Engineering Manager, Safeguards Infrastructure - Anthropic

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

Anthropic is seeking an experienced Engineering Manager to join our Safeguards (Trust & Safety) team, and lead a team of software engineers building infrastructure and tooling that powers our safety systems. In this role, you'll lead a team of engineers building the foundational infrastructure that enables Anthropic to build and maintain safe and responsible AI products.

Working closely with other policy, engineering, and machine learning teams, you'll be responsible for developing scalable systems that support our safety efforts while balancing immediate needs with long-term investments. 

This role will demand of you thoughtful technical leadership and the ability to make strategic trade-offs that serve both our current customers’ requirements and a future technical vision.

Key Responsibilities:

• Build and lead a team of highly-performing software engineers building production infrastructure and tooling for Safeguards systems
• Help scale reliable systems that support the Trust & Safety operating loop of detection, mitigation and measurement
• Work closely with Research, ML engineers, and Data scientists to build the primitives, tools and infrastructure that allow them to go faster in service of building detection and response systems
• Collaborate with Safeguards Product, Policy and Enforcement partners to build tools that streamline enforcement operations, and build self-service tools for both internal teams and external customers
• Coach and mentor team members in their career growth

Requirements:

• 8+ years in an infrastructure, product infrastructure or trust and safety team and 4+ years in an engineering management role leading infrastructure or tooling teams building reliable, scalable systems
• 2+ years of experience managing senior and staff software engineers
• Experience in balancing speed and precision when evaluating technical trade-offs in a fast growth setting
• Excellent leadership and communication skills, with ability to work effectively across functions and an ability to communicate highly technical concepts to various stakeholders
• Strong, proven people management skills in coaching, recruiting, and developing engineers
• Experience designing operational processes around on-call, post-mortems, etc.
• Customer obsession, both for external customers and internal teams using your systems

Strong Candidates May Also Have:

• Experience in adversarial environments such as Trust and Safety, Integrity, or Fraud detection (beneficial but not required)
• Background in building systems at scale with a focus on reliability and performance, and deep knowledge of modern cloud infrastructure (GCP / AWS)
• Experience working directly with ML and Research engineering teams

You'll thrive in this role if you're passionate about building reliable infrastructure that keeps AI systems safe, and believe deeply in the importance of developing responsible AI technologies.