Lead Technical Instructor

About the role

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.

What you’ll do

• Deliver hands-on technical instruction across Anthropic’s onboarding, residency, and technical enablement programs, in person in New York and remotely across European time zones.
• Model excellent technical teaching for audiences ranging from small, interactive labs to 100+ technical practitioners, adapting to different levels of experience and technical depth.
• Run train-the-trainer programs for internal experts, contract instructors, and training partners, using Anthropic’s practice-teach, feedback, and certification processes.
• Coach and calibrate instructors through live and recorded observations, actionable feedback, and recommendations on readiness to teach specific content.
• Partner with technical experts to turn subject matter expertise into effective sessions, labs, exercises, and demonstrations, and improve content based on what happens in the room.
• Own instructional quality in assigned programs, staffing yourself and cleared instructors into East Coast program calendars and ensuring delivery meets Anthropic’s standards.
• Use learner and instructor data to identify gaps in instruction and recommend improvements to curriculum, delivery, and instructor development.
• Help evolve Anthropic’s technical instruction function, bringing your experience from the room into our standards, instructor development practices, and approach to scaling quality.

What they’re looking for

Select a requirement to inspect fit, evidence or application context.

• 6+ years of relevant professional experience across software engineering, solutions engineering, developer advocacy, technical education, or another technically deep role.
• 3+ years of hands-on technical instruction, including teaching engineers in live environments both in person and remotely. You know how to make difficult technical concepts click and how to adapt when they do not.
• Production engineering experience. You have written and shipped production software and can engage credibly with experienced engineers on architecture, implementation, debugging, and technical tradeoffs.
• Recent hands-on AI development. Within the past three years, you have built or debugged applications using LLM APIs, agents, tool use, MCP, or related technologies. You are comfortable with rapidly changing AI development tools and unfamiliar technical problems.
• Instructor development experience. You have helped other instructors or technical presenters improve through observation, structured feedback, practice teaching, or train-the-trainer programs.
• New York City location or willingness to relocate. You will work from our NYC office whenever an instructor-led program is in session there, typically around three days per week. The role includes approximately 25% travel to San Francisco and, over time, Europe.
• A field relevant to the role as demonstrated through coursework, training, or professional experience

Helpful, not always essential

• Experience designing or operating a train-the-trainer, instructor certification, or observer-calibration program.
• A portfolio of sessions, labs, or courses you have designed and taught, plus material you created so others could teach it.
• Experience teaching across time zones or to European audiences, including coaching instructors from recorded sessions.
• Experience using Claude Code or a comparable agentic coding tool as a significant part of your engineering workflow.
• Experience building with the Claude Developer Platform through Amazon Bedrock, Google Vertex AI, Microsoft Foundry, or comparable infrastructure.
• Experience with public speaking, conference workshops, or developer advocacy.
• Deep enthusiasm for AI and a genuine commitment to building and deploying it responsibly.
• The annual compensation range for this role is listed below.
• For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
• Annual Salary:
• $1—$2 USD