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Sr. Product Manager, Search Personalization

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: Pinterest
Full Time position
Listed on 2026-08-12
Job specializations:
  • Business
    Data Analyst, Data Scientist, AI Business & Operations
  • IT/Tech
    Data Analyst, Data Scientist, Machine Learning/ ML Engineer, AI Business & Operations
Salary/Wage Range or Industry Benchmark: 140000 - 288000 USD Yearly USD 140000.00 288000.00 YEAR
Job Description & How to Apply Below

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.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

We are a leaned-in platform where users come with active intent, not a place to watch funny dance videos or doom scroll through news. As such, we are positioned to succeed in Shopping in a differentiated way. As a platform, we are uniquely positioned at the intersection of search, social and commerce. The full-funnel experience across homefeed, search, and related pins - combined with the ability to save, collaborate and curate - enables users to have dynamic, multi-session journeys and go seamlessly from inspiration to action.

These journeys are rarely linear and Pinterest enables statefulness better than any other platform - allowing users to stop and start, refine down, broaden out and come back to where they left off - seamlessly navigating between discover, decide and do.

What you’ll do
  • Develop and execute a cohesive Search Personalization strategy and roadmap in close partnership with, Product, Engineering, Design and other cross-functional stakeholders.
  • Incorporate innovative new Search Personalization features into our models that tap into the unique user intent on Pinterest. You’ll create products that help users find inspiration, browse products and ultimately find the item they want to buy.
  • Investigate and hypothesize opportunities to improve the relevance of search results on Pinterest.
  • Partner closely with a wide range of disciplines including engineering, data science, design, research, marketing, legal, strategy, and other product managers to define, measure, and drive execution.
What we’re looking for
  • Strong product sense: Strong product sense and ability to collaborate and get buy-in from stakeholders while setting a longer term vision.
  • Experience building AI/ML products: Demonstrated success in product management or related experience at fast-growing companies particularly working on AI/ML based products.
  • Bring structure to ambiguity: Proven ability to lead in ambiguous environments, aligning across functions, teams, and orgs to deliver on time in a highly collaborative environment.
  • Expert at weaving together data, user feedback, and intuition: Strong analytical skills to define product strategy and drive decision making, making appropriate trade-offs based on data analysis and qualitative feedback from Pinners.
  • Previous experience in search is a plus but not required.
  • Technical strength
    :
    You’ll partner closely with Engineering teams working with a wide variety of technologies, including Machine Learning.
  • 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 Pin Flex 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…
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