Product Manager, Data & AI

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Product Manager, Data & AI based in the United States. We are looking for a commercially minded Product Manager, Data & AI, to shape innovative data products that help healthcare organizations make smarter, privacy-conscious marketing decisions. In this role, you will transform complex healthcare data into actionable insights and measurable business outcomes. You will work closely with dedicated engineering teams and cross-functional stakeholders to identify customer needs, validate opportunities, and bring new capabilities to market. Leveraging AI-first workflows, you will accelerate product discovery, prototype solutions, and test ideas directly with customers. You will also play a key role in ensuring that AI-powered solutions are reliable, measurable, and supported by appropriate human oversight. This is an exciting opportunity to influence product strategy within a fast-growing technology environment while helping advance privacy-first innovation across the healthcare industry. Accountabilities: • Lead the development of data-driven products that improve marketing performance and deliver measurable outcomes for healthcare organizations. • Transform complex customer data into actionable insights, enabling healthcare marketers to understand patient behavior, identify conversion opportunities, and make informed decisions. • Identify opportunities to develop innovative capabilities using compliant first-party data, helping customers access insights and marketing tools while protecting sensitive health information. • Drive the full product lifecycle, from customer discovery and problem definition to prototyping, validation, prioritization, development, launch, and continuous improvement. • Collaborate closely with engineering teams to define product requirements, evaluate technical solutions, prioritize development efforts, and deliver high-quality products. • Use AI-powered tools, large language models (LLMs), coding assistants, and data agents to accelerate research, prototype concepts, analyze information, and validate product ideas. • Establish appropriate evaluation frameworks and human review processes to ensure AI-powered features deliver reliable, accurate, and trustworthy results. • Assess commercial opportunities by estimating potential revenue, validating customer willingness to pay, and prioritizing initiatives based on business impact. • Define product positioning, packaging, and go-to-market strategies in collaboration with Product Marketing and Account Management teams. • Partner with Account Management and Customer Success to drive product adoption, support customer activation, and ensure customers achieve measurable value from newly launched capabilities. • Establish clear success metrics and performance indicators to evaluate product effectiveness, customer engagement, adoption, and business outcomes. • Gather customer feedback and analyze product performance data to identify improvement opportunities and inform future product decisions. • Contribute to the development of AI-first product discovery and validation practices, helping establish scalable approaches to experimentation and customer research. • Work collaboratively across engineering, design, Account Management, Customer Success, and Product Marketing to ensure alignment between customer needs, product strategy, and commercial objectives. Requirements: • Minimum of 3 years of product management experience, including responsibility for product discovery, development, execution, and delivery against defined performance objectives. • Strong understanding of data-driven marketing concepts, including first-party data, audience segmentation, attribution, conversion tracking, and closed-loop measurement. • Hands-on experience using AI-powered tools and workflows, including LLMs, coding assistants, and data agents, to accelerate product research, prototyping, analysis, and experimentation. • Sound understanding of AI limitations and the ability to implement evaluation frameworks, quality controls, and human oversight into AI-powered products. • Strong commercial and business acumen, with the ability to assess market opportunities, estimate revenue potential, and validate customer willingness to pay before investing in development. • Demonstrated ability to define customer problems, conduct discovery, and translate business needs into clear product strategies and actionable requirements. • Comfortable working with ambiguity, incomplete information, and evolving priorities while making well-reasoned decisions and managing competing trade-offs. • Strong analytical and data-driven mindset, with the ability to define measurable outcomes, interpret performance metrics, and use insights to guide product priorities. • Experience collaborating with cross-functional teams, particularly engineering, design, customer-facing teams, and marketing stakeholders. • Excellent communication and stakeholder management skills, with the ability to explain product decisions, present recommendations, and build alignment across teams. • Ability to take ownership of product initiatives from initial concept through launch, adoption, and ongoing optimization. • Experience in healthcare technology, healthcare marketing, or working with privacy-regulated data is a strong advantage. • Familiarity with healthcare privacy requirements, including HIPAA, is preferred. • Experience developing conversion optimization, experimentation, or marketing analytics products is beneficial. • Hands-on familiarity with advertising and analytics platforms such as Google Analytics, Google Ads, and Meta is an advantage. • Experience with product pricing, packaging, and commercialization of new capabilities is preferred. • Previous experience working in an early-stage or high-growth technology startup is a pl