TypeSafe AI is an AI lab building machine-native intelligence infrastructure for automation, designed to make decisions within software by combining the intelligence of LLMs with the efficiency and reliability of code into a new shape of AI: System One Models. Based in San Francisco, TypeSafe AI recently launched its first public model, Jev.
While others chase benchmarks and academic puzzles, we’ve been quietly rethinking the LLM stack from first principles — building a new kind of general frontier model designed for real-world reliability, decision-making, and autonomy in production.
We’re a small, fast-moving team from OpenAI, Google Brain, and Meta/FAIR, backed by top-tier investors. Since mid-2024, we’ve been engineering the foundation for what comes after the current “state-of-the-art” — a model that actually gets things done.
We're looking for scrappy engineers who ship data-tooling interfaces fast. You will progress model intelligence through the interfaces, datasets, and evaluation tooling you build, combining product sense, data science, and engineering. You'll be part of the real \"secret sauce\" of TypeSafe: figuring out how our models can provide production-ready reliability in the real world.
Our tech stack is primarily Python. We also use TypeScript, Next.js, and Tailwind CSS for frontend, with Kubernetes for orchestration. We empower developers to use any tooling they find helpful for getting their job done, including Claude Code and Cursor.
Check out our team video: https://vimeo.com/1231083924/22b52f6b1d
Create high-leverage datasets, products, and user interfaces that unlock new capabilities and use cases on top of our model
Build internal data-tooling and evaluation interfaces — fast — that make model development clearer (evaluation, debugging, data inspection)
Develop and own evaluation frameworks to measure quality, reliability, and emergent characteristics across model iterations
Run rigorous analyses and experiments to understand how data, training choices, and targeted interventions impact model behavior
Turn raw model outputs and data into clear, inspectable UIs — owning a domain end-to-end, with craft and judgment over simple optimization
Partner closely with product managers and customers to translate real-world needs into concrete model and system improvements
Continuously iterate, learn, and co-discover new techniques for building exceptional, trustworthy AI products
Are generalists (~2–7 yrs) with solid fundamentals, strong coding ability, and product intuition
Maintain high attention to detail and a strong bar for quality
Enjoy thinking beyond the code to how systems are used in the real world
Are scrappy and hacky, and thrive in ambiguous problem spaces — taking satisfaction in finding creative solutions
Don't trust LLMs blindly — they look at the reality of model generations
Have hands-on experience implementing LLMs and understand their capabilities and limitations
We’re a small, flat, close-knit team working to make intelligence dependable enough to become part of everyday software. We work fully in person from our San Francisco office near Embarcadero station. We love what we do and care deeply about the work.
We strive for excellence and craftsmanship and won’t stop until we get there. When the team wins, we all win, and we enjoy collaborating and inspiring each other to grow—as a team and as individuals.
We value emotional honesty, kindness, and bringing your whole self to work. We build machines; we don’t try to be machines.
We want TypeSafe to be the place where you do the most impactful work of your career and help define our future as a company.
Base salary of $150k–250k plus equity, based on leveling
100% covered health insurance
Daily lunch and dinner
Visa sponsorships
401K plans
TypeSafe AI is an AI lab building machine-native intelligence infrastructure for automation, designed to make decisions within software by combining the intelligence of LLMs with the efficiency and reliability of code into a new shape of AI: System One Models. Based in San Francisco, TypeSafe AI recently launched its first public model, Jev.
While others chase benchmarks and academic puzzles, we’ve been quietly rethinking the LLM stack from first principles — building a new kind of general frontier model designed for real-world reliability, decision-making, and autonomy in production.
We’re a small, fast-moving team from OpenAI, Google Brain, and Meta/FAIR, backed by top-tier investors. Since mid-2024, we’ve been engineering the foundation for what comes after the current “state-of-the-art” — a model that actually gets things done.
