Perplexity is revolutionizing how the world gets work done, and we do it alongside some of the most important companies in the world. We are seeking a PMM focused on Partnerships to formally build that function from the ground up. You will become the face that some of Perplexity's most important partners rely on, and the person who makes our joint moments land.
This is a 0>1 role with executive exposure from day one. It has two sides. You are the relationship owner who partners trust and internal teams turn to, and you are the program manager who keeps every joint launch, event, and campaign on the rails. You'll work directly with teams across comms, product marketing, sales, and product, owning how Perplexity and its partners show up to the world together.
If you learn fast, thrive in ambiguity, and build trust with the biggest companies in the world instinctively, this role is for you.
Own Perplexity's partner marketing function end to end, from joint strategy through campaign execution and reporting
Build annual joint marketing plans with our most important partners, with committed pipeline and revenue targets, and run the QBR cadence that keeps both sides accountable to them
Ensure Perplexity and our partners are both accountable. Execute, driving joint marketing ideas from concept to shipped and following through so commitments turn into real activity, not slideware
Own the joint value proposition and narrative, crafting the \"better together\" story so it is aligned across both companies, resonates with buyers, and is mutually beneficial
Execute full-funnel co-marketing with and through partners, including joint webinars, events, ABM, content syndication, email, and digital campaigns
Build partner enablement assets, including co-branded content, solution briefs, pitch decks, joint case studies, and campaign-in-a-box kits, so partner teams can sell and market with us at scale
Coordinate launch moments and joint announcements, amplifying Perplexity product launches and major industry moments through the ecosystem
Instrument measurement and attribution, tracking partner-sourced and partner-influenced pipeline in CRM, and reporting ecosystem impact to leadership.
Align the field, making sure Perplexity sales and Customer Success know about, trust, and activate partner programs so they stick
Act as connective tissue between Partnerships and BD, PMM, Demand Generation, Sales, and Comms, and serve as the primary marketing counterpart to our partners' marketing teams
Maintain strong relationships in partner organizations and Perplexity across diverse organizations
5+ years in B2B marketing, preferably in partner, alliance, or ecosystem marketing
Proven track record running joint go-to-market with technology and ISV partners, cloud providers, or system integrators, and shipping campaigns that generated real pipeline
A closer on accountability, with the operating discipline to build a plan, hold two organizations to it, and drive follow-through when commitments slip
Strong storyteller who can craft a joint narrative that is crisp, differentiated, and credible to buyers and executives on both sides
Full-funnel campaign operator fluent across webinars, events, ABM, content, and digital, comfortable executing hands-on rather than only directing
Analytically rigorous, with experience setting up attribution and reporting partner-sourced and influenced pipeline; comfortable in CRM and revenue operation tools
Excellent relationship builder who can be trusted while representing Perplexity's interests to partners
Autonomous self-starter who thrives in ambiguity, builds the playbook rather than waiting for one, and operates with urgency in a high-growth environment
In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people now use Perplexity to transform knowledge into action, and every action an agent takes is metered, budgeted, and settled through the billing platform this role owns.
As a monetization engineer at Perplexity, you'll own the abstractions that let product teams ship new SKUs, run pricing experiments, and convert users into paying customers, without needing to understand billing internals. The usage-based billing system this team owns is foundational to Perplexity Computer and our agentic products: metering every agent action in real time, enforcing credit budgets, and settling costs across entirely new interaction models. You'll work across subscriptions, usage-based billing, and enterprise contracts to ensure every revenue path is reliable, observable, and easy to extend.
Tech Stack: Python | Go | Stripe | PostgreSQL | AWS | Docker
Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious.
Ownership. You identify the problem, design the solution and ship it.
Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users.
Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products.
Partnership. We amplify each others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence.
Design, build, and own the billing platform and monetization systems that power Computer and every paid experience across Perplexity.
Lead features end-to-end, from problem definition through technical design, implementation, and launch, including the billing API abstractions that let product teams ship new SKUs, pricing models, and monetization experiments with minimal friction.
Build and operate the subscription, invoicing, and usage-based billing systems that serve millions of users across consumer and enterprise plans.
Hill-climb on reliability: tiered SLOs organized by customer impact, proactive monitoring, and alerting to catch revenue-affecting issues before customers do.
Partner closely with Finance, Data Science, Growth, Security, Support, and go-to-market teams to keep billing data accurate, auditable, and compliant, and to expand payment method coverage and optimize authorization rates globally.
Build internal tooling that empowers Support and Finance to diagnose and resolve billing issues quickly.
4+ years of professional software engineering experience.
Direct experience building or scaling billing, payments, subscription, or monetization systems.
Deep familiarity with payment processors (Stripe, Square, etc.), including subscriptions, invoicing, disputes, refunds, and webhooks.
Demonstrated experience and appetite for building in-house billing solutions that rival leading best-in-class buy options.
Strong backend engineering skills in Python with the ability to reason about complex distributed systems.
Experience with relational databases (PostgreSQL) and making data-informed decisions to prioritize work.
Strong product judgment, you translate user and stakeholder problems into simple, effective technical solutions.
Self-motivated with strong ownership instincts, you ship major features ahead of schedule and drive improvements without asking for permission.
Track record of cross-functional collaboration with Finance, Support, or Growth stakeholders.
Genuine interest and adoption of AI products and willingness to learn quickly.
2+ years of hands-on experience with the Stripe APIs and SDKs.
Experience with usage-based or metered billing models, especially metering agent actions, tokens, or other non-traditional units.
Experience with Apple and Google Play in-app purchase billing.
Familiarity with growth experimentation and PLG/self-serve SaaS monetization.
Experience building platform constructs that support pricing experiments and A/B testing.
Full-stack experience (our frontend is Next.js/React/TypeScript).
Experience in a regulatory or compliance-heavy billing environment.
Time spent at a fast-growing startup or on a high-ownership engineering team.
Perplexity is revolutionizing how companies get work done. We are seeking an Associate Product Marketing Manager to join our team and serve as the bridge between how our products actually work and how the world learns to use them. You will develop the deepest product understanding on the team and translate it into webinars and education materials that inspire adoption and drive growth.
If you have a passion for understanding how things work, thrive in taking something complex and making it simple, and want to build a world-class product education engine that turns new users into power users, this role is for you.
Know the product cold. Develop a deeper working knowledge of our products than anyone else in marketing, using every feature the day it ships, building the workflows yourself, and staying close to the teams that built them.
Turn complexity into clarity. Transform complex product capabilities into simple, specific, and accurate explanations, defining not just what we built, but how it works, when to use it, and why it matters.
Teach at scale. Own product webinars end to end, from content and live demos to delivery and follow-up, spanning onboarding series, feature deep-dives, and use-case walkthroughs.
Build the education engine. Create the product education materials our users learn from: how-to guides, demo flows, video walkthroughs, and use-case libraries that make customers materially better at their jobs.
Obsess over the user. Maintain a sharp, real-time view of what users misunderstand and where they get stuck, ensuring our education remains grounded in how people actually use the product rather than how we assume they do.
Measure outcomes, not just outputs. Tie webinars and education content to tangible activation, adoption, and retention, running lightweight experiments to iterate fast on format, content, and delivery.
Get products to launch. Own and coordinate the cross-functional workstreams that take products from built to launch, keeping teams aligned on dependencies, timelines, and the work needed to bring each launch to market.
2-3 years of experience in product marketing, customer education, business development, or a related role, ideally within a high-growth technology company, or work that proves the skill regardless of title.
Proven ability to synthesize complex technical concepts into simple, specific, and provable explanations that travel across new users, power users, and admins.
Genuine obsession with product: you explore every setting, test every new feature, and can explain what a product does better than the team that built it.
Sharp teaching and storytelling skills grounded in data, with the ability to summarize how a feature works in a single sentence and demonstrate it live.
High slope: you learn unfamiliar products and domains fast, and your rate of improvement is your standout trait.
Extreme comfort delivering clarity in high-velocity, ambiguous environments.
We build and run the inference engine behind every Perplexity query and deploy dozens of model architectures at scale with tight latency and cost budgets. Our stack is Rust, Python, CUDA, and CuTe DSL - and we need another engineer to join us.
Examples of real work the team does:
New models support. Support transformer-based retrieval, text-generation, and multimodal models in our inference infrastructure, from weight loading, request scheduling and KV-cache management to support in API Gateway.
GPU kernels migration to CuTe DSL. Port our in-house CUDA kernels to NVIDIA's CuTe DSL so they run on GB200 today and are portable to Vera Rubin racks tomorrow.
Rust-native serving runtime. Develop our internal Rust-based inference server to solve all Python pains and keep up with rapidly growing traffic.
Performance optimisation. Profile and fix bottlenecks from network ingress through continuous batching and GPU kernel interleaving.
Reliability and observability. Build dashboards, alerts, and automated remediation so we catch regressions before users do. Respond to and learn from production incidents.
Deep experience with GPU programming and performance work (CUDA, Triton, CUTLASS, or similar). Any other deep systems programming experience is a plus.
You understand modern LLM architectures and are able to bring them up reliably in a production environment.
You've built and operated production distributed systems under real load - ideally performance-critical ones.
Comfortable working across languages and layers: Rust for the serving runtime, Python for model code, CUDA/CuteDSL for kernels.
You own problems end-to-end. You can read a research paper on Monday, write a kernel on Wednesday, and debug a production incident on Friday.
Self-directed. You do well in fast-moving environments where the path forward isn't laid out for you.
ML compilers and framework internals: PyTorch internals, torch.compile, custom operators.
Distributed GPU communication: NCCL, NVLink, InfiniBand, RDMA libraries, model/tensor parallelism.
Low-precision inference: INT8/FP8/FP4 quantization, mixed-precision serving.
Profiling and debugging tools: Nsight Compute/Systems, CUDA-GDB, PTX/SASS analysis.
Container orchestration: Kubernetes, GPU scheduling, autoscaling inference workloads.
3+ years of professional software engineering experience with meaningful work on ML inference or high-performance systems.
Familiarity with at least one deep learning framework (PyTorch, JAX, TensorFlow).
Understanding of GPU architectures (memory hierarchy, warp scheduling, tensor cores).
Understanding of common LLM architectures and inference optimization techniques (e.g. quantization, speculative decoding, prefill-decode disaggregation).
We are looking for an AI Infra engineer to join our growing team. We work with Kubernetes, Slurm, Python, C++, PyTorch, and primarily on AWS. As an AI Infrastructure Engineer, you will be partnering closely with our Inference and Research teams to build, deploy, and optimize our large-scale AI training and inference clusters
Design, deploy, and maintain scalable Kubernetes clusters for AI model inference and training workloads
Manage and optimize Slurm-based HPC environments for distributed training of large language models
Develop robust APIs and orchestration systems for both training pipelines and inference services
Implement resource scheduling and job management systems across heterogeneous compute environments
Benchmark system performance, diagnose bottlenecks, and implement improvements across both training and inference infrastructure
Build monitoring, alerting, and observability solutions tailored to ML workloads running on Kubernetes and Slurm
Respond swiftly to system outages and collaborate across teams to maintain high uptime for critical training runs and inference services
Optimize cluster utilization and implement autoscaling strategies for dynamic workload demands
Strong expertise in Kubernetes administration, including custom resource definitions, operators, and cluster management
Hands-on experience with Slurm workload management, including job scheduling, resource allocation, and cluster optimization
Experience with deploying and managing distributed training systems at scale
Deep understanding of container orchestration and distributed systems architecture
High level familiarity with LLM architecture and training processes (Multi-Head Attention, Multi/Grouped-Query, distributed training strategies)
Experience managing GPU clusters and optimizing compute resource utilization
Expert-level Kubernetes administration and YAML configuration management
Proficiency with Slurm job scheduling, resource management, and cluster configuration
Python and C++ programming with focus on systems and infrastructure automation
Hands-on experience with ML frameworks such as PyTorch in distributed training contexts
Strong understanding of networking, storage, and compute resource management for ML workloads
Experience developing APIs and managing distributed systems for both batch and real-time workloads
Solid debugging and monitoring skills with expertise in observability tools for containerized environments
Experience with Kubernetes operators and custom controllers for ML workloads
Advanced Slurm administration including multi-cluster federation and advanced scheduling policies
Familiarity with GPU cluster management and CUDA optimization
Experience with other ML frameworks like TensorFlow or distributed training libraries
Background in HPC environments, parallel computing, and high-performance networking
Knowledge of infrastructure as code (Terraform, Ansible) and GitOps practices
Experience with container registries, image optimization, and multi-stage builds for ML workloads
Demonstrated experience managing large-scale Kubernetes deployments in production environments
Proven track record with Slurm cluster administration and HPC workload management
Previous roles in SRE, DevOps, or Platform Engineering with focus on ML infrastructure
Experience supporting both long-running training jobs and high-availability inference services
Ideally, 3-5 years of relevant experience in ML systems deployment with specific focus on cluster orchestration and resource management
Perplexity is looking for an Infrastructure Engineer to own and improve the backend systems behind our latency-sensitive search stack. You’ll work across high-QPS Rust and Go services, distributed retrieval systems, cloud infrastructure, observability, and deployment tooling.
This role combines infrastructure expertise with software engineering. You’ll take systems from design through production operation and use AI-native tools where they meaningfully improve engineering and operational workflows
Responsibilities
Build and operate scalable, low-latency infrastructure for search serving and retrieval.
Design and improve distributed backend systems that handle high request volumes.
Debug and optimize Linux systems, containers, networking, and production services.
Improve reliability through observability, capacity planning, performance profiling, and incident response.
Design, deploy, and operate cloud-native systems, primarily on AWS and Kubernetes.
Build internal tools and automation for development, testing, debugging, and infrastructure operations.
Improve CI/CD pipelines, release processes, and production rollout safety.
Contribute directly to product codebases across Rust, Go, and other systems languages.
Own systems end to end, from architecture and implementation to deployment and production operation.
Requirements
Strong experience with cloud infrastructure, distributed systems, and automation.
Deep understanding of Linux internals, performance analysis, and production debugging.
Experience building or operating latency-sensitive, high-throughput backend systems.
Experience with containers, orchestration, observability, and infrastructure as code.
Experience building or maintaining CI/CD systems and release tooling.
Fluency in at least one systems language, such as Rust, Go, C++, or Java.
Comfort working across infrastructure and application-level code.
Strong ownership and the ability to operate effectively in a fast-moving environment.
Nice To Have
Experience with search, retrieval, ranking, or other large-scale data-serving systems.
Experience operating Rust services in production.
Experience with AWS, Kubernetes, and modern observability systems.
Experience with profiling, capacity planning, and performance optimization.
Experience building AI-assisted developer or operational tooling.
Perplexity is seeking an experienced Machine Learning Engineer to help build the next generation of advanced search technologies, with a focus on retrieval and ranking.
Responsibilities
Relentlessly push search quality forward—through models, data, tools, or any other leverage available
Architect and build core components of our search platform and model stack
Train and evaluate retrieval, ranking and classification models, including LLMs
Deploy models - from boosting to LLMs - in a scalable and performant way
Build and optimize RAG pipelines for grounding and answer generation
Collaborate with Data, AI, Infrastructure and Product teams to ensure fast and high quality delivery
Qualifications
Deep understanding of search and retrieval systems, including quality evaluation principles and metrics
Proven track record with large-scale search or recommender systems
Self-driven, with a strong sense of ownership and execution
Minimum of 5 years of working on search or recsys-related projects
Perplexity is looking for a highly skilled Senior or Expert Systems Engineer to join our Search Core team. This role is critical to building next-generation search products and technologies. You will help drive key decisions around the architecture, design, and implementation of foundational components in our technical stack.
Responsibilities
Design and build core search engine components, including indexing pipelines, retrieval algorithms, and ranking systems that operate at the scale of billions of pages
Develop streaming and batch data processing systems for search index construction in a high-load environment
Push the limits of hardware performance through low-level optimizations and systems-level tuning
Tackle challenges in multithreading, concurrency, and system-level optimization
Qualifications
3+ years of hands-on experience in systems programming (Rust, C++, C, or similar)
Ownership of full project lifecycle — you don't just write a fast inner loop, you care about how the system is built, deployed, operated, and scaled in production
Knowledge of Python or other scripting languages
Passion for writing clean, efficient, and scalable systems-level code
Strong knowledge of algorithms and data structures, and the ability to apply them effectively
Deep understanding of multithreading, including various approaches, challenges, and trade-offs
Experience building high-load, distributed, and hardware-adjacent services
Solid understanding of Linux internals (syscalls, networking stack, memory model, kernel tuning)
Familiarity with low-level optimization techniques (memory management, cache efficiency, SIMD, profiling)
Preferred Qualifications
Experience developing core components of search engines, databases, or information retrieval systems
Understanding of search fundamentals: indexing, query parsing, ranking, and relevance
Experience with trading systems or other latency-sensitive real-time systems
Familiarity with cloud services, Kubernetes, and AWS infrastructure
We are seeking an experienced Backend Software Engineer to join our Crawler team. In this role, you will design, develop, and operate systems that ingest, process, and manage web-scale data in support of our next generation of advanced search technologies. This is a critical, high-impact engineering position, requiring expertise across both backend and frontend components of our data acquisition stack.
Responsibilities
Take ownership of and lead projects focused on developing large-scale web crawlers, ingestion pipelines, and data processing systems.
Build, maintain, and optimize core backend and frontend components for crawler services, including storage, retrieval, and UI dashboards for data management.
Collaborate closely with Search and Infrastructure teams to ensure the reliable, high-quality ingestion and processing of billions of web pages.
Architect and implement fullstack features and scalable distributed systems that handle high-load and real-time data operations.
Rapidly iterate, experiment with novel approaches, and continuously enhance system performance, usability, and reliability.
Qualifications
Minimum of 5 years of software development experience, with strong knowledge of data structures and algorithms in at least one of the following languages: Python, C++, Rust, or Go.
Experience with large-scale web crawlers is highly desirable.
Proven experience building, deploying, and optimizing high-load, distributed, and hardware-adjacent services.
Deep understanding of cloud infrastructure, with hands-on experience in Kubernetes (K8s) and AWS.
Demonstrated passion for writing clean, efficient, and scalable systems.
Perplexity is seeking top-tier AI Research Scientists and Engineers to advance our AI products and capabilities. We're building the future of AI-powered search and agent experiences through our Sonar models, Deep Research Agent, Comet Agent, and Search products. Join us in creating SOTA experiences that handle hundreds of millions of queries and continue to scale rapidly.
Team Structure
Depending on your interests and expertise, you'll work on one of three specialized teams:
1. Core Research Team (Horizontal)
Focus on generating and improving base models that power all our products. This team works on foundational model capabilities, post-training techniques, building RL infra and infrastructure that benefits the entire organization.
2. Agent Products Team (Vertical)
Concentrate on fine-tuning and optimizing models for our Deep Research Agent and Labs/Canvas products. This team bridges research and product, ensuring our agent capabilities deliver exceptional user experiences.
3. Comet Agent Team (Vertical)
Dedicated to developing and enhancing our Comet Agent product. This specialized team focuses on the unique requirements and optimizations needed for Comet's specific use cases.
Responsibilities
Research & Development
Post-train SOTA LLMs using the latest supervised and reinforcement learning techniques (SFT/DPO/GRPO)
Leverage our rich query/answer dataset to scale model performance across Sonar, Deep Research, Comet, and Search products
Stay current with the latest LLM research, especially in model training, optimization, and personalization techniques
Implement preference optimization and personalization capabilities to enhance user experience
Invent in-house improvements and optimizations to enhance SOTA models
Turn research ideas into algorithms and run experiments to launch new models
Infrastructure & Implementation
Own full-stack data, training, and evaluation pipelines required for model development
Build robust and effective training frameworks (on top of Megatron/PyTorch) for post-training LLMs
Implement necessary infrastructure and components to support cutting-edge model training at scale
Integrate models seamlessly into our product ecosystem
Collaboration
Work closely with engineering teams to integrate models into Perplexity's product suite
Collaborate across teams to ensure cohesive AI experiences throughout our platform
Partner with product teams to understand user needs and translate them into model improvements
Qualifications
Required
Proven experience with large-scale LLMs and Deep Learning systems
Strong programming skills in Python/PyTorch; versatility is a plus
Experience with post-training techniques and reinforcement learning
Self-starter with a willingness to take ownership of tasks
Passion for tackling challenging problems
Minimum 2-6 years of experience on relevant projects (depending on seniority level)
Nice-to-have
PhD in Machine Learning, AI, Systems, or related areas
Experience in post-training LLMs with SFT/DPO/GRPO
C++/CUDA programming skills
Experience building LLM training frameworks
Academic publications and research impact
Experience with agent systems and multi-step reasoning
Background in personalization and preference learning
Perplexity is looking for an Applied AI Engineer to design, build, and iterate on cutting-edge agents powering our core experience in Perplexity Computer. Working in this mission critical team, you will develop frontier context layer applications - fulfilling the curiosity of millions of users across the globe.
Key Responsibilities
Apply state-of-the-art ML and LLM techniques to solve problems spanning:
Personalization (LLM memory, context summarization, retrieval and ranking);
Contextual recommendations and Monetization applications
Build frontier agent capabilities on top of Perplexity Computer
Build auto research harness for both offline and online techniques, designing experiments and metrics that provide deep insight into quality and impact.
Own the entire model lifecycle from research to production: data analysis, modeling, evaluation, offline/online A/B testing, and iterative improvement and build autonomous harness for agent squad to explore different problem spaces.
Collaborate cross-functionally with engineers, PMs, data scientists, and designers to ensure our AI drives meaningful product improvements.
Stay at the forefront of ML/AI innovation by evaluating and incorporating emerging research and algorithms into the product lifecycle.
Preferred Qualifications
5+ years experience building and shipping robust AI products for large-scale, user-facing or data-driven products.
Strong software engineering skills (Python, production-quality codebases, collaborative development) and experience using agentic coding tools for large scale parallel developments.
In-depth experience with the full AI lifecycle: data analysis, rigorous evaluation, and ongoing monitoring/improvement.
Proven collaborator and communicator; excels in high-velocity, cross-functional teams.
Curious, driven by end-user/product impact, and passionate about advancing the state of applied ML and AI.
BS, MS, or PhD in Computer Science, Engineering, or related field (or equivalent experience).
Bonus Points For
Experience with LLM context engineering or harness engineering.
Experience in mid-training or post-training frontier open source models
Experience in large scale user-centric and content-centric personalization challenges (user modeling, retrieval, content ranking, etc).
","descriptionPlain":"Perplexity is looking for an Applied AI Engineer to design, build, and iterate on cutting-edge agents powering our core experience in Perplexity Computer. Working in this mission critical team, you will develop frontier context layer applications - fulfilling the curiosity of millions of users across the globe.\n\n\n\nKey Responsibilities\n\n - Apply state-of-the-art ML and LLM techniques to solve problems spanning:\n \n - Personalization (LLM memory, context summarization, retrieval and ranking);\n \n - Contextual recommendations and Monetization applications\n \n - Build frontier agent capabilities on top of Perplexity Computer\n\n - Build auto research harness for both offline and online techniques, designing experiments and metrics that provide deep insight into quality and impact.\n\n - Own the entire model lifecycle from research to production: data analysis, modeling, evaluation, offline/online A/B testing, and iterative improvement and build autonomous harness for agent squad to explore different problem spaces.\n\n - Collaborate cross-functionally with engineers, PMs, data scientists, and designers to ensure our AI drives meaningful product improvements.\n\n - Stay at the forefront of ML/AI innovation by evaluating and incorporating emerging research and algorithms into the product lifecycle.\n\n\n\nPreferred Qualifications\n\n - 5+ years experience building and shipping robust AI products for large-scale, user-facing or data-driven products.\n\n - Strong software engineering skills (Python, production-quality codebases, collaborative development) and experience using agentic coding tools for large scale parallel developments.\n\n - In-depth experience with the full AI lifecycle: data analysis, rigorous evaluation, and ongoing monitoring/improvement.\n\n - Proven collaborator and communicator; excels in high-velocity, cross-functional teams.\n\n - Curious, driven by end-user/product impact, and passionate about advancing the state of applied ML and AI.\n\n - BS, MS, or PhD in Computer Science, Engineering, or related field (or equivalent experience).\n\n\n\nBonus Points For\n\n - Experience with LLM context engineering or harness engineering.\n\n - Experience in mid-training or post-training frontier open source models\n\n - Experience in large scale user-centric and content-centric personalization challenges (user modeling, retrieval, content ranking, etc).\n\n "},{"id":"09a2f0e5-c38c-49ee-a5af-9a179e137a44","title":"Commercial Counsel/Senior Counsel","department":"Legal","team":"Legal","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[{"location":"New York City","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York City"}}}],"publishedAt":"2026-09-14T21:53:21.052+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/perplexity/09a2f0e5-c38c-49ee-a5af-9a179e137a44","applyUrl":"https://jobs.ashbyhq.com/perplexity/09a2f0e5-c38c-49ee-a5af-9a179e137a44/application","descriptionHtml":"
Perplexity is looking for a commercially minded attorney to join our Legal team. In this role, you’ll own the full commercial legal lifecycle. You will draft, negotiate, and close a wide range of agreements across partnerships, procurement, infrastructure, and licensing. You will build scalable legal infrastructure and enable the business to move quickly without unacceptable risk.
You’ll work closely with teams across the business, including product, engineering, security, finance, and sales to close deals, strengthen our data security and compliance posture, and serve as a trusted advisor on the AI-specific legal questions that come with operating at the frontier of this technology. The ideal candidate brings deep experience negotiating a wide range of commercial technology agreements, including infrastructure and compute procurement agreements, a strong command of data privacy and security frameworks, and the practical judgment to make principled risk calls independently. This is a high-impact, hands-on role for someone who thrives in fast-paced environments, knows how to be a true partner to the business without being a bottleneck, and is excited to help build a best-in-class legal function at one of the most consequential AI companies in the world.
Responsibilities
Lead end-to-end drafting, review, and negotiation of commercial agreements, including MSAs, SaaS and API agreements, DPAs, partnership and reseller agreements, strategic collaboration and co-marketing agreements, procurement and vendor contracts, technology and infrastructure agreements, and IP licensing arrangements.
Serve as a primary legal partner across the business, providing fast, practical, and business-aligned counsel that accelerates deal velocity without compromising on risk Management.
Provide strategic counsel on legal risks across AI infrastructure, compute, partnerships, and enterprise deployments as the company scales.
Advise on AI-specific legal considerations in commercial agreements, including acceptable use, data retention and training restrictions, output liability, and evolving regulatory requirements (e.g., EU AI Act, CCPA/CPRA, GDPR).
Build and maintain scalable legal infrastructure—contract templates, negotiation playbooks, fallback positions, and tools (e.g., CLM, self-serve workflows)—to support high-volume deal flow and reduce friction in the contracting cycle.
Partner cross-functionally with Product, Engineering, Security, Finance, and Compliance teams to surface and address legal risk early, particularly on data use, enterprise integrations, and customer-specific compliance requirements.
Monitor the evolving regulatory landscape for enterprise AI and SaaS products and translate emerging requirements into practical contractual and policy guidance for internal stakeholders.
Qualifications
JD and in good standing with an active U.S. state bar membership.
At least 5+ years of law firm and/or in-house experience, with a track record of drafting and negotiating complex commercial technology agreements.
Strong business acumen and ability to partner effectively with sales, product, engineering, and executive teams.
Deep familiarity with data privacy and security frameworks (GDPR, CCPA/CPRA, SOC 2, HIPAA) and experience negotiating DPAs and related compliance agreements.
Prior experience with infrastructure agreements is strongly preferred, including compute procurement (e.g., GPU capacity and cloud/neocloud agreements, colocation, and related SLA and acceptance terms).
Ability to communicate clearly with business and technical audiences and effectively translate legal concepts for non-lawyers.
Hands-on attitude to tackle projects large and small, low-ego approach to working across the organization.
Positive collaborative attitude, comfort with ambiguity and a fast pace, high level of integrity, and intellectual curiosity about AI technology and how these products work.
Comfortable working in a fast-paced, dynamic environment.
Title and Pay dependent on YOE (Counsel or Senior Counsel)
","descriptionPlain":"Perplexity is looking for a commercially minded attorney to join our Legal team. In this role, you’ll own the full commercial legal lifecycle. You will draft, negotiate, and close a wide range of agreements across partnerships, procurement, infrastructure, and licensing. You will build scalable legal infrastructure and enable the business to move quickly without unacceptable risk.\n\n\n\nYou’ll work closely with teams across the business, including product, engineering, security, finance, and sales to close deals, strengthen our data security and compliance posture, and serve as a trusted advisor on the AI-specific legal questions that come with operating at the frontier of this technology. The ideal candidate brings deep experience negotiating a wide range of commercial technology agreements, including infrastructure and compute procurement agreements, a strong command of data privacy and security frameworks, and the practical judgment to make principled risk calls independently. This is a high-impact, hands-on role for someone who thrives in fast-paced environments, knows how to be a true partner to the business without being a bottleneck, and is excited to help build a best-in-class legal function at one of the most consequential AI companies in the world.\n\n\n\nResponsibilities\n\n - Lead end-to-end drafting, review, and negotiation of commercial agreements, including MSAs, SaaS and API agreements, DPAs, partnership and reseller agreements, strategic collaboration and co-marketing agreements, procurement and vendor contracts, technology and infrastructure agreements, and IP licensing arrangements.\n\n - Serve as a primary legal partner across the business, providing fast, practical, and business-aligned counsel that accelerates deal velocity without compromising on risk Management.\n\n - Provide strategic counsel on legal risks across AI infrastructure, compute, partnerships, and enterprise deployments as the company scales.\n\n - Advise on AI-specific legal considerations in commercial agreements, including acceptable use, data retention and training restrictions, output liability, and evolving regulatory requirements (e.g., EU AI Act, CCPA/CPRA, GDPR).\n\n - Build and maintain scalable legal infrastructure—contract templates, negotiation playbooks, fallback positions, and tools (e.g., CLM, self-serve workflows)—to support high-volume deal flow and reduce friction in the contracting cycle.\n\n - Partner cross-functionally with Product, Engineering, Security, Finance, and Compliance teams to surface and address legal risk early, particularly on data use, enterprise integrations, and customer-specific compliance requirements.\n\n - Monitor the evolving regulatory landscape for enterprise AI and SaaS products and translate emerging requirements into practical contractual and policy guidance for internal stakeholders.\n\nQualifications\n\n - JD and in good standing with an active U.S. state bar membership.\n\n - At least 5+ years of law firm and/or in-house experience, with a track record of drafting and negotiating complex commercial technology agreements.\n\n - Strong business acumen and ability to partner effectively with sales, product, engineering, and executive teams.\n\n - Deep familiarity with data privacy and security frameworks (GDPR, CCPA/CPRA, SOC 2, HIPAA) and experience negotiating DPAs and related compliance agreements.\n\n - Prior experience with infrastructure agreements is strongly preferred, including compute procurement (e.g., GPU capacity and cloud/neocloud agreements, colocation, and related SLA and acceptance terms).\n\n - Ability to communicate clearly with business and technical audiences and effectively translate legal concepts for non-lawyers.\n\n - Hands-on attitude to tackle projects large and small, low-ego approach to working across the organization.\n\n - Positive collaborative attitude, comfort with ambiguity and a fast pace, high level of integrity, and intellectual curiosity about AI technology and how these products work.\n\n - Comfortable working in a fast-paced, dynamic environment.\n\n\n\nTitle and Pay dependent on YOE (Counsel or Senior Counsel)"},{"id":"9a570310-305d-4f4e-9807-b8862b31194b","title":"Enterprise Customer Success Manager","department":"Customer Success & Support","team":"Customer Success & Support","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[{"location":"Austin","address":{"postalAddress":{"addressRegion":"Texas","addressCountry":"United States","addressLocality":"Austin"}}},{"location":"New York City","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York City"}}}],"publishedAt":"2025-10-06T22:20:17.736+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/perplexity/9a570310-305d-4f4e-9807-b8862b31194b","applyUrl":"https://jobs.ashbyhq.com/perplexity/9a570310-305d-4f4e-9807-b8862b31194b/application","descriptionHtml":"We are looking for an experienced Enterprise Customer Success Manager to join our Enterprise team. In this crucial role, you’ll be responsible for executing onboarding and adoption strategies through key client ownership across our Enterprise clientele. The ideal candidate will have a proven track record in tech of driving enterprise-level engagement, retention, and growth.
You will work closely with other members of the Enterprise team, making strong communication and collaboration skills vital. A core sense of conviction and a “can-do” attitude are prerequisites. Your success will play a crucial part in expanding Perplexity's market presence and contributing to the company's overall success.
Execute the Enterprise customer success strategy developed by leadership
Serve as a primary point of contact for key enterprise clients
Drive initial enablement through high quality onboarding and training
Identify and support opportunities for growth and client expansion
Manage retention, working with clients to quantify value delivered
Advocate for client needs, and collaborate with cross-functional teams to drive product development
Monitor and report on established key performance indicators, analyze data to identify trends
5+ years experience in Customer Success or Account Management roles at scaling tech companies, specifically working with enterprise clients
Proven track record of driving enterprise-level satisfaction, growth, and retention
Excellent communication and presentation skills, with the ability to engage C-level executives
A self-starter by nature, comfortable dealing with ambiguity and juggling multiple initiatives.
Ability to work under pressure, thriving in demanding environments
Ability to work independently and as part of a collaborative team
Proficiency in CRM systems and customer success tool
Impact at Scale – Your work directly influences hundreds of enterprise clients and millions of end-users at an unprecedented scale to encourage personalized support
Velocity & Ownership – Excel in a culture that values curiosity, speed, and quality
Cutting-Edge Tech – Operate at the forefront of applied LLMs and help invent how AI can redefine customer support itself.
Compensation
This role has a set base salary plus a variable component. OTE is $170-220k
","descriptionPlain":"We are looking for an experienced Enterprise Customer Success Manager to join our Enterprise team. In this crucial role, you’ll be responsible for executing onboarding and adoption strategies through key client ownership across our Enterprise clientele. The ideal candidate will have a proven track record in tech of driving enterprise-level engagement, retention, and growth.\n\nYou will work closely with other members of the Enterprise team, making strong communication and collaboration skills vital. A core sense of conviction and a “can-do” attitude are prerequisites. Your success will play a crucial part in expanding Perplexity's market presence and contributing to the company's overall success.\n\n\n\n\nRESPONSIBILITIES\n\n - Execute the Enterprise customer success strategy developed by leadership\n\n - Serve as a primary point of contact for key enterprise clients\n\n - Drive initial enablement through high quality onboarding and training\n\n - Identify and support opportunities for growth and client expansion\n\n - Manage retention, working with clients to quantify value delivered\n\n - Advocate for client needs, and collaborate with cross-functional teams to drive product development\n\n - Monitor and report on established key performance indicators, analyze data to identify trends\n\n\nREQUIREMENTS\n\n - 5+ years experience in Customer Success or Account Management roles at scaling tech companies, specifically working with enterprise clients\n\n - Proven track record of driving enterprise-level satisfaction, growth, and retention\n\n - Excellent communication and presentation skills, with the ability to engage C-level executives\n\n - A self-starter by nature, comfortable dealing with ambiguity and juggling multiple initiatives.\n\n - Ability to work under pressure, thriving in demanding environments\n\n - Ability to work independently and as part of a collaborative team\n\n - Proficiency in CRM systems and customer success tool\n\n\nWHY PERPLEXITY?\n\n - Impact at Scale – Your work directly influences hundreds of enterprise clients and millions of end-users at an unprecedented scale to encourage personalized support\n\n - Velocity & Ownership – Excel in a culture that values curiosity, speed, and quality\n\n - Cutting-Edge Tech – Operate at the forefront of applied LLMs and help invent how AI can redefine customer support itself.\n \n\nCompensation\n\nThis role has a set base salary plus a variable component. OTE is $170-220k"},{"id":"977b626c-5546-42c6-95c8-4e2350ec41c9","title":"Governance, Risk & Compliance Analyst ","department":"Governance, Risk & Compliance ","team":"Governance, Risk & Compliance ","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2026-07-08T16:08:06.486+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/perplexity/977b626c-5546-42c6-95c8-4e2350ec41c9","applyUrl":"https://jobs.ashbyhq.com/perplexity/977b626c-5546-42c6-95c8-4e2350ec41c9/application","descriptionHtml":"Perplexity is seeking a highly experienced Governance, Risk & Compliance Analyst to join our world-class team. You will help shape our compliance and risk management program. If you are a self-motivated, organized professional with a passion for driving compliance and building customer trust, this is an exciting chance to join a fast-growing startup and help revolutionize the way people search and interact online.
Implement and lead frameworks such as SOC2, ISO 27001 and HIPAA. Ensuring compliance with certification requirements
Ensure and maintain compliance with GDPR, CCPA, CPRA and other privacy regulations
Design and build scalable audit management processes and documentation systems that will support future expansion to additional compliance frameworks
Build internal GRC platform and tooling
Conduct risk assessments and mitigate data security and compliance risks
Write, update and enact policies capturing security, privacy, and AI safety requirements
Follow and help shape the AI regulatory and standards landscape to keep the company at the forefront of industry developments and best practices
6+ years of experience leading engagements in audit and compliance
Experience translating complex compliance requirements into scalable automation using AI agents and custom built tooling
Worked in high tech companies in cloud-native environments
Able to translate complex compliance requirements into clear and actionable work-streams
Strong commitment to cross-functional collaboration with IT, Security, GTM, and Engineering
Self-motivated, detailed and organized, with a diligent approach to project completion
Excellent written, verbal, and interpersonal communication skills
We are looking for an AI Inference Engineer to join our growing team. We build and run the inference engine behind every Perplexity query and deploy dozens of model architectures at scale with tight latency and cost budgets. Our stack is Rust, Python, CUDA, and CuTe DSL.
New models support. Support transformer-based retrieval, text-generation, and multimodal models in our inference infrastructure, from weight loading, request scheduling and KV-cache management to support in API Gateway.
GPU kernels migration to CuTe DSL. Port our in-house CUDA kernels to NVIDIA's CuTe DSL so they run on GB200 today and are portable to Vera Rubin racks tomorrow.
Rust-native serving runtime. Develop our internal Rust-based inference server to solve all Python pains and keep up with rapidly growing traffic.
Performance optimisation. Profile and fix bottlenecks from network ingress through continuous batching and GPU kernels interleaving.
Reliability and observability. Build dashboards, alerts, and automated remediation so we catch regressions before users do. Respond to and learn from production incidents.
Deep experience with GPU programming and performance work (CUDA, Triton, CUTLASS, or similar). Any other deep systems programming experience is a plus.
You understand modern LLM architectures and are able to bring them up reliably in a production environment.
You've built and operated production distributed systems under real load - ideally performance-critical ones.
Comfortable working across languages and layers: Rust for the serving runtime, Python for model code, CUDA/CuteDSL for kernels.
You own problems end-to-end. You can read a research paper on Monday, write a kernel on Wednesday, and debug a production incident on Friday.
Self-directed. You do well in fast-moving environments where the path forward isn't laid out for you.
ML compilers and framework internals: PyTorch internals, torch.compile, custom operators.
Distributed GPU communication: NCCL, NVLink, InfiniBand, RDMA libraries, model/tensor parallelism.
Low-precision inference: INT8/FP8/FP4 quantization, mixed-precision serving.
Profiling and debugging tools: Nsight Compute/Systems, CUDA-GDB, PTX/SASS analysis.
Container orchestration: Kubernetes, GPU scheduling, autoscaling inference workloads.
3+ years of professional software engineering experience with meaningful work on ML inference or high-performance systems.
Familiarity with at least one deep learning framework (PyTorch, JAX, TensorFlow).
Understanding of GPU architectures (memory hierarchy, warp scheduling, tensor cores).
Understanding of common LLM architectures and inference optimization techniques (e.g. quantization, speculative decoding, prefill-decode disaggregation).
Final offer amounts are determined by multiple factors including experience and expertise.
Equity: In addition to the base salary, equity may be part of the total compensation package.
","descriptionPlain":"We are looking for an AI Inference Engineer to join our growing team. We build and run the inference engine behind every Perplexity query and deploy dozens of model architectures at scale with tight latency and cost budgets. Our stack is Rust, Python, CUDA, and CuTe DSL.\n\n\n\n\n\nRESPONSIBILITIES: \n\n - New models support. Support transformer-based retrieval, text-generation, and multimodal models in our inference infrastructure, from weight loading, request scheduling and KV-cache management to support in API Gateway.\n\n - GPU kernels migration to CuTe DSL. Port our in-house CUDA kernels to NVIDIA's CuTe DSL so they run on GB200 today and are portable to Vera Rubin racks tomorrow.\n\n - Rust-native serving runtime. Develop our internal Rust-based inference server to solve all Python pains and keep up with rapidly growing traffic.\n\n - Performance optimisation. Profile and fix bottlenecks from network ingress through continuous batching and GPU kernels interleaving.\n\n - Reliability and observability. Build dashboards, alerts, and automated remediation so we catch regressions before users do. Respond to and learn from production incidents.\n\n\nWHO WE'RE LOOKING FOR:\n\n - Deep experience with GPU programming and performance work (CUDA, Triton, CUTLASS, or similar). Any other deep systems programming experience is a plus.\n\n - You understand modern LLM architectures and are able to bring them up reliably in a production environment.\n\n - You've built and operated production distributed systems under real load - ideally performance-critical ones.\n\n - Comfortable working across languages and layers: Rust for the serving runtime, Python for model code, CUDA/CuteDSL for kernels.\n\n - You own problems end-to-end. You can read a research paper on Monday, write a kernel on Wednesday, and debug a production incident on Friday.\n\n - Self-directed. You do well in fast-moving environments where the path forward isn't laid out for you.\n\n\nNICE-TO-HAVE: \n\n - ML compilers and framework internals: PyTorch internals, torch.compile, custom operators.\n\n - Distributed GPU communication: NCCL, NVLink, InfiniBand, RDMA libraries, model/tensor parallelism.\n\n - Low-precision inference: INT8/FP8/FP4 quantization, mixed-precision serving.\n\n - Profiling and debugging tools: Nsight Compute/Systems, CUDA-GDB, PTX/SASS analysis.\n\n - Container orchestration: Kubernetes, GPU scheduling, autoscaling inference workloads.\n\n\nQUALIFICATIONS:\n\n - 3+ years of professional software engineering experience with meaningful work on ML inference or high-performance systems.\n\n - Familiarity with at least one deep learning framework (PyTorch, JAX, TensorFlow).\n\n - Understanding of GPU architectures (memory hierarchy, warp scheduling, tensor cores).\n\n - Understanding of common LLM architectures and inference optimization techniques (e.g. quantization, speculative decoding, prefill-decode disaggregation).\n\nFinal offer amounts are determined by multiple factors including experience and expertise.\n\nEquity: In addition to the base salary, equity may be part of the total compensation package."},{"id":"6c9b3c71-85ba-47db-bce5-44fd9fa95d03","title":"Member of Technical Staff (Software Engineer, Security)","department":"Security","team":"Security","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[{"location":"Remote (United States)","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States"}}},{"location":"London","address":{"postalAddress":{"addressRegion":"","addressCountry":"United Kingdom","addressLocality":"London"}}},{"location":"Belgrade","address":{"postalAddress":{"addressRegion":"","addressCountry":"Serbia","addressLocality":"Belgrade"}}},{"location":"New York City","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York City"}}}],"publishedAt":"2025-12-02T23:43:40.164+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/perplexity/6c9b3c71-85ba-47db-bce5-44fd9fa95d03","applyUrl":"https://jobs.ashbyhq.com/perplexity/6c9b3c71-85ba-47db-bce5-44fd9fa95d03/application","descriptionHtml":"Perplexity is seeking a hands-on Software Engineer to build and evolve the software, automations, and systems that power our security operations. This role focuses on engineering security tools and internal AI-driven agents that improve detection and response, vulnerability management, and the overall security posture of our products and infrastructure.
Design, build, and maintain software and automation that improves our detection and response program, including alert enrichment, triage workflows, and investigation tooling.
Implement and enhance internal AI agents and security bots that assist with monitoring, investigations, reporting, and other security operation tasks.
Develop and operate systems and workflows that support the bug bounty and vulnerability disclosure program, including intake, triage, prioritization, and remediation tracking.
Partner with product and engineering teams to threat model new features and systems, propose mitigations, and add guardrails into designs and implementations.
Contribute to secure-by-default libraries, services, and patterns that make it easy for teams to build secure features.
Integrate security signals from cloud, endpoints, SaaS, and applications into cohesive pipelines and data models that support detection and analysis.
Build automation to reduce manual work in incident response, containment, and remediation.
Collaborate with security engineers and other software engineers to review designs and code, and to continuously improve our security tooling and platforms.
4+ years of experience as a software engineer with significant time spent building security-related tools, platforms, or automations, or in a security engineering role with strong software development responsibilities.
Proficiency in at least one major programming language (such as Python, Go, or TypeScript) and experience building production services, CLIs, or internal tools.
Experience integrating with security-relevant systems such as logging pipelines, SIEMs, EDR, cloud APIs, or identity platforms.
Practical experience with threat modeling, secure design, or application security reviews for services or features.
Experience operating or contributing to bug bounty or vulnerability management programs is a plus.
Familiarity with cloud infrastructure (AWS preferred) and modern SaaS environments.
Ability to work closely with cross-functional teams, own projects end-to-end, and ship pragmatic, high-impact improvements.
Bonus: Experience designing or improving AI-powered agents or automation used for security operations.
Perplexity is looking for a Search Machine Learning Engineer Intern to help build the next generation of advanced search technologies, with a focus on retrieval and ranking. You will work closely with experienced engineers to improve search quality, experiment with new models, and ship features that directly impact how users search and discover information.
Internship program: 12 - 24 weeks, full-time, part-time, in-person in the Belgrade office.
Responsibilities:
Contribute to experiments that improve search quality through better models, data usage, and evaluation tools, under the guidance of senior engineers.
Design and implement components of the search platform and model stack, including retrieval, ranking, and classification models.
Train evaluating models (including LLM-based approaches) for retrieval, ranking, and classification tasks.
Support deployment and monitoring of search and ranking models in a scalable and performant way.
Help build and iterate on RAG pipelines for grounding and answer generation.
Collaborate with Data, AI, Infrastructure and Product teams to deliver improvements quickly and learn best practices in production ML.
Qualifications:
Strong foundation in machine learning and statistics, with coursework or projects related to information retrieval, ranking, or recommender systems.
Experience with Python and common ML frameworks (e.g. PyTorch, TensorFlow, JAX) through academic, open source, or personal projects.
Familiarity with evaluating model quality using offline metrics and/or A/B testing is a plus, but not required.
Previous experience (internships, research, or significant projects) working on search, recommendation, or NLP is a plus, but not required.
Self-driven and curious, with a strong sense of ownership, willingness to learn, and comfort working in a fast-paced environment
Experience with Rust will be a plus
What we're looking for:
You’ve built something you’re proud of: Not just a class assignment - we want to see a project you genuinely cared about and took the initiative to build and finish.
You’re currently enrolled at a Serbian university: Bachelor’s, Master’s, or PhD program or you’re self-taught with a strong passion for software engineering and technology.
You’re curious, persistent, and self-driven: you take ownership, work through challenges, and follow through on what you start.
You’re eager to learn and improve: you’re willing to put in the work, develop your skills, and get better every week.
You’re comfortable working in English: in a collaborative, professional environment.
You thrive in a high-performance environment: you’re comfortable with high standards, direct feedback, and a fast pace.
You’re willing to challenge and be challenged: You’re comfortable asking questions, sharing your perspective, and pushing back constructively when it matters.
Internship Program Berlin
Internship program: 12 - 24 weeks, full-time, in-person in the Berlin office.
Responsibilities
Relentlessly push search quality forward — through models, data, tools, or any other leverage available.
Train, and optimize large-scale deep learning models using frameworks like PyTorch, leveraging distributed training (e.g., PyTorch Distributed, DeepSpeed, FSDP) and hardware acceleration, with a focus on retrieval and ranking models.
Conduct research in representation learning, including contrastive learning, multilingual, evaluation, and multimodal modeling for search and retrieval.
Build and optimize RAG pipelines for grounding and answer generation.
Qualifications
Understanding of search and retrieval systems, including quality evaluation principles and metrics.
Strong proficiency with PyTorch, including experience in distributed training techniques and performance optimization for large models.
Interested in representation learning, including contrastive learning, dense & sparse vector representations, representation fusion, cross-lingual representation alignment, training data optimization and robust evaluation.
Publication record in AI/ML conferences or workshops (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, SIGIR).
Perplexity is looking for a Backend/Infrastructure Engineer Intern to support our small, high-impact team building the systems that power our search experience. You will work closely with experienced engineers to help design, build, and operate robust infrastructure and backend services that keep Perplexity fast, reliable, and scalable.
Internship program: 12 - 24 weeks, full-time, part-time, in-person in the Belgrade office.
Responsibilities:
Build and maintain infrastructure that supports high-performance search systems, with mentorship from senior engineers.
Design internal tools and automation to improve developer workflows and operational efficiency.
Support the design, deployment, and monitoring of cloud-native systems on AWS.
Contribute to improving CI/CD pipelines, testing infrastructure, and release processes.
Debug and optimize Linux-based services, containers, and backend systems.
Contribute to product codebases, primarily using Rust, Go or C++.
Qualifications:
Working towards a degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
Familiarity with at least one programming language such as Go, Rust, or C/C++, through coursework or projects.
Basic understanding or exposure to cloud infrastructure (e.g. AWS) and Linux systems is a plus, not a requirement.
Interest in infrastructure, distributed systems, or backend engineering, with willingness to learn about CI/CD, monitoring, and performance.
A proactive and curious learner who enjoys collaborating in a fast-paced, innovative environment
What we're looking for:
You’ve built something you’re proud of: Not just a class assignment - we want to see a project you genuinely cared about and took the initiative to build and finish.
