Sr. Product Manager, Technical AI/ML

PitchBook DataSeattle, WA
8hOnsite

About The Position

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! Are you an exceptional Senior Product Manager with a technical focus and entrepreneurial spirit, ready to build a new business line from the ground up? This highly visible role will work on an initiative that is a key part of PitchBook's growth strategy. This role plays an active role in defining strategy, roadmap prioritization, and supporting AI/ML-driven products and services. This role will own and prioritize the product roadmap for AI/ML data collection and experiences. As a Sr. Product Manager, this role will also be expected to keep up on the latest AI/ML technologies and act as an evangelist and consultant with other teams to help them identify solutions to their specific business needs.

Requirements

  • Bachelor's degree in Data Science, Engineering, Finance, Information Management, or related field
  • 4+ years of combined experience in technical product management, product ownership, or other relevant experience, with a focus on data science and/or AI/ML applications in data-rich environments
  • A proven record of shipping high impact data-related products and data discovery tools
  • Bias for action, with a willingness and drive to help deliver a 0-1 product, doing what is necessary to meet team goals
  • Experience translating user-centric requirements and specifications into user stories and tasks
  • Superior attention to detail including the ability to manage multiple projects simultaneously
  • Strong verbal and written communication skills, including strong audience awareness
  • Must be authorized to work in the United States without the need for visa sponsorship now or in the future

Nice To Haves

  • Experience working with data science and end-user facing teams preferred
  • Background in fintech product space preferred

Responsibilities

  • Develop and drive the product strategy and roadmap for AI/ML applications with regards to Data Collection needs and goals, while prioritizing efficiency, scalability, and data accuracy
  • Be a domain and subject matter expert for usage of AI/ML solutions and work with Product teams to understand their user workflows and data collection 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, Architecture, 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
  • Remain up-to-date on the fast changing AI/ML tools and technologies that can be applied to the PitchBook Data Collection workflows
  • Support the vision and values of the company through role modeling and encouraging desired behaviors
  • Participate in various company initiatives and projects as requested

Benefits

  • Comprehensive health benefits
  • Additional medical wellness incentives
  • STD, LTD, AD&D, and life insurance
  • Paid sabbatical program after four years
  • Paid family and paternity leave
  • Annual educational stipend
  • Ability to apply for tuition reimbursement
  • CFA exam stipend
  • Robust training programs on industry and soft skills
  • Employee assistance program
  • Generous allotment of vacation days, sick days, and volunteer days
  • Matching gifts program
  • Employee resource groups
  • Subsidized emergency childcare
  • Dependent Care FSA
  • Company-wide events
  • Employee referral bonus program
  • Quarterly team building events
  • 401k match
  • Shared ownership employee stock program
  • Monthly transportation stipend
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