Anthropic

Engineering Manager, API Enterprise and Multicloud

San Francisco, CA | New York City, NYFull-TimeManagerSoftware Engineering

Skills

Security Ownership AI safety

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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

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

Own all aspects of the API Distributability team—hiring, performance management, career development, and overall org health.
Lead the technical strategy and delivery roadmap for transforming the Claude API into a cloud-native and cross-cloud API.
Drive enterprise readiness end-to-end across the API
Partner with GTM, Legal, and enterprise customers to translate business and regulatory requirements into concrete engineering priorities and committed roadmap milestones.
Build and maintain strong cross-functional relationships with Infrastructure, Platform, Security, and Safeguards to ensure architectural coherence and unblock delivery.
Represent Distributability in API Engineering leadership forums and drive alignment on roadmap, resourcing, and cross-team dependencies.
Own all aspects of the API Distributability team—hiring, performance management, career development, and overall org health.
Lead the technical strategy and delivery roadmap for transforming the Claude API into a cloud-native and cross-cloud API.
Drive enterprise readiness end-to-end across the API
Partner with GTM, Legal, and enterprise customers to translate business and regulatory requirements into concrete engineering priorities and committed roadmap milestones.
Build and maintain strong cross-functional relationships with Infrastructure, Platform, Security, and Safeguards to ensure architectural coherence and unblock delivery.
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

Have 10+ years experience managing engineering teams, ideally building platforms, infrastructure, and enterprise-facing developer products.
Have a track record of leading teams that deliver enterprise-grade, cloud-native products—ideally with exposure to compliance, security, or regulated environments.
Understand the technical depth behind enterprise requirements
Are a strong communicator and partner to non-engineering stakeholders—you can represent technical tradeoffs clearly to GTM, Legal, and executive audiences.
Build high-performing teams through clear expectations, direct feedback, and genuine investment in engineer growth.
Operate effectively at the intersection of technical complexity and business urgency, setting realistic commitments while maintaining quality.
Have 10+ years experience managing engineering teams, ideally building platforms, infrastructure, and enterprise-facing developer products.
Have a track record of leading teams that deliver enterprise-grade, cloud-native products—ideally with exposure to compliance, security, or regulated environments.
Understand the technical depth behind enterprise requirements
Are a strong communicator and partner to non-engineering stakeholders—you can represent technical tradeoffs clearly to GTM, Legal, and executive audiences.
Build high-performing teams through clear expectations, direct feedback, and genuine investment in engineer growth.
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.

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.