Product Manager
Foundationhealthcareers
| Company | Foundationhealthcareers |
| Category | Product |
| Location | United States - Remote |
| Remote | Remote |
| Employment | Not stated |
| Level | Manager |
| Salary | Not stated by the employer |
| Posted | 27 Jul 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (ashby) |
Description
About Foundation Health
Foundation Health is transforming healthcare through an AI-powered digital pharmacy platform that seamlessly connects operational infrastructure with high quality patient experiences. Our mission is to transform patient centric care by connecting fragmented infrastructure, optimizing care coordination, and removing friction from the patient journey. We refuse to adhere to the status quo; instead, we actively pioneer solutions that will shape the healthcare practices of tomorrow.
This ambitious vision is only achievable with the dedication of the right team propelling us forward. We firmly believe that a supportive and inspiring work environment fuels creativity, transforming it into groundbreaking innovation. It is this very innovation that not only benefits our organization but also positively impacts our people, partners, and most importantly, our patients.
At Foundation Health, we foster a culture that encourages our team members to broaden their horizons, urging them to bring their passion and curiosity to the workplace each day. We understand that diverse perspectives fuel progress, and we actively seek individuals who share our commitment to excellence and forward-thinking.
Why this role is different
Most PM roles at this stage hand you a feature and a roadmap someone else wrote. This one doesn't.
You'll own real product direction — the kind of ownership that's hard to find until you've done another five years somewhere bigger. You'll take genuinely ambiguous problems ("patients keep dropping off between prescription and refill — fix it") and decide what gets built and why. And because we're an AI-first company shipping AI products into production healthcare environments, you'll be working on some of the most interesting product problems going: where do models help, where do they fail, and how do you earn patient and clinician trust around them?
If you've already shipped AI products — taken something powered by LLMs or ML from zero through to real users, made the hard calls, learned from what happened — this is the place where that experience compounds. You won't be evangelising AI to a sceptical org; it's the foundation of everything we build.
What you'll actually do
- Own product direction across a slice of our ecosystem — from patient-facing experiences to AI-driven workflow automation for pharmacy teams
- Take things 0-1: real discovery with customers and clinicians, scrappy MVPs, buy-vs-build calls, validation before you build and staged rollouts after — then shipped product, quickly. Our cycle times are short and your decisions ship
- Decide where AI belongs and where it doesn't — scoping agents properly, defaulting to human-in-the-loop where clinical safety demands it, and making sure things fail safely when they fail
- Sit at the centre of engineering constraints, customer expectations and leadership trade-offs — and show up with concrete options, not escalations
- Work daily with Engineering and Design; you'll be in the detail, not above it
- Make the business case, not just the product case — the best PMs here can put numbers behind "why this, why now"
- Challenge how we do things — we're young enough that good ideas get built quickly, and there's real room to shape how product gets done as the team grows
Who thrives here
- Real builders — founders very welcome. People whose track record is 0-1: spotting the problem, doing the messy early discovery, shaping the product, shipping it to real users, and owning what happened next. If you've started something yourself — even if the mission's now done and you're hunting for that blank-page energy again — you'll fit right in.
- People who've shipped AI products, not just used AI tools. There's a big difference between building automations with a classification layer and owning an AI product end to end. You don't need to be an engineer, but you should be able to hold your own on
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