OpenAI

AI research and deployment

Staff/SeniorStaffBackendSoftwareEngineer,WorkspaceAgents

$230–385k San Francisco, California, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Staff / Senior Staff Backend Software Engineer, Workspace Agents at OpenAI. Skills: backend engineering, distributed systems, enterprise product. Design, build, and operate backend systems. power Workspace Agents”

What You'll Achieve.

scale them for use across businesses; make agents configurable; make agents reliable; make agents production-ready; agents more reliable; agents configurable; agents extensible; agents effective; connect agentic experiences to enterprise context; workflows; tools; maintain product quality; maintain operational trust; shape the technical direction; drive meaningful end-to-end outcomes; organizations adopt and benefit from frontier model capabilities

Industry & Context.

AI research and deployment

What They're Looking For.

Must Have

7+ years of professional backend engineering experience, Proficient in one or more backend languages (e.g., Python, Go, Rust, or similar), distributed systems concepts, backend engineering fundamentals, distributed systems, service architecture, APIs, data modeling, reliability, performance, production operations, Experience building scalable product systems, complex workflows, multi-user environments, enterprise customers, operating in ambiguous, fast-moving settings, pragmatic tradeoffs, balance near-term product iteration with long-term system quality, High agency, execution velocity, work across boundaries

Nice to Have

product-driven environments, infrastructure-heavy environments, enterprise-oriented environments, enterprise software, workflow automation, platform products, integrations, trust-sensitive systems, AI agents, workplace productivity, frontier model capabilities

What You'll Do.

and operate backend systems

power Workspace Agents

support adoption across organizations

Develop core infrastructure

connect agentic experiences

maintaining product quality

Work across technical challenges

enterprise integrations

workspace-scale systems

Help shape the technical direction

Operate with high ownership

How You'll Work.

Team & Collaboration

Partner closely with product, design, research, and engineering stakeholders; work across boundaries as the team defines and scales a new product area

Full Job Description

ABOUT THE TEAM The Workspace Agents team builds the product and platform foundations that bring powerful, reliable agents into ChatGPT workspaces. The team recently launched Workspace Agents in ChatGPT, enabling organizations to create agents tailored to their workflows and make them available directly within ChatGPT for employees to use across day-to-day work. Our work sits at the intersection of agentic product development, enterprise workflows, and backend infrastructure. We build the systems that help agents operate effectively in real business environments — grounding them in organizational context, connecting them to workplace tools and processes, and making them scalable, trustworthy, and useful across entire companies. The team partners closely across product, design, research, and engineering to turn rapidly evolving model capabilities into durable enterprise experiences. We move quickly, stay close to customer needs, and take broad ownership of an emerging product area that will shape how organizations use AI agents at work. April 2026 launch: Introducing workspace agents in ChatGPT https://openai.com/index/introducing-workspace-agents-in-chatgpt/ ABOUT THE ROLE We’re looking for backend engineers to help build the systems behind Workspace Agents and scale them for use across businesses. This role is ideal for someone who enjoys working on product-critical backend infrastructure in an ambiguous, fast-moving environment where both the technical architecture and customer experience are still evolving. You’ll help design and build the backend foundations that make agents configurable, reliable, and production-ready within enterprise workspaces. Strong candidates will bring deep backend engineering ability, strong product judgment, and the versatility to work across distributed systems, agent platform primitives, and enterprise product requirements. In this role, you will: - Design, build, and operate backend systems that power Workspace Agents in ChatGPT and

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