Full Stack Product Manager – Investor, Internal Platforms

Responsibilities

• Build and evolve investor-facing product experiences that improve Crunchbase’s value to investors, venture firms, founders, and venture ecosystem participants.
• Establish and operate structured feedback loops, including advisory groups, beta programs, early access cohorts, customer interviews, demos, office hours, and product feedback channels.
• Act as the voice of investors and venture ecosystem users within the Product organization.
• Translate qualitative feedback and behavioral signals into product requirements, experiments, prototypes, and roadmap recommendations.
• Identify opportunities to improve investor engagement, adoption, satisfaction, and product-market fit.
• Partner with Product, Design, Engineering, Revenue, and Operations teams to convert investor insights into high-impact product opportunities.
• Measure the impact of investor-facing initiatives using adoption, engagement, retention, satisfaction, and business outcome metrics.
• Build internal AI-powered tools and workflows that improve operational efficiency across Crunchbase.
• Identify manual, fragmented, repetitive, or brittle workflows and replace them with scalable internal systems.
• Design and implement tools that integrate data, AI models, automation, APIs, and user workflows.
• Deploy tools in limited-access internal environments for use by Crunchbase teams.
• Own the ongoing maintenance, debugging, documentation, and improvement of the internal tools you build.
• Ensure internal tools are reliable, secure, observable, and maintainable for their intended use case.
• Help internal teams adopt AI-powered workflows in practical, measurable ways.
• Define product opportunities, user problems, business requirements, and success metrics.
• Prioritize initiatives based on user impact, business value, urgency, and implementation complexity.
• Translate ambiguous problems into clear requirements, technical approaches, prototypes, and shipped solutions.
• Break initiatives into iterative milestones and manage delivery from discovery through launch and post-launch optimization.
• Make thoughtful tradeoffs across speed, quality, usability, maintainability, cost, and risk.
• Measure adoption, engagement, operational impact, and business outcomes after launch.
• Write, modify, debug, and maintain code using modern AI-assisted development workflows.
• Use vibe coding, spec-to-code workflows, rapid prototyping, and iterative development to move quickly from problem definition to working software.
• Build prototypes and production-ready internal tools that real users can rely on in limited-access environments.
• Integrate data sources, APIs, AI models, automation platforms, and user interfaces into functional workflows.
• Own performance, reliability, documentation, and ongoing improvements for the systems you build.
• Know when a solution is appropriate for direct ownership and when it requires deeper Engineering partnership for scale, security, or long-term infrastructure needs.
• Partner with Product, Design, Engineering, Revenue, Operations, and business teams to identify high-impact product and operational opportunities.
• Work directly with investors, customers, and internal stakeholders to understand needs and validate solutions.
• Communicate clearly about priorities, tradeoffs, technical constraints, risks, and expected outcomes.
• Contribute to the evolution of modern product development practices across Crunchbase.

Requirements

• 3+ years of experience in Product Management, Technical Product Management, product engineering, solutions engineering, founder/operator roles, or a comparable technical builder role.
• Experience writing code and shipping usable software products, internal tools, or AI-powered workflows that real users relied on.
• Demonstrated experience owning products or workflows from problem definition through launch and ongoing optimization.
• Experience working directly with customers or users to gather insights and drive product decisions.
• Experience leveraging AI-enabled development tools, automation platforms, APIs, data workflows, or modern product development practices.
• Experience building tools or workflows in limited-access production environments preferred.
• Experience in SaaS, venture, fintech, marketplace, data-driven technology, or investor-facing product environments preferred.
• Bachelor’s degree in Computer Science, Engineering, a related field, or equivalent practical experience preferred.
• Strong product judgment, including prioritization, scoping, requirements definition, experimentation, and tradeoff analysis.
• Ability to write, understand, debug, deploy, and maintain code using modern AI-assisted development workflows.
• Experience using AI-assisted development approaches, including vibe coding, spec-to-code workflows, rapid prototyping, and iterative debugging.
• Ability to build usable internal tools, workflows, or product experiences that real users rely on.
• Strong understanding of AI-powered systems, automation workflows, APIs, data integrations, and emerging development tools.
• Strong customer discovery skills, including the ability to gather, synthesize, and translate user feedback into product decisions.
• Excellent communication and stakeholder management skills.
• Ability to operate independently in ambiguous, fast-moving environments.
• Strong customer empathy with the ability to balance user needs, business objectives, technical complexity, and operational constraints.
• Ability to own solutions beyond launch, including documentation, debugging, maintenance, adoption, and measurement.