You’re currently enrolled at a Serbian university: Bachelor’s, Master’s, or PhD program or you’re self-taught with a strong passion for software engineering and technology.
You’re curious, persistent, and self-driven: you take ownership, work through challenges, and follow through on what you start.
You’re eager to learn and improve: you’re willing to put in the work, develop your skills, and get better every week.
You’re comfortable working in English: in a collaborative, professional environment.
You thrive in a high-performance environment: you’re comfortable with high standards, direct feedback, and a fast pace.
You’re willing to challenge and be challenged: You’re comfortable asking questions, sharing your perspective, and pushing back constructively when it matters.
About the Role
We’re looking for a Senior Web QA Engineer to join our Web QA team and help maintain the quality of the core web experience used by millions of people every day.
In this role, you’ll test the web products and work closely with engineers to find, report, and help resolve issues early. You’ll also look at how the web experience fits into the wider Perplexity product ecosystem, making sure key flows work consistently across surfaces.
Key Responsibilities
Test Perplexity’s web product across browsers, devices, and screen sizes, checking functionality, reliability, and performance throughout the development cycle.
Run end-to-end integration testing with other Perplexity products, validating shared flows, accounts, and features.
Work directly with engineers to prioritize critical bugs, write clear and actionable bug reports, and help get issues resolved.
Create and maintain test documentation, including test cases, checklists, and test plans, keeping them current as the product changes.
Analyze high-impact user-reported issues and incidents, then share insights that help improve both the product and our QA process.
Fix small, low-risk issues yourself where appropriate, shipping simple fixes to reduce engineering overhead and speed up resolution.
Qualifications
5+ years of experience in QA, with strong hands-on experience testing web applications
Solid experience with web testing, including cross-browser and responsive testing, debugging with browser DevTools (console, network, performance), and validating functionality across environments and builds
Experience with integration and end-to-end testing across multiple connected products or services
Strong communication skills, with the ability to work effectively with engineering, product, and other QA teams
Proactive use of AI coding tools (e.g. Cursor, Claude Code) to navigate the codebase, debug issues, and ship small fixes independently
Perplexity is revolutionizing how companies get work done. We are seeking a Product Marketing Manager to join our team and serve as the strategic bridge between our product reality and market impact. You will architect the external narrative of our products and amplify their value to inspire adoption and drive growth.
If you have a passion for creating clarity when things are messy, thrive in turning ambiguity into a definitive point of view, and want to build a world-class marketing engine that drives launches as systems rather than events, this role is for you.
Turn ambiguity into clarity. Transform complex product capabilities into a crisp market point of view, defining not just what we built, but who it’s for, what it replaces, and why it wins.
Drive launches as a system, not an event. Orchestrate product introductions by defining success metrics and sequencing readiness across teams, ensuring enablement and proof points land simultaneously with the launch.
Make others materially better at their jobs. Equip customer-facing teams with \"talk tracks that close,\" handling objections and providing competitive intelligence that reflects the actual battlefield.
Obsess over the customer and the market. Maintain a sharp, real-time view of buyer needs and alternatives, ensuring our narrative remains grounded in truth and provable value rather than empty hype.
Measure outcomes, not just outputs. Tie messaging and launches to tangible pipeline influence, activation, and retention, running lightweight experiments to iterate fast on pricing, packaging, and positioning.
Influence without authority. Lead through alignment by pre-wiring decisions, surfacing risks early, and managing trade-offs to keep product, sales, and marketing moving in lockstep.
8+ years of experience in product marketing, ideally within a high-growth technology company where you have owned end-to-end product launches.
Proven track record of synthesizing complex technical concepts into simple, specific, and provable narratives that travel across executive, sales, and partner teams.
Deep familiarity with the rules of traditional marketing with an interest in breaking them.
World-class storytelling skills grounded in data, with the ability to summarize a product’s value in a single sentence and defend it with evidence.
Extreme comfort delivering clarity in high-velocity, ambiguous environments.
Perplexity is revolutionizing how companies get work done. We are seeking a Senior Manager, Executive Communications to join our team and serve as a strategic partner to our leadership. You will architect and amplify the voices of our executives to inspire our rapidly growing team.
If you have a passion for shaping culture through communication, thrive in bridging the gap between leadership vision and employee engagement, and want to build a world-class communications function from 0 to 1, this role is for you.
Create exceptional and strategic executive communications, including stage speeches, leadership emails, board decks, and other formats that require excellent writing and critical thinking to articulate the company vision and strategy.
Lead Perplexity's next phases of growth, managing complex information flow during high-growth, evolving and owning all-hands presentations, Slack communications, and more.
Develop a unique and authentic voice for our executives and company leaders internally and externally.
Synthesize complex AI-related topics and business strategies into clear narratives internally and externally.
Partner closely with all teams to lead change management communications, translating complex organizational updates into simple and compelling messages.
7+ years of experience in executive communications, ideally within a high-growth technology company or leading communication agency.
Proven track record of supporting senior executives and managing complex change management initiatives.
World-class writing, editing, and storytelling skills with the ability to capture different executive tones.
Deep familiarity with the rules with an interest in breaking them.
Attention to detail and the ability to execute quickly in a fast-paced environment.
Extreme comfort working with senior executives, principled confrontation, and inspiring audiences in multiple formats and contexts.
The Enterprise Knowledge Platform team builds the data and action layer that connects Perplexity's agents to the systems where enterprise work happens. Useful agents need more than access to APIs: they need to discover the right tools, understand an organization's data and terminology, and act reliably within its permissions. This team brings native connectors, MCP servers, and CLI-backed tools into a consistent platform, and builds the marketplace through which customers adopt integrations and partners extend the ecosystem.
This is a product and platform engineering role with end-to-end ownership, from designing connector infrastructure and semantic models to shipping the experiences customers use to discover, connect, and activate integrations. You'll build the runtime that executes tool calls, the knowledge layer that makes enterprise context reusable across connectors, and the developer and marketplace foundations that help the ecosystem grow. Working with AI Research and Enterprise teams, you'll turn fragmented systems into reliable, permission-aware capabilities that agents can use to complete real work. The impact is direct: every improvement helps customers put their existing software and knowledge to work through Perplexity.
Own the connector runtime that registers, hosts, and executes native connectors, hosted MCP servers, and CLI-backed tools through a consistent agent-facing interface.
Build the semantic and knowledge layer, including tool and entity schemas, capability metadata, relationships, organization-specific terminology, and reusable corrections, while preserving provenance and source-system permissions.
Design discovery, search, and recommendation systems that help agents find relevant tools and context and help users and organizations choose integrations that fit their work.
Build the marketplace and activation experience end to end, from browsing and recommendations to installation, configuration, admin enablement, and ongoing adoption.
Make connector execution reliable and observable, with structured results, retries, idempotency, pagination, rate-limit handling, and recovery from partial failures. Own reliability targets, production monitoring, and incident response.
Implement connector authentication, credential isolation, and permission enforcement, partnering with Trust & Governance, Security, and Backend Platform on shared policies and tenant boundaries.
Build the onboarding and publishing path for internal teams and external partners, including schemas, test fixtures, validation, review, and versioning.
4+ years of software engineering experience, with a track record of owning complex backend systems from design through production operation.
Strong system design skills, including building reliable, scalable platforms that integrate heterogeneous APIs and services with clear security and isolation boundaries.
Strong proficiency in a backend language such as Python, Go, or Rust, and hands-on experience with cloud infrastructure such as AWS and Kubernetes.
Deep expertise in at least one of the following:
Connector runtimes, API platforms, or MCP servers, including authentication and authorization.
Schema design, semantic modeling, or knowledge systems that capture relationships and organizational context.
Search, ranking, recommendation, or tool discovery systems.
Marketplaces, developer platforms, or enterprise onboarding and activation experiences.
Ability to work across backend infrastructure and customer-facing product experiences, translating complex integration requirements into clear APIs, developer tools, and intuitive workflows.
Sound technical judgment in security-sensitive, distributed systems, balancing credential isolation, permission correctness, and failure behavior with performance, usability, and delivery speed.
A track record of leading ambiguous, cross-team initiatives from architecture through adoption, setting technical direction for shared platforms, and raising engineering quality through mentorship.
If you're excited about this role, we encourage you to apply even if you don't meet every qualification. We value demonstrated impact, deep ownership, and the initiative to turn ambiguity into results.
","descriptionPlain":"ABOUT THE ROLE\n\nThe Enterprise Knowledge Platform team builds the data and action layer that connects Perplexity's agents to the systems where enterprise work happens. Useful agents need more than access to APIs: they need to discover the right tools, understand an organization's data and terminology, and act reliably within its permissions. This team brings native connectors, MCP servers, and CLI-backed tools into a consistent platform, and builds the marketplace through which customers adopt integrations and partners extend the ecosystem.\n\n\n\nThis is a product and platform engineering role with end-to-end ownership, from designing connector infrastructure and semantic models to shipping the experiences customers use to discover, connect, and activate integrations. You'll build the runtime that executes tool calls, the knowledge layer that makes enterprise context reusable across connectors, and the developer and marketplace foundations that help the ecosystem grow. Working with AI Research and Enterprise teams, you'll turn fragmented systems into reliable, permission-aware capabilities that agents can use to complete real work. The impact is direct: every improvement helps customers put their existing software and knowledge to work through Perplexity.\n\n\n\n\nKEY RESPONSIBILITIES\n\n - Own the connector runtime that registers, hosts, and executes native connectors, hosted MCP servers, and CLI-backed tools through a consistent agent-facing interface.\n\n - Build the semantic and knowledge layer, including tool and entity schemas, capability metadata, relationships, organization-specific terminology, and reusable corrections, while preserving provenance and source-system permissions.\n\n - Design discovery, search, and recommendation systems that help agents find relevant tools and context and help users and organizations choose integrations that fit their work.\n\n - Build the marketplace and activation experience end to end, from browsing and recommendations to installation, configuration, admin enablement, and ongoing adoption.\n\n - Make connector execution reliable and observable, with structured results, retries, idempotency, pagination, rate-limit handling, and recovery from partial failures. Own reliability targets, production monitoring, and incident response.\n\n - Implement connector authentication, credential isolation, and permission enforcement, partnering with Trust & Governance, Security, and Backend Platform on shared policies and tenant boundaries.\n\n - Build the onboarding and publishing path for internal teams and external partners, including schemas, test fixtures, validation, review, and versioning.\n\n\n\n\nQUALIFICATIONS\n\n - 4+ years of software engineering experience, with a track record of owning complex backend systems from design through production operation.\n\n - Strong system design skills, including building reliable, scalable platforms that integrate heterogeneous APIs and services with clear security and isolation boundaries.\n\n - Strong proficiency in a backend language such as Python, Go, or Rust, and hands-on experience with cloud infrastructure such as AWS and Kubernetes.\n\n - Deep expertise in at least one of the following:\n \n - Connector runtimes, API platforms, or MCP servers, including authentication and authorization.\n \n - Schema design, semantic modeling, or knowledge systems that capture relationships and organizational context.\n \n - Search, ranking, recommendation, or tool discovery systems.\n \n - Marketplaces, developer platforms, or enterprise onboarding and activation experiences.\n\n - Ability to work across backend infrastructure and customer-facing product experiences, translating complex integration requirements into clear APIs, developer tools, and intuitive workflows.\n\n - Sound technical judgment in security-sensitive, distributed systems, balancing credential isolation, permission correctness, and failure behavior with performance, usability, and delivery speed.\n\n - A track record of leading ambiguous, cross-team initiatives from architecture through adoption, setting technical direction for shared platforms, and raising engineering quality through mentorship.\n\n\n\nIf you're excited about this role, we encourage you to apply even if you don't meet every qualification. We value demonstrated impact, deep ownership, and the initiative to turn ambiguity into results."},{"id":"a5b97109-222d-49e1-b2ac-e101487a5ddd","title":"Business Development Representative","department":"Sales","team":"Sales","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[{"location":"New York City","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York City"}}}],"publishedAt":"2026-01-22T00:32:30.985+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/perplexity/a5b97109-222d-49e1-b2ac-e101487a5ddd","applyUrl":"https://jobs.ashbyhq.com/perplexity/a5b97109-222d-49e1-b2ac-e101487a5ddd/application","descriptionHtml":"Drive Revenue & Qualify Opportunities
Balance dual inbound and outbound responsibilities to drive pipeline growth
Qualify inbound enterprise prospects using BANT criteria to identify high-value opportunities for Account Executive handoff
Execute targeted outbound campaigns to penetrate specific industry verticals
Strategic Outbound & Market Development
Use social selling to represent the Perplexity brand—posting, commenting, and experimenting with new formats to stay top-of-mind with prospects
Research and map accounts within assigned verticals to build comprehensive prospect lists
Develop vertical-specific messaging that resonates with industry pain points and use cases for Perplexity Enterprise
Contribute to top of funnel strategy
Sales Operations & Excellence
Maintain pristine data hygiene in Salesforce, ensuring all prospect interactions and qualification criteria are documented
Respond rapidly to inbound inquiries with consultative, value-driven communication
Build and iterate on outbound sequences that drive consistent pipeline generation
What You'll Need
Core competencies
Exceptional communication skills: Ability to articulate complex AI/search solutions clearly via email and phone, adapting tone and technical depth to various stakeholders
Vertical expertise: Demonstrated understanding of at least one key industry (e.g., Financial Services, Healthcare, Legal, Consulting) with ability to speak to industry-specific challenges
Sales acumen: Proven ability to qualify prospects using BANT methodology while maintaining velocity in the sales cycle
Technical aptitude: Comfort discussing enterprise software, APIs, and AI capabilities at a high level
Self-starter mentality with ability to manage competing priorities (closing deals vs. qualifying for AEs)
Data-driven approach to tracking conversion rates, response times, and pipeline metrics
Intellectual curiosity about how AI and advanced search transform enterprise workflows
Ability to thrive in a fast-paced environment where processes are still being defined
Nice to Haves
9 months to two years in SaaS sales development or business development roles
Experience selling to technical and non-technical buyers
Familiarity with enterprise AI/ML solutions or search technologies
Track record of consistently achieving 100%+ of quota
Pulling data with Salesforce Reporting, SQL or Business intelligence tools
Bachelor's degree or equivalent practical experience
Experience at a high-growth technology startup
Perplexity is looking for an experienced analyst to help us build and improve our core search technologies. You'll work at the intersection of data analysis and engineering - designing metrics, building data pipelines, and improving the quality of our search and answer systems.
This role is hybrid in Belgrade, London or Berlin.
Responsibilities
Find and diagnose quality issues in our search pipeline
Design metrics from scratch to track and measure search quality
Build datasets for model training, including LLM-as-a-judge labeling pipelines
Improve search snippet quality and page selection algorithms for indexing
Design and analyze A/B experiments to validate improvements
Qualifications
4+ years of experience as a data analyst or in a related role
Strong coding skills — expected to write production-grade code at a mid-level backend engineer level
Proficiency with SQL and Python
Demonstrated hands-on experience with at least one of the following:
Designing metrics from scratch (not just analyzing existing A/B experiments)
Building labeling pipelines using LLM-as-a-judge
Training ML models that shipped to production with measurable metric improvements
Designing evals with known ground truth (e.g. SimpleQA, BrowseComp) or driving meaningful improvements on such evals
Nice to have
Experience working on search-related products
Knowledge of statistics and A/B experiment design
Experience with Apache Spark or Databricks
Perplexity serves tens of millions of users daily with reliable, high-quality answers grounded in an LLM-first search engine and specialized data sources. The Answer Quality team ensures that our prompts, tools, search systems, datasets, and models work together to create the best possible experience for our users.
As our product and agent capabilities evolve, we need evaluation systems that are fast, reliable, production-faithful, and actionable. In this role, you will build and improve the technical foundations that support Answer Quality across Perplexity. This includes our shared evaluation infrastructure and the platform used to replay and analyze agent traces. You will work closely with data scientists, engineers, and product teams to identify quality problems, measure their impact, and turn evaluation findings into product improvements.
Build shared evaluation infrastructure that helps teams run reliable evals, analyze results, and make product and model decisions
Develop the platform for replaying and analyzing agent traces to reproduce production behavior and diagnose failures
Build and operate scalable systems for processing, storing, and monitoring interaction, trace, and evaluation data
Partner with data scientists, engineers, and product teams to turn answer-quality problems into evaluations, analyses, and product improvements
Operate in a small, high-impact team where your work directly shapes how Perplexity measures and improves Answer Quality
4+ years of software, data, or machine learning engineering experience shipping and operating production systems
Strong proficiency in Python and SQL, with solid fundamentals in system design, data modeling, and distributed systems
Experience building big-data systems, including distributed compute, large-scale storage, and high-volume pipelines
Demonstrated ownership of ambiguous technical projects from initial design through production operation
Ability to work effectively with data scientists, engineers, and product partners
Experience building evaluation, experimentation, observability, or machine learning infrastructure
Familiarity with LLM and agent systems, including tool use, execution traces, replay, and simulation
Experience building on top of large-scale data processing platforms such as Databricks, Snowflake, or ClickHouse
Perplexity is AI for people who expect more. This role brings that standard to how we understand our users, shape our product, and decide what to build next.
We're looking for a data scientist who can turn product questions into clear decisions. You'll work across product, engineering, growth, design, and user research to understand user behavior, define metrics, design experiments, and identify the highest-leverage opportunities for the company.
The data team is AI-native by default. We use AI to accelerate analysis, write and review code, explore hypotheses, document data, generate first drafts, and automate recurring workflows. But the core of the role is still judgment: asking the right question, choosing the right metric, designing the right test, and knowing when the answer is strong enough to act on.
Develop product insights - analyze user behavior to inform product roadmap, accelerate adoption, and identify opportunities to improve the user experience.
Design and analyze experiments - form hypotheses, define success metrics, run A/B tests, interpret results, and turn findings into product recommendations.
Define the metrics that matter - build the metrics, guardrails, dashboards, and reporting workflows that help teams understand product and company health.
Partner across functions - work closely with engineering, product, growth, design, and user research to answer ambiguous questions and drive decisions.
Build reusable data assets - create tables, models, and documentation that make analysis faster, more consistent, and easier for humans and AI systems to use.
Use AI to scale data science - automate recurring analysis, build AI-assisted workflows, improve documentation, and turn one-off investigations into repeatable systems.
Tell the story clearly - communicate findings, assumptions, uncertainty, and recommendations in a way that helps teams make decisions.
6+ years of experience as a data scientist or closely related role.
Strong product sense - you understand user behavior, product tradeoffs, and how to connect analysis to decisions.
SQL expertise - you can navigate a complex data warehouse on your own, reason about grain and joins, and debug data issues when something looks wrong.
Experimentation depth - you have significant experience designing, running, and analyzing A/B tests.
AI-native working style - you use LLMs and AI tools to move faster without outsourcing analytical judgment.
Metrics and dashboard experience - you've built useful reporting in tools such as Omni, Mode, Hex, Looker, or similar, and know how to turn metrics into better product decisions.
Comfort with ambiguity - you can take an open-ended question, structure it, execute the analysis, and make a clear recommendation.
End-to-end ownership - you take responsibility for the work from problem definition to stakeholder adoption.
Experience with dbt, data modeling, or analytics engineering.
Python experience for analysis, automation, or internal tools.
Experience with Snowflake, especially performance and cost-aware querying.
Experience combining qualitative user research with quantitative product analysis.
Experience as one of the first data scientists at an early or growth-stage company.
ML experience or experience working across multiple product surfaces.
Define data science at Perplexity - you'll help set the bar for how an AI-native data science team operates.
Work on questions with no playbook - AI-native products are too new for established benchmarks. What engagement, retention, and user success look like for AI products that answer questions and get real work done is still an open question, and you'll help define it.
Use AI where it actually matters - you'll use frontier tools to make analysis faster, more repeatable, and more useful.
Direct impact - small team, high ownership, and work that shapes product and company direction.
Perplexity is seeking a highly motivated and skilled Demand Generation Lead to join our GTM team. This is a high-impact, high-autonomy role. You’ll own Perplexity’s demand generation engine for our enterprise and business products, partnering closely with Sales, Product Marketing, and Revenue Operations to accelerate pipeline and revenue growth.
If you’re the kind of marketer who builds their own tools, automates ruthlessly, and treats every campaign as an experiment—this role was written for you.
RESPONSIBILITES
Own Perplexity’s end-to-end demand generation strategy with direct accountability for enterprise top of funnel growth and downstream conversion to revenue.
Architect and operate a modern demand engine using AI-native tooling—programmatic outbound, AI-personalized sequences, intent-based targeting, and automated workflows—that generates qualified pipeline at scale. We don’t buy, we build.
Design and execute multi-channel campaigns across paid, organic, ABM, events, partnerships, and emerging channels, continuously testing new motions, killing what doesn’t work, and doubling down on incremental impact.
Develop segmentation and targeting strategies for priority enterprise buyer personas, including IT leaders, executives, developers, and AI decision-makers.
Partner with Product Marketing, Sales, and Revenue Operations to own and continuously improve the marketing-to-sales funnel.
WHAT WE’RE LOOKING FOR:
5+ years building and scaling multiple growth channels at a fast paced startup with a proven track record of revenue growth
Experience and deep interest in building homegrown AI-driven outbound engines, programmatic personalization, and rapid experimentation platforms to scale yourself.
Analytically rigorous: You are deeply data-driven, comfortable in SQL, attribution measurement, and BI tools like Looker, Omni, Hex, and Tableau. You build your own dashboards, define your own metrics, and make decisions based on evidence, not intuition.
Thrives in ambiguity: You operate independently with urgency and ownership in fast-paced, early-stage environments where processes are still being defined.
At Perplexity, we're changing how the world finds answers. In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people now use Perplexity to transform knowledge into action, and behind all of that sits the technology infrastructure that keeps a fast-moving company running.
We're looking for an IT Systems Administrator who wants to do more than keep the lights on. This is an early, high-impact role where you'll build the systems and automations that let our team move even faster. You won't just respond to tickets. You'll figure out how to make them disappear. We give our IT team the same AI tools we build for everyone else, and we expect you to use them.
This role is based in-person at our San Francisco office.
Use Perplexity's own Computer product to build AI automations, custom skills, and IT workflows that take repetitive work off your plate.
Work and tune agentic IT ticketing, including ticket analysis, creation of KPIs and building of workflows that resolve common requests automatically.
Automate the management of users and devices so IT is as hands-off as possible.
Enable Self Service and help other departments automate their processes as well.
Manage and optimize corporate software systems.
Improve our Mobile Device Management (MDM) setup and create a very polished Onboarding experience.
Roll out and enforce strong security policies.
Lead IT projects across endpoint management, IAM and the IT backendTrain and support staff on IT systems, in person and remotely.
7+ years of hands-on IT systems administration experience.
Strong skills in macOS and Google Workspace.
Hands-on expertise administering and automating Okta, including securing access with strong auth policies and end‑to‑end user lifecycle automation using Okta Workflows; scripting experience with Bash or Python is highly preferred.
Sharp troubleshooting instincts across MDM, Okta and common SaaS applications.
A solid grasp of cybersecurity fundamentals, including IAM, RBAC, least privilege and encryption.
Experience managing a ticketing system, including ITIL Problem Management and creating and monitoring of SLAs.
A track record of leading IT projects from upgrade to rollout with minimum supervision.
Clear communication and a genuine interest in automating away busywork.
Perplexity is seeking a DevOps engineer to join our small team in revolutionizing the way people search and interact with the internet. You will be responsible for leading the design, implementation, and scaling of the infrastructure, tooling and systems that support our Search feature.
The ideal candidate should have experience in designing highly scalable infrastructure, building systems, tools and performing testing, monitoring, and maintenance. Our backend stack includes Python, Go, Rust, PostgreSQL, DynamoDB, Redis, and Kubernetes - built alongside dedicated in-house AI and search interfaces.
Responsibilities:
Design and implement highly available, high-performance, and scalable systems.
Design and implement various tools for other engineers helping them with their day to day job.
Design and implement CI/CD and other workflows to enhance stability, robustness and speed of iteration.
Maintain and optimize key-value and relational databases.
Scale and load balance web server backends to meet rapidly changing needs.
Monitor systems and applications, proactively identifying and resolving reliability, scalability, or performance issues.
Develop monitoring tools, alerts, and dashboards to provide visibility into system health and performance.
Qualifications:
Strong experience with cloud infrastructure built on AWS.
Proficient in database management and caching strategies.
Excellent problem-solving and troubleshooting skills, with the ability to analyze, debug, and resolve complex technical issues.
Experience working with containers (Docker, Kubernetes) and orchestration tools.
Excellent communication and collaboration skills.
Experience with Python and Terraform.
3+ years of DevOps/SRE/System Administration experience.
Perplexity is seeking a highly skilled, experienced and hands-on Offensive Security Engineer to join our dynamic security team, taking an adversarial approach to hardening Perplexity's infrastructure, applications, and AI systems. You'll plan and execute red team operations, penetration tests, and attack simulations across our cloud infrastructure, web and mobile applications, AI/ML pipeline, and corporate environment—finding real vulnerabilities before adversaries do and working directly with engineering teams to drive remediation.
Responsibilities
Plan and execute red team and purple team engagements simulating advanced threat actors across cloud infrastructure (AWS, Kubernetes), endpoints, and application surfaces
Conduct continuous penetration testing of web applications, APIs, mobile clients, browser extensions, cloud infrastructure, and internal services
Assess AI/ML-specific attack surfaces including prompt injection, model exfiltration, agent abuse, tool-use exploitation, and MCP security boundaries
Develop and maintain custom offensive tooling, exploits, and automation to improve the efficiency and coverage of security testing
Perform open-scope adversary simulations that test detection and response capabilities end to end, collaborating closely with the defensive security team
Drive threat modeling sessions with engineering teams to identify and prioritize attack vectors in new features and architectures
Deliver clear, actionable findings to both technical and executive audiences; partner with engineering to validate remediations
Contribute to the security of CI/CD pipelines, supply chain integrity, and secrets management through offensive assessment
Stay current on emerging attack techniques, vulnerability research, and adversary tradecraft; bring external perspective into Perplexity's security strategy
Qualifications
5+ years of hands-on experience in offensive security, red teaming, or penetration testing
Deep technical expertise in at least two of: cloud security (AWS/GCP/Azure), web/API application security, Kubernetes and container security, macOS/Linux endpoint security, network penetration testing, or CI/CD pipeline security
Track record of discovering impactful vulnerabilities or developing novel attack techniques in production environments
Strong programming and scripting skills in Python, Go, or similar languages; comfortable writing custom tooling and exploits
Experience with industry-standard offensive tools (Burp Suite, Cobalt Strike / Sliver / Mythic, Metasploit, BloodHound, nuclei, etc.) and ability to operate beyond them
Excellent written and verbal communication; able to translate complex technical findings into clear risk narratives
Experience assessing AI/ML systems, LLM applications, or agentic workflows for security vulnerabilities
Bonus: Published security research, conference talks (DEF CON, Black Hat, BSides), CVE credits, or meaningful bug bounty contributions
Perplexity is seeking an experienced Machine Learning Research Engineer to help build the next generation of advanced search technologies, with a focus on retrieval and ranking.
Responsibilities
Relentlessly push search quality forward — through models, data, tools, or any other leverage available
Architect and build core components of the search platform and model stack
Design, train, and optimize large-scale deep learning models using frameworks like PyTorch, leveraging distributed training (e.g., PyTorch Distributed, DeepSpeed, FSDP) and hardware acceleration, with a focus on retrieval and ranking models
Conduct advanced research in representation learning, including contrastive learning, multilingual, and multimodal modeling for search and retrieval
Deploy models — from boosting algorithms to LLMs — in a scalable and performant way
Build and optimize RAG pipelines for grounding and answer generation
Collaborate with Data, AI, Infrastructure, and Product teams to ensure fast and high-quality delivery
Qualifications
Deep understanding of search and retrieval systems, including quality evaluation principles and metrics
Proven track record with large-scale search or recommender systems
Strong proficiency with PyTorch, including experience in distributed training techniques and performance optimization for large models
Expertise in representation learning, including contrastive learning and embedding space alignment for multilingual and multimodal applications
Strong publication record in AI/ML conferences or workshops (e.g., NeurIPS, ICML, ICLR, ACL, CVPR, SIGIR)
Self-driven, with a strong sense of ownership and execution
Minimum of 3 years (preferably 5+) working on search, recommender systems, or closely related research areas
We are looking for an AI Infra engineer to join our growing team. We work with Kubernetes, Slurm, Python, C++, PyTorch, and primarily on AWS. As an AI Infrastructure Engineer, you will be partnering closely with our Inference and Research teams to build, deploy, and optimize our large-scale AI training and inference clusters.
Design, deploy, and maintain scalable Kubernetes clusters for AI model inference and training workloads
Manage and optimize Slurm-based HPC environments for distributed training of large language models
Develop robust APIs and orchestration systems for both training pipelines and inference services
Implement resource scheduling and job management systems across heterogeneous compute environments
Benchmark system performance, diagnose bottlenecks, and implement improvements across both training and inference infrastructure
Build monitoring, alerting, and observability solutions tailored to ML workloads running on Kubernetes and Slurm
Respond swiftly to system outages and collaborate across teams to maintain high uptime for critical training runs and inference services
Optimize cluster utilization and implement autoscaling strategies for dynamic workload demands
Strong expertise in Kubernetes administration, including custom resource definitions, operators, and cluster management
Hands-on experience with Slurm workload management, including job scheduling, resource allocation, and cluster optimization
Experience with deploying and managing distributed training systems at scale
Deep understanding of container orchestration and distributed systems architecture
High level familiarity with LLM architecture and training processes (Multi-Head Attention, Multi/Grouped-Query, distributed training strategies)
Experience managing GPU clusters and optimizing compute resource utilization
Expert-level Kubernetes administration and YAML configuration management
Proficiency with Slurm job scheduling, resource management, and cluster configuration
Python and C++ programming with focus on systems and infrastructure automation
Hands-on experience with ML frameworks such as PyTorch in distributed training contexts
Strong understanding of networking, storage, and compute resource management for ML workloads
Experience developing APIs and managing distributed systems for both batch and real-time workloads
Solid debugging and monitoring skills with expertise in observability tools for containerized environments
Experience with Kubernetes operators and custom controllers for ML workloads
Advanced Slurm administration including multi-cluster federation and advanced scheduling policies
Familiarity with GPU cluster management and CUDA optimization
Experience with other ML frameworks like TensorFlow or distributed training libraries
Background in HPC environments, parallel computing, and high-performance networking
Knowledge of infrastructure as code (Terraform, Ansible) and GitOps practices
Experience with container registries, image optimization, and multi-stage builds for ML workloads
Demonstrated experience managing large-scale Kubernetes deployments in production environments
Proven track record with Slurm cluster administration and HPC workload management
Previous roles in SRE, DevOps, or Platform Engineering with focus on ML infrastructure
Experience supporting both long-running training jobs and high-availability inference services
Ideally, 3-5 years of relevant experience in ML systems deployment with specific focus on cluster orchestration and resource management
Great products grow when people experience their value firsthand. We are looking for a Field Marketing Manager to design and scale programs that turn in-person engagement into enterprise pipeline. You will manage a full range of third-party sponsorships and Perplexity-led field events that drive awareness, deepen relationships with senior buyers, and accelerate opportunities.
You will join a small field marketing team as an equal partner, working together to divide the portfolio based on company priorities, capacity, geography, and each person's strengths. This is a hands-on role for someone who can set the strategy and execute every detail. You will work closely with Sales, Product Marketing, Growth, Partnerships, and Customer Success to identify the right audiences, build programs around their needs, and turn each event into measurable business impact.
The ideal candidate is a field marketing generalist who is equally comfortable evaluating a sponsorship, building a regional plan, hosting an executive dinner, working a conference floor, and analyzing pipeline conversion afterward. You may bring deeper experience in sponsored events or owned programs, but you should be ready to operate across both.
Co-own the field marketing strategy. Work as an equal partner on a two-person field marketing team to build the portfolio around company priorities, target accounts, sales territories, product launches, and pipeline goals. Divide and conquer across programs while maintaining shared standards, visibility, and accountability.
Turn field engagement into pipeline. Design every program around a clear audience, business objective, conversion path, and follow-up plan, from pre-event outreach through opportunity creation and deal acceleration.
Own third-party event sponsorships. Evaluate conferences and sponsorship opportunities, recommend where Perplexity should invest, negotiate and activate packages, coordinate speakers and on-site presence, and build the pre-event and post-event motion required to produce a return.
Run high-impact Perplexity events. Own executive dinners, vertical roundtables, regional roadshows, customer workshops, and hackathons that build pipeline and deepen relationships with senior buyers.
Align tightly with Sales. Partner with Account Executives, SDRs, and Sales leadership on target-account lists, meeting goals, outreach, on-site roles, hand-raiser routing, and post-event follow-up.
Represent Perplexity in the market. Lead on-site execution across conferences and owned events, including messaging, booth or venue experience, executive participation, customer meetings, and post-event conversion.
Build integrated campaigns around field moments. Work with Product Marketing, Growth, Lifecycle, Social, Comms, and Partnerships to extend events through targeted outreach, content, digital programs, and sales activation before and after each moment.
Own execution end to end. Manage agencies, vendors, venues, budgets, timelines, run-of-show, staffing, production, and contingency planning while maintaining a high bar for attendee experience.
Measure outcomes, not activity. Instrument the path from invited account through registration, attendance, meeting, opportunity, and revenue. Track cost per attendee, meetings held, target-account engagement, sourced and influenced pipeline, deal acceleration, and program ROI.
Build the field operating system. Create the planning cadence, intake process, event tiers, checklists, reporting, and retros required to scale the program and make investment decisions based on results.
5+ years of experience in field marketing and event marketing, ideally in B2B SaaS or enterprise technology.
Proven track record building and scaling a portfolio that includes third-party sponsorships, conferences, and company-led field programs, with measurable pipeline or deal-acceleration results.
A versatile, hands-on operator who can move between strategy, sponsorship evaluation, campaign planning, event production, executive management, on-site execution, and performance analysis.
Deep expertise in either third-party sponsorships or company-led field events is welcome, provided you have the range and interest to operate across both.
Strong event planning and execution skills, with experience managing both intimate executive programs and larger conferences, roadshows, or customer events.
Collaborative and low-ego, with experience working alongside a peer to divide a large portfolio, make tradeoffs, share context, and step into each other's programs when needed.
Excellent relationship builder who can engage senior executives, customers, prospects, Sales teams, vendors, and cross-functional partners with equal ease.
Strong written and verbal communication skills, with the ability to craft compelling event narratives, executive briefs, and field campaign plans.
Analytically rigorous, with experience setting targets, managing budgets, working with CRM data, and reporting sourced and influenced pipeline.
Highly organized, resourceful, and calm under pressure, with the judgment to solve problems quickly when plans change on site.
Willingness to travel frequently for event management and field activations.
Perplexity is changing how enterprises adopt AI. We're seeking a Solutions Product Marketer to own GTM strategy for our highest-priority verticals, Finance, Healthcare, Legal, and Consulting. You'll go deep on buying motions, use cases, and competitive dynamics, translating insight into campaigns, content, and sales enablement that systematically win each industry. This role sits at the intersection of marketing, sales strategy, and product.
You will:
Own vertical GTM as a system, not one-off campaigns
Map how enterprise buyers in each vertical evaluate, purchase, and deploy AI, personas, decision processes, and competitive alternatives
Build and run vertical awareness campaigns across paid, organic, and owned channels, including webinars, landing pages, and industry-specific creative
Arm enterprise sales with battle cards, objection handling, persona-specific talk tracks, and deal-stage content that moves revenue
Develop opinionated thought leadership positioning Perplexity as the authority on AI adoption in each vertical
Instrument and measure vertical performance: pipeline sourced, conversion rates, engagement iterating weekly based on data
Qualifications:
8+ years of product marketing experience, B2B preferred
Proven track record building and executing vertical or industry-specific GTM strategies that drove measurable pipeline
Deep understanding of enterprise buying motions, comfortable with long sales cycles, multi-stakeholder deals, and C-suite messaging
Exceptional storytelling and writing skills, able to distill complex capabilities into simple, compelling narratives across decks, one-pagers, videos, and ROI models
Advanced proficiency using AI tools to drive marketing outcomes
Collaborative, low-ego operator who thrives in fast-paced, small-team environments and owns the full stack of work
Perplexity is looking for a Search Machine Learning Engineer Intern to help build the next generation of advanced search technologies, with a focus on retrieval and ranking. You will work closely with experienced engineers to improve search quality, experiment with new models, and ship features that directly impact how users search and discover information.
Internship program: 12 - 24 weeks, full-time, in-person in the London office.
Responsibilities:
Contribute to experiments that improve search quality through better models, data usage, and evaluation tools, under the guidance of senior engineers.
Design and implement components of the search platform and model stack, including retrieval, ranking, and classification models.
Train evaluating models (including LLM-based approaches) for retrieval, ranking, and classification tasks.
Support deployment and monitoring of search and ranking models in a scalable and performant way.
Help build and iterate on RAG pipelines for grounding and answer generation.
Collaborate with Data, AI, Infrastructure and Product teams to deliver improvements quickly and learn best practices in production ML.
Qualifications:
Strong foundation in machine learning and statistics, with coursework or projects related to information retrieval, ranking, or recommender systems.
Experience with Python and common ML frameworks (e.g. PyTorch, TensorFlow, JAX) through academic, open source, or personal projects.
Familiarity with evaluating model quality using offline metrics and/or A/B testing is a plus, but not required.
Previous experience (internships, research, or significant projects) working on search, recommendation, or NLP is a plus, but not required.
Self-driven and curious, with a strong sense of ownership, willingness to learn, and comfort working in a fast-paced environment
Experience with Rust will be a plus
In 2026, we launched Computer, the defining product for the new era of agentic AI. We’ve scaled beyond the millions of people using Perplexity every day for research, shopping, investing and curiosity into a new paradigm of using AI to transform knowledge into action.
Product managers at Perplexity work closely with design and engineering, focusing on the core Computer and search experience. The ideal candidate should have strong communication and writing skills, the ability to envision innovative technology, and willingness to reimagine work to be more efficient and creative. Ideal candidates have a passion in a particular industry that they are domain experts in: in the application please highlight which industry you are most interested in innovating.
Anticipate opportunities for innovation and value in enterprise industries.
Envision new experiences and deliver a long-term vision.
Understanding of levers for product-led growth and retention.
Work closely with engineering and design to align product expectations and capabilities.
Work with research to evaluate and steer nondeterministic models into the high value outcomes for users.
Work with data and user research to understand quantitative and qualitative data.
Have conviction to make difficult product decisions in the face of uncertainty.
Strong experience with product management and leadership.
Strong experience working with data and metrics.
Experience with productivity and knowledge work products.
Experience with prototyping and data visualization.
Experience with building data driven flywheels for iterative improvement.
Thrives in a small, agile team: has initiative and desire for ownership.
4+ years of product management experience.
Perplexity’s mission is to power curiosity. Curious people are the people who drive change in the world. Driving change is a continuous cycle of learning, building, and integrating.
Learn: curious people constantly learn new things by asking more. They question the status quo in their own expertise and they constantly learn outside of it. Research is essential to them and never ending.
Build: curious people make and create things, to show the world their new answers to problems no one else ever questioned. They take action on what they’ve learned. Makers need tools to create their products, their companies, their reality.
Integrate: they must interact with the world as it is to drive change and adoption. True leaders do not simply build something and hope. They must have armies of agents and workers who can constantly work in millions of small ways.
Repeat. For curious people this is a cycle that never ends.
","descriptionPlain":"PERPLEXITY IS LOOKING FOR PRODUCT MANAGERS TO JOIN A HIGHLY LEVERAGED, SMALL TEAM FOR BUILDING NEW PRODUCTS THAT INNOVATE TO ACCELERATE HUMAN PRODUCTIVITY.\n\n\n\nIn 2026, we launched Computer, the defining product for the new era of agentic AI. We’ve scaled beyond the millions of people using Perplexity every day for research, shopping, investing and curiosity into a new paradigm of using AI to transform knowledge into action.\n\nProduct managers at Perplexity work closely with design and engineering, focusing on the core Computer and search experience. The ideal candidate should have strong communication and writing skills, the ability to envision innovative technology, and willingness to reimagine work to be more efficient and creative. Ideal candidates have a passion in a particular industry that they are domain experts in: in the application please highlight which industry you are most interested in innovating.\n\n\n\n\nWHAT YOU'LL DO\n\n - Anticipate opportunities for innovation and value in enterprise industries.\n\n - Envision new experiences and deliver a long-term vision.\n\n - Understanding of levers for product-led growth and retention.\n\n - Work closely with engineering and design to align product expectations and capabilities.\n\n - Work with research to evaluate and steer nondeterministic models into the high value outcomes for users.\n\n - Work with data and user research to understand quantitative and qualitative data.\n\n - Have conviction to make difficult product decisions in the face of uncertainty.\n\n\nQUALIFICATIONS\n\n - Strong experience with product management and leadership.\n\n - Strong experience working with data and metrics.\n\n - Experience with productivity and knowledge work products.\n\n - Experience with prototyping and data visualization.\n\n - Experience with building data driven flywheels for iterative improvement.\n\n - Thrives in a small, agile team: has initiative and desire for ownership.\n\n - 4+ years of product management experience.\n\n\nOUR MISSION\n\nPerplexity’s mission is to power curiosity. Curious people are the people who drive change in the world. Driving change is a continuous cycle of learning, building, and integrating.\n\nLearn: curious people constantly learn new things by asking more. They question the status quo in their own expertise and they constantly learn outside of it. Research is essential to them and never ending.\n\nBuild: curious people make and create things, to show the world their new answers to problems no one else ever questioned. They take action on what they’ve learned. Makers need tools to create their products, their companies, their reality.\n\nIntegrate: they must interact with the world as it is to drive change and adoption. True leaders do not simply build something and hope. They must have armies of agents and workers who can constantly work in millions of small ways.\n\n\n\nRepeat. For curious people this is a cycle that never ends."},{"id":"4c0ac8bb-55bf-4fb0-b7d7-36d69f55e6c8","title":"Member of Technical Staff (Software Engineer, Computer)","department":"AI Products","team":"AI Products","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[{"location":"Palo Alto","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Palo Alto"}}},{"location":"New York City","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York City"}}}],"publishedAt":"2026-04-22T23:15:33.628+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/perplexity/4c0ac8bb-55bf-4fb0-b7d7-36d69f55e6c8","applyUrl":"https://jobs.ashbyhq.com/perplexity/4c0ac8bb-55bf-4fb0-b7d7-36d69f55e6c8/application","descriptionHtml":"By applying to this role, you will be considered for engineering roles across all teams at Perplexity.
In 2026, we launched Computer, the defining product for the new era of agentic AI. We’ve scaled beyond the millions of people using Perplexity every day for research, shopping, investing and curiosity into a new paradigm of using AI to transform knowledge into action.
As an engineer at Perplexity, your role will be to build products and systems that define how AI empowers humans to think, decide and act. You’ll ship fast and work between product, infrastructure and frontier level advancements in technology.
Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious.
Ownership. You identify the problem, design the solution and ship it.
Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users.
Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products.
Partnership. We amplify each others’ strengths, break down silos, and give selflessly to help our colleagues deliver excellence.
Design, build, and own product and platform systems for Computer
Lead features, projects and products end-to-end, from problem definition to technical design, implementation, and launch.
Hill climb on hard problems, continuously iterating to improve for ourselves and customers.
Partner closely with engineers, product managers, designers, data scientists, and go-to-market teams.
Build systems that take into account the nuances of AI, working with agents, context, evaluation, personalization and the ground truth.
4+ years of professional software engineering experience.
Strong experience in at least one general-purpose programming language such as Python, Go, TypeScript, JavaScript, Kotlin, Swift, Rust, Java, or C++.
Experience building and operating production systems at a meaningful scale.
Strong product judgment and the ability to translate user problems into simple, effective technical solutions.
Genuine interest and adoption of AI products and willingness to learn quickly.
Experience with LLMs, agents, retrieval systems, personalization, or evaluation frameworks.
Time spent at a fast-growing startup or on a high-ownership engineering team.
Founded a company or initiative.
Perplexity’s mission is to power curiosity. Curious people are the people who drive change in the world. Driving change is a continuous cycle of learning, building, and integrating.
Learn: curious people constantly learn new things by asking more. They question the status quo in their own expertise and they constantly learn outside of it. Research is essential to them and never ending.
Build: curious people make and create things, to show the world their new answers to problems no one else ever questioned. They take action on what they’ve learned. Makers need tools to create their products, their companies, their reality.
Integrate: they must interact with the world as it is to drive change and adoption. True leaders do not simply build something and hope. They must have armies of agents and workers who can constantly work in millions of small ways.
Repeat. For curious people this is a cycle that never ends.
","descriptionPlain":"By applying to this role, you will be considered for engineering roles across all teams at Perplexity.\n\n\n\n\nWE ARE HIRING BUILDERS TO JOIN OUR HIGHLY LEVERAGED ENGINEERING TEAM FOR CREATING NEW PRODUCTS THAT INNOVATE AND ACCELERATE HUMAN PRODUCTIVITY\n\n\n\nIn 2026, we launched Computer, the defining product for the new era of agentic AI. We’ve scaled beyond the millions of people using Perplexity every day for research, shopping, investing and curiosity into a new paradigm of using AI to transform knowledge into action.\n\n\n\nAs an engineer at Perplexity, your role will be to build products and systems that define how AI empowers humans to think, decide and act. You’ll ship fast and work between product, infrastructure and frontier level advancements in technology.\n\n\n\n\nWHY PERPLEXITY IS DIFFERENT\n\n - Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious.\n\n - Ownership. You identify the problem, design the solution and ship it.\n\n - Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users.\n\n - Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products.\n\n - Partnership. We amplify each others’ strengths, break down silos, and give selflessly to help our colleagues deliver excellence.\n\n\nWHAT YOU'LL DO\n\n - Design, build, and own product and platform systems for Computer\n\n - Lead features, projects and products end-to-end, from problem definition to technical design, implementation, and launch.\n\n - Hill climb on hard problems, continuously iterating to improve for ourselves and customers.\n\n - Partner closely with engineers, product managers, designers, data scientists, and go-to-market teams.\n\n - Build systems that take into account the nuances of AI, working with agents, context, evaluation, personalization and the ground truth.\n\n\nQUALIFICATIONS\n\n - 4+ years of professional software engineering experience.\n\n - Strong experience in at least one general-purpose programming language such as Python, Go, TypeScript, JavaScript, Kotlin, Swift, Rust, Java, or C++.\n\n - Experience building and operating production systems at a meaningful scale.\n\n - Strong product judgment and the ability to translate user problems into simple, effective technical solutions.\n\n - Genuine interest and adoption of AI products and willingness to learn quickly.\n\n\nNICE TO HAVE\n\n - Experience with LLMs, agents, retrieval systems, personalization, or evaluation frameworks.\n\n - Time spent at a fast-growing startup or on a high-ownership engineering team.\n\n - Founded a company or initiative.\n \n\n\nOUR MISSION\n\nPerplexity’s mission is to power curiosity. Curious people are the people who drive change in the world. Driving change is a continuous cycle of learning, building, and integrating.\n\nLearn: curious people constantly learn new things by asking more. They question the status quo in their own expertise and they constantly learn outside of it. Research is essential to them and never ending.\n\n\n\nBuild: curious people make and create things, to show the world their new answers to problems no one else ever questioned. They take action on what they’ve learned. Makers need tools to create their products, their companies, their reality.\n\n\n\nIntegrate: they must interact with the world as it is to drive change and adoption. True leaders do not simply build something and hope. They must have armies of agents and workers who can constantly work in millions of small ways.\n\n\n\nRepeat. For curious people this is a cycle that never ends."},{"id":"acd466ba-536f-49da-968a-15b8c53298f8","title":"Enterprise Account Executive","department":"Sales","team":"Sales","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[{"location":"Austin","address":{"postalAddress":{"addressRegion":"Texas","addressCountry":"United States","addressLocality":"Austin"}}},{"location":"New York City","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York City"}}}],"publishedAt":"2026-05-13T20:31:16.810+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/perplexity/acd466ba-536f-49da-968a-15b8c53298f8","applyUrl":"https://jobs.ashbyhq.com/perplexity/acd466ba-536f-49da-968a-15b8c53298f8/application","descriptionHtml":"Perplexity is seeking a highly motivated and skilled Account Executive to join our small but mighty Enterprise team. In this role, you will be responsible for driving new business growth and fostering strong relationships with potential clients. This role is ideal for proactive sales professionals who thrive at the intersection of technology and business, and who want to shape the future of enterprise AI.
Responsibilities
Drive new business by prospecting, pitching, and closing Perplexity Enterprise Pro solutions with large organizations
Diligently research prospects, develop account strategies, and execute outreach campaigns tailored to company and industry needs
Conduct high-impact product demonstrations and respond to RFPs and technical inquiries
Lead client engagement through the entire sales cycle—from initial presentation, technical evaluation, negotiation, to closing and onboarding
Build and nurture senior-level relationships across enterprise clients, championing Perplexity’s value proposition and customer outcomes
Collaborate closely with Product, Marketing, and Customer Success to ensure customer satisfaction and solution fit
Maintain up-to-date knowledge of Perplexity’s platform, industry trends, and competitor landscape
Meet or exceed individual and team revenue targets on a monthly and quarterly basis
Maintain accurate records of pipeline and account activity using CRM tools
Qualifications
5+ years of full-cycle SaaS sales experience, ideally with enterprise-level clients
Proven record of meeting or exceeding annual revenue targets in a high-growth environment
Skilled at complex sales cycles, tailoring messaging to different buyer personas and decision makers
Proven success outbound prospecting to large enterprise
Exceptional written and verbal communication; comfortable presenting to C-suite executives
Adept at identifying client pain points and mapping solutions that drive business value
Ability to collaborate effectively with both cross-functional teams and technical stakeholders
Experience with CRM systems (e.g. Salesforce)
Bachelor’s degree or equivalent experience
Equity: In addition to the base salary, equity may be part of the total compensation package.
