Director, Machine Learning Engineering, Ads Measurement

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

• Strong background ads measurement, identity, signals and large-scale data processing.
• Experience leading an engineering organization through managers and senior technical leaders.
• Demonstrated ability to define and execute technical strategy across multiple teams.
• Experience operating systems with demanding scale, reliability, privacy, and data-quality requirements.
• Track record of improving organizational execution, developing leaders, and creating distributed ownership.
• Exceptional analytical thinking and ability to move from ambiguous business problems to measurable technical outcomes.
• Strong executive communication and cross-functional influence.
• Bachelor’s degree in a relevant field such as computer science, statistics, machine learning, or equivalent experience.
• Nice-to-have experience:
• Experience leading through major privacy, browser, platform, or signal-availability changes.
• Ads optimization, or privacy-enhancing technologies.
• Probabilistic matching, graph systems, anomaly detection, event-quality modeling, or confidence scoring.
• ML platforms, real-time or streaming systems, large-scale experimentation, and model governance.
• Experience applying AI or agentic systems to developer productivity, advertiser troubleshooting, or data-quality operations.

Relocation Statement

• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

In-Office Requirement Statement

• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.

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Pay and benefits

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

US based applicants only $314,580—$550,515 USD

Our Commitment to Inclusion

By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.