Staff Software Engineer, Ads Measurement Products

Remote

Quick summary

Work type: Remote
Location: San Francisco, CA
Salary: $177,185–$364,795 / yr
Posted: 14 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $215k

This role $271k

$151k most similar roles pay here $388k

This role pays more than 85% of similar roles. Most pay $173,725–$255,625 — the shaded band above. At the midpoint, this role pays about $271k versus about $215k 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 37 open roles on FindRole.

Listed pay typically runs $164,695–$332,012 across 37 roles with salary data.

Most-posted roles

View all roles at Pinterest

At a glance

TL;DR · Staff Software Engineer, Ads Measurement Products

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As a Staff Engineer on Pinterest’s Measurement Products team, you will lead the technical direction and architecture of the platform that measures advertisers' campaign impact. Your responsibilities include designing and implementing end-to-end data pipelines for study execution and results computation, ensuring reliability and operational excellence. You will work closely with Product and Data Science teams to translate measurement methodologies into production systems, build automated validation mechanisms, and define service level agreements (SLAs) for monitoring and anomaly detection. Additionally, you will mentor engineers and drive cross-functional collaboration. The role requires strong proficiency in Java/Scala/Kotlin or Python, experience with large-scale data pipelines, and a background in AdTech measurement products or experimentation platforms.

Skills

Python Java Scala Kotlin SQL AWS CI/CD Docker Kubernetes Terraform Prometheus Grafana Git Jenkins PostgreSQL BigQuery Maven Gradle

What you'll do

Own end-to-end architecture and delivery of features for lift measurement products.
Design and build large-scale data pipelines to power study setup and execution.
Drive AI enablement by building tooling and coaching engineers for sustained improvements.
Translate measurement methodology into production systems with Data Science partners.
Build automated mechanisms for data validation and continuous verification in pipelines.
Define SLAs, monitor anomalies, and lead root-cause analysis for pipeline issues.
Mentor engineers to drive strong technical execution and cross-functional collaboration.

What we're looking for

8+ years of professional software engineering experience with a focus on data-intensive systems.
Strong proficiency in building and operating large-scale data pipelines using Java/Scala/Kotlin or Python, plus SQL.
Experience designing reliable services and APIs with solid foundations in distributed systems, data modeling, and performance optimization.
Demonstrated ability to transform team’s engineering workflow using AI through tooling, enablement, and change leadership.
Experience in AdTech and measurement products such as conversion lift, brand lift, or adjacent experimentation/analytics platforms.
Working knowledge of experimentation fundamentals including randomization, holdouts, confounders, significance, and power.

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