Parasail is building the AI Supercloud, a programmable deployment network that gives AI builders production ready inference endpoints in minutes, scaling to massive traffic without contracts, infrastructure management, or vendor lock in. By aggregating global GPU supply and automating inference optimization, we let companies deploy custom AI models against aggressive latency, throughput, and cost targets, all on simple pay per token economics.
We're one of the fastest moving companies in the second wave of inference providers. Since launching in April 2025, Parasail has grown to process over 500 billion tokens per day at roughly 30% month over month revenue growth, powering AI native teams like Elicit, mem0, Gravity, Kotoba, and Venice. In April 2026 we closed a $32M Series A (co led by Touring Capital and Kindred Ventures, with Samsung NEXT, Flume Ventures, and Banyan Ventures), bringing total funding to $42M. We're using that capital to deepen our orchestration and inference optimization, expand our global compute fabric, and strengthen partnerships across the GPU and data center ecosystem.
It's an inflection moment. Demand for developer controlled AI is exploding, and the customers we support are running some of the most demanding inference workloads in the world. We're looking for engineers who want to sit at that frontier.
We want engineers with real depth in AI/ML and low level systems who see customer support as a product to be engineered, not a queue to be cleared. Think of this less as a support role and more as an engineering seat positioned right at the customer's side.
We're hiring problem solvers, not ticket closers. The issues that reach you are genuinely hard, because they come from production AI workloads operating at the edge of what's possible. You'll sit on the engineering team and commit production code next to the people building the core platform. The one twist is that your priorities are drawn from what the frontier of customer reality teaches you.
In this role you'll:
Write code that compounds. Land bug fixes, new capabilities, and automation that lift the experience for every Parasail customer, not only the person who flagged the problem.
Partner with customers directly. Jump into Slack, email, and live calls to help developers and ML engineers troubleshoot, tune, and design their inference workloads.
Engineers support that scale. Build the dashboards, internal tools, and automated workflows that let a small team deliver great support to a fast growing customer base, and show up sharply at the moments that matter most.
Turn signal into a roadmap. Distill recurring field patterns into specific changes: documentation fixes, API improvements, and proposals for new features.
3+ years of experience in a customer facing technical role.
A real area of strength. You go deep in either low level infrastructure or ML/AI, and you can hold your own in the other.
Systems fundamentals. Comfort across operating systems, file systems, networking, performance profiling, distributed systems, and cluster management.
Hands on AI/ML. You've trained models, squeezed performance out of inference, worked directly with GPUs, or built ML infrastructure yourself.
A bias toward automating. When you hit a manual, repetitive process, your reflex is to engineer it away, and you have the chops to actually do it.
Strong communication. You can walk a customer through a thorny systems issue, file a tight reproducible bug report, and write documentation that lands, all while coordinating internally to get the fix out the door.
Experience supporting or operating a developer facing platform or API.
A track record of customer facing technical work: solutions engineering, forward deployed engineering, or similar.
Familiarity with the modern inference stack (vLLM, TensorRT LLM, CUDA, Kubernetes, or comparable tooling).
Parasail is building the AI Supercloud, a programmable deployment network that gives AI builders production ready inference endpoints in minutes, scaling to massive traffic without contracts, infrastructure management, or vendor lock in. By aggregating global GPU supply and automating inference optimization, we let companies deploy custom AI models against aggressive latency, throughput, and cost targets, all on simple pay per token economics.
We're one of the fastest moving companies in the second wave of inference providers. Since launching in April 2025, Parasail has grown to process over 500 billion tokens per day at roughly 30% month over month revenue growth, powering AI native teams like Elicit, mem0, Gravity, Kotoba, and Venice. In April 2026 we closed a $32M Series A (co led by Touring Capital and Kindred Ventures, with Samsung NEXT, Flume Ventures, and Banyan Ventures), bringing total funding to $42M. We're using that capital to deepen our orchestration and inference optimization, expand our global compute fabric, and strengthen partnerships across the GPU and data center ecosystem.
It's an inflection moment. Demand for developer controlled AI is exploding, and the customers we support are running some of the most demanding inference workloads in the world. We're looking for engineers who want to sit at that frontier.
Sales Engineers are how Parasail earns the trust of the teams building on us. You'll be benchmarking inference, reasoning about latency and cost tradeoffs, and writing real code to get a customer unblocked, not just narrating slides. It's also deeply human: the same week you might pair with a founder's lead engineer in a shared Slack channel and walk a VP through why our numbers hold up. What you learn in those rooms is some of the clearest signal our product team gets, and we expect you to carry it back.
