Software Engineer, Full Stack (Knowledge Innovation)

Details

The Knowledge Innovation team is scaling OpenAI with OpenAI. We are building an AI-powered knowledge system that evolves and learns as our products, systems, and customers evolve. We leverage state-of-the-art models, technologies, and products (some external, some still in the lab) to assist or completely automate robust operations supporting both internal and external customers. We support OpenAI customers and internal partners globally, powering systems from customer support to integrity to product insights. We are a self-contained multi-disciplinary team with a fast feedback loop with customers at scale. We iterate quickly and engineer for reliable long-term impact, focusing on simple primitives that apply world-class knowledge to many domains.

We build systems that demonstrate the leverage possible with well-designed AI-based implementations by working through internal use cases focused on customers (knowledge systems, automation systems, and automated agent systems) to prove impact and then scale.

About the Role

We are looking for Full Stack Engineers who are passionate about blending production-ready platform architecture with new technologies and paradigms. You will push the boundaries of OpenAI's newest technologies to enable interactions and automations that are functional and delightful. We value proactive, customer-centric engineers who can get foundational details right (data models, architecture, security) in service of enabling great products.

Responsibilities

• Own the end-to-end development lifecycle for new platform capabilities and integrations with other systems.
• Collaborate closely with engineers, data scientists, information systems architects, and internal customers to understand problems and implement effective solutions.
• Work with product and research teams to share relevant feedback and iterate on applying their latest models.

Requirements

(The posting describes expectations rather than a strict checklist; the following items summarize the skills and focus areas emphasized in the original posting.)

• Experience or strong interest in full stack engineering and building production-ready platforms.
• Ability to design and reason about data models and platform architecture.
• Attention to security and building systems with robust security considerations.
• Experience or willingness to integrate systems and build platform capabilities that enable internal and external customers.
• Comfort collaborating with cross-functional teams including data scientists and information systems architects.
• Familiarity with applying or iterating on machine learning / model-driven features, particularly using OpenAI technologies and models.

Benefits and Compensation

• Base salary range (posted): $255,000 - $405,000 per year. Offers include equity and may vary based on market location, knowledge, skills, and experience.
• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts.
• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit).
• 401(k) retirement plan with employer match.
• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks).
• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees.
• 13+ paid company holidays and multiple company office closures, plus paid sick or safe time as required by law.
• 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.
• Additional taxable fringe benefits (charitable donation matching, wellness stipends) may be provided.

Additional Notes

• OpenAI is an equal opportunity employer and provides reasonable accommodations to applicants with disabilities.
• Background checks will be administered in accordance with applicable law for applicants where applicable.