Technical Enablement Lead, Claude Platform

United States Digital Space LLC; San Francisco (CA); Hybrid; USD 270,000 - 310,000; Full time

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.

Skills

Customer-facing technical role

Production-quality code & demos

LLM APIs & agent frameworks

AI coding tools experience

Live technical training

Sales/ GTM collaboration

Education

Bachelor's degree or equivalent

Job description

About the company

the company’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 the company's go‑to‑market teams showcase the Claude Developer Platform with confidence, whether they're building on the company'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

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

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.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Your safety matters to us. To protect yourself from potential scams, remember that the company recruiters only contact you from@the company.comemail addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of the company. Be cautious of emails from other domains. Legitimate the company recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit the company.com/careers directly for confirmed position openings.

How we're different

We believe that the highest‑impact AI research will be big science. At the company 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 b