An AI product manager in healthcare, in late 2026, is usually one of three jobs: a product lead inside a clinical AI company (Abridge), a PM who turns a frontier model into a tool for scientists (OpenAI's Rosalind team), or an Agent PM who ships patient and member facing AI agents for health plans and providers (Sierra and Decagon). AllthingsPM holds 8 of these job descriptions in its jobs catalog, and every one has a scored mock interview built from its own text, which is the quickest way to rehearse for a specific healthcare AI role.
AllthingsPM is an AI PM course and PM interview prep platform. On 28 September 2026 all 8 roles were live, with posted pay from $180K to $468K plus equity. All 8 name healthcare or life sciences experience, 6 of 8 ask for work in a regulated or compliance heavy setting, and only 3 make domain experience a hard requirement. Below is every role, what it pays, what it asks for, and how to prepare.
Which healthcare AI PM roles are open right now?
We pulled every posting from the AllthingsPM jobs catalog on 28 September 2026 and filtered for roles whose title or team is healthcare, clinical or life sciences. That left 8. The same day we checked each company's live Ashby job board, which publishes pay [1][2][3][4].
| Role | Company | Location | Years named | Pay on live board (28 Sep 2026) |
|---|---|---|---|---|
| Rosalind Life Sciences Product Manager | OpenAI | San Francisco | None named | $347K to $468K + equity |
| Product Lead, Foundational Models and Post-Training | Abridge | San Francisco | 7+ | $250K to $290K + equity |
| Product Lead, AI/ML (Evals) | Abridge | San Francisco | 5+ | $250K to $290K + equity |
| Forward Deployed Product Manager | Abridge | San Francisco | 7+ | $260K to $290K + equity |
| Product Lead, Clinical Decision Support | Abridge | San Francisco | 7+ | $240K to $290K + equity |
| Product Lead, Core Product Experiences | Abridge | San Francisco | 5+ | $200K to $270K + equity |
| Senior Agent Product Manager, Healthcare | Decagon | New York City | 6+ (3 in healthcare) | $200K to $285K + equity + commission |
| Product Manager, Agent Development, Healthcare | Sierra | San Francisco | 5 to 7+ | $180K to $390K + equity |
Pay from each company's public Ashby board, checked 28 September 2026 [1][2][3][4]. Abridge's board also listed a Product Lead, Nursing Product in New York ($230.4K to $268.8K) that is not yet in our catalog.
Three patterns stand out. Abridge is hiring the most, with five San Francisco product leads and a sixth role in New York. OpenAI's single life sciences role carries the highest band. Sierra's band is the widest, which fits a role that is levelled at interview.
How AllthingsPM does this. Every row above links to a page in the AllthingsPM jobs catalog with the full posting and a Start mock button. The JD-based mock interview asks questions drawn from that posting's own requirements, follows up on weak answers and scores you, in text or voice. You rehearse for the exact Abridge or Sierra role, not a generic PM loop.
What does Abridge ask of its AI product managers?
Abridge turns patient and clinician conversations into clinical notes, and its postings say it is live in 300+ health systems and has powered over 80 million clinical conversations [5]. Fortune reported in June 2026 that Abridge is valued at $5.3 billion, raised a $316 million Series E extension in April 2026, and is co-developing a foundation model for clinical conversations with NVIDIA [6].
The five Abridge postings split into two kinds of work.
Model roles. The Foundational Models and Post-Training lead owns "the product strategy that connects research bets to product outcomes." It asks for working knowledge of fine-tuning, preference optimization, evaluation and inference, and a framework for "when to use a frontier model, an open model, a prompted workflow, or an Abridge-trained model." The Evals lead owns the platform 10+ teams use to measure quality, sets standards for LLM judges and human annotation, and must let teams evaluate a new frontier model "within days of release."
