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About the Role
The Safeguards team is seeking an Engineering Manager to lead the Review Tooling team. This team builds systems used for investigating potential harms and taking enforcement actions across Anthropic's products. This foundational role involves owning the tools safety investigators rely on, the underlying platform with analytics and privacy primitives, and driving the scaling of review through automation.
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
Requirements
- 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
- 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
Skills
- Full-stack engineering
- Platform engineering
- Software engineering management
- Hiring
- Coaching
- Developing engineers
- Shipping internal tools
- Platform development
- Cross-functional collaboration
- Communication
- Trust and safety tooling
- Integrity tooling
- Fraud prevention tooling
- Abuse prevention tooling
- Human review systems
- Privacy-preserving systems
- Data governance
- LLM integration
- Agentic systems
- Human-in-the-loop automation
- Developer platforms
- Extensible tooling frameworks
- Enforcement systems
- Moderation systems
Location
- San Francisco
Work Type
- Hybrid
Experience Level
- 4+ years of management experience
- 10+ years of industry software engineering experience
Education Level
- Bachelor’s degree or an equivalent combination of education, training, and/or experience
- A field relevant to the role as demonstrated through coursework, training, or professional experience
Salary/Compensations
- £325,000—£390,000 GBP
Benefits
- Competitive compensation
- Benefits
- Optional equity donation matching
- Generous vacation
- Parental leave
- Flexible working hours
- Lovely office space
About the Company
- 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.
- 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.
- 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.
- Anthropic is a public benefit corporation headquartered in San Francisco.
Equal Opportunity
- 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.