TL;DR

Lead AI Healthcare Product Manager: Leading the next stage of UpToDate Expert AI by partnering with clinicians, engineers, and business leaders to shape solutions that improve real-world care with an accent on uncovering needs, translating insights into clear product direction, and guiding innovative AI features from concept to scale. Focus on defining evaluation, safety, and monitoring needs for responsible clinical AI and ensuring strong product-market fit and measurable outcomes.

Location: Hybrid (8 days/month) in USA (Waltham, MA; Coppell, TX; Philadelphia, PA; Princeton, NJ; Kennesaw, GA)

Salary: $145,500–$203,900

Company

%hirify_global% combines medical expertise with modern AI to help clinicians deliver better, more efficient care.

What you will do

Shape and influence the product vision and roadmap for UpToDate Expert AI.
Define and drive product OKRs, communicating progress with data.
Engage with clinicians and customers to validate ideas and translate insights into product requirements.
Guide AI features from concept to launch, defining evaluation, safety, and monitoring needs.
Collaborate with clinical, data science, and engineering teams on model lifecycle.
Align cross-functional partners and iterate using data insights.

Requirements

5+ years product management experience in AI, healthcare, or enterprise SaaS.
Proven success leading products from 0→1 in complex or regulated environments.
Strong understanding of clinical workflows and provider pain points.
Experience with user discovery, product analytics, and hypothesis-driven development.
Excellent communication with clinicians, executives, and technical teams.
Ability to simplify ambiguity and drive clarity across teams.

Nice to have

Technical fluency in AI/ML, LLMs, NLP, and cloud environments.
Experience with knowledge management or structuring complex information.
Familiarity with HIPAA, SOC 2, HITRUST, MDR/IVDR.
Experience designing or interpreting experiments and pilots.

Culture & Benefits

Hybrid work model requiring 8 days per month onsite.
Opportunity to combine medical expertise with modern AI.
Focus on improving real-world clinical care.
Collaborative environment with clinicians, engineers, and business leaders.

Hiring process

Candidates must participate in interviews without the assistance of AI tools or external prompts.
Virtual backgrounds should be removed during interviews.
In-person interviews may be part of the process.