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Head of Technical Training

Anthropic
Hybrid - San Francisco, CA, 3 days/weekUpdated 17h ago
Compensation
$310k–$360k
Published range · Top quartile for Other (21 listings)
Location
Hybrid - San Francisco, CA, 3 days/week
Remote eligibility
Employment
Full-time
Director+
Role family
Other
AI / ML
Apply on job-boards.greenhouse.io
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About the job

About the role

Anthropic is building a dedicated technical instruction function. As the first person whose full-time job is technical instruction, you will spend your first year primarily in the classroom teaching engineers, architects, and other technical practitioners. You will also build the people, standards, and systems to scale technical instruction beyond directly employed staff. This is a player-coach role: you manage a small bench of instructors, set the bar for readiness to teach, and assess facilitators from training partners. You report to the Head of Technical Enablement. The role is based in San Francisco with some travel expected.

Key responsibilities

  • Teach hands-on sessions to new Applied AI engineers, field teams, and partner cohorts, from 12-person labs to 100-person training days.
  • Hire and develop instructors and curriculum developers; decide contract renewals and recommend conversions to full-time.
  • Own the observation rubric, dry-run protocol, and cleared-to-teach process for every instructor-led technical session.
  • Set the bar for the Lead Technical Instructor's train-the-trainer program.
  • Turn internal experts' content into sessions and labs that work in a live room.
  • Staff other teams' programs with cleared instructors and own the quality of instruction inside them.
  • Report learner pass rates per instructor each month and act on them.

Minimum qualifications

  • 8+ years of relevant professional experience across software engineering, solutions engineering, developer advocacy, technical education, or related technical roles.
  • 4+ years of hands-on technical instruction, teaching engineers live and hands-on across audience sizes.
  • Production engineering: written and shipped production software, credible engagement with experienced engineers on architecture and debugging.
  • Recent hands-on AI development: built or debugged applications with LLM APIs, agent frameworks, tool use, MCP, or similar in the last three years.
  • People leadership: managed instructors, trainers, developer advocates, or solutions engineers, including hiring and performance management.
  • Instructor development: designed or run a train-the-trainer program, instructor certification, or observation framework.
  • San Francisco location: based in SF or willing to relocate with relocation support, in the office every day a program runs, 3 days in a normal week, and travel 25-30%.

Preferred qualifications

  • A portfolio of sessions taught and a rubric or certification designed.
  • Experience building an instruction or developer-education function from scratch.
  • Experience managing a contractor instructor bench or clearing instructors across regions from recordings or trained observers.
  • Daily use of Claude Code or a comparable agentic coding tool, or building on Claude through Amazon Bedrock, Google Vertex AI, or Microsoft Foundry.
  • Deep enthusiasm for AI and real care about building it responsibly.

Compensation & benefits

Annual salary: $310,000—$360,000 USD. Anthropic offers competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space.

Application instructions

Apply via the Greenhouse job posting. Anthropic encourages applications even if you do not meet every qualification. Recruiters only contact from @anthropic.com addresses.

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