Revenue Operations Manager — Data-Driven GTM Leader

0026 Checkout Technology Ltd; Greater London; Hybrid; GBP 85,000 - 120,000; Full time

Job summary

Checkout.com is seeking a hands-on Manager, Revenue Operations to lead a small team and own the end-to-end GTM data, forecasting, and tech stack. You will partner with Commercial Leaders, CRM, Marketing, and Finance to streamline processes, improve data quality, and enable faster, more informed decision making across the organization.

In this hybrid role, you will drive operational excellence, work with tools like Salesforce, Clari, and Apollo, and mentor analysts to raise the bar on data

Qualifications

• 5–7 years in Revenue, Sales, or Business Operations within a high-growth B2B tech environment.
• Experience building and optimizing GTM processes and data workflows.
• Strong analytical mindset with ability to derive actionable insights from complex datasets.

Responsibilities

• Own the global forecasting cadence and ensure data-backed predictability.
• Design lean, scalable workflows to reduce admin time for sales teams.
• Architect and optimize the commercial tech stack across Salesforce, Clari, and related tools.
• Ensure data integrity for QBRs and Board reports with clear leadership visibility.
• Lead GTM architecture and coordinate product launches with Finance, Marketing and Product.
• Partner with Revenue Enablement to translate insights into coaching for faster productivity.

Skills

Team leadership

Data analysis

Salesforce

SQL

Excel/Google Sheets

Forecasting

Tools

Salesforce

Google Gemini

Clari

Apollo

Clay

Zapier

Job description

Checkout.com is seeking a hands-on Manager, Revenue Operations to lead a small team and own the end-to-end GTM data, forecasting, and tech stack. You will partner with Commercial Leaders, CRM, Marketing, and Finance to streamline processes, improve data quality, and enable faster, more informed decision making across the organization.

In this hybrid role, you will drive operational excellence, work with tools like Salesforce, Clari, and Apollo, and mentor analysts to raise the bar on data