A typical engagement runs through your hands end to end:
Understand the problem. Run deep discovery to fully understand the customer's requirements and use case, what they've optimized for in the past, where they're investing today, and what \"good\" actually looks like to them, before you propose anything.
Prove it on Parasail. Scope a focused proof of concept, agree with the customer on how success will be measured, and drive it to a working result alongside our product and engineering teams. You keep the scope defined and the timeline real.
Tune for production. Run inference sweeps, set performance baselines for their workload, and dial in deployments that hit their specific latency, throughput, and cost numbers. Recommend the right model and serving approach, and help them stand up the evals that keep quality honest once they scale.
Stay their technical partner. Keep the relationship healthy from the first engineer who championed you to the executive who signs off, sustain momentum through longer cycles, and turn what you see in the field, the recurring friction, the missing capability, the pattern across accounts, into concrete input for our roadmap.
A few years of technical, customer facing experience. Roughly 4+ years where you've been the technical owner of customer relationships, in solutions or sales engineering, forward deployed engineering, applied AI, or a comparable hands on role.
Real fluency with inference. You understand serving models at scale and the tradeoffs that come with it, and you can speak credibly about latency, throughput, and cost without hand waving.
You write code. Python specifically, at a level where you can build, read, and debug something that runs in production, not only prototype it.
Cloud at scale. Practical experience operating on AWS, Azure, or GCP and serving real workloads on them.
A communicator people trust. You can lead a focused discovery call, hold your own in front of an executive, and get into the weeds with an engineer, adjusting your altitude to the room.
Hands on time with modern inference tooling such as vLLM, TensorRT LLM, CUDA, or Kubernetes.
A working sense of when and how to fine tune, and the methods behind it.
Experience moving fluidly across engineering, product, and go to market without dropping the thread.
Parasail is redefining AI infrastructure by enabling seamless deployment across a distributed network of GPUs, optimizing for cost, performance, and flexibility. Our mission is to empower AI developers with a fast, cost-efficient, and scalable cloud experience—free from vendor lock-in and designed for the next generation of AI workloads.
This is an experienced individual contributor role and our first dedicated developer-facing hire. You'll write the technical thought leadership content, developer documentation, and performance benchmarks that show how Parasail performs and why it's built the way it is. You'll grow our presence in the communities developers already inhabit and bring what you hear back into engineering, product, and GTM. You'll work alongside our CEO's founder platform, with content and community efforts that amplify each other rather than compete.
Technical content and developer documentation are the core focus. Community presence and events grow from that foundation.
Own developer-facing education and build developer trust. Own developer documentation and educational content, including tutorials, guides, demos, and long-form technical content (deep dives, benchmarks, visual essays) that establishes Parasail as a thought leader in inference. Partner closely with engineering and product on in-product DX and activation.
Grow a thriving developer community. Grow Parasail's developer community through consistent, high-quality touchpoints, including Discord, regular office hours, and an active presence in external communities (r/LocalLLaMA, Hacker News, target external Discords). Synthesize what you hear into a feedback loop that shapes engineering, product, and GTM priorities.
Increase developer brand awareness through industry events. Host and represent Parasail at hackathons, conferences, meetups, and other developer events.
6+ years of combined software engineering, DevRel, and technical content experience; open to exceptional candidates with less experience if your portfolio is unusually strong
Strong technical fluency in inference, model serving, or adjacent infrastructure
Prior experience launching or growing a developer community
You've built AI workflows into your craft and it shows up in what you ship
Comfort working in ambiguity; you'd rather walk in with a thesis and adjust than wait for direction
Relationships with AI builders, founders, and ML practitioners; you're already in the rooms (online and in person) where this audience lives
A signature piece of public work that's traveled: a popular newsletter, a long-form series that gets cited, a book, talks at conferences or meetups, or comparable signal
A track record of going deep on technically demanding problems through ML infra, backend or distributed systems work, open-source contributions, or a portfolio of technical writing, projects, and community work that demonstrates the same dept
Competitive base + meaningful equity
Comprehensive health, dental, and vision coverage
Generous PTO and company holidays
401(k), Family Planning (Fertility)
Opportunity to work at the frontier of AI infrastructure
Parasail is an equal opportunity employer that supports workplace diversity and does not discriminate on the basis of race, color, religion, gender identity/expression, national origin, age, military service eligibility, veteran status, sexual orientation, marital status, physical or mental disability, or any other protected class. Parasail is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.
