As an Engineering Manager for the team, you’ll lead research engineers who design and build systems that let AI analyze large, unstructured datasets — think tens or hundreds of thousands of conversations or documents — and produce structured, trustworthy insights. The team works across the full stack, from core analysis frameworks through user‑facing apps and interfaces. This is a high‑leverage role; the tools you build will be used by dozens of researchers and investigators, directly shaping our ability to measure and mitigate both misuse and misalignment.
[DH] Engineering Manager, AI Observability na Anthropic
Híbrido - San Francisco, CA
Ver mais vagas na AnthropicSalary
USD 405,000 - 850,000
Requirements
Skills
- At least 2 years of management experience
- 5+ years of software engineering experience with meaningful exposure to ML systems
- Excited about scaling human oversight of AI systems
- Familiar with LLM application development (context engineering, evaluation, orchestration)
- Enjoy building tools that other people use – cares about UX, reliability, and documentation
- Can context-switch between deep infrastructure work and user‑facing product thinking
- Thrive in collaborative, cross‑functional environments
- Research experience in AI safety, alignment, or responsible deployment
- Strong people management experience: coaching, performance evaluation, mentorship, career development
- Experience recruiting for your team: predicting staffing needs, designing interview loops, evaluating candidates, closing them
- Practical experience with both data science and engineering, including developing and using large‑scale data processing frameworks
- Experience with productionizing internal tools or building developer‑facing platforms
- Background in building monitoring or observability systems
- Comfort with ambiguity
- Bachelor's degree or equivalent combination of education, training, and/or experience
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 the team's work to build solutions
- Develop agentic integrations that allow AI systems to autonomously investigate and act on analytical findings
- Contribute to the strategic direction of the team, including decisions about what to build, what to partner on, and where to invest
- Coach and support your reports to understand and pursue their professional growth
- Run the team's recruiting efforts, ensuring we can grow as quickly as we need
- Design processes that help the team operate effectively
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