Engineering Manager, Safeguards Review Tooling

Anthropic; California (MO); Hybrid; USD 405,000 - 485,000; Full time

Job summary

Anthropic is seeking an Engineering Manager to lead the Review Tooling team within the Safeguards group. You will own tools used by safety investigators, including Claude-related workflows, and help scale review through automation.

You will partner with policy, operations, data science, and legal to build trustworthy enforcement systems and ensure privacy-preserving review platforms across first- and third-party surfaces.

Qualifications

• Experience managing software engineering teams.
• Technical background in full-stack or platform engineering.
• Experience shipping internal tools or platforms with demanding users.
• Experience cross-functional with operations, policy or legal teams.
• Excellent communication skills.
• Care about societal impacts of AI.

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 the review tooling platform, including analytics and privacy-preserving data access primitives.
• Drive the team's strategy for scaling review through automation, enabling Claude-assisted and Claude-driven review workflows.
• Partner with policy, operations, legal, privacy, and data science stakeholders to translate needs into reliable systems.
• Ensure tooling evolves with privacy primitives and data retention commitments.
• Create clarity for the team and stakeholders in a evolving environment.
• Contribute to engineering-wide initiatives as part of Anthropic's engineering management community.

Skills

Management experience

Full-stack engineering

Platform engineering

Internal tools

Cross-functional collaboration

Communication skills

Privacy/data governance

Education

Bachelor’s degree

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 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: 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.

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.

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.