# Engineering Manager, Enterprise

**Company:** [Anthropic](https://hotfix.jobs/companies/anthropic)
**Location:** San Francisco, CA, New York, NY
**Role:** Engineering Management
**Salary:** $405k – $485k/yr
**Experience:** 4+ years
**Skills:** Engineering Management, Enterprise Saas, Cloud Services, Compliance, Soc2, HIPAA, Ai/Ml Products, Integrations, Permissions, Billing Infrastructure
**Posted:** 2026-06-14

> Lead and grow an engineering team building enterprise-grade features and infrastructure to make Claude ready for large-scale deployments at Fortune 500 companies. Partner with product, sales, and customer success to translate enterprise requirements into scalable technical solutions.

## Job Description

## 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

## Requirements
- 4+ years of experience as an engineering manager, with experience in enterprise SaaS, cloud services, or admin tools
- Comfortable executing at a fast pace to meet the expectations of our customers
- Detail-oriented and quality-focused
- Comfortable working with enterprise customers, working alongside sales and customer success and joining customer conversations
- Skilled engineering manager who treats management as a craft—clear feedback, strong 1:1s, consistent investment in your team's growth
- Bachelor's degree or an equivalent combination of education, training, and/or experience in a field relevant to the role

## Nice-to-Haves
- 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

## Compensation & Benefits
- Annual Salary: $405,000–$485,000 USD
- Competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours

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