","descriptionPlain":"Parasail is redefining AI infrastructure by enabling seamless deployment across a distributed network of GPUs, optimizing for cost, performance, and flexibility. Our mission is to empower AI developers with a fast, cost-efficient, and scalable cloud experience—free from vendor lock-in and designed for the next generation of AI workloads.\n\n\n\n \n\n\nABOUT THE ROLE\n\nThis is an experienced individual contributor role and our first dedicated developer-facing hire. You'll write the technical thought leadership content, developer documentation, and performance benchmarks that show how Parasail performs and why it's built the way it is. You'll grow our presence in the communities developers already inhabit and bring what you hear back into engineering, product, and GTM. You'll work alongside our CEO's founder platform, with content and community efforts that amplify each other rather than compete.\n\n\n\n \n\n\nWHAT YOU'LL DO\n\nTechnical content and developer documentation are the core focus. Community presence and events grow from that foundation.\n\n - Own developer-facing education and build developer trust. Own developer documentation and educational content, including tutorials, guides, demos, and long-form technical content (deep dives, benchmarks, visual essays) that establishes Parasail as a thought leader in inference. Partner closely with engineering and product on in-product DX and activation.\n\n - Grow a thriving developer community. Grow Parasail's developer community through consistent, high-quality touchpoints, including Discord, regular office hours, and an active presence in external communities (r/LocalLLaMA, Hacker News, target external Discords). Synthesize what you hear into a feedback loop that shapes engineering, product, and GTM priorities.\n\n - Increase developer brand awareness through industry events. Host and represent Parasail at hackathons, conferences, meetups, and other developer events.\n \n \n\n\nWHAT YOU’LL BRING\n\n - 6+ years of combined software engineering, DevRel, and technical content experience; open to exceptional candidates with less experience if your portfolio is unusually strong\n\n - Strong technical fluency in inference, model serving, or adjacent infrastructure\n\n - Prior experience launching or growing a developer community\n\n - You've built AI workflows into your craft and it shows up in what you ship\n\n - Comfort working in ambiguity; you'd rather walk in with a thesis and adjust than wait for direction\n\n\n\n\nNICE TO HAVES\n\n - Relationships with AI builders, founders, and ML practitioners; you're already in the rooms (online and in person) where this audience lives\n\n - A signature piece of public work that's traveled: a popular newsletter, a long-form series that gets cited, a book, talks at conferences or meetups, or comparable signal\n\n - A track record of going deep on technically demanding problems through ML infra, backend or distributed systems work, open-source contributions, or a portfolio of technical writing, projects, and community work that demonstrates the same dept\n\n\n\n\nWHAT WE OFFER\n\n - Competitive base + meaningful equity\n\n - Comprehensive health, dental, and vision coverage\n\n - Generous PTO and company holidays\n\n - 401(k), Family Planning (Fertility)\n\n - Opportunity to work at the frontier of AI infrastructure\n\n \n\nParasail is an equal opportunity employer that supports workplace diversity and does not discriminate on the basis of race, color, religion, gender identity/expression, national origin, age, military service eligibility, veteran status, sexual orientation, marital status, physical or mental disability, or any other protected class. Parasail is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities."},{"id":"ed1dc7fe-031e-40be-b61d-7153aa7a094a","title":"Senior Software Engineer, Distributed Systems","department":"Software Engineering","team":"Software Engineering","employmentType":"FullTime","location":"San Mateo","secondaryLocations":[],"publishedAt":"2026-06-22T22:58:21.514+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{"addressLocality":"San Mateo"}},"jobUrl":"https://jobs.ashbyhq.com/parasail/ed1dc7fe-031e-40be-b61d-7153aa7a094a","applyUrl":"https://jobs.ashbyhq.com/parasail/ed1dc7fe-031e-40be-b61d-7153aa7a094a/application","descriptionHtml":"Parasail is redefining AI infrastructure by enabling seamless deployment across a distributed network of GPUs, optimizing for cost, performance, and flexibility. Our mission is to empower AI developers with a fast, cost-efficient, and scalable cloud experience—free from vendor lock-in and designed for the next generation of AI workloads.
The Senior Software Engineer, Distributed Systems role at Parasail is crucial for ensuring the seamless deployment, scalability, and security of our AI platform. This position is tailored for individuals passionate about creating robust infrastructures that support complex AI workloads, with a strong emphasis on cloud compatibility, security, ease of use, and cost savings. You will work closely with AI-focused performance and solutions engineering teams, facilitating the orchestration of resources needed for high-performing AI applications, all while ensuring our infrastructure adheres to the highest standards of security and data privacy.
Microservice Architecture: Deep understanding of distributed application design patterns, service decomposition, and inter-service communication. Experience in building scalable and maintainable microservice-based systems.
