Product Manager, Data & AI

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 plus. Benefits: Estimated annual base salary: $160,000–$180,000 USD, depending on experience and qualifications. Generous equity package, providing an opportunity to share in the company's growth. Fully remote working arrangement within the United States. Half-day Fridays every week, supporting work-life balance. Flexible paid time off (PTO), with a required minimum of two weeks annually. 16 weeks of fully paid parental leave for eligible employees after six months of employment. For commission-based roles, parental leave compensation is based on 100% of base salary. Comprehensive health insurance, including medical, dental, and vision coverage. 100% of employee health insurance premiums covered. 80% of dependent health insurance premiums covered. Engaging company-wide offsites and team-building experiences at various destinations. Opportunity to work with innovative AI technologies and shape the future of privacy-first healthcare data products. Collaborative, high-growth environment offering opportunities for professional development, ownership, and meaningful impact.