Benefits: Comprehensive health, dental, and vision insurance for you and your dependents. Includes a 401(k) plan.
","descriptionPlain":"Perplexity is seeking a highly motivated and skilled Account Executive to join our small but mighty Enterprise team. In this role, you will be responsible for driving new business growth and fostering strong relationships with potential clients. This role is ideal for proactive sales professionals who thrive at the intersection of technology and business, and who want to shape the future of enterprise AI.\n\nResponsibilities\n\n - Drive new business by prospecting, pitching, and closing Perplexity Enterprise Pro solutions with large organizations\n\n - Diligently research prospects, develop account strategies, and execute outreach campaigns tailored to company and industry needs\n\n - Conduct high-impact product demonstrations and respond to RFPs and technical inquiries\n\n - Lead client engagement through the entire sales cycle—from initial presentation, technical evaluation, negotiation, to closing and onboarding\n\n - Build and nurture senior-level relationships across enterprise clients, championing Perplexity’s value proposition and customer outcomes\n\n - Collaborate closely with Product, Marketing, and Customer Success to ensure customer satisfaction and solution fit\n\n - Maintain up-to-date knowledge of Perplexity’s platform, industry trends, and competitor landscape\n\n - Meet or exceed individual and team revenue targets on a monthly and quarterly basis\n\n - Maintain accurate records of pipeline and account activity using CRM tools\n\nQualifications\n\n - 5+ years of full-cycle SaaS sales experience, ideally with enterprise-level clients\n\n - Proven record of meeting or exceeding annual revenue targets in a high-growth environment\n\n - Skilled at complex sales cycles, tailoring messaging to different buyer personas and decision makers\n\n - Proven success outbound prospecting to large enterprise\n\n - Exceptional written and verbal communication; comfortable presenting to C-suite executives\n\n - Adept at identifying client pain points and mapping solutions that drive business value\n\n - Ability to collaborate effectively with both cross-functional teams and technical stakeholders\n\n - Experience with CRM systems (e.g. Salesforce)\n\n - Bachelor’s degree or equivalent experience\n\n \nEquity: In addition to the base salary, equity may be part of the total compensation package.\nBenefits: Comprehensive health, dental, and vision insurance for you and your dependents. Includes a 401(k) plan.\n\n "},{"id":"fdc2ea75-c198-4a9e-9c0a-df835ed61ed0","title":"Scaled Enterprise Customer Success Manager","department":"Customer Success & Support","team":"Customer Success & Support","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[{"location":"Austin","address":{"postalAddress":{"addressRegion":"Texas","addressCountry":"United States","addressLocality":"Austin"}}},{"location":"New York City","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York City"}}}],"publishedAt":"2026-05-16T00:19:04.959+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/perplexity/fdc2ea75-c198-4a9e-9c0a-df835ed61ed0","applyUrl":"https://jobs.ashbyhq.com/perplexity/fdc2ea75-c198-4a9e-9c0a-df835ed61ed0/application","descriptionHtml":"
Perplexity is looking for a Scaled Enterprise Customer Success Manager to join our Enterprise team. In this role, you'll be responsible for driving onboarding, adoption, retention, and expansion across a high-volume book of SMB and Mid-Market customers. The ideal candidate has a strong foundation in Customer Success or Account Management within a scaling technology company, with the ability to use data, repeatable programs, and sharp customer judgment to create impact across many accounts.
You will work closely with members of the Enterprise, Sales, Product, Support, and Marketing teams to help customers realize value from Perplexity at scale. This role requires strong communication, operational discipline, comfort with ambiguity, and a proactive \"can-do\" attitude. Your success will play a crucial role in expanding Perplexity's enterprise customer base, identifying conversion opportunities from self-serve customers, and helping build the next generation of scaled customer success motions.
Responsibilities
Execute the scaled Enterprise customer success strategy developed by leadership
Manage a high-volume portfolio of SMB and Mid-Market customers through a lower-touch, data-informed engagement model
Serve as a point of contact for customers across onboarding, adoption, value realization, renewal, and expansion moments
Drive initial enablement through repeatable onboarding programs, training sessions, office hours, webinars, and digital content
Monitor customer health, usage trends, and engagement signals to prioritize outreach and identify risks or growth opportunities
Identify self-serve customers with strong usage, business fit, or expansion potential and support conversion opportunities into Enterprise
Partner with Sales and Account Management to surface expansion, upgrade, and renewal opportunities across scaled accounts
Help customers quantify value delivered by Perplexity through usage insights, adoption milestones, and business outcomes
Advocate for customer needs and collaborate with cross-functional teams to improve product experience, enablement materials, support processes, and scaled CS playbooks
Track and report on key performance indicators, analyze data to identify trends, and recommend improvements to scaled engagement programs
Qualifications
3+ years of experience in Customer Success, Account Management, Sales, or related customer-facing roles at scaling technology companies
Experience supporting SMB, Mid-Market, or high-volume customer segments, ideally in a SaaS or AI/productivity tooling environment
Strong customer judgment with the ability to balance personalized engagement and scalable program execution
Proven ability to drive adoption, retention, and growth across a book of business
Excellent written and verbal communication skills, with the ability to clearly explain value to business and technical stakeholders
Comfortable using data to prioritize outreach, diagnose account health, identify product usage trends, and uncover expansion signals
A self-starter by nature, comfortable dealing with ambiguity and juggling multiple initiatives
Ability to work under pressure, thriving in demanding environments
Ability to work independently and as part of a collaborative team
Proficiency in CRM systems, customer success platforms, analytics tools, and customer engagement workflows
Perplexity is looking for a frontend engineer to build the design system behind every Perplexity product. It is the component library and design language shared across web, iOS, Android, macOS, and Windows – the primitives, tokens, and interaction patterns that every product team builds on top of.
Its users are internal, spanning product teams and a broad range of contributors across the company. The components you build become the foundation all of them rely on. You will develop component APIs that hold up across dozens of consuming surfaces and are easy for other teams to adopt correctly, contribute to the token pipeline that keeps five platforms visually consistent, and maintain a high bar for interaction quality and accessibility.
Tech Stack: React · TypeScript · CSS · Design Tokens
Design and build core primitives – overlays, inputs, navigation, feedback – with APIs that stay coherent as consumers multiply
Work across the design-token pipeline – authoring, generation, and per-platform publishing across web, iOS, Android, macOS, and Windows
Partner directly with design on the design language itself, translating Figma systems into typed, testable, documented components
Migrate product surfaces off bespoke implementations onto shared primitives without breaking them
Build accessible components by default – keyboard, focus, contrast, screen readers – backed by automated coverage
Support consuming teams through docs, visual regression coverage, and on-call rotation
4+ years building production frontend; experience with a design system, component library, or shared UI platform is a plus
Interest in building reusable components
Strong React and TypeScript, and CSS
Working accessibility knowledge (WCAG, ARIA patterns, assistive tech)
Comfort collaborating closely with designers on the visual and interaction language
We’re looking for a Senior Cinematographer to define how Perplexity looks on film. Working with the Creative Director and Video Lead, you’ll translate our visual identity into a practical cinematographic language, then bring it to life across the team’s day-to-day output.
This is a hands-on role. One day you’re shooting a candid office moment or executive interview with a small kit; the next, you’re leading a full camera and lighting crew on a brand film. Most of your time goes to prepping, testing, lighting, and shooting.
You’ll also help build and run our in-house studio, from selecting gear and designing flexible lighting setups to keeping the space production-ready. When turnaround is tight, you’ll support media management and light editing.
You’ll report to the Video Lead and work closely with the Video Producer, Brand Lead, designers, motion designers, Growth, Comms, Product Marketing, and external production partners. The Producer and Video Lead handle crewing, budgets, schedules, and logistics so you can stay focused on production and craft. However, you should think like a storyteller, not just a technician, bringing your own ideas for how to show our product and people more vividly through moodboards, shot lists, storyboards, and a willingness to experiment.
Partner with the Creative Director and Video Lead to define and evolve Perplexity’s cinematographic language, and turn it into repeatable approaches for lighting, lensing, composition, movement, and color.
Shoot and light a steady mix of day-to-day content: candid office moments, executive interviews, product demos, social, events, and documentary stories.
Lead cinematography on brand films, campaigns, partnerships, and launches.
Scale to the work: operate solo with a minimal kit, lead a small crew, or help build a full camera, lighting, grip, team (with help from producers).
Bring storytelling ideas to the table through moodboards, shot lists, storyboards, and experimentation.
Own camera, lighting, and movement decisions from creative development through capture: build packages, run tests and tech scouts, and solve constraints before the shoot.
Recommend crew and equipment for each production and lead the camera and lighting departments on set. Producers handle budgets, schedules, contracts, and logistics.
Help design, build, and run the in-house studio, including lighting, audio, grip, and monitoring.
Own the team’s gear: recommend, purchase, organize, and maintain it, with ready-to-shoot packages so no setup gets rebuilt from scratch.
Handle color grading in DaVinci Resolve, and support selects, stringouts, and light edits when turnaround is tight.
Keep the visual standard high across formats and crew sizes without overbuilding.
6+ years as a cinematographer or DP across branded, commercial, documentary, and interview work.
A standout reel showing visual authorship, lighting craft, camera movement, and an eye for honest, unscripted moments.
A strong point of view, paired with the sensitivity to work within and strengthen an existing brand.
Deep command of camera systems, lenses, exposure, color pipelines, lighting, grip, and on-set monitoring.
Genuinely hands-on: equally comfortable building a camera, shaping light, operating, troubleshooting, and leading a crew.
The judgment to make premium images under real constraints, solo with a small kit or leading a full production.
Strong pre-production instincts: turning a creative idea into a technically sound, right-sized plan.
Experience briefing and leading freelance crews and vendors on set, and managing professional production equipment.
Working proficiency in DaVinci Resolve for color grading, selects, and light edits.
Collaborative and low-ego. You bring a strong opinion, take direction, and solve problems with partners.
Comfortable moving fast in an ambiguous, high-output environment without compromising craft, safety, or footage.
Based in or able to work on-site in San Francisco, with flexibility for travel and long shoot days.
A strong Bay Area and Los Angeles network of camera, lighting, grip, sound, production, and rental partners.
Experience within an in-house brand studio at a technology or consumer company.
Strong documentary instincts and experience working with founders, executives, talent, or people who are not professional performers.
Experience with multi-camera interviews, live events, tabletop or product cinematography, motion-control systems, or virtual production.
Color-grading experience and a strong understanding of how capture decisions carry through finishing and delivery.
The AI Acceleration team’s mission is to make Perplexity the best place to build and ship software with AI agents. We build the infrastructure that engineers and agents rely on, and develop new ways for agents to write, test, review, and ship code. Our work helps teams move from an idea to production faster, without compromising quality or reliability.
We own the end-to-end development experience at Perplexity, from the environment where code is written to the systems that ship it to production. That includes local and cloud coding environments, build and test infrastructure, code review, and release management. We’re also building autonomous software development systems, where agents take on increasingly complex engineering work with explicit evaluation, verification, and safety controls. We own both the infrastructure these systems depend on and the workflows that make them useful.
As an AI Acceleration Engineer, you’ll turn emerging agent capabilities into dependable systems used across Perplexity. You’ll work directly with engineers to understand where development slows down, experiment with new approaches, and take promising ideas through to production. This role combines systems engineering, developer experience, and hands-on agent development, with a direct measure of success: helping teams spend less time on delivery overhead and more time building products.
Identify, prioritize, and deliver the highest-impact opportunities to accelerate how Perplexity builds and ships software with AI.
Work directly with engineering and business teams to understand their workflows, constraints, and bottlenecks, and build solutions that address how they actually work.
Build and operate the infrastructure that engineers and agents depend on, including development environments, build and test systems, code review, and release tooling.
Make our codebases, systems, and internal knowledge easier for agents to navigate, understand, and use through better tooling, interfaces, documentation, and context.
Take agent-driven workflows from prototype to production, building the evaluations, verification, and controls needed to delegate increasingly complex engineering work safely.
Improve delivery speed and software quality together. Measure the impact of your work on development time, review effort, and production reliability, and use those results to guide what comes next.
Evaluate emerging models, tools, and approaches through hands-on experimentation. Turn the evidence into clear technical decisions, and drive adoption of the technologies that prove useful.
Use AI extensively in your own engineering work, share what works, and help colleagues adopt effective practices. Partner with engineering leadership and recruiting to strengthen how we hire and develop engineers who work effectively with AI.
5+ years of software engineering experience, ideally with substantial work in infrastructure, platform engineering, or developer productivity in technically complex environments.
Daily, hands-on use of AI models and coding tools, with practical judgment about where they perform well, where they fail, and how to verify their output.
Strong proficiency in one of the languages – Python, Go or Rust, along with the willingness to learn other languages as the work requires.
Broad familiarity with the systems used by AI product and applied research teams, including cloud infrastructure, distributed systems, data pipelines, and ML tooling. You don’t need deep expertise in every layer, but you should understand how they fit together.
An ability to understand how engineers and researchers across disciplines work, paired with curiosity about the needs of business and operations teams. You build tools around users’ actual workflows and constraints.
A drive to make codebases, systems, and processes easier to understand, operate, and change. You look for ways to replace brittle workflows and implicit knowledge with clear interfaces and reliable automation.
Sound technical judgment about when to experiment, when to commit, and when to ship a pragmatic solution. You can balance immediate delivery with investments that make future work faster and more reliable.
Perplexity is seeking software engineers to join our Training Infrastructure team. We’re responsible for the large-scale RL and agent evaluation platforms that enable Perplexity to train state-of-the-art models and optimize agent harnesses.
We are full-stack engineers with a broad remit. If you join us, you’ll build the distributed systems that orchestrate AI workloads across global-scale compute infrastructure. You’ll also define novel user and agent interfaces for designing, managing, and launching experiments. You’ll create tools that make experiment results legible to humans and agents alike, enabling everything from ad-hoc experiment retrospectives to closed-loop autoresearch. And much more!
A strong candidate will possess both experience and passion for solving difficult problems at the intersection of AI, distributed systems, and research acceleration.
2+ years of experience developing and shipping distributed systems for compute-intensive workloads, with a focus on reliability, scalability, and performance.
Proficiency in a general-purpose backend language such as Python, Rust, C++, or Go, and experience with cloud infrastructure and container orchestration, such as AWS and Kubernetes.
Familiarity with reinforcement learning (RL), agent evaluation, or ML infrastructure, and an interest in building systems that accelerate experimentation and model development.
BS, MS, or PhD in Computer Science, Engineering, or a related field, or equivalent practical experience.
Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious.
Ownership. You identify the problem, design the solution and ship it.
Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users.
Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products.
Partnership. We amplify each others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence.
The Cloud Infrastructure team owns the foundational cloud primitives and deployment models that power Perplexity's products, from multi-tenant public cloud to single-tenant and on-premises solutions for enterprise customers.
As Perplexity grows its Computer and Enterprise products, this team builds and operates the security, isolation, and compliance layers that customers depend on. We provide the deployment topologies, multi‑region infrastructure, and core services that enable Perplexity to run reliably and efficiently for both consumer traffic and large enterprises.
Own the roadmap and technical strategy for agent-driven cloud infrastructure management.
Design and operate Perplexity’s cloud networking fabric, including VPC architectures, private connectivity, and peering with hyperscalers and neocloud providers to support low-latency, high-throughput AI workloads.
Architect and scale compute platforms (Kubernetes/EKS, autoscaling groups, and mixed CPU/GPU fleets) to efficiently serve online request traffic and background workloads across regions.
Build and maintain secure, isolated deployment topologies for multi-tenant, single-tenant, and customer‑owned cloud (BYOC) environments, including cross-account networking, identity, and policy guardrails.
Implement and evolve multi-region strategies for availability, failover, and data locality, including traffic routing, regional capacity planning, and disaster recovery playbooks.
Partner with security to deliver enterprise controls such as BYOK/KMS integrations, network isolation, and auditability required for regulated customers.
Develop automation, tooling, and runbooks that make day‑2 operations (provisioning, upgrades, incident response) predictable and repeatable for Perplexity products across all environments.
Deep experience designing and operating cloud infrastructure on AWS (VPC design, routing, security groups, load balancing, private connectivity).
Strong background with Kubernetes/EKS and container orchestration, including multi‑cluster, multi‑region, or multi‑account setups.
Hands-on experience with cloud networking and peering (VPC peering, Transit Gateway, private link/service endpoints, or similar constructs in neoclouds).
Experience building or operating secure, isolated environments for enterprise customers (single‑tenant, BYOC, or on‑prem), ideally including BYOK/KMS integrations and compliance constraints.
Proficiency with infrastructure as code (Terraform) and strong software engineering skills in at least one of Python, Go, or Rust for automation and tooling.
Strong debugging and incident management skills across distributed systems (networking, compute, and platform layers), with a track record of driving root‑cause analysis and long‑term fixes.
7+ years of industry experience building and operating production cloud infrastructure, including leading the design of complex systems or migrations.
If you’re excited about this role, we encourage you to apply even if your experience doesn’t match every qualification listed above.
The Data Platform team owns the end-to-end data lifecycle at Perplexity, from ingestion through processing, storage, and serving, powering product features, analytics, experimentation, AI workloads, and the company’s data lake.
The team defines the architecture for batch and streaming systems, the orchestration and observability stack, and a self-serve data platform, while thoughtfully combining platforms such as Databricks and Snowflake with open-source technologies including Spark, Kafka, Flink, Airflow, Dagster, dbt, Iceberg, Delta Lake, and ClickHouse.
In this senior/staff role, you will shape architecture, set standards, and drive the long-term technical direction of Perplexity’s data ecosystem.
Design and operate large-scale batch and streaming data pipelines that directly power Perplexity product features, AI training and evaluation workflows, analytics, and experimentation.
Build event-driven and streaming systems (Kafka, Kinesis, PubSub, or similar) for real-time ingestion, transformation, and delivery, alongside batch frameworks for backfills, aggregations, and offline computation.
Lead the architecture of data orchestration using tools like Airflow or Dagster, owning scheduling, dependency management, retries, SLAs, and end-to-end observability for critical data flows.
Set and enforce guarantees for data correctness, freshness, lineage, and recoverability, designing systems that handle rapid scale growth, partial failures, and evolving schemas without disrupting AI workloads or product experiences.
Build self-serve data platforms that let engineers, data scientists, and analysts safely discover data, define contracts, and create and operate their own pipelines with minimal friction.
Improve developer experience through better abstractions, opinionated paved paths, and standards for data modeling, testing, validation, and deployment, treating the data platform as a product used by many teams.
Drive architectural decisions across storage, compute, orchestration, and data APIs, partnering closely with product engineering and data science to align the data ecosystem with Perplexity’s roadmap.
Mentor engineers, review designs, and raise the technical bar for data infrastructure through thoughtful feedback, documentation, and hands-on collaboration.
5+ years (Senior) or 8+ years (Staff) of software engineering experience.
Strong experience building production data infrastructure systems.
Hands-on experience with batch and/or streaming data processing at scale.
Deep familiarity with data orchestration systems (Airflow, Dagster, or similar).
Proficiency in Python and at least one additional backend language (Go, TypeScript, etc.).
Strong systems thinking around reliability, latency, cost, and complexity tradeoffs.
Experience supporting ML/AI workflows, training pipelines, or evaluation systems.
Familiarity with data quality, lineage, observability, and governance tooling.
Prior ownership of internal platforms used by many teams.
If you’re excited about this role, we encourage you to apply even if your experience doesn’t match every qualification listed above.
","descriptionPlain":"ABOUT THE ROLE\n\nThe Data Platform team owns the end-to-end data lifecycle at Perplexity, from ingestion through processing, storage, and serving, powering product features, analytics, experimentation, AI workloads, and the company’s data lake.\n\nThe team defines the architecture for batch and streaming systems, the orchestration and observability stack, and a self-serve data platform, while thoughtfully combining platforms such as Databricks and Snowflake with open-source technologies including Spark, Kafka, Flink, Airflow, Dagster, dbt, Iceberg, Delta Lake, and ClickHouse.\n\nIn this senior/staff role, you will shape architecture, set standards, and drive the long-term technical direction of Perplexity’s data ecosystem.\n\n\n\n\nKEY RESPONSIBILITIES\n\n - Design and operate large-scale batch and streaming data pipelines that directly power Perplexity product features, AI training and evaluation workflows, analytics, and experimentation.\n\n - Build event-driven and streaming systems (Kafka, Kinesis, PubSub, or similar) for real-time ingestion, transformation, and delivery, alongside batch frameworks for backfills, aggregations, and offline computation.\n\n - Lead the architecture of data orchestration using tools like Airflow or Dagster, owning scheduling, dependency management, retries, SLAs, and end-to-end observability for critical data flows.\n\n - Set and enforce guarantees for data correctness, freshness, lineage, and recoverability, designing systems that handle rapid scale growth, partial failures, and evolving schemas without disrupting AI workloads or product experiences.\n\n - Build self-serve data platforms that let engineers, data scientists, and analysts safely discover data, define contracts, and create and operate their own pipelines with minimal friction.\n\n - Improve developer experience through better abstractions, opinionated paved paths, and standards for data modeling, testing, validation, and deployment, treating the data platform as a product used by many teams.\n\n - Drive architectural decisions across storage, compute, orchestration, and data APIs, partnering closely with product engineering and data science to align the data ecosystem with Perplexity’s roadmap.\n\n - Mentor engineers, review designs, and raise the technical bar for data infrastructure through thoughtful feedback, documentation, and hands-on collaboration.\n\n\n\n\nQUALIFICATIONS\n\n - 5+ years (Senior) or 8+ years (Staff) of software engineering experience.\n\n - Strong experience building production data infrastructure systems.\n\n - Hands-on experience with batch and/or streaming data processing at scale.\n\n - Deep familiarity with data orchestration systems (Airflow, Dagster, or similar).\n\n - Proficiency in Python and at least one additional backend language (Go, TypeScript, etc.).\n\n - Strong systems thinking around reliability, latency, cost, and complexity tradeoffs.\n\n - Experience supporting ML/AI workflows, training pipelines, or evaluation systems.\n\n - Familiarity with data quality, lineage, observability, and governance tooling.\n\n - Prior ownership of internal platforms used by many teams.\n\n\n\nIf you’re excited about this role, we encourage you to apply even if your experience doesn’t match every qualification listed above."},{"id":"7795683f-6c5f-40cd-af2d-51294edddd4b","title":"Member of Technical Staff (Software Engineer, Backend Platform)","department":"Platform & Infrastructure","team":"Platform & Infrastructure","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[{"location":"Palo Alto","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Palo Alto"}}},{"location":"New York City","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York City"}}}],"publishedAt":"2026-06-03T15:09:42.080+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/perplexity/7795683f-6c5f-40cd-af2d-51294edddd4b","applyUrl":"https://jobs.ashbyhq.com/perplexity/7795683f-6c5f-40cd-af2d-51294edddd4b/application","descriptionHtml":"The Backend Platform team is the backbone of Perplexity’s product reliability, scalability, and performance, enabling every product and AI team to build with confidence.
This high‑impact group builds and maintains critical infrastructure, including backend systems for authentication, authorization, real-time data flows, service orchestration, and sandboxing, to ensure fast, reliable, and secure user experiences. By setting rigorous standards for code quality, uptime and performance, the Platform team ensures everyone at Perplexity can innovate at speed on top of a robust, well-architected foundation.
Lead the design and implementation of our sandboxing platform to safely execute untrusted and user‑generated code while meeting strict performance and reliability requirements.
Define and extend our RBAC and authorization primitives, ensuring they scale with new product capabilities and enterprise controls.
Own key backend services involved in authentication and encryption flows (including BYOK‑related pieces), partnering with Security and Infra on defense‑in‑depth.
Set the technical bar for backend platform design and operations, driving best practices in reliability, observability, and incident response for always‑on systems.
Partner with product and AI teams to define clear platform interfaces, SLAs, and integration patterns so new features can reliably build on shared backend capabilities.
Provide technical leadership across the backend platform area, mentoring other engineers and making long‑term architectural decisions that keep the foundation simple, secure, and evolvable.
Experience designing and building backend systems that run in production (typically 4+ years for mid-level, more for senior and staff).
Strong system design skills, with a track record of creating efficient, reliable, and scalable architectures.
Hands-on experience with modern infrastructure (for example AWS, Kubernetes, and related cloud technologies).
Strong proficiency in at least one backend language such as Python, Go, or Rust, and the ability to work effectively in a multi-language environment.
Collaborative mindset and eagerness to solve challenging technical problems with other experienced engineers.
Comfort working in security‑sensitive areas (auth, authorization, encryption) and making pragmatic trade-offs between safety, simplicity, and velocity.
If you’re excited about this role, we encourage you to apply even if your experience doesn’t match every qualification listed above.
","descriptionPlain":"ABOUT THE ROLE\n\nThe Backend Platform team is the backbone of Perplexity’s product reliability, scalability, and performance, enabling every product and AI team to build with confidence.\n\nThis high‑impact group builds and maintains critical infrastructure, including backend systems for authentication, authorization, real-time data flows, service orchestration, and sandboxing, to ensure fast, reliable, and secure user experiences. By setting rigorous standards for code quality, uptime and performance, the Platform team ensures everyone at Perplexity can innovate at speed on top of a robust, well-architected foundation.\n\n\n\n\nKEY RESPONSIBILITIES\n\n - Lead the design and implementation of our sandboxing platform to safely execute untrusted and user‑generated code while meeting strict performance and reliability requirements.\n\n - Define and extend our RBAC and authorization primitives, ensuring they scale with new product capabilities and enterprise controls.\n\n - Own key backend services involved in authentication and encryption flows (including BYOK‑related pieces), partnering with Security and Infra on defense‑in‑depth.\n\n - Set the technical bar for backend platform design and operations, driving best practices in reliability, observability, and incident response for always‑on systems.\n\n - Partner with product and AI teams to define clear platform interfaces, SLAs, and integration patterns so new features can reliably build on shared backend capabilities.\n\n - Provide technical leadership across the backend platform area, mentoring other engineers and making long‑term architectural decisions that keep the foundation simple, secure, and evolvable.\n\n\n\n\nQUALIFICATIONS\n\n - Experience designing and building backend systems that run in production (typically 4+ years for mid-level, more for senior and staff).\n\n - Strong system design skills, with a track record of creating efficient, reliable, and scalable architectures.\n\n - Hands-on experience with modern infrastructure (for example AWS, Kubernetes, and related cloud technologies).\n\n - Strong proficiency in at least one backend language such as Python, Go, or Rust, and the ability to work effectively in a multi-language environment.\n\n - Collaborative mindset and eagerness to solve challenging technical problems with other experienced engineers.\n\n - Comfort working in security‑sensitive areas (auth, authorization, encryption) and making pragmatic trade-offs between safety, simplicity, and velocity.\n\n\n\nIf you’re excited about this role, we encourage you to apply even if your experience doesn’t match every qualification listed above."},{"id":"39d520eb-6b81-4b61-8b23-5efcdac4cad9","title":"Motion Designer","department":"Design","team":"Design","employmentType":"FullTime","location":"New York City","secondaryLocations":[{"location":"Remote (United States)","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States"}}},{"location":"San Francisco","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}}}],"publishedAt":"2026-09-02T16:39:29.359+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York City"}},"jobUrl":"https://jobs.ashbyhq.com/perplexity/39d520eb-6b81-4b61-8b23-5efcdac4cad9","applyUrl":"https://jobs.ashbyhq.com/perplexity/39d520eb-6b81-4b61-8b23-5efcdac4cad9/application","descriptionHtml":"We're looking for a Senior Motion Designer to own motion graphics and GTM video output across Perplexity's social channels. Video is one of our most important channels for telling the Perplexity story, and we want someone whose primary focus is producing a steady stream of high-quality, on-brand motion work that performs.
This is a video-production-first role. You'll spend most of your time concepting, animating, and shipping GTM materials for social — fast, polished, and distinctly Perplexity. In a secondary capacity, you'll help define our motion principles and contribute to broader creative technologist work as our motion practice matures.
You'll report into the Brand/Creative Studio team and work closely with Brand, Growth, Comms, and the Producer to keep the pipeline moving.
Own the creation of motion graphics and video content for our social channels — concepting, storyboarding, animating, and delivering GTM materials end-to-end
Make video production your primary focus: a consistent, high-volume output of polished, on-brand motion work
Bring ideas to life across 2D and (where relevant) 3D, from styleframes and animatics to final delivery
Partner with Brand and Growth to turn launches and campaigns into motion that lands on social
Contribute to Perplexity's motion principles, systems, and templates so motion scales consistently across the team (secondary focus)
Contribute to broader creative technologist explorations — new tools, techniques, and AI-assisted workflows (secondary focus)
Collaborate with the Producer on scoping, scheduling, and delivering work on time
Senior-level experience in motion graphics and animation, with video production as your core craft
A strong portfolio of expressive motion work — especially social, campaign, and GTM content that demonstrates range and polish
Deep command of animation fundamentals: timing, spacing, composition, visual rhythm, and design sensibility
Expert proficiency in After Effects and the broader Adobe Creative Suite; comfort in Figma
Ability to work fast, manage multiple deliverables, and iterate quickly in a high-output environment
A strong sense of when motion adds clarity or emotion — and when a still is the better choice
Experience developing motion principles, systems, or toolkits that scale across a team
Comfort across 2D and 3D, plus compositing, post-production, and optimization for different social platforms
Creative technologist instincts — building or experimenting with tools and AI-assisted motion workflows
Graphic design fluency (layout, hierarchy, type) sufficient to build and adapt assets directly
We're looking for a Web Designer to own the design of Perplexity's marketing and landing pages. You'll be the person who makes sure every page we ship looks and feels like it belongs to one of the most exciting AI products in the world — clear, beautiful, and fast.
You're a great designer first and foremost, with the visual taste to set the bar for our web presence. But you also understand how modern web pages get built and maintained. As page volume grows across consumer and enterprise, a big part of this role is making our landing page system more self-serve internally: you'll create and own the design side of our CMS so the rest of the company can spin up on-brand pages without a designer in the loop every time.
You'll report into the Brand/Creative Studio team and work closely with Growth, Product Marketing, Brand, and our front-end engineers.
Own the design of marketing pages, landing pages, and growth surfaces end-to-end — you're the DRI for web craft
Create and own the CMS design system: the templates, components, and patterns that let teams build on-brand pages themselves
Partner with Growth and Product Marketing to translate business goals into compelling, high-converting page designs
Work with Brand to keep visual consistency across every web touchpoint
Collaborate directly with front-end engineers to ship pages quickly and at a high quality bar, including the ongoing migration off Framer
Bring a strong point of view on layout, typography, motion, and interaction design for the web
Raise the floor on self-serve page creation so the design team can focus on the highest-craft work
A strong portfolio of web and marketing design work — landing pages, campaign pages, product marketing sites — that shows you're a designer first
Excellent visual design skills with a clear sense of brand, typography, and composition
Hands-on experience designing within and for CMS / templating systems, and an instinct for building scalable, self-serve page systems
Experience at the intersection of brand and growth — you understand conversion without sacrificing craft
Comfort working fast and iterating in real time alongside engineers
Fluency in Figma and a solid understanding of responsive design, accessibility, and web performance
A clear opinion on what makes a great web page, and the ability to articulate why
Front-end development knowledge (HTML, CSS, and enough JS to prototype, tweak, and ship)
Background in brand or marketing design at a consumer tech company
Familiarity with SEO fundamentals and how design decisions affect discoverability
Motion design skills for web interactions and micro-animations
In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people now use Perplexity to transform knowledge into action, and the Growth team owns the product loops that help them discover, adopt, and build lasting habits around our most important AI experiences.
As a growth engineer at Perplexity, you'll work across the full funnel — activation, onboarding, SEO, lifecycle, conversion, retention, and paid upgrade moments — while also building the applied AI systems that make those experiences smarter. Engineers are responsible for end-to-end projects from training and productionizing classifiers to identify high-intent users, personalizing value discovery, shipping contextual onboarding experiments, or wiring new AI capabilities into measurable adoption and revenue outcomes.
Growth at Perplexity goes beyond incremental funnel optimization. The team sits close to the core product - we translate behavioral signals, model outputs, and fast experimentation into durable product surfaces used across consumer and enterprise workflows. You'll move fast, run many experiments in parallel, and own the outcome end-to-end.
Tech Stack: TypeScript | Next.js | React | Python | PostgreSQL | Eppo | AWS
Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious.
Ownership. You identify the problem, design the solution and ship it.
Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users.
Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products.
Partnership. We amplify each others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence.
Design, build, and own growth surfaces across the full funnel — activation, onboarding, SEO, lifecycle, conversion, retention, and paid upgrade moments — for Computer and every Perplexity product.
Lead experiments end-to-end, from hypothesis and instrumentation through implementation, analysis, and rollout, shipping many in parallel and learning quickly from each.
Build applied AI systems that power growth: classifiers for high-intent segments, personalization for value discovery, and AI-driven onboarding and recommendation surfaces.
Launch vertical-specific experiences (e.g., students, enterprise organizations) that connect new AI capabilities to measurable adoption and revenue outcomes.
Hill-climb on the metrics that matter: activation rate, paid conversion, retention, and habit formation, instrumented with clean data and trustworthy experiment readouts.
Partner closely with Product, Design, Data Science, Monetization, Marketing, and Applied AI to translate behavioral signals and model outputs into durable product surfaces.
2+ years of professional software engineering experience (we're open to strong junior and mid-level candidates with a track record of shipping).
Full-stack engineering skills, with comfort across a modern web stack (we use Next.js, React, TypeScript on the frontend and Python on the backend).
Strong execution: you ship many experiments and product improvements in parallel and drive them to a clear outcome.
Familiarity with A/B testing and experimentation platforms (Eppo, Statsig, Optimizely, or in-house equivalents).
Comfort with SQL and data-informed decision-making — you can pull, segment, and interpret your own funnel data.
Strong product judgment; you translate user behavior and growth opportunities into simple, effective technical solutions.
Self-motivated with strong ownership instincts; you propose experiments, ship features ahead of schedule, and drive improvements without asking for permission.
Genuine interest and adoption of AI products and willingness to learn quickly.
Direct experience on a growth, activation, conversion, retention, or lifecycle team at a consumer or PLG/self-serve SaaS company.
Experience training and productionizing ML models (classifiers, ranking, personalization) and connecting them to product surfaces.
Experience with SEO, lifecycle marketing tooling, or paid acquisition surfaces.
Familiarity with subscription and/or usage based billing products, paywalls, or paid upgrade experimentation.
Experience shipping for both consumer and enterprise audiences.
Time spent at a fast-growing startup or on a high-ownership engineering team.
Familiarity with mobile development - Swift/Objective-C/Kotlin/Java, in-app payments, mobile release cycles, Apple App Store and/or Google Play Store guidelines, and rollout monitoring
We are hiring builders to define how people talk to, show things to, and hear from AI
In 2026, we launched Computer, the defining product for the new era of agentic AI. We've scaled beyond the millions of people using Perplexity every day for research, shopping, investing and curiosity into a new paradigm of using AI to transform knowledge into action.
The Multimodal team builds the experiences and infrastructure that move AI interaction beyond touch and text — realtime voice, vision, and the platform systems behind them. We own the full path from a user speaking into a device to an answer coming back: the realtime session infrastructure that connects clients to frontier audio models, the backend orchestration that routes, records, and supervises live sessions, and the SDK that powers voice and multimodal experiences across Perplexity's apps.
As a backend engineer on Multimodal, you will design and scale the distributed systems that carry live voice sessions in production — and drive entirely new products at the intersection of voice, vision, and agents.
Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious.
Ownership. You identify the problem, design the solution and ship it.
Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users.
Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products.
Partnership. We amplify each others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence.
Design, build, and scale the backend session-worker architecture that powers realtime voice: durable per-session workers, provider routing, and stateful streaming over gRPC.
Own distributed-systems problems end-to-end — session lifecycle, crash recovery, reconnection and replay, multi-region deployment, and graceful degradation under real production load.
Build provider-agnostic streaming protocols from our backend to the Rust SDK that powers voice across every client stack.
Drive new products and initiatives in voice and multimodal AI from problem definition through technical design, implementation, and launch.
Build the orchestration layer that lets live voice models delegate work to tools, agents, and long-running tasks — safely, asynchronously, and at scale.
Partner closely with SDK, client, infrastructure, and model teams; work across the stack when the product demands it, from backend services to client-facing APIs.
4+ years of professional software engineering experience building backend or distributed systems.
Strong experience in Rust, Python, or Go (we work primarily in Rust and Python).
Experience designing and operating production distributed systems: streaming RPC (gRPC or similar), stateful services, message-driven architectures, and failure recovery.
Solid understanding of cloud infrastructure — deploying, scaling, and operating services on AWS or equivalent.
Strong product judgment and the ability to translate user problems into simple, effective technical solutions.
Genuine interest and adoption of AI products and willingness to learn quickly.
Experience with realtime media systems: voice, audio streaming, WebRTC, or low-latency transport.
Full-stack range — comfort building end-to-end, from backend services through client SDKs or web frontends.
Experience integrating LLMs, speech models, or computer vision into production systems.
Experience with agent frameworks, tool-calling architectures, or sandboxed execution environments.
Time spent at a fast-growing startup or on a high-ownership engineering team.
Perplexity’s mission is to power curiosity. Curious people are the people who drive change in the world. Driving change is a continuous cycle of learning, building, and integrating.
Learn: curious people constantly learn new things by asking more. They question the status quo in their own expertise and they constantly learn outside of it. Research is essential to them and never ending.
Build: curious people make and create things, to show the world their new answers to problems no one else ever questioned. They take action on what they’ve learned. Makers need tools to create their products, their companies, their reality.
Integrate: they must interact with the world as it is to drive change and adoption. True leaders do not simply build something and hope. They must have armies of agents and workers who can constantly work in millions of small ways.
Repeat. For curious people this is a cycle that never ends.
Perplexity is seeking experienced ML engineers to design, build, and optimize the recommendation systems that power core experiences on Perplexity.
Perplexity builds AI for those who expect more. Our products are designed to help people find answers, make their most consequential decisions, and complete increasingly ambitious work. Across these use cases, the Perplexity experience must feel deeply personal. Great recommendations and user understanding are central to delighting and delivering for each user.
To do this, we are reimagining recommendation systems for the LLM era. Our goal is to combine the intelligence of frontier LLMs, the personalization context that comes from real product usage, and the continual learning capabilities of modern recommendation systems. We build systems that draw on past context and connected data sources to deeply understand each user's needs and recommend the actions that help them get the most out of Perplexity.
Craftsmanship. We build high quality, tasteful products targeting both AI native and AI curious users.
Ownership. You identify the problem, design the solution and ship it.
Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users.
Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products.
Partnership. We amplify each others’ strengths, break down silos, and give selflessly to help our colleagues deliver excellence.
Own the personalization and ranking behind key product surfaces to make Perplexity more useful and drive impact on core user and business metrics.
Build user modeling that captures intent, preference, and propensity, and powers more relevant, more personalized experiences.
Design the decision layer that balances competing objectives to produce the best overall experience for the user.
Build the data and evaluation foundations that let these systems learn and improve with usage.
Help shape the technical direction of ranking, recommendations, and personalization at Perplexity.
Deep, hands-on experience building production recommendation, ranking, or personalization systems at scale.
Strong ML fundamentals, covering areas such as engagement modeling, model calibration, offline and online metrics, and online experimentation.
Experience integrating LLMs into ranking, retrieval, or personalization pipelines.
Taste and judgment for how personalization should work in an LLM-native product, and curiosity about reimagining it from first principles.
For tech leadership roles, we will also look for prior experience setting technical direction for recommendation/ranking projects.
Experience with large-scale ranking and training infrastructure (multi-stage retrieval and ranking, feature stores, real-time serving).
Background in user understanding, feed ranking, notifications, growth, or lifecycle modeling.
Perplexity’s mission is to power curiosity. Curious people are the people who drive change in the world. Driving change is a continuous cycle of learning, building, and integrating.
Learn: curious people constantly learn new things by asking more. They question the status quo in their own expertise and they constantly learn outside of it. Research is essential to them and never ending.
Build: curious people make and create things, to show the world their new answers to problems no one else ever questioned. They take action on what they’ve learned. Makers need tools to create their products, their companies, their reality.
Integrate: they must interact with the world as it is to drive change and adoption. True leaders do not simply build something and hope. They must have armies of agents and workers who can constantly work in millions of small ways.
Repeat. For curious people this is a cycle that never ends.
","descriptionPlain":"Perplexity is seeking experienced ML engineers to design, build, and optimize the recommendation systems that power core experiences on Perplexity.\n\nPerplexity builds AI for those who expect more. Our products are designed to help people find answers, make their most consequential decisions, and complete increasingly ambitious work. Across these use cases, the Perplexity experience must feel deeply personal. Great recommendations and user understanding are central to delighting and delivering for each user.\n\nTo do this, we are reimagining recommendation systems for the LLM era. Our goal is to combine the intelligence of frontier LLMs, the personalization context that comes from real product usage, and the continual learning capabilities of modern recommendation systems. We build systems that draw on past context and connected data sources to deeply understand each user's needs and recommend the actions that help them get the most out of Perplexity.\n\n\n\n\nWHY PERPLEXITY IS DIFFERENT\n\n - Craftsmanship. We build high quality, tasteful products targeting both AI native and AI curious users.\n\n - Ownership. You identify the problem, design the solution and ship it.\n\n - Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users.\n\n - Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products.\n\n - Partnership. We amplify each others’ strengths, break down silos, and give selflessly to help our colleagues deliver excellence.\n\n\nWHAT YOU'LL DO\n\n - Own the personalization and ranking behind key product surfaces to make Perplexity more useful and drive impact on core user and business metrics.\n\n - Build user modeling that captures intent, preference, and propensity, and powers more relevant, more personalized experiences.\n\n - Design the decision layer that balances competing objectives to produce the best overall experience for the user.\n\n - Build the data and evaluation foundations that let these systems learn and improve with usage.\n\n - Help shape the technical direction of ranking, recommendations, and personalization at Perplexity.\n\n\nWHAT WE'RE LOOKING FOR\n\n - Deep, hands-on experience building production recommendation, ranking, or personalization systems at scale.\n\n - Strong ML fundamentals, covering areas such as engagement modeling, model calibration, offline and online metrics, and online experimentation.\n\n - Experience integrating LLMs into ranking, retrieval, or personalization pipelines.\n\n - Taste and judgment for how personalization should work in an LLM-native product, and curiosity about reimagining it from first principles.\n\n - For tech leadership roles, we will also look for prior experience setting technical direction for recommendation/ranking projects.\n\n\nNICE TO HAVE\n\n - Experience with large-scale ranking and training infrastructure (multi-stage retrieval and ranking, feature stores, real-time serving).\n\n - Background in user understanding, feed ranking, notifications, growth, or lifecycle modeling.\n\n\nOUR MISSION\n\nPerplexity’s mission is to power curiosity. Curious people are the people who drive change in the world. Driving change is a continuous cycle of learning, building, and integrating.\n\nLearn: curious people constantly learn new things by asking more. They question the status quo in their own expertise and they constantly learn outside of it. Research is essential to them and never ending.\n\nBuild: curious people make and create things, to show the world their new answers to problems no one else ever questioned. They take action on what they’ve learned. Makers need tools to create their products, their companies, their reality.\n\nIntegrate: they must interact with the world as it is to drive change and adoption. True leaders do not simply build something and hope. They must have armies of agents and workers who can constantly work in millions of small ways.\n\nRepeat. For curious people this is a cycle that never ends."},{"id":"e0e8188a-9c92-4795-82a5-7384f1b25bc7","title":"Commercial Account Executive","department":"Sales","team":"Sales","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[{"location":"Austin","address":{"postalAddress":{"addressRegion":"Texas","addressCountry":"United States","addressLocality":"Austin"}}},{"location":"New York City","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York City"}}}],"publishedAt":"2026-06-08T16:33:16.930+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/perplexity/e0e8188a-9c92-4795-82a5-7384f1b25bc7","applyUrl":"https://jobs.ashbyhq.com/perplexity/e0e8188a-9c92-4795-82a5-7384f1b25bc7/application","descriptionHtml":"Perplexity is seeking a highly motivated and skilled Commercial Account Executive to join our small but mighty Enterprise team. In this role, you will be responsible for driving new business growth across small and mid-sized organizations, converting product-led demand into committed Enterprise relationships, and building Perplexity's footprint across thousands of high-potential accounts. This role is ideal for proactive sales professionals who thrive at the intersection of technology and business, and who want to help shape Perplexity's commercial motion from the ground up.
Drive new business by prospecting, pitching, and closing Perplexity Enterprise solutions with small and mid-sized organizations
Convert existing self-serve customers into Enterprise relationships, and land net-new logos through outbound, inbound, and product-led signals
Diligently research prospects, develop account strategies, and execute outreach campaigns tailored to company and industry needs
Conduct high-impact product demonstrations and respond to technical inquiries across Perplexity's full product suite
Lead client engagement through the entire sales cycle, from initial presentation, technical evaluation, negotiation, to closing and onboarding
Quickly diagnose account potential, qualify in and out with discipline, and partner with Enterprise AEs when an account warrants a larger motion
Collaborate closely with Product, Marketing, and Customer Success to ensure customer satisfaction and solution fit
Maintain up-to-date knowledge of Perplexity's platform, industry trends, and competitor landscape
Meet or exceed individual and team revenue, logo, and activity targets on a monthly and quarterly basis
Maintain accurate records of pipeline and account activity using CRM tools
Full-cycle SaaS sales experience with a strong track record of closing new business
Proven record of meeting or exceeding revenue targets in a high-growth environment
Skilled at running efficient sales cycles and tailoring messaging to different buyer personas and decision makers
Proven success outbound prospecting into small and mid-sized organizations
Exceptional written and verbal communication; comfortable presenting to executives and technical buyers
Adept at identifying client pain points and mapping solutions that drive business value
Ability to collaborate effectively with both cross-functional teams and technical stakeholders
Experience with CRM systems (e.g. Salesforce)
Bachelor's degree or equivalent experience
Perplexity innovates at the frontier of AI infrastructure, search, and orchestration to serve the world's most discerning users. The Perplexity API Platform brings our technology to the world's most discerning developers. From exabyte-scale knowledge indexes to codegen-first agent runtimes, the building blocks behind Perplexity's applications are some of the most battle-tested AI systems in the industry.
We believe these same building blocks can and should power the aspirations of builders everywhere. It's one thing to solve planet-scale retrieval, long-horizon orchestration, and other foundational AI challenges within a single product ecosystem. The true measure of success is to turn those solutions into elegant APIs that delight developers and agents alike. Our API Platform delivers frontier intelligence to thousands of customers: startups, trillion-dollar enterprises, U.S. and allied governments, and everyone in between.
We've achieved incredible scale, yet we're just getting started. Join us to build tools for curious minds.
Perplexity is seeking strong engineers with a passion for delivering frontier intelligence and infrastructure to developers. Our company builds technology that reshapes how people search, reason, and interact with the world around them. Week after week, we observe increasing demand for programmatic interfaces to that technology. The API Platform engineering team is charged with designing, implementing, and scaling these interfaces.
As a member of our team, you'll work on an eclectic portfolio spanning distributed systems, performance optimization, agent orchestration, and frontier topics that often change with each passing month. Throughout this work, you'll prioritize great developer and agent experience alike. You'll also define technical strategy for how we scale to meet compounding growth exponentials (number of customers, agents per customer, compute/retrieval per agent, etc.).
Design, build, and operate mission-critical APIs that provide our customers the building blocks for frontier intelligence.
Own and evolve the API gateway and routing layer: authentication, authorization, rate limiting and quotas, usage metering, and request routing across heterogeneous upstream services.
Build the paved road for API services: standardized service scaffolding, container builds, CI/CD, Kubernetes and Helm deployment, and progressive rollouts with fast rollback, so a new API product goes from idea to production in days, not weeks.
Build API governance into the platform: contract-first schemas, breaking-change detection in CI, versioning and deprecation workflows, and SDKs and documentation generated from a single source of truth.
Unify cross-cutting capabilities (billing and usage, rate limiting, organization and identity settings, analytics and observability) so every API product gets them by default instead of rebuilding them.
Ensure low latency and high throughput through aggressive performance optimization (including on upstream systems).
Harden system security and reliability across heterogeneous compute environments, and operate what you build: SLOs, on-call, and incident response.
Collaborate across teams to bring novel frontier capabilities into the API Platform, and partner with infrastructure teams on compute, networking, secrets, and security.
Continually reimagine the customer needs of tomorrow (and the architectures to serve those needs), while faithfully serving the customer workloads of today.
Uphold engineering excellence through design reviews, code quality, and internal documentation.
5+ years of backend engineering experience with Python, Go, or Rust, including significant time building platforms or infrastructure used by other engineering teams.
Strong understanding of high-traffic API design: schema evolution & versioning, idempotency, authentication patterns, rate limiting, and performance tuning.
Hands-on experience building and operating API gateways, reverse proxies, or routing layers: authentication and authorization, rate limiting and quotas, request routing, traffic shaping, and per-request observability.
Experience building API governance tooling: contract-first API design, breaking-change detection and API linting in CI, versioning and deprecation workflows, and SDKs and documentation generated from the contract.
Platform depth across the build and deploy path: you have owned CI/CD pipelines, container builds and base images, infrastructure as code, and progressive delivery (canary or blue-green) on a major cloud.
A track record of owning a platform end to end: identifying the need, designing it, aligning the teams that depend on it, shipping it, and operating it, while raising the engineering bar for the teams building on it.
Strong customer empathy and product sense, ensuring the APIs you build are ergonomic, well-documented, and easy to adopt for developers and agents alike.