Backend Development: Strong foundation in storage solutions and networking protocols. Ability to design and implement robust backend systems with optimized data management and network communication.
Programming Languages & Frameworks: Extensive experience with Java, Spring Boot, and Golang. Proficiency in developing enterprise-grade applications using modern development frameworks and tools.
Distributed Systems: Deep knowledge of distributed computing principles, including consistency models, fault tolerance, and scalability patterns. Experience in designing and maintaining large-scale distributed applications.
Cloud-Native Technologies: Proficiency in cloud platforms and Infrastructure as Code (IaC). Experience with containerization, orchestration, and automated infrastructure deployment using modern DevOps practices.
Large Language Models: Understanding of LLM technologies and their applications. Experience in integrating and working with AI language models in production environments, including model deployment and optimization.
5+ years of experience in backend or infrastructure, with exposure in Kubernetes and distributed computing environments.
Demonstrated ability to build and secure scalable, high-performance backend.
Hands-on to build brand new system and make end to end work
Excellent problem-solving skills, with a track record of designing solutions that address the complex needs of AI workloads.
While AI experience is not required, a demonstrated capacity to learn new technologies and stay up-to-date on the cutting edge is essential.
This role is pivotal in building a new breed of cloud architecture that enables enterprises to build powerful AI in their preferred environment with the same performance and economics as uncontrolled external services. This role ensures our AI solutions are not just innovative but also secure and sustainable. If you're passionate about learning the cutting edge of AI, building the future of infrastructure, and making a tangible impact to the early days of a company, we're excited to welcome you aboard.
","descriptionPlain":"Parasail is redefining AI infrastructure by enabling seamless deployment across a distributed network of GPUs, optimizing for cost, performance, and flexibility. Our mission is to empower AI developers with a fast, cost-efficient, and scalable cloud experience—free from vendor lock-in and designed for the next generation of AI workloads.\n\n\n\nThe Senior Software Engineer, Distributed Systems role at Parasail is crucial for ensuring the seamless deployment, scalability, and security of our AI platform. This position is tailored for individuals passionate about creating robust infrastructures that support complex AI workloads, with a strong emphasis on cloud compatibility, security, ease of use, and cost savings. You will work closely with AI-focused performance and solutions engineering teams, facilitating the orchestration of resources needed for high-performing AI applications, all while ensuring our infrastructure adheres to the highest standards of security and data privacy.\n\n\n\n\nTECHNICAL ABILITIES\n\n - Microservice Architecture: Deep understanding of distributed application design patterns, service decomposition, and inter-service communication. Experience in building scalable and maintainable microservice-based systems.\n\n - Backend Development: Strong foundation in storage solutions and networking protocols. Ability to design and implement robust backend systems with optimized data management and network communication.\n\n - Programming Languages & Frameworks: Extensive experience with Java, Spring Boot, and Golang. Proficiency in developing enterprise-grade applications using modern development frameworks and tools.\n\n - Distributed Systems: Deep knowledge of distributed computing principles, including consistency models, fault tolerance, and scalability patterns. Experience in designing and maintaining large-scale distributed applications.\n\n - Cloud-Native Technologies: Proficiency in cloud platforms and Infrastructure as Code (IaC). Experience with containerization, orchestration, and automated infrastructure deployment using modern DevOps practices.\n\n - Large Language Models: Understanding of LLM technologies and their applications. Experience in integrating and working with AI language models in production environments, including model deployment and optimization.\n \n \n\n\nQUALIFICATIONS\n\n - 5+ years of experience in backend or infrastructure, with exposure in Kubernetes and distributed computing environments.\n\n - Demonstrated ability to build and secure scalable, high-performance backend.\n\n - Hands-on to build brand new system and make end to end work\n\n - Excellent problem-solving skills, with a track record of designing solutions that address the complex needs of AI workloads.\n\n - While AI experience is not required, a demonstrated capacity to learn new technologies and stay up-to-date on the cutting edge is essential.\n\n\n\n\n\n\n\nWHAT YOU BRING TO THE TABLE\n\nThis role is pivotal in building a new breed of cloud architecture that enables enterprises to build powerful AI in their preferred environment with the same performance and economics as uncontrolled external services. This role ensures our AI solutions are not just innovative but also secure and sustainable. If you're passionate about learning the cutting edge of AI, building the future of infrastructure, and making a tangible impact to the early days of a company, we're excited to welcome you aboard."},{"id":"ffacc083-acca-4917-807c-d20932d111ca","title":"Senior Software Engineer, Full Stack","department":"Software Engineering","team":"Software Engineering","employmentType":"FullTime","location":"San Mateo","secondaryLocations":[],"publishedAt":"2026-06-22T23:02:09.544+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressLocality":"San Mateo"}},"jobUrl":"https://jobs.ashbyhq.com/parasail/ffacc083-acca-4917-807c-d20932d111ca","applyUrl":"https://jobs.ashbyhq.com/parasail/ffacc083-acca-4917-807c-d20932d111ca/application","descriptionHtml":"Parasail is redefining AI infrastructure by enabling seamless deployment across a distributed network of GPUs, optimizing for cost, performance, and flexibility. Our mission is to empower AI developers with a fast, cost-efficient, and scalable cloud experience—free from vendor lock-in and designed for the next generation of AI workloads.
