Product Manager

Product Manager

Bayesian Health is a clinical AI platform that empowers nurses and doctors to make earlier and better clinical decisions at the point of care. We’re a diverse team of clinicians, engineers, research scientists, and product thinkers committed to using the latest AI advancements to improve care delivery and save lives. Our research has been published in leading medical journals, like Nature Medicine.

We're fortunate to be backed by some of the most discerning investors in tech and biotech: Obvious Ventures, Andreessen Horowitz, the American Medical Association’s venture arm, Catalio Partners, and LifeForce Capital. We've also received some recognition along the way, including Forbes AI Top 50, World Economic Forum Tech Pioneer, Time Best Inventions, and BioTech AI Company of the Year.

Bayesian’s platform includes a series of modules embedded within the electronic health record (EHR). Each module is specific to a clinical use case (e.g. sepsis) and empowers nurses and providers through timely clinical information. Modules are developed with input from the world’s most respected health systems, like Cleveland Clinic and Mayo Clinic.

The role of a Product Manager at Bayesian is to maximize value for our health system customers over a 1-year time horizon, ensuring our platform is an indispensable part of their standard of care every year.

This is a broad and ambitious mandate, which requires PMs at Bayesian to have much more scope than traditional PMs. As such, product management is just one of several types of work you’ll complete to launch new modules and drive maturing ones:

1. Opportunity Assessment: review existing clinical literature and work with health system executives to understand their goals and validate a new module’s business case.

2. 0->1 PM: define the product vision, north star metrics, ROI drivers, and user stories with input from internal and external clinicians.

3. Rapid Prototyping: Use Cursor, Claude Code, or Codex CLI to build an interactive proof-of-concept. Iterate with end users to build trust and identify points of friction.

4. Product deployment: Partner with engineering, research, and the customer’s integration team to get the module deployed. Collaborate with research to define data requirements for model training and ground truth for model evals. Scope workflow requirements with the client and our engineering team.

5. 1-> n PM: The module is live and impacting patient care, now you must continue shipping to drive adoption and ROI. Analyze usage, debug process or institutional barriers to adoption, and continue speaking to end users to understand pain points. Guide the tech team and the client to ensure the module maximizes value for the customer.

We don’t expect past experience in all of these areas, but you must be self-aware and bring a growth mindset for skills you need to build.

As one of the first Product Managers, you will report to the Lead PM and have significant scope. You will own the roadmap for several clinical modules and work closely with engineers, clinicians, and research scientists to drive value for major health systems. This role offers significant autonomy and the opportunity to shape the company’s product culture.

• Former founders who want to retain end-to-end ownership and can switch between a 0->1 and 1->n mindset.

• Former nurses or doctors who understand clinical motivations and workflows and want to build products used by clinicians across the world.

• Technical product managers who want greater scope and are excited by the ambition and complexity of problems that save patient lives.

• Former healthcare consultants who can quickly and deeply understand healthcare business strategy

• Bachelor’s degree in computer science, business, or pre-health field

• 3+ years of experience taking technical products from idea to launch to maturity

• Hands-on experience with coding agents (Claude Code, Codex, Cursor): must be able to explain your process and decisions on stack and architecture

• Proven healthcare curiosity: work experience, volunteering, side projects, reading clinical papers—not just "I want impact"

• Data analysis proficiency: must be able to write SQL or use LLMs to write SQL

• Startup experience: Comfortable with ambiguity, shifting priorities, and building without playbooks (Series B or earlier)

• Written code that went through engineering PR reviews

• Worked in healthcare settings (clinical, operational, technical roles)

• Experience building AI/ML products and working with research teams

• Conducted user interviews and translated insights into roadmap

• Experience building enterprise healthcare solutions and presenting to external executive stakeholders

• Experience building regulated healthcare products containing PHI/PII

• Extreme ownership: Takes full responsibility for the module, from the first concept to long-term success and measured outcomes.

• Curiosity: Can rapidly absorb knowledge about new, complex domains and continuously seek to understand the needs of users and executives.

• Living in the future: you have opinions about what will be true about healthcare in 5, 10, and 20 years and are inspired to create a part of it.

• Tactical: you can translate your future vision into pragmatic milestones along the way.

• High agency: you don’t wait for permission to fix broken processes and you have a bias to action.

• Strategic communication: You can present technical, clinical, and business ideas simply and precisely to everyone from a bedside nurse to the c-suite.

• Hands-on builder: Comfortable prototyping a PoC and working with engineers to define and troubleshoot complex system integrations.

• Clinical empathy: Care deeply about improving patient outcomes and making a clinician’s job easier.

• Attention to detail: Catches bugs early and treats product design as a craft.

• Comfort in ambiguity: Has a history of successfully delivering large, complicated products even when the initial project details were vague.

• No ego: Embraces any role needed to deliver outcomes; no job is too small.

• Must live in the US

• Unfortunately, we are unable to sponsor visas

• Occasional domestic travel required, 3-5 client visits per year

Bayesian Health provides a competitive total rewards package that reflects our commitment to our team and our mission to improve patient care.

• Salary Range: The estimated base salary for this role is $145,000-$185,000. Final compensation is determined by a variety of factors, including the candidate’s experience, specific skill set, and geographic location.

• Equity: Meaningful stock option grants, ensuring every team member has a stake in the company’s long-term success.

• Health & Wellness: Comprehensive medical, dental, and vision insurance options.

• Time Off: Paid Time Off (PTO) and paid sick leave to support work-life balance and personal well-being.

• Retirement: 401(k) retirement savings plan.

• Work Environment: We are a remote-first company and provide optional WeWork memberships for those who value a co-working environment.

Send your resume + a short note answering:

1. Describe something you built with AI coding tools—what was the problem you were trying to solve and what did you build? What did you learn?

2. What demonstrates your healthcare curiosity beyond "I want impact"?

Our process: recruiter screen → hiring manager interview → team interviews (engineering, presentation, executive) → decision. Typically 2-3 weeks for strong candidates.

• Cleveland Clinic announces system-wide rollout of sepsis module

• NBC News segment about Bayesian at Cleveland Clinic

• “Unlocking Hidden Data to Save Lives” (Obvious Ventures Report)

• “Better Medicine Through Machine Learning” at TEDxBoston