Engineering Manager, Agent Runtime Platform

Anthropic$405K — $485K *
Enterprise Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 10+ years experience with large-scale platforms or distributed systems
  • 1+ years of management experience in a technical environment
  • Strong interest in safe deployment of advanced AI systems
  • Experience with container or VM orchestration at scale
  • Excellent communication skills to support internal partners

Responsibilities

  • Own technical strategy and roadmap, translating goals into execution
  • Manage day-to-day team workflow and project execution
  • Prioritize team tasks in a dynamic, fast-paced environment
  • Build and ship the runtime platform and tooling actively
  • Define secure agent execution at scale with security teams
  • Construct composable and reusable primitives for various agents
  • Ensure infrastructure scalability and reliability through capacity planning
  • Collaborate with internal teams to support agent deployment

Benefits

  • Visa sponsorship available
  • Encourages applications from underrepresented groups
  • Diverse perspectives valued in team
  • Hybrid work policy requires 25% office presence
  • Commitment to employee safety during recruitment
Full Job Description
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
You May Be a Good Fit If You:
  • 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
Strong Candidates May Also Have:
  • Engineering management experience on top of a strong IC track record
  • Experience with harness engineering
  • Experience with building security-sensitive infrastructure: sandboxing, workload isolation, credential management, or access control
  • Experience with capacity planning and utilization across multiple cloud providers
  • Experience working with researchers, engineers and other functional roles


Deadline to apply: None. Applications will be reviewed on a rolling basis.

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Annual Salary:

$405,000-$485,000 USD

Logistics

Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from [redacted].com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links-visit anthropic.com/careers directly for confirmed position openings.

About Anthropic

Anthropic is an artificial intelligence research lab that focuses on developing AI systems that are safe, reliable, and trustworthy. The company was founded in 2019 by Dr. Yoshua Bengio, a leading AI researcher and winner of the Turing Award. Anthropic's research is focused on developing AI systems that can learn from small amounts of data, reason about complex systems, and interact with humans in a natural way. The company is based in New York City and has a team of experienced AI researchers and engineers.
Learn more about Anthropic
Size
50 employees
Industry
Founded
2019

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