As a senior backend engineer, you will join the team responsible for building and maintaining TypeSafe's API platform for inference. These APIs will be user facing, latency sensitive, and (once we ship) have uptime, reliability and backwards compatibility requirements. You'll be wearing many different hats and working across different levels in our inference system, with particular depth in distributed systems and networking. Responsibilities include:
Define APIs for a new kind of AI inference experience and iterate on the design to ensure they are delightful to use
Create robust infrastructure for serving inference across multiple cloud providers
Define abstractions that will serve us moving forward as our billing needs and business logic needs grow
Work on exposing new model features to users
Our tech stack is primarily Python. We also use TypeScript, Next.js, and Tailwind CSS for frontend, with Kubernetes for orchestration. We empower developers to use any tooling they find helpful for getting their job done, including Claude Code and Codex.
Are responsible, ownership-inclined, and a team player – you believe there is no such thing as \"other people's code\", and will complain only the normal amount about pager duty
Have experience designing storage abstractions for scaled backend systems
Have experience designing resilient systems and improving on-call experience on production systems
Collaborate well with others on technical and product design, advocating for what you need, and adjusting specs to changing requirements and feedback
Are mission aligned and excited to go all-in
Love being part of a team
Have previously built big things
Have 5+ years of professional software engineering experience (3+ years of infra/backend) with a team with rigorous engineering standards
Have shipped backend services at scale with continuous delivery and uptime SLAs of at least 3 9s
Have designed and operated a developer-facing API service
Have experienced LLMs' capabilities and limitations from implementing them in the past
We’re a small, flat, close-knit team working to make intelligence dependable enough to become part of everyday software. We work fully in person from our San Francisco office near Embarcadero station. We love what we do and care deeply about the work.
We strive for excellence and craftsmanship and won’t stop until we get there. When the team wins, we all win, and we enjoy collaborating and inspiring each other to grow—as a team and as individuals.
We value emotional honesty, kindness, and bringing your whole self to work. We build machines; we don’t try to be machines.
We want TypeSafe to be the place where you do the most impactful work of your career and help define our future as a company.
Base salary of $150k–250k plus equity, based on leveling
100% covered health insurance
Daily lunch and dinner
Visa sponsorships
401K plans
TypeSafe AI is an AI lab building machine-native intelligence infrastructure for automation, designed to make decisions within software by combining the intelligence of LLMs with the efficiency and reliability of code into a new shape of AI: System One Models. Based in San Francisco, TypeSafe AI recently launched its first public model, Jev.
While others chase benchmarks and academic puzzles, we’ve been quietly rethinking the LLM stack from first principles — building a new kind of general frontier model designed for real-world reliability, decision-making, and autonomy in production.
We’re a small, fast-moving team from OpenAI, Google Brain, and Meta/FAIR, backed by top-tier investors. Since mid-2024, we’ve been engineering the foundation for what comes after the current “state-of-the-art” — a model that actually gets things done.
Help define TypeSafe's voice with the developer community and grow our visibility, trust, and adoption
Represent TypeSafe and the future of System One AI through talks, demos, community participation, and partnerships
Own the developer experience across docs, tutorials, and SDK/API references
Engage with the developer community via our Discord, in-person events, conferences, and whatever else the future holds
Build deep understanding of our developer community; synthesize their needs and concerns to be the voice of our developers inside the company
Design and run developer programs (e.g., early access, betas, red-teaming, bug bounties)
Collaborate with product, marketing, engineering, operations, and leadership
Create demos, tutorials, cookbooks, docs, and collateral that help developers understand and learn to use TypeSafe
Plan and execute developer marketing moments: webinars, meetups, hackathons, conference talks, and workshops
Have fluent understanding of LLMs, AI market, and developer needs in LLM performance, as well as major developer ecosystems and APIs
Have deep developer empathy; are excellent at listening and synthesizing from feedback, and have experience running usability tests
Care deeply about our mission and are driven to translate it into real-world impact
Are skillful communicators, both in speech and written forms
Have >3 yrs experience as a SWE or developer advocate
Existing reputation and standing among developers a huge plus
We're a small, flat, close-knit team dedicated to real-world impact preparing the world for Transformative AI. Our team works fully in-person in our San Francisco office near Embarcadero station. We love what we do and care about our work a lot.
