GTM Enablement Trainer, Claude Products

WinsAbove; San Francisco, Northern (CA, KY); Hybrid; USD 190,000 - 270,000; Full time

Job summary

Anthropic is seeking a GTM Enablement Trainer, Claude Products, to teach our global field org how to use Claude and position it credibly with customers. You’ll enable field teams to be power users and to run credible technical conversations with buyers.

You’ll partner with Product and Applied AI, shape enablement investments, and craft certification paths. A strong mix of technical credibility and sales fluency is required.

Qualifications

• Experience bridging sales and technical audiences (solutions engineering, sales engineering, enablement, product marketing, or tech account management).
• Hands-on use of AI assistants and agentic tools in real-world workflows.
• Working knowledge of how LLM products operate (prompting, context, tools, APIs) for live demos.
• Experience turning complex technical products into enablement content such as scripts or guides.
• Experience writing and presenting technical material for audiences with varying depths.

Responsibilities

• Own product enablement for the global field organization, including new launches and roadmap alignment.
• Build programs that make sellers expert users of Claude in daily work.
• Create enablement to position products with technical and business buyers, including demos.
• Partner with Product, Product Marketing, and Applied AI for early visibility into shipping surfaces.
• Anticipate new surface needs and argue for enablement investment pre-launch.
• Develop and maintain a product certification path for core products.
• Create high-quality enablement content: demo scripts, talk tracks, guides, and competitive positioning.
• Establish feedback loops carrying field and customer signals back to Product/Marketing.

Skills

Sales-technical bridge

AI tools usage

LLM product knowledge

Live demos

Content creation

Education

Bachelor’s degree

Tools

Claude

Claude Code

Job description

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

As the GTM Enablement Trainer, Claude Products, you'll teach Anthropic's global field organization how to use our products, both to do their own work better and to position Claude credibly with customers. Anthropic ships quickly, and the surface area of what we build is growing faster than any individual seller can track. The job has two halves. The first is enabling our own people to be power users of Claude, so the field is the most sophisticated user of the product we sell. The second is enabling them to position it: to run a credible technical conversation with a customer, anticipate the hard questions, and hold their own with a technical buyer.

The best person in this role sees around corners. You won't wait for a launch to be announced before you start building enablement for it. You'll be embedded enough with Product and Applied AI to know what's coming, and opinionated enough to say which surfaces need real enablement investment and which don't. You'll need enough technical credibility to earn the respect of engineers and enough commercial fluency to earn the respect of sellers. You should also find more energy in enabling people to use what we build than in building it yourself.

Key responsibilities:

• Own product enablement for the global field organization, spanning new launches, existing capabilities, and the product roadmap ahead
• Build the programs that make Anthropic sellers genuinely expert users of Claude in their own daily work
• Create enablement that equips the field to position our products with technical and business buyers, including demo readiness, objection handling, and competitive framing
• Partner closely with Product, Product Marketing, and Applied AI to get early visibility into what is shipping and to shape how it reaches the field
• Anticipate which new product surfaces will require significant enablement investment, and make the case for that investment before launch
• Build and maintain the product certification path that credentials sellers on our core products
• Create high-quality enablement content including demo scripts, technical talk tracks, solution guides, and competitive positioning material
• Establish feedback loops that carry field and customer signal about product gaps back to Product and Product Marketing

Minimum qualifications:

• Experience bridging sales and technical audiences in a role such as solutions engineering, sales engineering, technical enablement, product marketing, or technical account management
• Hands-on, regular use of AI assistants and agentic tools (e.g., Claude, Claude Code) in your own real-world workflows
• Working technical knowledge of how LLM products work (e.g., prompting, context, tool use, APIs), enough to demo them live and field technical questions from engineering buyers
• Experience turning complex, fast-moving technical products into enablement content such as demo scripts, technical talk tracks, solution guides, or training curricula
• Experience writing and presenting technical material for audiences with very different levels of technical depth

Preferred qualifications

• Hands-on experience building with LLM APIs, agentic frameworks, or developer tooling
• Experience owning launch readiness for a technical product across a global field organization
• Prior experience as a solutions engineer or sales engineer carrying a technical win
• Experience building technical certification programs
• A track record of shipping enablement content that the field actually uses
• Experience partnering with Product or Product Marketing to prepare a field team ahead of launch, not after it
• Experience building programs from 0 to 1 in fast-paced, ambiguous environments

The annual compensation range for this role is listed below.

Annual Salary: $190,000—$270,000 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.

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.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

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. Guidance on Candidates' AI Usage:Learn about our policy for using AI in our application process.