Senior Product Manager, AI/ML Personalization
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Job Description
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.
Pinterest is where people come for inspiration, not distraction – an active intent platform uniquely positioned at the intersection of search, social, and commerce. Our commitment to personalized discovery and actionable curation helps hundreds of millions around the globe turn inspiration into reality. Here, Personalization is essential to who we are and what we do.
We’re looking for a passionate and strategic AI/ML Product Manager to drive the future of personalized experiences on Pinterest. As part of our Personalization team, you’ll work across Engineering, Data Science, and Design to deliver industry-leading AI and ML solutions—helping users easily discover inspiration, curate what they love, and shop for what brings their ideas to life. You’ll ship impactful products on high-traffic Pinterest surfaces, including Home, Search, and Related Pins, and play a key role in Pinterest’s top strategic theme for the years ahead.
What You’ll Do as a Senior Product Manager, AI/ML Personalization
- Define, design, and launch thoughtful AI/ML-powered experiences that help users discover, curate, and shop ideas tailored to their unique taste.
- Partner cross-functionally with Engineering, Design, and Data Science to craft seamless and delightful experiences at the intersection of user experience, ML, and AI.
- Set product vision, influence strategy, write requirements, develop hypotheses, and establish success metrics for critical personalization initiatives.
- Identify and prioritize new opportunities to advance the relevance, impact, and sophistication of personalization across Pinterest’s Curation portfolio.
- Autonomously navigate and resolve complex, ambiguous product challenges—and influence product strategy across multiple teams.
What We’re Looking For
- Track record in AI/ML products: Experience building and launching personalized experiences, ideally at scale, for consumer products (e-commerce a plus).
- Technical fluency: Strong understanding of AI/ML product development; ability to credibly partner with engineers and data scientists across the stack.
- Sharp communication: Comfortable presenting to executives and cross-functional audiences; excels at simplifying complex technical and product concepts.
- Strategic and customer-centric: Deep empathy for user needs, with an ability to turn rich data and insights into new opportunities and delightful features.
- Collaborative influencer: Ability to build trusted relationships with a variety of internal partners (including Advanced Technology, Growth, Trust & Safety, Monetization, and more) and align them to shared goals.
- Ownership mindset: Skilled at defining what success looks like, rallying teams, and guiding projects from ideation to successful launch.
- Bachelor’s degree in a relevant field such as Computer Science, or equivalent experience.
Key skills/competency
- AI/ML Product Management
- Personalization Strategy
- Cross-functional Collaboration
- Product Vision & Roadmapping
- User Experience (UX)
- Data-driven Decision Making
- E-commerce (plus)
- Machine Learning Solutions
- Stakeholder Management
- Technical Fluency (AI/ML)
How to Get Hired at Pinterest
- Research Pinterest's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Tailor your resume: Highlight AI/ML product experience, personalization impact, and cross-functional leadership relevant to Pinterest.
- Showcase technical fluency: Emphasize your understanding of AI/ML development, working with engineers/data scientists.
- Prepare for strategic questions: Be ready to discuss product vision, strategy, and problem-solving for complex challenges.
- Demonstrate customer centricity: Articulate how you translate user needs and data into delightful product features.
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