Staff Product Engineer, AI - UK

Posted Yesterday
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London, Greater London, England, GBR
In-Office
180K-220K Annually
Senior level
Software
Nominal builds software that lets hardware teams test, iterate, and deploy as fast as software teams.
The Role
Build and lead zero-to-one AI agent products for hardware engineers. Prototype agent interactions, shape products, develop and ship end-to-end applications, establish agent UX patterns, and transform hardware workflows into agent-native experiences. The role requires strong frontend and full-stack engineering, product judgment, user empathy, and technical leadership across product engineering teams.
Summary Generated by Built In
About Nominal
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.

About Hardware Intelligence
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.

The role
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.

💼 What you'll do
  • 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.

🚀 What you'll bring
  • 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
  • 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.

Benefits/Perks
  • 🏖️ 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

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.

Compensation
The base pay range for this role is £180,000 – £220,000 per year.

Skills Required

  • 8+ years building products end to end
  • Strong front-end and full-stack engineering experience
  • Track record of taking products from zero to one
  • Experience building AI or agent experiences adopted for daily use
  • Strong product sense and judgment
  • Deep empathy for users and direct user research experience
  • Experience setting product engineering direction across a team
  • Experience raising the engineering bar for teammates
  • Daily experience building with modern AI coding agents such as Claude Code, Cursor, or Codex
  • Experience designing agent interaction patterns such as streaming work, reviewable steps, or human takeover
  • Experience building tools for technical, data-oriented users
  • Experience leading product engineering at a company known for its craft
  • Founded a company or served as an early engineer at a product-led startup

Nominal Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Nominal and has not been reviewed or approved by Nominal.

  • Healthcare Strength — 100% employer-paid medical, dental, and vision coverage is repeatedly described as covering both employees and dependents, indicating unusually strong healthcare provisioning. Additional mentions of “Platinum” coverage reinforce the sense of a high-tier plan offering.
  • Leave & Time Off Breadth — Unlimited PTO and paid holidays/sick time are presented as part of the core package, suggesting broad time-off benefits on paper. Parental leave is also framed as fully paid in several places, reinforcing overall leave breadth.
  • Wellbeing & Lifestyle Benefits — Wellness stipends, daily gourmet lunch (and sometimes dinner), and periodic retreats are consistently highlighted as meaningful lifestyle perks. Learning/development and other small stipends further round out a perks-heavy total rewards posture.

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The Company
HQ: New York, NY
87 Employees
Year Founded: 2022

What We Do

Nominal builds the essential software stack that enables hardware teams to test and iterate as rapidly as software teams. Nominal empowers engineers to continuously monitor, validate, and deploy innovations, transforming how mission-critical hardware is built and operated.

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