Senior AI Engineer, Product Engineering

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.

• →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.

• 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.
• Comfort with the messy reality of an early-stage startup — shifting priorities, incomplete information, and the need to make calls without consensus.

• You've shipped a developer API or platform product that real engineers depend on.
• You've worked closely with sales or solutions teams in a previous role, or led that motion yourself.
• You've built or contributed to AI agents, retrieval systems, or search infrastructure.
• You have a public footprint — open-source, writing, talks — in the AI or developer-tools space.

• Leverage. The decisions you make will compound across every customer we serve and every agent built on our APIs.
• Surface area. You'll touch product, engineering, GTM, and strategy. If you want a path toward a senior product or technical leadership role, this is rocket fuel.
• Learning & Collaboration. You'll work with world-class talent on search, infrastructure and AI problems. This team has a history on defining every part of the stack, you’ll never get bored!
• Timing. Agent infrastructure is one of the defining categories of this decade, and the next 18 months will determine who wins it.
• Compensation. Competitive base, meaningful equity, and the upside of a startup team building something foundational.