# Software Engineer, Shop/Feed Ads **Company**: OpenAI **Location**: San Francisco **Work arrangement**: hybrid **Experience**: senior **Job type**: Full time **Salary**: $347K - $445K **Category**: Engineering **Industry**: Technology **Wikidata**: https://www.wikidata.org/wiki/Q124605186 **Apply**: https://jobs.ashbyhq.com/openai/4d7145cf-ef4e-4a39-b1ef-b58e4e5c06d2?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply **Canonical**: https://yubhub.co/jobs/job_1d649c00-424 ## Description ## Compensation The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The salary range for this role is $347K – $445K, with generous equity, performance-related bonus(es) for eligible employees, and the following benefits. Benefits include: - Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts - Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit) - 401(k) retirement plan with employer match - Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks) - Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees - 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time - Mental health and wellness support - Employer-paid basic life and disability coverage - Annual learning and development stipend to fuel your professional growth - Daily meals in our offices, and meal delivery credits as eligible - Relocation support for eligible employees - Additional taxable fringe benefits, such as charitable donation matching and wellness stipends ## About the team The Monetization team is a new cross-functional group spanning engineering, product, research, and design. We are building the foundational systems that will help OpenAI scale access to intelligence responsibly. Our mission is to create user-first, privacy-preserving monetization products,including next-generation ads experiences,that strengthen trust, expand economic opportunity, and support OpenAI’s long-term innovation. ## About the role We’re looking for an experienced Software Engineer to lead the design and development of the systems that turn advertiser feeds (e.g. retail feeds, travel feeds etc.) into relevant, reliably delivered ads. In this foundational role, you will build across the full ads lifecycle,from ingesting and organizing retailer or travel catalogs into efficient retrieval systems, supporting ranking models, and serving ads at scale. ## Responsibilities - Design and build pipelines that ingest, validate, normalize, and refresh merchant product feeds, keeping catalog information accurate and available for serving. - Develop scalable catalog storage and indexing systems that make large inventories searchable and reflect changes in product availability, pricing, and attributes. - Build search and retrieval systems that efficiently identify relevant, eligible products across merchant catalogs. - Partner with Ads ML to connect product retrieval with ranking models through dependable interfaces, features, and serving infrastructure. - Engineer low-latency, high-throughput ads delivery systems with strong reliability and correctness guarantees. - Design real-time event pipelines and distributed storage that support catalog freshness, serving decisions, and downstream feedback. - Build observability and quality controls to detect feed errors, stale inventory, indexing delays, and serving issues. - Define technical direction and drive complex projects from early prototypes through production deployment and operation. - Operate systems with high engineering rigor through testing, monitoring, privacy and security reviews, and strong operational practices. ## Requirements - Have extensive experience building and operating large-scale distributed systems, with direct ownership of product ads retrieval, ranking infrastructure, or delivery. - Understand merchant feeds and shopping systems, including how catalog quality, product availability, and freshness affect relevance and ads performance. - Have built systems for shopping or product ads at platforms such as Google Shopping, YouTube, Amazon, or a comparable environment. - Alternatively, have operated at Senior Staff-level scope or above, leading the architecture and delivery of large-scale catalogs, search and indexing platforms, ads serving, or related backend systems. - Have built low-latency, high-throughput services and data pipelines with demanding reliability and correctness requirements. - Can reason across ingestion, storage, indexing, retrieval, ranking, and serving, and make thoughtful tradeoffs between freshness, relevance, latency, and cost. - Are comfortable partnering with machine-learning teams to bring ranking models and signals into dependable production systems. - Can define technical direction in an ambiguous 0→1 environment and independently drive complex work across teams. - Communicate clearly and make technical decisions grounded in user value, merchant experience, and long-term system health. ## Skills ### Required - large-scale distributed systems - product ads retrieval - ranking infrastructure - delivery - merchant feeds - shopping systems - catalog storage - indexing systems - search and retrieval systems - ads delivery systems - real-time event pipelines - distributed storage ### Nice to have - Google Shopping - YouTube - Amazon - Senior Staff-level scope --- Source: [Apply at jobs.ashbyhq.com](https://jobs.ashbyhq.com/openai/4d7145cf-ef4e-4a39-b1ef-b58e4e5c06d2?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)