The opportunity
Anthropic’s engineers are building some of the most ambitious AI systems and applications in the world. We also help engineers, architects, and technical practitioners across Anthropic, our partners, and our customers learn to build with Claude.
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.
What they're looking for
- 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.