We’re looking for a Senior Fullstack Engineer who wants to own large surface areas of product from database to pixel. You’ll build the interfaces, APIs, and systems that thousands of AI engineers interact with daily — from our real-time inference dashboard and model deployment console to the orchestration APIs that route workloads across a global GPU network.
This isn’t a role where you’ll be handed pixel-perfect mocks and asked to implement them. You’ll shape what we build and how it works, collaborating directly with founders and infrastructure engineers to turn complex distributed systems into products that feel simple and fast.
Inference Platform UI: Design and build the dashboards, model deployment workflows, and real-time monitoring views that our customers use to deploy and manage AI workloads at scale.
APIs & Backend Services: Architect and implement the backend services that power our platform — model serving endpoints, usage metering, billing integrations, authentication, and developer-facing APIs.
Orchestration Interfaces: Build the frontend and API layers on top of our GPU orchestration engine, giving users intuitive control over routing, caching, scaling, and cost optimization across our global network.
Developer Experience: Own the end-to-end developer experience including API documentation, SDK design, CLI tools, and onboarding flows that make Parasail the easiest inference platform to adopt.
Real-Time Systems: Implement streaming interfaces (SSE/WebSockets) for real-time inference responses, live cost tracking, and deployment status updates.
Data & Analytics: Build internal and customer-facing analytics — usage dashboards, cost breakdowns, latency distributions, and performance benchmarking tools.
Frontend Engineering: Strong experience with modern frontend frameworks (React, Next.js, or similar). You write clean, performant TypeScript and care about UI/UX details — loading states, error handling, responsive design, and accessibility.
Backend Development: Deep experience building production backend services in Go, Python, Java, or Node.js. You’re comfortable designing RESTful and gRPC APIs, working with relational and NoSQL databases, and implementing auth, rate limiting, and caching layers.
Distributed Systems Fundamentals: Solid understanding of distributed computing principles — consistency models, fault tolerance, and scalability patterns. You don’t need to be a distributed systems PhD, but you should be comfortable reasoning about systems that span multiple services and regions.
Cloud-Native & Infrastructure: Experience with cloud platforms (AWS, GCP, or Azure), containerization (Docker, Kubernetes), and CI/CD pipelines. Bonus if you’ve worked with Infrastructure as Code (Terraform, Pulumi).
Data & Observability: Experience building data pipelines, analytics dashboards, and integrating observability tools (metrics, logging, tracing). You know how to instrument systems so problems surface before customers notice.
AI/ML Familiarity (Nice to Have): Understanding of LLM technologies, inference optimization (batching, caching, quantization), or model serving platforms like vLLM, TGI, or Triton. If you don’t have this yet, you’re excited to learn.
5+ years of professional software engineering experience with significant fullstack ownership (you’ve shipped features end-to-end, from UI to database).
Track record of building and scaling web applications or developer platforms used by technical audiences.
Experience working in fast-paced environments where you’ve had to make pragmatic trade-offs between speed and quality.
Strong product instincts — you think about the user experience, not just the code.
Excellent communication skills. You can explain technical decisions to non-technical stakeholders and write clear documentation.
While deep AI experience is not required, a demonstrated ability to learn new technologies quickly and stay current with the rapidly evolving AI landscape is essential.
Massive impact at an early stage. We’re a small team building infrastructure that powers thousands of AI applications. Your work will be felt by every customer, every day.
Work at the frontier. AI inference is one of the fastest-growing and most technically interesting areas in tech. You’ll work alongside engineers who’ve built AI companies from scratch and shipped products used by industry leaders.
Full ownership, minimal bureaucracy. No PRDs written by someone three levels away. You’ll work directly with founders and ship to production on your own terms.
Competitive compensation. Competitive salary, meaningful equity in a high-growth company, and benefits designed for a distributed team.
The AI inference market is projected to dwarf the training market within a few years. Parasail is building the infrastructure layer that makes this possible. If you want to build products that shape how the world runs AI, we’d love to hear from you.