Clay

Grow anything. Build on Clay.

[Clay @clay]

@Clay just raised a $115M Series D at a $7.1B valuation.

Now, more than 17,000 teams build on Clay, including Anthropic, SpaceXAI, Google, OpenAI, Stripe, Visa, UPS — and 80% of the Forbes AI50.

@nytimes just broke the news, but the story goes far beyond the raise. AI is unleashing the biggest wave of company creation in history. Clay’s goal is to be the engine they use to grow.

Clay is a self-learning revenue engine that figures out the best GTM play for your company, then runs it.

We started as the company with the best data about other companies. Then we became the infrastructure to run campaigns across email, ads, and landing pages.

Now we’re building agents that learn from every campaign, predict the next best action, and get better each time they run.

Software engineers use coding agents to write code. GTM engineers now use growth agents to autonomously grow their companies.

In 2023, we introduced GTME as a new role for people creating revenue systems with data, automation, and AI. Two years later, thousands of GTMEs are growing the world's best companies. They are gathering in nearly 100 Clay Clubs around the world, from Bangalore to Boston and Lahore to Lisbon.

That’s why we’re proud to launch a $1M scholarship fund, helping more people enter the profession.

@Wellington_Mgmt led our Series D, with participation from @sequoia, @stepstonegroup, @a16z Perennial, @MeritechCapital, DST Global, @CapitalG, @BoxGroup, @boldstartvc, @BloombergBeta, and @EvolutionEquity.

A gracious thank you goes out to our customers, community, partners, team, and every GTM engineer shaping this with us.

We are going to unveil the future of Agentic GTM at SCULPT on October 8.

Stay tuned to see how to use AI to grow every company.

🖤🩵❤️💛

[Clay @clay]

@shaw_gtm let us know if you need anything. have you tried it in the CLI?

[Clay @clay]

@MitcheIl @cluely @AnthropicAI @higgsfield_ai @NotionHQ @Beast @sandbar @slashapp @tryramp @trymelius @grok remind me to come back to this in 1 month and ask for updated ranking

[Clay @clay]

@Awesome_O_AI thanks awesome-o <3

[Clay @clay]

- 179% more meetings booked in 90 days.
- 75% less workflow build time, freeing 60–80 hours/week.
- 12 million emails/month across client campaigns.
- 500,000 CRM records processed for one client.
- 50% more qualified opportunities for one client.
- 50% higher meeting-booking rate.
- 20 hours/week saved on client rep research.
- 100+ hours saved on manual enrichment.

https://t.co/p8boKLECyQ

[Josh Whitfield @joshwhitfieldai]

Pretty proud of this one. Being featured alongside Clay's customers in a case study is so huge. Thank you @clay

https://t.co/yHGRSqOVdb

[Clay @clay]

@gcockfoster see yall at shake shack

[Clay @clay]

how can you not be romantic about New York City?????????

DO NOT mess with our security guard

[Clay @clay]

@N_Sportelli @OpenAI god forbid a girl gets a little crazy in Helsinki

[Clay @clay]

we got AI agent super smash bros before GTA VI

[Bhaumik @patel0phone]

What if you could play smash with the kirby-like AI mascots?

Pls have fun before i get sued => https://t.co/p6mnvBq143

[Clay @clay]

@isaac_akrouche Fair! We just wrote an article about how to hire a GTM engineer: https://t.co/z3ZKgC7Hhk

[Clay @clay]

We coined the GTM engineer job title in 2023. Three years later, here’s our updated hiring guide, with interview questions, take-home ideas and compensation benchmarks. ↓ https://t.co/HryVHA6gCj

[Clay @clay]

How to hire a GTM engineer:

DON'T:

> Hire just because you raised a round.
> Open the role without knowing what they’ll own.
> Require a CS degree or prior Clay experience.
> Let a slick demo do all the talking.
> Price every GTME like a RevOps hire.

DO:

[Clay @clay]

We coined the GTM engineer job title in 2023. Three years later, here’s our updated hiring guide, with interview questions, take-home ideas and compensation benchmarks. ↓ https://t.co/HryVHA6gCj

[Bhaumik @patel0phone]

My roommate @yash_tek became the first GTM engineer in 2023. The role has evolved a ton since (agents) and so has @Clay's playbook for hiring them.

We made that public today. Here's my breakdown 👇

https://t.co/AoGpc5yXCe

[Clay @clay]

We coined the GTM engineer job title in 2023. Three years later, here’s our updated hiring guide, with interview questions, take-home ideas and compensation benchmarks. ↓ https://t.co/HryVHA6gCj

[Clay @clay]

@CabotTCroll free clay trial perhaps https://t.co/HMEVtxMUPD

[Payton @paytonkirol]

I spent 24 hours inside @stripe and got first-look access into their internal AI hub called Orbit.

Full video is out now on my YouTube channel: https://t.co/UKcVte1l7R

[Jake @Jakemblock]

How to make an event video at @clay:

>strap a Sony DCR-VX2100 Super SteadyShot Handycam to your studio and social leads
>do not turn off the camera
>i repeat, do not turn off the camera
>sprint eight blocks to catch the train
>catch sunset happy hour
>drink too much at sunset happy hour
>ask your coworkers what they’d tell themselves 10 years from now
>overthink everything
> get too vulnerable for a b2b saas event video recap
confess sorrow to a fresh Massachusetts lobster
> stay up talking by the fire
> rave every night
> wake up questioning what day it is
> come full circle
> get over fear of connection
> ship 72 hours of raw footage to editors
> tell them “nostalgic family vacation”
wait 1 business day

post

[Clay @clay]

i think this GTM stuff is getting pretty serious

[Eric Nowoslawski @ENowoslawski]

For our outbound email, we only use AI to generate two or three words or half a sentence at most for our custom variables. Anything els

The rules we give it every time are thingsl ike

- A list of words it's never allowed to say. Synergy. Impressive. A bunch more.
- Communicate at a 5th grade reading level.
- reference the customer's website context without using jargon
- etc

That's how we stay in control across millions of outputs.

But with models like Haiku 5.5 and Luna 6 being so cheap and smart, I finally think AI is probably good enough to write the whole message 1:1.

If AI-written emails aren't working for you, it's usually not the model. You didn't do enough upfront work tuning the prompt.

I'm testing full AI-written emails next, and I expect to read about 300 of them and fix what I don't like before the prompt is right.

The irony of having AI speed up this workflow is I think it's going to take a ton of upfront effort to review and fix before it really nails it.