Product Manager

Hearst•South San Francisco, CA

2d•$130,000 - $165,000•Hybrid

About The Position

First Databank (FDB) is seeking an individual-contributor Product Manager to manage and advance healthcare technology products across its portfolio. The role partners with Product Management leadership, Engineering, Clinical, Marketing, Sales, Customer Success, Finance, external customers, and other stakeholders to define priorities, guide product development, and deliver measurable value to healthcare organizations, clinicians, software developers, and technology partners. The successful candidate brings healthcare technology experience, business judgment, technical fluency, customer empathy, and practical understanding of responsible AI use. The Product Manager will shape products with an impact across healthcare and advance FDB’s software, platform, and data-driven product strategy. Success requires ownership, collaboration, influence, and the ability to lead through expertise and clear communication. The role is based in the San Francisco, California, or Carmel, Indiana, office and follows a hybrid model, with onsite work expected at least three days per week. Periodic travel to customer sites, industry events, and company meetings in the United States and Canada is required. The role includes using AI-enabled tools responsibly for product discovery, customer research, competitive analysis, requirements development, workflow analysis, documentation, and communication. The Product Manager must critically evaluate AI-generated material, understand core AI concepts and limitations, assess AI product opportunities, apply privacy and governance standards, and partner with technical, clinical, compliance, and security teams on responsible AI use.

Requirements

At least three years of product management, product ownership, business analysis, or related software product experience; healthcare technology experience is preferred.
Experience managing product roadmaps, defining product requirements, prioritizing enhancements, and supporting software products through launch and post-launch optimization.
Strong understanding of software product development and Agile methodologies, including collaboration with Engineering, QA, Clinical, and business stakeholders.
Ability to translate complex customer, clinical, technical, and business needs into actionable product requirements and roadmap recommendations.
Strong analytical, communication, presentation, and decision-making skills.
Comfort working with software platforms, APIs, SDKs, cloud-based applications, data integrations, or developer-facing tools.
Demonstrated ability to influence cross-functional teams without direct authority.
Bachelor’s degree in computer science, information systems, healthcare informatics, business, life sciences, or a related field, or equivalent practical experience.
Ability to travel periodically to customer sites, industry events, and company meetings in the United States and Canada.
Ability to use AI-enabled tools effectively with sound judgment, privacy awareness, and critical review.
Understanding of core AI concepts, including generative AI, large language models, natural language processing, automation, model limitations, and human-in-the-loop review.
Strong product ownership, accountability, strategic thinking, product judgment, and prioritization skills.
Excellent presentation, writing, stakeholder communication, organizational, planning, and collaboration skills.
Customer-centric mindset and curiosity about healthcare workflows, clinical decision support, and emerging technology.
Sound judgment in balancing innovation, clinical quality, technical feasibility, regulatory considerations, and business value.

Nice To Haves

Experience in integrated drug information, clinical decision support, EHR workflows, pharmacy systems, healthcare interoperability, or regulated healthcare environments.
Experience with technical products such as APIs, SDKs, cloud platforms, data services, or enterprise software integrations.
Experience developing business cases, product positioning, launch plans, customer-facing materials, or sales enablement content.
Experience working directly with enterprise healthcare customers, software vendors, channel partners, or strategic accounts.
MBA, graduate degree, product management certification, healthcare informatics training, or equivalent advanced experience.
Professional experience using AI-enabled productivity, analytics, research, or product management tools.
Understanding of responsible AI principles, including transparency, privacy, bias mitigation, explainability, human oversight, and appropriate use of sensitive healthcare data.

Responsibilities

Own the product roadmap, backlog priorities, and lifecycle management for assigned product areas.
Define and communicate product goals, customer needs, business objectives, requirements, and success metrics.
Conduct market research, customer discovery, competitive analysis, and industry trend assessment to identify product opportunities and unmet needs.
Translate market, customer, clinical, technical, and business requirements into product requirements, user stories, acceptance criteria, and release priorities.
Partner with Software Engineering, Clinical, UX, QA, Security, Compliance, and other teams to guide product development from discovery through launch.
Recommend priorities based on customer value, market opportunity, revenue impact, clinical quality, technical feasibility, regulatory considerations, and strategic alignment.
Develop business cases for new products, enhancements, and investment opportunities with Finance and business stakeholders.
Support go-to-market strategies, launch plans, positioning, sales enablement, and customer communications with Marketing, Sales, Customer Success, and Training.
Build relationships with customers, prospects, partners, and internal stakeholders to inform roadmap decisions and support adoption.
Analyze product performance, customer feedback, usage data, and market signals to guide continuous improvement.
Serve as a product subject matter expert, including through customer presentations, internal training, and strategic account support.
Identify opportunities to improve product scalability, usability, interoperability, and value across healthcare technology ecosystems.
Influence cross-functional teams through data, customer insights, product expertise, and clear communication.
Use AI tools responsibly to support product discovery, research, analysis, requirements, documentation, and stakeholder communication.
Critically assess AI-generated content for accuracy, completeness, bias, assumptions, hallucinations, and business relevance.
Assess AI-enabled product opportunities for customer value, feasibility, risk, compliance, clinical quality, and operational impact.
Apply privacy, security, regulatory, and data governance standards when using AI, especially in healthcare and clinical information contexts.
Partner with technical, clinical, compliance, and security teams to evaluate responsible AI use cases.
Stay informed about AI trends affecting healthcare technology, clinical decision support, interoperability, developer platforms, and product management.