Senior Product Manager, AI & Data Science Products
Owns Crunchbase’s AI-driven data layer, defining proprietary intelligence products that improve private-market decisions and monetization through customer discovery, experimentation, and scaled adoption.
- Compensation
- Not disclosed
- Location
- Seattle, US
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 3+ years
- Category
- Data science
- Posted
Skills
Must have
- 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.
Full description
About Crunchbase
Crunchbase is a predictive solution that provides intelligence on private companies, powered by the unique combination of live private company data, AI, and market activity from over 80 million users. We predict private market movements that matter to help investors, dealmakers, and analysts make the right decisions.
We are committed to fostering a positive, diverse, and inclusive culture by hiring for potential and embracing individuals with diverse perspectives, backgrounds, experiences, and skill sets. We value transparency and openness, believing that an inclusive environment strengthens our teams and enhances our products.
About the Role
The Senior Product Manager, AI & Data Science Products owns Crunchbase’s customer-facing AI data layer: proprietary data and intelligence generated from foundational data using AI and machine learning.
The primary charter is to identify high-value opportunities for new model-derived data, validate their value with customers, and take successful products from experimentation through scaled adoption.
Success is measured by three outcomes:
- New differentiated data: Create proprietary intelligence that Crunchbase could not practically produce through collection alone.
- Higher customer value: Help customers discover, understand, evaluate, and prioritize their private market jobs more effectively.
- Revenue and adoption: Turn valuable AI data into measurable usage, retention, expansion, and monetization opportunities.
What You’ll Do
AI & Data Science Product Strategy
- 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.
Customer Discovery & Product Development
- 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.