Engineering Manager, Enterprise

Anthropic; California (MO); Hybrid; USD 405,000 - 485,000; Full time

Benefits offered by this job

Equity donation matching

Flexible hours

Generous vacation

Parental leave

Job summary

Anthropic is seeking an Engineering Manager for its Enterprise pillar to make Claude enterprise-ready at scale. You will lead a team of engineers, drive end-to-end delivery, and partner with product, design, sales, and customer success to meet the needs of large organizations.

You’ll own platform readiness, compliance, and scalable integrations across Claude.ai, Claude Code, and API, shaping the roadmap with stakeholders while growing a high-performing team.

Qualifications

• 4+ years as an engineering manager, with enterprise SaaS or cloud experience.
• Comfortable in fast-paced enterprise environments and cross-functional teamwork.
• Ability to translate customer needs into scalable technical solutions.

Responsibilities

• Lead and grow engineers building Claude enterprise-ready features and foundations.
• Own end-to-end execution: planning, prioritization, delivery quality, and incident response.
• Collaborate with product, design, sales, and customer success for enterprise deals.
• Shape the roadmap with cross-functional partners; ensure platform extensibility.
• Drive compliance and security readiness in collaboration with security/legal teams.
• Recruit, onboard, and develop a high-performing engineering team.

Skills

Engineering management

Enterprise SaaS

Cloud services

Leadership

Stakeholder comms

Education

Bachelor’s degree

Job description

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 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 manager for our Enterprise pillar —the team that makes Claude enterprise-ready at scale. When a Fortune 500 company wants to roll out Claude to 100,000 employees, we're the team that makes it possible.

You’ll build the foundational systems that large organizations require before they can deploy AI at scale. This work directly converts product-market fit into revenue by removing the deployment blockers that prevent large organizations from adopting Claude broadly.

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 that work across Claude.ai, Claude Code, and API.

Responsibilities

Lead and develop a team of engineers building out features and foundations that make Claude enterprise-ready at scale

Own engineering execution end-to-end: planning, prioritization, delivery quality, team health, and incident response

Partner with engineering teams throughout the company to ensure that the platforms we build are extensible and easy to adopt

Partner with sales and customer success on enterprise deals—understanding requirements, representing engineering in key conversations, and turning what you learn into priorities

Shape the roadmap with product and design, not just execute against it

Drive the compliance and platform-readiness work your customers require, partnering with security and legal

Recruit, onboard, and grow strong engineers; give direct feedback and build a healthy, high-performing team

Minimum qualifications

4+ years of experience as an engineering manager, with experience in enterprise SaaS, cloud services, or admin tools

Are comfortable executing at a fast pace to meet the expectations of our customers

Are detail-oriented and quality-focused - our customers are using Claude for critical workflows and our product needs to stay robust and reliable

Are comfortable working with enterprise customers, working alongside sales and customer success and joining customer conversations

Are a skilled engineering manager who treats management as a craft—clear feedback, strong 1:1s, consistent investment in your team's growth

Preferred qualifications

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 building integrations, permissions, billing, or pricing infrastructure

Familiarity with data residency and sovereignty requirements across global regions

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

Experience in working with research to improve domain specific model capabilities

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

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.

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.