Product Support Engineer

About Nominal Nominal is building the connected test and operations platform powering the world's most advanced hardware systems, from spacecraft and autonomous vehicles to next-generation defense programs. Our platform gives hardware engineering teams a single place to ingest data, analyze performance, automate test execution, and collaborate across every phase of development, so they can move faster without sacrificing safety or precision. We're a fast-moving team that owns problems end-to-end, works across disciplines, and thrives at the intersection of hardware and software. We serve top-tier commercial and defense customers, from autonomy leaders like Anduril and Shield AI to next-generation aerospace teams like Hermeus and REGENT, and performance engineering teams like Pratt Miller Motorsports, alongside mission partners within the U.S. Navy and U.S. Air Force on programs where failure isn’t an option. We’re backed by Sequoia, General Catalyst, Founders Fund, Lux Capital, and Lightspeed. Our team draws from SpaceX, Palantir, Anduril, Applied Intuition, 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 looking for a Product Support Engineer who sits at the intersection of software, product, and customer experience. You're closer to a product engineer than a ticket re [... source excerpt omitted ...] lems, partnering with the teams building Nominal, and turning what you learn into a better product. 🚀 About the role Own Technical Problems End-to-End: Take ownership of complex customer issues from initial investigation through resolution. You’ll dig into the problem, identify the root cause, and drive it to closure. Work Directly With Engineers: Partner closely with highly technical customers to understand how they use Nominal, troubleshoot issues, and help them get the most out of the product. Debug the Real Thing: Dive into logs, APIs, databases, code, and production systems to understand what’s happening. You won’t just be routing tickets, you’ll be solving problems. Pa [... source excerpt omitted ...] elp distinguish bugs from product gaps, influence priorities, and push issues toward lasting solutions. Turn Support Into Product Improvements: Identify recurring patterns across customers and use those insights to improve the product, documentation, tooling, and overall customer experience. Build the Knowledge Base: Create technical documentation, troubleshooting guides, and internal tools that make the team and our customers more self-sufficient. Use AI to Work Smarter: Leverage AI to accelerate debugging, investigate issues, automate repetitive workflows, and build tools that make technical support more scalable. Own High-Impact Moments: When something breaks or a customer