[DH] Engineering Manager, AI Observability

Location: San Francisco, CA, United States; hybrid policy with staff expected to be in an Anthropic office at least 25% of the time

Annual salary: $405,000–$850,000 USD

Company

Anthropic builds reliable, interpretable, and steerable AI systems designed to be safe and beneficial for users and society.

What you will do

• Lead the design and implementation of AI-based monitoring systems for AI training and deployment.
• Extend frameworks that process large volumes of unstructured text and produce structured, trustworthy insights.
• Partner with researchers and AI safety teams to understand analytical needs and prioritize solutions.
• Develop agentic integrations that enable AI systems to investigate findings and take action autonomously.
• Set the team's technical and strategic direction, including build-versus-partner decisions and investment priorities.
• Coach reports, support professional growth, lead recruiting, and design effective team processes.

Requirements

• At least 2 years of engineering management experience and an interest in people management.
• 5+ years of software engineering experience with meaningful exposure to ML systems.
• Familiarity with LLM application development, including context engineering, evaluation, and orchestration.
• Ability to work across deep infrastructure, user-facing product development, UX, reliability, and documentation.
• Bachelor's degree or equivalent education, training, or relevant experience.
• Ability to work under the location-based hybrid policy in the United States.

Nice to have

• Experience in AI safety, alignment, or responsible deployment research.
• Experience with coaching, performance evaluation, mentorship, career development, and recruiting.
• Experience with data science, large-scale data-processing frameworks, internal tools, developer platforms, monitoring, or observability systems.
• Experience operating effectively in a small, growing team with significant ambiguity.

Culture & Benefits

• Collaborative work across research, engineering, policy, and business functions.
• Work on large-scale AI research and safety initiatives with frequent research discussions.
• Flexible working hours and an office environment designed for collaboration.
• Generous vacation and parental leave.
• Competitive compensation and optional equity donation matching.
• Visa sponsorship is available, with immigration-lawyer support, although sponsorship cannot be guaranteed for every role or candidate.

Hiring process

• Applications are evaluated against role qualifications and internal job-level requirements.
• Candidates may use AI in the application process according to Anthropic's candidate AI usage policy.