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About the Role
As an Engineering Manager, you will lead research engineers in designing and building systems that enable AI to analyze large, unstructured datasets and produce structured, trustworthy insights. The team operates across the full stack, developing core analysis frameworks, user-facing applications, and interfaces. This role is high-leverage, with the tools you build impacting dozens of researchers and investigators, directly shaping our ability to measure and mitigate AI misuse and misalignment.
Responsibilities
- Lead the design and implementation of AI-based monitoring systems for AI training and deployment.
- Extend and improve core frameworks for processing large volumes of unstructured text.
- Partner with researchers and safety teams across Anthropic to understand their analytical needs and prioritize team work.
- Develop agentic integrations that allow AI systems to autonomously investigate and act on analytical findings.
- Contribute to the strategic direction of the team, including build, partner, and investment decisions.
- Coach and support reports to understand and pursue their professional growth.
- Run the team's recruiting efforts to ensure rapid growth.
- Design processes that help the team operate effectively.
Requirements
- Experienced manager with at least 2 years of people management experience.
- 5+ years of software engineering experience with meaningful exposure to ML systems.
- Familiarity with LLM application development (context engineering, evaluation, orchestration).
- Ability to context-switch between deep infrastructure work and user-facing product thinking.
- Comfort with ambiguity in a small, growing team environment.
Skills
- People management
- Software engineering
- ML systems
- LLM application development
- UX
- Reliability
- Documentation
- Infrastructure work
- Product thinking
- Collaboration
- Cross-functional environments
- AI safety
- Alignment
- Responsible deployment
- Coaching
- Performance evaluation
- Mentorship
- Career development
- Recruiting
- Data science
- Engineering
- Large-scale data processing frameworks
- Productionizing internal tools
- Building developer-facing platforms
- Monitoring systems
- Observability systems
- Communication skills
Location
- San Francisco
Work Type
- Hybrid
Experience Level
- Manager (at least 2 years)
- 5+ years of software engineering experience
Education Level
- Bachelor’s degree or equivalent combination of education, training, and/or experience
- Field relevant to the role
Salary/Compensations
- $405,000—$850,000 USD
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 that are safe and beneficial for users and society.
- The company is a public benefit corporation headquartered in San Francisco.
- Anthropic believes that high-impact AI research is big science, focusing on large-scale research efforts with an emphasis on impact and advancing steerable, trustworthy AI.
- AI research is viewed as an empirical science with connections to physics, biology, and computer science.
- The company fosters a collaborative environment with frequent research discussions to prioritize high-impact work.
- Research directions include GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
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.
- We urge candidates who identify as being from underrepresented groups not to exclude themselves prematurely.
- We think AI systems have enormous social and ethical implications, making representation even more important.
- We strive to include a diverse range of perspectives on our team.