Job Information
PitchBook Data Product Manager II, Technical AI/ML in Seattle, Washington
At PitchBook, 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: As a member of the Product and Engineering team at PitchBook, 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! PitchBook's Technical Product Manager works collaboratively with key stakeholders and project teams to execute the department's product roadmap. This role plays an active role in defining strategy, roadmap prioritization, and supporting AI/ML-driven products and services within our Data Collection/Technology Automation domain. You will be responsible for overseeing the integration of AI/ML technologies into processes that enable efficient, accurate, and scalable data sourcing, ingestion, extraction, validation, enrichment, and hygiene across many datasets. Primary Job Responsibilities: Develop and drive the product strategy and roadmap for AI/ML applications in data collection and automation processes, against business goals around efficiency, scalability, and data accuracy Lead efforts to automate data processing, validation, and integration workflows using machine learning models, improving operational efficiency and reducing manual intervention Be a domain and subject matter expert for usage of AI/ML solutions and understand data operations user workflows and data pipeline needs Provide guidance on AI/ML model integration, ensuring products and services are scalable, performant, and aligned with both business needs and technical constraints Ensure that AI/ML models and data handling practices comply with relevant data privacy regulations and internal governance standards Actively define backlog priority for your team(s) in collaboration with Product and Engineering Break down prioritized requirements into well-structured backlog items and acceptance criteria for the engineering team to complete Manage, track, and mitigate risks or blockers for delivery of features according to the Product Roadmap Define, create, and manage metrics for AI/ML-driven features, ensuring alignment with business objectives such as data accuracy, processing speed, and operational efficiency 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: Bachelor's degree in Data Science, Engineering, Finance, Information Management, or related