GTM Engineer at Xelix

, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

02 Sep, 26

Salary

65000.0

Posted On

04 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI/LLM Integration, HubSpot Architecture, Data Enrichment, Workflow Automation, B2B SaaS Sales Motions, Low-code Automation, SQL, Python, Data Wrangling, Solution Architecture, Revenue Operations, Lead Qualification, API Integration, CRM Management, Data Quality Management, System Design

Industry

Software Development

Description

About us 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 role 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. This role exists because we want to build operating leverage and giving 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 doing 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. 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 bring You probably won't have done all of these, but you should have done most: 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. This might include Claude, MCP tools, or an agent-building tool. You’re discerning about how to use LLMs, and understand where LLMs add value and where they don't. 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. You'd rather spend two days building something repeatable than two hours doing it manually. Good commercial instincts. You understand B2B SaaS sales motions, how SDRs and AEs actually work, and what makes commercial teams effective. You're not building in isolation, but to make the business better. 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. We'll want to see specific examples. Or, fluency with low-code automation platforms. You've built things in tools like Clay, n8n, Make, Zapier, or similar. You know which to reach for and when. If you've stood up Clay specifically, that's a strong signal. 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. What we offer in return 💰 Competitive salary of £50,000 - £65,000 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 🌍 We’re carbon-neutral and are working towards ambitious carbon reduction goals 🎯 Lots of team socials & activities ☀️ Annual team retreat Want to learn more? About us Xelix blog Xelix news Xelix glassdoor 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! If you're a recruiting agency - we have an existing list of agencies we work with and we are not currently planning on expanding the list. Neither the Talent team nor hiring managers or the Support team will respond to cold outreach. This is a full-time position, with standard working hours from 9:00 AM to 6:00 PM, Monday through Friday. Interview Process While the exact process may vary slightly depending on the role, our typical interview stages are: Introductory Call – A short Teams conversation with a Talent Partner to discuss your background and the opportunity. Hiring Manager Interview – A 30–45 minute Teams meeting to explore your experience and fit for the team. Technical Task or Presentation – A role-relevant exercise to demonstrate your skills and approach. Final On-site Interview – An in-person meeting with our senior leadership team and co-founders at our office. We strive to make the process clear, efficient, and respectful of your time.

Responsibilities

Architect and build scalable commercial infrastructure and automated workflows across the GTM stack to reduce manual work for sales teams. Prototype and deploy AI-augmented tools for lead qualification, account research, and content generation.