Full-time.
Hybrid – 3 days per week in the Cambridge office.
About Abselion
Abselion is a life science tools company headquartered in Cambridge, UK, working on the next generation of analytical technologies. We have developed a benchtop analytical instrument, called Amperia, which uses proprietary Redox Electrochemical Detection (RED) technology to quantify proteins and viral vectors directly from crude samples in minutes, without purification, and without specialist training.
We work with teams across protein expression, process development and in academia, biotech and pharma across the globe who are tired of waiting days for analytical results that should take minutes.
We are a team who care deeply about the science, move quickly, and believe that the best outcomes come from genuinely understanding and helping customers solve real problems
The role
We are looking for a GTM Engineer (2–5 years' experience) to build and operate the technical infrastructure behind Abselion's commercial engine. This role is sometimes called Revenue Operations or RevOps, and the work sits at the intersection of sales, marketing, and engineering. You will own our HubSpot 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 Abselion's growth plans into a clean, instrumented, automated GTM stack. Selling a scientific instrument is a long, consultative process. 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 HubSpot 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 HubSpot, 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, RevOps, Sales Operations, Marketing Operations, Growth Engineer.
- Deep, hands-on expertise with HubSpot, not just using it, but configuring, automating, and integrating it.
- Comfort writing code: Python, JavaScript, or similar; SQL; familiarity with APIs, webhooks, and no-code/low-code automation tools (Clay, n8n, Zapier, Make).
- 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.
Desired
- Experience selling into scientific or technical buyers (biotech, pharma, life sciences, deep-tech, hardware)
- Background in a complex, considered-purchase B2B sale rather than high-velocity SaaS
- Familiarity with Microsoft 365 / Outlook ecosystem and its integration with HubSpot.
- Some scientific literacy — enough to read a protein-research paper abstract and understand what a prospect is working on.
What we offer
- Dynamic and fast-paced work environment in a growing Series A biotech.
- Opportunity to build the GTM infrastructure from the ground up.
- Competitive base salary (£40,000 – £60,000 depending on experience).
- Be part of a great team working at the intersection of biology, engineering, and data science.
Start date
Immediate
Application process
First stage: Video call; Second stage: Face to Face Technical Interview (including a practical exercise on HubSpot configuration and an AI-assisted automation task)
How to apply
Please fill in the application form on our Careers page and attach your CV in PDF format. We look forward to receiving your application.
