Full Stack Product Manager - Internal AI

About Crunchbase

About Crunchbase Crunchbase is a predictive solution that provides intelligence on private companies, powered by 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, Missouri, 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 an AI-forward Full Stack Product Manager at Crunchbase, you will accelerate how we apply AI, automation, and connected systems across the company.

This role sits within the Product organization and focuses on building and evolving internal AI-powered applications that increase operational velocity, reduce manual work, and improve how teams execute. You will identify friction across workflows, redesign brittle processes, and ship practical solutions that meaningfully improve how work gets done.

This is not a strategy-only role. You will operate as a builder. You will rapidly design, prototype, and launch internal AI-driven tools. You will not “own” every system, but you will modernize, connect, and evolve them so they work better together and materially reduce operational drag.

This role is about applied AI, system-level thinking, and execution at speed.

• 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
• 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
• 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
• 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

• 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
• Bachelor’s degree in Computer Science, Engineering, Business, or a related field preferred (or equivalent practical experience)
• 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…