Revenue Operations Lead - Automations and Growth in London

Revenue Operations Lead - Automations and Growth in London

London Full-Time 63000 - 77000 £ / year (est.) Hybrid
C

At a Glance

  • Tasks: Lead revenue operations and optimise processes for faster sales and clearer insights.
  • Company: Cledara, a dynamic company in London focused on growth and innovation.
  • Benefits: Hybrid work model, competitive salary, and opportunities for professional development.
  • Other info: Collaborate with leadership in a supportive and growth-oriented culture.
  • Why this job: Make a real impact by redesigning and scaling revenue operations in a fast-paced environment.
  • Qualifications: Analytical mindset, hands-on experience, and a passion for building automations.

The predicted salary is between 63000 - 77000 £ per year.

Cledara in London is seeking a Revenue Operations leader to own the GTM engine. This hybrid role requires three days a week in the London office, with scope to redesign and scale our revenue operations. You’ll partner with leadership to optimize processes, tooling, and dashboards that drive faster sales and clearer insights.

Ideal candidates are analytical, growth-minded, and hands-on builders who relish building automations and mapping end-to-end revenue processes to support rapid business growth.

Revenue Operations Lead - Automations and Growth in London employer: Cledara

Cledara is an exceptional employer that fosters a high-performance culture, offering employees the chance to directly influence revenue operations in a dynamic and collaborative environment. With competitive compensation, generous training budgets, and a vibrant London office equipped with modern amenities, Cledara prioritises both professional growth and employee well-being, making it an ideal place for those eager to make a meaningful impact in the SaaS management space.

C

Contact Details:

Cledara Recruitment Team

We think you need these skills to ace Revenue Operations Lead - Automations and Growth in London

Communication Skills
Problem-Solving Skills
Data Engineering
SQL
Python
ETL/ELT Processes
Data Pipeline Development