Staff Software Engineer, Conversion Data Privacy

Pinterest

Remote

Quick summary

Work type
Remote
Location
San Francisco, CA
Salary
$177,185–$364,795 / yr
Posted
16 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $186k
This role $271k
$119k most similar roles pay here $391k

This role pays more than 92% of similar roles. Most pay $153,513–$219,425 — the shaded band above. At the midpoint, this role pays about $271k versus about $186k 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 55 open roles on FindRole.

Listed pay typically runs $158,765–$320,320 across 55 roles with salary data.

Most-posted roles

View all roles at Pinterest

At a glance

TL;DR · Staff Software Engineer, Conversion Data Privacy

As a Staff Engineer on Pinterest’s Privacy & Conversion Data team, you will lead the technical direction and architecture for privacy-preserving conversion data systems, ensuring compliance with global regulations. Your day-to-day responsibilities include designing and evolving core privacy infrastructure, owning end-to-end de-identification pipelines for ads reporting, and building frameworks that simplify safe data usage for downstream teams. You’ll collaborate closely with Product, Data Science, Legal, and infrastructure teams to translate legal requirements into technical solutions while maintaining high utility for advertisers. Key skills required are strong proficiency in Java/Scala/Kotlin or Python, experience with large-scale data systems, and a background in privacy-preserving data systems, ads measurement, or analytics platforms. This role demands expertise in secure system design, data modeling, access control, and performance optimization, as well as the ability to mentor engineers and drive cross-team initiatives.

What you'll do

  • Lead technical strategy for conversion data privacy across access controls and de-identification.
  • Design and evolve core privacy infrastructure for controlled data environments and authorization.
  • Own end-to-end de-identification pipelines for ads reporting to ensure data utility.
  • Build frameworks and tooling to simplify safe, compliant use of conversion data by teams.
  • Drive operational excellence with SLAs, robust monitoring, and incident response processes.
  • Partner cross-functionally to translate legal requirements into technical designs and roadmaps.

What we're looking for

  • 8+ years of professional software engineering experience in large-scale data systems or distributed systems.
  • Strong proficiency in building and operating data pipelines using Java/Scala/Kotlin or Python, plus SQL.
  • Experience designing secure, reliable systems with expertise in data modeling, access control, and performance optimization.
  • Meaningful experience in privacy-preserving data systems, ads measurement/attribution, or large-scale analytics platforms.
  • Proven ability to drive cross-team technical initiatives from design through rollout, collaborating with product and non-engineering partners.
  • Strong communication and leadership skills, including mentoring engineers and raising engineering standards.

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