Staff / Senior Staff Backend Software Engineer, Workspace Agents
Used Tools & Technologies
Not specified
Required Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Go @ 6
Python @ 6
Distributed Systems @ 6
Rust @ 6
API @ 4
ChatGPT @ 4
AI @ 4
Data Modeling @ 7
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
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.
Responsibilities
- Design, build, and operate backend systems that power Workspace Agents in ChatGPT and support adoption across organizations.
- Develop core infrastructure that helps agents become more reliable, configurable, extensible, and effective in real workplace environments.
- Build systems that connect agentic experiences to enterprise context, workflows, and tools while maintaining strong product quality and operational trust.
- Work across technical challenges spanning agent orchestration, backend APIs, enterprise integrations, workspace-scale systems, and product foundations.
- Partner closely with product, design, research, and engineering stakeholders to translate fast-moving model and customer insights into scalable product capabilities.
- Help shape the technical direction of a high-priority, rapidly evolving product area at the center of OpenAI’s enterprise product strategy.
- Operate with high ownership in a small, execution-oriented team where priorities may shift quickly and engineers are expected to drive meaningful end-to-end outcomes.
Requirements
- 7+ years of professional backend engineering experience, ideally in product-driven, infrastructure-heavy, or enterprise-oriented environments.
- Proficient in one or more backend languages (examples given: Python, Go, Rust) and distributed systems concepts.
- Strong backend engineering fundamentals, including distributed systems, service architecture, APIs, data modeling, reliability, performance, and production operations.
- Experience building scalable product systems that serve complex workflows, multi-user environments, or enterprise customers.
- Comfort operating in ambiguous, fast-moving settings where requirements evolve quickly and technical ownership is broad.
- Ability to move quickly, make pragmatic tradeoffs, and balance near-term product iteration with long-term system quality.
- High agency, strong execution velocity, and a willingness to work across boundaries as the team defines and scales a new product area.
- Experience with enterprise software, workflow automation, platform products, integrations, or trust-sensitive systems is a plus.
- Interest in AI agents, workplace productivity, and building the backend systems that help organizations adopt and benefit from frontier model capabilities.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer and provide information about background checks and accommodation processes for applicants.
Benefits
- Medical, dental, and vision insurance with employer contributions to Health Savings Accounts.
- Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses.
- 401(k) retirement plan with employer match.
- Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents) and paid medical/caregiver leave.
- Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees; 13+ paid company holidays and company office closures.
- Mental health and wellness support; employer-paid basic life and disability coverage.
- Annual learning and development stipend; daily meals in offices and meal delivery credits as eligible.
- Relocation support for eligible employees.
- Total compensation includes base pay plus equity and performance-related bonus(es) for eligible employees.