GTM Engineer (HubSpot & AI Workflows)

Our engineering organisation builds systems that eliminate unnecessary complexity. We want our go-to-market organisation to work the same way.

Syntasso builds Kratix, an open-source framework that helps organisations design and run internal developer platforms at scale. Syntasso Kratix Enterprise and Syntasso Kratix Agentic are how we take that to production for platform teams standardising their capabilities, and for organisations operationalising AI agents.

Our go-to-market is growing. We have sales, marketing, and customer success. We have customers, pipeline, and momentum.

What we don't yet have is someone who sits at the intersection of all three and asks: where is the manual effort that should be a workflow? Where is information siloed that should be flowing? Where are our AI tools being used tactically when they could be used systematically?

That's the role.

You'll treat our go-to-market organisation as a product: understanding how it works today, redesigning it where necessary, and building the systems that allow it to scale without adding unnecessary process or headcount. You'll constantly experiment with new AI capabilities, but you'll judge success by measurable business outcomes rather than shiny technology.

You'll be embedded in the GTM function, working across sales, marketing, and customer success as the person who owns how we use HubSpot and Aurasell and builds the workflows around them that make the whole machine smarter.

You'll own our CRM and sales tooling, shape their data structure, and make them the single source of GTM truth for a team that's growing fast. Beyond that, you'll connect the wider tooling — Reo.dev, Ahrefs, GA4, and others — and know when to introduce something new and when the answer is just to use what you already have better.

In practice, that means:

• Automating how we generate and qualify leads: less manual toil and triage, more high-quality contacts and signal
• Building enrichment and sequencing workflows that free the sales team up for conversations that convert to opportunities
• Designing outbound ABM workflows that scale without scaling headcount
• Creating the connective tissue between marketing, sales, and CS so information flows instead of stagnating
• Evaluating where AI creates genuine leverage and where improving a process matters more than adding a tool
  
  

You'll report to Daniel, our Head of Product Marketing, with a direct line to the founders.

• You know a CRM properly. Not just the basics. You've owned HubSpot, Salesforce, etc, shaped it for a team's actual needs, and know what good looks like. Everything else in our stack flows from this.
• You think in systems. When you encounter a manual process, your instinct is to understand why it exists and whether there's a better way. You're looking for bottlenecks, duplication, and unnecessary complexity before anyone asks you to.
• You're comfortable building things. You've used tools like Clay, n8n, Make, Zapier, and similar tools. You're not precious about which tools you use; you pick what's right for the problem.  You don't need to be a software engineer, but you should be comfortable building small applications, scripts, or workflow automations using modern AI coding tools such as Claude Code, Codex, Cursor, or similar.
• You understand GTM. You know what a sales cycle looks like. You're familiar enough with frameworks like MKT1 and BANT/MEDDPICC to have opinions about what good looks like, even if you're not running the playbook yourself.

• HubSpot + Aurasell operating as the single source of GTM truth — enriched, complete, and trusted
• Outbound ABM workflows are largely automated
• Inbound lead qualification is largely automated
• Marketing, sales, and CS operating from shared systems and workflows
• Significant reduction in manual GTM effort across the business
  
  

We're pre-Series A, well-funded, with a product that has genuine traction and a market that's accelerating. That means real ownership, real impact, and the kind of variety you don't get when everything is already figured out.

We work in the open. Priorities are visible, decisions are explained, and you'll always know where the company is going and why. We value co-located collaboration and have a London Bridge office where the team meet 1-3 times a week. We pair, we retrospect, and we take learning seriously — Research Fridays every other week exist because we think making space for curiosity makes us better at everything else.

1. Introduction — A conversation with Rekha (that's me, your recruiter) to talk through the role, your background, and whether this feels like a mutual fit.

We'll give you feedback at every stage, and we'll move at whatever pace works for you.

We believe diverse teams build better products and better companies. We welcome people from all backgrounds and experiences. If you're excited about what we're building but aren't sure you tick every box — please apply.