Engineering Manager • Lead

Who you are

You have a strong background in engineering management, with experience leading teams that build metrics or observability systems. You thrive in high-operational-tempo environments and understand the importance of reliable infrastructure in AI systems. Your leadership style fosters a culture of high ownership and resilience among your team members. You are skilled in building partnerships with internal stakeholders to align on priorities and understand their needs. You have a track record of hiring exceptional software engineers and developing their careers through mentorship and support. You are passionate about creating a positive work environment that encourages collaboration and innovation.

What you'll do

As the Engineering Manager for the Observability team at Anthropic, you will own the metrics platform end-to-end, ensuring its design, reliability, and operational excellence. You will lead a growing team of software engineers, guiding them in their work and helping them to develop their skills. You will collaborate closely with technical leads to align on architecture and execution, ensuring that the metrics infrastructure meets the needs of the organization. You will also build strong partnerships with internal customers across various teams, including infrastructure, training, and inference, to manage priorities effectively. Your role will involve strategic planning and execution, as well as hands-on leadership to ensure the success of the team and the infrastructure they manage. You will be responsible for fostering a culture of high performance and accountability within the team, driving initiatives that enhance the observability capabilities of Anthropic's systems.

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 space for you to work with colleagues who are equally committed to building beneficial AI systems. We value the contributions of our team members and strive to create an environment where everyone can thrive and make a meaningful impact.