Head of Revenue & GTM Operations in London

Head of Revenue & GTM Operations in London

London Full-Time 75600 - 92400 £ / year (est.) No working from home possible
Hyperlayer

At a Glance

  • Tasks: Lead revenue operations, align teams, and drive cross-functional execution for growth.
  • Company: Join Hyperlayer, a forward-thinking company focused on scaling revenue.
  • Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
  • Other info: Be part of a dynamic team with a focus on innovation and collaboration.
  • Why this job: Make a significant impact by shaping the future of our revenue strategy.
  • Qualifications: Experience in revenue operations and strong leadership skills required.

The predicted salary is between 75600 - 92400 £ per year.

Hyperlayer is seeking a Head of Revenue & Business Operations in the UK to align Sales, Marketing and Customer Success around a single source of truth while scaling our revenue engine.

You’ll own the GTM tech stack, forecasting, and company-wide operating cadences, delivering board-ready insights and driving cross-functional execution.

You will lead a growing team, own CRM architecture, and partner with the sales org to craft client-ready decks and market analyses.

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Head of Revenue & GTM Operations in London employer: Hyperlayer

At Hyperlayer, we pride ourselves on fostering a dynamic work culture that values innovation and collaboration. As a Platform Engineering Manager in London, you'll benefit from a supportive environment that encourages professional growth and offers opportunities for hands-on leadership. Our commitment to employee development, coupled with our focus on delivering high-quality software, makes us an exceptional employer for those seeking meaningful and rewarding careers.

Hyperlayer

Contact Details:

Hyperlayer Recruitment Team

We think you need these skills to ace Head of Revenue & GTM Operations in London

Sales Alignment
Marketing Strategy
Customer Success Management
GTM Tech Stack Management
Forecasting
Data Analysis
Cross-Functional Execution