Description
Compensation
$293K – $385K • Offers Equity
The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.
- 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 paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)
- Mental health and wellness support
- Employer-paid basic life and disability coverage
- Annual learning and development stipend to fuel your professional growth
- Daily meals in our offices, and meal delivery credits as eligible
- Relocation support for eligible employees
- Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.
About the Team
OpenAI's API Platform turns frontier research into reliable capabilities that developers use to build transformative products and services for people around the world.
API Safety's goal is to ensure safe deployment of frontier models in the API. We design APIs and systems that help developers share usage context, understand safety events, and apply safeguards tailored to the risk profile of the applications they are building.
About the Role
We're looking for product-minded software engineers to join a team that is addressing emerging risks at the frontier of model development while building novel solutions for real-world AI deployment. The day-to-day work ranges from solving production challenges to designing new product experiences and safeguards.
Responsibilities
- Design and build dashboards and APIs for safety controls and customer-facing observability.
- Develop scalable systems that extend trusted safety capabilities to new use cases, customers, and deployment environments.
- Partner with Safety Research and Integrity to build safeguards that mitigate emerging risks.
- Be responsible for the availability, latency, and scalability of safeguards across high-volume API traffic.
- Own projects from technical design and implementation through launch and ongoing iteration, while raising the team’s engineering standards
Requirements
- 7+ years of professional experience, excluding internships, in backend, infrastructure, platform, or product engineering roles.
- A track record of designing, building, and operating production backend services, developer-facing APIs, or distributed systems.
- Strong software engineering and systems fundamentals, with experience leading technically complex projects from ambiguous ideas to production.
- Proficiency in one or more general-purpose backend languages, such as Python, Go, Rust, or TypeScript.
- Experience building reliable, scalable systems and reasoning about distributed architecture, concurrency, latency, observability, and operational tradeoffs.
- Product judgment and developer empathy, including an ability to turn complex model or infrastructure capabilities into clear, intuitive APIs.
- Clear communication and a collaborative approach to working with researchers, product managers, designers, infrastructure engineers, and customers.
- Experience with observability, abuse prevention, trust and safety, identity, security, privacy, compliance, or risk systems is a strong plus.
- Interest in helping frontier AI reach more developers and businesses responsibly.