Strong plus:
Experience with modern AI APIs (including latency tuning, streaming, model orchestration, emerging technical standards).
Usage-based billing and metering systems, multi-tenant organization and identity models, and usage analytics pipelines.
Observability for API platforms: structured logging pipelines, metrics, tracing, and SLO tooling.
We're looking for a dynamic, highly organized Recruiting Coordinator to help us scale our team without ever compromising on experience. This is a high-velocity role at the heart of our hiring engine. You'll keep dozens of moving parts in sync, bring order to ambiguity, and make every candidate and hiring partner feel like they're our only priority. If you thrive when the path isn't fully mapped out, move fast without dropping details, and genuinely care about how people are treated, you'll do great here.
Own the end-to-end candidate experience, making every interaction from first touch to final decision, feel seamless, human, and high-touch
Coordinate and schedule interviews across complex calendars, time zones, and competing priorities, keeping things moving at speed
Serve as a trusted partner to recruiters, interviewers, and hiring managers, anticipating needs, communicating proactively, and making their jobs easier
Operate independently in ambiguity: spot gaps, make judgment calls, and create structure where none exists yet
Identify, initiate, and drive projects that improve and scale our recruiting processes as the team grows
Manage logistics, administrative tasks, and ad-hoc recruiting support with accuracy and urgency
Continuously look for ways to raise the bar on both the external candidate experience and the internal stakeholder experience
2–4 years of experience as a Recruiting Coordinator, ideally in a fast-paced or high-growth environment
Comfort operating in ambiguity. You take initiative, make decisions with incomplete information, and don't wait to be told what to do
A natural high-velocity operator who moves quickly without sacrificing accuracy or attention to detail
Exceptional organizational skills and the ability to juggle multiple priorities simultaneously without losing the thread
Strong verbal and written communication skills, with proactive, clear, and warm follow-through
Ability to work independently and collaboratively, adapting fast in a rapidly changing startup environment
Proficiency with various ATSs (Ashby preferred)
We are seeking an experienced GTM Recruiter to partner closely with our GTM leadership team and drive a best-in-class hiring experience across our go-to-market org. The ideal candidate will have a proven track record as a full-cycle GTM recruiter in high-growth environments, with deep experience hiring Account Executives, Customer Success Managers, Support, and the broader sales team. Success in this role requires strong stakeholder management skills, creative AI-augmented sourcing strategies, and the ability to deliver high-quality hires in a fast-paced startup setting.
Beyond the expected; this role requires both a superior level of operational wizardry; and a mastery of storytelling, steeped in a comprehensive understanding of the AI market and the GTM talent landscape. You won't just keep pace with how AI is reshaping recruiting, you'll be the one putting those tools to work, using them to find signal others miss and to move faster than the market.
Own full-cycle recruiting in support of our Head of Sales, Enterprise AEs, sales leadership hires, and adjacent GTM roles as needed
Partner closely with GTM hiring managers as their go-to talent advisor through weekly syncs, candid pipeline reviews, and honest perspective on candidates and the market
Develop and execute innovative sourcing strategies, leveraging AI tools to surface, engage, and attract top GTM talent at scale
Articulate Perplexity's mission, product, and trajectory in a way that wins candidates against competing offers from later-stage companies
Negotiate and close with precision in a market where every strong candidate has competing offers on the table
Analyze recruiting metrics and refine processes, using AI to turn data into faster, smarter hiring decisions
Stay ahead of industry trends, emerging AI recruiting tools, and best practices in GTM recruiting
4+ years of full-cycle GTM recruiting experience, with deep Enterprise Sales hiring under your belt
Experience working at a high-growth startup
Track record of being the go-to recruiter for a sales leader — someone who trusted you with their most important hires
Hands-on experience using AI tools to enhance sourcing, screening, or candidate engagement
Fluency with varied ATSs (Ashby preferred)
Strong analytical and data-driven decision-making skills
Proactive, flexible, with excellent communication and interpersonal skills
Ability to thrive in a fast-paced, rapidly changing environment
Perplexity is looking for a Social Media Manager to expand how Perplexity shows up online. You'll run the channels day to day, writing posts, setting strategy, scaling our accounts, and writing for leadership and the team, working closely with our Communications and marketing team, product managers, and engineers.
This is a hands-on role. You'll write most of what goes out yourself. Excellent judgement and high taste are required. The role is mostly Instagram with some community initiatives like Reddit, and interacting with our developer audiences.
Run social channels day to day. Maintain our brand and product accounts across all channels. This includes writing social copy, planning content, and managing engagement.
Set the social strategy. Decide and execute how we grow each account, what we post where, and how we measure it.
Scale our team accounts. Help employees post in our voice and grow our presence across platforms.
Build and moderate community. Engage on Reddit and in developer communities, and represent Perplexity where our users already are.
Adapt and ship fast. Partner with Comms and marketing, PM’s, founders, and engineers in a fast-paced launch environment.
3+ years running social for a brand, ideally tech and AI.
You can write. Send us posts you wrote that performed and tell us why they worked.
Native fluency on Instagram and LinkedIn, with a track record of growing an account.
Demonstrated experience being entrusted with a brand voice
You know how to write for different audiences and platforms, and adjust the voice for each.
Comfortable in a fast launch cycle where the plan changes often
You've run or moderated a developer or technical community.
You've written on behalf of leadership or other voices.
You follow AI closely and have opinions on how the best companies show up online.
Perplexity is seeking an Internal Communications Manager to build that function from the ground up. You will own how information moves through Perplexity. You will be responsible for what Perplexity employees think, feel, know, and do. This is a 0→1 role with executive exposure from day one.
If you believe internal comms is a strategic function and want to shape how an n(1) company talks to itself, this role is for you.
Responsibilities
Listen and learn across the company. Understand what’s happening, how, and why in order to make sound recommendations on what should be amplified or addressed.
Run all-hands and executive content. Planning, execution, measurement, and evolution.
Internal storytelling. Turn strategy, launches, and hard decisions into messages that bring clarity to every team.
Be the signal in noise. Cut through Slack sprawl. Establish the channels, cadences, and norms that keep a fast company informed without drowning it.
Own change management. Deliver hard and easy news with equal clarity and candor. Earn trust for the message and the messenger..
Protect the culture. Words set the tone. Make sure ours sound like us as we grow.
Measure what matters. Perplexity is a high-velocity high-humility organization.
Partner across the company. Work with every team, brief executives directly, and earn standing as a truth-teller.
Qualifications
6+ years in internal, executive, or corporate communications, ideally inside a high-growth technology company.
A builder, not a maintainer. You've stood a function up, not just kept one running.
World-class writing and editing. You can ghostwrite for an executive, draft an all-hands, or defuse a sensitive announcement in any voice or format.
Proven change-management instincts. You've delivered complex news to a whole company and kept trust intact.
Sharp judgment under pressure. You decide fast, say the hard thing kindly, and hold the line on quality on launch day.
Comfort with executives who hold a strong vision. You can advise, challenge, and make recommendations to senior leaders without flinching.
Deep familiarity with the rules of corporate comms, and a clear point of view on which ones to break and when.
Comfort using AI tools in your workflow, and the ability to say exactly where and how you use them.
A passion for the truth well-told
Perplexity is seeking a Senior Editor to lead the quality and velocity of everything we publish. Our content spans a range of audiences, channels, and objectives. You will set the editorial bar for excellence and make every writer around you measurably better.
If you treat a clunky sentence and a sprawling launch narrative as the same kind of craft, take pride in language without being precious about deadlines, and want to build a world-class editorial function from the ground up, this role is for you.
Responsibilities
Own editorial quality end to end.
Reject mediocrity.
Demand clarity. Ensure accuracy.
Be Perplexity. Evolve and enforce our voice. Everything we ship should sound like we shipped it.
Be accountable. Hold objective authority in a sea of subjective opinions.
Plan and manage the editorial calendar. Run prioritization and production for a fast-moving pipeline in a high-growth environment.
Edit at every level. Player-coach plus team owner and stadium sponsor. Move fluidly from high-level editorial vision to developmental editing to line-level copy editing. Deliver feedback that makes the writing and the writer better.
Mentor, elevate, and attract excellent writers. Earn the respect of strong writers by making them stronger.
Make sense of things. Make sense to people.
Build the editorial system. Evolve and own the style guides and workflows.
Work productively across the company. Everyone wants content, and you’re the content.
Qualifications
7+ years in editing, writing, or editorial leadership, with a body of published or edited work that demonstrates exceptional command of language.
High flexibility of tone and mind. You must be able to demonstrate an ability to adapt styles and voices for different channels or audiences.
High competence throughout the editorial stack: developmental editing, copy editing, content planning, and managing production.
A demonstrated track record of mentoring writers and improving the quality of a team's output, not just your own.
Exceptional ability to learn.
Refined judgment on all matters of structure, argument, and voice
A proven eye for narrative in messy, ambiguous, or highly technical material.
Deep familiarity with the rules of grammar, style, and storytelling.
Enough experience in the bullet above that you have a clear perspective on which rules you intend to break and when.
Comfort using AI tools and the ability to articulate exactly where and how you incorporate them into your workflows.
A passion for the truth well-told.
Perplexity is looking for experienced Generalist Software Engineers to join our Perplexity and Comet application teams. Our team is reshaping knowledge work through our high-impact desktop and Comet apps. The ideal candidate should have strong programming skills and multiple years of experience shipping high-quality, production software.
Our stack spans several different skillsets, including Rust, Kotlin, Swift, Typescript, Chromium and Perplexity’s core AI stack. We have found that our strongest engineers are capable of working across multiple codebases and ramping up quickly, and we expect the same high bar for candidates.
Responsibilities
Work closely with product teams to implement novel mobile experiences.
Work closely with design teams to design fast and intuitive UI.
Utilize Perplexity Computer and other Agentic coding tools to accelerate development.
Collaborate with data science and machine learning teams to instrument, analyze, and improve the end-to-end experience.
Work with infrastructure and QA teams on deployment processes, including testing, release, and monitoring.
Requirements
4+ years industry experience
Experience in shipping high-quality native applications
Architecture experience in writing code understandable by both agents and humans
Deep understanding of app performance
Ability to own projects and surfaces, and to push them forward proactively
We are seeking an experienced Technical Recruiter to partner closely with engineering leadership and drive a best-in-class hiring experience. The ideal candidate will have a proven track record as a full-cycle technical recruiter in high-growth environments. Success in this role requires strong stakeholder management skills, creative AI-augmented sourcing strategies, and the ability to deliver high-quality hires in a fast-paced startup setting.
Beyond the expected; this role requires both a superior level of operational wizardry; and a mastery of storytelling, steeped in a comprehensive understanding of the AI market and technology landscape. You won't just keep pace with how AI is reshaping recruiting, you'll be the one putting those tools to work, using them to find signals others miss and to move faster than the market.
Develop and execute innovative sourcing strategies, leveraging AI tools to surface, engage, and attract top technical talent at scale
Use AI to sharpen every stage of the funnel, from drafting compelling outreach to mapping talent pools and identifying non-obvious candidates
Manage the candidate experience throughout the recruitment process, providing timely feedback and updates
Build strong partnerships with hiring managers to understand technical requirements and team dynamics
Negotiate job offers and close candidates
Analyze recruiting metrics and refine processes, using AI to turn data into faster, smarter hiring decisions
Stay ahead of industry trends, emerging AI recruiting tools, and best practices in technical recruiting
5+ years of full-cycle technical recruiting experience
Experience working at a high-growth startup
Proven track record of successfully placing top-tier technical talent
Hands-on experience using AI tools to enhance sourcing, screening, or candidate engagement
Fluency with varied Applicant Tracking Systems (Ashby preferred)
Strong analytical and data-driven decision-making skills
Proactive, flexible, with excellent communication and interpersonal skills
Ability to thrive in a fast-paced, rapidly changing environment
Description
In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people now use Perplexity to transform knowledge into action, and the Integrations team builds the systems and products that let Perplexity connect to user data and workflows across multiple verticals, turning connected data into reliable, AI-powered experiences people use every day.
As an engineer on the Integrations team at Perplexity, you’ll define the technical direction of products that connect Perplexity to workflows across multiple verticals and work full-stack to build these applied AI systems. You’ll move quickly, owning outcomes end-to-end, and building useful products people reach for every day.
Tech Stack: TypeScript | Next.js | React | Python | PostgreSQL | Eppo | AWS
Why Perplexity is different
Craftsmanship. We build high-quality, tasteful products targeting both the AI-native and AI-curious.
Ownership. You identify the problem, design the solution and ship it.
Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users.
Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products.
Partnership. We amplify each other’s strengths, break down silos, and give selflessly to help our colleagues deliver excellence.
What you'll do
Build agentic apps, features, and workflows that make Perplexity a daily driver for users.
Lead vertical-specific products and AI-powered experiences like a Personal CFO and Email Assistant, turning connected data into reliable, high-impact tools people want to use every day.
Own the data backbone of pipelines, infrastructure, and connectors that bring user and enterprise data to agents and products at a 99.9% reliability bar.
Drive end-to-end projects across the full stack, running experiments in parallel and hill-climbing on adoption, retention, and revenue.
Set technical direction, mentor engineers, and partner with AI, Design, Data Science, and Infra to ship products that don't exist anywhere else.
Qualifications
6+ years of professional software engineering experience, with a track record of rapidly shipping complex products end-to-end.
Demonstrated technical leadership: you've owned large, ambiguous projects, set direction, and driven them to clear outcomes.
Strong execution: you ship many products and experiments in parallel and drive each to a measurable result.
Strong product judgment; you translate user behavior and product opportunities into simple, effective technical solutions.
An \"extra zero\" mindset: you aim for outcomes that are 10x, not 10%, and own the result end-to-end.
Self-motivated with strong ownership instincts; you propose ideas, ship features ahead of schedule, and drive improvements without asking for permission.
Experience mentoring engineers and raising the technical bar of a team.
Genuine interest in and adoption of AI products and willingness to learn quickly.
Nice to have
Domain expertise in verticals such as finance, healthcare, legal, or operations.
Experience building agentic product surfaces.
Time at a fast-growing startup or high-ownership engineering team.
The Enterprise AI Products team builds products that make AI part of how teams work together, not just a tool people use on their own. We bring Perplexity Computer into Slack, Microsoft Teams, Microsoft Office, and MCP server with helping teams collaborate with agents and automate work across conversations, documents, and business systems. That includes workflows that start from a message or business event, carry out multiple steps, and bring people in for decisions and approvals.
You’ll build new products from the ground up, working directly with customers to understand their problems and shape what we build next. You’ll combine applied AI engineering with product judgment, moving quickly from prototypes to reliable products that solve recurring problems across many organizations. Ownership extends beyond launch: you’ll use customer feedback and product experiments to improve the experience, grow adoption, and make Computer something teams depend on in their daily work.
Design and build AI-powered experiences in Slack, Microsoft Teams, Microsoft Office, and the MCP server bringing Computer into the tools where teams communicate, create, and coordinate work.
Build workflow and automation products that let teams delegate recurring, multi-step tasks to agents, including scheduled and event-triggered execution, human approvals, and visibility into progress and results.
Build shared agent experiences that let teams delegate work, review results, and build on each other’s workflows, with clear ownership and handoffs between people and agents.
Work directly with customers and internal teams to identify high-impact problems, validate ideas through rapid prototyping, and turn successful use cases into scalable, reusable products.
Own products end to end, from problem definition and technical design through full-stack implementation, launch, and production reliability.
Measure and improve activation, repeat usage, and workflow completion, using customer feedback and product experiments to drive sustained AI adoption.
Partner with Product, Design, Sales, and engineering teams to turn customer needs and emerging AI capabilities into reliable product experiences.
4+ years of software engineering experience, with a track record of building and shipping production products end to end.
Hands-on experience shipping applications with LLMs or AI agents, with good judgment about their capabilities and limitations and experience improving product quality through evaluation and user feedback.
Strong software engineering and system design skills, with proficiency in Python or Go and the ability to work across backend services and user-facing applications.
Strong product judgment and the ability to translate ambiguous customer needs into simple, effective product experiences for users with different levels of technical expertise.
Comfort working directly with customers, moving quickly between discovery and implementation, and owning problems without a fully defined specification.
Experience with enterprise, growth, or collaboration products is a plus.
If you're excited about this role, we encourage you to apply even if your experience doesn't match every qualification listed above.
","descriptionPlain":"ABOUT THE ROLE\n\nThe Enterprise AI Products team builds products that make AI part of how teams work together, not just a tool people use on their own. We bring Perplexity Computer into Slack, Microsoft Teams, Microsoft Office, and MCP server with helping teams collaborate with agents and automate work across conversations, documents, and business systems. That includes workflows that start from a message or business event, carry out multiple steps, and bring people in for decisions and approvals.\n\n\n\nYou’ll build new products from the ground up, working directly with customers to understand their problems and shape what we build next. You’ll combine applied AI engineering with product judgment, moving quickly from prototypes to reliable products that solve recurring problems across many organizations. Ownership extends beyond launch: you’ll use customer feedback and product experiments to improve the experience, grow adoption, and make Computer something teams depend on in their daily work.\n\n\nKEY RESPONSIBILITIES\n\n - Design and build AI-powered experiences in Slack, Microsoft Teams, Microsoft Office, and the MCP server bringing Computer into the tools where teams communicate, create, and coordinate work.\n\n - Build workflow and automation products that let teams delegate recurring, multi-step tasks to agents, including scheduled and event-triggered execution, human approvals, and visibility into progress and results.\n\n - Build shared agent experiences that let teams delegate work, review results, and build on each other’s workflows, with clear ownership and handoffs between people and agents.\n\n - Work directly with customers and internal teams to identify high-impact problems, validate ideas through rapid prototyping, and turn successful use cases into scalable, reusable products.\n\n - Own products end to end, from problem definition and technical design through full-stack implementation, launch, and production reliability.\n\n - Measure and improve activation, repeat usage, and workflow completion, using customer feedback and product experiments to drive sustained AI adoption.\n\n - Partner with Product, Design, Sales, and engineering teams to turn customer needs and emerging AI capabilities into reliable product experiences.\n\n\nQUALIFICATIONS\n\n - 4+ years of software engineering experience, with a track record of building and shipping production products end to end.\n\n - Hands-on experience shipping applications with LLMs or AI agents, with good judgment about their capabilities and limitations and experience improving product quality through evaluation and user feedback.\n\n - Strong software engineering and system design skills, with proficiency in Python or Go and the ability to work across backend services and user-facing applications.\n\n - Strong product judgment and the ability to translate ambiguous customer needs into simple, effective product experiences for users with different levels of technical expertise.\n\n - Comfort working directly with customers, moving quickly between discovery and implementation, and owning problems without a fully defined specification.\n\n - Experience with enterprise, growth, or collaboration products is a plus.\n\n\n\nIf you're excited about this role, we encourage you to apply even if your experience doesn't match every qualification listed above."},{"id":"04d73be4-8a69-4e62-9b0d-e9b7968cf860","title":"Brand Designer, Growth","department":"Design","team":"Design","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[{"location":"New York City","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York City"}}}],"publishedAt":"2026-09-02T16:38:15.015+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/perplexity/04d73be4-8a69-4e62-9b0d-e9b7968cf860","applyUrl":"https://jobs.ashbyhq.com/perplexity/04d73be4-8a69-4e62-9b0d-e9b7968cf860/application","descriptionHtml":"We're looking for a Growth Brand Designer to sit at the intersection of brand craft and growth performance. You'll be the designer who makes Perplexity's highest-volume, highest-leverage marketing surfaces — paid ads, social, lifecycle email, and campaign assets — look unmistakably Perplexity while actually moving the numbers.
This is a shipping role, but it's equally a thinking role. Strategic concepting is a big part of the job: you'll sit with the Growth team as an ideator — generating campaign concepts, testing hypotheses, and shaping the creative strategy behind the work — not just executing briefs handed to you. The ideas you bring to the table matter as much as the assets you ship.
You'll produce a steady stream of ad and campaign creative across formats and channels, then work with Growth to read the results and iterate. You care about conversion and craft in equal measure: you'd never ship an off-brand asset to win a test, and you'd never hide behind polish when the data says a concept isn't working.
You'll report into the Brand/Creative Studio team and work closely with Growth, Product Marketing, Brand, and our motion and web designers.
Drive strategic concepting for growth campaigns — bring original ideas, angles, and creative territories to the table, and shape the brief rather than just receiving it
Operate as a true ideation partner to the Growth team: co-develop campaign strategy, propose test hypotheses, and pitch concepts that open up new creative directions
Own the design of growth creative end-to-end — paid social and display ads, campaign assets, and lifecycle email — from concept to shipped asset
Design for volume and velocity: build variant sets, test hypotheses, and iterate on winners with the Growth team using real performance data
Turn product launches and GTM campaigns into ad creative that lands on every channel it runs — static, animated, and everything in between
Build and maintain scalable ad and email templates so high-frequency asset production stays fast and on-brand
Partner with Brand to keep visual consistency across every growth touchpoint as our brand system evolves
Collaborate with our motion designer and web designer so campaigns feel cohesive from the first ad impression to the landing page
Bring a strong point of view on what makes performance creative great — and push back when a \"best practice\" would cheapen the brand
A strong portfolio of growth and brand design work — paid ads, social campaigns, lifecycle email, campaign systems — that shows both craft and results
Proven strategic concepting ability: you can show campaigns where the idea was yours, not just the execution, and articulate the thinking behind them
Excellent visual design skills with a clear sense of brand, typography, layout, and composition
Hands-on experience designing performance creative at a consumer or prosumer tech company, including working directly with growth or performance marketing teams
Fluency reading creative performance data (CTR, conversion, hook rates) and translating it into design decisions
Ability to work fast, manage a high volume of deliverables across channels, and iterate quickly without dropping the quality bar
Fluency in Figma and the Adobe Creative Suite
An instinct for building repeatable systems — templates, variant frameworks, asset kits — rather than one-off files
5+ years of industry experience
Motion design skills — animated ads, short-form video for social, or After Effects fluency
Familiarity with ad platform specs and constraints (Meta, Google, TikTok, X, YouTube) and how they shape creative decisions
Experience using AI-assisted design and image-generation workflows to scale creative output
Copywriting instincts — you can tighten a headline when there's no writer in the room
Perplexity is seeking an Enterprise Product Growth Manager to own the full nurture and engagement engine for our enterprise and business buyers — from the first outbound touch through closed-won and into expansion. You will partner closely with Demand Generation, Sales, Product Marketing, and Revenue Operations to move accounts through every stage of the funnel, and you will build the AI-native tooling that makes those programs run.
We are not looking for someone to operate yesterday's marketing stack. If you are the kind of marketer who writes their own SQL, prototypes their own agents, and treats every flow as something to automate rather than execute by hand — this role was written for you.
RESPONSIBILITIES
Develop and own Perplexity's end-to-end enterprise lifecycle user states — outbound nurture, MQL-to-SQL conversion, opportunity acceleration, post-sale activation, expansion, and renewal — with direct accountability for pipeline created, pipeline progressed, and revenue retained.
Build and operate AI-native lifecycle tooling — agents that segment audiences from the warehouse, personalize copy at the account and persona level, choose channel and send time, QA before send, and read out results — replacing manual work in our stack wherever it appears.
Design and run multi-channel nurture across email, in-product, notifications, Slack, and emerging surfaces, tailored to enterprise personas with content tied to where each account sits in the funnel.
Partner with Demand Generation and Sales on top-of-funnel outbound: turn cold and intent-signaled accounts into engaged conversations, and instrument the handoffs that move them to opportunity.
Own post-sale lifecycle: admin onboarding, end-user activation, feature adoption, at-risk intervention, and expansion plays that grow seats and ARR inside existing accounts.
Run every program as an experiment. Define the hypothesis, the control, the primary metric, and the readout. Kill what doesn't work, double down on what does.
WHAT WE'RE LOOKING FOR:
7+ years in product growth, lifecycle, or growth marketing at a fast-paced startup, with a proven track record of moving activation, retention, and revenue metrics — including enterprise pipeline.
Experience owning growth end-to-end across the full user journey — from first touch and activation through expansion, monetization, and win-back. You've built growth loops and lifecycle programs that turn signups into engaged users and engaged users into revenue.
Deep understanding of audience segmentation. You think natively in personas, behavioral triggers, lifecycle stages, and product signals, and you know how to translate that into journeys, experiments, and in-product experiences that actually convert.
Great taste. You know how to craft copy and experiences that resonate across email, push, and in-product surfaces — for end users, admins, and executives alike — and you can tell the difference between a polished experience and a generic one at a glance.
Experience and deep interest in building homegrown AI-driven growth engines — programmatic personalization, agentic workflows, and rapid experimentation platforms to scale yourself.
Builder mentality toward tooling. You don't just operate the modern growth stack (Omni, HubSpot, Loops, Intercom, or equivalents) — you extend it. You've built your own internal tools, scripts, and automated systems to close gaps off-the-shelf software can't, and you'd rather automate a workflow than run it manually twice.
Comfortable with SQL. You can pull your own cohorts, validate your own segments, and read a dashboard without waiting on a data analyst.
Operates at high velocity. You ship daily, iterate weekly, and thrive in fast-paced, early-stage environments where processes are still being defined. Urgency is a default setting, not a mode you switch into.
Perplexity is seeking energetic researchers and engineers to join our Secure Intelligence Institute (SII), Perplexity's flagship research center for advancing security, privacy, and trust in frontier intelligence. SII’s goals are to advance frontier AI security research, translate those advances into concrete improvements in Perplexity's systems, and share knowledge and resources that strengthen the broader AI ecosystem.
As a member of SII, you'll conduct original and impactful research on improving the security and privacy of frontier intelligence systems. Your goal will be to conduct research that is not only rigorous in theory, but practical enough to improve the systems people rely on every day. This work will be informed by the realities of operating general-purpose AI systems used by millions of people and thousands of enterprises, and you'll be expected to translate both your own research and advances from the broader community to practical improvements that protect and defend Perplexity's users.
Develop threat models for emerging attack surfaces in AI-native products, including browser, search, and autonomous agents.
Identify and analyze security and privacy threats across AI systems, infrastructure, and user-facing products.
Develop novel defenses, mitigations, and detection mechanisms for security and privacy in AI-native products.
Build security evaluation frameworks, benchmarks, and datasets to measure the effectiveness of different defense mechanisms.
Partner with Perplexity’s Security Engineering team to translate state of the art research into shipped security features and hardened system architectures.
Collaborate with top-tier academic and industry researchers in SII's external research network.
Publish findings at premier venues and contribute to the broader security research community.
Hold a PhD (or equivalent research experience) in Computer Science, Computer Engineering, or a related field, with a primary focus on security and/or privacy.
Experience publishing at top security conferences (IEEE S&P, USENIX Security, ACM CCS, NDSS) demonstrating original, impactful research contributions.
Deep expertise in one or more of: security of agentic systems, systems security, web and applications security, program analysis, and software security.
Proficiency in Python (bonus points for TypeScript, Go, and/or Rust).
Ability to operate with high independence, willing to dive in and take ownership, and comfortable in a fast-paced environment where research directly informs product.
Clear and concise communcation, translating complex attack narratives into actionable insights for engineering and leadership.
Perplexity is an AI-powered answer engine founded in December 2022 and growing rapidly as one of the world's leading AI platforms. Perplexity has raised over $1B in venture investment from some of the world's most visionary and successful leaders, including Elad Gil, Daniel Gross, Jeff Bezos, Accel, IVP, NEA, NVIDIA, Samsung, and many more. Our objective is to build accurate, trustworthy AI that powers decision-making for people and assistive AI wherever decisions are being made.
Throughout human history, change and innovation have always been driven by curious people. Today, curious people use Perplexity to answer more than 780 million queries every month—a number that's growing rapidly for one simple reason: everyone can be curious.
Perplexity is building the AI platform for professional legal work: Perplexity Computer, our agentic platform that navigates tools, completes multi-step workflows, and connects to the case law, statutes, filings, contracts, and internal documents that legal professionals already rely on, and our API Platform, which powers search, retrieval, and automation across structured and unstructured legal data.
At the center of this is our Applied AI / Forward Deployed motion: we work closely with law firms and in-house legal teams to distill their core legal processes and embed them into bespoke solutions built on our platform. That means sitting with partners, associates, and counsel to understand how they research, review, draft, and advise, then translating those workflows into custom skills, agents, and connector configurations that run inside their daily process—and feeding what we learn back into the product so it compounds across customers.
As an AI Strategist on our Applied AI team focused on the legal vertical, you are the subject matter expert who makes this real for legal professionals. This is a commercial and sales engineering role: you will own strategic customer engagements end to end—leading discovery, defining what to build, demonstrating frontier capabilities against real legal workflows, and driving deployments from first conversation through production and expansion. You are part customer owner, part product strategist, part sales engineer—fluent in both the language of the practice group and the language of the platform.
Lead discovery with law firms and in-house legal departments: what matters to the practice, what problems they are solving, and which workflows are worth automating
Define scope—what is the right thing to build—and own success metrics, pilot design, and commercial structure
Drive deployment and rollout across practice groups and legal departments, with real revenue responsibility alongside Sales
Build and deliver compelling, workflow-specific demonstrations: legal research, contract review and analysis, due diligence, drafting, deposition and discovery summarization, regulatory monitoring
Prototype workflows, skills, and connector configurations hands-on in Perplexity Computer and the API Platform to prove value in the customer's own use cases
Run pilots and evaluations that hold up to scrutiny from skeptical partners and general counsel
Translate how practice groups, legal departments, and legal ops teams actually work into product, connector, and data-partnership priorities
Assess whether we have the right research, contract, docket, and document-management integrations to serve each legal segment—and drive the roadmap where we do not
Codify repeatable engagement patterns: discovery templates, practice-specific reference workflows, demo libraries, and deployment playbooks
Own senior relationships with partners, general counsel, and legal-innovation leaders; move engagements through qualification, scoping, proposal, pricing, legal, and close
Create urgency, write crisp follow-ups, and know when to push and when to wait
3+ years of direct experience practicing law at a leading firm or in-house—litigation, transactional, or regulatory—or in legal ops / legal innovation with deep workflow exposure; you have run diligence, drafted and negotiated agreements, and lived the workflows you will now automate
5+ years of total experience spanning legal and some combination of technical GTM, sales engineering, solutions architecture, AI product strategy, or applied AI with customer exposure
Deep fluency in legal workflows: research, contract review, diligence, drafting, discovery, regulatory analysis, and matter management
Strong intuition for AI products, agents, and workflows, with the ability to understand technical systems without needing every detail pre-digested
Demonstrated ability to turn ambiguous customer problems into scoped, executable deployment plans with clear success metrics
Strong commercial instincts and comfort operating with partners, general counsel, CIOs, and heads of innovation
Excellent written and verbal communication; able to write proposals, customer memos, technical scopes, and launch narratives
High agency and low ego, with the ability to run multiple complex customer workstreams in parallel and make progress before the playbook exists
JD and bar admission
Hands-on experience building with agentic systems, tool-use workflows, MCP, or LLM APIs
Working knowledge of legal technology platforms: Westlaw, LexisNexis, iManage, NetDocuments, Relativity, Ironclad, or similar
Experience selling or deploying technology into law firms or regulated enterprises, including outside-counsel guidelines, privilege, and security review
Founder or early-startup operating experience
Strong network across AmLaw 100 firms and Fortune 500 legal departments
If you're excited about this role, we encourage you to apply even if your experience doesn't match every qualification listed above.
","descriptionPlain":"Perplexity is an AI-powered answer engine founded in December 2022 and growing rapidly as one of the world's leading AI platforms. Perplexity has raised over $1B in venture investment from some of the world's most visionary and successful leaders, including Elad Gil, Daniel Gross, Jeff Bezos, Accel, IVP, NEA, NVIDIA, Samsung, and many more. Our objective is to build accurate, trustworthy AI that powers decision-making for people and assistive AI wherever decisions are being made.\n\n\n\nThroughout human history, change and innovation have always been driven by curious people. Today, curious people use Perplexity to answer more than 780 million queries every month—a number that's growing rapidly for one simple reason: everyone can be curious.\n\n\n\nABOUT THE ROLE\n\nPerplexity is building the AI platform for professional legal work: Perplexity Computer, our agentic platform that navigates tools, completes multi-step workflows, and connects to the case law, statutes, filings, contracts, and internal documents that legal professionals already rely on, and our API Platform, which powers search, retrieval, and automation across structured and unstructured legal data.\n\n\n\nAt the center of this is our Applied AI / Forward Deployed motion: we work closely with law firms and in-house legal teams to distill their core legal processes and embed them into bespoke solutions built on our platform. That means sitting with partners, associates, and counsel to understand how they research, review, draft, and advise, then translating those workflows into custom skills, agents, and connector configurations that run inside their daily process—and feeding what we learn back into the product so it compounds across customers.\n\n\n\nAs an AI Strategist on our Applied AI team focused on the legal vertical, you are the subject matter expert who makes this real for legal professionals. This is a commercial and sales engineering role: you will own strategic customer engagements end to end—leading discovery, defining what to build, demonstrating frontier capabilities against real legal workflows, and driving deployments from first conversation through production and expansion. You are part customer owner, part product strategist, part sales engineer—fluent in both the language of the practice group and the language of the platform.\n\n\nRESPONSIBILITIES\n\n\nOWN STRATEGIC LEGAL ENGAGEMENTS\n\n - Lead discovery with law firms and in-house legal departments: what matters to the practice, what problems they are solving, and which workflows are worth automating\n\n - Define scope—what is the right thing to build—and own success metrics, pilot design, and commercial structure\n\n - Drive deployment and rollout across practice groups and legal departments, with real revenue responsibility alongside Sales\n\n\nBE THE DEMO AND TECHNICAL PROOF ENGINE\n\n - Build and deliver compelling, workflow-specific demonstrations: legal research, contract review and analysis, due diligence, drafting, deposition and discovery summarization, regulatory monitoring\n\n - Prototype workflows, skills, and connector configurations hands-on in Perplexity Computer and the API Platform to prove value in the customer's own use cases\n\n - Run pilots and evaluations that hold up to scrutiny from skeptical partners and general counsel\n\n\nBRING DOMAIN JUDGMENT TO THE PRODUCT\n\n - Translate how practice groups, legal departments, and legal ops teams actually work into product, connector, and data-partnership priorities\n\n - Assess whether we have the right research, contract, docket, and document-management integrations to serve each legal segment—and drive the roadmap where we do not\n\n - Codify repeatable engagement patterns: discovery templates, practice-specific reference workflows, demo libraries, and deployment playbooks\n\n\nOPERATE AS THE COMMERCIAL LEAD\n\n - Own senior relationships with partners, general counsel, and legal-innovation leaders; move engagements through qualification, scoping, proposal, pricing, legal, and close\n\n - Create urgency, write crisp follow-ups, and know when to push and when to wait\n\n\nQUALIFICATIONS\n\n - 3+ years of direct experience practicing law at a leading firm or in-house—litigation, transactional, or regulatory—or in legal ops / legal innovation with deep workflow exposure; you have run diligence, drafted and negotiated agreements, and lived the workflows you will now automate\n\n - 5+ years of total experience spanning legal and some combination of technical GTM, sales engineering, solutions architecture, AI product strategy, or applied AI with customer exposure\n\n - Deep fluency in legal workflows: research, contract review, diligence, drafting, discovery, regulatory analysis, and matter management\n\n - Strong intuition for AI products, agents, and workflows, with the ability to understand technical systems without needing every detail pre-digested\n\n - Demonstrated ability to turn ambiguous customer problems into scoped, executable deployment plans with clear success metrics\n\n - Strong commercial instincts and comfort operating with partners, general counsel, CIOs, and heads of innovation\n\n - Excellent written and verbal communication; able to write proposals, customer memos, technical scopes, and launch narratives\n\n - High agency and low ego, with the ability to run multiple complex customer workstreams in parallel and make progress before the playbook exists\n\n\nNICE-TO-HAVES\n\n - JD and bar admission\n\n - Hands-on experience building with agentic systems, tool-use workflows, MCP, or LLM APIs\n\n - Working knowledge of legal technology platforms: Westlaw, LexisNexis, iManage, NetDocuments, Relativity, Ironclad, or similar\n\n - Experience selling or deploying technology into law firms or regulated enterprises, including outside-counsel guidelines, privilege, and security review\n\n - Founder or early-startup operating experience\n\n - Strong network across AmLaw 100 firms and Fortune 500 legal departments\n\n\n\nIf you're excited about this role, we encourage you to apply even if your experience doesn't match every qualification listed above."},{"id":"31dfcb60-a0df-4983-b3a4-d653cdc0aa8f","title":"AI Strategist, Financial Services","department":"Sales","team":"Sales","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[{"location":"New York City","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York City"}}}],"publishedAt":"2026-07-23T23:01:27.682+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/perplexity/31dfcb60-a0df-4983-b3a4-d653cdc0aa8f","applyUrl":"https://jobs.ashbyhq.com/perplexity/31dfcb60-a0df-4983-b3a4-d653cdc0aa8f/application","descriptionHtml":"Perplexity is an AI-powered answer engine founded in December 2022 and growing rapidly as one of the world's leading AI platforms. Perplexity has raised over $1B in venture investment from some of the world's most visionary and successful leaders, including Elad Gil, Daniel Gross, Jeff Bezos, Accel, IVP, NEA, NVIDIA, Samsung, and many more. Our objective is to build accurate, trustworthy AI that powers decision-making for people and assistive AI wherever decisions are being made.
Throughout human history, change and innovation have always been driven by curious people. Today, curious people use Perplexity to answer more than 780 million queries every month—a number that's growing rapidly for one simple reason: everyone can be curious.
Perplexity is building the AI platform for professional finance: Perplexity Computer, our agentic platform that navigates tools, completes multi-step workflows, and connects to the market data, filings, transcripts, and research that investment professionals already rely on, and our API Platform, which powers search, retrieval, and automation across structured and unstructured financial data.
At the center of this is our Applied AI / Forward Deployed motion: we work closely with buyside firms—hedge funds, private equity, and asset managers—to distill their core investment processes and embed them into bespoke solutions built on our platform. That means sitting with analysts and PMs to understand how they screen, diligence, monitor, and decide, then translating those workflows into custom skills, agents, and connector configurations that run inside their daily process—and feeding what we learn back into the product so it compounds across customers.
As an AI Strategist on our Applied AI team focused on financial services, you are the subject matter expert who makes this real for investment professionals. This is a commercial and sales engineering role: you will own strategic customer engagements end to end—leading discovery, defining what to build, demonstrating frontier capabilities against real investment workflows, and driving deployments from first conversation through production and expansion. You are part customer owner, part product strategist, part sales engineer—fluent in both the language of the deal team and the language of the platform.
Lead discovery with banks, PE firms, hedge funds, and asset managers: what matters to the investment team, what problems they are solving, and which workflows are worth automating
Define scope—what is the right thing to build—and own success metrics, pilot design, and commercial structure
Drive deployment and rollout across front-office teams, with real revenue responsibility alongside Sales
Build and deliver compelling, workflow-specific demonstrations: screening, comps, diligence, earnings analysis, research synthesis, portfolio monitoring
Prototype workflows, skills, and connector configurations hands-on in Perplexity Computer and the API Platform to prove value in the customer's own use cases
Run pilots and evaluations that hold up to scrutiny from skeptical analysts and PMs
Translate how deal teams, research desks, and portfolio managers actually work into product, connector, and data-partnership priorities
Assess whether we have the right market data, filings, transcripts, and research integrations to serve each finance sub-vertical—and drive the roadmap where we do not
Codify repeatable engagement patterns: discovery templates, finance-specific reference workflows, demo libraries, and deployment playbooks
Own senior relationships with investment professionals and technology leaders; move engagements through qualification, scoping, proposal, pricing, legal, and close
Create urgency, write crisp follow-ups, and know when to push and when to wait
3+ years of direct experience in investment banking, private equity, hedge funds, equity research, or institutional asset management—you have built models, written memos, and lived the workflows you will now automate
6+ years of total experience spanning finance and some combination of technical GTM, sales engineering, solutions architecture, AI product strategy, or applied AI with customer exposure
Deep fluency in front-office workflows: screening, comps, diligence, earnings, research synthesis, portfolio construction and monitoring
Strong intuition for AI products, agents, and workflows, with the ability to understand technical systems without needing every detail pre-digested
Comfortable working shoulder-to-shoulder with Forward Deployed Engineers and technical teams: scoping builds together, pairing on prototypes, and translating customer requirements into engineering-ready specs
Demonstrated ability to turn ambiguous customer problems into scoped, executable deployment plans with clear success metrics
Strong commercial instincts and comfort operating with MDs, partners, PMs, CIOs, and CTOs
Excellent written and verbal communication; able to write proposals, customer memos, technical scopes, and launch narratives
High agency and low ego, with the ability to run multiple complex customer workstreams in parallel and make progress before the playbook exists
Hands-on experience building with agentic systems, tool-use workflows, MCP, or LLM APIs
Working knowledge of institutional data platforms: FactSet, Bloomberg, S&P Capital IQ, PitchBook, Morningstar, or similar
Experience selling or deploying technology into regulated financial institutions, including security and compliance review
Founder or early-startup operating experience
Strong network across buy-side and sell-side institutions
If you're excited about this role, we encourage you to apply even if your experience doesn't match every qualification listed above.
","descriptionPlain":"Perplexity is an AI-powered answer engine founded in December 2022 and growing rapidly as one of the world's leading AI platforms. Perplexity has raised over $1B in venture investment from some of the world's most visionary and successful leaders, including Elad Gil, Daniel Gross, Jeff Bezos, Accel, IVP, NEA, NVIDIA, Samsung, and many more. Our objective is to build accurate, trustworthy AI that powers decision-making for people and assistive AI wherever decisions are being made.\n\n\n\nThroughout human history, change and innovation have always been driven by curious people. Today, curious people use Perplexity to answer more than 780 million queries every month—a number that's growing rapidly for one simple reason: everyone can be curious.\n\n\nABOUT THE ROLE\n\nPerplexity is building the AI platform for professional finance: Perplexity Computer, our agentic platform that navigates tools, completes multi-step workflows, and connects to the market data, filings, transcripts, and research that investment professionals already rely on, and our API Platform, which powers search, retrieval, and automation across structured and unstructured financial data.\n\n\n\nAt the center of this is our Applied AI / Forward Deployed motion: we work closely with buyside firms—hedge funds, private equity, and asset managers—to distill their core investment processes and embed them into bespoke solutions built on our platform. That means sitting with analysts and PMs to understand how they screen, diligence, monitor, and decide, then translating those workflows into custom skills, agents, and connector configurations that run inside their daily process—and feeding what we learn back into the product so it compounds across customers.\n\n\n\nAs an AI Strategist on our Applied AI team focused on financial services, you are the subject matter expert who makes this real for investment professionals. This is a commercial and sales engineering role: you will own strategic customer engagements end to end—leading discovery, defining what to build, demonstrating frontier capabilities against real investment workflows, and driving deployments from first conversation through production and expansion. You are part customer owner, part product strategist, part sales engineer—fluent in both the language of the deal team and the language of the platform.\n\n\nRESPONSIBILITIES\n\n\nOWN STRATEGIC FINANCIAL-SERVICES ENGAGEMENTS\n\n - Lead discovery with banks, PE firms, hedge funds, and asset managers: what matters to the investment team, what problems they are solving, and which workflows are worth automating\n\n - Define scope—what is the right thing to build—and own success metrics, pilot design, and commercial structure\n\n - Drive deployment and rollout across front-office teams, with real revenue responsibility alongside Sales\n\n\nBE THE DEMO AND TECHNICAL PROOF ENGINE\n\n - Build and deliver compelling, workflow-specific demonstrations: screening, comps, diligence, earnings analysis, research synthesis, portfolio monitoring\n\n - Prototype workflows, skills, and connector configurations hands-on in Perplexity Computer and the API Platform to prove value in the customer's own use cases\n\n - Run pilots and evaluations that hold up to scrutiny from skeptical analysts and PMs\n\n\nBRING DOMAIN JUDGMENT TO THE PRODUCT\n\n - Translate how deal teams, research desks, and portfolio managers actually work into product, connector, and data-partnership priorities\n\n - Assess whether we have the right market data, filings, transcripts, and research integrations to serve each finance sub-vertical—and drive the roadmap where we do not\n\n - Codify repeatable engagement patterns: discovery templates, finance-specific reference workflows, demo libraries, and deployment playbooks\n\n\nOPERATE AS THE COMMERCIAL LEAD\n\n - Own senior relationships with investment professionals and technology leaders; move engagements through qualification, scoping, proposal, pricing, legal, and close\n\n - Create urgency, write crisp follow-ups, and know when to push and when to wait\n\n\nQUALIFICATIONS\n\n - 3+ years of direct experience in investment banking, private equity, hedge funds, equity research, or institutional asset management—you have built models, written memos, and lived the workflows you will now automate\n\n - 6+ years of total experience spanning finance and some combination of technical GTM, sales engineering, solutions architecture, AI product strategy, or applied AI with customer exposure\n\n - Deep fluency in front-office workflows: screening, comps, diligence, earnings, research synthesis, portfolio construction and monitoring\n\n - Strong intuition for AI products, agents, and workflows, with the ability to understand technical systems without needing every detail pre-digested\n\n - Comfortable working shoulder-to-shoulder with Forward Deployed Engineers and technical teams: scoping builds together, pairing on prototypes, and translating customer requirements into engineering-ready specs\n\n - Demonstrated ability to turn ambiguous customer problems into scoped, executable deployment plans with clear success metrics\n\n - Strong commercial instincts and comfort operating with MDs, partners, PMs, CIOs, and CTOs\n\n - Excellent written and verbal communication; able to write proposals, customer memos, technical scopes, and launch narratives\n\n - High agency and low ego, with the ability to run multiple complex customer workstreams in parallel and make progress before the playbook exists\n\n\nNICE-TO-HAVES\n\n - Hands-on experience building with agentic systems, tool-use workflows, MCP, or LLM APIs\n\n - Working knowledge of institutional data platforms: FactSet, Bloomberg, S&P Capital IQ, PitchBook, Morningstar, or similar\n\n - Experience selling or deploying technology into regulated financial institutions, including security and compliance review\n\n - Founder or early-startup operating experience\n\n - Strong network across buy-side and sell-side institutions\n\n\n\nIf you're excited about this role, we encourage you to apply even if your experience doesn't match every qualification listed above."},{"id":"8ede25ea-9212-4007-bb99-feae4d1a3014","title":"Program Manager, Talent Acquisition","department":"People","team":"People","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2026-07-23T23:04:37.788+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/perplexity/8ede25ea-9212-4007-bb99-feae4d1a3014","applyUrl":"https://jobs.ashbyhq.com/perplexity/8ede25ea-9212-4007-bb99-feae4d1a3014/application","descriptionHtml":"Perplexity is scaling at a pace few companies ever experience, and talent is the surface where our biggest bets get won or lost. We're hiring a Program Manager to sit at the center of that motion, owning the mission-critical, cross-functional programs that shape how we plan, prioritize, and hire.
This is a uniquely visible seat, reserved for operators who thrive in ambiguity and have a track record of driving companywide initiatives to measurable outcomes. You'll work shoulder-to-shoulder with recruiting leadership, executives, and cross-functional partners to architect the systems, operating rhythms, and decision-making frameworks that let the company move faster and with more clarity. When a complex, high-stakes program needs an owner, you're the person leadership turns to.
What You'll Do
Own Perplexity's most consequential talent programs end-to-end, from ambiguous mandate to shipped outcome
Partner directly with executives and recruiting leadership to turn strategy into programs with clear owners, milestones, and accountability
Drive cross-functional initiatives across Recruiting, People, Finance, and business leadership, aligning stakeholders and clearing blockers before they escalate
Design the operating cadence of the org: planning cycles, prioritization, reporting rhythms, and executive updates that keep leadership decisive
Build the systems, tooling, and workflows that let recruiting scale, automating the repetitive so human judgment goes to the highest-leverage work
Stand up the metrics and dashboards that turn hiring data into faster, sharper decisions
Anticipate risk on the highest-visibility programs, communicate crisply under pressure, and drive to resolution when priorities shift
Set the bar for program excellence and codify repeatable playbooks the rest of the company can adopt
What You Bring
7+ years of program or project management experience, including ownership of companywide, mission-critical initiatives
Direct experience partnering with and presenting to executives on high-stakes, cross-functional work
Track record of driving ambiguous programs to measurable outcomes in fast-paced, rapidly scaling environments
Operational rigor. You build order out of chaos and design systems that outlast you
Strong analytical instincts, with the ability to structure messy data into clear direction for leadership
Sharp communication and stakeholder judgment, with the discretion to operate on sensitive, high-visibility work
A builder's mindset and a bias for action, aligned with Perplexity's ethos of building what hasn't been built before
Recruiting, talent, or People-org program experience is a plus, but we're optimizing for the best operators first
Perplexity is looking for a Design Engineer to help turn perplexity.com into a real growth engine, not a pile of one-off pages. You'll sit shoulder to shoulder with brand designers, PMMs, growth, and content teams, shipping product launch pages, campaign landing pages, and the components and tooling that let those teams move fast without lowering the bar.
This is a hands-on role for someone with real taste, sharp attention to detail, and the speed to turn a Figma file, a Slack thread, or a rough sketch into a polished, shipped page quickly.
Tech stack: React, TypeScript, Tailwind CSS, Sanity
Ship product launch pages and evergreen marketing pages for products like Comet, Computer, Deep Research, Search, and Hub. Own the work from Figma handoff to production.
Partner with brand designers to build interactive experiences that make the site feel alive and drive engagement.
Maintain and extend our brand design system and component library, keeping Figma and production in sync so brand and creative can scaffold pages with guardrails.
Work closely with the paid ads and growth teams to run A/B tests on landing pages, popups, and upsell modules. Read the results, then iterate.
Migrate the leftover Framer collections to Sanity, model schemas that non-engineers can actually use, and help ship new content types like changelog, customer stories, and academy pages.
