2 hours ago
Base Salary
$347k - $445k/yr
Responsibilities
- Design and build pipelines for ingesting, validating, normalizing, and refreshing merchant product feeds.
- Develop scalable catalog storage and indexing systems for large inventories and changing product data.
- Build search and retrieval systems to identify relevant and eligible products across merchant catalogs.
- Partner with Ads ML to integrate product retrieval with ranking models, 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 supporting catalog freshness, serving decisions, and downstream feedback.
- Build observability and quality controls for feed errors, stale inventory, indexing delays, and serving issues.
- Define technical direction and drive complex projects from early prototypes through production operation.
- Operate systems with rigorous testing, monitoring, privacy and security reviews, and operational practices.
Requirements
- Extensive experience building and operating large-scale distributed systems, with direct ownership of product ads retrieval, ranking infrastructure, or delivery.
- Understanding of merchant feeds and shopping systems, including catalog quality, availability, freshness, relevance, and ads performance.
- Experience building shopping or product ads systems at platforms such as Google Shopping, YouTube product ads, Amazon, or a comparable environment.
- Alternatively, Senior Staff-level scope or above leading large-scale catalogs, search and indexing platforms, ads serving, or related backend systems.
- Experience building low-latency, high-throughput services and data pipelines with demanding reliability and correctness requirements.
- Ability to reason across ingestion, storage, indexing, retrieval, ranking, and serving while balancing freshness, relevance, latency, and cost.
- Experience partnering with machine-learning teams to bring ranking models and signals into production systems.
- Ability to define technical direction in an ambiguous 0-to-1 environment and independently drive complex cross-team work.
- Clear communication and technical decisions grounded in user value, merchant experience, and long-term system health.
Benefits
- The role is based in San Francisco and Mountain View.
- Relocation assistance is offered to new employees.
Categories
BackendData Engineering
About OpenAI
OpenAI builds and deploys large-scale AI models and tools—including ChatGPT, GPT-4–class models, DALL·E, and Whisper—sold via APIs and enterprise subscriptions to developers and businesses. It monetizes through usage-based API pricing and ChatGPT Plus/Team/Enterprise, and also reaches customers via Microsoft’s Azure OpenAI Service. Founded in 2015 and headquartered in San Francisco, it operates as a private partnership.