Jobrow
Saved 0Closed

Index / OpenAI

Engineering Manager, Preparedness

OpenAI

Engineering Manager, Preparedness is a still-open role at OpenAI on Jobrow. Location: Hybrid · San Francisco · California · United States. Listed pay: $445k–$510k. Sourced from the company's public Ashby board. First seen 12 days ago; last confirmed 9 days ago. Apply on the employer ATS — Jobrow is not the employer.

Pay
$445k–$510k
Workplace
Hybrid
Location
San Francisco · California · United States
First seen
12 days ago
Last seen
9 days ago
Board
Ashby
Apply

About this role

About the Team The Preparedness Engineering team is responsible for building and operating safeguards for frontier model risks, to safely enable advanced capabilities while detecting and limiting harm.

  • Function: Engineering
  • Seniority: manager

Location & pay

Hybrid · San Francisco · California · United States Listed pay on Jobrow: $445k–$510k.

Source

Jobrow reads the public Ashby board for OpenAI. First seen 12 days ago; last seen 9 days ago. We are not the employer — apply only on the company ATS.

Posting

About the Team The Preparedness Engineering team is responsible for building and operating safeguards for frontier model risks, to safely enable advanced capabilities while detecting and limiting harm. About the Role We’re looking for an engineering manager to lead a team building software systems that detect and prevent harmful misuse of frontier AI models—before incidents occur. This is a builder’s role: you’ll lead engineers shipping production services, detection pipelines, and mitigation mechanisms that protect frontier model integrity and reduce high-severity misuse risk. While this work intersects with frontier model development, security and risk, we’re explicitly seeking someone with a software engineering foundation who is comfortable building reliable systems that can operate at billions of users scale. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Lead a team of software engineers building detection + mitigation systems for frontier model harms. - Set the technical roadmap and execution strategy: prioritize, design, ship, iterate, measure impact. - Build production systems: services, pipelines, tooling, instrumentation, and automation that scale with frontier model usage. - Partner deeply with Research and Product to translate evolving model capabilities into concrete tests, signals, and mitigations that can be deployed at scale. - Drive strong engineering fundamentals: architecture, reliability, monitoring, performance, and operational excellence. - Hire and grow an exceptional team across backend, data systems, and applied ML engineering domains as needed. - Anticipate what breaks at scale as agentic workflows become more capable. You might thrive in this role if you: - Experience building systems in adversarial, fast-evolving environments - Thrive in high context environments - Are comfortable with ambiguity and novelty - Communicate clearly and build trust quickly with senior stakeholders—pragmatic, collaborative, and calm under scrutiny. - Significant experience leading engineering teams and delivering production systems end-to-end. - Strong technical judgment in system design, distributed systems, data pipelines, observability, and operational reliability. - Demonstrated ability to partner cross-functionally with Research/Product/Security to ship systems that materially reduc

Other open roles at OpenAI

All open roles at OpenAI