Engineering Manager, Safeguards Review Tooling
full-time
lead
Posted 2 weeks ago
Apply Now
Stand out: build a proof-of-work pitch →
Free GitHub-based preview. Direct apply stays one click away.
Get weekly job alerts like this →Hiring for this role?
About this role
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 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
Minimum qualifications
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
Preferred qualifications
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:
$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
Similar Jobs
Related searches:
Hybrid Jobs
Lead Jobs
Hybrid Lead Jobs
Lead AI Agents & RAGLead Machine LearningLead Backend & SystemsLead NLP & Language AILead AI ResearchLead AI Safety & Security
AI Jobs in San Francisco
AI Agents & RAG in San FranciscoMachine Learning in San FranciscoBackend & Systems in San FranciscoNLP & Language AI in San FranciscoAI Research in San FranciscoAI Safety & Security in San Francisco
llmagentsalignmentrust
Get jobs like this delivered weekly
Free AI jobs newsletter. No spam.