Design and unblock yourself when design resources are constrained. You can take a rough direction and turn it into something worth shipping.
Improve the tools around the work: CMS workflows, i18n, SEO, experimentation, and internal tooling for marketing self-serve. If a manual process is slowing the team down, you should want to fix it.
3+ years of experience as a front-end or design engineer, ideally on a marketing or growth site.
A portfolio site that shows your previous work on marketing sites and design work.
Strong skills in React, CSS, and modern frameworks.
Deep understanding of responsive design and design-to-code workflows. You know what the platform can do and you stay current on what's new.
Experience maintaining a reusable component library and sweating the design details in code.
A real eye for design. You can tell the difference between \"almost right\" and \"actually right,\" and your work reflects it.
Attention to detail that shows up unprompted. The 2px misalignment, the wrong easing curve, the widow at the end of the paragraph.
Stellar communication skills and a track record of working effectively in cross-functional teams. You can defend a decision, push back constructively, and explain trade-offs to non-technical stakeholders.
Desire to work in a fast-paced environment, continuously grow, and master your craft.
Experience running A/B tests and reading experiments results in a growth context.
Knowledge of SEO principles, structured data, and localization workflows.
Experience with web animations (GSAP, Motion, Web Animations API), 3D libraries, or interactive storytelling.
Experience working with a headless CMS (Sanity, Contentful).
Experience building internal tools or AI-assisted workflows that made a marketing or design team faster.
The Enterprise Agent Evals & Efficiency team makes Perplexity's agents better at completing real work across enterprise connectors, tools, and data. Our goal is to help agents choose the right tools, use the right context, and complete complex workflows reliably, with less time and compute. This team owns the improvement loop: define what successful work looks like, build evaluations that measure it, understand where agents fail, and ship changes that improve outcomes.
This is a hands-on engineering role with end-to-end ownership, from building realistic enterprise evaluation environments to shipping improvements across the agent harness, tools, and skills. You'll create complex scenarios spanning connected systems, data, and permissions, use them to identify where agents struggle, and improve the tools agents call, the skills they follow, the context they receive, and the models they use. Working with AI Research, Connectors, and Platform teams, you'll turn experimental results into measurable gains in task success, latency, and cost per successful task. The goal is not just to measure agents, but to make more enterprise work reliable and practical to automate.
Build realistic enterprise evaluation environments spanning connected applications, representative datasets, user roles, and permissions, with complex, multi-step workflows and reproducible system state.
Own evaluation infrastructure, task suites, and automated graders that measure how well agents complete enterprise work, calibrated against human judgment and grounded in end-to-end outcomes.
Analyze agent trajectories and production failures, identify root causes, and ship improvements across the agent harness, tools, and skills that measurably improve task success and reliability.
Develop reusable skills and improve tool descriptions, schemas, and result handling so agents can select the right tools, execute workflows correctly, and recover from errors with fewer unnecessary calls.
Build and evaluate model-selection and routing strategies that match each task to the right model and effort level, balancing quality, latency, reliability, and cost.
Improve agent efficiency through context management, skill loading, caching, and execution strategies that reduce wasted tokens and cost per successful task without compromising quality or safety.
Build regression gates and launch-readiness signals for model, connector, tool, skill, and harness changes, and validate that evaluation gains translate into better production outcomes.
5+ years of software engineering or machine learning engineering experience, with a track record of owning complex production systems from design through deployment and operation.
Strong system design skills, including building reliable, scalable infrastructure for experimentation, evaluation, or data-intensive applications.
Strong proficiency in a backend language such as Python, Go, or Rust, and the ability to work effectively across a multi-language production stack.
Hands-on experience building, evaluating, or improving LLM-based applications or agents, including tool use and multi-step workflows.
Deep expertise in at least one of the following:
Evaluation infrastructure, benchmark design, and automated grading.
Agent harnesses, tool interfaces, and reusable skills for complex workflows.
Realistic test environments or simulations spanning multiple systems, datasets, permissions, and stateful workflows.
Model selection, routing, and inference efficiency, including context management and caching.
Strong experimental and statistical judgment, including choosing representative tasks, defining meaningful success criteria, diagnosing failures, and distinguishing real improvements from noise.
Sound technical judgment in balancing task quality, latency, reliability, and cost, with a track record of translating evaluation findings into shipped improvements.
A track record of leading ambiguous, cross-team initiatives from architecture through production adoption, setting technical direction, and raising engineering quality through mentorship.
If you’re excited about this role, we encourage you to apply even if you don’t meet every qualification. We value demonstrated impact, deep ownership, and the initiative to turn ambiguity into results.
","descriptionPlain":"ABOUT THE ROLE\n\nThe Enterprise Agent Evals & Efficiency team makes Perplexity's agents better at completing real work across enterprise connectors, tools, and data. Our goal is to help agents choose the right tools, use the right context, and complete complex workflows reliably, with less time and compute. This team owns the improvement loop: define what successful work looks like, build evaluations that measure it, understand where agents fail, and ship changes that improve outcomes.\n\nThis is a hands-on engineering role with end-to-end ownership, from building realistic enterprise evaluation environments to shipping improvements across the agent harness, tools, and skills. You'll create complex scenarios spanning connected systems, data, and permissions, use them to identify where agents struggle, and improve the tools agents call, the skills they follow, the context they receive, and the models they use. Working with AI Research, Connectors, and Platform teams, you'll turn experimental results into measurable gains in task success, latency, and cost per successful task. The goal is not just to measure agents, but to make more enterprise work reliable and practical to automate.\n\n\n\n\nKEY RESPONSIBILITIES\n\n - Build realistic enterprise evaluation environments spanning connected applications, representative datasets, user roles, and permissions, with complex, multi-step workflows and reproducible system state.\n\n - Own evaluation infrastructure, task suites, and automated graders that measure how well agents complete enterprise work, calibrated against human judgment and grounded in end-to-end outcomes.\n\n - Analyze agent trajectories and production failures, identify root causes, and ship improvements across the agent harness, tools, and skills that measurably improve task success and reliability.\n\n - Develop reusable skills and improve tool descriptions, schemas, and result handling so agents can select the right tools, execute workflows correctly, and recover from errors with fewer unnecessary calls.\n\n - Build and evaluate model-selection and routing strategies that match each task to the right model and effort level, balancing quality, latency, reliability, and cost.\n\n - Improve agent efficiency through context management, skill loading, caching, and execution strategies that reduce wasted tokens and cost per successful task without compromising quality or safety.\n\n - Build regression gates and launch-readiness signals for model, connector, tool, skill, and harness changes, and validate that evaluation gains translate into better production outcomes.\n \n \n\n\nQUALIFICATIONS\n\n - 5+ years of software engineering or machine learning engineering experience, with a track record of owning complex production systems from design through deployment and operation.\n\n - Strong system design skills, including building reliable, scalable infrastructure for experimentation, evaluation, or data-intensive applications.\n\n - Strong proficiency in a backend language such as Python, Go, or Rust, and the ability to work effectively across a multi-language production stack.\n\n - Hands-on experience building, evaluating, or improving LLM-based applications or agents, including tool use and multi-step workflows.\n\n - Deep expertise in at least one of the following:\n \n - Evaluation infrastructure, benchmark design, and automated grading.\n \n - Agent harnesses, tool interfaces, and reusable skills for complex workflows.\n \n - Realistic test environments or simulations spanning multiple systems, datasets, permissions, and stateful workflows.\n \n - Model selection, routing, and inference efficiency, including context management and caching.\n\n - Strong experimental and statistical judgment, including choosing representative tasks, defining meaningful success criteria, diagnosing failures, and distinguishing real improvements from noise.\n\n - Sound technical judgment in balancing task quality, latency, reliability, and cost, with a track record of translating evaluation findings into shipped improvements.\n\n - A track record of leading ambiguous, cross-team initiatives from architecture through production adoption, setting technical direction, and raising engineering quality through mentorship.\n\n\n\nIf you’re excited about this role, we encourage you to apply even if you don’t meet every qualification. We value demonstrated impact, deep ownership, and the initiative to turn ambiguity into results."},{"id":"2c6ae16b-d03e-4e33-9d32-362c5388e956","title":"Member of Technical Staff (Model Behavior)","department":"AI Research & Systems","team":"AI Research & Systems","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[{"location":"Palo Alto","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Palo Alto"}}}],"publishedAt":"2026-07-30T18:12:04.348+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/perplexity/2c6ae16b-d03e-4e33-9d32-362c5388e956","applyUrl":"https://jobs.ashbyhq.com/perplexity/2c6ae16b-d03e-4e33-9d32-362c5388e956/application","descriptionHtml":"We're hiring software engineers for the Model Behavior team to help shape how Perplexity’s AI products behave: the style of their responses, and the way they use tools, skills, and memory. The team designs prompt and context engineering strategies to deliver high-quality user experiences across multiple domains and models.
The ideal candidate for this role has a strong software engineering background, and an analytical, experiment-driven approach to solving challenging problems. You’ll work on context and prompt engineering to shape model behavior and style, and to guide how models use tools, skills, and memory across our products.
Context Engineering: Design, test, and optimize the prompts, skills, tools, and memory that shape Perplexity responses across products, features, and use cases. Build self-improvement loops to steer the prompt, improve tool/skill use, and improve the ability to draw on memory.
Model Releases: Help experiment with and release new models.
Research & Analysis: Identify inconsistencies and failure modes in model outputs through well-designed research projects, for both internal and production systems.
Knowledge Sharing: Help engineers across teams build intuition for prompt design and context engineering best practices.
Staying Current: Track the latest prompting, context engineering, and alignment techniques from industry and academia, and bring the best ideas back to the team.
2 to 10+ years of experience in software engineering or research.
Strong background in software engineering fundamentals, and a technical understanding of LLM-driven and agentic systems.
Experience shaping LLM behavior through prompts, tool and skill design, or memory systems.
Strong written and verbal communication skills, particularly in explaining complex concepts to diverse stakeholders.
Recent experience working on modern LLM-driven products.
Experience working across teams or with external partners.
Experience designing evaluations or benchmarks for AI systems.
In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people now use Perplexity to transform knowledge into action, and a growing share of them meet us first on their phone. The Growth team owns the product loops that help people discover, adopt, and build lasting habits around our most important AI experiences — and on mobile that means owning everything from the App Store listing to the first task a user finishes to the moment they upgrade.
As an Android growth engineer at Perplexity, you'll work across the full mobile funnel — install, activation, onboarding, push and lifecycle messaging, conversion, retention, and in-app purchase moments — for Perplexity, Comet, and Computer on Android. Engineers are responsible for end-to-end projects: rebuilding onboarding as a series of experiments, wiring in-app purchase and paywall surfaces to our billing systems, shipping notification experiences people actually keep enabled, and turning ASO and deep-link work into measurable adoption.
Growth at Perplexity goes beyond incremental funnel optimization. The team sits close to the core product — we translate behavioral signals, model outputs, and fast experimentation into durable product surfaces used across consumer and enterprise workflows. You'll move fast, run many experiments in parallel, and own the outcome end-to-end, while respecting the constraints mobile brings: release cycles, store review, and version fragmentation.
Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious.
Ownership. You identify the problem, design the solution and ship it.
Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users.
Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products.
Partnership. We amplify each others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence.
Design, build, and own growth surfaces across the mobile funnel — install, activation, onboarding, lifecycle, conversion, retention, and paid upgrade moments — on Android.
Lead experiments end-to-end, from hypothesis and instrumentation through implementation, analysis, and rollout, shipping many in parallel despite app release cadence. Build the flag-driven and server-driven patterns that let us test without waiting on a store release.
Own in-app purchase and paywall surfaces: billing integrations, subscription and credit purchase flows, entitlement correctness, and pricing and packaging experiments.
Build push and lifecycle notification experiences that earn their opt-in — permission prompts, targeting, timing, deep links back into the right task, and the instrumentation to prove they drive retention rather than churn.
Make cross-platform surfaces feel native. Partner with web and design engineers so onboarding, upsells, and in-task nudges are consistent across web, iOS, and Android
Partner with rest of Growth to optimize app store performance and attribution
Hill-climb on the metrics that matter: install-to-activation, D1/D7/D30 retention, notification opt-in and engagement, paid conversion, and habit formation, instrumented with clean data and trustworthy experiment readouts.
Partner closely with Product, Design, Data Science, Monetization, Marketing, and the core Mobile team to translate behavioral signals into durable product surfaces.
3+ years of professional mobile engineering experience shipping consumer apps at meaningful scale on Android.
Strong native skills — Kotlin/Jetpack Compose — and the willingness to flex into other parts of the stack to unblock yourself and others.
Experience owning a full release cycle: build and release tooling, phased rollouts, store review, crash and regression monitoring, and rolling back safely.
Strong execution: you ship many experiments and product improvements in parallel and drive them to a clear outcome.
Familiarity with A/B testing and experimentation platforms (Eppo, Statsig, Optimizely, or in-house equivalents) especially inside a versioned app.
Comfort data-informed decision-making — you can pull, segment, and interpret your own funnel data.
Strong product judgment; you translate user behavior and growth opportunities into simple, effective technical solutions.
Self-motivated with strong ownership instincts; you propose experiments, ship features ahead of schedule, and drive improvements without asking for permission.
Genuine interest and adoption of AI products and willingness to learn quickly.
Direct experience on a growth or experimentation-heavy team
Deep experience with in-app payments
Experience with mobile attribution and measurement stacks (AppsFlyer, Adjust, Branch) and paid mobile acquisition.
ASO experience, including store listing experiments and localized metadata.
Comfort reaching into the backend or web stack to unblock yourself end-to-end.
Time spent at a fast-growing startup or on a high-ownership engineering team.
In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people now use Perplexity to transform knowledge into action, and a growing share of them meet us first on their phone. The Growth team owns the product loops that help people discover, adopt, and build lasting habits around our most important AI experiences — and on mobile that means owning everything from the App Store listing to the first task a user finishes to the moment they upgrade.
As a mobile growth engineer at Perplexity, you'll work across the full mobile funnel — install, activation, onboarding, push and lifecycle messaging, conversion, retention, and in-app purchase moments — for Perplexity, Comet, and Computer on iOS. Engineers are responsible for end-to-end projects: rebuilding onboarding as a series of experiments, wiring in-app purchase and paywall surfaces to our billing systems, shipping notification experiences people actually keep enabled, and turning ASO and deep-link work into measurable adoption.
Growth at Perplexity goes beyond incremental funnel optimization. The team sits close to the core product — we translate behavioral signals, model outputs, and fast experimentation into durable product surfaces used across consumer and enterprise workflows. You'll move fast, run many experiments in parallel, and own the outcome end-to-end, while respecting the constraints mobile brings: release cycles, store review, and version fragmentation.
Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious.
Ownership. You identify the problem, design the solution, and ship it.
Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users.
Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products.
Partnership. We amplify each others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence.
Design, build, and own growth surfaces across the mobile funnel — install, activation, onboarding, lifecycle, conversion, retention, and paid upgrade moments — on iOS.
Lead experiments end-to-end, from hypothesis and instrumentation through implementation, analysis, and rollout, shipping many in parallel despite app release cadence. Build the flag-driven and server-driven patterns that let us test without waiting on a store release.
Own in-app purchase and paywall surfaces: billing integrations, subscription and credit purchase flows, entitlement correctness, and pricing and packaging experiments.
Build push and lifecycle notification experiences that earn their opt-in — permission prompts, targeting, timing, deep links back into the right task, and the instrumentation to prove they drive retention rather than churn.
Make cross-platform surfaces feel native. Partner with web and design engineers so onboarding, upsells, and in-task nudges are consistent across web, iOS, and Android
Partner with rest of Growth to optimize app store performance and attribution
Hill-climb on the metrics that matter: install-to-activation, D1/D7/D30 retention, notification opt-in and engagement, paid conversion, and habit formation, instrumented with clean data and trustworthy experiment readouts.
Partner closely with Product, Design, Data Science, Monetization, Marketing, and the core Mobile team to translate behavioral signals into durable product surfaces.
3+ years of professional mobile engineering experience shipping consumer apps at meaningful scale on iOS.
Strong native skills (eg. Swift/SwiftUI/Objective-C) — and the willingness to flex into other parts of the stack to unblock yourself and others.
Experience owning a full release cycle: build and release tooling, phased rollouts, store review, crash and regression monitoring, and rolling back safely.
Strong execution: you ship many experiments and product improvements in parallel and drive them to a clear outcome.
Familiarity with A/B testing and experimentation platforms (Eppo, Statsig, Optimizely, or in-house equivalents) especially inside a versioned app.
Comfort data-informed decision-making — you can pull, segment, and interpret your own funnel data.
Strong product judgment; you translate user behavior and growth opportunities into simple, effective technical solutions.
Self-motivated with strong ownership instincts; you propose experiments, ship features ahead of schedule, and drive improvements without asking for permission.
Genuine interest and adoption of AI products and willingness to learn quickly.
Direct experience on a growth or experimentation-heavy team
Deep experience with in-app payments
Experience with mobile attribution and measurement stacks (AppsFlyer, Adjust, Branch) and paid mobile acquisition.
ASO experience, including store listing experiments and localized metadata.
Comfort reaching into the backend or web stack to unblock yourself end-to-end.
Time spent at a fast-growing startup or on a high-ownership engineering team.
Perplexity is seeking a self-starting, technically fluent Account Executive to join our small but mighty Enterprise team and own new business for the Perplexity API platform — the frontier AI developer tools (Search, Sonar, and Agent APIs) that power real-time, grounded answer engines.
This is a rare seat. You'll get to sell — and help shape — frontier AI dev tools, with a front-row seat into how the most ambitious AI-native product companies think about frontier AI infrastructure. Your job is to evangelize that platform with large enterprises and turn it into durable revenue. This role is ideal for proactive sales professionals who thrive at the intersection of technology and business, can operate in ambiguity, and want to shape the future of enterprise AI.
Drive new business by prospecting, pitching, and closing Perplexity API platform solutions with large organizations
Research prospects, develop account strategies, and execute outreach campaigns tailored to company and industry needs
Conduct high-impact product demonstrations and respond to RFPs and technical inquiries
Lead client engagement through the entire sales cycle — from initial presentation, technical evaluation, negotiation, to closing and onboarding
Build and nurture senior-level relationships across enterprise clients, championing Perplexity's value proposition and customer outcomes
Partner closely with Product, DevRel, and Engineering to ensure customer success, solution fit, and a feedback loop into the roadmap
Maintain up-to-date knowledge of Perplexity's platform, industry trends, and competitor landscape
Meet or exceed individual and team revenue targets on a monthly and quarterly basis
Maintain accurate records of pipeline and account activity using CRM tools
A self-starter who can operate in ambiguity and knock down walls to get deals done
Technically fluent — comfortable speaking credibly with developers and technical buyers
3+ years of full-cycle SaaS sales experience, ideally with enterprise-level clients
Proven record of meeting or exceeding revenue targets in a high-growth environment
Skilled at complex sales cycles, tailoring messaging to different buyer personas and decision makers
Proven success outbound prospecting to large enterprise
Exceptional written and verbal communication; comfortable presenting to C-suite executives
Adept at identifying client pain points and mapping solutions that drive business value
Ability to collaborate effectively with cross-functional teams and technical stakeholders
Experience with CRM systems (e.g., Salesforce)
Bachelor's degree or equivalent experience
Experience working with APIs or developer platforms
A computer science or technical background
Familiarity with the AI / LLM / agent ecosystem
Perplexity is looking for a dynamic and innovative contributor to join our team to help advance the business, improve the products we’re building, and revolutionize the way people search and interact with the internet. This unique role offers significant responsibility to apply and strengthen your technical background and combine your legal experience, and offers growth potential in other areas of an in-house practice group.
We seek a technical lead to join our legal operations team to drive infrastructure development across our legal and operations team and support our ambitious growth trajectory within our rapidly growing AI technology company. This unique role will report to the Legal Operations Manager and partner with the General Counsel and VP, Operations on strategic planning, architecting, delivering, and transforming high-volume legal workflows into scalable, automated systems. We're seeking a sharp, innovative technical operations professional with strong business judgment, practical problem-solving skills, and a deep understanding of high-growth startup environments. Ideally, this person also brings legal expertise alongside technical know-how. You’ll build scalable processes and establish foundational systems that will scale with our growth. Success requires someone who is inquisitive, has entrepreneurial drive, and the agility to thrive in our fast-paced environment while shaping our non-technical orgs from the ground up at a cutting-edge AI technology company.
Architect and build Perplexity's Legal and Operations Engineering platform — a coherent stack of agents, workflows, and evaluation infrastructure that replaces manual, high-volume legal work across commercial contracting, e-discovery, enterprise redlining, subsidiary governance, vendor onboarding, and litigation and matter management.
Own the enterprise contracting automation system end-to-end.
Ship the in-product legal surfaces built on Perplexity and Computer itself
Consolidate today's ad-hoc legal bots, prompts, and scripts into a documented, observable, and reusable platform with clear conventions for personas, tools, evals, guardrails, and human-in-the-loop patterns.
Serve as the technical partner to the General Counsel. Translate complex, judgment-heavy legal workflows into engineered systems, and translate engineering constraints back to non-technical stakeholders.
Evaluate, retire, or replace third-party tools where a purpose-built internal system gives us a structural advantage.
Be the case study for forward-deployed engineering in non-engineering functions at Perplexity. Success here becomes the playbook for Legal, Recruiting, People, Workplace, and Operations.
3+ years of backend software engineering experience with a track record of shipping production systems at meaningful scale.
A working knowledge of legal concepts, with some experience in legal operations or paralegal work is desired.
Strong business judgment and practical problem-solving; comfortable making operational calls with incomplete information and calibrating risk in real time.
Track record building scalable processes and foundational systems from scratch, not maintaining a mature function.
Fluency with modern legal tech and AI tools; disciplined human-in-the-loop practices.
Excellent written and verbal communication; ability to work directly with senior legal, finance, and executive stakeholders.
Entrepreneurial drive, intellectual curiosity, and agility to thrive in an ambiguous, fast-moving environment.
Prior experience at an AI-native, SaaS, or consumer technology company operating at Perplexity’s pace.
Familiarity with e-billing platforms (e.g., Brightflag), matter management, CLM, and entity management systems.
Comfort with ambiguity, rapid context-switching, and a builder mentality.
Perplexity is revolutionizing how people discover and interact with information through AI-powered search and knowledge tools. As we expand our global footprint, we're establishing a strategic presence in London to drive innovation and growth across Europe.
The Role:
We're seeking an exceptional Site Lead to establish and scale our London office. This is a unique opportunity to shape Perplexity's presence in one of the world's leading tech hubs, building teams and culture from the ground up while driving technical excellence in infrastructure and AI systems.
As Site Lead, you'll serve as the face of Perplexity in London, responsible for building our technical organization, fostering a world-class engineering culture, and directly managing one or more infrastructure teams. You'll report to senior leadership and work cross-functionally with teams across our global footprint.
The individual in this role will manage teams in LON themselves while also facilitating.
Responsibilities:
Site Leadership & Culture
Establish and lead Perplexity's London office, setting the cultural foundation and operating principles
Build a collaborative, high-performance engineering culture that aligns with Perplexity's values while embracing the strengths of the London tech ecosystem
Serve as the primary point of contact for all London-based activities and represent the site in company-wide strategic discussions
Partner with People/HR, Finance, and Operations to ensure seamless site operations
Drive local community engagement, partnerships, and Perplexity's brand presence in the London and European tech community
Technical Leadership:
Directly manage and mentor one or more infrastructure or AI infrastructure teams in London (5-15+ engineers)
Set technical direction and strategy for London-based infrastructure initiatives in alignment with company-wide goals
Drive architectural decisions and technical excellence across teams
Ensure robust systems for deployment, monitoring, scalability, and reliability of infrastructure supporting AI/ML workloads
Collaborate with engineering leaders globally to align on technical standards, best practices, and cross-site initiatives
Team Building & Talent:
Build and scale high-performing infrastructure and AI infrastructure teams through strategic hiring
Develop and execute talent acquisition strategy for the London site in partnership with recruiting
Create career development frameworks and growth opportunities for engineers
Foster technical mentorship and knowledge sharing across teams and sites
Cross-functional Collaboration:
Partner with Product, Engineering, and Research teams globally to understand infrastructure needs and deliver solutions
Coordinate with other site leads and engineering leaders to ensure effective cross-site collaboration
Contribute to company-wide infrastructure strategy and roadmap planning
Facilitate knowledge transfer and best practice sharing across global teams
Qualifications:
Required
10+ years of experience in software engineering with 5+ years in infrastructure, cloud infrastructure, or AI infrastructure roles
3+ years of people management experience, including building and scaling teams
Proven track record of establishing or significantly growing an engineering site or office
Deep technical expertise in distributed systems, cloud platforms (AWS, GCP, or Azure), and infrastructure automation
Experience with infrastructure supporting large-scale AI/ML systems, including:
GPU infrastructure and orchestration
ML training and inference pipelines
Model serving and deployment at scale
Strong understanding of modern infrastructure technologies: Kubernetes, Terraform, container orchestration, CI/CD systems
Demonstrated ability to set technical vision and drive execution across multiple teams
Excellent communication and stakeholder management skills
Experience working in fast-paced, high-growth technology companies
Passion for building inclusive, diverse, and high-performing teams
Preferred
Experience at companies focused on AI/ML, search, or large-scale consumer applications
Previous experience as a site lead, office lead, or similar multi-team leadership role
Background in building infrastructure for LLM training or inference
Contributions to open-source infrastructure or AI infrastructure projects
Experience scaling teams from 0 to 20+ engineers
Active involvement in the London or European tech community
MBA or advanced technical degree
What Success Looks Like:
30 Days
Deep understanding of Perplexity's infrastructure, technology stack, and organizational structure
Established relationships with key stakeholders across engineering, product, and leadership
Initial hiring plan and culture strategy for London site established
Help the Search, API, AI and Infra teams build out their hiring pipelines
90 Days
Core infrastructure team established and ramping in London
Clear technical roadmap and priorities defined for London-based teams
Site culture and operating rhythms established (team meetings, all-hands, cross-site syncs)
London office actively participating in company-wide infrastructure initiatives
1 Year
London site operating as a high-functioning hub with 15-30+ engineers
Infrastructure teams delivering measurable impact on system reliability, performance, and scalability
Strong talent brand established in London market with healthy hiring pipeline
London recognized internally as a strategic site contributing to Perplexity's technical leadership
Why Join Perplexity
Ground-floor opportunity to build and lead a strategic site for a fast-growing AI company
Work on cutting-edge AI infrastructure challenges at massive scale
Shape the culture and technical direction of an entire office
Competitive compensation including equity
Comprehensive benefits package
Flexible work environment
Opportunity to make a significant impact on how millions of people access and interact with information
Location: London, United Kingdom (Hybrid)
Perplexity is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
","descriptionPlain":"Perplexity is revolutionizing how people discover and interact with information through AI-powered search and knowledge tools. As we expand our global footprint, we're establishing a strategic presence in London to drive innovation and growth across Europe.\n\nThe Role:\n\nWe're seeking an exceptional Site Lead to establish and scale our London office. This is a unique opportunity to shape Perplexity's presence in one of the world's leading tech hubs, building teams and culture from the ground up while driving technical excellence in infrastructure and AI systems.\n\nAs Site Lead, you'll serve as the face of Perplexity in London, responsible for building our technical organization, fostering a world-class engineering culture, and directly managing one or more infrastructure teams. You'll report to senior leadership and work cross-functionally with teams across our global footprint.\n\n \n\nThe individual in this role will manage teams in LON themselves while also facilitating.\n\n \n\nResponsibilities:\n\nSite Leadership & Culture\n\n - Establish and lead Perplexity's London office, setting the cultural foundation and operating principles\n\n - Build a collaborative, high-performance engineering culture that aligns with Perplexity's values while embracing the strengths of the London tech ecosystem\n\n - Serve as the primary point of contact for all London-based activities and represent the site in company-wide strategic discussions\n\n - Partner with People/HR, Finance, and Operations to ensure seamless site operations\n\n - Drive local community engagement, partnerships, and Perplexity's brand presence in the London and European tech community\n\n \n\nTechnical Leadership:\n\n - Directly manage and mentor one or more infrastructure or AI infrastructure teams in London (5-15+ engineers)\n\n - Set technical direction and strategy for London-based infrastructure initiatives in alignment with company-wide goals\n\n - Drive architectural decisions and technical excellence across teams\n\n - Ensure robust systems for deployment, monitoring, scalability, and reliability of infrastructure supporting AI/ML workloads\n\n - Collaborate with engineering leaders globally to align on technical standards, best practices, and cross-site initiatives\n\n \n\nTeam Building & Talent:\n\n - Build and scale high-performing infrastructure and AI infrastructure teams through strategic hiring\n\n - Develop and execute talent acquisition strategy for the London site in partnership with recruiting\n\n - Create career development frameworks and growth opportunities for engineers\n\n - Foster technical mentorship and knowledge sharing across teams and sites\n\n \n \n\nCross-functional Collaboration:\n\n - Partner with Product, Engineering, and Research teams globally to understand infrastructure needs and deliver solutions\n\n - Coordinate with other site leads and engineering leaders to ensure effective cross-site collaboration\n\n - Contribute to company-wide infrastructure strategy and roadmap planning\n\n - Facilitate knowledge transfer and best practice sharing across global teams\n\nQualifications:\n\nRequired\n\n - 10+ years of experience in software engineering with 5+ years in infrastructure, cloud infrastructure, or AI infrastructure roles\n\n - 3+ years of people management experience, including building and scaling teams\n\n - Proven track record of establishing or significantly growing an engineering site or office\n\n - Deep technical expertise in distributed systems, cloud platforms (AWS, GCP, or Azure), and infrastructure automation\n\n - Experience with infrastructure supporting large-scale AI/ML systems, including:\n\n - GPU infrastructure and orchestration\n\n - ML training and inference pipelines\n\n - Model serving and deployment at scale\n\n - Strong understanding of modern infrastructure technologies: Kubernetes, Terraform, container orchestration, CI/CD systems\n\n - Demonstrated ability to set technical vision and drive execution across multiple teams\n\n - Excellent communication and stakeholder management skills\n\n - Experience working in fast-paced, high-growth technology companies\n\n - Passion for building inclusive, diverse, and high-performing teams\n\nPreferred\n\n - Experience at companies focused on AI/ML, search, or large-scale consumer applications\n\n - Previous experience as a site lead, office lead, or similar multi-team leadership role\n\n - Background in building infrastructure for LLM training or inference\n\n - Contributions to open-source infrastructure or AI infrastructure projects\n\n - Experience scaling teams from 0 to 20+ engineers\n\n - Active involvement in the London or European tech community\n\n - MBA or advanced technical degree\n\nWhat Success Looks Like:\n\n30 Days\n\n - Deep understanding of Perplexity's infrastructure, technology stack, and organizational structure\n\n - Established relationships with key stakeholders across engineering, product, and leadership\n\n - Initial hiring plan and culture strategy for London site established\n\n - Help the Search, API, AI and Infra teams build out their hiring pipelines\n\n \n\n90 Days\n\n - Core infrastructure team established and ramping in London\n\n - Clear technical roadmap and priorities defined for London-based teams\n\n - Site culture and operating rhythms established (team meetings, all-hands, cross-site syncs)\n\n - London office actively participating in company-wide infrastructure initiatives\n\n \n\n1 Year\n\n - London site operating as a high-functioning hub with 15-30+ engineers\n\n - Infrastructure teams delivering measurable impact on system reliability, performance, and scalability\n\n - Strong talent brand established in London market with healthy hiring pipeline\n\n - London recognized internally as a strategic site contributing to Perplexity's technical leadership\n\n \n\nWhy Join Perplexity\n\n - Ground-floor opportunity to build and lead a strategic site for a fast-growing AI company\n\n - Work on cutting-edge AI infrastructure challenges at massive scale\n\n - Shape the culture and technical direction of an entire office\n\n - Competitive compensation including equity\n\n - Comprehensive benefits package\n\n - Flexible work environment\n\n - Opportunity to make a significant impact on how millions of people access and interact with information\n\nLocation: London, United Kingdom (Hybrid) \n\nPerplexity is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees."},{"id":"d38e4b28-6ced-46b0-bb58-37ba49776e77","title":"Sr. Technical Recruiter (London)","department":"People","team":"People","employmentType":"FullTime","location":"London","secondaryLocations":[],"publishedAt":"2026-08-13T16:26:30.100+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"","addressCountry":"United Kingdom","addressLocality":"London"}},"jobUrl":"https://jobs.ashbyhq.com/perplexity/d38e4b28-6ced-46b0-bb58-37ba49776e77","applyUrl":"https://jobs.ashbyhq.com/perplexity/d38e4b28-6ced-46b0-bb58-37ba49776e77/application","descriptionHtml":"At Perplexity AI, we are building products that push the boundaries of how people find, reason, and learn information. The scale and speed of our mission demand a team that thrives in environments of rapid iteration and constant discovery. As a Recruiter, you will be at the forefront of shaping the talent foundation that fuels our growth.
This is not a traditional Recruiting role. We are looking for a builder with strong technical grounding, a genuine passion for the craft of sourcing, and the ability to operate with creativity and precision in an environment where constant change and ambiguity is the norm. You will partner closely with hiring managers, and engineers to identify, engage, and inspire world-class talent, helping build a team capable of solving some of the most challenging problems in AI today. Just as importantly, you will use AI to automate and augment your own workflow, treating sourcing as a system to be engineered rather than a set of manual tasks.
What You'll Do
Full-cycle recruitment for engineering and research roles across EMEA Search, AI and Infrastructure
Build outbound first pipelines: advanced research, talent mapping across frontier labs and academia, referrals, AI-assisted automation, and creative outreach
Partner with hiring managers and engineers to calibrate profiles with accuracy and nuance, and to sharpen the bar as our teams evolve
Act as a candidate's first introduction to Perplexity, telling an authentic and compelling story about our mission, product, and culture
Track and analyze pipeline data to continuously improve sourcing strategy, and build your own tooling where off-the-shelf falls short
Operate with agility as priorities shift hard-to-fill roles, new pillars, and compressed timelines are the norm
What You Bring
4 years of full-cycle technical recruiting experience
A sourcing-first track record: you fill hard roles through outbound and talent mapping
Strong technical literacy comfortable, holding credible conversations with senior engineers
A builder's instinct for AI: eager to adopt new tools, automate your own workflow, and experiment with how AI can make recruiting faster and sharper
Excellent communication and relationship-building skills with candidates, hiring managers, and cross-functional partners
A mindset that thrives on curiosity, iteration, and impact, aligned with Perplexity's ethos of building what has never been built before
Perplexity is seeking an experienced Machine Learning Engineer to improve search quality across the middle and later stages of ranking. We are looking for a strong ranking generalist who can own ambiguous problems end to end and brings exceptional depth in either neural ranking or production ranking systems.
Responsibilities
Push search quality forward through models, data, evaluation, infrastructure, or any other leverage available.
Own ranking-quality problems end to end: define the evaluation, identify the bottleneck, build the solution, and ship it safely.
Train and evaluate retrieval, ranking, and classification models, including neural and LLM-based approaches where appropriate.
Build and operate ranking infrastructure, including feature computation, low-latency inference, multi-stage cascades, deployment, and monitoring.
Make sound trade-offs across quality, latency, reliability, cost, and engineering complexity.
Collaborate across Data, AI, Infrastructure, and Product while retaining ownership of the final quality outcome.
Qualifications
Deep understanding of search or recommender systems and their evaluation.
Proven ownership of a large-scale production ranking system or a substantial class of quality problems.
Strong machine learning and software engineering skills across data, models, serving, and monitoring.
Ability to drive ambiguous, cross-team problems without continuous task decomposition.
Exceptional depth in either modern neural ranking methods or low-latency ranking systems and runtime.
Perplexity is revolutionizing search. We are seeking a Writer to join our team and work closely with Growth, Enterprise, Support, and Product. You will lead our content strategy, development, and copywriting. We want to create a brand that — if you want to build the foundation of content from 0 to 1, have a passion for AI, and love writing, this role is for you.
Responsibilities
Create exceptional and captivating content across Consumer and Enterprise use cases, including email copy, social media posts, in-product copy, support pages, FAQs, video scripts, case studies, white papers, outbound emails, onboarding guides, and blog posts
Develop a unique voice and tone for written content at Perplexity that drives word-of-mouth growth and builds an engaged following
Identify content opportunities and novel ways to engage with our user base by leveraging user generated content in Perplexity and testimonials across social media
Synthesize complex AI-related topics and feature releases into understandable and digestible copy for a non-technical audience
Manage content calendars for external communication across email, newsletter, and social media
Track content performance via Google Analytics and internal data; analyze and optimize engagement metrics of your content
Work closely with our Design and Brand teams to adhere to current guidelines
Qualifications
4+ years of content writing and strategy experience, ideally at a consumer technology brand
World-class writing, editing, and proofreading skills with a unique voice and tone
Extreme attention to detail paired without sacrificing fast-paced execution
0-to-1 development of B2B content marketing, newsletters, blogs, and company content
Experience with international brands and multiple languages
At Perplexity, we are building products that push the boundaries of how people find, reason, and learn information. The scale and speed of our mission demand a team that thrives in environments of rapid iteration and constant discovery. As a Technical Sourcer, you will be at the forefront of shaping the talent foundation that fuels our growth.
The role of a Sourcer has changed in the world of recruiting and AI today–we’re looking for someone who has strong foundations in sourcing but is already ahead of the curve in redefining this function.
Grit: You know your pipelines inside & out. You understand where you need to build momentum and how much horsepower to put behind it.
Taste: You have a deep understanding of the tech landscape–knowing which companies hold high talent bars to what’s going to be the “next big thing” in the industry (before anyone else sees it coming).
Experiment: Every role and search is different, and your approach isn’t a one-size-fits-all. One role you might be running SOBOs, another you’ll dive deep into authors of published papers from top conferences.
Research, identify, and engage engineering and technical talent across multiple disciplines and experience levels
Use a wide range of sourcing strategies, including advanced research, talent mapping, referrals, AI-assisted automation, and creative outreach, to build strong candidate pipelines.
Collaborate with recruiters and hiring teams to deeply understand technical requirements and calibrate profiles with accuracy and nuance
Track and analyze pipeline data to drive continuous optimization and improvements in sourcing approaches
Operate with agility, adapting quickly to shifting priorities, hard-to-fill roles, and changing team needs
Exceptional technical literacy, comfortable navigating complex technical conversations, parsing nuanced skill sets, and understanding the architecture of software and AI roles
Proven experience sourcing talent in highly dynamic and fast-paced environments where priorities shift and ambiguity is constant
A builder's instinct for AI: eager to adopt new tools, automate your own workflow, and experiment with how AI can make sourcing faster and sharper
Creativity and resilience: the ability to design novel sourcing strategies, test new methods, and adapt quickly when faced with challenges
Excellent communication skills, with the ability to build trust and develop relationships with both candidates and internal partner teams
A mindset that thrives on curiosity, iteration, and impact, aligned with Perplexity AI's ethos of building what has never been built before
Summary of Role
Perplexity AI is looking for a Principal Counsel, Corporate to serve as the company’s primary lawyer for corporate governance, equity, and financing matters. In this role, you’ll own the full corporate legal lifecycle, from board and stockholder governance and equity administration to financings, secondary transactions, and entity management as we scale globally. You’ll work closely with our Finance, Accounting, Tax and People teams, as well as with our executive team and investors. You’ll drive transactions from term sheet through closing, build the governance infrastructure that keeps a rapidly growing private company well-run, and stand up the templates, playbooks, and records systems that let corporate work scale without adding headcount. The ideal candidate brings deep private-company corporate and securities experience, precision with cap-table and equity mechanics, and the judgment to make principled calls independently.
This is a high-impact, hands-on role for a corporate attorney who thrives in fast-paced environments, is comfortable being the first and only owner of a workstream, and is excited to help build a best-in-class legal function at one of the most consequential AI companies in the world.
Key Responsibilities
Lead corporate governance for Perplexity and its subsidiaries, including board and committee meeting preparation, agendas, minutes, resolutions and written consents, charters, organizational documents, corporate policies, and the corporate records that keep the company well-governed as it scales.
Structure, draft, and negotiate equity and debt financings from term sheet through closing, including preferred stock financings, credit facilities, convertible instruments, and related diligence and closing deliverables.
Own secondary transactions and liquidity programs, including tender offers, company repurchases, direct secondaries, transfer approvals and the related stockholder communications and consents.
Partner with Finance, Accounting, Tax and People on equity compensation and cap-table administration, including option and RSU grant processes, 409A valuations, pool sizing and refreshes, fully diluted share reconciliation, and Carta hygiene.
Support M&A, acquihires, strategic investments, and other corporate transactions, including structuring, diligence, definitive agreement negotiation, closing, and post-closing integration, and manage outside counsel to budget and schedule.
Build and scale corporate legal infrastructure, including consent and resolution precedent libraries, grant and vesting exhibit templates, signature and approval workflows, entity management systems, and formation and foreign-qualification processes for domestic and international expansion.
Support corporate readiness workstreams, including audit support, internal controls over corporate approvals, subsidiary governance, and the sequencing of policies and processes that position the company for future financing or public-company requirements.
Monitor legal and market developments affecting private-company governance, equity, and securities matters, and translate them into practical guidance for the executive team and the board.
Qualifications
JD and in good standing with an active US state bar membership, , or eligible to register as in-house counsel in California
At least 9+ years of law firm and/or in-house experience
Track record leading venture or growth equity financings, secondary transactions, and corporate governance for high-growth private technology companies
Deep familiarity with cap-table mechanics, equity compensation administration, and charter and stockholder agreement provisions, with the precision to reconcile numbers before they reach the board
Strong business acumen and ability to partner with finance, accounting, people, and executive stakeholders
An ability to communicate clearly with business and technical audiences and effectively translate legal concepts for non-lawyers
Hands-on attitude to tackle projects large and small, low-ego approach to working across the organization
Positive collaborative attitude, comfort with change and a fast pace, high level of integrity, and intellectual curiosity
Comfortable working in a fast-paced, dynamic environment
Perplexity is looking for an experienced Lead Product Designer to own design for Growth. You'll shape the experiences that bring Perplexity to as many people as possible — making software that feels like the future but can be understood and used by anyone in the world today.
Growth design has its own craft and nuance. You'll own the highest-leverage moments in the user journey: first-run onboarding and activation, consumer acquisition surfaces, conversion and upsell flows, paywalls and pricing, and the retention loops that turn first-time users into daily ones. This is design where a few pixels or a single step can move real numbers, so you'll pair a high craft bar with rigorous experimentation — shipping constantly and letting real data guide the work.
You care about clarity, craft, details, and delight as much as you care about growth and impact. This role is deeply cross-functional: you'll partner closely with our Growth and Product Marketing teams to align on positioning, messaging, and funnel strategy, and you care about everything it takes to make a product great: product, interaction, brand, growth, copywriting, engineering, and marketing.
Lead product design for Growth across the full funnel — acquisition, onboarding, activation, conversion, upsells, and retention
Design first-run and onboarding experiences that get users to value as fast as possible
Craft consumer acquisition and activation surfaces, and conversion/upsell flows including paywalls, pricing, and plan comparison
Partner closely with Growth and Product Marketing on positioning, messaging, landing experiences, and funnel strategy
Design and run experiments, using data and real usage to drive decisions and measure impact
Ship features that balance well-established UI paradigms with novel applications of AI
Think about how to go from 0→1 but also how to make your decisions scale well
Contribute to process so we're always shipping changes you're proud of, as often as possible
Partner with brand design to ensure our growth surfaces are not only effective but memorable
Experience designing consumer or prosumer products, with a strong track record in growth design
Deep understanding of growth nuances: onboarding, activation, acquisition, conversion, upsells, paywalls, pricing, and retention
A data-informed approach — fluent in experimentation, funnels, and metrics, and comfortable learning from usage
Experience partnering with Growth, Product Marketing, and cross-functional teams on messaging and funnel strategy
Comfortable thinking about both 0→1 product design and large-scale optimization
Excellent visual, UI, and interaction skills
An excellent communicator with team members and users
You care about shipping great software more than anything else
5+ years of industry experience
Comfort prototyping or coding your ideas
Some of our design team writes production code — we welcome existing skills or interest in coding with React or SwiftUI
Perplexity is looking for a Lead Product Designer to own the design of our enterprise product. You'll design new experiences across enterprise and multiplayer use cases — making software that feels like the future but can be understood and used by anyone in the world today.
These surfaces are net-new and, in many cases, unprecedented. You'll be building them 0→1, which means bringing deep knowledge of how enterprise software actually works: organizational and seat management, and deeply nuanced role-based experiences that account for workplace policy, compliance, administrative management, privacy, permissions, and security. You'll ship features that balance well-established UI paradigms with novel applications of AI, working independently and strategically to find both the problems worth solving and the solutions worth shipping.
Good design that nobody gets to use is wasted, so you'll optimize for getting great software into customers' hands and learning from real usage. You'll work closely with product, engineering, and the broader design team, and you care about everything it takes to make a product great: product, interaction, brand, growth, copywriting, engineering, and marketing.
Design net-new, 0→1 enterprise surfaces across enterprise and general multiplayer use cases
Design for the realities of enterprise software: organizational management, seat management, admin controls, permissions, privacy, security, and compliance
Craft deeply nuanced role-based experiences that adapt to workplace policy and different levels of access and responsibility
Ship features that balance well-established UI paradigms with novel applications of AI
Make software that feels like the future but can be used and understood by anyone in the world today
Work independently and strategically — finding the problems and the solutions
Own work end-to-end, from 0→1 product design through large-scale optimization
Contribute to process so we're always shipping changes you're proud of, as often as possible
Partner with brand design to ensure the enterprise product is not only useful but memorable
Experience designing enterprise, consumer, or prosumer products
Deep knowledge of enterprise software: organizational and seat management, role-based access, admin management, permissions, privacy, security, and compliance
Experience designing non-deterministic tools used by large workplace cohorts — eg.Figma, Slack, Ramp, Airtable
Comfortable thinking about both 0→1 product design and large-scale optimization
Excellent visual, UI, and interaction skills
An excellent communicator with team members and users
Comfort prototyping or coding your ideas
You care about shipping great software more than anything else
5+ years of industry experience
Some of our design team writes production code — we welcome existing skills or interest in coding with React or SwiftUI
Perplexity is scaling at a pace few companies experience, and the Communications and Marketing team is growing with it. We're hiring a Business Operations Manager to build and run the operating system underneath, so an incredibly busy team can move fast and stay in lockstep.
That means keeping the wheels turning: the tool stack, agencies and vendors, budgets, contracts, and the dashboards leadership relies on. It also means building what doesn't exist yet, and making sure everyone knows what's happening and nothing gets dropped. Half builder, half connective tissue. If you like turning ideas into things people use every day, this role is for you.
What you'll do
Own the marketing and comms tool stack: evaluate, procure, onboard, provision access, train the team, and retire what we've outgrown
Build and maintain internal tools such as calendars, intake forms, dashboards, trackers, and automations, and keep them reliable as more people depend on them
Run the team's operating rhythm: priorities, launch and campaign calendars, planning cycles, and the cross-functional handoffs that carry work from idea to launch without dropped threads
Manage agencies, contractors, and vendors from selection and onboarding through scopes, invoices, renewals, and performance
Keep contracts and procurement moving with Legal and Finance so agreements never become the bottleneck
Be the connective tissue across the team: know who's working on what, spot dependencies early, and keep people aligned without adding meetings
Act as a thought partner and triage point to leadership: keep them informed, spot problems early, know when to escalate, propose solutions, and see them through
Add rigor without slowing anyone down, knowing the difference between process that helps and process that's overhead
What you bring
4-7 years in marketing operations, business operations, or a similar systems-and-process role, ideally in a fast-growing technology company
You build things. You've stood up tools, automations, or dashboards yourself, and AI tools are already part of how you work
Strong analytical instincts, able to turn messy inputs into numbers leadership can trust
Experience managing agency, contractor, or vendor relationships and working with Legal and Finance on contracts and procurement
Exceptionally organized and genuinely relational. People like working with you, tell you things early, and trust you with what's really going on
A clear, direct communicator who can brief an executive, run a cross-functional meeting, and write a process doc people actually follow
Demonstrated experience working closely with and as a trusted partner to senior executives
Comfortable in ambiguity and thinks in scale, building things that hold up when the team, budget, or number of launches doubles
No specific tool stack required. You've operated marketing or comms systems in a high-growth environment and can pick ours up fast
In 2026, we launched Computer, the defining product for the new era of agentic AI. We’ve scaled beyond the millions of people using Perplexity every day for research, shopping, investing and curiosity into a new paradigm of using AI to transform knowledge into action.
As an engineer at Perplexity, your role will be to build products and systems that define how AI empowers humans to think, decide and act. You’ll ship fast and work between both product and infrastructure advancements in our technology.
Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious.
Ownership. You identify the problem, design the solution and ship it.
Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users.
Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products.
Partnership. We amplify each others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence.
Perplexity is looking for a deeply technical software engineer to own and evolve our model serving platform, which is responsible for connecting our products and research systems with our inference layers. This mission-critical system gives teams one fast, reliable interface across providers.
You will work at the intersection of distributed systems, AI products, and infrastructure. You will make it dramatically easier for teams across Perplexity to adopt new models, run rigorous experiments, and ship dependable products.
The ideal candidate combines sound technical judgment forged in production systems with active curiosity around the rapidly changing capabilities and failure modes of frontier models. You will design core abstractions, lead high-conviction technical decisions, and write production Rust and Python for a service that serves hundreds of millions of model requests per day.
5+ years of experience building and shipping large-scale systems and services with high reliability, availability, and performance.
Strong software engineering craft, with special care for developer experience and designing future-proof systems that can evolve along with a rapidly advancing AI landscape.
