Staff Product Engineer, AI - UK
EngineeringProduct Engineer
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Quick Summary
Key Responsibilities
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.
Requirements Summary
you know what makes a great product great, what to build
Technical Tools
EngineeringProduct Engineer
Engineers today are building some of the most ambitious machines humanity has ever seen. They should have AI that’s purpose-built for them.
Nominal is building the Hardware Intelligence Platform that gives engineers increased visibility into complex physical systems, helps them make better decisions, and ultimately gets their products into the real world faster. It brings together the systems, data, intelligence, and applications hardware engineering requires to meet the AI moment. Hardware engineering teams use Nominal to simulate, test, manufacture, and operate the physical systems that keep the world moving, from spacecraft and autonomous vehicles to next-generation energy systems and robotics.
Our customers span aerospace, defense, manufacturing, transportation, energy, and robotics. They include Anduril, Shield AI, Wisk Aero, Pratt Miller Motorsports, Antares, and Shinkei Systems, amongst others, alongside programs within the U.S. Air Force and Navy. Our team draws from SpaceX, Palantir, Anduril, Applied Intuition, Tesla, and other leading companies, united by a common mission: giving hardware engineers the tools to build the future with speed, safety, and confidence. We're a fast-moving team that owns problems end-to-end, works across disciplines, and thrives at the intersection of hardware and software.
Some of the world’s leading technology investors, including Sequoia, Lightspeed, Founders Fund, General Catalyst, Lux Capital, and Insight Partners, are backing Nominal’s ambition to change how machines are built and operated. We’re looking for engineers who want to take on hard problems and help make a new generation of world-changing hardware possible.
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.
What We Offer
~1 min read✓🏖️ Unlimited PTO and sick leave
✓🍽️ Free lunch, snacks, and coffee
✓🚀 Professional Development Stipend
✓✈️ Annual company retreat
✓🛠️ Hardware sensor stipend
✓📈 Employee-friendly equity terms
✓🏢 In-office 5 days per week
Location & Eligibility
Where is the job
London, United Kingdom
On-site at the office
Who can apply
GB
About this job
- Pay per year
- £180,000–£220,000 a year
- Who can apply
- United Kingdom
- Posted
- Today
Listing Details
- Posted
- November 9, 2026
- First seen
- November 9, 2026
- Last seen
- November 9, 2026
Posting Health
- Days active
- -1
- Repost count
- 0
- Trust Level
- 68%
- Scored at
- November 9, 2026
Signal breakdown
freshnesssource trustcontent trustemployer trust
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