Senior Product Manager - Pricing & Packaging

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, deal makers, 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. Crunchbase has a remote‑first approach, and is open to hiring in residents of these states:
California, Colorado, Illinois, Florida, Georgia, Massachusetts, Nevada, New Jersey, New York, North Carolina, Oregon, Pennsylvania, South Carolina, Texas, Virginia, Washington, and Maine. Our inclusive remote‑first culture, competitive pay, and employee wellness benefits set us apart!

As Product Manager for this role, you will own Pricing & Packaging across our product‑led growth motion. This role focuses on how customers discover value, choose plans, upgrade, team expansion, and involuntary churn. This product manager role is responsible for the product‑led side of pricing and packaging, while partnering with Sales and GTM teams to support sales‑assisted use cases. Pricing and Packaging is one of our core product teams and, like most startup teams, the scope naturally evolves.

This role will continue to expand into adjacent or entirely new problem spaces where strong product judgment is needed.

• Pricing & Packaging Execution
  • Support the design, testing, and iteration of pricing and packaging models across products and customer segments.
  • Own discrete pricing and packaging initiatives from discovery through launch, under the direction of the Director of Product Management.
  • Partner with Engineering to ensure accurate implementation of pricing and packaging changes.
• Data, AI & Insights
  • Utilize AI‑powered analytics tools to analyze customer behavior, usage patterns, and pricing sensitivity.
  • Support pricing and packaging experimentation using AI‑assisted analysis (e.g., pattern detection, cohort analysis, predictive insights).
  • Partner with Data and Analytics teams to apply AI‑driven models or insights that inform pricing recommendations.
  • Use generative AI tools to accelerate research synthesis, experiment analysis, documentation, and internal communication—while applying strong judgment and validation.
• Cross‑Functional Collaboration
  • Work closely with Sales, Marketing, Finance, Rev Ops, and Customer Success to ensure pricing and packaging changes are clearly understood and operationally ready.
  • Contribute to enablement materials and internal communications related to pricing and packaging updates.
  • Gather and synthesize feedback from internal teams and customers to inform future iterations.
• Customer & Market Understanding
  • Develop a strong understanding of customer needs, willingness to pay, and perceived value.
  • Support competitive analysis to understand market trends and positioning.
  • Participate in customer research efforts, including interviews and feedback analysis.
• Delivery & Process
  • Write clear product requirements, user stories, and acceptance criteria for pricing and packaging initiatives.
  • Help ensure launches are well‑coordinated, on time, and meet quality standards.
  • Perform other related duties as assigned.

• Bachelor’s degree in Business, Economics, Data Analytics, Computer Science, or a related field.
• 5+ years in Product Management, with meaningful ownership of pricing, packaging, billing, or monetization initiatives
  • Ideally includes owning payment or billing systems at meaningful scale (e.g. $10M+ ARR)
• Experience with subscription or usage based billing systems
  • Bonus points for candidates who have architected and launched new pricing tiers or usage based models
• Proven success optimizing self‑serve user journeys, including pricing, checkout, upgrade and cancellation flows.
• Nice to have:
  Exposure to direct sales or hybrid PLG sales…