Head of Technical Training

About the Position

We are seeking a Head of Technical Training to join Anthropic, a company dedicated to creating reliable, interpretable, and steerable AI systems. You will be the first person at Anthropic whose full-time job is technical instruction. This role is based in San Francisco with some travel expected.

About the Role

At Anthropic, technical instruction is a shared responsibility, but as demand grows, we need to turn that distributed expertise into a dedicated technical instruction function. You will build that function, manage a small bench of instructors, and set the bar for what "ready to teach" means. You will also build the people, standards, and systems that let Anthropic's technical instruction scale far beyond the people we directly employ.

Responsibilities

• Lead from the front. Teach hands-on sessions to new Applied AI engineers, our field teams, and partner cohorts, in rooms from 12-person labs to 100-person training days.
• Build the instructor bench. Hire and develop instructors and curriculum developers. Decide contract renewals, and recommend conversions to full-time, against criteria you define.
• Set the quality bar. Own the observation rubric, dry-run protocol, and cleared-to-teach process for every instructor-led technical session.
• Scale through train-the-trainer. Set the bar the Lead Technical Instructor's train-the-trainer program teaches to, for internal experts, contract instructors, and partner facilitators.
• Turn expertise into instruction. Turn internal experts' content into sessions and labs that work in a live room.
• Enable programs without owning them. Staff other teams' programs with cleared instructors, and own the quality of instruction inside them.
• Measure and improve. Report learner pass rates per instructor each month, and act on them.

Requirements

• 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. You have taught engineers live and hands-on, across audience sizes.
• Production engineering. You have written and shipped production software and engage credibly with experienced engineers on architecture and debugging.
• Recent hands-on AI development. In your last three years of work, you have built or debugged applications with LLM APIs, agent frameworks, tool use, MCP, or similar.
• People leadership. You have managed instructors, trainers, developer advocates, or solutions engineers, including hiring and performance management, and kept teaching.
• Instructor development. You have designed or run a train-the-trainer program, instructor certification, or observation framework.
• San Francisco location. You are based in San Francisco or willing to relocate with our relocation support, can be in the office every day a program runs, 3 days in a normal week, and can travel 25 to 30 percent.

Preferred Qualifications

• A portfolio of sessions you taught and a rubric or certification you designed, shared only if you have the right.
• 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.

We Offer

• Competitive salary: $365,000 - $435,000 USD
• Hybrid work location policy
• Visa sponsorship available

About the Company

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.

How We're Different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact - advancing our long-term goals of steerable, trustworthy AI - rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

Come Work with Us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.

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