Manager II, Machine Learning - Conversion Visibility

Pinterest

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Seattle, WASan Francisco, CA
Salary
$189,308–$389,753 / yr
Posted
7 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $228k
This role $290k
$159k most similar roles pay here $414k

This role pays more than 88% of similar roles. Most pay $195,000–$260,254 — the shaded band above. At the midpoint, this role pays about $290k versus about $228k for comparable roles.

Based on 240 similar postings.

Employer

About Pinterest

Pinterest is a visual discovery and inspiration platform where people find ideas for home, style, recipes, and more. It serves hundreds of millions of users worldwide through its image and video pinboard product.

Pinterest currently has 82 open roles on FindRole.

Listed pay typically runs $164,695–$337,990 across 82 roles with salary data.

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At a glance

TL;DR · Manager II, Machine Learning - Conversion Visibility

Manager II, Machine Learning – Conversion Visibility will lead a hybrid team of machine learning and backend software engineers within the Conversion Visibility Modeling team. The manager is responsible for the strategy, execution, and operational excellence of identity and conversion signal modeling systems, including user match prediction, conversion type/value prediction, and probabilistic attribution. This role involves building end-to-end solutions across modeling, serving, and data infrastructure to provide advertisers with privacy-aware performance visibility as signals fragment. The manager will establish engineering best practices for data quality, feature pipelines, model evaluation, and service reliability while collaborating with product managers and data scientists. Key technical areas include ads ranking, bidding, measurement, and reporting. Candidates should possess experience in large-scale ML systems, backend services, and the specific domains of conversion attribution and identity matching to solve complex problems within the ads ecosystem.

What you'll do

  • Hire, develop, and lead a hybrid team of ML and backend software engineers.
  • Lead the strategy and execution for identity and conversion signal modeling systems.
  • Translate business needs into technical strategies and roadmaps for high-impact outcomes.
  • Define interfaces, SLAs, and success metrics for integration into the broader ads ecosystem.
  • Establish engineering best practices for data quality, model evaluation, and service reliability.
  • Use AI tools to accelerate analysis and iteration on model architectures and ideas.
  • Set technical direction for ML systems supporting ranking, bidding, measurement, and reporting.

What we're looking for

  • Must have 7+ years of experience building and deploying large-scale ML systems in production.
  • Must have 2+ years of experience as an engineering manager or technical lead.
  • Bachelor's degree in Computer Science, Statistics, or a related technical field is required, or equivalent experience.
  • Must demonstrate proven technical leadership across both ML and software systems to set multi-quarter roadmaps.
  • Must possess excellent cross-functional communication skills to collaborate with product, data science, and infrastructure teams.
  • Experience in ads conversion attribution, identity matching, ranking, or measurement is preferred.
  • Applicants must be based in the United States.

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