At a Glance
- Tasks: Architect and build systems to automate and enhance our commercial operations.
- Company: Join Xelix, a fast-growing tech company revolutionising financial controls with AI.
- Benefits: Competitive salary, 27 days leave, hybrid work, and a ÂŁ1,000 annual learning budget.
- Other info: Fun team culture with regular socials and an annual retreat.
- Why this job: Shape the future of automation in a dynamic environment and make a real impact.
- Qualifications: Experience in AI, data enrichment, and building scalable commercial systems.
The predicted salary is between 60000 - 80000 ÂŁ per year.
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 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 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 a high level of proficiency.
What we offer in return
- 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.
- We’re carbon‑neutral and are working towards ambitious carbon reduction goals.
- Lots of team socials & activities.
- Annual team retreat.
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.
GTM Engineer employer: Xelix
Contact Detail:
Xelix Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land GTM Engineer
✨Tip Number 1
Network like a pro! Reach out to people in your industry, especially those at Xelix or similar companies. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! If you've got a portfolio or examples of your work, make sure to share them during interviews. Demonstrating your hands-on experience with AI and data systems can really set you apart.
✨Tip Number 3
Prepare for the unexpected! In fast-paced environments like Xelix, be ready for technical questions or problem-solving scenarios. Brush up on your knowledge of HubSpot and automation tools to impress the interviewers.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in being part of our team at Xelix.
We think you need these skills to ace GTM Engineer
Some tips for your application 🫡
Show Your Passion: When you're writing your application, let your enthusiasm for the role shine through! We want to see that you’re genuinely excited about the opportunity to join us at Xelix and help shape the future of our commercial organisation.
Tailor Your Experience: Make sure to highlight your relevant experience in your application. We’re looking for someone who has hands-on AI/LLM experience and a builder’s mindset, so don’t be shy about showcasing your skills and how they align with what we do!
Be Clear and Concise: Keep your application clear and to the point. We appreciate well-structured applications that get straight to the heart of your qualifications and experiences. Remember, we’re busy building something special, so make it easy for us to see why you’d be a great fit!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at Xelix!
How to prepare for a job interview at Xelix
✨Know Your Tech Stack
Familiarise yourself with the tools mentioned in the job description, like HubSpot, Gong, and Outreach. Be ready to discuss how you've used similar platforms in the past and how you can leverage them to build scalable systems.
✨Showcase Your AI Experience
Since this role involves AI and LLMs, prepare specific examples of projects where you've implemented AI solutions. Highlight your understanding of when and how to use these technologies effectively to enhance commercial processes.
✨Demonstrate a Builder's Mindset
Be prepared to talk about instances where you've identified manual processes and successfully automated them. Share your thought process on how you approach building repeatable systems rather than just completing tasks.
✨Understand B2B SaaS Sales Dynamics
Brush up on your knowledge of B2B SaaS sales motions. Be ready to discuss how your technical solutions can directly impact the efficiency of SDRs and AEs, showing that you understand the commercial side of the business.