Manager II, Machine Learning – Conversion Visibility

Zigsaw

Machine Learning Engineering Manager leading a hybrid team at Pinterest. Building identify and conversion visibility solutions while collaborating with cross-functional teams.

Posted 7/1/2026full-timeSeattle • Washington • 🇺🇸 United StatesSeniorLead💰 $189,308 - $389,753 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading hybrid teams of ML and backend engineers, with a strong focus on building and deploying large-scale ML systems. Proven ability to establish engineering best practices and collaborate effectively across cross-functional teams.

Highest-signal resume keywords

ML Systems DevelopmentEngineering ManagementCross-Functional CollaborationTechnical LeadershipAds Conversion Attribution

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningBackend DevelopmentModel ArchitectureData AnalysisStatistical AnalysisSoftware Engineering Best PracticesLarge-Scale System DeploymentIdentity MatchingAds RankingAds Measurement

Soft Skills

Cross-Functional CommunicationTeam LeadershipCollaboration

Certifications & Qualifications

Bachelor's Degree in Computer ScienceBachelor's Degree in Statistics

Industry Keywords

Identity Signal ModelingConversion Signal ModelingAds Measurement DomainsOperational Excellence

About the role

Key responsibilities & impact

Attract, hire, develop, and lead a hybrid team of ML engineers and backend software engineers.
Lead a team responsible for the strategy, execution, and operational excellence of identity and conversion signal modeling systems.
Partner closely with product managers, data scientists, and tech leads to shape problem definitions.
Collaborate closely with Ads Ranking & Bidding, Measurement Products, and Conversion Ingestion & Attribution teams.
Establish engineering best practices across both ML and backend development.
Use AI to accelerate analysis and iteration on model ideas and architectures.

Requirements

What you’ll need

7+ years of experience building and deploying large-scale ML systems in production.
2+ years of experience as an engineering manager or technical lead.
Bachelors 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.
Proven technical leadership across both ML and software systems.
Excellent cross-functional communication and collaboration skills.

Benefits

Comp & perks

This position is not eligible for relocation assistance.
Visit our PinFlex page to learn more about our working model.