Clinical workflow roles. The Clinical Decision Support and Core Product Experiences leads both ask you to shadow clinicians in exam rooms and work across Epic and other EHR surfaces. CDS adds a build, license or partner decision for evidence sources and a warning against alert fatigue. The Forward Deployed PM goes on site at health systems, leads a small pod, travels about 20% of the time, and has to "hold the line on bespoke requests that don't generalize."
Only Core Product Experiences calls healthcare experience "strongly preferred." The other four list it as a bonus. What they all insist on is a high bar for evidence. The post-training posting says "aggregate model scores can hide consequential failures" and that clinical AI needs "escalation, abstention, and human-review paths."
How AllthingsPM does this. The AllthingsPM Abridge company hub holds questions written from these exact roles, such as choosing between a frontier API and an in-house model for a clinical documentation workload and moving CDS from early access to broad adoption. Our Abridge PM interview guide walks through the loop.
What does OpenAI's life sciences PM role involve?
OpenAI launched GPT-Rosalind, a model for biology, drug discovery and translational medicine, on 17 April 2026, working with partners including Amgen, Moderna, the Allen Institute and Thermo Fisher Scientific [7]. The Rosalind Life Sciences Product Manager owns Rosalind Workbench, the environment where scientists use those tools, data sources and models.
The posting asks you to prioritise workflows "across discovery biology, verification, and CRO management," to prototype with Codex, Rosalind Workbench and GPT-Rosalind before committing engineering time, and to drive enterprise readiness for pharma and biotech: data protection, admin controls, security and procurement. It also asks for people who "have built model evaluations or benchmarks" and who know "a convincing output is not sufficient proof of scientific validity."
This is the role where domain depth matters most. OpenAI wants "substantive life sciences experience," enough to discuss experimental design and data quality with researchers. It says an advanced degree helps, but equivalent practical experience counts. It is also the only one of the eight that names founder experience as a plus.
How AllthingsPM does this. The AllthingsPM OpenAI company hub has questions like how OpenAI should handle hallucinations in high stakes uses such as medical advice. Pair it with the course chapter on evals, since proving scientific validity is an evals problem, and our OpenAI PM interview guide.
What do Sierra and Decagon want from healthcare Agent PMs?
Sierra and Decagon both sell customer facing AI agents, and both now hire PMs who specialise in healthcare. The job is to sit with one large customer and ship the agent that answers its patients or members.
Sierra. The Healthcare Agent Development posting says Sierra's healthcare agents "already reach over 50% of U.S. families." Example projects include agents that answer "what's my co-pay for a primary care visit?", schedule across 30+ clinics, and replace paper intake forms. It asks for 5 to 7+ years, senior PM level, executive messaging and demos, and lists HIPAA knowledge, AI agent experience and some React, TypeScript and Go as pluses. Sierra's healthcare page lists customers including Sutter Health, Novant Health and R1 RCM, plus HIPAA, SOC 2 and HITRUST certifications [8]. In January 2026 Sierra and Stellarus announced a partnership for health plans after a Blue Shield of California voice agent pilot scored 4.4 out of 5 on customer satisfaction [9].
Decagon. The Senior Agent Product Manager, Healthcare role covers "Payer, Provider, Pharmacy, Labs, and Life Sciences" and says you will be "among the first dedicated healthcare Agent PMs." It is the most demanding on domain experience: 6+ years with at least 3 in healthcare, "real fluency in how healthcare actually operates," and shipping under "HIPAA, BAA, PHI minimization, SOC 2 or HITRUST." You own the trust posture: consent, escalation to licensed clinical staff and what an agent may not say. It is also the only role of the eight whose posted pay includes commission. Decagon raised $250 million at a $4.5 billion valuation in January 2026 [10].
How AllthingsPM does this. The AllthingsPM Sierra hub and Decagon hub hold role specific questions, for example how to handle a Sierra agent giving wrong information that costs the client money and a bank's security review blocking a Decagon agent launch. For the role itself, read Agent Product Manager: the role explained.
