San Francisco, CA (FiDi) · On-site · Full-time Compensation: $200,000–$350,000 + competitive equity

About the Company

Our client builds infrastructure for agent behavior monitoring. Where traditional observability logs exceptions and latency, this surfaces behavioral anomalies — instruction drift, context-retrieval loss — in production at scale. Hundreds of teams building autonomous agents rely on it to understand post-deployment behavior: clustering patterns across conversations and workflows, correlating regressions to specific interaction types, and pinpointing where reliability breaks down. It raised significantly across two rounds in the past five months.

Team size: ~19 · Industry: AI infrastructure / agent observability & evals

The Role

The client is hiring an Agent Product Engineer to build high-taste products for self-learning agents. The role is majority agent work on a full-stack baseline. Candidates can come from a front-end/design-engineering background or an AI-engineering background, but both must have prior experience building and designing agents, ideally at a startup with 0-1 product ownership.

Tech stack: TypeScript (full-stack).

Requirements

• 3–7 years of engineering
• An agent or applied-AI background
• Comfort with 0-1 product ownership
• A front-end/design engineer or AI engineer
• TypeScript fluency
• Evals experience heavily preferred

Nice to Haves

• Shipped agents in production at a startup — can walk through context design, tool design, and reasoning-loop tradeoffs
• Strong product-engineering range — has shipped customer-facing features end to end, not just backend or research artifacts
• A demonstrably strong communicator (customer calls, internal demos, technical writing, public talks)
• Prior evals, observability, or behavior-monitoring product experience
• Prior 0-1 product ownership at a seed or Series A startup
• A high-intensity background signal (olympiad medals, debate, competitive athletics, founder experience, or comparable)

Why Join

• Funded momentum: raised significantly across two rounds in five months from top-tier investors
• Build 0-to-1: ship agent capabilities from a blank page on a fast-scaling product surface
• A founding track: a small (~19-person) team, a fast track to founding-level experience and direct customer interaction
• Perks: full benefits, gym membership, private chef

Details

• Location — San Francisco, CA (FiDi)
• Work policy — On-site
• Compensation — $200,000–$350,000 + competitive equity
• Visa sponsorship — Available (H-1B)
• Employment type — Full-time