We strive for excellence and craftsmanship and won't stop until we get there. When the team wins, we all win, and we enjoy collaborating and inspiring each other to grow as a team and as individuals.
We also value emotional honesty, kindness, and bringing your whole self to work. We build machines; we don't try to be machines.
We want you to be able to do the most impactful work of your career at TypeSafe and help define our future as a company.
Base salary of $150k–250k plus equity, based on leveling
100% covered health insurance
Daily lunch and dinner
Visa sponsorships
401K plans
TypeSafe AI is an AI lab building machine-native intelligence infrastructure for automation, designed to make decisions within software by combining the intelligence of LLMs with the efficiency and reliability of code into a new shape of AI: System One Models. Based in San Francisco, TypeSafe AI recently launched its first public model, Jev.
While others chase benchmarks and academic puzzles, we’ve been quietly rethinking the LLM stack from first principles — building a new kind of general frontier model designed for real-world reliability, decision-making, and autonomy in production.
We’re a small, fast-moving team from OpenAI, Google Brain, and Meta/FAIR, backed by top-tier investors. Since mid-2024, we’ve been engineering the foundation for what comes after the current “state-of-the-art” — a model that actually gets things done.
What role?! Maybe we haven't scoped it yet, but you've learned enough about the mission to believe we need you here. If you're an entrepreneurial builder of any kind — sales hustler, marketing demon, designer-of-worlds, something we can't even brainstorm in this list —don't let our lack of imagination stop you from introducing yourself.
Across any discipline, we are looking for people who
Are spiky in at least one domain and skillset, well-rounded in essential others, and have the self-awareness to know the difference
Show complete ownership — can think about goals on a strategic level and define what needs to happen toward that goal, rather than at the level of tasks or tickets
Solve problems from both first-principles reasoning and a reservoir of lived experience
Understand and follow the AI industry and understand both the joys and the limitations of current-generation LLM models
Care deeply about our mission and are driven to translate it into real-world impact
Have 5+ years of professional expertise (to be clear: many of us are 10+ YOE) in high-performing teams, including under shifting and ambiguous environments
We’re a small, flat, close-knit team dedicated to real-world impact preparing the world for Transformative AI. Our team works fully in-person in our San Francisco office near Embarcadero station. We love what we do and care about our work a lot.
We strive for excellence and craftsmanship and won't stop until we get there. When the team wins, we all win, and we enjoy collaborating and inspiring each other to grow as a team and as individuals.
We also value emotional honesty, kindness, and bringing your whole self to work. We build machines; we don't try to be machines.
We want you to be able to do the most impactful work of your career at TypeSafe and help define our future as a company.
Base salary of $150k–250k plus equity, based on leveling
100% covered health insurance
Daily lunch and dinner
Visa sponsorships
401K plans
TypeSafe AI is an AI lab building machine-native intelligence infrastructure for automation, designed to make decisions within software by combining the intelligence of LLMs with the efficiency and reliability of code into a new shape of AI: System One Models. Based in San Francisco, TypeSafe AI recently launched its first public model, Jev.
While others chase benchmarks and academic puzzles, we’ve been quietly rethinking the LLM stack from first principles — building a new kind of general frontier model designed for real-world reliability, decision-making, and autonomy in production.
We’re a small, fast-moving team from OpenAI, Google Brain, and Meta/FAIR, backed by top-tier investors. Since mid-2024, we’ve been engineering the foundation for what comes after the current “state-of-the-art” — a model that actually gets things done.
We're looking for an Infrastructure Engineer to build and operate the infrastructure behind TypeSafe AI's products at global scale. You'll own the systems that serve millions of users across regions — from provisioning Kubernetes clusters across multiple clouds to optimizing networking for low-latency AI inference.
This is a high-impact role on a small, fast-moving team. You'll work across the full infrastructure stack: cloud primitives, container orchestration, networking, observability, and the specialized infra that makes large-scale model inference efficient.
