[Hiring] Product Manager @Bayesian Health, Inc.

Role Description

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.

• Opportunity Assessment: review existing clinical literature and work with health system executives to understand their goals and validate a new module’s business case.
• 0->1 PM: define the product vision, north star metrics, ROI drivers, and user stories with input from internal and external clinicians.
• 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.
• 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.
• 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.

Qualifications

• 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)

Requirements

• 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

Benefits

• Competitive total rewards package
• Estimated base salary range: $140,000-$185,000
• Meaningful stock option grants
• Comprehensive medical, dental, and vision insurance options
• Paid Time Off (PTO) and paid sick leave
• 401(k) retirement savings plan
• Remote-first work environment with optional WeWork memberships

Logistics

• Must live in the US
• Unfortunately, we are unable to sponsor visas
• Occasional domestic travel required, 3-5 client visits per year

Traits we value

• 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.

How to Apply

Send your resume + a short note answering:

• 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?
• 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.

Additional resources

• 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