Senior Manager, Machine Learning Engineering, Ads Measurement Products

Pinterest

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
San Francisco, CAPalo Alto, CASeattle, WA
Salary
$227,871–$469,147 / yr
Posted
3 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $241k
This role $349k
$151k most similar roles pay here $503k

This role pays more than 97% of similar roles. Most pay $210,750–$270,500 — the shaded band above. At the midpoint, this role pays about $349k versus about $241k 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 27 open roles on FindRole.

Listed pay typically runs $177,185–$339,078 across 27 roles with salary data.

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View all roles at Pinterest

At a glance

TL;DR · Senior Manager, Machine Learning Engineering, Ads Measurement Products

Sr. Manager, Machine Learning Engineering, Ads Measurement Products joins the Measurement Products team to lead a group of machine learning, backend, and data engineers. The role involves setting technical visions and multi-year strategies for scalable production systems that help advertisers quantify business impact through tools like incrementality solutions, anomaly detection, and automated insights. You will build and productionize complex offerings including conversion lift, brand lift, marketing mix modeling, multi-touch attribution, and clean-room-based measurement. Key responsibilities include mentoring engineering managers, fostering a culture of technical excellence, and integrating AI-assisted development tools into workflows. The role requires expertise in causal inference, probabilistic modeling, and experimentation to solve problems involving noisy or privacy-constrained data. You will collaborate across product, data science, and infrastructure teams to deliver robust measurement solutions within the broader advertising ecosystem.

What you'll do

  • Lead and grow a team of ML, backend, and data engineers building ads measurement products and platforms.
  • Establish the technical vision and multi-year engineering strategy for scalable, reliable, and trustworthy production systems.
  • Partner with cross-functional teams to develop and productionize causal inference and ad-effectiveness solutions.
  • Drive the development of scalable ML and data platforms supporting first- and third-party measurement products.
  • Influence the broader Ads Product and Engineering roadmap to improve the scale and usability of measurement offerings.
  • Hire, mentor, and grow engineering managers and technical leaders while fostering a culture of excellence.
  • Champion the use of AI-assisted development and LLM-powered tools to accelerate engineering and analysis workflows.

What we're looking for

  • 10+ years of industry experience building software, ML, or large-scale data systems.
  • 5+ years of experience managing engineering teams responsible for production systems.
  • Bachelor’s degree in computer science, a related field, or equivalent experience.
  • Experience with ads measurement, ad effectiveness, or incrementality including conversion lift, brand lift, and marketing mix modeling.
  • Strong understanding of experimentation, causal inference, probabilistic modeling, or measurement using noisy or privacy-constrained data.
  • Demonstrated ability to set technical vision, develop multi-year roadmaps, and drive scalable production systems.
  • Proven success partnering across Engineering, Product Management, Data Science, Infrastructure, and business teams.
  • Experience using AI coding assistants and LLM-powered tools to improve engineering and analytical workflows.

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