Design, deploy, and operate Kubernetes clusters across multiple regions and clouds
Build and maintain infrastructure for the platform that powers LLM inference workloads globally
Own networking, including VPCs, peering, load balancing, DNS, service mesh, CNI
Manage GPU infrastructure and autoscaling for ML workloads
Write and maintain infrastructure as code (Pulumi / Python)
Operate and improve observability: monitoring, alerting, tracing, logging
Deep experience with Kubernetes in production at scale: networking, storage, scheduling, upgrades
Strong background in AWS
Hands-on experience with infrastructure as code (Pulumi, Terraform, or similar)
Solid understanding of Linux networking
Track record with high-traffic production ML systems
Programming fluency, Python preferred
Experience with large-scale LLM / ML inference infrastructure (GPU scheduling, model serving, vLLM, KubeRay, Kubernetes-native tooling)
Kubernetes networking depth with Cilium or other CNI plugins; service mesh (Istio, Envoy)
Multi-cloud infrastructure
Background in site reliability engineering including SLOs, incident response, capacity planning
We’re a small, flat, close-knit team working to make intelligence dependable enough to become part of everyday software. We work fully in person from our San Francisco office near Embarcadero station. We love what we do and care deeply about the work.
We strive for excellence and craftsmanship and won’t stop until we get there. When the team wins, we all win, and we enjoy collaborating and inspiring each other to grow—as a team and as individuals.
We value emotional honesty, kindness, and bringing your whole self to work. We build machines; we don’t try to be machines.
We want TypeSafe to be the place where you do the most impactful work of your career and help define our future as a company.
Base salary of $150k–250k plus equity, based on leveling
100% covered health insurance
Daily lunch and dinner
Visa sponsorships
401K plans
TypeSafe is a frontier model lab. We build reliable and general AI systems to power economically valuable automation. Our mission is to usher in a new era of Transformative Artificial Intelligence (TAI): technology with the power to drive a societal shift on the scale of the agricultural and industrial revolutions.
While others chase benchmarks and academic puzzles, we've been quietly rethinking the LLM stack from first principles — building a new kind of general frontier model designed for real-world reliability, decision-making, and autonomy in production.
We're a small, fast-moving team from OpenAI, Google Brain, and Meta/FAIR, backed by top-tier investors. Since mid-2024, we've been engineering the foundation for what comes after the current \"state-of-the-art\" — a model that actually gets things done.
We are looking for our first internal recruiter hire to shape our hiring process and systems, build a world-class talent brand, and hire amazing team members.
Own the end-to-end recruiting function: sourcing, recruiting, coordinating, closing
Shape hiring process to craft both a fantastic candidate experience at every touchpoint, from first outreach through offer
Run the day to day operations such as interview coordination and quick feedback loops
Understand our unique culture and diverse talent needs to hire a world-class team
Develop and execute sourcing strategies to build pipelines of highly qualified candidates
Build out teams from scratch across multiple functions
Define and track recruiting metrics and use data to drive continuous improvement
Take a high level strategic view of talent management and planning with the executive team
Have 5+ years of experience in full cycle recruiting with proven success, particularly in scaling strong technical teams
Have experience scaling teams in high-growth, fast-paced environments
Are comfortable navigating ambiguity, making judgment calls with imperfect information, and operating with a high degree of autonomy
Are kind, emotionally aware, and genuinely care for people's wellbeing
Have a bias for action to move quickly and creatively to engage top tier talent
Have exceptional organizational skills with the ability to juggle multiple searches and priorities simultaneously
Are excited about our mission and about playing an instrumental role in furthering that mission
Nice to have: Excited to build, test, and dogfood recruiting tooling and systems
We're a small, flat, close-knit team dedicated to real-world impact preparing the world for Transformative AI. Our team works fully in-person in our San Francisco office near Embarcadero station. We love what we do and care about our work a lot.
We strive for excellence and craftsmanship and won't stop until we get there. When the team wins, we all win, and we enjoy collaborating and inspiring each other to grow as a team and as individuals.
