Senior AI Engineer, Product Engineering

com, we are building the AI Search Infrastructure that powers modern AI systems. Our goal is to create the trusted knowledge layer that agents, applications, and enterprises rely on to retrieve real-time, accurate, and citation-backed information. Our platform combines proprietary vertical indexes with LLM-optimized retrieval systems to power AI agents, applications, and enterprise workflows.

We are solving hard problems across search, large language models, and large-scale infrastructure to make AI systems more reliable, transparent, and useful. Our team includes engineers, researchers, product builders, and operators who care about solving meaningful problems and delivering real-world impact. Whether you are improving core infrastructure, shaping product experiences, or helping bring new AI capabilities to market, your work will help define how modern AI finds and uses knowledge.

The role This is a hybrid product engineering and GTM role for someone who wants outsized impact at the intersection of all three. You'll own the direction of our API surface — shaping products like real-time monitoring, vertical feeds, and the next generation of agent-native retrieval primitives — while simultaneously sitting across the table from our most important customers to win, deploy, and expand high-value accounts. You'll be the technical voice customers trust, and the customer voice the engineering team trusts.

The insights you bring back from the field will directly shape what we build next. This role demands high agency, deep customer obsession, and the rare ability to move fluidly between writing a technical product spec, debugging an integration on a customer call, and pitching a CTO on why our API should be core to their stack.

What You'Ll Do

Own API product direction. Define the roadmap for our core search APIs and adjacent surfaces — monitoring, vertical feeds, evaluation tooling, and new primitives we haven't built yet. Decide what ships, when, and why.

Lead solutions for strategic accounts. Partner directly with the founders and engineering leaders of our top customers and prospects. Architect their integration, unblock their teams, and turn pilots into long-term partnerships.

Close the loop. Translate what you hear in customer conversations into concrete product bets. Write the specs, prioritize the roadmap, and make sure the highest-leverage learnings actually become shipped features.

Be the technical face of the product. Run technical deep-dives, write the docs and reference implementations that matter most, and show up in the spaces where AI builders are deciding what to use. Set the technical bar.

Work closely with engineering on API design, performance, and developer experience. Push back when something isn't good enough; ship when it is. Stay in the code.

This is a hands-on role. You'll prototype new API primitives and ship production code into the core stack when the highest-leverage thing to do is just build it yourself. What you'll bring 5+ years of experience spanning engineering and product roles, with significant time spent on developer-facing or API products.

You can still write production code and want to — this role expects it. Deep familiarity with the AI agent and LLM ecosystem — you understand how agents are being built, where retrieval fits in, and where the current tooling falls short. A track record of owning ambiguous, high-stakes problems end-to-end.

You don't wait to be told what to do; you find the highest-leverage thing and go. Strong customer instincts. You enjoy customer calls, you're sharp at reading what's said and unsaid, and you can hold technical credibility with senior engineers and commercial credibility with executives.

Excellent written and verbal communication. You can write a spec, a sales follow-up, and a postmortem with equal clarity.