1mo ago

Staff Product Engineer, AI

United States·San Francisco,London,Seattle+3 morefull-timelead

EngineeringProduct Engineer

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Quick Summary

Key Responsibilities

Prototype new agent products and interactions in days, putting working ideas in front of engineers before anything is spec'd. Take the best ideas from zero to one: shape the product,

Requirements Summary

8+ years building products end to end, with a strong front-end and full-stack core. A track record of taking products from zero to one, including AI or agent experiences users chose to use daily.

Technical Tools

EngineeringProduct Engineer

Our mission is to accelerate how the world engineers new hardware. Nominal's connected test and operations platform powers the world's most advanced hardware programs and its most ambitious startups, from spacecraft, racecars, and autonomous vehicles to next-generation defense and energy programs. Our customers include Anduril, Shield AI, Hermeus, Albedo, Shinkei, and Pratt Miller Motorsports, as well as U.S. Navy and U.S. Air Force programs. Now we're expanding across the entire hardware lifecycle, building the foundation, AI-native applications, and agents that accelerate innovators' work and change what's possible to build.

We're backed by Sequoia, General Catalyst, Founders Fund, Lux Capital, and Lightspeed, and our team comes from SpaceX, Apple, Palantir, Anduril, Applied Intuition, and other leading companies.

We're the team behind Nominal's agents, AI-native applications, and MCP, and its forward-leaning AI bets. Our mission is to unlock the bottlenecks of the hardware lifecycle with AI. Our agents reason over physical reality, from high-rate telemetry and test campaigns to designs and simulations, where real test results are the ground truth their work is checked against. We believe opinionated AI, built for the real work of hardware programs, will change how the world engineers.

We're collaborative, iterative, and high-agency, and we're human-centered and customer-focused. We build with the newest AI tools every day, and because those tools keep changing, so do we: we stay curious and keep looking for the better way. Our team spans data science and ML, distributed systems, search, and knowledge systems, and we obsess over how agents can be genuinely useful to the engineers who rely on them.

As a Staff Product Engineer, you'll take agent products from zero to one, turning new ideas into prototypes and prototypes into products engineers love, and lead the team that builds them, from the agents engineers use every day to the AI-native apps that come next.

Responsibilities

~1 min read

→Prototype new agent products and interactions in days, putting working ideas in front of engineers before anything is spec'd.
→Take the best ideas from zero to one: shape the product, build it end to end, and ship it.
→Obsess over the user experience: watch engineers work, find where agents help and where they get in the way, and fix it.
→Set the patterns for agent UX across Nominal: streaming work as it happens, showing every step, citing sources, and letting engineers edit and take over.
→Turn hardware workflows (reviews, qualification, reporting) into agent-native products, not chat bolted onto old screens.
→Lead technically across product engineers, and partner closely with design, product, and the agent platform team.

8+ years building products end to end, with a strong front-end and full-stack core.
A track record of taking products from zero to one, including AI or agent experiences users chose to use daily.
Product sense and taste: you know what makes a great product great, what to build, what to leave out, and why.
Deep empathy for users, and the habit of learning from them directly.
A track record of setting product engineering direction across a team and raising the bar for the engineers around you.
You build with modern AI coding agents (Claude Code, Cursor, Codex) every day, and stay curious and open to better ways of working. The tools keep changing, and so do we.

Nice to Have

~1 min read

You've designed agent interaction patterns others adopted: streaming work, reviewable steps, human takeover.
You've built tools for technical users who live in data: notebooks, IDEs, observability, or CAD.
You've led product engineering at a company known for its craft.
You've founded a company or been an early engineer at a product-led startup.