Staff Software Engineer- Growth Performance Marketing

Pinterest is a platform that inspires creativity and helps users plan memorable experiences. They are seeking a Staff Software Engineer for their performance marketing engineering team, responsible for developing systems that optimize marketing spend and enhance user growth across various advertising platforms.

Responsibilities:

• Lead the technical roadmap for the performance marketing platform, defining the highest-impact investments across attribution, bidding, budget optimization, and campaign management
• Drive hands-on engineering across ad platform integrations, event pipelines, and production systems that deploy and measure marketing spend
• Design and evolve the measurement stack — attribution models, conversion signal collection, incrementality methodology, and privacy-resilient approaches as platform signals degrade
• Develop systems that automate and optimize bidding strategies and campaign experimentation at scale
• Drive cross-team technical initiatives with ads platform, data warehouse, and mobile teams — authoring design documents and building alignment across engineering orgs
• Own system reliability and operational health for spend-critical systems where downtime or bugs have direct financial impact
• Collaborate with marketing, data science, and product partners to identify growth opportunities and turn them into engineered solutions
• Mentor and develop engineers on the team, establishing technical best practices and raising the bar on system design
• Use AI to accelerate your own work—across exploration, drafting, analysis, and synthesis—while maintaining strong judgment, rigorous validation, and accountability for outcomes

Requirements:

• 7+ years of experience building and shipping backend systems, with hands-on experience supporting performance marketing
• Strong understanding of paid media platforms — Google Ads, Meta, TikTok, Snap, or similar — and the operational realities of integrating with their APIs at scale
• Deep understanding of attribution methodologies (last click, multi-touch, SKAN, probabilistic vs. deterministic), incrementality testing, and conversion optimization, with hands-on experience integrating mobile measurement partners (AppsFlyer, Adjust, Singular, or similar) across mobile clients and server-side APIs
• Experience with near real-time systems for bidding, budget optimization, and conversion event delivery — you understand the mechanics well enough to evolve existing systems and propose improvements
• Strong proficiency building and operating data pipelines and services using Python or Java/Scala, plus SQL; experience with modern big data ecosystems is a plus
• Strong systems design skills across distributed systems, event-driven architectures, and service-oriented backends
• Familiarity with ML infrastructure concepts and ability to build systems that support ML workloads
• Demonstrated ability to use AI to accelerate your workflow while maintaining high standards for verification, data integrity, and ownership of final outputs
• Bachelor's degree in a relevant field such as Computer Science, or equivalent experience