Engineering Manager - Observability

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.

Anthropic is looking for an Engineering Manager to help lead our Observability team — the group responsible for the metrics infrastructure that keeps Anthropic's most critical systems running. When metrics go down, the company can't tell how training runs are progressing or whether production inference is healthy. This is mission-critical infrastructure with real operational stakes.

You'll lead a growing software engineering team, partner with strong technical leads, and manage the internal and external relationships that make a platform team successful  you've led teams build a metrics or observability system before and thrive in high-operational-tempo environments, this is a rare chance to do it at a company where the infrastructure genuinely matters.

• Help grow the Observability team, hiring exceptional software engineers and building a resilient, high-ownership culture
• Own Anthropic's metrics platform end-to-end — design, reliability, roadmap, and operational excellence
• Build strong partnerships with internal customers across infrastructure, training, and inference teams to understand needs and manage priorities
• Partner with the team's technical leads to align on architecture, execution, and hiring
• Drive operational rigor — making on-call and incident response sustainable and continuously improving

• Have 2+ years of engineering management experience leading observability, monitoring, or metrics infrastructure teams
• Bring domain expertise in metrics infrastructure — you've worked with Prometheus, Grafana, time series databases, or similar technologies
• Have experience managing an internal platform team with many stakeholders — you know how to manage competing priorities and communicate tradeoffs clearly
• Are operationally minded — you've led teams with significant on-call burden and know how to make reliability a first-class priority
• Are a positive, high-energy leader who creates a "we can do this" environment even when things are hard. Life on the exponential is challenging!

• Running a metrics or observability system at a company with a large internal customer base
• Managing external vendor partnerships for observability tooling
• Observability for ML training or inference workloads
• Building or operating metrics infrastructure at significant scale

The annual compensation range for this role is listed below.

Annual Salary: $405,000—$485,000 USD

Education requirements: 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.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work.

We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

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