Sr. Product Manager, Technical

PitchBook Data•Seattle, WA

4h•$150,000 - $200,000•Onsite

About The Position

At PitchBook, 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, PitchBook is the place for you. About the Role: The AI CoBE team sits within PitchBook's Product & Engineering organization and is chartered with enabling AI adoption across all business functions. The team builds and operates shared AI platforms, manages tool access and governance, develops reusable workflow patterns, and provides the infrastructure and guardrails that allow business users to experiment safely and scale confidently. You will collaborate closely with Engineering, Product, Data Science, Security, Legal, and—critically—the business functions you serve. Your team empowers users who are not engineers to leverage AI in their daily workflows, so strong user empathy and clear communication are as important as technical excellence. As a Technical Product Manager, AI Center of Business Enablement (CoBE), you will lead the roadmap for a team responsible for building and operating the platforms that bring AI capabilities directly to PitchBook's business users—across Sales, Marketing, Finance, Operations, and beyond. This is not a research or prototyping role: your mission is to turn AI possibilities into practical, governed, day-to-day tools that help every function in the company work smarter. You will serve as the connective tissue between cutting-edge AI tooling and the real needs of internal business users. Your team owns the foundational layers that make AI usable, safe, and scalable—from agent creation and workflow automation to self-service enablement and enterprise-grade governance. You act as a force multiplier, helping business teams move from ad-hoc experiments to repeatable, production-grade capabilities that create measurable value. You will blend hands-on technical depth with genuine empathy for non-technical stakeholders, translating what's possible in AI into what's useful—and ensuring it reaches the people who need it most.

Requirements

Bachelor’s degree in Computer Science, Business, Finance, or related field
5+ years of product management experience in financial services or related domains (data analyst, data scientist, data/software engineering)
Excellent communication and collaboration skills, including with executive-level stakeholders
Familiarity with data governance, data quality, and accessibility principles
Strategic mindset with a focus on aligning data products with business objectives
Experience influencing senior leadership through data-driven insights
Hands-on experience building solutions on Microsoft Copilot, Claude, or OpenAI/ChatGPT
Demonstrated ability to build or manage AI-powered workflows for business functions such as Sales, Marketing, or Finance
Proven ability to operate in ambiguous problem spaces and translate them into clear product direction
Experience prioritizing across competing initiatives using data, user input, and business context
Excellent communication and stakeholder management skills across technical and non-technical audiences
Must be authorized to work in the United States without the need for visa sponsorship now or in the future

Nice To Haves

Experience with LLM orchestration frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel) or agent-based architectures preferred
Familiarity with enterprise data security and compliance requirements for AI deployments preferred
Track record of scaling internal AI tools from prototype to production across multiple business teams preferred

Responsibilities

Deeply understand the needs of business users across functions (Sales, Marketing, Finance, Operations) and translate them into practical AI-powered capabilities
Champion the business user experience—ensuring AI tools are intuitive, well-documented, and adopted widely, not just technically available
Partner with business stakeholders to identify high-value AI use cases and move them from idea to production
Build and maintain "golden path" solutions that make it easy for non-technical users to get value from AI safely
Own and execute the AI Enablement roadmap, including managed tool access, agent creation, workflow orchestration, and context management
Build platform roadmaps that support safe experimentation, scaling of successful AI patterns, and delivery of production-grade AI solutions
Enable teams to transition from ad-hoc AI experiments to managed, reusable capabilities embedded in daily workflows
Partner with Security and Legal to ensure AI usage meets compliance, data governance, and risk requirements
Establish standards and best practices for responsible AI use across the organization
Ensure platforms are reliable, secure, and auditable—building trust with business users and leadership
Support the vision and values of the company through role modeling and encouraging desired behaviors
Participate in various company initiatives and projects as requested