Product Engineer

What You'll Do

• Ship AI-powered features end-to-end — Frontend, backend, agents, and evals; you own the whole thing, not a slice
• Embed with operators — Sit with sales, service, and underwriting; find what's broken before they tell you
• Build systems that compound — Every decision gets traced; every outcome feeds back; the AI gets smarter with each interaction
• Stay on the frontier — New model drops? You're testing it that day. New capability lands? You're the one who ships it
• Move fast with AI tooling — Cursor, Claude Code, and whatever comes next; manage multiple coding sessions to compress weeks into days
• Own the metric, not the feature — "We increased conversion by 15%," not "we shipped the thing"
• Prove impact — Set up metrics, track results, present what worked to the company

Requirements

• Software engineering experience shipping production systems (level determined during interviews)
• Proficiency in Python, TypeScript, or similar
• Experience building and shipping AI-powered features—LLM applications, agent pipelines, or workflow automation
• Ability to work across the stack: frontend, backend, and the AI layer
• Based in San Francisco or willing to relocate

Nice to Have

• Voice AI or real-time systems experience
• RAG, agent frameworks, or evaluation systems
• Background in operations tooling, sales tech, or workflow automation
• Prior startup experience

Compensation & Logistics

Salary: $140,000–$280,000 depending on experience + performance bonuses & equity Location: San Francisco, in-office. Based in SF or willing to relocate. Schedule: Monday–Friday, very early morning start, in-office five days a week. Benefits: Uber commuter benefits; breakfast, lunch, and dinner provided; snacks, drinks, and coffee daily; free gym membership; health, dental, and vision insurance.