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Engineering Manager, Enterprise Foundations

San Francisco, CA | New York City, NY

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

Enterprise is central to Anthropic's mission. The organizations that could benefit most from Claude in healthcare, financial services, and government are often the most demanding buyers, with rigorous requirements around security, compliance, and control. We believe earning their trust is essential to ensuring AI benefits the world broadly.

We're looking for an engineering leader to build and scale our Enterprise Foundations team. This team owns the foundational systems that make Claude work for large organizations: the admin experiences, billing controls, identity and access management, and deployment systems that let Fortune 500 companies adopt Claude with confidence. You'll be responsible for making it dramatically easier for enterprises to buy, deploy, and manage Claude across their entire organization, with direct day to day impact on unlocking business outcomes.

This role sits at the intersection of enterprise product, platform infrastructure, and go-to-market. You'll partner closely with product, design, sales, and customer success to understand what our largest customers need, then translate those requirements into scalable technical solutions. The work spans unified administration across Anthropic's product suite, consumption-based pricing and billing, enterprise identity and permissions, and meeting the deployment requirements of regulated industries.

Responsibilities

  • Build and lead a high-performing team of engineers focused on enterprise admin, billing, identity, and deployment infrastructure

  • Own the technical strategy for enterprise platform systems

  • Drive development of scalable systems that let enterprises deploy, manage, and scale Claude usage across their organizations

  • Partner on deployment requirements for regulated industries including compliance certifications, data residency, and multi-cloud availability

  • Work closely with sales, customer success, and GTM teams to identify enterprise blockers and translate them into prioritized engineering work

  • Create clarity and direction for the team in a fast-moving environment where enterprise requirements evolve rapidly

You May Be a Good Fit If You Have

  • 5+ years of experience as an engineering manager, with at least 3 years leading teams building enterprise SaaS platforms

  • Strong technical background with hands-on experience building admin experiences, billing systems, or identity/access management platforms

  • Experience with enterprise identity management including SSO integration, SCIM provisioning, and RBAC systems at scale

  • Track record shipping billing and pricing infrastructure—ideally including consumption/usage-based models or enterprise contract management

  • Experience building systems that scale from small teams to large enterprise deployments (500K+ user organizations)

  • Excellent communication skills and ability to work effectively across product, design, sales, customer success, and security functions

Strong Candidates May Also Have

  • Experience with AI/ML products and understanding how enterprises evaluate and deploy AI tools

  • Background with compliance frameworks for regulated industries (SOC2, HIPAA) and enterprise audit logging requirements

  • Experience with multi-cloud deployments or marketplace distribution (AWS, GCP, Azure)

  • Familiarity with data residency and sovereignty requirements across global regions

  • Startup experience, particularly in scaling enterprise platforms from early adoption to broad deployment

The expected base compensation for this position is below. Our total compensation package for full-time employees includes equity, benefits, and may include incentive compensation.

Annual Salary:

$405,000 - $485,000 USD

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.

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

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