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Engineering Manager, Continuous Deployment and Change Safety

San Francisco Full-time ML Engineering Manager
Salary
USD 405000-485000/year
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Original posting on LinkedIn

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. Engineering Manager, Continuous Deployment and Change Safety About The Role Anthropic's services change constantly. Application code, infrastructure, and runtime configuration all move to production many times a day. Our Safe Change team builds the continuous-deployment and feature-flagging systems that make those changes safe and reliable. The continuous-deployment platform moves a change through staged promotion, runs health checks at each phase of deployment, and gives service owners the levers to respond the moment something regresses. We provide the tools to modify runtime behavior, roll out configuration safely, and test changes. This team provides the paved path that lets everyone at Anthropic ship frequently without trading away reliability or security. We're looking for an engineering manager to lead this team. The continuous-deployment platform is already widely adopted across Anthropic, and the mandate is expanding quickly: bringing configuration changes onto the same safe path as code, supporting additional deployment surfaces, building progressive rollouts, and establishing the golden path for safe deployments that every team across the company will rely on. You'll lead a team building infrastructure that nearly every other engineer at Anthropic depends on, and you'll partner closely with product, inference, security, and infrastructure teams to make deployment safety a standard property of the platform rather than something

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Apply on the original posting. Anthropic handles the hiring process.

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Who offers this ML Engineering Manager role in San Francisco?

The role is posted by Anthropic from LinkedIn. aiManagerJobs is a directory that collects, structures and links to the original source, it is not the employer. Hiring is handled by the company.

How much does this ML Engineering Manager role pay?

The salary stated in the posting is USD 405000-485000/year. It is indicative and worth confirming with Anthropic before applying.

What type of role is it?

This is a ml engineering manager position on a full-time basis in San Francisco. The exact schedule and conditions are in the original posting from the company.

How do I apply for this role in San Francisco?

Use the apply button to go to the original source (LinkedIn) and follow the company instructions. You can also create an alert and receive new San Francisco roles by email.

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