Pinterest

Director, Machine Learning Engineering, Ads Measurement

Pinterest • $314K — $500K+*
Consumer Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Strong background in ads measurement and large-scale data processing.
  • Experience leading an engineering organization through managers and senior technical leaders.
  • Proven ability to define and execute technical strategy across multiple teams.
  • Strong understanding of systems with scale, reliability, and data-quality requirements.
  • Track record of enhancing organizational execution and developing leadership talent.
  • Exceptional analytical skills to translate ambiguous problems into measurable outcomes.
  • Effective executive communication and cross-functional influence.

Responsibilities

  • Define technical strategy and investment priorities for interfaces and data-quality improvements.
  • Lead teams through multi-year investments in machine learning and data platforms.
  • Collaborate with cross-functional partners from Product to Legal to address business challenges.
  • Translate complex advertiser needs into scalable data and ML solutions.
  • Enhance experimentation, measurement methodologies, and operational reliability.
  • Establish mechanisms for cross-team collaboration and governance.
  • Clearly communicate strategy, risks, and outcomes to executives and key stakeholders.

Benefits

  • Equitable and inclusive workplace culture.
  • Eligibility for company equity.
  • Flexible working model tailored to departmental needs.
Full Job Description
We9re looking for a strategic and experienced engineering leader to define the technical direction for Pinterest9s advertiser measurement and signal-quality ecosystem. In this role, you9ll 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. You9ll 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 you9ll do: b7 Define technical strategy and investment priorities across Interfaces, Ingestion, User Match, and Conversion Quality. b7 Lead managers and senior technical leaders through a portfolio of multi-year ML and data-platform investments. b7 Partner with Product, Data Science, Ads Quality, Ads Infra, Core, Privacy, Legal, Sales, and Customer Operations. b7 Translate advertiser and business problems into scalable ML, data, and platform solutions. b7 Raise the bar for experimentation, causal measurement, model quality, reliability, privacy, and production operations. b7 Create mechanisms for cross-team design reviews, shared metrics, dependency management, and launch governance. b7 Communicate strategy, trade-offs, risks, and outcomes clearly to executives and cross-functional stakeholders. b7 Recruit, retain, and develop a high-performing, inclusive organization. What we9re looking for: b7 Strong background ads measurement, identity, signals and large-scale data processing. b7 Experience leading an engineering organization through managers and senior technical leaders. b7 Demonstrated ability to define and execute technical strategy across multiple teams. b7 Experience operating systems with demanding scale, reliability, privacy, and data-quality requirements. b7 Track record of improving organizational execution, developing leaders, and creating distributed ownership. b7 Exceptional analytical thinking and ability to move from ambiguous business problems to measurable technical outcomes. b7 Strong executive communication and cross-functional influence. b7 Exceptional analytical thinking and ability to move from ambiguous business problems to measurable technical outcomes. b7 Strong executive communication and cross-functional influence. b7 Bachelor9s degree in a relevant field such as computer science, statistics, machine learning, or equivalent experience. b7 Nice-to-have experience: b7 Experience leading through major privacy, browser, platform, or signal-availability changes. b7 Ads optimization, or privacy-enhancing technologies. b7 Probabilistic matching, graph systems, anomaly detection, event-quality modeling, or confidence scoring. b7 ML platforms, real-time or streaming systems, large-scale experimentation, and model governance. b7 Experience applying AI or agentic systems to developer productivity, advertiser troubleshooting, or data-quality operations. Relocation Statement: b7 This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. In-Office Requirement Statement: b7 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

About Pinterest

Pinterest is a social media platform that allows users to discover and save ideas for recipes, home decor, fashion, and more. The company was founded in 2010 and is headquartered in San Francisco, California. Pinterest has over 400 million monthly active users and is available in over 30 languages. The company's mission is to help people discover and do what they love.
Learn more about Pinterest
Size
3,225 employees
Market Cap
$16 billion
Industry
Net Income
-$128.3 million
Founded
2009
5 Year Trend
+53.9%
Revenue
$1.6 billion
NASDAQ

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