Engineering Manager, Inference Developer Productivity

We require at least a Bachelor's degree in a related field or equivalent experience.

Location-based hybrid policy:

Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Annual Salary:

$405,000

—

$485,000 USD

Logistics

Anthropic's Inference organization is responsible for serving Claude to millions of users and enterprise customers with the speed, reliability, and efficiency that frontier AI demands. As we scale across multiple accelerator platforms—GPUs, TPUs, and Trainium—the complexity of our development environment grows in lockstep. We're looking for an Engineering Manager to build and lead a new team focused on developer productivity within Inference: making every engineer in the org dramatically more effective at building, testing, and shipping inference software.

This is a leadership role at the intersection of infrastructure and developer experience. You'll own the toolchains, workflows, and feedback loops that Inference engineers depend on every day. Your work will establish priorities to keep our engineering velocity high and driving investments to keep the larger org productive. You'll partner closely with Anthropic's central Infrastructure organization (where company-wide developer productivity efforts live) while ensuring the Inference org's unique needs are met.

This role is ideal for someone who gets deep satisfaction from unblocking other engineers, who thinks in terms of systems and feedback loops, and who can lead a team that operates at the seam between ML infrastructure and software engineering productivity.

Build and lead a high-performing team

focused on developer productivity for the Inference organization, hiring engineers who combine infrastructure expertise with a service-oriented mindset

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.