ML Engineering Manager – Identity & Conversion

Pinterest; United States; On-site; USD 189,308 - 389,753; Full time

Benefits offered by this job

Equity

Job summary

Pinterest is seeking a Machine Learning Engineering Manager for the Conversion Visibility Modeling team in the US. You will lead a hybrid team of ML engineers and backend software engineers to build end-to-end identity and conversion visibility systems across modeling, serving, and data infrastructure.

Work with product managers, data scientists, and tech leads to define problems, set direction for multi-quarter roadmaps, and deliver high-impact solutions that improve match precision,

Qualifications

• 7+ years of experience building and deploying large-scale ML systems in production.
• 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: meaningful hands-on experience or strong familiarity with ads conversion attribution, identity matching, ads ranking or ads measurement domains.

Responsibilities

• Attract, hire, develop, and lead a hybrid team of ML engineers and backend software engineers, fostering strong collaboration across modeling and infrastructure and building an inclusive, high-performing environment where the team can deliver end-to-end solutions.
• Lead a team responsible for the strategy, execution, and operational excellence of identity and conversion signal modeling systems that improve match precision/recall and downstream conversion quality across web and app surfaces.
• Partner closely with product managers, data scientists, and tech leads to shape problem definitions, translate business needs into technical strategy, and drive execution toward high-impact outcomes.
• Collaborate closely with Ads Ranking & Bidding, Measurement Products, and Conversion Ingestion & Attribution teams to define interfaces, SLAs, and success metrics that enable end-to-end identity and conversion visibility systems—including models, data pipelines, and serving surfaces—to integrate cleanly into the broader ads ecosystem.
• Establish engineering best practices across both ML and backend development, including data quality, feature and data pipelines, model evaluation, experimentation, service reliability, and operational excellence, so the team can build trustworthy ML-powered systems end to end.
• Use AI to accelerate analysis and iteration on model ideas and architectures, while applying strong judgment, testing, and verification to ensure correctness, reliability, and advertiser trust.

Skills

ML systems leadership

Engineering management

Cross-functional collaboration

Ads/measurement domain familiarity

Education

Bachelor's degree in CS/Stats or related field

Job description

Pinterest is seeking a Machine Learning Engineering Manager for the Conversion Visibility Modeling team in the US. You will lead a hybrid team of ML engineers and backend software engineers to build end-to-end identity and conversion visibility systems across modeling, serving, and data infrastructure.

Work with product managers, data scientists, and tech leads to define problems, set direction for multi-quarter roadmaps, and deliver high-impact solutions that improve match precision,