Engineering Manager, Safeguards Review Tooling

Anthropic$405K — $485K *
Consumer Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years managing software engineering teams with a focus on recruiting and developing talent
  • Technical expertise in full-stack or platform engineering
  • Proven experience delivering internal tools for operational users
  • Collaborative experience across engineering and non-engineering functions such as policy and legal
  • Strong communication skills to effectively convey technical concepts to non-technical audiences
  • Demonstrated commitment to the ethical implications of AI

Responsibilities

  • Lead and mentor a team of engineers focused on investigation and enforcement tools
  • Define the vision and roadmap for the review tooling platform
  • Drive automation strategies for scalable review processes using Claude
  • Collaborate with diverse teams to create reliable enforcement systems
  • Ensure tools adhere to privacy and data retention standards
  • Foster a clear and coherent team environment amidst ambiguity
  • Promote an inclusive and equitable hiring process to build a strong engineering team

Benefits

  • Hybrid work policy requiring minimal in-office presence
  • Visa sponsorship available for candidates
  • Commitment to diverse representation in the team
  • Opportunities for involvement in engineering-wide initiatives
  • Focus on societal impacts of AI in organizational goals
Full Job Description


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.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

About Anthropic

Anthropic is an artificial intelligence research lab that focuses on developing AI systems that are safe, reliable, and trustworthy. The company was founded in 2019 by Dr. Yoshua Bengio, a leading AI researcher and winner of the Turing Award. Anthropic's research is focused on developing AI systems that can learn from small amounts of data, reason about complex systems, and interact with humans in a natural way. The company is based in New York City and has a team of experienced AI researchers and engineers.
Learn more about Anthropic
Size
50 employees
Industry
Founded
2019

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