Revenue Operations Lead - Automations and Growth

Revenue Operations Lead - Automations and Growth

Full-Time 63000 - 77000 £ / year (est.) Home office (partial)
Cledara

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: Collaborative environment with a focus on innovation and career advancement.
  • Why this job: Be a key player in scaling revenue operations and driving business growth.
  • Qualifications: Analytical mindset with experience in revenue operations and automation.

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

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Revenue Operations Lead - Automations and Growth employer: Cledara

Cledara is an exceptional employer that fosters a vibrant and collaborative work culture in the heart of London. With a strong focus on professional growth, employees benefit from a generous training budget and a supportive environment that encourages learning and development. The company also prioritises employee well-being, offering access to private medical insurance, gym facilities, and regular social outings, making it an attractive place for those seeking meaningful and rewarding employment.

Cledara

Contact Details:

Cledara Recruitment Team

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

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