Lead the technical direction for Pinterest’s advertiser measurement and signal-quality ecosystem in a hybrid work environment.
Posted by employer 3 days ago
First seen on Joblaze 2 days ago
Last verified on the company career page 16 hours ago
Skills & Technologies
What you'll build
- Define technical strategy and investment priorities
- Lead managers and senior technical leaders
- Translate advertiser and business problems into scalable solutions
- Create mechanisms for cross-team design reviews
- Communicate strategy and outcomes to executives
Must have
- Strong background in ads measurement
- Experience leading an engineering organization
- Demonstrated ability to define and execute technical strategy
- Experience operating systems with demanding scale
- Bachelor’s degree in a relevant field
Nice to have
- Experience leading through major privacy changes
- Ads optimization or privacy-enhancing technologies
- Probabilistic matching or graph systems
- Experience applying AI to developer productivity
AI in the day-to-day
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Requirements
- Education
- Bachelor's degree
- Visa
- No sponsorship (stated in posting)
Not disclosed in this posting: years of experience.
Benefits
Joblaze summary
The Director of Machine Learning Engineering for Ads Measurement at Pinterest is responsible for setting the technical strategy and leading teams focused on advertiser measurement and data quality. This role requires expertise in machine learning, large-scale data processing, and a strong background in ads measurement, along with the ability to communicate effectively with cross-functional teams. It is suited for a senior leader with a proven track record in managing engineering organizations and driving complex technical initiatives. The position emphasizes collaboration across various departments to deliver scalable solutions that meet business needs.
Joblaze insights
- Listed 2 days ago — first seen on Joblaze October 1, 2026. Last confirmed on Pinterest's careers page October 3, 2026.
- Salary band is above the typical range for AI/ML roles (median ~$190,000).
- Starts above 100% of 12 comparable director ai/ml roles we track (median $243,400 across 7 companies).
Quick facts
- Is the Director, Machine Learning Engineering, Ads Measurement role remote?
- It's hybrid — Pinterest expects some on-site time in San Francisco, CA, US; Palo Alto, CA, US; Seattle, WA, US.
- What's the salary range?
- Pinterest lists $314,580–$550,515 for this role.
- Where is the role based?
- Pinterest is hiring for this position in San Francisco, CA, US; Palo Alto, CA, US; Seattle, WA, US.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Data Engineering, Data Science, Machine Learning.
- What seniority level is this role?
- Pinterest targets director candidates for this position.
- Is this full-time or contract?
- Full-time for this Director, Machine Learning Engineering, Ads Measurement role at Pinterest.
From the original posting
About Pinterest:
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.
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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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.
Our Commitment to Inclusion:
Standard company text repeated across Pinterest's postings is omitted here.