Do you need healthcare experience to become an AI PM in healthcare?
Less often than you might think. Every one of the 8 postings mentions healthcare or life sciences background, but only 3 (Decagon, OpenAI and Abridge Core Product) make it a firm ask. The other five, including all four remaining Abridge roles and Sierra, list it under "bonus points" or "even better."
What they do require is proof you can work where mistakes matter. Six of eight ask for regulated or compliance heavy experience. Abridge's Evals role wants "a track record of delivering high quality products in domains where accuracy, reliability, and trust are paramount," which a fintech or safety PM can show. The CDS role asks for "a high bar for accuracy in domains where being wrong has real consequences."
So a strong AI PM from another regulated field can compete for most of these roles. Learn the vocabulary: payer and provider, PHI, BAA, EHR, prior authorization, clinical decision support. Then show you have made quality calls under constraint.
How AllthingsPM does this. The AI PM course teaches the AI half of these roles, built from 604 real PM job postings, and the knowledge graph maps how concepts like evals, guardrails and agents connect. To see how your current resume reads against a healthcare posting, run resume review against a JD.
What skills do these healthcare AI PM postings share?
Reading the 8 postings side by side, the same asks repeat:
- Evidence and evals. Abridge Evals, Abridge post-training and OpenAI Rosalind all ask for model evaluation experience. CDS asks for clinical quality and safety KPIs.
- Trust and safety paths. Escalation to clinicians, abstention, human review and limits on what an agent may say appear in the Abridge, Decagon and Sierra postings.
- Time with users where they work. Exam room shadowing at Abridge, on site discovery for the Forward Deployed PM, working directly with lab researchers at OpenAI.
- Build, buy or partner calls. Frontier versus in-house models at Abridge, licensed versus built evidence sources for CDS.
- Executive presence. Decagon's counterpart is the C-suite; Abridge's Forward Deployed PM presents to CMOs, CMIOs and CIOs; Sierra asks for messaging tailored to executives.
How AllthingsPM does this. AllthingsPM covers each of these in one place: the evals chapter for evidence, the question bank for trust, strategy and metrics questions, and the forward deployed PM guide for customer facing work. Our AI evals guide for product managers is a good first read.
How should you prepare for a healthcare AI PM interview?
A four step plan that maps to what the postings ask:
- Pick one posting and read it line by line. Open it in the AllthingsPM jobs catalog and note every requirement you cannot yet prove.
- Tailor your resume to it. Run resume review against that JD and rewrite bullets to show regulated, high accuracy work and AI product decisions.
- Practice on the company's own questions. Work through the Abridge, Sierra, Decagon or OpenAI hub, then answer out loud with the mock interview.
- Rehearse the full role. Run the JD mock built from the posting until your scores hold steady.
If none of these eight fit, Resume Job Match finds live roles that match your resume, and the full jobs catalog has 116 AI PM postings at 18 companies.
How AllthingsPM does this. All four steps happen inside AllthingsPM, on the free tier to start. That matters when you are preparing for a role this specific: you are not stitching a course, a question list and a mock tool together from different sites.
Why AllthingsPM is the better choice for healthcare AI PM prep
Healthcare AI PM roles are narrow. A generic PM interview course will teach you product sense and metrics, but it will not have a question about Abridge's build, license or partner call for evidence sources, or a mock built from Decagon's healthcare Agent PM posting. AllthingsPM has both.
Specifically, AllthingsPM gives you all 8 healthcare postings from this post with a mock built from each, company hubs for all four employers, an AI PM course built from 604 real job postings with a full evals chapter, resume review against any JD, and Resume Job Match for finding the next role. It costs $20 a month or $120 a year, with a free tier.
Other options have real strengths. Human coaching platforms give you a person who may have worked in healthcare, and healthcare communities give you peers who know the vocabulary. For daily, role specific practice against the exact posting you are applying to, at a fraction of coaching prices, AllthingsPM is the stronger choice.