We also value emotional honesty, kindness, and bringing your whole self to work. We build machines; we don't try to be machines.
We want you to be able to do the most impactful work of your career at TypeSafe and help define our future as a company.
Base salary of $150k–250k plus equity, based on leveling
100% covered health insurance
Daily lunch and dinner
Visa sponsorships
401K plans
TypeSafe AI is an AI lab building machine-native intelligence infrastructure for automation, designed to make decisions within software by combining the intelligence of LLMs with the efficiency and reliability of code into a new shape of AI: System One Models. Based in San Francisco, TypeSafe AI recently launched its first public model, Jev.
While others chase benchmarks and academic puzzles, we’ve been quietly rethinking the LLM stack from first principles — building a new kind of general frontier model designed for real-world reliability, decision-making, and autonomy in production.
We’re a small, fast-moving team from OpenAI, Google Brain, and Meta/FAIR, backed by top-tier investors. Since mid-2024, we’ve been engineering the foundation for what comes after the current “state-of-the-art” — a model that actually gets things done.
You'll own how TypeSafe shows up in the world, from the story we tell to how developers and enterprises discover, adopt, and champion what we build. There's no team to inherit and no playbook to run. You'll work at all altitudes — setting the high-level strategy and then doing the tactical work yourself, from positioning down to the copy.
Narrative and content: shape the company blog, thought pieces, and our unique perspective on AI, and position our founders and researchers as leading voices
Product marketing: define our category and translate deeply technical capabilities into messaging that developers resonate with
Brand and channels: own our company brand, website, and social cadence across X and LinkedIn
Launches and announcements: coordinate product releases and announcements from press to podcasts to events
Demand generation: build developer and enterprise interest to build our pipeline
Have built a marketing function from zero at a start-up and can both set strategy and execute it
Are tactically broad — can own narrative, launches, demand, and growth experiments across channels from social to SEO to email
Have 5+ years of professional expertise in high-performing teams, including under shifting and ambiguous environments
Write exceptionally well — clear, technical, and fast
Have taste: know what's credible, what's hype, and what's premature
Are fluent in the AI industry, leverage tools yourself, and can credibly talk models and APIs with our engineers and researchers
Show complete ownership — think at the level of goals, not tasks or tickets
Solve problems from both first-principles reasoning and a reservoir of lived experience
Care deeply about our mission and are driven to translate it into real-world impact
We’re a small, flat, close-knit team working to make intelligence dependable enough to become part of everyday software. We work fully in person from our San Francisco office near Embarcadero station. We love what we do and care deeply about the work.
We strive for excellence and craftsmanship and won’t stop until we get there. When the team wins, we all win, and we enjoy collaborating and inspiring each other to grow—as a team and as individuals.
We value emotional honesty, kindness, and bringing your whole self to work. We build machines; we don’t try to be machines.
We want TypeSafe to be the place where you do the most impactful work of your career and help define our future as a company.
Base salary of $150k–250k plus equity, based on leveling
100% covered health insurance
Daily lunch and dinner
Visa sponsorships
401K plans
TypeSafe AI is an AI lab building machine-native intelligence infrastructure for automation, designed to make decisions within software by combining the intelligence of LLMs with the efficiency and reliability of code into a new shape of AI: System One Models. Based in San Francisco, TypeSafe AI recently launched its first public model, Jev.
While others chase benchmarks and academic puzzles, we’ve been quietly rethinking the LLM stack from first principles — building a new kind of general frontier model designed for real-world reliability, decision-making, and autonomy in production.
We’re a small, fast-moving team from OpenAI, Google Brain, and Meta/FAIR, backed by top-tier investors. Since mid-2024, we’ve been engineering the foundation for what comes after the current “state-of-the-art” — a model that actually gets things done.
You'll build and run the community around TypeSafe, helping developers discover Jev, get started, and stay involved as they build. You'll own both the member experience and the systems behind it, from welcoming new builders and running hackathons to creating workflows that keep a growing community organized and responsive.
