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 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 removing friction and blockers to productivity, experimenting at the frontier, and building security and quality into agents while bringing 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
Requirements
- 10+ years building and operating large-scale platforms or distributed systems
- 1+ years of management experience in a technical environment, particularly 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 supporting internal partners
- Deep interest in the safe deployment of advanced AI systems and agents
Strong Candidates May Also Have
- Engineering management experience on top of a strong IC track record
- Experience with harness engineering
- Experience working with researchers, engineers, and other functional roles
Logistics
- Locations: San Francisco, CA and New York City, NY (United States)
- Location-based hybrid policy: staff expected to be in one of our offices at least 25% of the time
- Minimum education: Bachelor’s degree or equivalent combination of education, training, and/or experience
- Compensation: Annual Salary: $1 - $2 USD
- Deadline to apply: None (applications reviewed on a rolling basis)
- Visa sponsorship: Anthropic states they sponsor visas and retain an immigration lawyer to assist
Benefits
- Competitive compensation and benefits
- Optional equity donation matching
- Generous vacation and parental leave
- Flexible working hours
- Office space for collaboration
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