Lead Technical Instructor (AI)

Location: New York City, NY, or willingness to relocate to New York. Hybrid role with work from the NYC office whenever instructor-led programs are in session, typically around three days per week. Includes approximately 25% travel to San Francisco and, over time, Europe.

Annual salary: $270,000–$365,000 USD

Company

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

What you will do

• Deliver hands-on technical instruction for onboarding, residency, and technical enablement programs in person and remotely.
• Teach technical practitioners in interactive labs and larger sessions, adapting to different levels of experience and technical depth.
• Run train-the-trainer programs for internal experts, contract instructors, and training partners.
• Coach and calibrate instructors through live and recorded observations, structured feedback, and certification processes.
• Partner with technical experts to create and improve sessions, labs, exercises, and demonstrations.
• Own instructional quality, staffing, program delivery, and data-driven improvements across assigned programs.

Requirements

• 6+ years of relevant experience in software engineering, solutions engineering, developer advocacy, technical education, or another technically deep role.
• 3+ years of hands-on technical instruction for engineers in live, in-person, and remote environments.
• Production engineering experience with shipped software and the ability to discuss architecture, implementation, debugging, and technical trade-offs.
• Recent hands-on AI development using LLM APIs, agents, tool use, MCP, or related technologies.
• Experience improving other instructors or technical presenters through observation, structured feedback, practice teaching, or train-the-trainer programs.
• Must be located in New York City or willing to relocate; regular NYC office attendance is required.

Nice to have

• Experience with instructor certification, observer calibration, or train-the-trainer programs.
• Portfolio of designed and delivered sessions, labs, courses, and reusable teaching materials.
• Experience teaching across time zones or to European audiences.
• Experience with Claude Code or comparable agentic coding tools.
• Experience with the Claude Developer Platform through Amazon Bedrock, Google Vertex AI, Microsoft Foundry, or comparable infrastructure.

Culture & Benefits

• Collaborative work on large-scale efforts focused on trustworthy and steerable AI.
• Flexible working hours and a location-based hybrid policy.
• Competitive compensation, optional equity donation matching, generous vacation, and parental leave.
• Visa sponsorship is available, with immigration lawyer support, subject to role and candidate eligibility.
• Office environment designed for collaboration.