Engineering Manager • Lead

Who you are

You have 1+ years of management experience in a technical environment, particularly in performance or distributed systems — you understand the intricacies of managing teams that work on complex AI systems. Your background in machine learning equips you with the knowledge to contribute meaningfully to discussions about model performance and scaling.

You are adept at identifying and removing bottlenecks in engineering processes, ensuring that your team can work efficiently and effectively. Your leadership style emphasizes clarity and focus, helping your team navigate the fast-paced challenges of AI development. You are committed to fostering professional growth among your reports, guiding them in their career paths while maintaining a deep understanding of the technical work being done.

What you'll do

As an Engineering Manager at Anthropic, you will provide front-line leadership for engineering efforts aimed at improving model performance and scaling inference and training systems. You will become familiar with the team's technical stack, allowing you to make targeted contributions as an individual contributor when necessary. Your role will involve managing the day-to-day execution of the team's work, prioritizing tasks, and managing projects in a highly dynamic environment.

You will coach and support your team members, helping them understand their professional growth opportunities and encouraging them to pursue their goals. Maintaining a deep understanding of the team's technical work and its implications for AI safety will be crucial in your role. You will work closely with researchers and engineers to ensure that the systems developed are not only efficient but also safe and beneficial for users and society.

What we offer

At Anthropic, we offer competitive compensation and benefits, including optional equity donation matching, generous vacation and parental leave, and flexible working hours. Our office in San Francisco provides a collaborative environment where you can work alongside committed researchers, engineers, and policy experts. We believe in the importance of creating reliable, interpretable, and steerable AI systems, and we encourage you to apply even if your experience doesn't match every requirement. Join us in our mission to build beneficial AI systems.