Engineering Manager, Agent Runtime Platform

Anthropic; Seattle, San Francisco (WA, CA); On-site; USD 405,000 - 485,000; Full time

Job summary

Anthropic, located in Seattle, is seeking an Engineering Manager for the Agent Runtime Platform. You will drive the technical strategy, manage execution, and ensure productivity while building secure and scalable AI systems. With 10+ years in platform development and 1+ years in management, you will lead efforts in a fast-paced environment.

The estimated compensation is between $405,000 and $485,000 per year, with a minimum education requirement of a Bachelor's degree.

Qualifications

• 10+ years building and operating large-scale platforms or distributed systems.
• 1+ years of management experience in a technical environment.
• Experience with container or VM orchestration at scale.

Responsibilities

• Own the technical strategy and roadmap.
• Manage day-to-day execution of the team's work.
• Prioritize and manage projects in a dynamic environment.

Skills

Large-scale platform development

Management experience in technical environment

Container orchestration

Excellent communication skills

Transformative effects of advanced AI

Productivity enhancement

Education

Bachelor's degree or equivalent

Tools

VM orchestration

Security-sensitive infrastructure

Capacity planning

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

The Agent Runtime Platform provisions and runs the compute and runtimes behind Anthropic's internal agents: secure, credential‑managed environments where agents do real engineering and knowledge work at scale. As an Engineering Manager on these teams, you will be responsible for ensuring you and your team are identifying and removing friction and blockers to productivity, experimenting at the frontier, and building security and quality into agents. You also will help bring clarity, focus, and context to your teams in a fast‑paced, dynamic environment.

Responsibilities

• Own the technical strategy and roadmap, translating goals into concrete execution
• Manage day‑to‑day execution of the team's work
• Prioritize the team’s work and manage projects in a highly dynamic, fast‑paced environment
• Stay hands‑on: build and ship the runtime platform and tooling
• Define what secure agent execution means at scale, partnering with security teams on sandboxing, isolation, and credential management
• Build primitives that are composable and reusable across various agents
• Own infrastructure scalability and reliability: capacity planning across cloud providers, right‑sizing, and operational excellence
• Collaborate cross‑team, supporting internal teams bringing up their agents

Qualifications

• Have 10+ years building and operating large‑scale platforms or distributed systems
• Have 1+ years of management experience in a technical environment, particularly in building platforms or agents at scale
• Are deeply interested in the potential transformative effects of advanced AI systems and agents, and are committed to ensuring their safe deployment
• Have experience with container or VM orchestration at scale
• Are obsessed with productivity and transforming how we work
• Have excellent communication skills and enjoy supporting internal partners
• Optional: Engineering management experience on top of a strong IC track record
• Optional: Experience with harness engineering
• Optional: Experience with building security‑sensitive infrastructure: sandboxing, workload isolation, credential management, or access control
• Optional: Experience with capacity planning and utilization across multiple cloud providers
• Optional: Experience working with researchers, engineers and other functional roles

Compensation

$405,000 - $485,000 USD per year

Location & Visa

Minimum education: Bachelor's degree or equivalent combination of education, training, and/or experience. Minimum years of experience: Correlates with internal job level requirements. Staff must be in office at least 25% of the time. Visa sponsorship available.