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.

Preferred

• 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.

Benefits

• Dynamic and fast-paced work environment in a growing Series A biotech.
• Opportunity to build the GTM infrastructure from the ground up.
• Share option scheme.
• Be part of a great team working at the intersection of biology, engineering, and data science.