Crunchbase is a predictive solution that provides intelligence on private companies, powered by AI and market activity. The Full Stack Product Manager will focus on building and evolving internal AI-powered applications to improve operational efficiency and reduce manual work across the organization.
Responsibilities:
- Identify and Eliminate Operational Friction:
- Identify manual, repetitive, or brittle workflows across the organization
- Redesign processes using AI, automation, and system-level improvements
- Reduce low-leverage work to create space for higher-value thinking
- Improve interoperability, reliability, and observability across internal systems
- Build and Ship Internal AI Applications:
- Rapidly design, prototype, and launch AI-driven internal applications
- Turn rough ideas into working solutions that can be tested and validated quickly
- Use lightweight, iterative development approaches to accelerate time-to-value
- Continuously refine and improve tools based on real-world usage and feedback
- Drive Practical AI Adoption:
- Push the organization toward applied, usable AI — not experimentation for its own sake
- Evaluate emerging AI tools and technologies for pragmatic internal use cases
- Help teams rethink how work gets done in an AI-enabled operating model
- Ensure AI implementations drive measurable efficiency, speed, or quality improvements
- Partner Across the Business:
- Work directly with business leaders to understand operational pain points
- Translate ambiguous needs into structured product and technical solutions
- Operate comfortably across Product, Engineering, and business functions
- Align solutions with company-wide goals and measurable outcomes
Requirements:
- 5+ years of experience in Product Management, Technical Product Management, or a related technical builder role
- Experience building or implementing AI-powered applications, automation workflows, or internal systems
- Demonstrated experience operating at the intersection of business and engineering
- Track record of rapidly prototyping and launching practical solutions that improve operational efficiency
- Strong technical foundation in AI, internal systems, automation, and modern tooling
- Ability to design, prototype, and ship working AI-driven solutions independently
- Systems thinker who understands both technical architecture and human workflow design
- Comfortable navigating and improving existing tools without rigid definitions or guardrails
- Builder mindset — prototypes quickly, iterates frequently, and ships practical solutions
- Operates effectively in ambiguity and proactively identifies inefficiencies others overlook
- Action-oriented with a strong bias toward execution and measurable outcomes
- Ability to translate ambiguous business needs into structured product and technical solutions
- Comfortable working across Product, Engineering, and business functions
- Strong communication skills, including the ability to translate technical concepts for non-technical stakeholders
- Demonstrated curiosity and fluency in emerging AI tools and capabilities
- Bachelor's degree in Computer Science, Engineering, Business, or a related field preferred (or equivalent practical experience)