Sr. Product Manager, Search Personalization

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 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.

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