At a Glance
- Tasks: Build and operate the tech behind our sales engine, automating workflows and enriching leads.
- Company: Join a forward-thinking company at the intersection of sales, marketing, and engineering.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic role with a focus on continuous improvement and innovation.
- Why this job: Make a real impact by optimising our go-to-market strategies with cutting-edge technology.
- Qualifications: 2-5 years in sales/marketing operations with hands-on technical experience, especially in HubSpot.
The predicted salary is between 50000 - 70000 £ per year.
- We are looking for a
- GTM Engineer
(2–5 years' experience) to build and operate the technical infrastructure behind the commercial engine.
This role is sometimes called Revenue Operations or Rev Ops, and the work sits at the intersection of sales, marketing, and engineering.
You will own our Hub Spot CRM, automate manual workflows, and build the AI-assisted systems that help us reach customers at scale.
You will work directly with the Commercial team to translate the growth plans into a clean, instrumented, automated GTM stack.
Your job is not to mass outbound, but to make sure every lead is enriched, every follow‑up is timely, every conversation is logged, and the sales team spends its time on the conversations that move deals forward.
- Your responsibilities
- Own and administer the Hub Spot CRM end‑to‑end, including data model, properties, pipelines, automations, reporting, and integrations.
- Build and maintain the GTM tech stack: CRM, enrichment tools (e. g. Clay, Apollo), email sequencing, lead scoring and dashboards.
- Design automated workflows for lead enrichment, account research, meeting prep briefs, and follow‑up reminders so the sales team starts every conversation informed.
- Build AI‑assisted tooling (Large Language Model (LLM)-based) for prospect research, account summaries, scientific‑context briefs, and email drafting tailored to the individual scientist contact.
- Instrument the funnel: define and report on pipeline health, conversion rates, source attribution, and sales‑cycle metrics for the leadership team.
- Run experiments on messaging, channels, and targeting; measure outcomes rigorously and scale what works.
- Maintain data hygiene and integrations between Hub Spot, Microsoft 365, and other commercial tools.
- Document processes and train the commercial team so the systems you build are adopted, not abandoned.
- Continuously improve the workflows and tech stack as the business scales and technology evolves.
Requirements
- 2–5 years in a role combining sales/marketing operations with hands‑on technical building, e. g. GTM Engineer, Rev Ops, Sales Operations, Marketing Operations, Growth Engineer.
- Deep, hands‑on expertise with Hub Spot, not just using it, but configuring, automating, and integrating it.
- Practical experience using LLMs and AI tools in production workflows — not just chat, but building automations that call models, parse outputs, and act on them.
- Strong analytical mindset — able to define metrics, build dashboards, and tell the story behind the numbers.
- Pragmatic, builder mentality - prefers shipping a working system this week over a perfect one next quarter.
- Clear written communication — a large part of this role is documenting what you build and training the Commercial team to use it well.
- Experience selling into technical buyers (biotech, pharma, life sciences, deep‑tech, hardware).
- Background in a complex, considered‑purchase B2B sale rather than high‑velocity Saa S.
- Familiarity with Microsoft 365 / Outlook ecosystem and its integration with Hub Spot.
- #J-18808-Ljbffr
StudySmarter Expert Advice🤫
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We think you need these skills to ace Head of Revenue Operations in Peterborough
Some tips for your application 🫡
Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.
Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.
Tailor Your Documents for Us:When applying for a full-time role at Telos Talent, tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!
Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.
How to prepare for a job interview at Telos Talent
✨Show off your analytical skills
In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!
✨Practice your technical know-how
Expect some technical questions during the interview that dive deep into your understanding of data modelling and analytics frameworks. Brush up on your knowledge of data warehousing concepts and be ready to tackle any real case scenarios they might present. They’ll want to see how you approach problems using your BI toolkit.
✨Portfolio of Projects
Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.
✨Know their business model
Get familiar with Telos Talent’s business model and recent data-driven decisions. Be prepared to discuss how your skills can specifically support their objectives or challenges. Understanding their landscape shows that you’re not just a data buff, but you’re also genuinely interested in how BI can impact their bottom line.
