Senior Data Product Manager

Own a data product area from customer discovery through roadmap, delivery, and measurement. You’ll work with engineering, data, machine learning, analytics, and customer-facing teams to turn complex data and AI capabilities into useful, scalable software. The role calls for a hands‑on product leader who can make sound choices in ambiguous settings and connect near‑term outcomes to a durable product direction.

• Define product vision, outcomes, acceptance criteria, and priorities for an assigned area.
• Discover unmet needs by working with customers, product marketing, and data teams.
• Prototype, test, and deliver data products and algorithms with cross‑functional engineering teams.
• Identify where AI, language models, or automation can provide meaningful user value, and guide those capabilities into products.
• Partner with data, machine learning, and analytics engineers to operationalize products and supporting tools.
• Maintain a clear roadmap, communicate progress, and own metrics used to assess product and business results.

• At least five years of product management experience, ideally with vertical B2B software, and a record of shipping successful products.
• At least one year building or leading AI solutions.
• Experience developing complex data products with cross‑functional teams.
• Strong product fundamentals across discovery, prioritization, metrics, user feedback, and go‑to‑market coordination.
• Practical technical skills, including comfort investigating data, using AI tools, and tracking product metrics.
• Ability to make tradeoffs across user needs, technical constraints, and business priorities, and communicate decisions clearly.

• Remote work across the United States, with a home‑office stipend and Wi‑Fi reimbursement.
• Health, dental, and vision coverage; flexible time off and hours; learning support; and 8–16 weeks of paid parental leave.
• Optional team gatherings and several in‑person collaboration opportunities each year.