About the team

The Applied team safely brings OpenAI's technology to the world. We released ChatGPT; Plugins; DALL·E; and the APIs for GPT-4, GPT-3, embeddings, and fine-tuning. We also operate inference infrastructure at scale. There's a lot more on the immediate horizon.

Our customers build fast-growing businesses around our APIs, which power product features that were never before possible. ChatGPT is a prime example of what is currently possible. We simultaneously ensure that our powerful tools are used responsibly. Safe deployment is more important to us than unfettered growth.

The Fraud Engineering team works within our Applied Engineering organization identifying and responding to fraudsters on our platform. We are looking for an experienced engineering manager to help set clear direction for the future, architect and build our next-generation anti-fraud, and build a diverse and inclusive culture.

In this role, you will:

• Directly manage a multi-disciplinary team of engineers responsible for scaling fraud detection and remediation while balancing fraud loss, cost of implementation, and customer experience

• Design, build, and maintain infrastructure designed to protect us and end users from fraudulent account activity.

• Work closely with finance, security, product, research, and trust & safety operations to holistically combat fraudulent and abusive actors on our system

• Utilize GPT-4 and future models to more effectively combat fraud and abuse

• Assist with response to active incidents on the platform and build new tooling and infrastructure that address the fundamental problems.

You might thrive in this role if you:

• Have at least 5 years of professional software engineering experience

• Have at least 2 years of experience in fraud or spam analysis, investigation, and/or operations

• Can dive into our codebase, intuit how it works, and be able to have a strong intuition for suggestions that will lead us to a stronger engineering position.

• Very high emotional intelligence and deeply empathetic personality. A strong ability to read between the lines and genuinely connect with a diverse range of fellow colleagues

• A voracious and intrinsic desire to learn and fill in missing skills. An equally strong talent for sharing that information clearly and concisely with others

• Build tools to accelerate your own workflows, but only when off-the-shelf solutions would not do.

• Experience in Machine Learning techniques is a plus, but not required

Our tech stack

Our infrastructure is built on Terraform, Kubernetes, Azure, Python, Postgres, and Kafka. While we value experience with these technologies, we are primarily looking for engineers with strong technical skills and the ability to quickly pick up new tools and frameworks.

Compensation, Benefits and Perks

The annual salary range for this role is $200,000 – $370,000. Total compensation also includes generous equity and benefits.

• Medical, dental, and vision insurance for you and your family
• Mental health and wellness support
• 401(k) plan with 4% matching
• Unlimited time off and 18+ company holidays per year
• Paid parental leave (20 weeks) and family-planning support
• Annual learning & development stipend ($1,500 per year)

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.