Opportunity at
PinterestDirector, Machine Learning Engineering, Ads Measurement
Pinterest operates a visual discovery platform where millions of users find inspiration, plan projects, and explore creative ideas. The company seeks a Director, Machine Learning Engineering,…
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About This Role
Pinterest operates a visual discovery platform where millions of users find inspiration, plan projects, and explore creative ideas. The company seeks a Director, Machine Learning Engineering, Ads Measurement to work on-site in Seattle on a full-time basis. This leadership role directs technical strategy and multi-year investments across User Match, Ingestion, Interfaces, and Conversion Quality. The position suits a strategic engineering leader experienced in managing through managers and senior technical leaders…
Job Description
Pinterest operates a visual discovery platform where millions of users find inspiration, plan projects, and explore creative ideas. The company seeks a Director, Machine Learning Engineering, Ads Measurement to work on-site in Seattle on a full-time basis. This leadership role directs technical strategy and multi-year investments across User Match, Ingestion, Interfaces, and Conversion Quality. The position suits a strategic engineering leader experienced in managing through managers and senior technical leaders while coordinating across multiple cross-functional departments.
In this capacity, the selected candidate will shape the advertiser measurement and signal-quality ecosystem by addressing complex business challenges through scalable machine learning, data platforms, and privacy solutions. Responsibilities include defining investment priorities, elevating experimentation standards, overseeing model quality, and establishing governance frameworks for launches. The role requires partnering closely with Product, Data Science, Ads Quality, Infrastructure, Privacy, Legal, Sales, and Customer Operations teams to drive measurable impact at scale.
The position requires deep technical expertise in ads measurement, signal processing, identity systems, and large-scale data handling. Candidates must demonstrate the ability to operate systems that demand high reliability, rigorous privacy compliance, and strict data quality. Additionally, applicants should possess strong executive communication skills and a history of cultivating high-performing, inclusive engineering teams.
Responsibilities
- Determine technical strategy and investment priorities across Interfaces, Ingestion, User Match, and Conversion Quality
- Guide managers and senior technical leaders overseeing multi-year machine learning and data platform investments
- Collaborate with Product, Data Science, Ads Quality, Infrastructure, Privacy, Legal, Sales, and Customer Operations
- Convert business and advertiser challenges into scalable data, platform, and machine learning solutions
- Improve standards for experimentation, causal measurement, model quality, operational reliability, and privacy
- Build processes for cross-team design reviews, shared metrics, dependency management, and launch governance
- Report strategy, risks, trade-offs, and results to executives and cross-functional partners
- Hire, retain, and mentor a high-performing and inclusive engineering organization
Requirements
- Background in ads measurement, identity, signals, and large-scale data processing
- Experience leading an engineering organization via managers and senior technical leaders
- Demonstrated capability to create and execute technical strategy across multiple teams
- Experience managing systems with strict scale, reliability, privacy, and data-quality requirements
- History of enhancing organizational execution, developing leaders, and fostering distributed ownership
- Analytical thinking skills to transition from ambiguous business challenges to measurable technical results
- Executive communication abilities and cross-functional influence
Qualifications
- Bachelor degree in computer science, statistics, machine learning, or equivalent practical experience
- Experience leading through major privacy, browser, platform, or signal-availability changes
- Background in ads optimization or privacy-enhancing technologies
- Knowledge of probabilistic matching, graph systems, anomaly detection, event-quality modeling, or confidence scoring
- Experience with machine learning platforms, real-time streaming systems, large-scale experimentation, and model governance
- Experience applying artificial intelligence or agentic systems to developer productivity, advertiser troubleshooting, or data-quality operations
Core Skills
Benefits
- Eligible for equity
Frequently Asked Questions
What is the location and remote status for this role?
This position is located in Seattle and is on-site, though day-to-day office requirements can vary by organization and role needs.
What is the employment type?
This is a full-time position.
Does the posting specify a salary range?
Yes, the base salary range is between $314,580 and $550,515 USD, and the position is also eligible for equity.
Is relocation assistance provided?
No, this position is not eligible for relocation assistance.
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