Product Manager

Hearst•South San Francisco, CA

1d•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 development, and deliver measurable value to healthcare organizations, clinicians, software developers, and technology partners. The position calls for healthcare technology experience, business judgment, technical fluency, customer empathy, and practical understanding of responsible AI use in product workflows and capabilities. The Product Manager shapes products with healthcare impact and contributes to FDB’s software, platform, and data-driven product strategy through ownership, influence, and cross-functional collaboration. The position is based in FDB’s 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 responsible use and evaluation of AI-enabled tools for product discovery, research, analysis, requirements, workflow analysis, documentation, and communication. The Product Manager must critically review AI-generated content and consider privacy, security, regulatory, clinical, and data-governance requirements, especially in healthcare contexts.

Requirements

At least three years of product management, product ownership, business analysis, or related software product experience; healthcare technology or related 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, and experience collaborating 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 AI concepts including generative AI, large language models, natural language processing, automation, model limitations, and human-in-the-loop review.
Ability to evaluate AI-generated content for accuracy, completeness, bias, assumptions, hallucinations, and business relevance.
Ability to apply appropriate privacy, security, regulatory, and data-governance standards when using AI tools in healthcare and clinical information contexts.

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 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 products, enhancements, and investment opportunities with Finance and business stakeholders.
Support go-to-market strategies, launches, 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 subject matter expert for assigned products 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 using data, customer insights, product expertise, and clear communication.
Use AI tools responsibly for product discovery, customer research, competitive analysis, requirements development, workflow analysis, documentation, and stakeholder communication.
Apply prompt-writing and AI-assisted analysis techniques to improve productivity and decision-making, and critically evaluate AI-generated content.
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 tools, and partner with technical, clinical, compliance, and security teams on responsible AI use cases.
Stay informed about AI trends affecting healthcare technology, clinical decision support, interoperability, developer platforms, and product management.