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Engineering Manager, Preparedness

Hybrid

Part remote, part office, you need to live within commuting distance of a named location.

Hybrid · San Francisco

Employer listed it 7 days ago · Added 6 days ago

First listed 7 days ago and still open.

Salary

$445k to $510k per year

Location

Hybrid · San Francisco

Timezone

Not stated

Contract

Full-time

Experience

Mid

Category

Software

Published by the employer

What the advert says

Quoted word for word from the employer's advert. Where it says nothing, we say so.

Working hours
Not mentioned in the advert
Where you can work from
This role is based in San Francisco, CA.
Contract
Not mentioned in the advert
Experience asked for
Not mentioned in the advert
Pay
Not mentioned in the advert

Remote flexibility

Hybrid

This role is only partly remote, the employer expects time in the office around San Francisco, Hybrid, so you need to live within commuting distance.

What the employer says

  • Source listing states candidate location: "San Francisco, Hybrid"
  • Listing mentions "Hybrid"

What Nomaders makes of it

  • Not suitable if you plan to move between countries

The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.

Before you apply

Experience: employer states

Written as a requirement

  • “AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.”

Written as a nice-to-have

  • “Background in autonomy, high-scale real-time systems, or intelligence-adjacent technical domains is a plus.”

Questions worth asking: Nomaders interpretation

  • This role involves office time, but the advert does not say how often. Ask how many days a week are expected on site.
  • The advert does not say whether this is employment or a contractor arrangement. Ask, as it affects tax and benefits.

Produced automatically from this advert's text; not reviewed by a person. The employer's own page is the final word.

About the 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.

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 reduce risk or abuse at scale.

Background in autonomy, high-scale real-time systems, or intelligence-adjacent technical domains is a plus.

About OpenAI

Requirements

The employer hasn't listed requirements separately, they're described in the role summary above and on the original listing.

Benefits

No benefits package published with this listing. Ask about it at first interview.

How to apply

  1. 1Check the flexibility label above, hybrid, matches where you plan to live and work.
  2. 2Tailor your CV to the role at OpenAI, mentioning your remote working experience.
  3. 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.

Found 7d ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.

Listing sourced from Company boards.

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