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We'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 you'll 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.
Job Responsibility:
Build 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. Prototype and deploy AI agents and LLM-powered tooling for tasks like lead qualification, account research, RFP response, call analysis, and content generation
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.
Requirements:
Hands-on AI/LLM experience. You've built or deployed AI agents, used LLM APIs in production workflows, or integrated AI tooling into commercial processes
Data enrichment expertise. You've worked with enrichment platforms, understand match logic and deduplication, and have opinions about what good data quality looks like. You've cleaned up other people's messes before
A builder's mindset. When you see manual work, you immediately think about how to automate it
Good commercial instincts. You understand B2B SaaS sales motions, how SDRs and AEs actually work, and what makes commercial teams effective
Senior IC operating style. You can scope work, prioritise, push back when needed, and ship without close oversight. You're comfortable being the technical SME on a small team
Technical Depth (at least one of these): A track record of building commercial systems at scale. You've architected workflows in HubSpot (ideally), or Salesforce that go beyond standard configuration: custom objects, complex routing, lifecycle automation, integrations with multiple tools
Or, fluency with low-code automation platforms. You've built things in tools like Clay, n8n, Make, Zapier, or similar
Or, significant data wrangling skills. The ability to write SQL or Python is a plus. You can build complex models in spreadsheets at to a high level of proficiency
Nice to have:
Experience with Clay
Experience with CommonRoom
SQL or Python skills
What we offer:
Competitive salary depending on experience
27 days of annual leave (including 3 days Christmas closing), with the option to roll over 3 days
Hybrid working with three days a week from our dog-friendly Hoxton office and on-site gym
Comprehensive private medical & dental cover with Vitality
Enhanced parental leave pay
Learning & development culture – £1,000 personal annual budget
Carbon-neutral and working towards ambitious carbon reduction goals