Engineering Manager

What You'll Do

• Own and grow the AI org. Lead our AI team today and scale it into three teams - AI infrastructure (routing & reliability), Agent intelligence (evals, shared tools, multimodal pipelines), and Agentic products (the customer-facing AI assistant, long running agentic workflows).
• Set technical direction for how we build agents that hold up in real production, on real customer money.
• Recruit, mentor, and retain a world-class team of AI engineers - and hire the team beneath you as the org grows.
• Stay deeply technical. You'll still be in the code and the architecture. You set the bar by example, not from the sidelines.
• Push the frontier of what agents can do for insurance as the field moves.

Representative Projects

• Model router to operate on the Pareto frontier of speed and accuracy
• Infrastructure for long-running agents
• A general-purpose AI assistant that reads documents, pulls from connected systems, and takes actions end to end

What We're Looking For

• Proven experience leading AI/ML engineering teams building production LLM/agent systems — you've managed engineers and shipped, not just advised.
• Deep, hands-on understanding of agentic architectures — tool use, planning, multi-agent orchestration, evals, reliability.
• Strong technical bar — still fluent in the code; can dive deep and evaluate experiment design rigorously.
• Track record building and scaling teams — recruiting strong people and growing leaders under you.
• Clear communicator, in person and in writing.
• Bonus: B2B SaaS and working at a early stage growth startup.
• Above all: drive, grit, and ownership. If you excel here, other requirements are secondary.

Benefits

• Fully covered, best-in-class health, dental, and vision
• Competitive compensation, meaningful stock options, company 401(k)
• Unlimited PTO
• Outstanding in-office culture in the heart of San Francisco
• Lunch and dinner onsite
• Team events - happy hours and off-sites
• Pre-tax commuter benefits