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Staff / Senior Staff Backend Engineer, B2B Flywheel

Job Overview

Location

San Francisco

Job Type

Full-time

Category

Backend Engineer

Date Posted

May 16, 2026

Full Job Description

đź“‹ Description

  • • Design, build, and operate high-scale backend systems that capture, process, and translate real-time product, usage, and customer signals from B2B and API surfaces to improve OpenAI’s models and enterprise experiences
  • • Develop reliable data pipelines and infrastructure for processing event streams, telemetry, and logging systems under strict privacy and data-handling constraints in production environments
  • • Engineer low-latency services that support high-traffic API endpoints used by businesses and developers interacting with OpenAI’s models, ensuring reliability and performance under scale
  • • Collaborate closely with data science, research, product, and infrastructure teams to identify user pain points, measure system behavior, and define metrics that drive product and model improvements
  • • Build and maintain systems that enable feedback loops for model and product iteration, including signal capture mechanisms, evaluation datasets, classifiers, and analytical tooling
  • • Operate with broad ownership across a small, high-leverage team, transitioning between backend engineering, data infrastructure, and applied research-adjacent problems as priorities shift
  • • Work in ambiguous, fast-moving environments where problems are loosely defined and ownership boundaries are broad, requiring proactive problem identification and solution delivery
  • • Implement production-grade systems with strict compliance requirements around data privacy, security, and access control, ensuring alignment with enterprise-grade data governance standards
  • • Partner with research and data science teams to translate raw behavioral signals into training datasets, model evaluation frameworks, and actionable insights for product development
  • • Contribute to system architecture decisions involving distributed systems, event-driven architectures, data modeling, and scalability optimizations for global B2B usage patterns
  • • Maintain and improve existing telemetry and logging infrastructure to ensure comprehensive visibility into system performance, customer interactions, and model usage trends
  • • Rapidly prototype and iterate on systems that support real-time analytics and model feedback loops, balancing speed of delivery with long-term maintainability and scalability
  • • Advocate for robust engineering practices including observability, automated testing, incident response, and documentation within a team that values high execution velocity and ownership
  • • Ensure systems are designed to support iterative product improvements by capturing granular, anonymized, and legally compliant usage signals from enterprise customers

🎯 Requirements

  • • 7+ years of professional backend engineering experience in high-scale, product-driven, or infrastructure-heavy environments
  • • Strong backend engineering fundamentals including distributed systems, API services, data modeling, reliability, performance, and production operations
  • • Experience building or maintaining data pipelines, event systems, logging/telemetry infrastructure, or large-scale data processing systems
  • • Comfort working near data science, statistics, ML, or research engineering workflows; direct experience strongly preferred
  • • Ability to operate effectively in ambiguous environments where problems are loosely defined and ownership boundaries are broad
  • • High agency, strong execution velocity, and willingness to wear multiple hats across backend engineering, data infrastructure, and applied research-adjacent work

🏖️ Benefits

  • • Compensation range of $293K - $385K USD
  • • Opportunity to work at the intersection of cutting-edge AI research and enterprise product development
  • • Collaborative environment with cross-functional teams including data science, research, product, and engineering
  • • High-ownership role in a small, high-leverage team shaping the infrastructure behind OpenAI’s B2B flywheel
  • • Access to OpenAI’s mission-driven culture focused on ensuring AI benefits all of humanity
  • • Compliance with San Francisco Fair Chance Ordinance, Los Angeles County Fair Chance Ordinance, and California Fair Chance Act for qualified applicants

Skills & Technologies

Backend
Senior
Onsite
$293k-385k

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About OpenAI, Inc.

OpenAI is a San Francisco-based artificial intelligence research and deployment company founded in 2015. It develops large-scale AI models such as GPT, DALL-E, and Codex, providing cloud APIs and consumer applications like ChatGPT. Originally established as a non-profit, it later created a capped-profit subsidiary to attract capital while maintaining its mission to ensure artificial general intelligence benefits all of humanity.

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