Sr. Product Manager, GenAI

Position: Sr. Product Manager, GenAI Experience
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.

About the Role:

As a member of the Product and Engineering team at Pitch Book, you will be part of a team of big thinkers, innovators, and problem solvers who strive to deepen the positive impact we have on our customers and our company every day. We value curiosity and the drive to find better ways of doing things. We thrive on customer empathy, which remains our focus when creating excellent customer experiences through product innovation.

We know that greatness is achieved through collaboration and diverse points of view, so we work closely with partners around the globe. As a team, we assume positive intent in each other’s words and actions, value constructive discussions, and foster a respectful working environment built on integrity, growth, and business value. We invest heavily in our people, who are eager to learn and constantly improve.

Join our team and grow with us!

Are you an exceptional Senior Product Manager ready to revolutionize how users discover insights? We're seeking a visionary leader to own the user journey, product strategy, and customer experience (CX) for Pitch Book's AI & Conversational Search capabilities within our platform. This role sits at the intersection of UX innovation and AI-powered discovery, focused on defining high-value natural language workflows and translating them into impactful product outcomes and business value.

This is a highly visible role that will require deep collaboration with executive leadership, engineering, machine learning, design, and other cross-functional teams.

Primary

Job Responsibilities:

• Define and own the end-user problem space for conversational search, identifying unmet needs and target personas to build new and valuable solutions

• Identify and validate high-impact, natural-language workflows through user research, log analysis, and rapid, iterative experimentation, ensuring a data-driven approach to product development

• Define and maintain a use-case playbook to guide model training, prompt design, and intuitive UX conventions, driving consistency and excellence

• Design model-driven UX patterns, including error states, confidence indicators, and feedback loops that enhance user trust and satisfaction

• Partner with domain Product Managers to prioritize data integrations that enable valuable, answerable queries for our users

• Iterate with bias for action to consistently seek product-market-fit, measure business impact, and optimize for growth

• Support the vision and values of the company through role modeling and encouraging desired behaviors

• Participate in various company initiatives and projects as requested

Skills and

Qualifications:

• 5+ years of progressive product management experience, with expertise in search, analytics, or AI-powered workflow tools

• Proven ability to lead user discovery and shape ambiguous problem spaces into focused product scopes

• Strong UX intuition in AI-assisted workflows where output quality can vary, while delivering experiences that scale and delight users

• Experience leading cross-functional teams through all stages of AI product development lifecycle across engineering, machine learning, design, data operations, research, marketing, and finance teams

• Strong familiarity with Large Language Models (LLMs), search systems, model evaluation methodologies, and iterative refinement…