Technical Product Manager, AI Enablement

At Pitch Book, a Morningstar company, we are always looking forward. We continue to innovate, evolve, and invest in ourselves to bring out the best in everyone. We're deeply collaborative and thrive on the excitement, energy, and fun that reverberates throughout the company.

Our extensive learning programs and mentorship opportunities help us create a culture of curiosity that pushes us to always find new solutions and better ways of doing things. The combination of a rapidly evolving industry and our high ambitions means there's going to be some ambiguity along the way, but we excel when we challenge ourselves. We're willing to take risks, fail fast, and do it all over again in the pursuit of excellence.

If you have a good attitude and are willing to roll up your sleeves to get things done, Pitch Book is the place for you.

As part of the Product and Engineering team at Pitch Book, you'll join a collective of forward-thinkers, creators, and solvers committed to making a significant, positive difference for our customers and our organization every day. We cherish a culture of curiosity and the relentless pursuit of better solutions. Our dedication to understanding and empathizing with our customers guides our efforts to deliver outstanding experiences through innovative products.

As a Technical Product Manager, AI Enablement, you will own the product direction and execution for the platforms and capabilities that enable AI adoption across the company. You will operate as a force multiplier for Product, Engineering, Research, and Business teams by defining clear product strategy, prioritizing the highest-leverage opportunities, and ensuring AI solutions deliver measurable impact.

This role focuses on internal platforms, workflows, and enablement patterns that make AI easy, safe, and scalable to use-rather than owning end-user product features. You will translate ambiguous needs into actionable roadmaps, partner deeply with AI Enablement Engineering, and help move successful AI experiments into reusable, production-grade capabilities.

Your work will directly shape how teams build, ship, and operate with Generative AI and LLMs, accelerating delivery, improving quality, and maximizing the return on AI investments.

• Own the product vision and roadmap for AI Enablement platforms, including managed model and tool access, shared context layers, agent frameworks, and enterprise AI workflows
• Act as a force multiplier for internal teams by identifying where AI can meaningfully reduce friction, increase speed, or unlock new capabilities
• Partner closely with AI Enablement Engineering to define requirements, priorities, and milestones, ensuring fast and reliable delivery
• Lead discovery efforts to understand developer, product, and business workflows, translating pain points into high-impact product initiatives
• Drive alignment across Engineering, Product, Data Science, Security, Legal, and other stakeholders to balance innovation, safety, and scale
• Ensure successful experiments and prototypes are operationalized into reusable, production-grade capabilities
• Define standards, patterns, and "golden paths" for AI usage that promote consistency, trust, and ease of adoption
• Establish clear success metrics tied to adoption, productivity gains, and business outcomes
• Communicate roadmap, tradeoffs, and progress clearly to executive, technical, and non-technical audiences
• Champion responsible, secure, and scalable AI usage across the organization
• Support the vision and values of the company through role modeling and encouraging desired behaviors
• Participate in various company initiatives and projects as requested

• Bachelor's degree or equivalent practical experience
• 3+ years of product management experience, preferably focused on technical platforms, developer tools, or internal products
• Strong technical acumen with experience working closely with engineering teams on complex systems
• Familiarity with AI/ML systems, including Generative AI and LLM-based workflows
• Proven ability to operate in ambiguous problem spaces and translate them into clear product direction
• Experience…