Furtherai

Engineering Manager - AI Agents

San Francisco, California, United StatesFull timeManager$300,000 - $450,000 / yearPosted 13 days ago
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ABOUT US

At FurtherAI, we're building the AI agents that run insurance - a trillion-dollar industry still powered by manual work. By combining frontier agentic AI with deep domain expertise, we're reshaping how the industry's most critical work gets done.

We've raised more than $30M from top investors (Andreessen Horowitz, YC, Nexus, South Park Commons, Converge), grown more than XY00% in the last 12 months, and work with some of the largest names in insurance - top 10 carriers/brokers, F100 & public companies

We are a deeply technical company. Both founders are engineers and engineers have an outsized say on product direction.

Now, we're looking for an exceptional engineering leader to own our AI organization - the agents, infrastructure, and products at the core of everything we build.

WHY JOIN US

- Outsized ambition: We're out to build the definitive AI company for insurance - a trillion-dollar industry - and we're moving faster than anyone in the space.

- Own the AI org: Lead our AI team and grow it into the engine of the company - hiring the leaders under you as we scale post-Series A.

- Elite team: Founders and engineers from the best companies and schools in the world - ex-Apple AI Research, Brex, Coinbase, and Uber; 4 YC founders and 6 ex-founders; grads of Stanford, Berkeley, IITs, and Cornell.

- Massive market impact: Insurance is the backbone of global commerce. Our work reshapes how the industry operates.

- Founder's mindset: Own a huge piece of the company and build a team from the ground up - ideal if you want to start your own thing one day.

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 cust...