Senior Product Manager, AI & Data Science Products

Crunchbase is hiring a Senior Product Manager to own its customer-facing AI data layer, developing proprietary intelligence from foundational data using AI and machine learning. The role focuses on validating customer needs, launching and scaling AI data products, and driving their quality, adoption, and monetization.

Responsibilities:

• Own the strategy and roadmap for Crunchbase’s customer-facing AI data layer
• Identify high-value opportunities for new predictions, classifications, signals, and insights that improve customer decisions
• Build a differentiated portfolio of AI data products rather than isolated AI features
• Partner with Foundational Data to determine when customer needs are best addressed through collected, acquired, inferred, predicted, or generated data
• Work directly with customers to identify where new or better data can materially improve their workflows and decisions
• Rapidly test new AI data concepts, validate customer value, and scale successful products
• Define how model-derived data, including confidence and uncertainty, should be presented to customers
• Partner with Design, Engineering, and Data Science to deliver AI data across Crunchbase products, APIs, MCP, and data delivery experiences
• Define quality standards and evaluation frameworks for model-derived data in partnership with Data Science
• Determine when an AI data product is sufficiently reliable for scaled customer use
• Balance customer value, coverage, accuracy, freshness, and generation cost
• Monitor product and data performance and continuously improve quality based on customer feedback and observed outcomes
• Drive adoption of AI data products across Crunchbase’s customer experiences and distribution channels
• Partner with Go-to-Market on positioning, customer education, and launch strategy
• Partner with Pricing and Packaging and Sales to identify monetization opportunities
• Measure adoption, retention, expansion, revenue, and customer outcomes to determine which products to scale, improve, or retire

Requirements:

• Strong product judgment across customer discovery, strategy, prioritization, experimentation, and tradeoffs
• Strong understanding of data products and how customers derive value from proprietary data and insights
• Practical understanding of modern machine learning and AI capabilities and limitations
• Working knowledge of applied data science and machine learning
• Ability to translate product requirements for Data Science and Engineering teams
• Familiarity with model evaluation concepts such as precision, recall, confidence, and model drift
• Ability to reason about probabilistic and imperfect data and define appropriate quality thresholds
• Strong analytical skills and ability to balance customer value, quality, coverage, cost, and speed
• Excellent customer discovery, communication, and cross-functional leadership skills
• 3+ years of Product Management, Data Product Management, AI/ML Product Management, or comparable experience
• Experience owning customer-facing data science products from problem definition through launch and ongoing monitoring
• Experience partnering closely with Data Science and Engineering teams
• Demonstrated experience taking products from customer discovery and experimentation through scaled adoption
• Ability to define quality criteria that reflect customer needs and make informed quality and coverage tradeoffs
• Experience with B2B SaaS, data products, APIs, intelligence platforms, or commercializing differentiated data preferred