Revenue Operations Manager at Amazon [London, UK]


We’re looking for a Revenue Operations Manager to join our team to help us build our go-to-market engine and lay the foundations for growth & strategy execution. You will partner with the Sales, Marketing, and Customer Success teams to create & execute their strategy, drive alignment across teams, and uncover insights. If you are looking for an opportunity to jump in and build processes from the ground up in a supportive environment, we want to hear from you!

Key job responsibilities

  • You will support our day-to-day operations and provide recommendations on how we can improve our go-to-market data and tech stack to achieve our goals.
  • Own the execution & delivery of sales & marketing operational programs.
  • Toggle between tactical work and longer-term initiatives, projects, and planning activities.
  • Work with internal stakeholders to implement solutions that help them meet & exceed customer needs.
  • Build & manage sales campaigns, marketing programs, automation, templates, etc.
  • Advise on new business growth strategy, churn strategy, existing customer base expansion, sales incentives and segmentation; approach problems analytically to come to data-driven resolutions.

Basic Qualifications

  • Bachelor's degree in commerce, finance, or STEM.
  • 2+ years relevant experience working at a high-growth SaaS technology company in sales/marketing/revenue/growth ops (or management consulting experience).
  • Hands-on experience working with CRMs like and Marketing Automation Platforms (ActiveCampaign, Marketo, HubSpot).
  • Data analysis skills - you know your way around Excel!
  • Experience building out marketing, sales, and customer success systems, processes, training, and optimization from scratch.
  • A passion for troubleshooting, finding unexpected behaviors and solving them.
  • Curious and not afraid to try a different path to achieve your goals.

Preferred Qualifications

  • Knowledge of data warehouse best practices, Extract, Load, Transform (ELT) and Reverse Extract, Transform, Load (ETL).
  • Experience using SQL to extract data
  • Experience with BI & data visualization tools (Metabase, etc.)
  • A good understanding of how to deliver results of an experiment and communicate impact to senior leadership.

Read more ar apply here.