Thank you so much! Abdul S.
Hi everyone - I’d love your opinion on the best setup for this in Clay.
I’m currently building a weekly account-prioritization workflow for our Sales team focused on ICP accounts. The idea is to combine firmographic data with signals like hiring, news, and fundraising, then use AI scoring to identify which accounts should be prioritized each week.
Right now, I have a main company table enriched with things like employee count, industry, description, country, locality, size, and LinkedIn URL. I then added signals via Tools, but as you can see in the screenshot, those signals are running into separate tables - which I honestly don’t fully understand.
Would it make more sense to use lookups from those signal tables back into the main table for the AI scoring, or is there a better way to keep the signals directly in the main table? And is there any way to change the setup so the signals don’t run into separate tables in the first place?
My goal is to keep this as low-manual-effort as possible. As a next step, I’d also like to build a small dashboard with Lovable + Clay Code to review these accounts weekly with Sales.
Would love to hear how you’d approach this.
Hey Clay friends - I think I accidentally backed into Go-to-Market Engineering before I even knew it was a real career path. A bit about me: I studied Marketing & Digital Media, have always been obsessed with whatever felt “next,” and even wrote my bachelor’s thesis on the metaverse… which, in hindsight, was a very specific moment in time. 😅 My background is in digital marketing, and I now work as an EMEA Marketing Specialist at a software company, where I collaborate closely with Sales. Through that, I started using tools like Clay and quickly realized this is the kind of work that makes my brain light up: enriching data, identifying ICP fit, spotting useful signals, and helping build more targeted, automated outreach. At some point I discovered there’s actually a name for this mix of strategy, systems, data, and execution: Go-to-Market Engineer. And that was a bit of a moment for me, because I realized I already have some of the skills for it - but I also know that “having some skills” and becoming really good at it are two very different things. So I’d love some honest advice from people who are further along:
What do I absolutely need to learn if I want to become genuinely strong in this space?
What separates someone who “uses Clay well” from someone who is truly great at GTM Engineering?
And are there any learning resources, communities, or programs you’d actually recommend beyond the usual free content and Clay cohorts?
For example, I came across GTM Engineer School https://gtme-school.com/CourseDetails?id=69937afb31d9937d18821c83 and I’m curious whether programs like that are actually worth it - or whether I’d be better off just building projects, learning in public, and using the endless amount of free content out there. My instinct is that the fastest path is probably doing real projects with a clear goal, but I’d love to hear what kinds of projects helped you level up the most. Would really appreciate your honest takes, hard truths, or underrated tips.
Depends what you need it for tbh. If you want the actual sending infrastructure / API, I’d probably look at Twilio first for SMS + WhatsApp. If you want more of a shared inbox / automation / CRM workflow setup for a team, respond.io is worth a look. Main thing with WhatsApp though: it’s not really ideal for true cold outreach the same way SMS can be, because opt-in matters a lot more there. So my take would be: Twilio = infrastructure respond.io = workflow layer

