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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # performance marketing software engineering engineer java python - **Company:** Pinterest - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $177,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Google AdWords, Artificial Intelligence, Big Data, Data Integrity, Data Warehousing, Software Design Documents, Distributed Systems, Python (Programming Language), SQL Databases, Real Time Systems, Reliability of Systems, Backend, Event Driven Architecture, Information Technology, Build Tools, Machine Learning Operations, Data Pipelines - **Published:** August 5, 2026 - **Apply:** https://www.workingnomads.com/job/go/1772705/ ## About the Role * 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 ## Description * 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, * We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role. * This role will need to be in the office for in-person collaboration 1-2 times every 6-months and therefore can be situated anywhere in the country. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Nest.js - TypeScript in the backend can also be clean](https://www.wearedevelopers.com/videos/1033-nest-js-typescript-in-the-backend-can-also-be-clean) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [The Best X (Twitter) Accounts for Developers](https://www.wearedevelopers.com/magazine/294-the-best-x-twitter-accounts-for-developers) - [Best Countries for Software Engineers](https://www.wearedevelopers.com/magazine/267-best-countries-for-software-engineers) - [The Prompt Engineer ✍️](https://www.wearedevelopers.com/magazine/216-the-prompt-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)