Director, Machine Learning Engineering, Ads Measurement

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.

We’re looking for a strategic and experienced engineering leader to define the technical direction for Pinterest’s advertiser measurement and signal-quality ecosystem. In this role, you’ll lead managers and senior technical leaders across Interfaces, Ingestion, User Match, and Conversion Quality, driving multi-year investments in machine learning, data platforms, experimentation, privacy, and production reliability. You’ll partner closely with Product, Data Science, Ads Quality, Infrastructure, Privacy, Legal and Sales to translate complex advertiser and business challenges into scalable solutions—and build an inclusive, high-performing organization equipped to deliver measurable impact at scale.

What you’ll do:

- Define technical strategy and investment priorities across Interfaces, Ingestion, User Match, and Conversion Quality.

- Lead managers and senior technical leaders through a portfolio of multi-year ML and data-platform investments.

- Partner with Product, Data Science, Ads Quality, Ads Infra, Core, Privacy, Legal, Sales, and Customer Operations.

- Translate advertiser and business problems into scalable ML, data, and platform solutions.

- Raise the bar for experimentation, causal measurement, model quality, reliability, privacy, and production operations.

- Create mechanisms for cross-team design reviews, shared metrics, dependency management, and launch governance.

- Communicate strategy, trade-offs, risks, and outcomes clearly to executives and cross-functional stakeholders.

- Recruit, retain, and develop a high-performing, inclusive organization.

What we’re looking for: