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Sr. Staff Technical Program Manager, GenAI

Pinterest
14 days ago
Full-time
Remote
Worldwide
Remote Product

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 is transforming software engineering for the AI-native era. We’re evolving how engineers build, review, validate, deploy, and operate software by combining best-in-class AI tooling with strong technical standards and scalable operating mechanisms. Our AI Native Software Engineering effort is focused first on making software engineering across Pinterest’s mono-repos, AI native while accelerating existing productivity investments.

 

What You’ll Do

  • Lead company-wide programs that improve developer productivity through AI-assisted coding, validation, code review, and deployment safety.
  • Drive the roadmap and operating model for AI-native engineering practices across Pinterest.
  • Partner with engineering, infrastructure, security, and product teams to standardize best practices for AI-assisted development workflows.
  • Define and operationalize scorecards, metrics, and guardrails across productivity, adoption, quality, reliability, and cost.
  • Navigate ambiguity, align senior stakeholders, and turn emerging opportunities into durable multi-quarter execution plans.
  • Communicate progress, risks, tradeoffs, and recommendations to senior technical and executive au