OpenAI

AI Research and Deployment

Staff/SeniorStaffBackendEngineer,B2BFlywheel

$293–385k San Francisco, California, United States; New York City, New York, United States FULL TIME
The Brief

“Staff / Senior Staff Backend Engineer, B2B Flywheel at OpenAI. Skills: backend systems, data pipelines, applied ML/DS-adjacent problems, real-time engineering systems, high-scale API, B2B surfaces. Design, build, and operate backend systems that capture and process critical product, usage, and customer signals across B2B and API surfaces. Build reliable data pipelines and infrastructure that help translate raw signals into actionable insights, model evaluations, training datasets, and product im”

What You'll Achieve.

improve our products, models, and customer experiences over time; translate critical product and usage signals into better B2B experiences; translate raw signals into actionable insights, model evaluations, training datasets, and product improvements; improve product quality

Industry & Context.

AI Research and Deployment
Problems you'll solve

identify user pain points; measure system behavior

Eligibility Requirements

operate in highly constrained production environments, systems with strict privacy and data-handling requirements

What They're Looking For.

Must Have

7+ years of professional backend engineering experience, backend engineering fundamentals, including distributed systems, API services, data modeling, reliability, performance, and production operations, Ability to operate effectively in ambiguous environments where problems are loosely defined and ownership boundaries are broad, High agency, execution velocity, and a willingness to wear multiple hats across backend engineering, data infrastructure, and applied research-adjacent work

Nice to Have

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, Experience in fast-paced startups, early teams, or similarly high-ownership environments is a plus, Interest in AI systems, enterprise products, and building the infrastructure that helps improve products and models through real-world usage signals

What You'll Do.

and operate backend systems that capture and process critical product

and customer signals across B2B and API surfaces

Build reliable data pipelines and infrastructure that help translate raw signals into actionable insights

and product improvements

low-latency services in constrained environments

including systems with strict privacy and data-handling requirements

Help develop the system needed to support model and product feedback loops

including signal capture

and analytical tooling

Operate with high ownership in a small team where priorities may shift quickly and the work spans multiple engineering domains

How You'll Work.

Team & Collaboration

Collaborate closely with data science, research, product, and infrastructure partners to identify user pain points, measure system behavior, and improve product quality

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