Engineering Manager, API Enterprise and Multicloud

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

Anthropic is seeking an Engineering Manager to lead the API Distributability team within the API organization. The Claude API today is a rapidly growing platform serving developers and enterprises at scale—but reaching the next tier of enterprise customers requires transforming how and where we deploy it. The Distributability team owns that transformation: making the Claude API a cloud-native, managed product that runs wherever our customers need it, cross-cloud and on Anthropic's own infrastructure, with the enterprise-grade security, compliance, and operational capabilities to support it.

This is a high-impact, high-visibility leadership role reporting to the Head of API Engineering. The work spans cross-cloud deployment architecture, private networking, data residency, compliance certifications (HIPAA, FedRAMP), and multicloud APIs—all of which are critical to unlocking Anthropic's enterprise revenue growth and expanding our reach into regulated industries and global markets. You will set technical direction, drive delivery, and work closely with CSP partners, GTM, Legal, Security, Infrastructure, and enterprise customers to define and execute the roadmap.

Responsibilities

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Own all aspects of the API Distributability team—hiring, performance management, career development, and overall org health.

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Lead the technical strategy and delivery roadmap for transforming the Claude API into a cloud-native and cross-cloud API.

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Drive enterprise readiness end-to-end across the API

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Partner with GTM, Legal, and enterprise customers to translate business and regulatory requirements into concrete engineering priorities and committed roadmap milestones.

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Build and maintain strong cross-functional relationships with Infrastructure, Platform, Security, and Safeguards to ensure architectural coherence and unblock delivery.

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Represent Distributability in API Engineering leadership forums and drive alignment on roadmap, resourcing, and cross-team dependencies.

You may be a good fit if you:

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Have 10+ years experience managing engineering teams, ideally building platforms, infrastructure, and enterprise-facing developer products.

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Have a track record of leading teams that deliver enterprise-grade, cloud-native products—ideally with exposure to compliance, security, or regulated environments.

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Understand the technical depth behind enterprise requirements

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Are a strong communicator and partner to non-engineering stakeholders—you can represent technical tradeoffs clearly to GTM, Legal, and executive audiences.

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Build high-performing teams through clear expectations, direct feedback, and genuine investment in engineer growth.

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Operate effectively at the intersection of technical complexity and business urgency, setting realistic commitments while maintaining quality.

Deadline to apply: None. Applications will be reviewed on a rolling basis.

Location Preference: Preference will be given to candidates based in New York or the San Francisco Bay Area as these positions are part of an SF- or NY-based team.

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:
$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.

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