Director, Machine Learning Engineering, Ads Measurement

We're looking for a strategic and experienced engineering leader to define the technical direction for Pinterest's advertiser measurement and signal-quality ecosystem.

You will 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.

Responsibilities:

• 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.

Requirements:

• Strong background in 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.

Salary: $314,580-$550,515 USD