Full Stack Product Manager - Internal AI Applications

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)