# Engineering Manager, Enterprise

**Company**: Anthropic
**Location**: San Francisco, CA
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: $405,000-$485,000 USD
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q116758847

**Apply**: https://job-boards.greenhouse.io/anthropic/jobs/5255912008?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_aaf170dc-739

## Description

Anthropic's mission is to create reliable, interpretable, and steerable AI systems.

We're looking for an engineering manager for our Enterprise pillar,the team that makes Claude enterprise-ready at scale.

You'll build the foundational systems that large organizations require before they can deploy AI at scale.

## 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 building enterprise SaaS platforms 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 $405,000-$485,000 USD.

## Skills

### Required
- engineering management
- enterprise SaaS platforms
- admin tools
- AI/ML products

### Nice to have
- compliance frameworks
- enterprise audit logging
- integrations
- permissions
- billing
- pricing infrastructure
- data residency
- sovereignty requirements
- startup experience

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/anthropic/jobs/5255912008?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)