RevOps Manager​/GTM Engineering Manager

🍊Our mission

We're powering biology's century with radically faster, more reliable clinical trials. Every new treatment needs clinical trials to prove safety and efficacy, but today's infrastructure is stuck in the past - driving up cost, causing delays and ultimately meaning new treatments don’t get to patients. We're fundamentally changing that- not just being a "better CRO," but transforming how people think about developing new treatments, so patients can access breakthrough treatments faster.

Our impact speaks for itself: Since March 2021, we've powered 100+ clinical trials involving tens of thousands of patients. We recently raised a $55M Series B from Balderton Capital, alongside backing from Creandum, First minute, Seedcamp, and Visionaries.

🍊What's it like to work here?

When you join us, you’ll experience:

• High-Impact, Mission-Driven Work: Lindus Health is disrupting an outdated industry, giving you the chance to directly improve patients’ lives and see tangible results from your work.

• Fast-Paced Growth & Ownership: We recognise hard work and outcomes over anything else. You’ll take on real responsibility, work across different areas, and actively shape the company’s success.

• Collaborative, No-Ego Culture: Work with smart, driven people in a supportive and informal environment. At Lindus we break down silos, fun is a core value, and creativity is encouraged.

Ready to power biology's century? We'd love to hear from you.

This role exists to give commercial leadership clear, accurate visibility into how our GTM engine is performing across the full B2B buyer journey - from brand and demand generation through to closed revenue and account growth.

You’ll be the person who translates that journey into measurable, actionable systems, stitching together disparate data sources (CRM, website analytics, Linked In, ABM tooling, BD call notes, and more) into a single source of truth.

A core output is a composite engagement model that tracks account-level engagement over time and defines clear thresholds for when an account is ready for sales. This is a role for someone with the judgement to know what to measure first, the discipline to ship MVPs, and the instinct to avoid over-engineering. You'll also need to be a genuine AI practitioner: fluent across major model families, comfortable working with APIs and automation platforms like n8n, and opinionated about where AI adds real value versus where human judgement still wins

What we're looking for

• 2+ years in Revenue Operations, Marketing Operations, or a similar analytics-heavy commercial role in a high-growth B2B company, ideally in complex, high-value services industries

• Expert-level proficiency in Hub Spot, including workflows, custom reporting, and CRM architecture.

• Fluent use of AI tools across major model families with a working understanding of their relative strengths, limitations, and when output requires human review.

• Comfortable working with AI APIs and integrating models into automation workflows using tools like n8n. You stay current on new developments and can quickly assess what's worth adopting.

• Strong analytical skills with experience building dashboards and data models that drive decisions.

• Proven experience stitching together disparate data sources into a unified view - you have built composite scoring models, integrated multiple platforms, or consolidated fragmented reporting into a single source of truth.

• A strategic understanding of the B2B buyer journey and how brand, demand, pipeline, and revenue metrics connect to one another.

• Judgement and pragmatism: the ability to determine the right level of measurement for our stage, build MVPs quickly, and iterate rather than over-engineer.

• Demonstrated aptitude for leveraging AI tools for workflow automation, data enrichment, and productivity.

• Experience with  or similar for data enrichment workflows.

• Excellent communication and interpersonal skills. You will need to drive adoption across teams and partner effectively with marketing and commercial leadership.

• STEM background (e.g. data science, engineering, or quantitative discipline).

• Experience with…