Staff Technical Program Manager

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.

The Team:

Pinterest Technical Program Managers are proactive owners with technical expertise. They are aligned to the highest level company priorities to support successful delivery of programs within their teams.

The Platforms TPM organization partners with Agent Foundations, Machine Learning Platform, Core Infra, Security, Ads Agent Infra, Data Product, and Data Science to operationalize Pinterest's Agent Platform — the shared registry, harness, evaluation, observability, AAA, memory, and MCP infrastructure that every AI agent at Pinterest is built on.

What you'll do:

As a Staff Technical Program Manager for Agent Platforms, you will drive the program that takes Pinterest's Agent Platform from MVP to a fully productized, self-serve platform — partnering with engineering, security, and product stakeholders to make it simple, safe, and fast for any team to ship an AI agent.

• Own execution of the Agent Platform roadmap across Agent Foundations, Discovery & Governance, Quality/Trust/Privacy, Token Entitlements, and Adoption & Operations.