At Xelix, we work with some of the world's largest companies to automate and strengthen their financial controls. Our AI solutions redefine how Accounts Payable teams operate - moving from manual processes to automated, intelligent workflows.
Xelix is a fast paced scale up - things move fast and expectations are high. We raised our Series B with Insight Partners in June 2025 and are expanding aggressively, whilst remaining profitable. We have over 100 talented people pulling together to achieve our goals. Everyone is trusted to take ownership, move fast and have a meaningful impact. We prioritise personal and professional growth, keep things fun & we love to celebrate a milestone together.
In this role you'll grow, be challenged and help shape the future of Xelix. If you're excited about building something special with us, we'd love to hear from you.
About the roleWe're hiring a GTM Engineer to architect and build the systems that power our commercial organisation. This is a senior individual contributor role for someone who thinks in systems and data. You build for scale and treat manual work as a problem to be solved, not a task to be done.
You'll own the design and implementation of GTM infrastructure across our commercial stack: HubSpot, Gong, Outreach, our enrichment tools, and the AI tooling we're increasingly weaving into how we sell. You'll partner with the Sales leaders, Head of Revenue Operations to set technical direction, and work alongside our RevOps Analyst and Sales Enablement Manager to deliver outcomes.
The brief is straightforward: anything that is consuming significant time by our commercial teams (SDR, AE and Account Management) should be automated if possible. Anything that requires judgement should be augmented with the best tooling available. Sales should spend their time selling.
This role exists because we want to build operating leverage and give our commercial team superpowers through automation and AI. If you've been waiting for a role where the mandate is "build it properly," this is it.
What you'll be doingBuild commercial infrastructure that scales. Design and implement workflows in HubSpot and across our wider stack that handle routing, scoring, enrichment, lifecycle management, and handoffs without manual intervention. Replace bespoke one off work with templated, repeatable systems. Level up the solution architecture capabilities across the team.
Own the enrichment and data quality layer. Take ownership of our enrichment stack (currently ZoomInfo, LinkedIn Sales Navigator, and with planned additions potentially including other tools such as Clay or CommonRoom). Build pipelines that produce clean, accurate, fit scored data. Set the standard for what good data looks like at Xelix.
Automate reporting. Templatise it and build dashboards and models that require minimal manual updating.
Build AI augmented workflows. Our investors and leadership are bullish on AI, and so are we. You'll prototype and deploy AI agents and LLM powered tooling for tasks like lead qualification, account research, RFP response, call analysis, and content generation. You'll have latitude to experiment, but production deployments need to be reliable, secure, and measurably better than what they replace.
Level up our technical capabilities. Work with other members of the team to level up their technical sophistication and help them design and deploy effective processes.
What you'll bringYou probably won't have done all of these, but you should have done most:
Technical depth (at least one of these):
We believe that people from diverse backgrounds, with different identities and experiences make our company and product better. No matter your background, we'd love to hear from you! And if you have a disability, please let us know if there's any way we can make the interview process better for you - we're happy to accommodate!
This is a full time position, with standard working hours from 9:00 AM to 6:00 PM, Monday through Friday.
We are not currently planning on expanding our list of recruiting agencies. Neither the Talent team nor hiring managers or the Support team will respond to cold outreach.