Product Manager (AI)

Develop Health•Menlo Park, CA

12d•$160,000 - $200,000•Onsite

About The Position

Develop Health is on a mission to use AI to radically accelerate access to life-saving medications. By automating complex, manual healthcare processes—like benefit verification and prior authorization—we’ve achieved 10x revenue growth over the past year, growing from $0 to >$10M in annual recurring revenue in less than 2 years, and currently help more than 400,000 new patients every month. We’re partnering with some of the largest pharmacy benefit managers and payers in the nation, revolutionizing how healthcare interactions occur by eliminating human delays and inefficiencies. Our small, elite team of founders and engineers have previously launched and exited successful healthcare startups including Rupa Health and Canvas Medical. We are now scaling rapidly following a major funding round. About The Role We're hiring an AI Product Manager to help build and improve product experiences across our platform. Reporting to the Product Lead, you will own defined workflows and work directly alongside a small pod of engineers to identify pain points, prototype solutions, and ship high-impact improvements. This is an individual contributor role for someone on their second or third PM job, not a first-time PM and not a people manager. We are looking for a smart generalist who can work through messy systems, incomplete documentation, and changing external workflows. Healthcare experience is helpful, but less important than investigative rigor, adaptability, and learning speed. This role is based in our Menlo Park office at least three days per week.

Requirements

3–6 years of product management experience, ideally in startups or other fast-moving environments.
Likely on your second or third PM role, with experience shipping real product and working closely with engineers.
Strong product judgment, prioritization, and communication skills.
Comfort operating in ambiguous environments where external systems are poorly documented, fragmented, or constantly changing.
Genuine interest in AI product development, including how to evaluate model outputs, design human-in-the-loop workflows, and understand where LLMs break down.
How our platform automates benefit verification and prior authorization — the healthcare context that shapes every product decision.
The external systems our product touches: EHRs, payer portals, PBM formularies, and NCPDP transaction standards.
Our codebase, data model, and AI workflows — where quality is strong and where there's room to improve.

Nice To Haves

Experience working on AI-powered products or LLM-based workflows in production.
Comfort with SQL, basic data analysis, or API concepts.
Experience prototyping or shipping product changes directly with AI coding tools (Claude Code, Cursor, etc.).
Experience in an early-stage startup where you had to move quickly and wear multiple hats.

Responsibilities

Turn customer pain points into clear product opportunities by speaking regularly with clinical teams, customers, and internal stakeholders.
Write clear, lightweight product requirements and partner closely with engineers to ship quickly.
Prototype and ship product changes directly using AI-native tools like Claude Code — pushing frontend changes to the repo, skipping the Figma-to-handoff cycle entirely when speed matters.
Improve the quality of our AI workflows through evaluation, testing, and feedback loops — for example, measuring how accurately our system routes prior authorization requests or surfaces the right insurance plan.
Own defined product surfaces end-to-end, driving both product and technical decisions for your domain.
Become a deep domain expert in complex healthcare systems — EHRs, payer portals, PBM formularies, NCPDP transactions — even when documentation is poor or nonexistent. Then translate that knowledge into product experiences that clinical users love.
Use product and operational data to understand adoption, friction, and impact — and use those insights to set your own priorities.