Product Engineer

AI Product Engineer - Series B Healthcare AI (SoMa, San Francisco)

San Francisco (SoMa)
· 4 days onsite · $180K–$285K base + competitive equity
· Visa sponsorship considered (H-1B transfers, TN, OPT)
· Relocation support available
· 2–4 hires

I'm running an exclusive search for a Series B healthcare AI company in San Francisco. Series B just closed with two of the best-known Sand Hill Road names on the round - general partners themselves, not associates. Revenue went from $200K to $10M last year . Product is live inside two of the highest-bar academic medical centres in the US. Named World's Most Innovative in 2026 and Best in AI Implementation in 2025.

They are 24 people, 7 in engineering, deliberately keeping the team small. The seat is an AI Product Engineer working directly with the VP of Engineering on the platform that lets health systems build, share and deploy AI agents for clinical and operational work.

Around fifty patients so far have had treatment they otherwise wouldn't - and the reason each time is a workflow one of these engineers shipped. That's the tone of the work.

A platform for health systems to build, share and deploy AI agents across clinical and operational tasks. The mental model is the three-step loop that runs most clinical work: pull the knowledge, reason over it, take the action. Same product shape as the agent platforms hitting sales and support right now, in a much harder industry - the users aren't developers, the stakes are life-ending and the buyers are among the most conservative in the world.

They bet early on agentic capability. That means every frontier-model release makes the product materially better out of the box and the engineering team gets to focus on the layer above - orchestration, evals, primitives, the last-mile UI a clinician actually clicks.

• Own product features end-to-end - ideation, design, build, ship, deploy. There are no PMs.
• Build and scale agentic workflows and agent primitives for reliable long-running clinical reasoning.
• Roughly 65% backend, 35% frontend on the first hire. Python for backend, React/Type Script for frontend. Rust and Kubernetes are learnable on the job - don't rule yourself out on those.
• Split your time roughly half on code and half on planning, reviewing, and thinking about user impact and architecture.
• Interface directly with clinicians, end-users and customer call recordings. You are the one hearing the pain and shipping against it.
• Contribute ~60–70% on top of existing infrastructure, ~30–40% net-new.

The team is flat, async and product-driven. No standups. No PMs. Everyone reports to the VP of Engineering. If you like sprints, tickets and layered management, this is not for you!

2-8 years of full-time software engineering - sweet spot 4-6. The seat is squarely IC-builder; engineers who've moved into management or want to, this isn't the one.

CS degree is stated. Strong Python for backend is non-negotiable. React/Type Script on the frontend. Familiarity with Rust, Kubernetes, Helm and AWS is welcome but the team have said clearly these are learnable on the job.

The load-bearing gate (and the one worth being honest with yourself about) is what the HM calls "one clear peak." At least one of the following on your CV:

• Strong CS degree (think top-10-adjacent
  - Stanford/MIT/Berkeley/CMU tier, but the team has interviewed strong Berkeley and UCLA profiles, so read this as "top-tier practical bar" rather than a strict ranking).
• Fast promotion at a recognisable engineering-culture company.
• Founding engineer at a VC-backed startup during a real growth phase.
• Standout team at a hard-to-enter organisation (Stripe/Palantir/Scale/Databricks/Anthropic-tier).

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