Director, Machine Learning Engineering, Ads Measurement
About this role
Pinterest is building an advanced advertiser measurement and signal-quality ecosystem designed to help millions of people find creative ideas and plan for their lives. The engineering organization focuses on areas such as interfaces, ingestion, user match, and conversion quality to drive multi-year investments in machine learning, data platforms, experimentation, privacy, and production reliability.
As the director of machine learning engineering for ads measurement, the person in this role will define the technical direction and investment priorities for the ecosystem. Daily responsibilities involve leading managers and senior technical leaders while partnering closely with product, data science, ads quality, infrastructure, privacy, legal, and sales teams to translate complex business challenges into scalable solutions.
The ideal candidate brings a strong background in ads measurement, identity, signals, and large-scale data processing, coupled with a proven ability to scale and mentor inclusive engineering teams. This leader thrives in ambiguous environments, possesses exceptional analytical thinking, and communicates effectively with executive stakeholders to deliver measurable technical outcomes.
What you will 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 machine learning and data-platform investments.
- Partner with product, data science, ads quality, ads infrastructure, core, privacy, legal, sales, and customer operations teams.
- Translate advertiser and business problems into scalable machine learning, 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 you need
- Demonstrate a strong background in ads measurement, identity, signals, and large-scale data processing.
- Bring experience leading an engineering organization through managers and senior technical leaders.
- Possess a demonstrated ability to define and execute technical strategy across multiple teams.
- Have experience operating systems with demanding scale, reliability, privacy, and data-quality requirements.
- Show a track record of improving organizational execution, developing leaders, and creating distributed ownership.
- Exhibit exceptional analytical thinking and the ability to move from ambiguous business problems to measurable technical outcomes.
- Display strong executive communication and cross-functional influence.
- Hold a bachelor’s degree in a relevant field such as computer science, statistics, machine learning, or equivalent experience.
Nice to have
- 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
Benefits
- Equity eligibility
Skills and tech stack
Questions candidates ask
What is the remote or working policy for this role?
Pinterest utilizes a hybrid working model and applicants can visit the PinFlex page to learn more about the working model. In-office requirements recognize that the ideal environment is situational and may vary based on the needs of each organization or role.
What is the salary range for this position?
The base salary range for this US-based position is $314,580 to $550,515 USD. Final salary is determined by factors including location, travel, relevant prior experience, or particular skills and expertise, and the position is also eligible for equity.
What kind of background is required for the role?
Candidates need a strong background in ads measurement, identity, signals, and large-scale data processing. The role also requires experience leading an engineering organization through managers and senior technical leaders.
Is relocation assistance provided?
This position is not eligible for relocation assistance.