Proficiency with a general-purpose backend language (Python, Rust, C++, Go) and cloud infrastructure (AWS, Kubernetes).
BS, MS, or PhD in Computer Science, Engineering, or related fields (or equivalent experience).
Perplexity is seeking an Applied AI Architect to help our customers turn Perplexity Computer into working solutions that drive measurable impact. This role is ideal for technical, consultative professionals who have led complex software implementations and can move comfortably between customer discovery, solution design, hands-on delivery, and executive communication.
About the role
Perplexity Computer is a new class of AI system that navigates tools, interacts with applications, and completes multi-step workflows end to end. Our customers are using Computer to transform work that traditional software has not been able to address.
Applied AI Architects work directly with customers across presales, onboarding, adoption, and strategic engagements. You will uncover the real business problem, determine what Computer can credibly support, design and configure the workflow, and lead the engagement to a clear outcome.
This is a hands-on, customer-facing role at the intersection of solutions architecture, technical consulting, and program delivery. You will work closely with Sales and Customer Success while serving as a quality filter for requests that require Product or Engineering.
What you'll do
Lead technical discovery. Work with customer business leaders, technical teams, account executives, and customer success managers to understand the users, current workflow, desired outcome, constraints, and decision-makers.
Design credible solutions. Map how people, data, tools, approvals, permissions, and decisions interact, then determine how Computer can support the workflow.
Support complex opportunities. Partner with account executives on technical deal strategy, demos, proofs of value, architecture and security coordination, and engagement scoping.
Drive value-backed consumption. Identify high-value, repeatable workflows; define the expected business outcomes and usage patterns; and partner with Sales and Customer Success to move customers from technical validation to sustained production use and expansion.
Build hands-on. Configure, prototype, test, and iterate on Computer skills and workflows, including connectors, permissions, and adjacent tooling.
Accelerate onboarding and adoption. Provide second-level technical consultation to customer success managers and deliver bounded technical work when customer needs exceed standard Customer Success coverage.
Run strategic engagements. Establish scope, customer commitments, milestones, success criteria, working cadence, and exit criteria, then lead the work through closure.
Improve technical escalation. Validate product and engineering needs and produce decision-ready requests with clear evidence, constraints, impact, and acceptance criteria.
Turn every engagement into leverage. Convert repeated customer needs into reusable workflows, implementation patterns, demos, guidance, and product feedback.
What we're looking for
The strongest Applied AI Architects combine technical depth, consultative problem solving, and disciplined engagement delivery. You should be comfortable working hands-on with the product, advising customer executives, and managing the details required to deliver a successful outcome.
Must-haves
5+ years in a customer-facing technical role such as solutions architecture, senior sales engineering, AI implementation, forward deployed work, technical consulting, or technical program leadership.
Proven consultative discovery skills. You can turn an ambiguous request into a clear business problem, technical approach, and delivery plan.
Hands-on technical fluency. You are comfortable with APIs, integrations, authentication, identity, permissions, connectors, data flows, and technical troubleshooting.
Experience delivering complex implementations. You have managed scope, stakeholders, milestones, risk, expectations, and closure.
Strong solution judgment. You can distinguish education, configuration, implementation, support, product, and engineering problems and recommend the right path.
Commercial and consumption awareness. You can connect solution design and technical decisions to time to value, usage, credit consumption, customer economics, and expansion potential.
Executive-credible communication. You can explain technical trade-offs to senior decision-makers while working effectively with practitioners and engineers.
High agency in ambiguity. You can establish direction without waiting for perfect requirements, challenge weak assumptions, and make thoughtful decisions quickly.
AI-native working style. You use frontier models and AI tools regularly and have developed strong intuition for what current systems can and cannot do reliably.
Nice-to-haves
Experience deploying agents or multi-step LLM workflows in complex enterprise environments.
Experience with Computer, MCP, enterprise identity, security, permissions, or workflow orchestration.
Experience in regulated or workflow-intensive industries such as legal, financial services, healthcare, or technology.
Prior forward deployed engineering, Applied AI, deployment strategist, solutions architecture, or technical consulting experience at an AI or enterprise software company.
A track record of turning customer implementations into reusable technical assets or product improvements.
Perplexity AI is looking for a sharp, entrepreneurial litigation attorney to join our small legal team to help advance the business, protect the products we are building, and revolutionize the way people search and interact with the internet. This unique role offers significant responsibility, direct ownership of high stakes matters, and growth potential across an in-house practice group.
This is a unique role within a rapidly growing AI technology company. You will play a key role in safeguarding Perplexity’s interests by managing litigation files and pre-litigation disputes related to our AI answer engine, models, and technologies, while helping to build and scale our litigation function. You will oversee complex disputes in a fast-moving and often unsettled legal landscape, spanning intellectual property (including copyright), privacy, commercial, and regulatory matters, and you will work closely with our AI, engineering, and product teams to assess legal risk, develop litigation strategy, and provide guidance during disputes involving our products and services.
The ideal candidate combines deep substantive knowledge of litigation practice and procedure with strong business judgment and practical problem-solving abilities. You are comfortable confronting novel legal issues, including questions where the rules are still being written, and you bring intellectual curiosity about AI technology, adaptability in an emerging landscape, and exceptional collaboration skills. Success in this role requires a deep understanding of high-growth startup environments, where you will pair traditional legal expertise with sharp business risk assessment. We are seeking someone who is inquisitive, has an entrepreneurial drive, and the agility to thrive in our fast-paced environment.
Manage litigation matters and pre-litigation disputes across all phases, including strategy, pleadings, motions, discovery, depositions, hearings, trials, and appeals, while developing comprehensive case strategies that align with business objectives.
Provide counsel across a broad range of disputes, including intellectual property (copyright, trademark, and trade secret), privacy, commercial, and regulatory matters, in both first-party and third-party contexts.
Evaluate and respond to litigation threats, demands, and disputes across jurisdictions, developing appropriate matter-resolution proposals that resolve issues with minimal disruption to the business.
Select, onboard, manage, and collaborate with outside counsel across all stages of disputes. Negotiate budgets and fee arrangements, monitor performance, and hold outside counsel accountable for delivering optimal results while maintaining cost efficiency.
Partner closely with AI, product, and engineering teams to proactively identify litigation risks in product development and go-to-market strategies, and to collect information efficiently in support of active matters. Translate complex legal requirements into practical, actionable guidance for technical teams.
Assist in responding to regulatory investigations and inquiries from government regulators and private organizations relating to our products and services.
Build internal litigation processes, policies, and tools, including legal-hold and discovery workflows, that support litigation and regulatory matters efficiently and can scale with company growth.
Monitor the evolving legal and regulatory landscape for AI, copyright, and privacy; translate court decisions, agency guidance, and legislative developments into timely, executive-ready advice; and communicate with business leaders about ongoing litigation, emerging risks, and preventive measures.
JD and in good standing with an active US state bar membership (California preferred)
At least 15+ years of law firm and/or in-house experience handling complex commercial litigation (with experience representing emerging technology companies preferred)
Deep substantive knowledge of litigation practice and procedure, with a demonstrated history of strong outcomes and effective case execution
Exceptional analytical, organizational, and collaboration skills, strong business acumen, and the ability to partner with business and technical teams
An ability to communicate clearly and credibly with business and technical audiences, including translating genuinely unsettled legal doctrine into concise, business-relevant advice for executives and engineers without over-hedging
Hands-on attitude to tackle projects large and small, and a low-ego, roll-up-your-sleeves approach to working across the organization
Excellent composure in stressful situations, high level of integrity, intellectual curiosity, and the ability to work independently with limited guidance while exercising good judgment about when to escalate
Thrive working in a fast-paced, dynamic environment
Experience managing copyright and privacy litigation, as well as commercial disputes, for AI or other emerging technology companies
Experience managing regulatory responses or investigations, including both first-party and third-party responses
Experience building or scaling a litigation function at a growth-stage company, with creativity and an openness to novel solutions
Experience litigating cases in multiple jurisdictions, including internationally
A passion for supporting the development of AI that is both innovative and trustworthy
We are seeking a Strategic Finance Lead for our GPU compute fleet. In this role, you will be a key partner to our inference and infrastructure teams, providing financial expertise to optimize our compute investments and drive capacity decisions.
In this role, you'll develop deep expertise in the economics of AI compute, from token-level serving cost to the long-range financial planning of our GPU fleet. You'll build the models that inform Perplexity's capacity and make-versus-buy decisions, own the internal-cost analysis that underpins internal and external token pricing, and translate complex infrastructure dynamics into clear financial narratives for leadership.
This is a high-impact role for someone who thrives at the intersection of finance and infrastructure, and who is energized by building frameworks from scratch in a fast-moving environment.
This position is based in San Francisco and requires in-person attendance 2-3 days per week.
Finance lead for GPU compute spend, including budgeting, monthly forecasting, variance analysis, and financial plan maintenance
Build and maintain detailed bottoms-up financial models for the GPU fleet, including capacity forecasts, cost driver analyses, and investment scenario modeling
Develop deep expertise in GPU vendor contracts, pricing structures, and cost drivers, and surface optimization opportunities across the fleet
Serve as subject matter expert for Perplexity's compute capacity plan, owning source of truth on utilization, committed-versus-consumed spend, and capacity by vendor and cluster
Build internal token-cost curves distinguishing marginal from fully loaded serving cost, and translate them into internal and external token pricing
Analyze the ROI of in-house inference and training, including opportunity cost across chip types, cluster configurations, and workloads, distilled into a framework for capacity deployment
Partner closely with inference and infrastructure engineering to understand how serving and training workloads scale, and translate those technical dynamics into financial frameworks
Exceptional analytical skills with an ability to synthesize data into compelling insights and develop complex financial operating models
Extraordinary problem-solving and critical thinking abilities to develop new frameworks for assessing utilization and capital efficiency in a rapidly evolving industry
Attention to detail and patience for getting to the source of truth on complex and interconnected contract and usage data
Comfort being the finance person in the room with engineering leads and vendor counterparts, and adept at communicating complex financial information to non-finance audiences
A proven track record of partnering with technical teams to drive financial optimization initiatives, building enough trust to become indispensable to their roadmap and resourcing decisions
A bias toward action, strong work ethic, and experience driving operational outcomes under tight timelines
Background in AI, ML, or high-performance, large-scale computing infrastructure, including data centers and cloud service providers
4+ years of experience in strategic finance, infrastructure investment, private equity, growth equity, consulting, or investment banking, preferably with infrastructure or datacenter experience
Experience in cloud or GPU infrastructure financial management, including direct work with major cloud service providers or neoclouds
Direct experience with committed-use economics — reserved capacity, savings plans, committed-use discounts — and GPU procurement
Deep expertise in GPU vendor economics, contract structures, and pricing models
Experience with chip architecture economics and optimization strategies
Proficiency with financial modeling tools
We are seeking a Strategic Finance Lead to help lead the economics of our AI products. In this role, you will be a key partner to our product, inference, and data teams, providing financial expertise to optimize model spend and drive pricing and margin decisions.
In this role, you'll develop deep expertise in the unit economics of AI products, from per-request serving cost to consolidated product-level margin across our portfolio. You'll build the models that inform Perplexity's pricing, packaging, and model-deployment decisions, own the product-margin methodology that reconciles revenue and inference cost from production data, and translate complex model economics into clear financial narratives for leadership.
This is a high-impact role for someone who thrives at the intersection of finance and AI product strategy, and who is energized by building frameworks from scratch in a fast-moving environment.
This position is based in San Francisco and requires in-person attendance 2-3 days per week.
Finance lead for inference and model spend, including budgeting, monthly forecasting, variance analysis, and financial plan maintenance
Build and maintain product-margin models across the product portfolio, reconciling revenue, serving cost, and gross margin from production usage data
Develop deep expertise in model provider contracts, pricing structures, and cost drivers, and surface optimization opportunities across the model portfolio and routing mix
Serve as subject matter expert for product unit economics, owning source of truth on cost per request, margin by product and tier, and customer-segment and feature-level economics
Own the consolidated model-cost forecast, translating product roadmaps and model transitions into forward-looking spend and margin trajectories
Analyze the margin impact of pricing, packaging, and model-deployment decisions, distilled into a framework for product and pricing strategy
Partner closely with product, inference, and data engineering to understand how usage and serving cost scale, and translate those technical dynamics into financial frameworks
Exceptional analytical skills with an ability to synthesize data into compelling insights and develop complex financial operating models
Extraordinary problem-solving and critical thinking abilities to develop new frameworks for assessing product margin and unit economics in a rapidly evolving industry
Attention to detail and patience for getting to the source of truth on complex and interconnected usage, revenue, and cost data
Comfort working cross-functionally and are adept at communicating complex financial information to non-finance audiences
Sound commercial judgment across pricing, packaging, discounting, and the tradeoffs between growth and margin
A proven track record of partnering with technical and product teams to drive financial optimization initiatives
A bias toward action, strong work ethic, and experience driving operational outcomes under tight timelines
Background in AI, ML, or consumption-based business models with complex cost structures
4+ years of experience in strategic finance, private equity, growth equity, consulting, or investment banking, preferably with software or AI product experience
Experience in AI or LLM product financial management, including direct work with model providers or inference platforms
Deep expertise in usage-based pricing, subscription economics, and gross-margin and COGS attribution by customer and model family
Experience with model serving economics, including how latency, throughput, and token usage flow through to margin performance
Proficiency with financial modeling tools
Perplexity is looking for a technical program manager to be the connective tissue between our model providers, engineering, and product teams, driving our core inference platform forward.
Perplexity runs one of the highest-throughput inference stacks in the industry, serving Ask, Computer, and API traffic across a large and constantly shifting portfolio of first-party and third-party models. This role sits at the intersection of product, engineering, and finance: you'll orchestrate across model providers and internal teams to keep new models and capacity moving smoothly into production, while executing the roadmap for the inference platform itself. The ideal candidate has strong technical judgment, thrives coordinating across teams and external partners with competing timelines, and is energized by building the operating model for a function that doesn't have much precedent yet.
Perplexity's mission is to power curiosity. Curious people are the people who drive change in the world. Driving change is a continuous cycle of learning, building, and integrating.
Learn: curious people constantly learn new things by asking more. They question the status quo in their own expertise and they constantly learn outside of it. Research is essential to them and never ending.
Build: curious people make and create things, to show the world their new answers to problems no one else ever questioned. They take action on what they've learned. Makers need tools to create their products, their companies, their reality.
Integrate: they must interact with the world as it is to drive change and adoption. True leaders do not simply build something and hope. They must have armies of agents and workers who can constantly work in millions of small ways.
Execute the roadmap for the inference platform request handling, rate limits and quotas, usage controls, and the reliability and observability surface engineering and product teams depend on
Be the connective tissue between model providers and Perplexity's engineering and product teams coordinating onboarding, launch readiness, and rollout for new models and capacity
Drive latency, throughput, uptime, and cost-efficiency as core execution metrics, surfacing tradeoffs between them rather than letting them become side effects
Run the operating model for model-release and optimization programs, including day-zero launches, across performance engineering, infrastructure, and product teams
Lead cross-functional delivery for inference-stack changes, from planning through launch and post-launch validation
Build the mechanisms that make releases predictable rituals, dashboards, launch checklists so inference releases stay low-risk at Perplexity's scale
Partner with GPU capacity and compute teams to reconcile execution decisions against cost, capacity, and vendor constraints
Strong experience with technical program management or product management in infrastructure, distributed systems, or ML/model-serving products
Direct experience with production LLM or ML inference understanding what makes serving fast, reliable, and cheap rather than just what a roadmap slide says about it
Comfort orchestrating across external partners and internal engineering teams with competing priorities and timelines
Experience with data and metrics, and the judgment to surface difficult tradeoffs between latency, throughput, uptime, and cost
Thrives in a small, agile team; has initiative and desire for ownership without much precedent to lean on
6+ years of combined technical program management or product management experience
In 2026, we launched Computer, the defining product for the new era of agentic AI. We’ve scaled beyond the millions of people using Perplexity every day for research, shopping, investing and curiosity into a new paradigm of using AI to transform knowledge into action.
Product Managers at Perplexity work closely with design and engineering, focusing on the native mobile experiences that bring agentic AI and search into people’s everyday lives. The ideal candidate should have strong communication and writing skills, the ability to envision innovative technology, and a willingness to reimagine work to be more efficient and creative. Ideal candidates have deep experience building exceptional mobile products: in the application, please highlight the mobile apps or platform experiences you are most proud of shipping.
The Mobile Apps team owns the end-to-end Perplexity experience across iOS and Android. This includes how users discover and onboard into the product, search and take action on the go, use voice, camera, notifications, widgets, and other native capabilities, manage subscriptions and preferences, and return to ongoing work across devices.
You will identify the highest-leverage mobile user problems, translate them into clear product direction, and partner closely with design, engineering, data science, and research to deliver experiences that feel fast, intuitive, cohesive, and dependable. This role requires strong product judgment, deep user empathy, analytical rigor, fluency in mobile platform constraints and opportunities, and an exceptional eye for detail.
Anticipate opportunities for innovation and value in how people use AI on mobile.
Envision new mobile experiences and deliver a long-term vision across iOS and Android.
Understand the levers for mobile product-led growth, engagement, and retention.
Work closely with engineering and design to align product expectations with native platform capabilities and constraints.
Work with research to evaluate and steer nondeterministic models into high-value outcomes for mobile users.
Have conviction to make difficult product decisions in the face of uncertainty.
Develop a deep understanding of mobile user needs, behaviors, and friction through direct product use, qualitative research, product data, and experimentation.
Make complex AI behavior understandable and controllable on small screens through clear interaction models, thoughtful defaults, and well-designed feedback.
Drive alignment when improvements span iOS, Android, web, backend systems, or multiple teams.
Communicate product decisions, tradeoffs, progress, and learnings clearly to leadership and cross-functional partners.
Strong experience with product management and leadership.
Strong experience working with data and metrics.
Experience shipping and scaling high-quality consumer mobile products across iOS or Android.
Deep understanding of native mobile interaction patterns, platform capabilities, performance, and reliability.
Experience with rapid mobile prototyping, experimentation, and data visualization.
Experience building data-driven flywheels for iterative improvement.
Thrives in a small, agile team: has initiative and desire for ownership.
4+ years of product management experience.
Perplexity's mission is to power curiosity. Curious people are the people who drive change in the world. Driving change is a continuous cycle of learning, building, and integrating.
Learn: curious people constantly learn new things by asking more. They question the status quo in their own expertise and they constantly learn outside of it. Research is essential to them and never ending.
Build: curious people make and create things, to show the world their new answers to problems no one else ever questioned. They take action on what they've learned. Makers need tools to create their products, their companies, their reality.
Integrate: they must interact with the world as it is to drive change and adoption. True leaders do not simply build something and hope. They must have armies of agents and workers who can constantly work in millions of small ways.
Repeat. For curious people this is a cycle that never ends.
","descriptionPlain":"In 2026, we launched Computer, the defining product for the new era of agentic AI. We’ve scaled beyond the millions of people using Perplexity every day for research, shopping, investing and curiosity into a new paradigm of using AI to transform knowledge into action.\n\nProduct Managers at Perplexity work closely with design and engineering, focusing on the native mobile experiences that bring agentic AI and search into people’s everyday lives. The ideal candidate should have strong communication and writing skills, the ability to envision innovative technology, and a willingness to reimagine work to be more efficient and creative. Ideal candidates have deep experience building exceptional mobile products: in the application, please highlight the mobile apps or platform experiences you are most proud of shipping.\n\n\n\n\nTHE ROLE\n\nThe Mobile Apps team owns the end-to-end Perplexity experience across iOS and Android. This includes how users discover and onboard into the product, search and take action on the go, use voice, camera, notifications, widgets, and other native capabilities, manage subscriptions and preferences, and return to ongoing work across devices.\n\n\n\nYou will identify the highest-leverage mobile user problems, translate them into clear product direction, and partner closely with design, engineering, data science, and research to deliver experiences that feel fast, intuitive, cohesive, and dependable. This role requires strong product judgment, deep user empathy, analytical rigor, fluency in mobile platform constraints and opportunities, and an exceptional eye for detail.\n\n\n\n\nWHAT YOU'LL DO\n\n - Anticipate opportunities for innovation and value in how people use AI on mobile.\n\n - Envision new mobile experiences and deliver a long-term vision across iOS and Android.\n\n - Understand the levers for mobile product-led growth, engagement, and retention.\n\n - Work closely with engineering and design to align product expectations with native platform capabilities and constraints.\n\n - Work with research to evaluate and steer nondeterministic models into high-value outcomes for mobile users.\n\n - Have conviction to make difficult product decisions in the face of uncertainty.\n\n - Develop a deep understanding of mobile user needs, behaviors, and friction through direct product use, qualitative research, product data, and experimentation.\n\n - Make complex AI behavior understandable and controllable on small screens through clear interaction models, thoughtful defaults, and well-designed feedback.\n\n - Drive alignment when improvements span iOS, Android, web, backend systems, or multiple teams.\n\n - Communicate product decisions, tradeoffs, progress, and learnings clearly to leadership and cross-functional partners.\n\n\n\n\nQUALIFICATIONS\n\n - Strong experience with product management and leadership.\n\n - Strong experience working with data and metrics.\n\n - Experience shipping and scaling high-quality consumer mobile products across iOS or Android.\n\n - Deep understanding of native mobile interaction patterns, platform capabilities, performance, and reliability.\n\n - Experience with rapid mobile prototyping, experimentation, and data visualization.\n\n - Experience building data-driven flywheels for iterative improvement.\n\n - Thrives in a small, agile team: has initiative and desire for ownership.\n\n - 4+ years of product management experience.\n\n\nOUR MISSION\n\n\n\nPerplexity's mission is to power curiosity. Curious people are the people who drive change in the world. Driving change is a continuous cycle of learning, building, and integrating.\n\n\n\nLearn: curious people constantly learn new things by asking more. They question the status quo in their own expertise and they constantly learn outside of it. Research is essential to them and never ending.\n\n\n\nBuild: curious people make and create things, to show the world their new answers to problems no one else ever questioned. They take action on what they've learned. Makers need tools to create their products, their companies, their reality.\n\n\n\nIntegrate: they must interact with the world as it is to drive change and adoption. True leaders do not simply build something and hope. They must have armies of agents and workers who can constantly work in millions of small ways.\n\n\n\nRepeat. For curious people this is a cycle that never ends."},{"id":"6f3c5131-2efa-400c-8248-44203a4dbfbb","title":"Product Manager, Core Experience","department":"Product Management","team":"Product Management","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[{"location":"New York City","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York City"}}}],"publishedAt":"2026-09-02T16:40:29.905+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/perplexity/6f3c5131-2efa-400c-8248-44203a4dbfbb","applyUrl":"https://jobs.ashbyhq.com/perplexity/6f3c5131-2efa-400c-8248-44203a4dbfbb/application","descriptionHtml":"In 2026, we launched Computer, the defining product for the new era of agentic AI. We’ve scaled beyond the millions of people using Perplexity every day for research, shopping, investing and curiosity into a new paradigm of using AI to transform knowledge into action.
Product Managers at Perplexity work closely with design and engineering, focusing on the core agentic and search experiences. The ideal candidate should have strong communication and writing skills, the ability to envision innovative technology, and willingness to reimagine work to be more efficient and creative. Ideal candidates have a passion in a particular industry that they are domain experts in: in the application please highlight which industry you are most interested in innovating.
The Core Experience team owns the foundational interactions that define how people use Perplexity every day. This includes how users begin and continue work, understand what the product is doing, navigate and find what they need, manage their context and preferences, collaborate with others, and return to ongoing work across platforms.
You will identify the highest-leverage user problems, translate them into clear product direction, and partner closely with design, engineering, data science, and research to deliver experiences that feel fast, intuitive, cohesive, and dependable. This role requires strong product judgment, deep user empathy, analytical rigor, and an exceptional eye for detail.
Anticipate opportunities for innovation and value in enterprise industries.
Envision new experiences and deliver a long-term vision.
Understanding of levers for product-led growth and retention.
Work closely with engineering and design to align product expectations and capabilities.
Work with research to evaluate and steer nondeterministic models into the high value outcomes for users.
Have conviction to make difficult product decisions in the face of uncertainty.
Develop a deep understanding of user needs, behaviors, and friction through direct product use, qualitative research, product data, and experimentation.
Make complex AI behavior understandable and controllable through clear interaction models, thoughtful defaults, and well-designed feedback.
Drive alignment when improvements span multiple product surfaces, platforms, or teams.
Communicate product decisions, tradeoffs, progress, and learnings clearly to leadership and cross-functional partners.
Strong experience with product management and leadership.
Strong experience working with data and metrics.
Experience with productivity and knowledge work products.
Experience with prototyping and data visualization.
Experience with building data driven flywheels for iterative improvement.
Thrives in a small, agile team: has initiative and desire for ownership.
4+ years of product management experience.
Perplexity's mission is to power curiosity. Curious people are the people who drive change in the world. Driving change is a continuous cycle of learning, building, and integrating.
Learn: curious people constantly learn new things by asking more. They question the status quo in their own expertise and they constantly learn outside of it. Research is essential to them and never ending.
Build: curious people make and create things, to show the world their new answers to problems no one else ever questioned. They take action on what they've learned. Makers need tools to create their products, their companies, their reality.
Integrate: they must interact with the world as it is to drive change and adoption. True leaders do not simply build something and hope. They must have armies of agents and workers who can constantly work in millions of small ways.
Repeat. For curious people this is a cycle that never ends.
","descriptionPlain":"In 2026, we launched Computer, the defining product for the new era of agentic AI. We’ve scaled beyond the millions of people using Perplexity every day for research, shopping, investing and curiosity into a new paradigm of using AI to transform knowledge into action.\n\nProduct Managers at Perplexity work closely with design and engineering, focusing on the core agentic and search experiences. The ideal candidate should have strong communication and writing skills, the ability to envision innovative technology, and willingness to reimagine work to be more efficient and creative. Ideal candidates have a passion in a particular industry that they are domain experts in: in the application please highlight which industry you are most interested in innovating.\n\n\n\n\nTHE ROLE\n\nThe Core Experience team owns the foundational interactions that define how people use Perplexity every day. This includes how users begin and continue work, understand what the product is doing, navigate and find what they need, manage their context and preferences, collaborate with others, and return to ongoing work across platforms.\n\n\n\nYou will identify the highest-leverage user problems, translate them into clear product direction, and partner closely with design, engineering, data science, and research to deliver experiences that feel fast, intuitive, cohesive, and dependable. This role requires strong product judgment, deep user empathy, analytical rigor, and an exceptional eye for detail.\n\n\n\n\nWHAT YOU'LL DO\n\n - Anticipate opportunities for innovation and value in enterprise industries.\n\n - Envision new experiences and deliver a long-term vision.\n\n - Understanding of levers for product-led growth and retention.\n\n - Work closely with engineering and design to align product expectations and capabilities.\n\n - Work with research to evaluate and steer nondeterministic models into the high value outcomes for users.\n\n - Have conviction to make difficult product decisions in the face of uncertainty.\n\n - Develop a deep understanding of user needs, behaviors, and friction through direct product use, qualitative research, product data, and experimentation.\n\n - Make complex AI behavior understandable and controllable through clear interaction models, thoughtful defaults, and well-designed feedback.\n\n - Drive alignment when improvements span multiple product surfaces, platforms, or teams.\n\n - Communicate product decisions, tradeoffs, progress, and learnings clearly to leadership and cross-functional partners.\n\n\n\n\nQUALIFICATIONS\n\n\n\n - Strong experience with product management and leadership.\n\n - Strong experience working with data and metrics.\n\n - Experience with productivity and knowledge work products.\n\n - Experience with prototyping and data visualization.\n\n - Experience with building data driven flywheels for iterative improvement.\n\n - Thrives in a small, agile team: has initiative and desire for ownership.\n\n - 4+ years of product management experience.\n\n\n\n\nOUR MISSION\n\nPerplexity's mission is to power curiosity. Curious people are the people who drive change in the world. Driving change is a continuous cycle of learning, building, and integrating.\n\nLearn: curious people constantly learn new things by asking more. They question the status quo in their own expertise and they constantly learn outside of it. Research is essential to them and never ending.\n\nBuild: curious people make and create things, to show the world their new answers to problems no one else ever questioned. They take action on what they've learned. Makers need tools to create their products, their companies, their reality.\n\nIntegrate: they must interact with the world as it is to drive change and adoption. True leaders do not simply build something and hope. They must have armies of agents and workers who can constantly work in millions of small ways.\n\n\n\nRepeat. For curious people this is a cycle that never ends."},{"id":"7f880194-7276-4b46-8a50-58b48da8882e","title":"Product Manager, AI Capabilities","department":"Product Management","team":"Product Management","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[{"location":"New York City","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York City"}}}],"publishedAt":"2026-09-02T16:40:37.215+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/perplexity/7f880194-7276-4b46-8a50-58b48da8882e","applyUrl":"https://jobs.ashbyhq.com/perplexity/7f880194-7276-4b46-8a50-58b48da8882e/application","descriptionHtml":"In 2026, we launched Computer, the defining product for the new era of agentic AI. We’ve scaled beyond the millions of people using Perplexity every day for research, shopping, investing and curiosity into a new paradigm of using AI to transform knowledge into action.
Product Managers at Perplexity work closely with design and engineering, focusing on the foundational AI capabilities that make our products more powerful, extensible, collaborative, and useful. The ideal candidate should have strong communication and writing skills, the ability to envision innovative technology, and a willingness to reimagine work to be more efficient and creative. Ideal candidates have a passion for turning frontier AI capabilities into coherent products: in the application, please highlight the AI systems, platforms, or workflows you are most interested in advancing.
The AI Capabilities team owns the product structures that turn intelligence into repeatable, composable experiences. This includes Skills that teach Computer how to work, collaboration that helps people and agents build together, artifact generation that turns ideas into polished outputs, and Projects that organize context, knowledge, and ongoing work.
You will take these capabilities to the next level by identifying the highest-leverage user and platform problems, translating them into clear product direction, and partnering closely with design, engineering, data science, and research to deliver experiences that feel powerful, understandable, extensible, and dependable. This role requires strong product judgment, deep user empathy, analytical rigor, fluency in agentic systems, and an exceptional ability to turn technical primitives into products people can use.
Anticipate opportunities for innovation and value in reusable, composable AI capabilities.
Envision and deliver a long-term vision for Skills, collaboration, artifact generation, and Projects.
Understand the levers for capability discovery, adoption, reuse, sharing, and ecosystem growth.
Work closely with engineering and design to align product expectations with model, tool, and platform capabilities.
Work with research to evaluate and steer nondeterministic models, tools, and agents into high-value outcomes for users.
Have conviction to make difficult product decisions in the face of uncertainty.
Develop a deep understanding of how individuals and teams create, customize, collaborate, and build repeatable workflows with AI.
Make complex AI behavior understandable and controllable through clear interaction models, thoughtful defaults, permissions, and well-designed feedback.
Drive alignment when capabilities span Computer, Search, Projects, artifacts, connectors, or multiple teams.
Communicate product decisions, tradeoffs, progress, and learnings clearly to leadership and cross-functional partners.
Strong experience with product management and leadership.
Strong experience working with data and metrics.
Experience building AI-native productivity, collaboration, platform, or developer-facing products.
Experience with agentic systems, tool use, evaluations, extensibility, or workflow orchestration.
Experience with rapid prototyping and designing systems that produce high-quality artifacts.
Experience building data-driven flywheels for iterative improvement.
Thrives in a small, agile team: has initiative and desire for ownership.
4+ years of product management experience.
Perplexity's mission is to power curiosity. Curious people are the people who drive change in the world. Driving change is a continuous cycle of learning, building, and integrating.
Learn: curious people constantly learn new things by asking more. They question the status quo in their own expertise and they constantly learn outside of it. Research is essential to them and never ending.
Build: curious people make and create things, to show the world their new answers to problems no one else ever questioned. They take action on what they've learned. Makers need tools to create their products, their companies, their reality.
Integrate: they must interact with the world as it is to drive change and adoption. True leaders do not simply build something and hope. They must have armies of agents and workers who can constantly work in millions of small ways.
Repeat. For curious people this is a cycle that never ends.
","descriptionPlain":"In 2026, we launched Computer, the defining product for the new era of agentic AI. We’ve scaled beyond the millions of people using Perplexity every day for research, shopping, investing and curiosity into a new paradigm of using AI to transform knowledge into action.\n\nProduct Managers at Perplexity work closely with design and engineering, focusing on the foundational AI capabilities that make our products more powerful, extensible, collaborative, and useful. The ideal candidate should have strong communication and writing skills, the ability to envision innovative technology, and a willingness to reimagine work to be more efficient and creative. Ideal candidates have a passion for turning frontier AI capabilities into coherent products: in the application, please highlight the AI systems, platforms, or workflows you are most interested in advancing.\n\n\n\n\nTHE ROLE\n\nThe AI Capabilities team owns the product structures that turn intelligence into repeatable, composable experiences. This includes Skills that teach Computer how to work, collaboration that helps people and agents build together, artifact generation that turns ideas into polished outputs, and Projects that organize context, knowledge, and ongoing work.\n\n\n\nYou will take these capabilities to the next level by identifying the highest-leverage user and platform problems, translating them into clear product direction, and partnering closely with design, engineering, data science, and research to deliver experiences that feel powerful, understandable, extensible, and dependable. This role requires strong product judgment, deep user empathy, analytical rigor, fluency in agentic systems, and an exceptional ability to turn technical primitives into products people can use.\n\n\n\n\nWHAT YOU'LL DO\n\n - Anticipate opportunities for innovation and value in reusable, composable AI capabilities.\n\n - Envision and deliver a long-term vision for Skills, collaboration, artifact generation, and Projects.\n\n - Understand the levers for capability discovery, adoption, reuse, sharing, and ecosystem growth.\n\n - Work closely with engineering and design to align product expectations with model, tool, and platform capabilities.\n\n - Work with research to evaluate and steer nondeterministic models, tools, and agents into high-value outcomes for users.\n\n - Have conviction to make difficult product decisions in the face of uncertainty.\n\n - Develop a deep understanding of how individuals and teams create, customize, collaborate, and build repeatable workflows with AI.\n\n - Make complex AI behavior understandable and controllable through clear interaction models, thoughtful defaults, permissions, and well-designed feedback.\n\n - Drive alignment when capabilities span Computer, Search, Projects, artifacts, connectors, or multiple teams.\n\n - Communicate product decisions, tradeoffs, progress, and learnings clearly to leadership and cross-functional partners.\n\n\n\n\nQUALIFICATIONS\n\n - Strong experience with product management and leadership.\n\n - Strong experience working with data and metrics.\n\n - Experience building AI-native productivity, collaboration, platform, or developer-facing products.\n\n - Experience with agentic systems, tool use, evaluations, extensibility, or workflow orchestration.\n\n - Experience with rapid prototyping and designing systems that produce high-quality artifacts.\n\n - Experience building data-driven flywheels for iterative improvement.\n\n - Thrives in a small, agile team: has initiative and desire for ownership.\n\n - 4+ years of product management experience.\n\n\n\n\nOUR MISSION\n\nPerplexity's mission is to power curiosity. Curious people are the people who drive change in the world. Driving change is a continuous cycle of learning, building, and integrating.\n\nLearn: curious people constantly learn new things by asking more. They question the status quo in their own expertise and they constantly learn outside of it. Research is essential to them and never ending.\n\nBuild: curious people make and create things, to show the world their new answers to problems no one else ever questioned. They take action on what they've learned. Makers need tools to create their products, their companies, their reality.\n\nIntegrate: they must interact with the world as it is to drive change and adoption. True leaders do not simply build something and hope. They must have armies of agents and workers who can constantly work in millions of small ways.\n\n\n\nRepeat. For curious people this is a cycle that never ends."},{"id":"fa088d92-b08b-43f7-9232-275b0ae08827","title":"Product Manager, Growth","department":"Product Management","team":"Product Management","employmentType":"FullTime","location":"New York City","secondaryLocations":[],"publishedAt":"2026-09-02T16:40:35.506+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York City"}},"jobUrl":"https://jobs.ashbyhq.com/perplexity/fa088d92-b08b-43f7-9232-275b0ae08827","applyUrl":"https://jobs.ashbyhq.com/perplexity/fa088d92-b08b-43f7-9232-275b0ae08827/application","descriptionHtml":"In 2026, we launched Computer, the defining product for the new era of agentic AI. We’ve scaled beyond the millions of people using Perplexity every day for research, shopping, investing and curiosity into a new paradigm of using AI to transform knowledge into action.
Product Managers at Perplexity work closely with design and engineering, focusing on the product systems and experiences that help more people discover, adopt, and get lasting value from Perplexity. The ideal candidate should have strong communication and writing skills, the ability to envision innovative technology, and a willingness to reimagine work to be more efficient and creative. Ideal candidates combine product intuition with analytical rigor: in the application, please highlight the growth problems, experiments, or loops you are most proud of building.
What you’ll do
Drive activation, repeat usage, and paid conversion across web, mobile, and desktop.
Build and iterate the levers that move them: upsells, onboarding, upgrade flows, lifecycle, and design new agent-driven growth loops.
Grow adoption of new products and cross-platform conversion: identify the optimal set of users, surfaces, and moments to introduce them, and drive repeat usage.
Ship a high volume of experiments, from hypothesis and metric design through analysis, and turn the learnings into roadmap bets that grow our metrics.
Analyze funnels, cohorts, and segments to find the highest-leverage opportunities and define the metrics behind them.
Protect product quality while improving conversion, holding guardrails on retention, support volume, and margin.
Write crisp specs and experiment briefs and drive execution across engineering, design, data, and marketing.
Qualifications
2–4 years of total work experience with a strong academic record.
~2 years in investment banking or consulting, followed by startup experience in a growth, product or founder role.
Fluent in SQL, comfortable with experiment design and statistical readouts.
Comfortable owning many parallel experiments and moving between analysis, spec-writing, and shipping in the same week.
Thrives in ambiguity where processes are still being defined.
Nice to have
Direct experience with A/B testing and experimentation platforms (Eppo, Statsig, Optimizely, or in-house equivalents).
Experience with subscription and usage-based billing products, paywalls, or paid upgrade experimentation.
Experience shipping across web and native mobile surfaces.
Perplexity's mission is to power curiosity. Curious people are the people who drive change in the world. Driving change is a continuous cycle of learning, building, and integrating.
Learn: curious people constantly learn new things by asking more. They question the status quo in their own expertise and they constantly learn outside of it. Research is essential to them and never ending.
Build: curious people make and create things, to show the world their new answers to problems no one else ever questioned. They take action on what they've learned. Makers need tools to create their products, their companies, their reality.
Integrate: they must interact with the world as it is to drive change and adoption. True leaders do not simply build something and hope. They must have armies of agents and workers who can constantly work in millions of small ways.
Repeat. For curious people this is a cycle that never ends.
","descriptionPlain":"In 2026, we launched Computer, the defining product for the new era of agentic AI. We’ve scaled beyond the millions of people using Perplexity every day for research, shopping, investing and curiosity into a new paradigm of using AI to transform knowledge into action.\n\nProduct Managers at Perplexity work closely with design and engineering, focusing on the product systems and experiences that help more people discover, adopt, and get lasting value from Perplexity. The ideal candidate should have strong communication and writing skills, the ability to envision innovative technology, and a willingness to reimagine work to be more efficient and creative. Ideal candidates combine product intuition with analytical rigor: in the application, please highlight the growth problems, experiments, or loops you are most proud of building.\n\n\n\nWhat you’ll do\n\n - Drive activation, repeat usage, and paid conversion across web, mobile, and desktop.\n\n - Build and iterate the levers that move them: upsells, onboarding, upgrade flows, lifecycle, and design new agent-driven growth loops.\n\n - Grow adoption of new products and cross-platform conversion: identify the optimal set of users, surfaces, and moments to introduce them, and drive repeat usage.\n\n - Ship a high volume of experiments, from hypothesis and metric design through analysis, and turn the learnings into roadmap bets that grow our metrics.\n\n - Analyze funnels, cohorts, and segments to find the highest-leverage opportunities and define the metrics behind them.\n\n - Protect product quality while improving conversion, holding guardrails on retention, support volume, and margin.\n\n - Write crisp specs and experiment briefs and drive execution across engineering, design, data, and marketing.\n\nQualifications\n\n\n\n - 2–4 years of total work experience with a strong academic record.\n\n - ~2 years in investment banking or consulting, followed by startup experience in a growth, product or founder role.\n\n - Fluent in SQL, comfortable with experiment design and statistical readouts.\n\n - Comfortable owning many parallel experiments and moving between analysis, spec-writing, and shipping in the same week.\n\n - Thrives in ambiguity where processes are still being defined.\n\nNice to have\n\n - Direct experience with A/B testing and experimentation platforms (Eppo, Statsig, Optimizely, or in-house equivalents).\n\n - Experience with subscription and usage-based billing products, paywalls, or paid upgrade experimentation.\n\n - Experience shipping across web and native mobile surfaces.\n\n\n\n\nOUR MISSION\n\nPerplexity's mission is to power curiosity. Curious people are the people who drive change in the world. Driving change is a continuous cycle of learning, building, and integrating.\n\nLearn: curious people constantly learn new things by asking more. They question the status quo in their own expertise and they constantly learn outside of it. Research is essential to them and never ending.\n\nBuild: curious people make and create things, to show the world their new answers to problems no one else ever questioned. They take action on what they've learned. Makers need tools to create their products, their companies, their reality.\n\nIntegrate: they must interact with the world as it is to drive change and adoption. True leaders do not simply build something and hope. They must have armies of agents and workers who can constantly work in millions of small ways.\n\n\n\nRepeat. For curious people this is a cycle that never ends."},{"id":"182ab2ec-6fb1-409b-a2dc-63c7832b0a13","title":"Product Manager, SMB Growth","department":"Product Management","team":"Product Management","employmentType":"FullTime","location":"New York City","secondaryLocations":[],"publishedAt":"2026-09-02T16:40:40.894+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York City"}},"jobUrl":"https://jobs.ashbyhq.com/perplexity/182ab2ec-6fb1-409b-a2dc-63c7832b0a13","applyUrl":"https://jobs.ashbyhq.com/perplexity/182ab2ec-6fb1-409b-a2dc-63c7832b0a13/application","descriptionHtml":"In 2026, we launched Computer, the defining product for the new era of agentic AI. We’ve scaled beyond the millions of people using Perplexity every day for research, shopping, investing and curiosity into a new paradigm of using AI to transform knowledge into action.
Product Managers at Perplexity work closely with design and engineering, focusing on the product systems and experiences that help more people discover, adopt, and get lasting value from Perplexity. The ideal candidate should have strong communication and writing skills, the ability to envision innovative technology, and a willingness to reimagine work to be more efficient and creative. Ideal candidates combine product intuition with analytical rigor: in the application, please highlight the growth problems, experiments, or loops you are most proud of building.
What you’ll do
Work with select SMB customers to build and test frontier agent capabilities that run their revenue-generating workflows.
Prioritize the highest-value workflows to automate and build the skills, evals, and agent systems that make them reliable and performant.
Turn customer learnings into product requirements for connectors, skills, and agent capabilities, and partner with cross-functional product teams to build.
Drive SMB acquisition through personalized demos, case studies, and paid and lifecycle channels, measured on acquisition targets and CAC.
Drive usage expansion across our existing SMB base through personalized onboarding, lifecycle, and product growth levers.
Work with partnerships and growth marketing teams to design, execute, and package customer case studies to distribute across paid, organic, and partner channels.
Qualifications
2–4 years of total work experience with a strong academic record.
2 years in investment banking, strategy consulting, or a comparable high-intensity analytical role, followed by some operating experience.
You've run, or worked closely alongside, real marketing workflows: paid social, lifecycle, CRO, or SEO. You know what \"great\" looks like to an operator.
You already use agents to automate complex processes and are comfortable writing prompts, skills, and building end-to-end agent systems.
Strong written and verbal communication; comfortable running a working relationship with customers.
Comfortable with SQL. You can pull your own cohorts, validate your own segments, and build your own dashboard & reporting systems.
Operates at high velocity. You ship daily and thrive in fast-paced, early-stage environments where processes are still being defined.
Nice to have
Direct experience with Shopify, Klaviyo, Meta Ads Manager, TikTok Ads, or similar operator tools.
Experience in a forward-deployed, solutions, or customer-facing product role.
Perplexity's mission is to power curiosity. Curious people are the people who drive change in the world. Driving change is a continuous cycle of learning, building, and integrating.
Learn: curious people constantly learn new things by asking more. They question the status quo in their own expertise and they constantly learn outside of it. Research is essential to them and never ending.
Build: curious people make and create things, to show the world their new answers to problems no one else ever questioned. They take action on what they've learned. Makers need tools to create their products, their companies, their reality.
Integrate: they must interact with the world as it is to drive change and adoption. True leaders do not simply build something and hope. They must have armies of agents and workers who can constantly work in millions of small ways.
Repeat. For curious people this is a cycle that never ends.
","descriptionPlain":"In 2026, we launched Computer, the defining product for the new era of agentic AI. We’ve scaled beyond the millions of people using Perplexity every day for research, shopping, investing and curiosity into a new paradigm of using AI to transform knowledge into action.\n\nProduct Managers at Perplexity work closely with design and engineering, focusing on the product systems and experiences that help more people discover, adopt, and get lasting value from Perplexity. The ideal candidate should have strong communication and writing skills, the ability to envision innovative technology, and a willingness to reimagine work to be more efficient and creative. Ideal candidates combine product intuition with analytical rigor: in the application, please highlight the growth problems, experiments, or loops you are most proud of building.\n\n\n\nWhat you’ll do\n\n - Work with select SMB customers to build and test frontier agent capabilities that run their revenue-generating workflows.\n\n - Prioritize the highest-value workflows to automate and build the skills, evals, and agent systems that make them reliable and performant.\n\n - Turn customer learnings into product requirements for connectors, skills, and agent capabilities, and partner with cross-functional product teams to build.\n\n - Drive SMB acquisition through personalized demos, case studies, and paid and lifecycle channels, measured on acquisition targets and CAC.\n\n - Drive usage expansion across our existing SMB base through personalized onboarding, lifecycle, and product growth levers.\n\n - Work with partnerships and growth marketing teams to design, execute, and package customer case studies to distribute across paid, organic, and partner channels.\n \n\nQualifications \n\n\n - 2–4 years of total work experience with a strong academic record.\n\n - 2 years in investment banking, strategy consulting, or a comparable high-intensity analytical role, followed by some operating experience.\n\n - You've run, or worked closely alongside, real marketing workflows: paid social, lifecycle, CRO, or SEO. You know what \"great\" looks like to an operator.\n\n - You already use agents to automate complex processes and are comfortable writing prompts, skills, and building end-to-end agent systems.\n\n - Strong written and verbal communication; comfortable running a working relationship with customers.\n\n - Comfortable with SQL. You can pull your own cohorts, validate your own segments, and build your own dashboard & reporting systems.\n\n - Operates at high velocity. You ship daily and thrive in fast-paced, early-stage environments where processes are still being defined. \n \n\nNice to have\n\n - Direct experience with Shopify, Klaviyo, Meta Ads Manager, TikTok Ads, or similar operator tools.\n\n - Experience in a forward-deployed, solutions, or customer-facing product role.\n\n\nOUR MISSION\n\nPerplexity's mission is to power curiosity. Curious people are the people who drive change in the world. Driving change is a continuous cycle of learning, building, and integrating.\n\nLearn: curious people constantly learn new things by asking more. They question the status quo in their own expertise and they constantly learn outside of it. Research is essential to them and never ending.\n\nBuild: curious people make and create things, to show the world their new answers to problems no one else ever questioned. They take action on what they've learned. Makers need tools to create their products, their companies, their reality.\n\nIntegrate: they must interact with the world as it is to drive change and adoption. True leaders do not simply build something and hope. They must have armies of agents and workers who can constantly work in millions of small ways.\n\n\n\nRepeat. For curious people this is a cycle that never ends."},{"id":"76e72775-69db-4aea-b03b-a87d5a589f58","title":"Virtual Events Manager","department":"Marketing & Communications","team":"Marketing & Communications","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[{"location":"New York City","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York City"}}}],"publishedAt":"2026-09-02T23:46:55.115+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/perplexity/76e72775-69db-4aea-b03b-a87d5a589f58","applyUrl":"https://jobs.ashbyhq.com/perplexity/76e72775-69db-4aea-b03b-a87d5a589f58/application","descriptionHtml":"Perplexity is revolutionizing how companies get work done. We are seeking a Virtual Events Manager to build the channel that shows people what our products can do and teaches them how to use them. You will develop a deep working knowledge of our products, turn that knowledge into compelling live experiences, and own the programs that convert audiences into active users and qualified pipeline.
This role has two sides. You are a charismatic host and product storyteller who can command a virtual room, and you are the operator who keeps every event on the rails. You will find and prepare the right experts from across Perplexity, work with Growth to build the audience, and measure whether each program produced a real business return.
If you have a passion for understanding how things work, thrive in taking something complex and making it engaging, and want to build a world-class virtual events engine from the ground up, this role is for you.
Know the product cold. Develop a deeper working knowledge of our products than anyone else in events, using new features as they ship, building the workflows yourself, and staying close to the teams that built them.
Own virtual events end to end. Run the channel from program strategy and calendar planning through event briefs, speaker staffing, rehearsals, live production, follow-up, and retros. Build a reliable portfolio of onboarding programs, product launches, feature deep-dives, customer conversations, and use-case workshops.
Bring the product to life. Host, moderate, present, and demonstrate the product live with energy and clarity. Turn complex capabilities into specific, accurate stories that audiences can understand and put to work.
Find and prepare the right people. Build relationships across Product, Engineering, Research, Sales, Customer Success, Partnerships, and Marketing to identify the strongest speakers and subject-matter experts for each program. Brief them thoroughly, sharpen their stories, and make sure they are ready to deliver.
