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Technical Enablement Lead, Claude Platform

Job in New York, New York County, New York, 10261, USA
Listing for: Anthropic
Full Time position
Listed on 2026-07-15
Job specializations:
  • Software Development
    AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 270000 - 310000 USD Yearly USD 270000.00 310000.00 YEAR
Job Description & How to Apply Below
Location: New York

About Anthropic

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.

About the role

The Claude Platform ships fast, and every launch lands better when the field can understand it, demo it, and teach it.

You’ll own platform enablement end to end: the demos, hands‑on labs, and technical curriculum that let Anthropic's go‑to‑market teams showcase the Claude Developer Platform with confidence, whether they're building on Anthropic's first‑party API or through Bedrock, Vertex, and Foundry. You’ll join roadmap and launch planning with the product team before features ship, so the field has what it needs on day one.

You’re an engineer who teaches. You’ve shipped products to users. You know the difference between a demo that raises awareness and one that creates champions. And you get as much energy from watching a seller nail your lab as from building it yourself.

Key responsibilities
  • Turn launches into field‑ready content: Translate new platform capabilities (API, tool use and MCP, Agent SDK, memory and skills) into demos, labs, and quick‑reference guides within days of release, and build compelling demo scenarios across industries and developer personas.
  • Deliver training that sticks: Run Claude Platform training for technical onboarding and ongoing enablement programs, delivering hands‑on sessions wherever the field gathers, from a 12‑person lab to a 100‑person field‑readiness day.
  • Coach the field: Coach technical sellers on demo delivery through practice sessions and office hours.
  • Scale beyond the live session: Develop self‑service resources and experimental tools so the field can learn without you in the room, and contribute to the tooling that scales enablement, including demo environments, content‑freshness automation, and self‑service infrastructure.
  • Close the loop with product: Stress‑test new platform features before launch, then bring field signal back to product and product marketing on where sellers get stuck and what content would unlock the next deal.
  • Measure what lands: Track content usage and session feedback so you know what is working and what to retire.
Minimum requirements
  • Experience in a customer‑facing technical role, such as solutions architecture, sales engineering, developer relations, or technical enablement.
  • Experience writing production‑quality code and building technical demos.
  • Hands‑on experience building with LLM APIs and agents, including tool use, MCP, or agent frameworks, beyond prompting alone.
  • Experience using AI coding tools as part of your daily engineering work.
  • Experience delivering live technical training or talks to both technical and non‑technical audiences.
  • Experience partnering directly with sales, solutions engineering, or other go‑to‑market teams.
Preferred requirements
  • A portfolio you can show us: labs, courses, talks, or repos you built yourself.
  • Experience with Claude Code, or a comparable agentic coding tool, as core infrastructure in your daily work.
  • Experience building on the Claude Developer Platform through cloud providers such as Amazon Bedrock, Google Vertex AI, or Microsoft Foundry.
  • Experience as a technical founder, early startup employee, or 0‑to‑1 operator who has taken an idea to product‑market fit.
  • Public speaking, conference presentations, or community‑facing developer advocacy.
  • Experience building enablement tooling, such as demo environments, content‑freshness automation, or self‑service infrastructure.
  • Deep enthusiasm for AI and genuine care about building it responsibly.
Annual Salary

$270,000 — $310,000 USD

Logistics

Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience.

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience.

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position.

Location‑based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

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