Staff Product Manager, Applied Science

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 isnt just a feature, its 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 .

Pinterest is where more than half a billion people come to find what they love and build a life around it That experience depends on deep understanding — understanding what a Pinner loves, what a Pin means, and how to surface the right content at the right moment

Across recommender systems, signals, and representation learning, the Applied Sciences team develops the next generation technologies that power personalized discovery across Pinterest.

We’re looking for Staff Product Managers to help shape the next chapter of Pinterest’s applied AI/ML platform. In these roles, you’ll bring together research ambition and product discipline to help define the future of personalized experiences at one of the world’s leading discovery platforms.

The roles

Applied Sciences at Pinterest spans core areas including representation learning, signals, and recommender systems This work includes embeddings, shared feature layers, unified models, ranking systems, and behavioral understanding that support retrieval, ranking, ads, and personalized experiences across Pinterest

These are scaled systems and infrastructure that teams across the company depend on, and every innovation compounds to our top line goals.

Pinterest’s work in this space is grounded in a few core principles: using historical user data to understand evolving preferences, developing models and systems that can support multiple tasks and surfaces, and maintaining infrastructure in a cost-conscious way to support sustainable scale across hundreds of millions of users.