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Pinterest

Staff Product Manager, Content Understanding - Machine Learning

Sorry, this job was removed at 06:26 p.m. (PST) on Monday, Nov 10, 2025
In-Office or Remote
2 Locations
163K-336K Annually
In-Office or Remote
2 Locations
163K-336K Annually

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About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible.

The Content Understanding Signals team at Pinterest is seeking a Staff Product Manager to define, execute, and champion the multi-year strategy for building advanced content understanding signals. You will lead product innovation at the intersection of machine learning and user experience—developing the core relevance and quality signals that drive personalization, discovery, shopping, and business outcomes across Pinterest. Join the team powering the intelligence behind every experience on Pinterest, enabling millions to turn inspiration into action.


What you’ll do:

  • Developing, aligning the organization around, and driving the strategy and roadmap for Content Understanding Signals, ensuring the roadmap is ambitious, principled, and closely aligned with company priorities.
  • 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. Nurture a culture of transparency, data-driven decision-making, and continuous learning within the team.
  • 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.

What we’re looking for:

  • Demonstrated success in product management or related experience at fast-growing companies.
  • Previous successful experience partnering with machine learning engineering teams.
  • Experience working with recommendations or understanding teams is a plus.
  • Proven ability to lead in ambiguous environments, aligning across functions, teams, and orgs to deliver on time in a highly collaborative environment.
  • 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.
  • Bachelor’s degree in a relevant field such as Computer Science, or equivalent experience.

Relocation Statement:

  • This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

In-Office Requirement Statement:
  • We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
  • 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.

#LI-REMOTE
#LI-REX

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

US based applicants only
$163,064$335,720 USD

Our Commitment to Inclusion:

Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.
 

Pinterest Seattle, Washington, USA Office

1730 Minor Ave, Seattle, Washington, United States, 98101

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

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  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute

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