Anthropic

Engineering Manager, Inference

San Francisco, CA | New York City, NY | Seattle, WA

Found: June 17, 2026

About the role:

Anthropic’s performance and scaling teams focus on making the most efficient and impactful use of our compute resources, be it inference or training. As an Engineering Manager on these teams you will be responsible for ensuring you and your team are identifying and removing bottlenecks, building robust and durable solutions, and maximizing the efficiency of our systems. You also will help bring clarity, focus, and context to your teams in a fast paced, dynamic environment.

Responsibilities:

Provide front-line leadership of engineering efforts to improve model performance and scale our inference and training systems
Become familiar with the team’s technical stack enough to make targeted contributions as an individual contributor
Manage day-to-day execution of the team's work
Prioritize the team’s work and manage projects in a highly dynamic, fast paced environment
Coach and support your reports in understanding, and pursuing, their professional growth
Maintain a deep understanding of the team's technical work and its implications for AI safety

You may be a good fit if you:

Have 1+ years of management experience in a technical environment, particularly performance or distributed systems
Have a background in machine learning, AI, or a similar related technical field
Are deeply interested in the potential transformative effects of advanced AI systems and are committed to ensuring their safe development
Excel at building strong relationships with stakeholders at all levels
Are a quick learner, capable of understanding and contributing to discussions on complex technical topics
Have experience managing teams through periods of rapid growth and change
Are a quick study: this team sits at the intersection of a large number of different complex technical systems that you’ll need to understand (at a high level of abstraction) to be effective