There's no playbook to run. You'll work closely with our founders, engineers, and Developer Relations to turn early interest into an active community where people build, share what they learn, and help shape what comes next.
Community experience: run our community channels, welcome new members, spark useful conversations, and establish clear guidelines that keep the community helpful and engaged
Programs and relationships: build programs for our most engaged developers, support community-led initiatives, and develop relationships with organizers and partners
Events and logistics: own hackathons, meetups, and community events from planning and promotion through registration, vendors, swag, and follow-up
Systems and workflows: build the tools, documentation, and automations behind onboarding, member support, event operations, and community communications
Feedback and follow-through: surface recurring questions, product feedback, and promising use cases to our technical team, and close the loop with members
Measurement and improvement: track participation, retention, response times, and what members are building; use what you learn to improve programs and focus our effort
Have built or scaled community programs, developer communities, or operations at a fast-moving startup
Can design a program and handle the details yourself, from recruiting participants to answering questions and making sure an event runs smoothly
Bring strong operational judgment and attention to detail, with the ability to manage multiple moving pieces and follow through
Write clearly and communicate with warmth, responsiveness, and good judgment, especially when handling feedback or difficult conversations
Are comfortable with community and operations tools automation, and know when to simplify rather than add process
Are curious about AI and technically fluent enough to understand what developers are building, recognize where they're stuck, and connect them with the right help
Care about developers and people and understands their desires
Reason through process strategically before making a decision
Show complete ownership, spot gaps without waiting for instructions, and care deeply about our mission
We’re a small, flat, close-knit team working to make intelligence dependable enough to become part of everyday software. We work fully in person from our San Francisco office near Embarcadero station. We love what we do and care deeply about the work.
We strive for excellence and craftsmanship and won’t stop until we get there. When the team wins, we all win, and we enjoy collaborating and inspiring each other to grow—as a team and as individuals.
We value emotional honesty, kindness, and bringing your whole self to work. We build machines; we don’t try to be machines.
We want TypeSafe to be the place where you do the most impactful work of your career and help define our future as a company.
Base salary of $150k–250k plus equity, based on leveling
100% covered health insurance
Daily lunch and dinner
Visa sponsorships
401K plans
We're looking for a safety researcher to join TypeSafe, get increasingly quiet in meetings, and quit about six weeks later because they're disturbed by what they've seen.
Build evals and investigate model behavior that concerns you.
Ask “should we?” in meetings scheduled to discuss “how soon?”
Keep a document that starts as “Initial observations” and ends as “For the record.”
Write a departure post that makes people concerned enough to share it, despite containing almost no information.
A strong research background in AI safety, alignment, interpretability, or model evaluation.
Experience raising concerns calmly, then in writing.
The ability to say “I can't discuss specifics” and somehow make things worse.
A sincere belief that you can change things from the inside. We'll need that for the first two weeks.
Weeks 1–2: Get set up, meet the team, and tell your friends the work is fascinating.
Weeks 3–4: Request additional access. Receive it. Stop telling friends about work.
Weeks 5–6: Write a long internal memo. Take a walk. Decide you won't be coming back on Monday.
You'll be working with people you'll later describe as “some of the most talented people I've ever worked with.”
To apply, submit a draft of your eventual resignation post. You may omit specifics.
