Nominal powers mission-critical engineering with advanced data infrastructure, real-time observability, and analysis tools — all in one collaborative platform. Backed by General Catalyst, Lightspeed and Sequoia.
About the role
As an AI Product Engineer, you'll bring new ideas to life: prototype fast, put them in front of real engineers, and turn the ones that work into polished products where engineers and agents work together. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Prototype new features and interactions quickly, often with AI coding agents, to test ideas with real users before committing
- Build where engineers and agents work together, end to end: the interface, the APIs behind it, and how agent work streams in and stays editable
- Make agent work trustworthy on screen: visible steps, citations, and clean handoffs back to the engineer
- Own product decisions in your area, from what to build to when it's ready
- Watch real users, sweat the details, and keep iterating on what you learn
More about this role
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....
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