Crunchbase is a predictive solution that provides intelligence on private companies, and they are seeking a Full Stack Product Manager for their Investor Platform & Internal AI Tools. This role involves improving product experiences for investors and building internal AI tools to enhance operational efficiency, requiring hands-on technical execution and collaboration across teams.
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
- 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
- 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
- Experience building tools or workflows in limited-access production environments
- Experience in SaaS, venture, fintech, marketplace, data-driven technology, or investor-facing product environments
- Bachelor's degree in Computer Science, Engineering, a related field, or equivalent practical experience