Director, Machine Learning Engineering, Ads Measurement

location_on San Francisco · Posted Oct 02, 2026
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per year (USD)
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Hiring Company Verified Engineering Hub
Original Source
Pinterest Greenhouse Board
No middleman fees
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About the Role

Millions of people around the world come to Pinterest 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. AI isn't just a feature here, it's a powerful partner that augments our creativity and amplifies our impact.

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.

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Key Technical Responsibilities

  • check_circle Define technical strategy and investment priorities across Interfaces, Ingestion, User Match, and Conversion Quality.
  • check_circle Lead managers and senior technical leaders through a portfolio of multi-year ML and data-platform investments.
  • check_circle Partner with Product, Data Science, Ads Quality, Ads Infra, Core, Privacy, Legal, Sales, and Customer Operations.
  • check_circle Translate advertiser and business problems into scalable ML, data, and platform solutions.
  • check_circle Raise the bar for experimentation, causal measurement, model quality, reliability, privacy, and production operations.
  • check_circle Create mechanisms for cross-team design reviews, shared metrics, dependency management, and launch governance.
  • check_circle Communicate strategy, trade-offs, risks, and outcomes clearly to executives and cross-functional stakeholders.
  • check_circle Recruit, retain, and develop a high-performing, inclusive organization.
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Prerequisites & Qualifications

  • check Strong background ads measurement, identity, signals and large-scale data processing.
  • check Experience leading an engineering organization through managers and senior technical leaders.
  • check Demonstrated ability to define and execute technical strategy across multiple teams.
  • check Experience operating systems with demanding scale, reliability, privacy, and data-quality requirements.
  • check Track record of improving organizational execution, developing leaders, and creating distributed ownership.
  • check Exceptional analytical thinking and ability to move from ambiguous business problems to measurable technical outcomes.
  • check Strong executive communication and cross-functional influence.
  • check Bachelor’s degree in a relevant field such as computer science, statistics, machine learning, or equivalent experience.
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About Pinterest Greenhouse Board

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Pinterest Greenhouse Board is a hiring entity associated with Pinterest, a visual discovery engine and technology company that helps users find inspiration for their lives. Operating in the technology and software sector with a presence in Los Angeles, CA, this recruitment channel facilitates the sourcing and onboarding of talent to support Pinterest's core platform development, engineering initiatives, and business operations.

Engineering Culture: As part of the broader Pinterest ecosystem, the organizational culture emphasizes creativity, inclusivity, and user-centric innovation. Pinterest is known for fostering a collaborative engineering and workplace environment aimed at building positive digital spaces, prioritizing mental health and well-being, and driving technological solutions that connect people with inspiring ideas.
Director, Machine Learning Engineering, Ads Measurement
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