AI Platform Enablement Lead

United States Digital Space LLC

San Francisco (CA)

Hybrid

USD 270,000 - 310,000

Full time

14 days+

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Job summary

United States Digital Space LLC seeks an engineer who teaches to empower field teams with demos, labs, and technical curriculums for the Claude Platform. You will own enablement end to end, from demos and labs to self‑service resources, coordinating with product and GTM teams.

You have shipped user‑facing demos, run technical training, and can translate platform capabilities into actionable content for technical sellers and field engineers. This is a hybrid role based in San Francisco.

Qualifications

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.

Responsibilities

Turn launches into field‑ready content: Translate new platform capabilities 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.
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.
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.