Product Manager, Data & AI

• 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.