Tech Stack
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.
AI @ 4
API @ 4
Agentic Systems @ 4
Go @ 4
Python @ 4
React @ 7
Rust @ 4
Security @ 4
TypeScript @ 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 Applied AI team is building persistent AI coworkers that can operate in their own environments, work across tools and channels, maintain context across tasks, and deliver reliable results in real workplace environments.
This role focuses on shaping how people discover, direct, and collaborate with AI coworkers. You will own product experiences end to end, spending roughly equal time building frontend surfaces and backend systems that support persistent, reliable, and useful agentic workflows.
Responsibilities
- Design, build, and ship full-stack product experiences that help people and teams delegate meaningful work to persistent AI coworkers.
- Create intuitive frontend interfaces for directing agents, reviewing their progress, understanding their actions, and collaborating on their work.
- Build backend APIs, services, and data models supporting persistent agent state, asynchronous execution, orchestration, and progress reporting.
- Develop workflows that help agents access relevant context, use tools, and collaborate with people across workplace surfaces and channels.
- Partner with product, design, research, and engineering teams to turn shared capabilities into cohesive products.
- Build trust into the product through clear user controls, understandable agent behavior, safe execution, and reliable operational foundations.
- Use customer feedback, product insight, and rapid iteration to identify high-value workflows and improve how AI coworkers deliver useful results.
Requirements
- 7+ years of professional full-stack or product engineering experience, ideally building user-facing products in product-driven or enterprise environments.
- A track record of shipping polished user-facing products and production backend systems with meaningful ownership across the full stack.
- Strong frontend skills with TypeScript, React, and modern web application development, including a thoughtful approach to interaction design and usability.
- Experience building backend services, APIs, data models, and production systems in Python, Go, Rust, TypeScript, or similar languages.
- Strong product judgment and comfort taking ambiguous customer problems from concept through implementation, launch, and iteration.
- Experience designing software for complex workflows, collaboration, enterprise users, developer tools, or other trust-sensitive product environments.
- Ability to reason about asynchronous work, stateful systems, reliability, performance, security, and the tradeoffs required to deliver a great user experience.
- Proven ability to work closely with product managers, designers, researchers, and engineers across multiple teams.
- High agency, strong execution, and enthusiasm for building new products in a fast-moving environment.
- Interest in AI agents and the future of work. Experience with agentic systems, enterprise software, or early-stage products is helpful but not required.
Benefits
- Medical, dental, and vision insurance for employees and their families, 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, medical leave, and caregiver leave.
- Paid time off, paid company holidays, office closures, and paid sick or safe time.
- Mental health and wellness support.
- Employer-paid basic life and disability coverage.
- Annual learning and development stipend.
- Daily office meals and eligible meal delivery credits.
- Relocation support for eligible employees.
- Additional benefits may include charitable donation matching and wellness stipends.
- Total compensation includes base salary, equity, and performance-related bonuses for eligible employees.
More jobs at OpenAI
People Systems Lead
OpenAI · San Francisco, United States
USD 239,000-295,000 per year
Technical Program Manager, AI Accelerator Software
OpenAI · San Francisco, United States
USD 302,000-445,000 per year
Technical Program Manager, Cloud AI Partnerships
OpenAI · San Francisco, United States
USD 257,000-445,000 per year
Senior Operations Analyst, User Safety & Risk Operations
OpenAI · San Francisco, United States
USD 252,000-280,000 per year
Data Scientist, Cybersecurity
OpenAI · United States, San Francisco, United States, New York City, United States
USD 263,000-515,000 per year
Similar jobs
Full Stack Software Engineer - Codex for Finance
OpenAI · San Francisco, United States
USD 293,000-325,000 per year
Staff+ Application Security Engineer - M&A
Anthropic · San Francisco, United States, New York City, United States, Seattle, United States
USD 320,000-485,000 per year
Staff+ Software Engineer, Platform
Anthropic · San Francisco, United States, New York City, United States, Seattle, United States
USD 405,000-485,000 per year
Member of Technical Staff (Software Engineer, Monetization)
Perplexity AI · San Francisco, United States, New York City, United States
USD 220,000-405,000 per year
Backend Software Engineer - Codex for Finance
OpenAI · San Francisco, United States
USD 293,000-325,000 per year
Principal Software Engineer, Enterprise Technology Vertical
OpenAI · San Francisco, United States
USD 441,000-500,000 per year
Software Engineer, API Enterprise Controls
OpenAI · San Francisco, United States
USD 293,000-385,000 per year
Software Engineer, Enterprise Verticals
OpenAI · San Francisco, United States
USD 293,000-325,000 per year