Lindus Health is transforming clinical trials to make them faster and more reliable. They are seeking a RevOps Manager / GTM Engineering Manager to provide commercial leadership with insights into the GTM engine's performance, integrating various data sources into actionable systems.
Responsibilities:
- 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
- Translate the buyer journey into measurable, actionable systems, stitching together disparate data sources into a single source of truth
- Develop a composite engagement model that tracks account-level engagement over time and defines clear thresholds for when an account is ready for sales
- Build dashboards and data models that drive decisions
- Drive adoption across teams and partner effectively with marketing and commercial leadership
Requirements:
- 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 HubSpot, 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 Clay.com 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 account-level engagement scoring and MQL/threshold implementation
- SQL or equivalent data query language proficiency
- Experience with ABM platforms such as N.rich, HubSpot ABM, Demandbase, 6sense, or RollWorks
- Experience with visitor identification tools (e.g. RB2B, Clearbit Reveal)
- Understanding of SEO/AEO reporting and how organic search feeds into demand measurement
- Advanced HubSpot certifications