Build the audience. Partner with Growth, Lifecycle, Social, Comms, Sales, and Customer Success on full-funnel promotion plans that drive qualified registrations. Track pacing closely, identify gaps early, and run experiments across audience, creative, channel mix, timing, and follow-up.
Turn every event into an engine. Extend the value of each program through recordings, replays, clips, FAQs, demo flows, education materials, and sales follow-up. Build formats and templates that make the next event faster and better.
Measure outcomes, not just outputs. Instrument the funnel from registration through attendance, engagement, product activation, qualified pipeline, and revenue. Track cost per registration, cost per attendee, cost per qualified attendee, sourced and influenced pipeline, and channel ROI, then use the findings to improve the portfolio.
Build the operating system. Create the intake process, master calendar, production checklists, run-of-show templates, speaker bench, readiness gates, contingency plans, scorecards, and reporting cadence required to scale the channel without lowering quality.
3+ years of experience in virtual events, product marketing, customer education, demand generation, or a related role, ideally within a high-growth technology company, or work that proves the skill regardless of title.
Proven ability to learn technical products deeply and translate complex capabilities into simple, specific, and accurate live demonstrations.
A polished, credible on-camera presence, with experience hosting, interviewing, moderating, or presenting to professional audiences.
Strong cross-functional instincts and the ability to find, recruit, brief, and coordinate busy experts without relying on formal authority.
Full-funnel growth fluency, including registration strategy, audience segmentation, campaign testing, conversion, and post-event nurture.
Analytical rigor, with experience defining channel metrics, working with CRM and marketing automation data, and calculating return on investment.
Excellent production judgment and attention to detail, including rehearsals, technical readiness, live moderation, and fallback planning.
High slope: you learn unfamiliar products and domains fast, and your rate of improvement is your standout trait.
Extreme comfort delivering clarity in high-velocity, ambiguous environments.
The Infrastructure team builds and operates the foundational systems behind Perplexity’s products. At Perplexity, infrastructure sits on the critical path of every answer, supporting real-time search, retrieval, model serving, and agent workloads where latency, reliability, and rapid iteration directly shape the user experience. This role is for strong infrastructure engineers whose experience spans multiple domains and who are energized by cross-cutting problems that do not fit neatly within a single platform team.
You do not need to be a specialist in every area. Scope ranges from owning major production systems to setting technical direction across teams, leading complex infrastructure programs, and shaping infrastructure strategy across the organization. If a specialized Cloud Infrastructure, Storage Platform, Backend Platform, Data Platform, Connector Platform, or AI Acceleration role clearly matches your expertise and interests, apply directly to it. If your experience spans several infrastructure domains or you are most energized by cross-cutting systems problems, apply here. Submit one application, and we will consider you across the Infrastructure organization.
Own cross-cutting infrastructure problems that span compute, storage, networking, data, deployment, and reliability, including eliminating bottlenecks across retrieval and serving paths, building shared abstractions across deployment environments, and resolving failure modes that cross platform boundaries.
Design, build, and operate distributed infrastructure supporting Perplexity’s consumer, AI, and enterprise workloads, owning systems from architecture through production operation.
Identify gaps between existing platforms and build shared abstractions, automation, and tooling that make infrastructure easier and safer to use.
Improve system performance, availability, scalability, and cost-efficiency across online request traffic and background workloads.
Debug complex production issues across service and infrastructure boundaries, then turn the findings into durable architectural improvements.
Set technical direction for complex infrastructure systems, lead high-impact programs across teams, and establish durable technical standards through collaboration with infrastructure, product, AI, and security partners.
4+ years of professional software engineering experience building and operating production backend, platform, or distributed systems.
A track record of owning complex production systems end to end and delivering sustained technical impact across teams.
Demonstrated ability to set technical direction, lead through influence, and raise the engineering bar through architecture, design reviews, and mentorship.
Strong software engineering skills in Python or other systems or backend languages such as Go, Rust, C++, or Java.
Meaningful experience across at least two infrastructure domains, such as cloud platforms, distributed systems, Kubernetes, storage, databases, networking, data systems, developer infrastructure, or production reliability.
Ability to develop depth quickly in unfamiliar systems, reason across software and infrastructure layers, and drive production incidents from diagnosis through durable resolution.
If you’re excited about this role, we encourage you to apply even if your experience doesn’t match every qualification listed above.
","descriptionPlain":"ABOUT THE ROLE\n\nThe Infrastructure team builds and operates the foundational systems behind Perplexity’s products. At Perplexity, infrastructure sits on the critical path of every answer, supporting real-time search, retrieval, model serving, and agent workloads where latency, reliability, and rapid iteration directly shape the user experience. This role is for strong infrastructure engineers whose experience spans multiple domains and who are energized by cross-cutting problems that do not fit neatly within a single platform team.\n\n\n\nYou do not need to be a specialist in every area. Scope ranges from owning major production systems to setting technical direction across teams, leading complex infrastructure programs, and shaping infrastructure strategy across the organization. If a specialized Cloud Infrastructure, Storage Platform, Backend Platform, Data Platform, Connector Platform, or AI Acceleration role clearly matches your expertise and interests, apply directly to it. If your experience spans several infrastructure domains or you are most energized by cross-cutting systems problems, apply here. Submit one application, and we will consider you across the Infrastructure organization.\n\n\n\n\nKEY RESPONSIBILITIES\n\n - Own cross-cutting infrastructure problems that span compute, storage, networking, data, deployment, and reliability, including eliminating bottlenecks across retrieval and serving paths, building shared abstractions across deployment environments, and resolving failure modes that cross platform boundaries.\n\n - Design, build, and operate distributed infrastructure supporting Perplexity’s consumer, AI, and enterprise workloads, owning systems from architecture through production operation.\n\n - Identify gaps between existing platforms and build shared abstractions, automation, and tooling that make infrastructure easier and safer to use.\n\n - Improve system performance, availability, scalability, and cost-efficiency across online request traffic and background workloads.\n\n - Debug complex production issues across service and infrastructure boundaries, then turn the findings into durable architectural improvements.\n\n - Set technical direction for complex infrastructure systems, lead high-impact programs across teams, and establish durable technical standards through collaboration with infrastructure, product, AI, and security partners.\n\n\n\n\nQUALIFICATIONS\n\n - 4+ years of professional software engineering experience building and operating production backend, platform, or distributed systems.\n\n - A track record of owning complex production systems end to end and delivering sustained technical impact across teams.\n\n - Demonstrated ability to set technical direction, lead through influence, and raise the engineering bar through architecture, design reviews, and mentorship.\n\n - Strong software engineering skills in Python or other systems or backend languages such as Go, Rust, C++, or Java.\n\n - Meaningful experience across at least two infrastructure domains, such as cloud platforms, distributed systems, Kubernetes, storage, databases, networking, data systems, developer infrastructure, or production reliability.\n\n - Ability to develop depth quickly in unfamiliar systems, reason across software and infrastructure layers, and drive production incidents from diagnosis through durable resolution.\n\nIf you’re excited about this role, we encourage you to apply even if your experience doesn’t match every qualification listed above."},{"id":"3163a2c9-f9d3-4596-bf88-0c55298bd027","title":"Enablement Specialist, Perplexity Computer","department":"Sales","team":"Sales","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2026-09-08T19:57:32.903+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/perplexity/3163a2c9-f9d3-4596-bf88-0c55298bd027","applyUrl":"https://jobs.ashbyhq.com/perplexity/3163a2c9-f9d3-4596-bf88-0c55298bd027/application","descriptionHtml":"Perplexity is seeking an Enablement Specialist to help enterprise customers build the knowledge, confidence, and repeatable practices required to reach value with Perplexity Computer. This role is ideal for someone who combines technical fluency, strong facilitation, and a track record of building onboarding and adoption programs that scale.
About the role
Perplexity Computer enables customers to build AI-powered workflows that navigate tools, interact with applications, and complete multi-step work. Helping organizations adopt this new way of working requires more than a product demonstration or one-time kickoff.
Enablement Specialists design and deliver the programs that move customers from initial access to confident, sustained use. You will create onboarding journeys for different levels of readiness, lead customer workshops and office hours, diagnose adoption barriers, and turn repeated questions into scalable guidance.
This is a customer-facing role that works closely with Customer Success, Applied AI Architects, Product, Marketing, and Support. Customer Success retains ownership of the account, adoption strategy, and expansion strategy; you will own the enablement programs and interventions that help customers and customer success managers become self-sufficient.
What you'll do
Design customer journeys. Build onboarding and adoption programs for customers and user cohorts with different roles, goals, technical readiness, and levels of AI experience.
Deliver high-quality enablement. Lead technical kickoffs, workshops, office hours, remote sessions, onsite programs, webinars, and train-the-trainer experiences.
Make complex concepts accessible. Teach Computer and agentic-workflow concepts clearly to both technical and nontechnical audiences.
Guide customers through setup. Help customers understand access, members, permissions, connectors, credits, models, initial workflows, and the practices required to get started.
Diagnose adoption barriers. Determine whether a customer is blocked by knowledge, readiness, process, configuration, product capability, or technical complexity.
Route complex needs well. Recognize when a question requires an Applied AI Architect, Customer Success, Support, Product, or Engineering and provide a clear handoff.
Create scalable assets. Turn repeated onboarding and adoption needs into curricula, customer checklists, implementation guidance, lifecycle communications, videos, examples, and internal enablement.
Use evidence to increase adoption and consumption. Segment customers by readiness and usage behavior, identify where consumption stalls, deliver targeted interventions, and measure activation, time to first value, repeat usage, sustained credit consumption, and program effectiveness.
Build the learning loop. Bring customer patterns and feedback back to Applied AI, Product, Customer Success, Marketing, and Support.
What we're looking for
The strongest Enablement Specialists can teach, diagnose, and design for scale. You should be able to run a compelling customer session, understand the technical details behind a blocker, and build a repeatable program rather than solving the same problem one customer at a time.
Must-haves
4+ years in technical onboarding, customer enablement, implementation, solutions consulting, customer education, or a technically oriented Customer Success role.
Proven program-building experience. You have designed and delivered onboarding, training, or adoption programs across live and self-service formats.
Strong facilitation and communication. You can explain complex product and AI concepts clearly to technical and nontechnical audiences.
Technical fluency. You can guide customers through permissions, connectors, models, credits, workflows, and common integration concepts.
Strong diagnostic judgment. You can determine whether a customer is blocked by education, readiness, process, configuration, product capability, or technical complexity.
Data-informed growth mindset. You have used product and usage data to identify adoption gaps, trigger interventions, move customer cohorts toward sustained use, and evaluate impact.
Cross-functional operating ability. You can work effectively with Customer Success, Sales, Product, Marketing, Support, and technical teams.
High ownership. You set clear expectations, improve weak processes, and operate effectively in a fast-moving environment.
Nice-to-haves
Experience with AI products, agentic workflows, enterprise SaaS, or other technically complex platforms.
Experience building technical onboarding or adoption programs for enterprise customers.
Background in adult learning, instructional design, customer education, or enablement operations.
Experience using product and usage data to trigger interventions and measure activation, time to value, and sustained engagement.
Experience developing customer-facing technical content, workshops, or certification programs.
Perplexity Computer is one of the defining products of the new era of agentic AI. Millions of people use Perplexity to transform knowledge into action, and the Agent Capabilities team sits at the intersection of frontier AI research and product innovation, building the foundations that shape how users and agents solve increasingly complex tasks.
As every major breakthrough in AI models creates new possibilities, the Agent Capabilities team is responsible for turning frontier AI breakthroughs into reusable product capabilities. We are often the first to evaluate emerging model capabilities, determine where they create real user value, and transform them into reliable, scalable, high quality experiences for both users and agents. This is a highly leveraged role with broad ownership at the intersection of frontier AI research, agent systems, platform engineering, and product innovation.
Tech Stack: Python | Go | Rust | PostgreSQL | DynamoDB | AWS | TypeScript
Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious.
Ownership. You identify the problem, design the solution and ship it.
Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users.
Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products.
Partnership. We amplify each others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence.
Evaluate frontier models against real user tasks, identify useful behaviors and failure modes, and turn the most promising advances into production agent systems. Own the lifecycle from rapid prototyping and evaluation through launch, monitoring, and iteration.
Improve agents’ ability to plan, use tools, manage context, recover from errors, and complete long-running tasks reliably.
Apply state of the art ML and LLM techniques to design scalable agent capabilities such as skills, plugins, artifact generation, tools integrate and use, auto-research, and multi-agent collaboration. Shape the architecture, abstractions, and product experiences that enable both users and agents to compose increasingly sophisticated solutions for real-world tasks.
Own agent behavior and capabilities end-to-end, from user-facing products and interfaces to backend services. Define offline and online evaluations for task completion, correctness, safety, latency, cost, and user satisfaction. Iteratively improve across models, prompts, harnesses, and products for different problem spaces.
Build secure, observable, and reliable agent systems, including permissions and safeguards for sensitive actions. Develop tracing, replay, and monitoring infrastructure that makes agent failures reproducible and actionable.
Collaborate closely with PM, Data Science, Research, to identify high-impact opportunities in understanding and validating emerging model capabilities, and turn complex agent behaviors into simple, reliable product experiences.
Apply relevant advances in models, inference, evaluation, and agent architecture when they produce measurable improvements in production performance. Set technical direction on ambiguous problems and raise the bar through design reviews, mentorship, and technical leadership.
Typically 6+ years of professional software engineering experience, with a track record of building and owning robust AI-powered, large-scale, user-facing or data-intensive products. Exceptional candidates with less experience and an outstanding record of impact are encouraged to apply.
Strong software engineering fundamentals, with experience building and operating AI/ML products, backend services, or distributed systems at scale.
Experience owning the AI product lifecycle, including data analysis, rigorous evaluation, production monitoring, and iterative improvement. Able to define metrics and use production data and user feedback to guide decisions.
Practical experience in one or more relevant areas, such as agent harnesses, tool use, context engineering, model evaluation, browser automation, or long-running task execution.
Strong product judgment and execution: you can translate ambiguous user needs into applied AI or ML problems and ship durable solutions with measurable user impact.
Genuine interest in frontier AI capabilities, agent systems, and excitement for rapidly exploring, evaluating, and productizing new model behaviors.
Experience with LLM context engineering or harness engineering, experience with subagents, coding assistants, long-running or autonomous task execution.
Deep familiarity with the strengths and limitations of current model families across reasoning, tool use, context management, and long-horizon tasks.
Experience building agent permissions, safeguards, evaluation infrastructure, or production observability systems.
Experience with mid-training, post-training, or reinforcement learning for frontier or open-source models, along with a strong understanding of model strengths and limitations across reasoning, tool use, context management, and long-horizon tasks.
AI/ML research experience demonstrated through publications, open-source contributions, or other meaningful research impact.
Time spent at a fast-growing startup or on a high-ownership engineering team.
Perplexity's API Platform brings our work in AI, search, and agent orchestration to developers. Our customers range from AI-native startups to some of the world's largest technology companies. Working with them, alongside our own developments in building Perplexity’s core application gives our team direct exposure to how search, models, and tools are used to build and scale AI-native products and applications.
We are looking for a technically fluent Customer Success Manager to help our API customers succeed and shape how we support them as the business grows. You will own a portfolio of customers, understand what they are building, and help them move from evaluation to production and broader adoption.
Alongside your accounts, you will lead projects such as product and endpoint migrations, customer enablement, and communications for product updates and incidents. You will work directly with customers developing AI products and with the engineers building the APIs they depend on. As an early member of the team, you will help shape our customer success programs and bring what you learn from customers into product decisions.
Own customer relationships across onboarding, adoption, retention, and expansion, building trust with developers, technical leaders, and business stakeholders.
Understand each customer's use case, integration, and success criteria. Help them evaluate the APIs, resolve adoption barriers, and establish a path to production.
Use account and product usage data to identify declining adoption, technical risks, and growth opportunities, then work with customers on specific next steps.
Investigate technical questions using API documentation, sample requests, and usage data. Coordinate with Engineering and Support on deeper issues and keep customers informed through resolution.
Lead customer-facing programs such as endpoint migrations, product rollouts, and enablement. Define milestones, coordinate internal owners, and track customer readiness and completion.
Manage customer communications for product changes, deprecations, and outages, partnering with technical teams to provide accurate updates and clear guidance.
Build and improve the API customer success playbook, including onboarding, account reviews, customer health signals, escalation paths, and sales-to-CS handoffs.
Partner with Sales and account owners on renewals and expansion, using adoption, consumption, and business outcomes to demonstrate value and surface risks early.
Bring customer feedback into product planning and work with Developer Relations and Support on documentation and enablement that address recurring needs.
4+ years of experience in customer success, technical account management, solutions engineering, or a related customer-facing role at a technology company.
Technical fluency: comfortable reading API documentation, making API requests, interpreting responses and errors, and discussing integration questions with developers.
A track record of driving adoption, retention, or growth across a portfolio of customers, with clear ownership of follow-through.
Experience creating or improving a customer program, playbook, or cross-functional process, not only operating an established one.
Strong written and verbal communication, including the ability to explain technical issues clearly and communicate carefully when facts are still developing.
Sound judgment in balancing account needs with strategic projects, setting priorities, and moving work forward without a detailed brief.
Experience with APIs, developer tools, cloud infrastructure, or usage-based products.
Familiarity with AI applications, search, retrieval, or agents, including how customers evaluate quality, latency, and cost.
Working knowledge of Python or SQL for reproducing issues, analyzing usage, or automating recurring work.
Perplexity is hiring an experienced Communications & Marketing Recruiter to help build the teams responsible for how our company and products are positioned, launched, explained, and experienced.
You will lead searches across Communications, Marketing, Social, Editorial, Content, Events and related functions. These disciplines require different networks and different ways of evaluating talent. A strong product marketer may need deep technical fluency and launch experience. A communications leader may be judged by the quality of their counsel and writing. A growth marketer needs to show measurable business impact.
This is a hands-on, full-cycle recruiting role. You will work closely with Communications and Marketing leaders to define each search, build the market, assess candidates, and close the people who can raise the quality of the work. You should be comfortable reading portfolios and writing samples, digging into campaign results, and separating individual contribution from team output.
You will also help us use AI more effectively across recruiting. That means applying it to research, talent mapping, outreach, and workflow automation while maintaining a high bar for judgment and candidate experience.
Own full-cycle recruiting across the Communications & Marketing team.
Partner with Communications and Marketing leaders from intake through close. Turn early or ambiguous briefs into clear candidate profiles, interview plans, and sourcing strategies.
Build talent maps across technology companies, consumer brands, enterprise software, media organizations, and agencies.
Develop sourcing strategies specific to each discipline. Know where strong writers, communications operators, product marketers, and performance-minded marketers build their reputations.
Evaluate candidates beyond titles and company names. Review portfolios and writing samples, understand campaign context, clarify individual ownership, and probe for measurable results.
Help hiring teams build structured work-sample and portfolio reviews that reflect the actual work of each role.
Give leaders direct, useful reads on pipeline quality, candidate tradeoffs, compensation, and the state of the market.
Represent Perplexity clearly and credibly. Explain the product, the pace of the company, and the opportunity without relying on a generic AI pitch.
Run a thoughtful candidate process from first conversation through close, including senior candidates with competing offers and high expectations for the recruiting experience.
Use AI tools for research, sourcing, outreach, and recruiting operations. Identify where automation improves speed and where recruiter judgment needs to stay central.
Track pipeline health and search performance, identify gaps early, and adjust the strategy before a search stalls.
7+ years of full-cycle recruiting experience, including meaningful depth across Communications and Marketing.
Experience hiring across several of the following areas: Product Marketing, Corporate or Executive Communications, Editorial, Content, Social Media, Brand, Growth, Demand Generation, Field Marketing, or Events.
A track record of partnering closely with senior Communications or Marketing leaders on important and difficult searches.
Strong functional judgment. You understand the differences between product marketing, communications, editorial, brand, growth, and field marketing, including which backgrounds transfer well between them.
Comfort evaluating portfolios, writing samples, campaign work, and business results alongside the hiring team.
Strong writing and communication skills. You can sharpen a search brief, write credible outreach, and communicate clearly with candidates and executives.
Experience recruiting in a high-growth startup or similarly fast-moving environment.
Hands-on experience using AI tools to improve sourcing, research, outreach, or recruiting workflows.
Fluency with modern ATS and recruiting systems. Experience with Ashby is preferred.
Sound judgment, attention to detail, and the willingness to push back when the market or candidate evidence does not support the original brief.
The ability to manage several distinct searches without giving candidates or hiring teams a generic experience.
Welcome to the application portal for the Perplexity Research Fellowship!
The Perplexity Research Fellowship is our flagship program for enabling the best early-career STEM talent to shape the future of frontier intelligence.
Please refer to the program homepage for full details on the Perplexity Research Fellowship and application process.
When you're ready to apply, please complete and submit the application form. Make sure to carefully follow all instructions.
We'll evaluate applications on a rolling basis, with priority consideration for submissions received by September 30, 2026.
You should write your application without assistance from other humans or AI models. Submitting writing from other humans or AI models as your own will result in permanent disqualification from employment at Perplexity.
Please note that the Perplexity Research Fellowship is not an internship program for students seeking research experience between school terms. If you're currently a student and your requested Fellowship start date is before your graduation date, we will request verified proof of an approved leave of absence of 1 year or greater from your university as a precondition to any Fellowship offer.
Perplexity is looking for a highly skilled Expert Systems Engineer to join our Search Core team. For the indexing and data processing stream. This role is critical to building next-generation search products and technologies.
Responsibilities
Design and build core search engine components, especially indexing pipelines, data storage formats that operate at the scale of billions of pages
Develop streaming and batch data processing with YT systems for search index construction in a high-load environment
Push the limits of hardware performance through low-level optimizations and systems-level tuning
Tackle challenges in multithreading, concurrency, and system-level optimization
Design and build core search engine components, including indexing pipelines, retrieval algorithms, and ranking systems that operate at the scale of billions of pages
Develop streaming and batch data processing systems for search index construction in a high-load environment
Push the limits of hardware performance through low-level optimizations and systems-level tuning
Tackle challenges in multithreading, concurrency, and system-level optimization
Qualifications
3+ years of hands-on experience in systems programming (Rust, C++, C, or similar)
Ownership of full project lifecycle you don't just write a fast inner loop, you care about how the system is built, deployed, operated, and scaled in production
Knowledge of Python or other scripting languages
Knowledge of Data processing systems (YT/Kafka/Hadoop)
Passion for writing clean, efficient, and scalable systems-level code
Strong knowledge of algorithms and data structures, and the ability to apply them effectively
Deep understanding of multithreading, including various approaches, challenges, and trade-offs
Experience building high-load, distributed, and hardware-adjacent services
Solid understanding of Linux internals (syscalls, networking stack, memory model, kernel tuning)
Familiarity with low-level optimization techniques (memory management, cache efficiency, SIMD, profiling)
Nice to have
Experience developing core components of search engines, databases, or information retrieval systems
Understanding of search fundamentals: indexing, query parsing, ranking, and relevance
Experience with trading systems or other latency-sensitive real-time systems
Familiarity with cloud services, Kubernetes, and AWS infrastructure
NOTE ON ELIGIBILITY: this role is for industry candidates already working in software engineering for the past 1+ years. New grads and current students should NOT apply to this role (instead, visit pplx.ai/newgrads).
In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people now use Perplexity to transform knowledge into action, through Search, Comet, and Computer. Product Engineering owns those experiences end to end, from the interface a user touches to the search and model calls behind it, on top of roughly 200M queries a day and a 200B+ URL index.
This is a full stack role in the truest sense. There are no frontend or backend lanes here, and no one waits for a ticket before starting. It suits people who love to build and want the room to do it. What you have shipped and how quickly you learn tell us far more than years on a resume or where you went to school.
Own a user-facing surface end to end, from the interaction, design, and frontend through the application logic, APIs, data models, and the search or model calls behind them.
Ship to production continuously. New engineers typically have code in front of users in their first week.
Build with AI as a primary tool, not a novelty. We expect you to use agents and coding models aggressively to move faster, and to have sound judgment about when their output is wrong.
Turn ambiguous product ideas into working prototypes, then use real usage data and evals to decide what survives.
Raise the quality bar on reliability, latency, and craft for the surfaces you own.
Work directly with designers, PMs, and research engineers, without unnecessary process in between.
1+ years of professional software engineering experience, or a track record of strong internships where you shipped production code at scale.
Strong in at least one backend language, such as Python or Go, with real experience across services, APIs, and relational data modeling. Comfortable working in React and TypeScript on the frontend.
Real evidence of building: production work you understand in depth, shipped side projects with actual users, meaningful open-source contributions, hackathon wins, or research you turned into working software.
Comfort with ambiguity and an instinct to start building incrementally rather than wait for a spec.
Hands-on experience with AI products, with opinions about their rough edges and what that means for the product you are building.
Experience with our stack: React or Next.js, Python, Go, PostgreSQL, Redis, Docker, AWS. You will not be expected to know all of it on day one.
Experience building on top of LLMs: AI orchestration, RAG, evals, agents, tool use.
Product taste. You can tell a good interface from a bad one and explain how to improve it.
A public track record we can read, such as GitHub, a technical blog, or a demo we can try.
Perplexity is looking for a detail-oriented Payroll Analyst to join our growing Finance and Accounting team. You will partner closely with the Payroll Manager to keep US and international payroll accurate, compliant, and timely as the company scales through rapid hiring, global expansion, and increasing complexity in equity and benefits administration.
This is a hands-on role with real ownership from day one, working closely with People Operations, Accounting, Tax, and Equity. The ideal candidate combines strong payroll and systems expertise with sharp attention to detail, a service-oriented approach, and the ability to bring structure to a fast-moving environment.
Responsibilities
US and international payroll processing: Own day-to-day processing support for US multi-state semi-monthly payroll and assist with international payroll cycles across approximately 16 countries, working primarily in Rippling.
Global contractor payroll: Run the monthly global contractor payroll cycle, including timecard submission tracking, manager approval follow-up, and on-schedule contractor payments.
Pre- and post-payroll audits: Reconcile benefit deductions, 401(k) deferrals, and employer match against payroll journals and deductions exports; flag and resolve discrepancies before paychecks post.
State tax account administration: Support state-level employer tax account registration and maintenance (SUI and withholding) as the company grows into new states, including migration of legacy accounts inherited from prior PEO arrangements.
Benefits and 401(k) support: Assist with 401(k) and benefits administration, including contribution monitoring, HCE and nondiscrimination testing support, and COBRA offboarding notices.
Equity payroll reporting: Support equity and stock-exercise payroll reporting by tracking Carta exercise data, applying correct NSO/ISO tax treatment, and preparing payroll-side entries at quarter-end cutoffs.
Reimbursements and systems integration: Manage the Rippling-to-NetSuite reimbursement approval chain, ensuring expense reimbursements route and post correctly across systems.
Employee support: Serve as a first point of contact for employee payroll inquiries, resolving routine questions and escalating complex cases with context.
Close and compliance support: Maintain clean, audit-ready documentation and support quarter-end and year-end close activities, including W-2s, ACA reporting, 401(k) true-ups, and year-end reconciliations.
Process improvement: Identify and help implement process improvements that reduce manual work and strengthen controls as payroll volume and jurisdictional complexity increase.
Requirements
4+ years of hands-on payroll experience, ideally including multi-state US payroll; international or contractor payroll exposure is a plus.
Experience establishing and managing US state agency accounts, including troubleshooting agency mailings and invoices for payment, and related account maintenance.
Strong working knowledge of California wage statement requirements, meal and rest break premiums, final pay timing rules, and other state-specific compliance considerations.
Hands-on experience with a modern payroll/HRIS platform (Rippling, Workday, ADP, Gusto, or similar); Rippling experience preferred.
Comfort with detailed reconciliation work across benefits deductions, 401(k) match calculations, and payroll-to-GL tie-outs, including strong Excel and Google Sheets skills and the ability to work accurately with large datasets.
Working knowledge of US payroll tax compliance (SUI, SIT, federal and state withholding) and interest in learning cross-border payroll mechanics.
Familiarity with equity compensation payroll (RSU, NSO, and ISO taxation) is a plus.
Excellent attention to detail and follow-through — this role exists to catch errors before they reach employees, not just process transactions.
Clear communicator who can explain payroll and benefits topics to employees and cross-functional stakeholders.
Ability to multi-task and prioritize effectively in a fast-paced environment.
The Workplace team powers and connects the workday for all Perplexity employees across our global offices.
We are hospitality and experience-driven at the core. We are made up of People people, meaning that we love supporting each other and all of the People in our workplace. We take on the good and the bad with optimism and with a positive, kind approach to solving problems, dealing with the obstacles handed to us, and proactively creating good around us. We think about each moment through the lens of our colleagues (our customers) so that we can create thoughtful and memorable experiences no matter what task we have at hand.
Our New York City office of approximately 100 seats is located in Union Square. The NYC Sr. Workplace Coordinator will be a part of the global Workplace team, and will be responsible for all office operational, coordination, and administrative tasks while cultivating a beautiful, positive, and productive workplace.
Keep the NYC office running with respect to the day to day reception, operations, vendor relationships and associated services, employee health & safety compliance, and facility maintenance all while creating a clean, polished, and positive environment for all to enjoy
Open/close the office daily (8:30am - 5:00pm) + be there at times when no one else is for special projects, maintenance or moves.
Support team mail and packaging assistance including accepting deliveries of small packages - triage, distribute, keeping it all organized
Manage inventory and order all office and kitchen supplies while tracking spend and working within the office budget. Remotely help with office and kitchen supply ordering for small neighboring offices.
Keep the office tidy, clean, organized and looking polished each and every hour of the day
Create a wonderful workplace experience and environment for employees, visitors, recruits, customers and vendors alike
Produce thoughtful and inclusive office experiences and events, collaborating with the Workplace team so there is consistency with other office locations and the global strategy
Organize, monitor, and communicate facility and building safety preparedness to employees
Build relationships with external parties (contractors, suppliers, etc.) and with building management, maintenance, and cleaning staff, including quality control, vendor accountability, and delivering feedback
Organize internal and external lunches, meetings, team-building events, and offsites ensuring proper preparation of all logistical pieces.
Assist with coordinating and being the on-site contact for design and construction projects
Assist with answering workplace tickets in a kind and timely manner
Assist with ad-hoc projects when time allows
Contribute in ways beyond this high level overview of the role’s responsibilities
3-5 years of experience working in facilities, workplace operations, office administration, or hospitality fields
Proficiency with G-Suite Products or the ability to learn software quickly
Excellent organization, planning and prioritization skills
Exceptionally strong ownership and can-do attitude with an operational mindset
Comfortable working autonomously, juggling multiple tasks under tight deadlines, switching gears at the drop of a hat, and having a “no task too small” mentality
Willingness to jump in where needed, picking up projects and checking things off lists even when it lands on your plate unexpectedly
Excellent written, non-verbal, and verbal communication skills; the ability to work well with various personality types, and are receptive to feedback...all while maintaining a high degree of professionalism and confidentiality
Genuine passion for supporting others and a contagiously positive attitude
The capability to anticipate others' needs and act with patience, kindness, and firmness
An eye for detail with regards to all things from process to projects to space to events
The ability to maintain a professional and kind game face even when things aren’t going as planned or desired; a propensity for problem solving quickly and quietly
A solid sense of self awareness and the desire for feedback to adapt and grow
We're looking for an experienced Global Mobility Lead to build and run the programs that help employees join, move, and work across borders. You will own our mobility policies, immigration casework, and vendor relationships, and partner with Legal, Finance, and People Ops to make cross-border moves clear, compliant, and well supported.
Own the mobility policy suite end to end: relocation, permanent transfers, short-term and long-term international assignments, remote/cross-border work arrangements, and business travel thresholds.
Run individual mobility cases from scoping to landing: package design, cost estimates, immigration sequencing, tax and social-security implications, payroll setup, relocation logistics, and post-arrival support.
Manage employment-based immigration casework in partnership with outside counsel: H-1B (including cap-subject and change-of-employer/AC21 timing), L-1, TN, E-3, O-1, F-1 OPT/CPT, and employer-sponsored permanent residence. Own the internal timeline, the start-date reality check, and the manager/candidate communication.
Own daily immigration intake and case execution, including employer questionnaires, supporting documents, employment verification letters, signatures, counsel follow ups, and case closure.
Own right-to-work compliance across jurisdictions: I-9 and E-Verify in the US, Home Office share-code checks in the UK, and equivalent checks in our EU and other markets.
Decide and document the entity/employment model for each new market (direct entity, EOR, or non-resident payroll registration) with Finance and Legal.
Own our mobility vendor stack (immigration counsel, relocation, tax, EOR/global payroll): scope, SLAs, cost, and performance.
Model and track mobility cost, including sponsorship and premium-processing fees, so leadership can make go/no-go calls with real numbers, and obtain and document required approvals before committing sponsorship or spend
Build the tracking layer: mobility case pipeline, immigration deadlines and expirations, compensation comparisons, etc.
Stand up mobility dashboards: case volume, cycle time, cost per move, band penetration, offer-to-band variance, and equity-gap trend.
Write the employee-facing documentation so moves and pay decisions are predictable and explainable, not one-off negotiations.
What we’re looking for
6+ years of experience in global mobility, with real ownership of cross-border moves and immigration casework, not just vendor hand-offs.
Working fluency in US employment-based immigration and at least one other major jurisdiction’s work-authorization regime (UK, EU, or Canada).
Strong analytical skills: comfortable in spreadsheets and HRIS reporting, able to build a defensible model and explain the assumptions behind it.
Judgment about risk. You know when to escalate to Legal, when to flag classification or permanent-establishment exposure, and how to say no clearly.
Excellent written communication: you’ll draft policies, verification letters, offer rationales, and executive-facing recommendations.
Comfort with ambiguity, high volume, and shifting priorities.
Perplexity is AI for people who expect more. On the data team, that means building the systems that make our data reliable, understandable, and usable by both humans and AI.
We're looking for an analytics engineer or data engineer who wants to build the foundation for an AI-native data organization. You'll design core data models, pipelines, semantic layers, data quality systems, governance practices, and warehouse workflows that power the entire company: helping teams make strategic decisions, operate the business, and move faster with trusted data. You'll also make sure those systems are secure, privacy-aware, and legible to AI agents, data scientists, and the rest of the company.
This role is for someone who can operate at the boundary of analytics engineering, data engineering, data governance, and internal product. You care about dimensional modeling, dbt standards, cost-aware warehouse design, access controls, privacy, and the details that make data trustworthy. You also believe AI should make the data stack faster, easier to maintain, and more accessible across the company without weakening security or governance.
Build the core data foundation - design and maintain high-quality data models, marts, and pipelines that make analysis fast, reliable, and reusable.
Manage the data warehouse - help own warehouse architecture, environments, permissions, performance, cost, data lifecycle, and operational hygiene so the platform scales cleanly.
Make the warehouse AI-readable - own the documentation, semantic context, metadata, lineage, and retrieval patterns that AI systems depend on to understand and query Perplexity's data correctly.
Own data modeling standards - define and champion dbt patterns, dimensional modeling practices, naming conventions, tests, and review processes.
Lead data governance practices - define standards for access, ownership, lineage, documentation, retention, quality, and sensitive data handling across the analytical warehouse.
Build with security and privacy in mind - partner with engineering, security, legal, and finance where needed to ensure data access, sharing, and AI-enabled workflows are appropriate and controlled.
Automate data quality and maintenance - build AI-assisted workflows that detect issues, explain root causes, suggest fixes, generate tests, and reduce manual firefighting.
Improve data team productivity - automate repetitive workflows, improve tooling, streamline development, and make it easier for data scientists and stakeholders to answer questions.
Partner across the company - work closely with data scientists, engineering, product, finance, and GTM teams to translate analytical needs into durable data systems.
Shape tooling decisions - evaluate build-versus-buy tradeoffs, manage vendor relationships when needed, and choose tools that scale with the team.
6+ years of experience as an analytics engineer, data engineer, data scientist, or closely related role.
Deep SQL expertise - you can reason about correctness, performance, joins, grain, and edge cases in complex warehouse queries.
Strong data modeling experience - you've worked hands-on with dbt (or a similar transformation framework) in production, and you understand dimensional modeling, data contracts, testing, and how analytical schemas should evolve.
Pipeline ownership - you've built, maintained, debugged, and improved production data pipelines.
Warehouse management experience - you've worked with warehouse administration, access patterns, permissions, performance tuning, cost management, or operational ownership.
Governance mindset - you think clearly about data ownership, access controls, privacy, retention, lineage, auditability, and the risks of making data too easy to access.
AI-native working style - you already use AI to speed up development, documentation, QA, exploration, and repetitive workflow automation.
Stakeholder fluency - you know how to turn messy analytical requirements into trusted models, metrics, and reusable data assets.
Autonomy and execution - you can take projects from ambiguous problem to production-quality system with minimal oversight.
Operational judgment - you care about reliability, governance, security, cost, and long-term maintainability.
Snowflake administration, optimization, cost management, or warehouse performance tuning.
Experience with RBAC, PII handling, data classification, retention policies, audit workflows, or privacy/security reviews.
Experience with Databricks or other modern data infrastructure.
Experience building semantic layers, metrics layers, metadata systems, or data catalogs.
Python experience for data tooling, automation, orchestration, or quality checks.
Previous experience as an early analytics engineer or data engineer at a high-growth startup.
Own the foundation - your work will determine how fast and confidently the company can use data.
Build for humans and AI - the next generation of data infrastructure needs to be understandable by agents as well as analysts.
High leverage - better models, pipelines, and tools multiply every data scientist and every stakeholder who depends on data.
Small team, broad scope - you'll have room to define standards, choose tools, and ship systems that become company-wide defaults.
The general application portal has closed for 2026. We will reopen applications at some point in 2027. Thank you for your interest in Perplexity careers!
Welcome! This is the general application portal for university students and recent graduates who wish to be considered for full-time Member of Technical Staff positions at Perplexity. Our elite new grad cohorts enjoy unparalleled mentorship, top-of-market compensation, and the chance to tackle some of the deepest, thorniest challenges in frontier intelligence.
NOTE: if you attend one of our focus schools listed below, please do not apply via this portal as it is infrequently monitored due to high volume. Apply instead via the school-specific application portal below to ensure your application receives priority attention.
Caltech | Columbia | Cornell | CMU | Duke | Georgia Tech
Harvard | MIT | Michigan | Northwestern | NYU | Penn
Princeton | Purdue | Stanford | UC Berkeley | UChicago
UCLA | UIUC | UNC Chapel Hill | UT Austin
UWashington | Yale
McGill | UBC | UToronto | Waterloo
Perplexity believes that exceptionally talented individuals at any stage can thrive in our high-velocity, high-ownership culture. Our early career talent program revolves around:
Breadth: New grads at Perplexity work across the stack, from Perplexity's agent harnesses to our AI inference and training systems. Many of our most beloved features and most important systems were shipped by individuals fresh out of school.
Depth: New grads are entrusted (and expected) to dive deep into whatever problem domains you work on. Often, your work will require you to become a world expert in some problem space that few others in the world have encountered.
Mentorship & Growth: We keep the size of our entering new grad cohorts at well below 10% of our technical team. Each individual enjoys a rich network of mentors to help them grow, and our new grads have a track record of becoming some of Perplexity's most senior and prolific team members.
Recognition: We select for the best and we recognize them accordingly. We set our early career compensation to rise well above that of top tech companies and startups. Post-hire, we aggressively recognize and reward growth in role.
Mission: Perplexity is AI for people who expect more. Our mission is to build frontier intelligence for the world's most discerning users, and each contribution you make will directly advance that mission.
If you're not applying from a focus school listed above, we typically require you to possess the following qualifications:
GPA of ≥3.92, averaged across all CS and Math classes; and
Grade of A or A+ in your school's upper-level algorithms course.
Additional advanced coursework in areas such as systems, AI/ML, advanced math, and other rigorous subjects is highly welcome.
While you're welcome to submit your application if you don't meet these criteria, we will be looking for other evidence of exceptional ability. You are encouraged to briefly describe this evidence in response to the \"Anything Else\" question at the bottom of the application form.
This portal accepts applications for full-time roles at Perplexity. Internship applications are not accepted via this portal. If you're interested in short-term opportunities with our team, you may instead be interested in the Perplexity Research Fellowship. The Fellowship has a separate application process detailed here. Note that Fellowship applications are extremely competitive; in particular, we don't expect to admit any undergraduate students to the Fellowship before their final year of study.
","descriptionPlain":"APPLICATIONS CLOSED\n\nThe general application portal has closed for 2026. We will reopen applications at some point in 2027. Thank you for your interest in Perplexity careers!\n\n\n\n\n\nWelcome! This is the general application portal for university students and recent graduates who wish to be considered for full-time Member of Technical Staff positions at Perplexity. Our elite new grad cohorts enjoy unparalleled mentorship, top-of-market compensation, and the chance to tackle some of the deepest, thorniest challenges in frontier intelligence https://www.perplexity.ai/hub/blog/category/research.\n\n\n\nNOTE: if you attend one of our focus schools listed below, please do not apply via this portal as it is infrequently monitored due to high volume. Apply instead via the school-specific application portal below to ensure your application receives priority attention.\n\n\n\n\n\nFOCUS SCHOOLS (UNITED STATES) - APPLICATION PORTALS\n\nCaltech https://pplx.ai/2026Caltech | Columbia https://pplx.ai/2026Columbia | Cornell https://pplx.ai/2026Cornell | CMU https://pplx.ai/2026CMU | Duke https://pplx.ai/2026Duke | Georgia Tech https://pplx.ai/2026GATech\nHarvard https://pplx.ai/2026Harvard | MIT https://pplx.ai/2026MIT | Michigan https://pplx.ai/2026Michigan | Northwestern https://pplx.ai/2026Northwestern | NYU https://pplx.ai/2026NYU | Penn https://pplx.ai/2026Penn\nPrinceton https://pplx.ai/2026Princeton | Purdue https://pplx.ai/2026Purdue | Stanford https://pplx.ai/2026Stanford | UC Berkeley https://pplx.ai/2026Berkeley | UChicago https://pplx.ai/2026UChicago\nUCLA https://pplx.ai/2026UCLA | UIUC https://pplx.ai/2026UIUC | UNC Chapel Hill https://pplx.ai/2026UNC | UT Austin https://pplx.ai/2026UTAustin\nUWashington https://pplx.ai/2026UW | Yale https://pplx.ai/2026Yale\n\n\nFOCUS SCHOOLS (CANADA) - APPLICATION PORTALS\n\nMcGill https://pplx.ai/2026McGill | UBC https://pplx.ai/2026UBC | UToronto https://pplx.ai/2026UToronto | Waterloo https://pplx.ai/2026Waterloo\n\n\n\n\nEARLY CAREER TALENT @ PERPLEXITY\n\nPerplexity believes that exceptionally talented individuals at any stage can thrive in our high-velocity, high-ownership culture. Our early career talent program revolves around:\n\n - Breadth: New grads at Perplexity work across the stack, from Perplexity's agent harnesses to our AI inference and training systems. Many of our most beloved features and most important systems were shipped by individuals fresh out of school.\n\n - Depth: New grads are entrusted (and expected) to dive deep into whatever problem domains you work on. Often, your work will require you to become a world expert in some problem space that few others in the world have encountered.\n\n - Mentorship & Growth: We keep the size of our entering new grad cohorts at well below 10% of our technical team. Each individual enjoys a rich network of mentors to help them grow, and our new grads have a track record of becoming some of Perplexity's most senior and prolific team members.\n\n - Recognition: We select for the best and we recognize them accordingly. We set our early career compensation to rise well above that of top tech companies and startups. Post-hire, we aggressively recognize and reward growth in role.\n\n - Mission: Perplexity is AI for people who expect more. Our mission is to build frontier intelligence for the world's most discerning users, and each contribution you make will directly advance that mission.\n\n\n\n\nACADEMIC REQUIREMENTS\n\nIf you're not applying from a focus school listed above, we typically require you to possess the following qualifications:\n\n 1. GPA of ≥3.92, averaged across all CS and Math classes; and\n\n 2. Grade of A or A+ in your school's upper-level algorithms course.\n\nAdditional advanced coursework in areas such as systems, AI/ML, advanced math, and other rigorous subjects is highly welcome.\n\n \n\n\nNON-QUALIFYING APPLICATIONS - EVIDENCE OF EXCEPTIONAL ABILITY\n\nWhile you're welcome to submit your application if you don't meet these criteria, we will be looking for other evidence of exceptional ability. You are encouraged to briefly describe this evidence in response to the \"Anything Else\" question at the bottom of the application form.\n\n\n\n\nNOTE ON FELLOWSHIP OPPORTUNITIES\n\nThis portal accepts applications for full-time roles at Perplexity. Internship applications are not accepted via this portal. If you're interested in short-term opportunities with our team, you may instead be interested in the Perplexity Research Fellowship. The Fellowship has a separate application process detailed here https://pplx.ai/fellowship. Note that Fellowship applications are extremely competitive; in particular, we don't expect to admit any undergraduate students to the Fellowship before their final year of study."},{"id":"c5dcc0db-7fdc-4e09-86c7-b6618400df16","title":"Global Workplace Business Operations Lead","department":"Workplace","team":"Workplace","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2026-10-02T23:39:04.097+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/perplexity/c5dcc0db-7fdc-4e09-86c7-b6618400df16","applyUrl":"https://jobs.ashbyhq.com/perplexity/c5dcc0db-7fdc-4e09-86c7-b6618400df16/application","descriptionHtml":"The Workplace Experience team powers and connects the workday for all Perplexity employees across our global offices.
We are hospitality and experience-driven at the core. We are made up of People people, meaning that we love supporting each other and all of the People in our workplace. We take on the good and the bad with optimism and with a positive, kind approach to solving problems, dealing with the obstacles handed to us, and proactively creating good around us. We think about each moment through the lens of our colleagues (our customers) so that we can create thoughtful and memorable experiences no matter what task we have at hand.
As our Global Workplace Business Operations Lead, you will manage the business operations and cross-functional program delivery that enable our global Workplace Experience team to scale. In collaboration with the Head of Workplace Experience, you will set the operating framework for your areas, make decisions within agreed priorities and approval limits, and remain hands-on in delivering results. You will own the effectiveness of portfolio operating processes and internal project delivery.
Own the Workplace operating framework: Lead annual and quarterly planning for your areas, translate team strategy into priorities and resource plans, and establish clear decision rights, delivery commitments and measures of success. Resolve sequencing and capacity trade-offs within agreed parameters and recommend when to add people, vendors or technology.
Lead internal capital-project delivery: Take accountability for integrated delivery plans across office openings, refreshes and other capital initiatives. Direct the work of external PMs within agreed scopes, align internal workstreams, resolve delivery issues and hold partners accountable for schedule, cost, quality and operational readiness.
Own portfolio controls and insight: Establish dependable lease administration, obligation tracking, space and occupancy information, and portfolio reporting. Set data and control standards, ensure actions have owners, and turn trends and risks into recommendations before deadlines or capacity constraints become problems.
Drive financial planning and performance: Own the processes and quality of operating and capital forecasts, commitments, actuals and variance analysis in partnership with Finance. Challenge assumptions, recommend corrective actions and investment trade-offs, and give the Head of Workplace Experience a reliable basis for budget and commitment decisions.
Set the systems and reporting roadmap: Own business requirements, governance and improvement priorities for workplace tools such as Envoy. Establish useful performance measures, improve data quality, and automate repeatable work while maintaining appropriate controls and keeping processes practical for the team.
Lead EHS program governance: Establish a risk-based plan, clear responsibilities and a review cadence with qualified vendors and internal teams. Drive follow-through on assessed obligations and remediation across offices and remote populations, maintain evidence of completion, and escalate material risks without substituting for specialist advice.
Set standards for delivery and handover: Own the development and use of project playbooks, planning processes and operational-readiness criteria. Bring together design standards and occupancy requirements, and ensure completed projects transfer to local operations with the documentation, training, vendor arrangements and issue ownership needed to run well.
Serve as a senior operating partner: Lead cross-functional operating and project reviews, surface decisions with clear recommendations, and represent your areas with internal and external partners. Drive resolution within your authority, escalate material changes with options, and build accountability without adding unnecessary layers.
Senior functional leadership: 8+ years in workplace business operations, corporate real estate, facilities programs or a closely related field, with increasing responsibility for complex, multi-site programs and their outcomes. You have operated with substantial autonomy, not only administered plans set by others.
Project and program management expertise: You are a project manager at the core. You are quick and agile, but methodical when it comes to planning for, organizing, tracking, and executing on a project in a way that keeps everything and everyone aligned and on task.
Relevant delivery depth: You have a record of delivering office buildouts, relocations or capital improvements as an internal owner, with accountability for scope, financial performance, schedules, change control and external delivery partners.
Strong financial and analytical judgment: You have experience driving forecasting and reporting processes, challenging assumptions and translating portfolio data into resource or investment recommendations; strong spreadsheet and analytical skills.
Experience building an operating framework: You have established planning, governance, performance measures and systems that helped a growing function deliver more predictably. You know when structure improves execution and when it becomes unnecessary process.
Leadership across organizational boundaries: You can secure commitments, challenge constructively and resolve competing priorities across teams and vendors. You communicate risks and recommendations credibly to senior leaders and know which decisions to make independently and which to escalate.
Hands-on ownership and sound judgment: You can move between portfolio-level trade-offs and project details, deliver through others without losing accountability, handle sensitive information responsibly, and maintain a kind, service-oriented approach under pressure.
Helpful, not required: International portfolio experience, workplace technology ownership, EHS program governance, or a relevant project-management credential.
Perplexity is seeking a Director of Events to own our external events worldwide: the ones we host, the stages we speak on, and the ones we sponsor. You will set the strategy, run production, manage the budget, and build the team. If you have produced a flagship and a dinner in the same week, know what a good sponsorship deal looks like, and want to build an events function from the ground up, this role is for you.
