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Anthropic

Technical Program Manager, Reliability Engineering

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In-Office
San Francisco, CA, USA
290K-365K Annually
In-Office
San Francisco, CA, USA
290K-365K Annually

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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.

About the Role

As our products scale and our systems grow in complexity, operational excellence becomes critical. We're looking for an experienced Technical Program Manager to own and evolve Anthropic's incident management program. You'll be responsible for how we detect, respond to, and learn from incidents. This includes building the processes, tooling coherence, and standards that ensure we operate reliably at scale.

You'll partner closely with reliability and infrastructure engineering teams, establish incident response standards, drive remediation accountability, and ensure we continuously improve from every incident. You'll also support broader reliability initiatives as they intersect with incident management.

Responsibilities:
  • Own the end-to-end incident management program: response processes, escalation paths, communication standards, and remediation tracking
  • Establish and run incident commander rotations, ensuring clear ownership and effective coordination during incidents of varying severity
  • Drive followup accountability by defining how action items are captured, tracked, and completed across teams
  • Partner with engineering teams to improve incident tooling coherence and adoption
  • Lead incident review forums and ensure learnings are captured and acted upon
  • Develop and maintain incident response documentation, playbooks, and training materials
  • Coordinate with infrastructure and platform teams on reliability improvements driven by incident patterns
  • Support broader reliability program initiatives, contributing expertise on incident-related workstreams
You may be a good fit if you:
  • Have 7+ years of experience in technical program management, incident management, or site reliability engineering
  • Have led incident response programs at a technology company, ideally in a high-growth or infrastructure-intensive environment
  • Are comfortable participating in on-call responsibilities and leading incident response during high-severity events
  • Have experience building and scaling operational processes from the ground up
  • Excel at driving accountability and followthrough across multiple teams without direct authority
  • Are highly organized with a knack for bringing structure to ambiguous situations
  • Have strong communication skills, especially under pressure and when coordinating across technical and non-technical stakeholders
  • Have a track record of improving reliability outcomes through process and tooling improvements
  • Thrive in fast-paced environments where priorities shift and you're often working with incomplete information

Deadline to apply: None, applications will be received on a rolling basis.

The annual compensation range for this role is listed below. 

For sales roles, the range provided is the role’s 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:
$290,000$365,000 USD
Logistics

Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

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.com email 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 links—visit anthropic.com/careers directly for confirmed position openings.

How we're different

We believe that the 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 & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process

HQ

Anthropic San Francisco, California, USA Office

548 Market St, San Francisco, California, United States, 94104

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

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