Clay

LeBron James has informed the Los Angeles Lakers that he will not return for the 2026-27 season and will instead become a Forward Deployed GTME.

You asked and we delivered. Clay tables just got a massive UI update.

Being a GTME at Clay is one of the hottest jobs in tech today. A selling point has been our low commission rate. You read that right. Here's why. Base commission rate (BCR) is what you earn per dollar closed. So you’d think a higher rate is a good thing. It’s not. On-target earnings (OTE) - what you get paid if you hit quota - at top companies are nearly identical. A lower BCR means quotas are higher… but since OTEs are often the same, the question is only whether you are more or less likely to beat quota, not how high it is. If you’re at the right company, the quotas are set for reps to consistently win. That’s the case at Clay - we want more than 60% of the team hitting quota, and have teammates doubling and tripling attainment and running up accelerators. The higher quota is a signal: the company and team are winning, and there are plenty of deals to go get. OpenAI reportedly runs $10M+ quotas in some segments. If they paid variable comp, the rate would be the smallest the industry has ever seen, because the product is so on fire that you can effectively pick up the phone and close a sale. The low rate reflects the size of the opportunity. Now flip it. The sleepy company paying 20 cents on the dollar? That high rate exists because nobody wants the product. Even the best reps in the world can't overachieve quota in a market that isn't there. Your upside isn't in your control. Think about it like choosing a team. You'll make a similar base salary whether you’re an analyst at Bank X or Goldman Sachs… but at Goldman, the bar is higher because the deal flow is there, and you’ll have a better chance to excel and get that big bonus and compound your career. Chase the role where you can win. Counterintuitively, the company with low BCRs might signal where winning is the norm. It's a bet on momentum and the platform, and that’s what actually makes a big number attainable.

We're entering a Weirdly Dense Shipping Window™️ Follow 2 follow along. xoxo the gtm systems company 🌈🫶✨🩵🌼

Anthropic, Amazon Web Services (AWS), and us put together a room full of GTM operators and reps in SF for an MCP Hackathon -- to build just that. 17 companies showed up to rethink the work that happens before every great sales conversation: prospecting, pre-call prep, account context, signal surfacing, and insight briefs. The strongest systems had the same idea: package what your best sellers already do, make it repeatable for the rest of the team, and keep operators in control. HAGS (have a great system)

5 things on the new clay.com homepage worth a lil scroll: 1. An oddly satisfying Rube Goldberg machine as a metaphor for the perfect GTM system (data, agents, orchestration, and execution as one connected motion) 2. The BALL PIT!!!!!!! 3. A proof parade from Anthropic, Google, OpenAI, Notion, and many more customers 4. Studio interviews from teams growing with Clay 5. A place to dream up your next GTM play and start building it 🫶🩵

Clay is #6 on Emergence’s YTD May 2026 Enterprise AI tools Leaderboard!!!! According to Emergence, enterprise teams are getting more selective. And the AI tools earning budget are the ones solving a specific problem well enough to become part of the OS. For Clay, that problem is GTM infrastructure (data, orchestration, execution, and agents). Helping GTM teams turn messy market data into workflows reps can actually use. WE LOVE THIS PROBLEM. 💛 It's dope to see Clay on the list right next to a bunch of friends, customers, and partners like Anthropic, OpenAI, Cursor, xAI, Lovable, Ashby, ElevenLabs, Granola, and more. Even doper to be the only logo on the list with color. Very. On. Brand. 🌈 lol

＿＿＿＿＿＿＿＿＿＿＿＿＿＿＿ | let's talk about agents in GTM | |＿＿＿＿＿＿＿＿＿＿＿_＿＿＿| (╯°□°)╯ Two years ago, we coined the term GTM engineer, the person who automates the manual work nobody on a GTM team wants to touch. The role exploded. For a while, being a good GTME meant having the best tools. But that changed. Everybody has the same tools now, the same data, the same models. The tools aren't the edge anymore. The system is -- and that system is the layer we built Clay to be. Every GTM system is built from the same four blocks. The first three are table stakes: 1️⃣ Data: the foundation everything runs on 2️⃣ Orchestration: moving and cleaning it so it's actually usable 3️⃣ Execution: turning it into the thing a person or a channel sees The crème de la crème of GTM teams are adding a layer on top: 4️⃣ Agents For years, blocks 1–3 only fired when a person wrote the rule. If this signal fires, send this message -- if x, then y. Someone had to decide every trigger in advance. An agent doesn't need the rule. You give it a goal and it figures out what to do, when, and for which accounts on its own. And when the agent gets smarter, everything underneath it gets smarter too. Nobody rewrites the workflow. The gap between teams just using individual tools to save time, vs. teams building systems that compound is widening. Read more about our positioning → clay.link/ZhWsrIu

𝗡𝗘𝗪: Clay Audiences turns the data you already own into enriched lists your team can act on. Here are the first 5 worth building 👇 Nonchalant reminder: no more breaking big searches into 50,000-row chunks. Inside: 1️⃣ Champion job changers 2️⃣ White space accounts 3️⃣ Buying committee gaps 4️⃣ Recently funded ICP accounts 5️⃣ High web intent accounts See how Audiences differs from regular Clay tables: clay.link/u7eugVK