Jobs Companies Clay Labs GTME Ecosystem - GTME & AI Teacher

À propos de ce poste GTME Ecosystem - GTME & AI Teacher chez Clay Labs

Clay Labs · Hybride · New York

About Clay

AI is unleashing the biggest wave of company creation in history. Clay's mission is to be the engine those companies use to grow to their full potential.

Clay predicts the next best action for your business and then helps you take it. We started by aggregating the best data for B2B companies. Then, we built the infrastructure to run any personalized campaign on top of it, including emails, ads, landing pages, and workflows that make reps more productive. Now, we're building agents that can help grow your company for you. We're already helping thousands of customers — including Anthropic, OpenAI, Google, and Visa — go to market with unique data, signals, and AI research.

In 2026, we raised a $115M Series D at $7.1B Valuation led by Wellington — and are on track to cross $200M in revenue this quarter. We also launched a $1M Scholarship fund for GTME Education.

Some things to know about us:

  • Our community includes 17,000+ customers, 200+ integration partners, 125+ agencies, 50+ Clay clubs, and 30k members on Slack.

  • Our culture is unique inside and outside of work. Our team members are also DJs, activists, writers, clowns, marathoners, skydivers, psychedelic therapists, social workers, and more.

  • All employees can work with world-class coaches who specialize in creativity, management, and more.

  • Our operating principles — including negative maintenance and non-attached action — guide our work. Read more about them here.

  • Read about us in the NYT, Forbes, First Round Review, and more.

Hear from our employees directly on our Glassdoor page!

About the GTME Ecosystem Content Creator role

Clay University is the core IP of the GTME Ecosystem — the definitive place where thousands of Go-to-Market Engineers (GTMEs) learn what good looks like. Courses, Looms, deep-dives, walkthroughs, screen recordings, and live builds — every piece of content we ship sets the bar for what AI-native GTM education looks like.

This role is the engine room. You'll be on-camera, behind the keyboard, and in the edit bay — making the content that the entire global GTME community learns from. You’ll end-to-end own:

  • On-camera production — being one of the faces and voices of Clay University, recording courses, lessons, and walkthroughs at the velocity AI demands

  • End-to-end content lifecycle — from curriculum prep, to recording, to screen captures, to handoff to editors

  • Live builds and scrappy formats — not just polished courses, but the looms, the "here's the mistake I made" moments, and the live problem-solving that makes our content actually stick

  • Coverage of new launches — when Functions, Audiences, Clay in ChatGPT, Clay in Claude, or whatever ships next, you're the one making sure GTMEs know how to use it within days, not weeks

  • Cross-functional content pickups — Solutions ships golden customer content, GTMOps pushes the edges, and Forward Deployed GTMEs build crazy tables. You'll translate that into University-grade content for the world

What You'll Do

  • Be a primary face of Clay University. You'll record courses, Looms, and walkthroughs that thousands of GTMEs watch every week. Your voice and your build style become part of how people learn the discipline.

  • Own full content lifecycle for the topics you take on. You'll prep the curriculum, record it, capture the screen flows, and hand off to editors — not throw a script over the wall and hope.

  • Ship at AI's pace. A new feature drops, a new model lands, a new use case emerges. You don't wait for a content cycle to align — you record, ship, iterate, and re-record when something better lands two weeks later.

  • Bring back the magic of the OG looms. Polished production is great, but live builds — "here's the mistake I just made and here's how I'm thinking about fixing it" — are what made early Clay content unforgettable. You'll make sure that energy stays in our content as we scale.

  • Translate cross-functional brilliance into content. Solutions, GTMOps, and Forward Deployed GTMEs build incredible things every day. You'll be in their workflows, pulling out the gold, and turning it into University-grade lessons.

  • Iterate on what resonates. You'll measure what lands, what doesn't, and use that signal to make every next piece sharper than the last.

Who You Are

  • A learner first, a teacher second. When a frontier model drops a new release, you're playing with it that evening. When a new Clay feature ships, you're already filming with it on day one.

  • Comfortable on-camera and in the edit bay. You don't need to be a polished YouTuber, but you're at home being recorded, riffing live, and re-takes don't drain you.

  • A builder who teaches by doing. Your default mode is "let me just show you in Clay" — not slides, not abstractions. Your best teaching happens with your hands on the keyboard.

  • Obsessed with shipping cadence. You know that a great walkthrough shipped this week beats a perfect one shipped next quarter. You'd rather record three scrappy lessons than over-produce one.

  • High taste on craft. Velocity matters, but so does the bar. You can tell the difference between a Loom that teaches and a Loom that wastes someone's time, and you hold yourself to the former.

  • Comfortable in ambiguity. GTM Engineering is an emerging discipline. There's no established playbook for what its content library should look like — you're excited to help build it.

  • Proven hunger, not just potential. You've already built a body of content somewhere — a YouTube channel, a course, a Loom library, a Substack with screen recordings, a portfolio of teaching content. You don't need someone to tell you to ship.

Who You Are Not

  • A scriptwriter who hates the camera. This role is on-camera. If recording yourself is something you tolerate rather than enjoy, the pace will burn you out.

  • A perfectionist who can't ship until it's flawless. Our content has to keep up with AI's pace. If you can't hit "publish" on a 90% Loom because you wanted 100%, the rhythm here will frustrate you.

  • A polish-only producer. This isn't only big, beautifully edited courses. Half the magic is in scrappy, in-the-moment builds. If you only love the polished side, you'll miss what makes our content special.

  • Someone who needs a tight script to feel safe. A lot of the best content comes from live builds where you're problem-solving in real time. If you can't riff, this won't work.

  • A creator without a learner's mindset. Great content here isn't just about production — it's about understanding the user's journey, what trips them up, and how to actually make it click. If you love the camera but not the curriculum, the work will feel hollow.

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Comment se compare ce salaire pour AI Tutor

Ce poste paie $157,500/yrau-dessus de la fourchette habituelle pour les postes AI Tutor.

$72,800 la médiane $72,800 $83,200

Fourchette typique $72,800–$72,800/yr, à partir de 31 annonces AI Tutor comparables sur JobsRadar (rémunération annualisée en USD). Voir les aperçus de salaire pour AI Tutor →

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