Tech Lead Manager, Agent Runtime Platform

Menlo Ventures; San Francisco (CA); Hybrid; USD 405,000 - 485,000; Full time

Benefits offered by this job

Competitive compensation

Equity donation matching

Generous vacation and parental leave

Flexible working hours

Job summary

Anthropic is seeking an Engineering Manager for the Agent Runtime Platform to lead the compute and runtimes behind internal agents. You will drive the technical strategy, oversee delivery, and ensure security and quality at scale in a fast-paced environment.

You will guide teams across security, reliability, and cross-functional collaboration while staying hands-on with platform development and capacity planning for cloud environments. The role blends leadership with engineering execution.

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.
• Deep interest in the potential transformative effects of advanced AI systems and responsible deployment.
• Excellent communication skills and ability to support internal partners.

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 dynamic environment.
• Stay hands-on: build and ship the runtime platform and tooling.
• Define what secure agent execution means at scale, partnering with security teams.
• Build primitives that are composable and reusable across various agents.
• Own infrastructure scalability and reliability: capacity planning across cloud providers.
• Collaborate cross-team, supporting internal teams bringing up their agents.

Skills

Distributed systems

Engineering leadership

Security & sandboxing

Cloud capacity planning

Cross-team collaboration

Education

Bachelor’s degree

Tools

Kubernetes

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

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.

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.

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.

How we're 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. We're 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 about our policy for using AI in our application process.