Senior Engineering Manager - AI Agents

Full-timeOn-site$300K-$450K/yr
San Franciscovia FurtherAI CareersPosted Jul 19, 2026
Match with my CV

Technical skills

Data analysis

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 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.

At FurtherAI, we set a high bar. We're not looking for someone who just wants a job — we're looking for someone who wants to build something transformative and own a big piece of it. If you thrive where the pace is fast, expectations are high, and the rewards are outsized, you'll love it here.

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

Before you apply

  • 1Which parts of your CV prove experience with Data analysis?
  • 2Which recent work examples would make your application stronger for this role?
  • 3What details from the original source listing should you confirm before applying?
  • 4Is the listed compensation clear enough, or should you ask about salary range, currency, and benefits?

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