Senior Data Product Manager

Responsibilities

• Own a product area end-to-end: deeply understand customer problems, define the product vision, clearly articulate desired outcomes and acceptance criteria, prioritize ruthlessly, and ship thoughtfully.
• Prototype, test and deliver new data products and algorithms with engineering and small, nimble cross-functional teams.
• Drive discovery by partnering with customers, product marketing, and data teams to uncover unmet needs and turn them into compelling, scalable software.
• Integrate AI effectively, both in how you work (e.g., research, analysis, content generation) and in what we build, leveraging LLMs and automation where they create user value and differentiation.
• Collaborate with data, machine learning, and analytics engineers to operationalize and harden our data products and tooling, and to ensure the success of solutions that build on our data.
• Communicate clearly and regularly - both in meetings and in writing. Drive a compelling roadmap to ensure everyone is working toward clear goals and outcomes.
• Balance short- and long-term bets. Keep the team focused on measurable outcomes today while building toward a compelling long-term product vision.
• Own key metrics to measure and improve product and business outcomes.
• Uphold high standards of integrity, curiosity, and ambition—championing what’s right for our users, our team, and the business.

Requirements

• 5+ years of product management experience, ideally in vertical B2B. Successful record of managing and shipping great software products.
• 1+ years leading and building AI solutions.
• Built complex data products as part of a cross-functional team.
• Practical hands-on technical experience; comfortable digging into data, building code with AI tools and tracking metrics.
• Strong grasp of product fundamentals: discovery, prioritization, metrics, user feedback loops, and go-to-market alignment.
• Adept at using AI tools in daily work and experience delivering AI powered features. Realistic understanding of LLM capabilities and limits.
• Proven ability to make smart tradeoffs in ambiguous environments—handling technical constraints, business priorities and strong personalities.
• Strong attention to detail; communicate clearly and concisely, and tell stories using data.
• Curious with a bias towards action to solve customer problems; comfortable with ambiguity.

Nice to Haves

• Built healthcare-specific data products as part of a cross-functional team.
• Prior product management experience in vertical growth stage AI solutions.
• Experience with LLM integration, data-driven solutions, or complex user roles/personas.
• Ability to build prototypes with tools like Claude Code.
• Deep desire to understand and empathize with a dataset before using it.
• Demonstrated mentorship or leadership in previous PM roles.

Compensation and Benefits

• Base salary range: $175,000-$215,000.
• Equity and benefits included.
• Learning Budget for up-skilling.
• Full-remote flexibility for employees in the US with work-from-home stipend.
• Flexible PTO.
• 100% paid health, dental, and vision plans for employees (75% for dependents).
• Home Office Stipend of $1,000.
• Optional Team Retreats.
• 8-16 weeks of fully-paid parental leave.