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Staff Product Manager, Content Understanding - Machine Learning

Pinterest

$163,064 - $335,720
Nov 4, 2025
Seattle, WA, US • Remote, US
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At Pinterest, the business problem is to bring everyone the inspiration to create a life they love by building advanced content understanding signals, driving personalization, discovery, shopping, and business outcomes across the platform.

Requirements

  • Previous successful experience partnering with machine learning engineering teams
  • Experience working with recommendations or understanding teams is a plus
  • Strong analytical skills to define product strategy and drive decision making, making appropriate trade-offs based on data analysis and qualitative feedback from Pinners
  • Exceptional communicator who builds deep alignment across engineering, product, and business partners—skilled in influencing at all levels and facilitating decision-making across organizations
  • Demonstrated success in product management or related experience at fast-growing companies
  • Proven ability to lead in ambiguous environments, aligning across functions, teams, and orgs to deliver on time in a highly collaborative environment
  • Bachelor’s degree in a relevant field such as Computer Science, or equivalent experience

Responsibilities

  • Developing, aligning the organization around, and driving the strategy and roadmap for Content Understanding Signals
  • Lead cross-functional development of engagement, contextual, and relevance signal products that serve a diverse range of business and user needs—including Shopping, Search, Growth, and Ads
  • Build, launch, and scale features that deepen Pinterest’s understanding of semantic meaning, relationships, and trends across all global content
  • Build strong partnerships with engineering, data science, and multiple product groups to translate vision to metrics, OKRs, and product deliverables
  • Represent the Content Understanding team in org-level forums, proactively communicating progress, strategy, and tradeoffs to senior leadership and partner teams
  • Nurture a culture of transparency, data-driven decision-making, and continuous learning within the team
  • Lead product innovation at the intersection of machine learning and user experience—developing the core relevance and quality signals

Other

  • Bachelor’s degree in a relevant field such as Computer Science, or equivalent experience
  • US based applicants only
  • This position is not eligible for relocation assistance
  • This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country
  • We let the type of work you do guide the collaboration style