P

Pinterest

Runs an app for finding and saving visual ideas

Director – Machine Learning Engineering - Ads Measurement

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeHybrid

About the Job

Requirements

  • Strong background in 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.
  • Bachelor’s degree in a relevant field such as computer science, statistics, or machine learning, or equivalent experience.

Responsibilities

  • 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.
  • 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.

Desired Qualifications

  • Experience leading through major privacy, browser, platform, or signal-availability changes.
  • Experience with ads optimization or privacy-enhancing technologies.
  • Experience with probabilistic matching, graph systems, anomaly detection, event-quality modeling, or confidence scoring.
  • Experience with machine-learning platforms, real-time or streaming systems, large-scale experimentation, and model governance.
  • Experience applying artificial intelligence or agentic systems to developer productivity, advertiser troubleshooting, or data-quality operations.

About the Company

Pinterest

Runs an app for finding and saving visual ideas

Pinterest runs a visual search and discovery app where people look for ideas in areas like cooking, home decor, fashion, and travel, then save the images they like to themed collections called boards. In 2012 it became the fastest standalone website to reach 10 million monthly US visitors, according to measurement firm comScore. Each saved image, called a Pin, links back to its source, such as a recipe or a product page, and people search with words or with a photo to find similar ideas and things to buy. Brands pay to show ads among Pins in feeds and search results, and Pinterest also sells ads on streaming TV. It launched in 2010 and is based in San Francisco, California.

Company size
5,001-10,000
Company stage
IPO
Headquarters
San Francisco, CA
Founded
2010

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