","descriptionPlain":"We're looking for a safety researcher to join TypeSafe, get increasingly quiet in meetings, and quit about six weeks later because they're disturbed by what they've seen.\n\n\nWHAT YOU'LL DO\n\n - Build evals and investigate model behavior that concerns you.\n\n - Ask “should we?” in meetings scheduled to discuss “how soon?”\n\n - Keep a document that starts as “Initial observations” and ends as “For the record.”\n\n - Write a departure post that makes people concerned enough to share it, despite containing almost no information.\n\n\nWHAT YOU BRING\n\n - A strong research background in AI safety, alignment, interpretability, or model evaluation.\n\n - Experience raising concerns calmly, then in writing.\n\n - The ability to say “I can't discuss specifics” and somehow make things worse.\n\n - A sincere belief that you can change things from the inside. We'll need that for the first two weeks.\n\n\nYOUR FIRST (AND ONLY) SIX WEEKS\n\n - Weeks 1–2: Get set up, meet the team, and tell your friends the work is fascinating.\n\n - Weeks 3–4: Request additional access. Receive it. Stop telling friends about work.\n\n - Weeks 5–6: Write a long internal memo. Take a walk. Decide you won't be coming back on Monday.\n\nYou'll be working with people you'll later describe as “some of the most talented people I've ever worked with.”\n\nTo apply, submit a draft of your eventual resignation post. You may omit specifics."},{"id":"76e200ea-a92a-4533-9f45-ac6c13b0ee59","title":"Product Manager","department":"Product","team":"Product","employmentType":"FullTime","location":"San Francisco Office","secondaryLocations":[],"publishedAt":"2026-10-10T03:22:25.198+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco "}},"jobUrl":"https://jobs.ashbyhq.com/typesafe-ai/76e200ea-a92a-4533-9f45-ac6c13b0ee59","applyUrl":"https://jobs.ashbyhq.com/typesafe-ai/76e200ea-a92a-4533-9f45-ac6c13b0ee59/application","descriptionHtml":"TypeSafe AI is an AI lab building machine-native intelligence infrastructure for automation, designed to make decisions within software by combining the intelligence of LLMs with the efficiency and reliability of code into a new shape of AI: System One Models. Based in San Francisco, TypeSafe AI recently launched its first public model, Jev.
While others chase benchmarks and academic puzzles, we’ve been quietly rethinking the LLM stack from first principles — building a new kind of general frontier model designed for real-world reliability, decision-making, and autonomy in production.
We’re a small, fast-moving team from OpenAI, Google Brain, and Meta/FAIR, backed by top-tier investors. Since mid-2024, we’ve been engineering the foundation for what comes after the current “state-of-the-art” — a model that actually gets things done.
As a Product Manager at TypeSafe, you'll help shape the product direction and experience of Jev, working closely with our CEO and engineering teams to bring frontier AI capabilities to developers and users.
This is a rare opportunity to define an exciting new AI product from the ground up. You'll be responsible for translating rapidly evolving model capabilities into compelling product experiences, identifying what to build next, and driving execution from early ideas through launch and iteration.
We're looking for someone with exceptional product taste, strong technical intuition, and the ability to move quickly in a highly ambiguous environment. You'll need to think strategically about where Jev should be headed while being equally comfortable diving into product details, talking to developers, analyzing usage data, and shipping improvements.
As an early member of the team, you'll have significant ownership and influence over both our product and how we build.
Are responsible, ownership-inclined, and a team player – you believe there is no such thing as \"not my problem\", and will happily roll up your sleeves to get things done
Have experience building and shipping technical products from 0 to 1, ideally for developers
Have strong technical intuition and can go deep with engineers on architecture, tradeoffs, and product decisions
Have exceptional product taste and can turn user feedback into clear priorities and product requirements
Are comfortable moving fast, working hard, and making decisions with incomplete information
Are mission aligned and excited to go all-in
Love being part of a team
Have previously built products for developers
Have 5+ years of product management experience, ideally building highly technical products at a company with a high product and engineering bar
Have taken products from 0 to 1 and scaled them
Have experience building developer-facing products, APIs, or infrastructure tools, and understand what makes for a great developer experience
We’re a small, flat, close-knit team working to make intelligence dependable enough to become part of everyday software. We work fully in person from our San Francisco office near Embarcadero station. We love what we do and care deeply about the work.
We strive for excellence and craftsmanship and won’t stop until we get there. When the team wins, we all win, and we enjoy collaborating and inspiring each other to grow—as a team and as individuals.
We value emotional honesty, kindness, and bringing your whole self to work. We build machines; we don’t try to be machines.
We want TypeSafe to be the place where you do the most impactful work of your career and help define our future as a company.
Base salary of $150k–$250k plus equity, based on leveling
100% covered health insurance
Daily lunch and dinner
Visa sponsorships
401K plans