Senior Product Manager, AI & Data Science Products

This is a fully remote position, open to applicants in United States.

📋 Description

• Take ownership of the strategy and roadmap for Crunchbase’s customer-oriented AI data layer.

• Discover opportunities for predictions, classifications, signals, and insights that enhance customer decision-making.

• Develop a unique portfolio of AI data products.

• Collaborate with Foundational Data to identify suitable data methodologies.

• Conduct customer discovery sessions to validate AI data concepts.

• Define how model-derived data is presented, including aspects of confidence and uncertainty.

• Work alongside Design, Engineering, and Data Science teams to integrate AI data across products, APIs, MCP, and data delivery experiences.

• Establish quality standards and evaluation frameworks for model-derived data.

• Balance factors such as customer value, coverage, accuracy, freshness, and generation cost.

• Monitor and enhance product and data performance.

• Promote adoption across customer experiences and distribution channels.

• Collaborate with Go-to-Market, Pricing and Packaging, and Sales on positioning, launches, and monetization efforts.

• Assess adoption, retention, expansion, revenue, and customer outcomes to decide which products to scale, enhance, or phase out.

⛳️ Requirements

• A minimum of 3 years in Product Management, Data Product Management, AI/ML Product Management, or a related field.

• Proven experience managing customer-facing data science products from problem identification to launch and ongoing evaluation.

• Experience in close collaboration with Data Science and Engineering teams.

• Demonstrated ability to transition products from customer discovery and experimentation to widespread adoption.

• Capacity to define quality criteria that reflect customer needs while making trade-offs in quality and coverage.

• Strong product judgment in areas of discovery, strategy, prioritization, experimentation, and trade-offs.

• Solid understanding of data products and the customer value derived from proprietary data and insights.

• Practical knowledge of modern machine learning and AI capabilities and their limitations.

• Familiarity with applied data science and machine learning concepts.

• Ability to communicate product requirements effectively to Data Science and Engineering teams.

• Understanding of precision, recall, confidence, and model drift.

• Ability to analyze probabilistic and imperfect data and set quality thresholds.

• Strong analytical capabilities.

• Excellent skills in customer discovery, communication, and cross-functional leadership.

• Experience with B2B SaaS, data products, APIs, intelligence platforms, or the commercialization of unique data is preferred.

🏝️ Benefits

• Competitive salary and performance bonuses.

• Comprehensive health, dental, and vision insurance.

• Flexible work hours and a supportive remote work policy.

• Opportunities for professional growth and development.

• Collaborative and inclusive company culture.