Responsibilities
Own events. Hosted, speaking, sponsored. Strategy, budget, production, results.
Set the calendar. Decide which events we run, which we speak at, and which we skip.
Produce hosted events. Launches, dinners, summits, roadshows. Concept, programming, venue, vendors, run of show.
Run the speaking program. Pick the stages. Prepare the speakers.
Manage sponsorships. Negotiate terms, design our footprint, and account for the spend.
Run field events with Sales. Get the right customers in the room. Make sure someone follows up.
Be Perplexity. Our events should look and feel like our product. Work with Brand and Creative on every one.
Lead the team. Equal parts IC and manager.
Build the system. Playbooks, event tiers, intake, vendors, agencies, budgets.
Measure. Attendance, coverage, pipeline, signups. Know which events worked and stop doing the ones that didn't.
Be on site. For the events that matter, you are in the room.
Qualifications
12+ years producing events, including large hosted events, sponsorships, and field programs, ideally in-house at a technology company.
Has built or led an events team.
Has owned large budgets, agency relationships, and vendor contracts.
Has negotiated sponsorships and knows a bad deal when they see one.
Has run an executive speaking program: selecting stages, preparing speakers, managing the day.
Knows production: run of show, staging, AV, registration, staffing, security, permits.
Drives measurement. Has built event attribution and tracked brand sentiment, and reports what each event returned.
Can partner with Sales, Product, Comms, Brand, Finance, Legal, and executives.
Power user of AI tools. Most of your work already runs through them, and you can show us how.
Based in San Francisco or New York. Willing to travel internationally.
Perplexity is continuing to rapidly scale our Enterprise Engineering Organization and seeking Engineering Managers with deep expertise across the Enterprise domain to help lead the next wave of growth.
As an Enterprise Engineering Manager, you will combine technical judgment, product intuition, and people leadership to help large organizations adopt AI at scale. We are hiring across the enterprise control plane, enterprise data plane, and connector marketplace and activation. Depending on your area of focus, you will lead and grow a team in one of these areas, addressing challenges such as:
Enterprise Control Plane: Building the identity, security, and governance foundations that enable large organizations to deploy Perplexity confidently, including SSO, SCIM, role-based access, customer-managed encryption keys (BYOK), admin APIs, and enforceable policies governing access to data, models, and tools. Supporting regulated-industry requirements, including SOC 2, HIPAA, data governance, and residency, with audit logs and analytics that give administrators visibility into how Perplexity is used.
Enterprise Data Plane: Building the connector platform and semantic data layer that give Computer reliable, permission-aware access to enterprise systems and knowledge, including managed authorization, private-system access, and data freshness.
Connector Marketplace and Activation: Building discovery, recommendations, onboarding, and marketplace experiences that help customers find and adopt integrations, while working with partners to expand the connector ecosystem.
Across these areas, you will translate enterprise customer needs into scalable technical solutions across Perplexity’s products.
Set technical direction for your team and guide architecture decisions across the enterprise platform.
Build the foundational systems that enable large organizations to deploy Perplexity broadly and confidently.
Shape roadmaps with product and design, applying strong technical judgment and product intuition.
Set a high bar for reliability, code quality, testing, and maintenance. Lead incident response and ensure platform changes and connector migrations are rolled out safely.
Partner with engineering teams across the company to ensure the platforms we build are extensible and easy to adopt.
Represent engineering in strategic enterprise customer conversations, partnering with sales and customer success to understand requirements and remove barriers to adoption.
Oversee hiring, onboarding, and mentorship for a rapidly growing team. Develop rigorous interview pipelines and work closely with recruiting to source candidates.
Work with Perplexity’s co-founders to deliver enterprise engineering priorities.
Strong technical judgment and experience building enterprise platforms or products, with an understanding of the reliability, security, and usability requirements of enterprise customers.
Domain expertise in at least one of the following areas:
Enterprise control plane: identity and access management, SSO/SCIM, role-based access, key management, admin APIs, policy enforcement, audit logging, data governance, or compliance and residency requirements for regulated industries.
Enterprise data plane: connector and integration platforms, including authentication, source-system permissions, data synchronization, and reliability at scale; or semantic data layers and knowledge platforms that make enterprise data accessible and useful to AI.
Connector marketplace and activation: discovery and recommendation systems, integration onboarding, marketplace product UX, or technology partner ecosystems.
Ability to deliver in a fast-moving environment while balancing customer needs, technical quality, and long-term maintainability.
Detail-oriented and quality-focused - our customers run critical workflows on Perplexity, and our product needs to stay robust and reliable.
Ability to translate enterprise customer needs into clear technical priorities and communicate tradeoffs effectively.
Experience building and managing high-performing engineering teams, with a strong management practice grounded in clear feedback, effective 1:1s, career development, and recruiting and retaining high-caliber talent.
Ability to lead parallel technical initiatives, align strong technical perspectives, and make clear prioritization and tradeoff decisions.
Experience with AI/ML products, enterprise AI adoption, or scaling enterprise platforms at a startup is a plus.
8+ years of engineering experience, with at least 4 of those years as an engineering manager.
Understand the needs of the teams that use our platforms and the customers who depend on them. Use product data, operational feedback, and recurring quality issues to identify the highest-impact problems, and then solve them.
Turn recurring needs into shared services, tools, and workflows that reduce duplicated work. Exercise judgment about when to build a reusable capability, use an existing solution, or take a simpler approach.
Work directly with product, engineering, and operational teams to understand their workflows, identify recurring problems, and anticipate the capabilities they will need next.
Prioritize platform investments across new product enablement, reliability, efficiency, and technical debt. Make clear tradeoffs between near-term delivery and long-term flexibility.
Define and track success through business impact, reliability, cost to serve, and reduced manual work, connecting these measures to customer and business outcomes.
Partner closely with engineering on technical tradeoffs, build-versus-buy decisions, and rollout plans. Write clear requirements and drive delivery from problem definition through launch and iteration.
Experience owning product strategy and execution on technical products and platforms, or shared systems used by multiple teams such as billing and monetization, identity and access, developer platforms, data and experimentation, internal tooling, support, etc.
Strong technical fluency. You can reason about APIs, data flows, system dependencies, and failure modes, and work closely with engineers on consequential tradeoffs.
Strong analytical skills. You can investigate problems independently, define meaningful metrics, and evaluate the impact of platform investments.
Strong written and verbal communication, with the ability to align teams around priorities and make difficult decisions when their needs compete.
High ownership and sound judgment in a fast-moving environment. You are comfortable moving between long-term strategy and hands-on execution without adding unnecessary process.
A focus on customer outcomes and product quality, including when your immediate users are internal teams.
Systems thinker, detail-oriented, problem solver. This person needs to have experience wrangling thorny, complex problems. We need someone that is excited about diving into messy workflows, reading through dozens of support tickets, thinking through edge cases no one’s thought of, assuming different behavior across platforms, proactively considering enterprise vs. consumer workflows, etc.
Experience working on platforms with multiple stakeholders and non-trivial tradeoffs. This person is building products simultaneously for customers, agents, and other internal employees.
Is “AI-native.” Can build AI products whose outputs require evaluation, safeguards, and human-in-the-loop design.
Strong analytical skills and experience defining metrics in ambiguity, breaking down workflows, and using quantitative and qualitative evidence to prioritize.
Some experience working on critical software: support platforms/agents, legal/compliance tooling, identity and account tooling, billing, fraud, trust-and safety, etc.
High-ownership. This person needs to feel dissatisfied by the current support flow, and hungry to do whatever it takes to clear the backlog.
Perplexity is seeking an experienced Machine Learning Engineer to advance how AI systems search, reason, and work together to solve complex problems. Our work spans search and retrieval, LLM post-training, multi-agent training, and the harnesses that make these systems effective.
We control the full stack: the models, the agent harnesses, and the search infrastructure underneath. That gives us the freedom to develop new approaches across all three training models to use search more effectively, designing tools and execution environments around learned behavior, and improving retrieval to support how agents actually work.
Push search and agent quality forward through improvements to models, training data, tools, and system design.
Develop LLM post-training methods, including reinforcement learning, to improve reasoning, search, tool use, and task completion.
Train and evaluate multi-agent systems, exploring how agents divide work, share information, and coordinate effectively.
Design and build agent harnesses around the tools, context management, execution environments, and orchestration that support reliable work over many steps.
Improve retrieval and ranking models and the search interfaces agents use to find and assess information.
Build datasets, reward signals, and evaluations that expose meaningful failures and guide improvements.
Own experiments end to end, from a clear hypothesis to scalable training, deployment, and measurable gains in quality, latency, and cost.
Collaborate with AI, Search, Infrastructure, Data, and Product teams to bring new capabilities into production.
A strong track record of building and shipping ML systems, with deep experience in one or more of LLM post-training, reinforcement learning, search and retrieval, or agent systems.
Strong software engineering skills and the ability to work across model training, experimentation infrastructure, and production systems.
Experience designing rigorous evaluations, diagnosing failures, and translating experimental results into practical improvements.
Comfort with open-ended problems that require both research judgment and hands-on engineering.
A strong sense of ownership, curiosity, and the drive to carry an idea through to a working system.
Experience with training models to use tools or complete tasks over many steps.
Multi-agent training, coordination, or evaluation.
Building agent harnesses, distributed training systems, or scalable inference infrastructure.
Large-scale retrieval, ranking, or recommendation systems.
Perplexity is looking for an experienced Billing Operations Manager to join our Finance and Accounting team as we scale our enterprise business. You will own the enterprise billing lifecycle, translating complex commercial agreements into accurate, timely invoices and building the processes and controls that support our growth.
This is a hands-on role working closely with Deal Desk, Enterprise Sales, Legal, and Customer Success. The ideal candidate combines strong billing and systems expertise with sound judgement, a customer-focused approach, and the ability to bring structure to a fast-moving environment.
Enterprise and reseller billing: Own enterprise billing operations from customer and subscription setup through recurring invoicing, renewals, amendments, and cancellations, ensuring accurate and timely billing in accordance with executed agreements.
Contract review: Partner with Enterprise Sales and Deal Desk to review nonstandard billing terms before contracts are signed, assess operational feasibility, and route exceptions for approval.
Complex billing arrangements: Translate approved pricing and contractual terms into billing configurations and schedules, including seat changes, tiered discounting, prorations, co-terminations, prepaid credits, and usage billed in arrears.
Billing inquiries and disputes: Serve as the primary point of contact for enterprise billing questions from customers and internal teams. Investigate discrepancies, coordinate approved credits and rebills, and address underlying causes to prevent recurring issues.
Reconciliations and close support: Reconcile contract, subscription, and usage data to billing output and investigate any billing discrepancies. Support month-end close and audits through billing completeness checks, reconciliations, and supporting documentation.
Integration management: Identifying and resolving any billing system integration failures.
Customer Success and renewal support: Partner with Customer Success, Enterprise Sales, and Deal Desk on renewals, expansions, and changes to customer commitments. Prepare seat, usage, and billing analyses; calculate renewal credits and true-ups; and translate approved agreements into accurate subscription, credit, and invoice updates. Coordinate the resolution of billing issues that could delay renewals or disrupt the customer experience.
Bachelor’s degree or higher in Accounting or Finance.
7+ years of experience in billing operations, order management, order-to-cash, revenue operations, or a related finance function, including hands-on ownership of enterprise SaaS or subscription billing.
Billing expertise: Demonstrated ability to interpret complex customer agreements and translate them into accurate billing schedules, invoices, and adjustments, including subscription and usage-based arrangements.
Systems proficiency: Hands-on experience with NetSuite, Salesforce, tax engines, and subscription or usage-based billing platforms, with the ability to investigate issues across connected systems.
Accounting fundamentals: Working knowledge of accounts receivable, deferred revenue, and revenue-recognition concepts, including ASC 606.
Resourcefulness, detail-oriented and a motivation for solving problems and finding solutions.
Excellent communication skills, as frequent interaction with both internal and external stakeholders will be required.
Ability to multi-task and prioritize effectively in a fast-paced environment.
As an Enterprise Sales Manager at Perplexity, you'll lead a team of Account Executives selling Perplexity Enterprise and Computer to Enterprise accounts. You'll be responsible for hiring and ramping the team, coaching sellers through complex enterprise sales cycles, and owning team revenue targets.
Lead, coach, and develop a team of Account Executives, providing regular feedback to drive individual and team performance
Own team revenue targets, with accountability for pipeline creation, deal execution, and forecast accuracy
Hire, onboard, and ramp new Account Executives in partnership with Recruiting and Enablement
Coach the team on outbound prospecting, account planning, and converting existing self-serve customers into Enterprise relationships
Support AEs in complex, multi-stakeholder deals, including executive alignment, technical evaluation, security review, and negotiation
Run a regular cadence of 1:1s, pipeline reviews, and deal reviews, maintaining accurate Salesforce data and forecasts
Partner with Enablement, Product, Marketing, Customer Success, and RevOps to translate field feedback into action
7+ years of enterprise software sales experience, with 3+ years directly managing quota-carrying Account Executives
A track record of meeting or exceeding team revenue targets in a high-growth environment
Experience hiring, ramping, and developing sellers
Experience coaching teams to generate their own pipeline through outbound and account-based prospecting
Strong command of Salesforce, pipeline management, and forecasting
Background selling technical products, ideally AI, data, or infrastructure
Comfort operating without an established playbook
As a Commercial Sales Manager at Perplexity, you'll lead a team of Commercial Account Executives selling Perplexity Enterprise and Computer to small and mid-sized organizations. You'll be responsible for hiring and ramping the team, coaching sellers through efficient, high-velocity sales cycles, and owning team revenue targets.
Lead, coach, and develop a team of Commercial Account Executives, providing regular feedback to drive individual and team performance
Own team revenue, logo, and activity targets, with accountability for pipeline creation, deal velocity, and forecast accuracy
Hire, onboard, and ramp new Account Executives in partnership with Recruiting and Enablement
Coach the team on outbound prospecting, account prioritization, and converting existing self-serve customers into Enterprise relationships
Help AEs qualify with discipline and run efficient sales cycles from discovery through close, partnering with Enterprise AEs when an account warrants a larger motion
Run a regular cadence of 1:1s, pipeline reviews, and deal reviews, maintaining accurate Salesforce data and forecasts
Partner with Enablement, Product, Marketing, Customer Success, and RevOps to translate field feedback into action
5+ years of SaaS sales experience selling to small and mid-sized organizations, with 2+ years directly managing quota-carrying Account Executives
A track record of meeting or exceeding team revenue targets in a high-growth environment
Experience hiring, ramping, and developing sellers
Experience coaching teams to generate their own pipeline through outbound and product-led signals in a high-velocity sales motion
Strong command of Salesforce, pipeline management, and forecasting
Background selling technical products, ideally AI, data, or infrastructure
Comfort operating without an established playbook
The internet is vast, containing trillions of URLs. Perplexity’s crawling and storage system is complex and has multiple stages (URL discovery, crawling, parsing, indexing). Each stage offers many opportunities for improvement and room for intricate bugs. You’ll work at the intersection of data analysis and engineering — designing metrics, building data pipelines, and improving the quality of our search and answer systems.
Responsibilities
Find and diagnose quality issues in our crawling pipeline
Train small models that optimize particular aspects of the pipeline (e.g. parsing quality)
Build datasets for model training, including LLM-as-a-judge labeling pipelines
Improve page selection algorithms for indexing
Design and analyze experiments to validate improvements
Qualifications
4+ years of experience as a data analyst, ML engineer, or in a related role
Strong coding skills: you should be able to write production-grade code at the level of a mid-level backend engineer
Experience designing metrics from scratch
Experience training ML models that shipped to production with measurable metric improvements
Nice to have
Direct experience working on web crawling or indexing pipelines
We are looking for a Strategic Finance Lead to help scale Perplexity’s consumer and enterprise businesses. You will partner with Marketing and Growth leaders to identify growth opportunities, understand customer economics, and turn investment decisions into measurable business results. You will build our marketing-finance capabilities while helping shape how we acquire customers and generate enterprise pipeline.
This role starts as a hands-on individual contributor position for someone who enjoys open-ended problems and turning analysis into action. You will work closely with business leaders and cross-functional teams, with room for your scope to evolve as the company grows. We value someone who can set direction, dig into the details, and follow through.
Develop the customer economics and investment recommendations that guide how we acquire and retain customers, grow enterprise pipeline, and scale marketing spend. Use CAC, LTV, and payback to evaluate investment returns.
Partner with Marketing and Growth leaders to build and scale growth initiatives, identify constraints, and determine the resources and changes needed to produce more business.
Build models and analyses to guide growth investments, translate plans into resource requirements and spending forecasts, and track commitments as plans evolve.
Collaborate with data and business partners to strengthen measurement and attribution, connecting marketing activity to business outcomes. Help teams make investment decisions with incomplete information, making assumptions explicit and using results to refine where we invest.
Take ownership of emerging strategic questions across GTM, bringing clear recommendations and adapting as priorities change.
5+ years of experience in strategic finance, business operations, growth analytics, or a related field, with experience supporting growth-oriented decisions.
Strong financial modeling and analytical skills, with a deep understanding of customer economics and investment returns.
Ability to work directly with data and build financial models, using AI tools to accelerate analysis and improve workflows. You can validate outputs, interrogate assumptions, and explain the business logic behind your recommendations.
Experience making growth investment decisions across both consumer or self-serve acquisition and enterprise demand generation, with a strong understanding of customer economics and the connection between marketing activity, pipeline, and bookings.
A track record of independently identifying growth opportunities, building the analysis needed to act, and working with partners to implement decisions and learn from results. You move quickly, learn fast, and are willing to do the detailed work yourself.
Strong communication skills and the ability to build trust, challenge assumptions constructively, and work across teams.
The Enterprise Trust & Governance team builds the control plane that lets the world’s largest organizations deploy Perplexity broadly and with confidence. Computer and our agents work across a growing share of our customers’ environments, tools, and models. For administrators, that makes precise, enforceable control essential: who can do what, with which data, through which agents, and within what usage limits. This team makes those controls easy to manage, reliable and consistent across every product, and transparent to the people accountable for them.
This is a product and platform engineering role with end-to-end ownership, from shaping the architecture and policy models to shipping the experiences our customers’ administrators and security teams use every day. You’ll work across product and infrastructure teams to turn complex enterprise requirements into reusable primitives and intuitive controls. The scope spans identity and provisioning, fine-grained role-based access across connectors, tool actions, and models, customer-managed encryption keys, admin APIs, audit logs, and policy and usage controls. Strong governance helps enterprises move from pilots to company-wide rollouts and gives them the confidence to entrust agents with greater responsibility over time.
Own enterprise identity and provisioning, including SSO (SAML/OIDC), SCIM, WorkOS integrations, and support for identity providers such as Okta and Microsoft Entra ID.
Build the permissions platform, with fine-grained roles and permissions for connectors, tool actions, models, and model effort levels, enforced consistently across products and agent workflows.
Design and ship secure, well-documented admin APIs for audit logs, members, groups, roles, and settings.
Build policy controls for model and feature availability, staged rollouts, model deprecations, usage and spend limits, alerts, and cost-center allocation.
Build admin-facing analytics for adoption, usage, spend, and policy enforcement, helping organizations measure value and manage their deployments.
Deliver audit logs and change notifications that help administrators investigate activity, track configuration changes, and support compliance.
Set the technical bar for authorization correctness and reliability, with fast, consistent, explainable permission checks, well-defined failure behavior, and strong tenant isolation.
Partner with Product, Design, Security, Sales, and Customer Success to translate complex enterprise requirements into reusable platform capabilities and intuitive admin experiences.
4+ years of software engineering experience, with a track record of owning complex backend systems from design through production operation.
Strong system design skills, including building reliable, scalable, multi-tenant SaaS platforms with clear security and isolation boundaries.
Strong proficiency in a backend language such as Python, Go, or Rust, and hands-on experience with cloud infrastructure such as AWS and Kubernetes.
Deep expertise in at least one of the following:
Enterprise identity and provisioning, including OAuth, OIDC, SAML, and SCIM.
Permissions platforms, fine-grained authorization, and policy enforcement.
Encryption, customer-managed keys, and key lifecycle management.
Enterprise admin platforms, audit infrastructure, or usage and spend analytics.
Experience building or integrating enterprise identity and access systems, including platforms such as WorkOS, Okta, or Microsoft Entra ID.
Sound technical judgment in security-sensitive systems, balancing threat models, authorization correctness, and failure behavior with usability and delivery speed.
A track record of leading ambiguous, cross-team initiatives from architecture through adoption, setting technical direction for shared platforms, and raising engineering quality through mentorship.
If you’re excited about this role, we encourage you to apply even if you don’t meet every qualification. We value demonstrated impact, deep ownership, and the initiative to turn ambiguity into results.
","descriptionPlain":"ABOUT THE ROLE\n\nThe Enterprise Trust & Governance team builds the control plane that lets the world’s largest organizations deploy Perplexity broadly and with confidence. Computer and our agents work across a growing share of our customers’ environments, tools, and models. For administrators, that makes precise, enforceable control essential: who can do what, with which data, through which agents, and within what usage limits. This team makes those controls easy to manage, reliable and consistent across every product, and transparent to the people accountable for them.\n\nThis is a product and platform engineering role with end-to-end ownership, from shaping the architecture and policy models to shipping the experiences our customers’ administrators and security teams use every day. You’ll work across product and infrastructure teams to turn complex enterprise requirements into reusable primitives and intuitive controls. The scope spans identity and provisioning, fine-grained role-based access across connectors, tool actions, and models, customer-managed encryption keys, admin APIs, audit logs, and policy and usage controls. Strong governance helps enterprises move from pilots to company-wide rollouts and gives them the confidence to entrust agents with greater responsibility over time.\n\n\n\n\nKEY RESPONSIBILITIES\n\n - Own enterprise identity and provisioning, including SSO (SAML/OIDC), SCIM, WorkOS integrations, and support for identity providers such as Okta and Microsoft Entra ID.\n\n - Build the permissions platform, with fine-grained roles and permissions for connectors, tool actions, models, and model effort levels, enforced consistently across products and agent workflows.\n\n - Design and ship secure, well-documented admin APIs for audit logs, members, groups, roles, and settings.\n\n - Build policy controls for model and feature availability, staged rollouts, model deprecations, usage and spend limits, alerts, and cost-center allocation.\n\n - Build admin-facing analytics for adoption, usage, spend, and policy enforcement, helping organizations measure value and manage their deployments.\n\n - Deliver audit logs and change notifications that help administrators investigate activity, track configuration changes, and support compliance.\n\n - Set the technical bar for authorization correctness and reliability, with fast, consistent, explainable permission checks, well-defined failure behavior, and strong tenant isolation.\n\n - Partner with Product, Design, Security, Sales, and Customer Success to translate complex enterprise requirements into reusable platform capabilities and intuitive admin experiences.\n \n \n\n\nQUALIFICATIONS\n\n - 4+ years of software engineering experience, with a track record of owning complex backend systems from design through production operation.\n\n - Strong system design skills, including building reliable, scalable, multi-tenant SaaS platforms with clear security and isolation boundaries.\n\n - Strong proficiency in a backend language such as Python, Go, or Rust, and hands-on experience with cloud infrastructure such as AWS and Kubernetes.\n\n - Deep expertise in at least one of the following:\n \n - Enterprise identity and provisioning, including OAuth, OIDC, SAML, and SCIM.\n \n - Permissions platforms, fine-grained authorization, and policy enforcement.\n \n - Encryption, customer-managed keys, and key lifecycle management.\n \n - Enterprise admin platforms, audit infrastructure, or usage and spend analytics.\n\n - Experience building or integrating enterprise identity and access systems, including platforms such as WorkOS, Okta, or Microsoft Entra ID.\n\n - Sound technical judgment in security-sensitive systems, balancing threat models, authorization correctness, and failure behavior with usability and delivery speed.\n\n - A track record of leading ambiguous, cross-team initiatives from architecture through adoption, setting technical direction for shared platforms, and raising engineering quality through mentorship.\n\nIf you’re excited about this role, we encourage you to apply even if you don’t meet every qualification. We value demonstrated impact, deep ownership, and the initiative to turn ambiguity into results."},{"id":"da212c9c-3c11-4e8e-8f97-e176b4876bea","title":"Global Treasury Manager, Investments & Risk","department":"Finance","team":"Finance","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2026-10-19T18:27:06.294+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/perplexity/da212c9c-3c11-4e8e-8f97-e176b4876bea","applyUrl":"https://jobs.ashbyhq.com/perplexity/da212c9c-3c11-4e8e-8f97-e176b4876bea/application","descriptionHtml":"About the Role
This is a foundational treasury role within the Finance team. As we continue with rapid growth, you will own the day-to-day mechanics of cash, optimal capital allocation, banking, and liquidity at a company that commits significant capital to compute and infrastructure. The role sits between Accounting and Strategic Finance with direct exposure to the VP of Strategic Finance. You should want to build the function, not inherit one.
Responsibilities
Cash and Liquidity Management
Own daily cash positioning across operating accounts and entities across various banking and treasury partners, and maintain the rolling cash forecasts
Own bank account administration across all entities and banking partners, including account openings and closures, signer updates, KYC requests, and portal access reviews.
Oversee payment controls, including approval workflows, segregation of duties, and review of high-value or unusual wires.
Manage the company’s investment portfolio, including money market funds, bank deposits, and separately managed accounts, in line with the investment policy, and oversee the external managers who run it.
Design and build an in-house investment and hedging program, including direct fixed income, compute price hedging, and yield rates
Develop management reporting covering portfolio performance, market conditions, and policy compliance for leadership and board
Monitor FX exposure from international entities and vendors, and support hedging analysis and execution.
Automate repeatable treasury work such as cash positioning, bank reconciliations, and reporting using AI and workflow tools, while keeping people accountable for every approval and movement of money.
Prepare FBAR filings, manage letters of credit and bank guarantees, and support audit requests related to cash and investments.
Qualifications
4-7 years in corporate treasury, cash management, banking, audit, or strategic finance; high-growth technology or startup experience preferred
Experience with developing and managing an in-house investment program and market hedging
Working knowledge of cash forecasting, bank operations, payment rails, and short-duration fixed income.
Strong controls mindset and attention to detail: this role touches money movement, and accuracy is non-negotiable.
Clear written communication, sound escalation judgment, and comfort building process from scratch.
Nice to have: FX hedging, treasury management systems, debt or credit facilities, IPO and SOX readiness, or CTP, CFA, or CPA progress.
The Workplace Experience team powers and connects the workday for all Perplexity employees across our global offices.
We are hospitality and experience-driven at the core. We are made up of People people, meaning that we love supporting each other and all of the People in our workplace. We take on the good and the bad with optimism and with a positive, kind approach to solving problems, dealing with the obstacles handed to us, and proactively creating good around us. We think about each moment through the lens of our colleagues (our customers) so that we can create thoughtful and memorable experiences no matter what task we have at hand.
Our San Francisco office of approximately 200+ seats is located in SOMA. The SF Sr. Workplace Coordinator will be a part of the global Workplace team, and will be responsible for all office operational, coordination, and administrative tasks while cultivating a beautiful, positive, and productive workplace.
Keep the SF office running in partnership with the Workplace Coordinator, covering day-to-day reception, operations, vendor relationships and services, employee health and safety compliance, and facility maintenance
Create a wonderful workplace experience for employees, visitors, recruits, customers and vendors, keeping the office tidy, clean, organized and polished throughout the day
Open and close the office daily (8:30am - 5:00pm), and be on site when no one else is for special projects, maintenance or moves
Administer SF office access and visitor management, including badge setup and removal, guest registration and building-security lists, in partnership with Physical Security and IT
Manage team mail and deliveries, from small packages to large and freight deliveries, by triaging, distributing and keeping it all organized
Manage inventory and order all office and kitchen supplies while tracking spend and working within the office budget, and help remotely with supply ordering for small neighboring offices
Build relationships with building management, maintenance and cleaning staff, and external parties such as contractors and suppliers, including quality control, vendor accountability and delivering feedback
Manage vendor and contractor paperwork and logistics, including insurance certificates, contractor access and freight elevator bookings
Help coordinate design and construction projects and act as the on-site contact
Own the SF and Palo Alto workplace ticket queue, triaging, resolving and routing requests in a kind and timely manner and keeping requesters updated through close
Own SF office communications and documentation, including the office guide or wiki, Slack announcements to employees and leaders, and building notices
Organize, monitor and communicate facility and building safety preparedness to employees
Produce thoughtful and inclusive office experiences and events, working with the Workplace team to stay consistent with other offices and the global strategy
Visit the Palo Alto office as needed to support on-site operations, supplies and employee requests
Help with ad-hoc projects when time allows, and contribute in ways beyond this high-level overview of the role
5-7 years of experience working in facilities, workplace operations, office administration, or hospitality fields
Proficiency with G-Suite Products or the ability to learn software quickly
Excellent organization, planning and prioritization skills
Exceptionally strong ownership and can-do attitude with an operational mindset
Comfortable working autonomously, juggling multiple tasks under tight deadlines, switching gears at the drop of a hat, and having a “no task too small” mentality
Willingness to jump in where needed, picking up projects and checking things off lists even when it lands on your plate unexpectedly
Excellent written, non-verbal, and verbal communication skills; the ability to work well with various personality types, and are receptive to feedback...all while maintaining a high degree of professionalism and confidentiality
Genuine passion for supporting others and a contagiously positive attitude
The capability to anticipate others' needs and act with patience, kindness, and firmness
An eye for detail with regards to all things from process to projects to space to events
The ability to maintain a professional and kind game face even when things aren’t going as planned or desired; a propensity for problem solving quickly and quietly
A solid sense of self awareness and the desire for feedback to adapt and grow
Perplexity is AI for people who expect more. This role brings that same standard to how our data team works, with AI at the center of everything we do.
We're looking for someone who's been a great data scientist, analytics engineer, or data engineer: the kind of person who knows which metric actually matters, can design an A/B test that answers the real question, has gone deep on a data model because something didn't add up, and has decided that the highest-leverage thing they can do next is build AI systems that fundamentally change how data science gets done.
You'll build AI agents and internal systems that can increasingly handle end-to-end analysis workflows: forming hypotheses, writing and running queries, interpreting results, and drafting recommendations with the right evaluation, review, and guardrails. You'll build the retrieval infrastructure and evaluation loops that let AI systems query the warehouse reliably. You'll create workflows that detect, diagnose, and help fix data issues before they become company-wide problems. You'll build the infrastructure that multiplies what a small data team can ship.
You'll join a data team that's already using AI across its work. The next step is turning those individual workflows into scalable systems, shared tools, and an AI-native operating model that becomes a benchmark for how modern data teams work.
Build AI agents that do data science - not just SQL copilots, but systems that can safely explore data, form hypotheses, run queries, interpret results, and generate actionable recommendations with clear evaluation and human review loops.
Make AI systems query the warehouse reliably - build the retrieval infrastructure and evaluation loops that let agents use our semantic context and metadata accurately.
Accelerate the AI-native data workflow - turn the best existing AI-assisted workflows into repeatable systems, reusable tools, and patterns the whole data team can adopt.
Automate the data lifecycle - build self-healing pipelines, automated dbt model generation and validation, data quality agents, and diagnosis workflows that reduce manual firefighting.
Ship AI-powered experiment analysis - build agents that interpret A/B test results, flag statistical issues, identify likely drivers, and draft ship/no-ship recommendations.
Turn the data team into a product team - build internal data products that stakeholders use every day, replacing ad hoc requests with self-serve AI interfaces.
Own the full lifecycle - identify high-leverage problems, prototype with LLMs, evaluate accuracy, design the UX, ship to production, and monitor quality over time.
6+ years in data science, analytics engineering, data engineering, or a related role. You've been close enough to real data work to know what should and should not be automated.
Deep SQL and analytics judgment - you can reason through metrics, experiments, data models, and messy warehouse reality without relying on a tool to think for you.
Strong product sense - you understand what stakeholders actually need, what makes a workflow adoptable, and how to turn a prototype into a product people use.
Hands-on LLM experience - you've built with frontier models, agents, RAG systems, evals, or AI-powered workflows and have opinions about where they work and where they fail.
Pipeline and modeling fluency - you've worked with dbt, warehouse schemas, data quality issues, and the practical tradeoffs behind durable data systems.
Builder mentality - you see a manual process and immediately think about how to systematize it. You ship fast, measure quality, and iterate.
Autonomy - this is a new function. You'll help define the roadmap as much as execute it.
Experience building production AI agents or agent evaluation systems.
Experience with Snowflake, semantic layers, or metadata systems.
Experience building internal tools, Slack bots, CLIs, or developer productivity products that people actually used.
Strong experimentation background, including metric design and statistical interpretation.
Experience with BI tools and the judgment to know what should be automated versus kept human-reviewed.
Early-stage startup experience.
Set the standard for the industry - Perplexity's data team is already using AI across its work. You'll turn that into something other data teams look to as the benchmark.
Build AI with AI - Perplexity builds AI for people who expect more. You'll bring that same level of ambition to how the company works with data.
Frontier models, day one - you're at an AI company with access to frontier infrastructure and people who deeply understand what's possible.
Massive leverage - the systems you build will multiply the output of every data team member and every stakeholder who needs data.
Direct impact - small team, no layers of approval. Idea to shipped system in days, not quarters.
The charter of Perplexity’s Core Experience team is to create a cohesive, intuitive, and delightful user experience by integrating cutting-edge AI capabilities and research into a unified system. The Core Experience team works closely with product design teams to ship a world-class web app that’s used by millions of people every day. We imagine and build the interfaces through which people experience the promise of AI.
We are seeking a talented engineer with an uncompromising dedication to the craft of frontend web development. You’ll help us to define the future of human-agent collaboration: establishing intuitive mental-models, patterns, and state-representation. You’ll work closely with design to prototype, architect, and engineer novel interfaces for interacting with AI collaborators.
Build and ship polished, high-craft, intuitive web interfaces
Constantly improve high-visibility surfaces like agent chat threads, artifact editing, and message composition
Partner directly with design to turn visionary ideas into production implementations
Solve complex problems across architecture, state-management, animation, and performance-optimization
Collaborate with capabilities and research teams to synthesize the latest research into coherent production experiences
Support other product teams by designing reusable libraries and SDKs to maintain a high quality-bar across all surfaces of the product
Strong proficiency in modern web technologies: React, TypeScript, CSS, etc.
Exceptional taste: relentless attention to detail, from aesthetics to performance to code-quality
Comfortable owning projects end-to-end, working at high velocity in an ambiguous environment where the industry changes by the day
Keen product sensibilities: being able to reason about what will work, what won’t, and articulate why
Customer obsession: always thinking about how what you’re building will touch the person on the other side of the screen
Perplexity is seeking energetic engineers to join our highly driven Agent Engine team. The Agent Engine team designs and builds powerful agentic experiences including Perplexity Computer, the Comet ecosystem, our Agent API, and more. In short, we build frontier intelligence systems for the world's most discerning users.
As an engineer on our Agent Engine team, you'll bring AI expertise, sharp product intuition, and a tinkerer's mindset to advance the frontier of what agents can accomplish for our millions of devoted users. You'll work across engineering and applied research to solve many open problems in AI, including:
Designing frontier agent harnesses and systems to perform high-stakes, mission-critical work for our users;
Leveraging action and decision models that determine, based on complex multimodal states, how to accomplish user-specified objectives;
Providing consistently excellent experiences across local execution, headless cloud, custom executors, and other environments through sound system design and flexible abstractions;
Developing permission architectures, payload classifiers, and other methods to implement secure-by-design agentic capabilities;
Designing optimal data representations and modes of interaction between agents and their environments;
and much, much more.
Strong foundational familiarity with the AI systems stack.
Proficiency in Python (bonus points for TypeScript, Go, and/or Rust).
Significant experience in at least one of the following areas:
Harness engineering
Agent Skills and plugin architectures
Model training and reinforcement learning
Browser technologies (CDP, Playwright, extension development, etc.)
Strong technical intuition and taste for user experience excellence.
Comfortable working with a small, fast-moving team; bias toward ownership.
A passion for shipping products that surprise and delight.
About the role
Perplexity's fraud prevention team protects our products, users, and infrastructure from fraud and abuse across the whole lifecycle: sign-up, authentication, payments, API usage, and product features. We build and operate a real-time decisioning platform together with the surrounding systems: data pipelines for detection and model training, integrations with product and payment systems, and internal tooling for investigation and response. As a software engineer on the team, you will own services end to end, from design to production operations, and work closely with fraud analysts, ML engineers, and product teams to make abuse expensive and legitimate usage frictionless.
Responsibilities
Design, build, and operate high-throughput, low-latency backend services for fraud detection and prevention
Build data pipelines and real-time feature computation that power detections and ML models
Collect and process trust signals
Integrate fraud decisions into product, auth, and payment flows across Perplexity
Own reliability of production services: observability, alerting, safe rollouts, incident response
Build internal tooling for investigation, enforcement, and auditability
Partner with fraud analysts to turn new abuse patterns into production detections quickly
Qualifications
5+ years building and operating high-throughput, latency-sensitive backend systems in production
Strong systems programming skills; Rust, Go, or C++ experience preferred (we write Rust)
Hands-on experience with Kubernetes, Terraform and cloud infrastructure
Solid data fundamentals: stream/batch computations, caching and storage trade-offs
Pragmatic, ownership-driven approach: ship incrementally, measure, and make failures degrade safely
Nice to have
Fraud prevention, anti-abuse, or payments-risk domain experience
Experience serving ML models in production
Client-side experience (web or mobile) for signal collection
Perplexity is looking for a senior commercial attorney to join our Legal team. We are looking for an independent, business-practical yet diligent-minded professional who can carry live deals, extend the infrastructure we have already built, and hold the line on the terms that matter as deal volume, complexity, and regulatory surface all grow.
You will negotiate directly with large enterprise customers across a large variety of industries including financial services, healthcare, government, and other regulated industries, partner daily with Enterprise Sales, Partnerships, Deal Desk, Security, Privacy, Product, and Finance, and advise on the legal questions that come with agentic, retrieval, and API products deployed inside enterprise environments. This is a high-impact, hands-on role for someone who is genuinely a self starter.
This role is for you if you get energy from ambiguous, first‑of‑their‑kind problems and enjoy designing repeatable approaches that scale. You default to enabling the business, frame risk in practical terms, and focus on durable structures rather than one‑off fixes.
Independently lead end-to-end drafting, review, and negotiation of Enterprise customer agreements across our suite of offerings: Enterprise Pro, Enterprise Max, Computer, and API product lines, including MSAs, order forms, SaaS and API terms, DPAs, BAAs, security exhibits, customer-paper redlines, product-specific addenda, and public-sector vehicles such as GSA MAS orders and federal RFP responses.
Serve as a trusted legal partner to Enterprise Sales, Partnerships, Deal Desk, and Customer Success, providing fast, practical, business-aligned counsel that accelerates deal velocity, protects the terms that matter, and scales as the Sales organization grows.
Extend and maintain the existing Enterprise negotiation playbook, DPA and Privacy Notice architecture, product-specific term libraries, and fallback positions as our product surface, customer mix, and regulatory environment evolve, so that positions compound into reusable precedent rather than being re-litigated deal by deal.
Advise on AI-specific contract terms for enterprise deployments, including bespoke data postures; negotiate output ownership and liability, agentic-feature risk allocation and translate product operations into enterprise contract commitments.
Partner cross-functionally with Product, Engineering, Security, Privacy, Finance, and Compliance to surface and address legal risk early, particularly on customer-data flows, enterprise integrations, model routing, and customer-specific compliance requirements.
Monitor the evolving regulatory landscape for enterprise AI, data protection, and public-sector procurement (GDPR, CCPA/CPRA, HIPAA, DORA, EU AI Act, sector-specific frameworks) and translate emerging requirements into practical contractual positions and updated playbook guidance.
Represent Perplexity Legal externally on customer negotiation calls with counterparty counsel at sophisticated enterprises.
Exceptional communicator who owns deadlines, proactively manages internal and external expectations, and escalates early and clearly to protect deal timelines and momentum.
A proactive problem‑solver who defaults to “yes, and” when engaging with internal stakeholders: you look for ways to make deals work, frame risk clearly, and design long‑term, scalable solutions.
A disciplined drafter who favors surgical, minimal‑footprint edits over wholesale rewrites, grounds positions in documented rationale, and preserves material legal meaning and risk allocation under time pressure.
Someone who can articulate complex legal risk and concepts in the form of simple, actionable terms for non‑legal stakeholders, leads with practical “how to make this work” advice, and designs creative, long‑term solutions to novel, cutting‑edge challenges.
Someone genuinely excited by novel, cutting‑edge challenges in AI products and the commercial and regulatory questions they surface, and who enjoys turning ambiguity into clear, reusable approaches.
JD and in good standing with an active U.S. state bar membership.
At least 7+ years of combined law firm and in-house experience, with a substantial in-house component, and a demonstrated track record of independently owning complex enterprise SaaS or API deals from the vendor side, including work with regulated-industry customers (financial services, healthcare, or government).
Experience advising on commercial terms and pricing structures for high‑growth SaaS/API businesses, including usage‑based and tiered pricing, pilots, and expansion frameworks.
Familiarity with data protection and security frameworks (GDPR, CCPA/CPRA, DORA, EU AI Act) and hands-on experience negotiating DPAs.
Strong business acumen and the ability to partner effectively with Sales, Deal Desk, Product, Security, and executive stakeholders on live deals under time pressure.
Proven ability to triage and progress multiple concurrent deals under tight timelines while maintaining rigorous diligence, clear risk assessment, and high‑quality documentation.
Demonstrated ability to build and extend durable legal infrastructure — playbooks, templates, precedent repositories, or self-serve tools.
Ability to communicate clearly with business and technical audiences and to translate legal concepts into usable guidance for non-lawyers, including Sales and Deal Desk.
Hands-on, can-do approach to tackle projects large and small, low-ego approach to working closely with the Director and across the organization, and judgment about when to escalate and when to close.
Positive collaborative attitude, comfort with ambiguity and a fast pace, high level of integrity, and intellectual curiosity about AI technology.
Prior experience with public-sector contracting or with on-prem deployment structures.
Experience with AI-native contracting questions related to agentic products
Experience with contracting with regulated entities (financial institutions or health care), especially in the EU/UK.
We're hiring a Legal Response Specialist on Perplexity's Support team to handle legal and other sensitive tickets. You'll help Legal answer routine requests for information and support Governance, Risk & Compliance, or GRC, on privacy and security requests.
You'll review cases, write responses, and follow up until the work is done. Support Engineering owns the routing and safeguards that keep these tickets from being missed, answered by AI, or automatically closed.
Monitor designated Support and Legal channels, assess urgency, and route requests for human review. Promptly escalate government, court, law enforcement, and legal-threat requests according to approved procedures.
Respond to routine requests using Legal-approved templates and guidance. Escalate matters requiring legal interpretation or disclosure of user information.
Answer routine requests for information under Legal's guidance. Gather account history and draft responses for matters that need review.
Help GRC process data subject requests and meet deadlines. Follow approved identity-verification and data-handling procedures.
Coordinate security questionnaires and data protection agreements, with Legal and GRC responsible for substantive review and approval.
Track each case through completion, including after handoffs. Record decisions, follow up on deadlines, and confirm the work is done before closing.
Work with Support Engineering to test routing, AI bypass rules, auto-close protections, and alerts. Investigate missed cases and verify fixes.
Keep approved replies and handoff instructions current with Legal and GRC. Arrange backup coverage so cases keep moving when you're out.
Handle other sensitive support escalations. Report backlog, response times, overdue cases, and recurring problems to Support, Legal, and GRC.
5+ years in support, trust and safety, legal or privacy operations, or compliance, ideally at a technology company.
Experience handling legal, privacy, or law enforcement requests.
Working knowledge of GDPR, CCPA, and data subject requests.
Judgment about when to involve Legal or GRC, and care with confidential and privileged information.
Clear writing, including in sensitive customer conversations.
Ability to manage competing deadlines and follow through without reminders.
Experience improving support processes with technical teams, including automation and AI safeguards.
Experience with Intercom, Decagon, Linear, or Kodex.
Paralegal, privacy, or compliance experience or certification.
Experience with security questionnaires, SOC 2, ISO 27001, or HIPAA.
Familiarity with AI products or data tools for case reviews.
We're hiring a Compensation Lead to build Perplexity's compensation function and own its day-to-day execution. You'll build the programs and processes that support how we hire, recognize, and retain people.
You should be comfortable moving between program design and an individual offer, building longer-term structure while keeping today's decisions moving. The goal is a compensation approach that is competitive, financially sound, and clear enough for people to use, without adding unnecessary complexity.
Build the compensation foundation. Assess existing practices, data, and tools; prioritize the gaps; and develop recommendations on compensation philosophy, market positioning, and cash and equity guidelines.
Develop salary ranges and market benchmarks. Establish a consistent approach to pricing roles across functions and locations. Partner with People and business leaders on job scope and leveling, and explain where market data is useful or incomplete.
Own day-to-day compensation decisions. Be the primary partner for offers, promotions, pay adjustments, and compensation questions. Evaluate recommendations against market data, internal equity, and budget, with clear approval paths for exceptions.
Design and run compensation reviews. Build the calendar, planning models, manager guidance, and approval process. Coordinate with Finance, People Operations, Payroll, and equity partners to carry decisions through to accurate implementation.
Inform leadership decisions. Model the cost and employee impact of proposed changes to salary and equity programs. Present a recommendation and its trade-offs, then own execution once approved.
Identify and address inconsistencies. Assess pay compression and potential inequities across teams, levels, and locations. Partner with People leadership and Legal on appropriate reviews and recommend actions.
Build processes people can use. Establish decision records, recruiter and manager guidance, and clear explanations of compensation programs. Improve recurring workflows so consistent decisions don't depend on individual knowledge or one-off conversations.
Own the data and tools behind the work. Establish reliable compensation records, select and manage benchmarking resources, and improve reporting and quality checks. Use approved automation and AI tools where they help, with appropriate protection for employee information and verification of results.
Experience building compensation programs: You've established or substantially rebuilt compensation frameworks and processes with limited infrastructure, and stayed accountable for running them after launch.
Technical compensation depth: Hands-on experience with market pricing, salary ranges, cash and equity programs, compensation reviews, and individual pay recommendations.
Strong analytical judgment: You can build and audit models, reconcile imperfect data, and explain your assumptions. You know when a benchmark is a useful comparison and when it misses the role.
Ability to influence decisions: You can turn analysis into a clear recommendation, discuss trade-offs with leadership, and constructively challenge an approach that isn't working.
Independent, hands-on execution: You can set priorities, build a workable process, and manage urgent requests without losing progress on longer-term work. You're comfortable being both the person designing the program and the person checking the data.
Discretion and clear communication: You handle sensitive information carefully and explain compensation decisions in language that recruiters, managers, and employees can understand.
Perplexity is seeking an intrepid Member of Technical Staff to take on one of the AI industry's most unique engineering roles. You'll work directly with Perplexity's senior leadership to spearhead a broad portfolio of strategic technology initiatives across policy, law, operations, and corporate affairs.
As a Member of Technical Staff in the Policy & Strategic Initiatives group, you'll occupy a front-row seat to the foremost policy issues animating the AI ecosystem. You'll also get a panoptic view of how leading AI companies operate, make decisions, and engage with broader society.
Those seeking to marry technical expertise and broader interests in law, policy, and corporate affairs will find a home in this role. You'll make contributions to Perplexity that defy traditional boundaries, with a bench of mentors who will push you to learn and grow day after day.
Your work will be both highly interdisciplinary and firmly grounded in engineering rigor. On any given day, you might:
Harness AI agents to research high-stakes policy and regulatory issues pertaining to Perplexity.
Build automated platforms for harvesting, prioritizing, and patenting Perplexity's inventions, in collaboration with our AI researchers and intellectual property attorneys.
Work hands-on with our Legal team and outside counsel in support of high-tech litigation matters in U.S. federal court.
Engineer privacy and compliance systems that efficiently scale with our growing portfolio of frontier AI products (such as Comet and Computer).
Contribute to regulatory filings and responses that require impeccable command of AI technology, Perplexity's own systems, and the broader policy landscape.
Embed with our People team to implement first-party software solutions for recruiting, labor compliance, and performance management.
Participate in meetings with Capitol Hill, executive branch officials, international partners, and civil society as a subject-matter expert on both AI technology and policy.
The above is a small sampling of activities; no two days will be the same, and your work will take you to all corners of our company. You'll interact each day with Perplexity's senior leaders, who will come to rely on you as a creative problem solver for simple and complex matters alike.
No single profile defines our ideal candidate for this role. Here are some examples of people who might thrive here:
Exceptionally talented early-career engineers (new grads welcome) who are (1) well-read in law, tech policy, or economics, and (2) wish to grow in both technical and non-technical disciplines.
We welcome candidates who plan to attend law school or PhD programs in the future; we ask for a minimum 2-year commitment (i.e., you would apply for the entering class of 2028 or later).
Experienced engineers at top tech companies who wish to develop policy, business, and operations chops.
Lawyers or economists (new JD or PhD grads welcome) who've kept their engineering skills sharp and are excited to reimagine their fields in the age of AI.
This is a non-exhaustive list; other profiles may also be great fits.
No matter which profile describes you, we'll also be looking for:
Evidence of exceptional ability and 99th-percentile work ethic.
Strong technical skills at or above Perplexity's hiring bar for software engineers.
Fluency with frontier intelligence tools (such as Perplexity Computer).
High intrinsically-enforced standards for the craft and quality of your work.
Strong communication and writing skills, ideally demonstrated via samples of past written work product.
Curiosity and excitement about new and unfamiliar fields; eagerness to redefine your job every 3-6 months.
Ability to quickly dive deep in any given field and develop mastery rivaling that of domain experts.
Unimpeachable judgment, integrity, and discretion to be entrusted with the company's most important matters.
A service-oriented attitude that continually questions how company systems and processes might better serve stakeholders.