Director, Machine Learning Engineering, Ads Measurement

• 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.

• 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. • 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.

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: • 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. • 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. #LI-HYBRID #LI-SM4 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: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal hist