Engineering Manager, Safeguards

About the role

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.

What you’ll do

• Lead, grow, and develop a team of engineers building investigation, review, and enforcement tooling for both first-party and third-party platform surfaces
• Define the vision and roadmap for our review tooling platform, including analytics, privacy-compatible data access primitives, and a sandbox for rapidly developing new review interfaces
• Drive the team's strategy for scaling review through automation, including enabling reviewers to use Claude effectively and building toward Claude-assisted and Claude-driven review workflows
• Partner with policy, operations, legal, privacy, and data science stakeholders to translate enforcement and investigation needs into reliable, well-designed systems
• Ensure review tooling evolves alongside new privacy primitives and data retention commitments, so reviewers can do their work without compromising user trust
• Create clarity for the team and stakeholders in an ambiguous and evolving environment
• Take an inclusive, equitable approach to hiring and coaching top technical talent, and maintain a high-performing team
• Contribute to engineering-wide initiatives as a member of Anthropic's engineering management community

What they’re looking for

Select a requirement to inspect fit, evidence or application context.

• Experience managing software engineering teams, including hiring, coaching, and developing engineers
• A technical background in full-stack or platform engineering, with the ability to engage deeply in architecture and design discussions
• Experience shipping internal tools or platforms with demanding operational users, and a track record of improving their workflows measurably
• Experience working cross-functionally with non-engineering partners such as operations, policy, or legal teams
• Excellent communication skills, including the ability to explain technical tradeoffs to non-technical stakeholders
• Care about the societal impacts of AI and want your work to make powerful systems safer
• A field relevant to the role as demonstrated through coursework, training, or professional experience

Helpful, not always essential

• 4+ years of management experience, 10+ years of industry software engineering experience
• Experience building trust and safety, integrity, fraud, or abuse-prevention tooling, or other systems supporting human review at scale
• Experience designing systems under strict privacy, compliance, or data governance constraints, such as zero data retention environments
• Experience integrating LLMs or agentic systems into operational workflows, or building human-in-the-loop automation
• Experience building developer platforms or extensible tooling frameworks that other teams build on top of
• Experience supporting enforcement or moderation systems across multiple product surfaces, including enterprise or cloud platform contexts
• 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:
• £325,000—£390,000 GBP