Staff Product Engineer -- AI-Native Developer Tools

We’re looking for a Staff Product Engineer to help set the technical direction for entirely new products.

This is a high-impact, hands-on individual contributor role for an engineer who has already taken exceptional products from 01, can operate effectively in highly ambiguous environments, and is comfortable owning decisions from architecture through production.

You’ll be one of the company’s key technical authorities, working directly with technical leadership to turn product and business strategy into real products.

This is not a people-management role. You’ll remain deeply involved in designing and building software while influencing technical direction and raising engineering standards across the team.

What You’ll Do

• Own and drive the architectural direction of new products
• Design and build next-generation AI-native developer tooling
• Take new products from 01, from initial problem definition through production
• Translate product and business strategy into technical roadmaps and execution plans
• Make important systems, architecture, and product engineering decisions
• Own production outcomes, including reliability, performance, and operational excellence
• Mentor senior engineers and raise technical standards across the team
• Work effectively in ambiguous problem spaces where both the problem and solution still need to be defined
• Help advance how the engineering organization uses AI and coding agents to build software

• 7-20 years of experience as a full-stack/product engineer
• Demonstrated experience owning 01 product builds end-to-end
• Proven experience designing, building, and deploying exceptional products in a high-growth startup or scale-up environment
• Strong technical fundamentals across the full stack, particularly TypeScript and React
• Experience setting and shaping technical direction while remaining a hands-on individual contributor
• Experience taking technically complex products from an early stage through adoption and delivering an exceptional customer experience
• Applied AI experience and/or compelling experience using AI coding agents or agentic development workflows
• Strong architectural and systems-design capabilities
• Excellent communication and clarity of thought
• Ability to explain complex technical concepts to technical and non-technical stakeholders
• Strong judgment around technical and product trade-offs
• Comfort with significant ownership, ambiguity, and a fast-moving environment
• Ability to work in person 5 days/week in New York City

Especially Valuable

Experience at a developer tools or infrastructure startup building products for engineers is particularly valuable.

The strongest candidates will combine deep technical ability with product instincts: engineers who don’t just build technically impressive systems, but understand the user, make thoughtful product decisions, and take responsibility for the quality of the final experience., Hands-on coding exercise designed to simulate the actual work. You’ll be given a 01 product to build under a tight timeframe, with discussion and observation around your technical decisions, development approach, and use of coding-agent tooling.

The stated base salary range is 280K-380K, along with significant early-stage equity.

Compensation will depend on experience and fit, and there may be additional flexibility for an exceptional candidate.

We’re working with a fast-growing developer infrastructure company building the next generation of AI-native developer tooling.

The company initially built infrastructure that makes CI workloads significantly faster and more cost-effective. Its platform now serves thousands of companies and operates at substantial scale, including tens of millions of virtual machines each month, 100K+ concurrent vCPUs, and petabyte-scale storage infrastructure.

After reaching approximately $10M ARR in less than two years, the team is expanding beyond its core CI platform into new products, including infrastructure for running agent sandboxes at scale and background coding agents.

The company has raised $58.5M from Seed through Series B and is intentionally building a small, highly selective engineering organization.