Anthropic

Technology

EngineeringManager,SafeguardsReview

$250–350k ~AI est. San Francisco, California, United States
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Manager candidates.

The Brief

“Engineering Manager, Safeguards Review at Anthropic. Skills: Safeguards Review Tooling, AI Safety, Platform Engineering. Lead, grow, and develop a team of engineers. Build investigation, review, and enforcement tooling”

Industry & Context.

Technology
Problems you'll solve

Root cause analysis

What They're Looking For.

Must Have

Experience managing software engineering teams, Technical background in full-stack or platform engineering, Experience shipping internal tools or platforms, Experience working cross-functionally with non-engineering partners, Excellent communication skills, Bachelor's degree or equivalent experience

Nice to Have

4+ years of management experience, 10+ years of industry software engineering experience, Experience building trust and safety tooling, Experience designing systems under strict privacy constraints, Experience integrating LLMs into operational workflows, Experience building developer platforms, Experience supporting enforcement systems across multiple product surfaces

What You'll Do.

and develop a team of engineers

and enforcement tooling

Define vision and roadmap for review tooling platform

Drive team's strategy for scaling review through automation

Enable reviewers to use Claude effectively

Build toward Claude-assisted review workflows

Build toward Claude-driven review workflows

Partner with stakeholders to translate needs into systems

Ensure review tooling evolves with privacy primitives

Ensure review tooling evolves with data retention commitments

Create clarity for the team and stakeholders

equitable approach to hiring

equitable approach to coaching talent

Maintain a high-performing team

Contribute to engineering-wide initiatives

How You'll Work.

Team & Collaboration

Partner with policy; Partner with operations; Partner with data science; Partner with legal teams; Partner with privacy teams; Engineering management community

Communication Scope

Explain technical tradeoffs

Process & Methodology

Roadmap planning

Full 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 Safeguards team is responsible for ensuring our models and products are developed and deployed safely. We're looking for an Engineering Manager to lead our Review Tooling team, which builds the systems that humans — and increasingly Claude — use to investigate potential harms and take enforcement actions across Anthropic's first-party products and third-party cloud platforms. This is a foundational role: you'll own the tools our safety investigators rely on to understand what's happening on our platforms and act on it, as well as the platform underneath those tools. That platform includes analytics capabilities, privacy-preserving primitives that keep review workflows compatible with our data retention commitments, and a sandbox environment where new review interfaces and workflows can be built and iterated quickly. As model capabilities and usage grow, you'll also drive how we scale review through automation — building systems where Claude meaningfully extends what human reviewers can do, while keeping people in the loop where their judgment matters most. You'll partner closely with policy, operations, data science, and legal teams to ensure our enforcement systems are effective, accurate, and trustworthy. Key responsibilities 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 a

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