Engineering Manager, Agent Runtime Platform

About Anthropic

Anthropics 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 Anthropics 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 teams work

• Prioritize the teams 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.

Logistics

Minimum education: Bachelors 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 arent 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 youre interested in this work. We think AI systems like the ones were 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 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 youre ever unsure about a communication dont click any linksvisit for confirmed position openings.

How were different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact advancing our long-term goals of steerable trustworthy AI rather than work on smaller and more specific puzzles. We view AI research as an empirical science which has as much in common with physics and biology as with traditional efforts in computer science. Were an extremely collaborative group and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic including: GPT-3 Circuit-Based Interpretability Multimodal Neurons Scaling Laws AI & Compute Concrete Problems in AI Safety and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits optional equity donation matching generous vacation and parental leave flexible working hours and a lovely office space in which to collaborate with colleagues. Guidance on Candidates AI Usage:Learn aboutour policy for using AI in our application process.