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Responsibilities

• 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

You may be a good fit if you

• 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!

Strong candidates may also have experience with

• 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.

For sales roles, the range provided is the roles 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-$485,000USD

Logistics

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.

Your safety matters to us.To protect yourself from potential scams, remember that Anthropic recruiters only contact you from@anthropic.comemail addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any linksvisit

anthropic.com/careers{target="_blank"}directly for confirmed position openings.

How we're different

We believe that th highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact advancing our long-term goals of steerable, trustworthy AI rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI and Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.