Quick summary
- Work type
- Remote
- Location
- San Francisco, CA
- Salary
- $177,185–$364,795 / yr
- Posted
- 15 days ago
- Nearby
- 99+ roles within 25 mi
Market check
Salary context
How this pay compares to similar roles
This role pays more than 92% of similar roles. Most pay $181,725–$232,000 — the shaded band above. At the midpoint, this role pays about $271k versus about $207k 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 41 open roles on FindRole.
Listed pay typically runs $177,185–$339,078 across 41 roles with salary data.
Most-posted roles
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- Machine Learning Engineer II, Computer Vision Applied Science 1
- Manager II, Machine Learning-Search 1
At a glance
TL;DR · Staff Software Engineer- Growth Performance Marketing
Join Pinterest's performance marketing engineering team as a senior engineer responsible for designing and scaling systems that convert marketing spend into user growth. You will lead the technical roadmap, drive hands-on development of ad platform integrations, event pipelines, and production systems, and evolve privacy-resilient measurement stacks. Your day-to-day involves automating bidding strategies, collaborating with cross-functional teams to optimize campaign performance, and mentoring engineers while maintaining system reliability. Ideal candidates have 7+ years of experience in backend engineering for performance marketing, deep knowledge of paid media platforms like Google Ads and Meta, and expertise in attribution methodologies and mobile measurement partners. Proficiency in Python or Java/Scala, SQL, and modern big data ecosystems is essential, along with strong systems design skills and familiarity with ML infrastructure.
Skills
What you'll do
- Lead the technical roadmap for performance marketing systems across attribution and bidding.
- Drive hands-on engineering in ad platform integrations and event pipelines for marketing spend.
- Design and evolve privacy-resilient measurement stack for attribution models and incrementality methodology.
- Develop automated bidding strategies and campaign experimentation at scale to optimize performance.
- Ensure system reliability and operational health for critical spending systems with financial impact.
- Mentor engineers, establish technical best practices, and raise the bar on system design.
What we're looking for
- 7+ years of hands-on experience building and shipping backend systems for performance marketing.
- Deep understanding of paid media platforms (Google Ads, Meta, TikTok) and their APIs at scale.
- Expertise in attribution methodologies, incrementality testing, and conversion optimization with mobile measurement partners.
- Experience designing near real-time bidding, budget optimization, and event delivery systems.
- Proficiency in building data pipelines using Python/Java/Scala and SQL; familiarity with big data ecosystems preferred.
- Strong skills in distributed systems, event-driven architectures, and service-oriented backends.
- Ability to use AI to accelerate workflow while maintaining high standards for verification and data integrity.
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