Engineering Manager, Agent Platform

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

As the Engineering Manager for Agent Platform at Anthropic, you'll lead the strategic development of Claude's autonomous capabilities, managing teams that are fundamental to expanding how Claude handles complex, multi-step workflows. You'll oversee the infrastructure that enables Claude to acquire specialized capabilities and domain expertise, as well as the evaluation frameworks that measure and improve Claude's performance on extended, agentic tasks.

This role sits at the intersection of cutting-edge AI research and practical product development. You'll partner with enterprise customers and research teams to translate breakthrough capabilities into production-ready features, while building the systems that ensure quality and safety at scale. Your teams will enable both Anthropic and our customers to extend Claude's capabilities for sophisticated real-world tasks.

The Agent Platform group is part of Frontier Apps, focused on productizing research breakthroughs and enabling Claude to tackle increasingly sophisticated activities. You'll work closely with research teams developing foundational infrastructure, ensuring smooth productization pathways from research to customer-facing features.

Responsibilities

Engineering Leadership & Team Management

• Lead and grow multiple high-impact engineering teams focused on agent capabilities
• Partner with technical leads to set technical direction, prioritize roadmaps, and ensure delivery of high-quality, scalable systems
• Foster a culture of rapid iteration, technical excellence, and cross-functional collaboration
• Manage team processes, from planning to implementation to incident response

Product & Strategic Execution

• Drive the productization of agent capabilities, enabling both internal teams and external customers to use Claude in more powerful ways
• Work with cross functional teams, customers, and partners to help bring your developments to market successfully and ensure adoption of new functionality
• Evolve evaluation infrastructure to support continuous quality measurement throughout model development and deployment
• Partner with enterprise customers across financial services, life sciences, and other verticals to identify high-value use cases and translate them into reusable capabilities

Cross-Functional Collaboration

• Collaborate with API and platform teams to define strategies for broad access to new capabilities, performance, and enterprise governance
• Partner closely with research teams on alignment, capability evaluation, and productization of experimental features
• Work with Product teams to ensure agent infrastructure supports broader product roadmap
• Interface with growth and enterprise teams to enable capability distribution and governance models
• Coordinate with security and safety teams to ensure agent capabilities maintain appropriate standards and drive enhancements in safety and security

Technical Strategy & Operations

• Define strategies for scaling agent capabilities to thousands of use cases and millions of users while maintaining quality, performance, and reliability.
• Establish technical standards and best practices for capability development, both for internal teams and external partners
• Drive decisions on infrastructure ownership and architectural boundaries
• Navigate complex architectural questions around autonomous workflows, third-party integrations, and event-driven systems

You may be a good fit if you

• Have 5+ years of engineering management experience, ideally managing multiple teams and complex product areas
• Care deeply about building AI systems that are safe, reliable, and beneficial for users
• Have experience scaling teams and processes during periods of rapid growth
• Can navigate ambiguity and rapidly changing requirements while maintaining team focus and delivering results
• Excel at cross-functional collaboration, particularly with research teams, enterprise customers, and product stakeholders
• Are comfortable with the "pick up slack" mentality - doing whatever needs to be done to unblock your teams and drive impact
• Can balance speed of iteration with maintaining high quality standards

Strong candidates may also have experience with

• Building evaluation frameworks or infrastructure for machine learning systems
• Working with enterprise customers to understand complex, domain-specific requirements and build generalized platforms
• Developer tools, SDKs, or platforms that enable third-party extensibility
• Managing teams at the intersection of research and product development
• Large language models, prompt engineering, or AI agent systems
• Event-driven architectures or autonomous systems
• Fast-paced startup environments where you've built from 0 to 1
• Managing technical partnerships or ecosystem development

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

The expected base compensation for this position is below. Our total compensation package for full-time employees includes equity, benefits, and may include incentive compensation.

Annual Salary:

$405,000—$625,000 USD

Logistics

Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.

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.

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