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Lead Technical Instructor

Menlo Ventures Portfolio

New York, NY · full time · Lead / Staff / Principal

$270,000 – $365,000

Listed on Menlo Ventures Portfolio’s own careers site. You apply with them directly — we never stand between you and the employer.

What this role is

Anthropic seeks an engineer with deep technical expertise and teaching experience to lead hands-on instruction for their AI development programs, spending roughly half the time delivering live technical courses and half developing other instructors and improving teaching standards across the organization. This role suits someone who codes fluently, debugs systems under pressure, and has the rare ability to both teach complex concepts clearly and coach other teachers to improve.

Our summary, not Menlo Ventures Portfolio’s wording. The full posting is on their site.

Skills this role names

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What they ask for

Required

  • 6+ years in software engineering, solutions engineering, developer advocacy, or technical education
  • 3+ years of hands-on technical instruction in live in-person and remote environments
  • Production software engineering experience with ability to discuss architecture, implementation, and debugging
  • Recent hands-on AI development within the past 3 years using LLM APIs, agents, tools, or MCP
  • Experience helping other instructors improve through feedback, observation, or train-the-trainer programs
  • Based in or willing to relocate to New York City
  • Willing to travel approximately 25% to San Francisco and eventually Europe

Nice to have

  • Experience designing or operating train-the-trainer or instructor certification programs
  • Portfolio of designed and taught sessions, labs, or courses
  • Experience teaching across time zones or to European audiences
  • Claude Code or comparable agentic coding tool as significant part of engineering workflow
  • Experience building with Claude through Bedrock, Vertex AI, Microsoft Foundry, or similar
  • Public speaking, conference workshop, or developer advocacy experience
  • Deep enthusiasm for AI and commitment to responsible deployment

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