Lead / Manager

Pinterest is seeking a Manager II, Machine Learning to lead the Conversion Visibility Modeling team. This team enables a performant ads marketplace and helps prove value to advertisers by connecting Pinterest onsite activity with conversions that happen offsite (both digital and physical) in a privacy-preserving way. As an ML Engineering Manager, you will lead a hybrid team of ML engineers and backend software engineers to build end-to-end identity and conversion visibility solutions across modeling, serving, and data infrastructure.

• Attract, hire, develop, and lead a hybrid team of ML engineers and backend software engineers.
• Lead strategy, execution, and operational excellence for identity and conversion signal modeling systems (e.g., user match prediction, conversion type/value prediction, probabilistic attribution and deduplication).
• Partner with product managers, data scientists, and tech leads to shape problem definitions and drive execution.
• Collaborate with Ads Ranking & Bidding, Measurement Products, and Conversion Ingestion & Attribution teams to define interfaces, SLAs, and success metrics.
• Establish engineering best practices across ML and backend development, including data quality, feature and data pipelines, model evaluation, experimentation, service reliability, and operational excellence.
• Use AI to accelerate analysis and iteration on model ideas and architectures, while ensuring correctness and reliability.

• 7+ years of experience building and deploying large-scale ML systems in production (e.g., ads, measurement, recommendation, ranking, or search).
• 2+ years of experience as an engineering manager or technical lead.
• Bachelor's Degree in Computer Science, Statistics, or a related technical field, or equivalent experience.
• Nice to have: experience with ads conversion attribution, identity matching, ads ranking or ads measurement; technical leadership across ML and software systems; excellent cross-functional communication skills.

Base salary range: $189,308—$389,753 USD. The position is also eligible for equity. Final salary is based on factors including location, travel, relevant prior experience, or particular skills and expertise.

This role is hybrid, requiring in-office collaboration 1 day per week, and must be in commutable distance from Seattle or Bay Area offices. The role is not eligible for relocation assistance.

Apply through the Pinterest careers page for this job ID.