Growth Engineer for T2D3 OS

The architect of the systems that carry signal across marketing and sales.

The Engineer owns the GTM and RevOps systems that move signal across marketing and sales — enrichment, scoring, routing, enablement, and the CRM backbone underneath them. AI can stitch tools together and fire sequences; you're the one who decides what should connect, builds the quality gates that keep things clean as they scale, and turns raw signal into real, compounding leverage. The Scribe shapes the story and the Navigator sets the strategy — you build the systems both run on. In short: you love designing the machine, not waiting around for the next task.

And here's the best part — this is a real seat on a working pod, and it's built to grow. We hire for trajectory, not for a finished résumé, so you don't need to know everything on day one. Come in with curiosity, drive, and a sense of ownership, and we'll meet you wherever you are on the ladder below and grow together, teaching, pairing, and backing you the whole way.

The kind of teammate we're looking for

This is the heart of the role, so we want to be warm and upfront about it.

In our pod, you get to own real outcomes — not just the tasks that sit neatly inside your specialty. That's the fun part: you'll often pick up something a little beyond your current toolkit, and that's exactly where the growth happens. Owning an outcome doesn't mean knowing it all up front. It means you're the one steering, with the whole team — and a flex pod of specialists — ready to jump in and help you land it.

We love teammates who are resourceful and collaborative. When something's in the way, you go find the answer or the person who has it, and you keep a human eye on what the AI produces before it ships. You'd rather cut a noisy signal than pile on one more tool, because here, good judgment beats raw volume every time.

If that sounds energizing rather than daunting, you're going to feel right at home.

What you'd do

• Own the GTM/RevOps stack for the pod's accounts end to end — enrichment, signal scoring, routing, enablement, and the HubSpot/CRM backbone
• Build signal-based systems (intent scoring, enrichment waterfalls, routing) that connect straight to pipeline, not vanity dashboards
• Treat ICP, personas, and messaging rules as living infrastructure the AI consumes — kept locked in T2D3 OS, not scattered across docs and one-off LLM sessions
• Orchestrate AI agents through MCP so every output inherits who-it's-for and what-it's-for without drift, with a quick human review before anything reaches a rep or client
• Build the quality gates that catch bad data or weak signal early, before it scales
• Own the plumbing in your lane — HubSpot setup, forms, workflows, CTAs, DNS, ABM systems — bringing in specialist help when it speeds things up, while keeping the result yours

How it's different from a traditional seat

This is bigger than running campaigns or living inside a single tool. You own the systems that carry signal across the whole funnel, and you've got real room to shape them. You can pull in the flex pod for specialist work, and the outcome still belongs to you — that clarity is exactly what lets the pod move fast. And whenever you can build the system once instead of doing the task by hand forever, you go for it.

Where you might come from

RevOps and marketing-ops engineers, marketing-automation specialists ready to grow past a single tool, GTM and growth engineers, demand-gen ops, sales engineers, and technical marketers who'd rather build the systems that run go-to-market than run them by hand. Strong HubSpot/CRM, data, and automation instincts are what we value most — paired with a real appetite to keep learning.

You might be a fit if…

• You naturally ask "who is this signal for, and is it worth acting on?" before reaching for another tool or campaign
• You measure a good week in meetings booked and hours of busywork eliminated, not dashboards launched
• You enjoy owning outcomes, even when the work stretches past your specialty — you bring in help, and you see it through
• You don't need to know it all; you're genuinely excited to learn the next thing, and you keep a human check on what the AI gives you
• You're energized, not threatened, by an AI-native workflow with tools like Claude and MCP agents

The stack you'll work in

T2D3 OS is home base — it brings together signals, locked-in ICP and personas, OKRs, KPIs, and the projects and tasks that connect to them, plus the AI creation tools the pod builds on. Around it: HubSpot at the center of the CRM, forms, workflows, and website plumbing; enrichment, sequencing, and routing tools; DNS and domain setup; data analysis; and AI agents orchestrated via MCP, with Claude as a daily working environment. And a flex pod of specialists is always there to pull in when a task needs an extra set of hands.

How you grow as an Engineer

Designs, automates, and protects the systems that carry and amplify signal across marketing and sales. The Engineer is the Syntropy job family that turns signal into leverage. AI can stitch tools together and fire sequences; the Engineer decides what should be connected, builds the gates that keep clarity as you scale, and makes growth compound instead of crack. Thinks like an architect, not a campaign runner. Here's the path, whichever rung you join on.

A friendly note on the journey: a lot of engineers find the real unlock isn't sending more, faster — it's the judgment to know which signal deserves action and when to simplify. That's a muscle we help you build, and it's what opens up the next rung.

How to apply

We'd love to hear a real story or two. Tell us about a GTM or RevOps system you built, or a manual process you automated — what was getting messy, what you changed, and how you knew it worked (meetings booked, hours saved, errors caught). And if you have one, share a time you took on something new and made it happen: what you learned along the way, and who you leaned on to get there. We read for judgment and ownership, not buzzwords, and we reply to everyone who writes something real.