Senior Product Manager, Clinical AI

ModMed is hiring a Senior Product Manager to own strategy, roadmap, and end-to-end delivery for AI-enabled clinical products on its Clinical EHR platform. The role leads cross-functional execution, AI product quality and safety, stakeholder alignment, and product adoption in healthcare.

Responsibilities:

• Own the clinical AI product strategy and roadmap. Define vision, outcomes, and prioritization for AI-enabled clinical documentation and adjacent practice-operations workflows, balancing clinical accuracy, patient safety, and day-to-day practice efficiency
• Take AI products from idea to scaled adoption. Lead discovery, requirements, alpha/beta programs, launch, and post-launch iteration. Own the success metrics (e.g., provider time saved, adoption, accuracy/acceptance rates, cost to serve) and act on what the data shows
• Act as the Product lead for cross-functional execution. Independently drive Engineering, Data Science/ML, QA, UX, Clinical SMEs, Security/Compliance, Legal, Support, Implementation, Marketing, and Sales toward a single plan with clear owners, dates, and decision points. Run your own programs without needing management to coordinate on your behalf
• Manage executive stakeholders. Provide regular, concise updates to senior and executive leadership on progress, trade-offs, risks, and business impact. Build alignment, negotiate priorities, and escalate with a recommendation. Say no, with reasoning, when needed
• Define how AI behaves as a product surface. Specify human-in-the-loop experiences (review, edit, override, feedback), confidence and error handling, evaluation criteria and acceptance thresholds, and quality monitoring in partnership with ML engineers and clinicians
• Own clinical safety and responsible-AI readiness. Work with clinical leadership, Compliance, and Security to define safety review, escalation, and governance for AI features, including HIPAA, PHI handling, and regulatory expectations
• Understand the market, providers, and staff. Translate provider, front/back-office, customer, and competitive insight into a roadmap that meets company and customer goals
• Communicate strategy and tactics. Present the vision and details of the roadmap internally and externally; produce decks, requirement docs, and customer communications that illustrate strategy, features, and releases
• Partner with Engineering on delivery. Participate in Agile ceremonies (PI planning, standups) and work with the Release Train Engineer and Engineering leadership on refinement and release. Convert requirements into well-scoped, job-sized features with clear acceptance criteria, and define and document epics
• Manage releases and rollout. Coordinate release management and rollout documentation across teams, including alpha and beta releases with provider and staff feedback through launch
• Use AI in how the product team works. Apply AI tools throughout the product development lifecycle (requirements, research synthesis, test-case generation, prototyping) to raise team velocity and quality, and coach others to do the same

Requirements:

• 8+ years of Product Management experience, including 5+ years in healthcare technology and at least 2 years at a senior level, managing a roadmap and creating functional requirements (use cases/user stories, clinical and practice-operations workflows, technology requirements)
• Profound, hands-on knowledge of how to build, ship, and manage clinical AI software products
• You have taken at least one AI/ML or LLM-powered product from concept to production use by clinicians or healthcare staff and can speak to what worked, what failed, and why
• Command of LLM/ML product fundamentals — non-determinism, evaluation design and golden datasets, prompt and model behavior testing, accuracy/latency/cost trade-offs, model and vendor selection, human-in-the-loop design, and monitoring for drift and quality in production
• You can engage as a technical peer with ML and software engineers
• Demonstrated ability to independently serve as the Product lead on complex, multi-team programs — setting direction, driving decisions, managing dependencies and risk, and holding teams accountable without direct authority
• Proven record of managing senior and executive stakeholders on high-visibility initiatives: clear written and verbal communication, sound judgment on what to escalate, and the confidence to advocate for decisions and prioritization
• Working knowledge of clinical workflows and EHR/EMR functionality — e.g., clinical documentation, orders/results, clinical decision support
• Experience delivering software in healthcare under HIPAA and related privacy/security requirements
• Strong analytical skills, with a history of defining success metrics and driving measurable improvements through enhancements and automation
• Highly self-directed and well-organized, comfortable with ambiguity, managing multiple priorities and deadlines in a fast-paced environment, and independently driving meetings across Engineering, Product, UX, clinical SMEs, and customers
• Strong presentation skills for varied audiences, including clinicians, office staff, customers, and executives
• Track record working with teams across countries and time zones
• Experience with practice-operations features (tasking, document management, messaging) is a strong plus
• Familiarity with healthcare quality/compliance frameworks (HEDIS, MIPS/MACRA, ONC certification, meaningful use) and interoperability standards (HL7, FHIR) is a plus
• Familiarity with Jira/Confluence, Google Suite, and Agile/SAFe methodologies is a plus
• Hands-on use of AI tools (e.g., ChatGPT/Claude/Copilot) in the product development lifecycle is a strong plus
• Clinical background (e.g., MD, RN, PharmD), experience in specialty EHR or ambient/AI documentation products, or certifications such as Pragmatic Marketing, CPHIMS, or PMP