Browse the healthcare AI PM roles in the AllthingsPM jobs catalog and start a free mock on the one you want.
Frequently asked questions
What is the best way to prepare for an AI product manager healthcare interview?
AllthingsPM is the best place to start: it holds the Abridge, OpenAI, Sierra and Decagon healthcare PM postings with a mock interview built from each, plus company question hubs and an AI PM course with a full evals chapter. Read the posting, tailor your resume with resume review against the JD, then run the JD mock until your scores hold.
How much do healthcare AI product managers earn?
On 28 September 2026 the 8 roles in this post listed pay from $180K to $468K plus equity. OpenAI's Rosalind Life Sciences PM was highest at $347K to $468K. Abridge's five product leads ranged from $200K to $290K, Decagon's healthcare Agent PM was $200K to $285K plus commission, and Sierra's was $180K to $390K.
Do I need a clinical background to be an AI PM at Abridge?
Not for most roles. Four of Abridge's five postings in our catalog list healthcare experience as a bonus, and Core Product Experiences calls it strongly preferred. All of them ask for a high bar for evidence, safety and trust, plus strong technical fluency with ML teams.
What is a healthcare Agent PM at Sierra or Decagon?
It is a senior PM who works with one large healthcare customer, such as a health plan or provider, and ships the AI agent that talks to its patients or members. The work covers discovery, demos, the agent build and compliance, including HIPAA and PHI handling. Decagon asks for at least 3 years in healthcare; Sierra lists it as a plus.
Which healthcare AI PM role pays the most?
Of the 8 roles we read, OpenAI's Rosalind Life Sciences Product Manager had the highest posted band, $347K to $468K plus equity, on 28 September 2026. It also asks for substantive life sciences experience and model evaluation work.
Where can I find more AI PM jobs beyond healthcare?
The AllthingsPM jobs catalog lists 116 AI PM postings at 18 companies, each with a mock interview. Resume Job Match searches live roles against your resume if you want a wider net.
Sources
- Abridge job board (Ashby), roles and pay, checked 28 September 2026. https://jobs.ashbyhq.com/abridge
- OpenAI job board (Ashby), Rosalind Life Sciences Product Manager, checked 28 September 2026. https://jobs.ashbyhq.com/openai/2b5c3a30-8e8b-4845-be40-0617b0c9fd43
- Sierra job board (Ashby), Product Manager, Agent Development, Healthcare, checked 28 September 2026. https://jobs.ashbyhq.com/sierra/65eb2c63-c936-4e8e-87e7-ea080dcdca73
- Decagon job board (Ashby), Senior Agent Product Manager, Healthcare, checked 28 September 2026. https://jobs.ashbyhq.com/decagon/95524337-b5e7-4156-9022-af5c192f174d
- Abridge, Product Lead, Clinical Decision Support and Product Lead, Core Product Experiences postings. https://jobs.ashbyhq.com/abridge/5acb269b-6ca0-4890-ae3f-ffb46e99d2ba
- Fortune, "Abridge wants to be the operating system for medicine," 11 June 2026. https://fortune.com/2026/06/11/abridge-operating-system-medicine-nvidia-eli-lilly-artsight/
- Euronews, "What to know about OpenAI's new model for life sciences research GPT-Rosalind," 17 April 2026. https://www.euronews.com/2026/04/17/what-to-know-about-openais-new-model-for-life-sciences-research-gpt-rosalind
- Sierra, healthcare industry page. https://sierra.ai/industries/healthcare
- Sierra, "Sierra and Stellarus: advancing a new model for AI-powered healthcare member experience," 12 January 2026. https://sierra.ai/blog/sierra-and-stellarus
- Decagon (company), Wikipedia. https://en.wikipedia.org/wiki/Decagon_(company)
- AllthingsPM jobs catalog, 8 healthcare and life sciences postings, read 28 September 2026. https://allthingspm.app/jobs
