Used Tools & Technologies
Not specified
Required Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Security @ 3
Distributed Systems @ 7
Communication @ 6
Planning @ 3
Engineering Management @ 6
AI @ 3
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. The Agent Runtime Platform provisions and runs the compute and runtimes behind Anthropic's internal agents: secure, credential-managed environments where agents perform engineering and knowledge work at scale. As an Engineering Manager on this team, you will identify and remove friction and blockers to productivity, experiment at the frontier, build security and quality into agents, and bring clarity, focus, and context to your team in a fast-paced 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
Requirements / Qualifications
- 10+ years building and operating large-scale platforms or distributed systems
- 1+ years of management experience in a technical environment, particularly in building platforms or agents at scale
- Experience with container or VM orchestration at scale
- Experience building security-sensitive infrastructure: sandboxing, workload isolation, credential management, or access control
- Experience with capacity planning and utilization across multiple cloud providers
- Strong communication skills and experience working with researchers, engineers, and other functional roles
- Minimum education: Bachelor’s degree or equivalent combination of education, training, and/or experience
Strong Candidates May Also Have
- Engineering management experience on top of a strong IC track record
- Experience with harness engineering
- Experience working closely with researchers and other functional roles
Logistics
- Locations: San Francisco, CA and Seattle, WA (location-based hybrid policy expects staff to be in one of the offices at least 25% of the time)
- Deadline to apply: None (applications reviewed on a rolling basis)
- Visa sponsorship: Anthropic states they do sponsor visas and retain an immigration lawyer to assist, though not every role/candidate can be guaranteed sponsorship
Compensation
- Annual Salary: $405,000 - $485,000 USD
How We're Different
Anthropic focuses on large-scale, high-impact AI research and values collaboration, communication, and impact over smaller, narrowly scoped projects. The team emphasizes empirical science approaches and frequent research discussions.
Additional Notes
Anthropic encourages applicants from diverse backgrounds and notes that not all strong candidates will meet every qualification listed. They provide guidance for candidates on acceptable communications and caution about scams.