Revenue Operations Manager – Salesforce Focus

About the role

Hydrosat, a space and data analytics company, is seeking a hands‑on Revenue Operations Manager to keep its global sales organisation running smoothly. Based in Luxembourg, you will own the Salesforce‑driven revenue tech stack, drive forecasting, and partner with sales leadership to turn data into actionable insights that support both government and commercial go‑to‑market strategies.

Key responsibilities

• Partner with sales leadership to identify, prioritize, and pursue strategic opportunities, developing capture plans and contributing to winning proposals.
• Own and continuously improve the revenue tech stack – Salesforce, sales‑engagement, enrichment, and analytics tools – ensuring a scalable data model and single source of truth.
• Build and run forecasting across commercial and government pipelines, delivering clear, cadenced views of bookings, ARR, and revenue.
• Define go‑to‑market metrics and create dashboards that align Sales, Marketing, Product, Customer Success, and Finance.
• Design, implement, and optimise the end‑to‑end sales process to shorten deal cycles and increase win rates.
• Support government contracting motions with pipeline tracking, bid/no‑bid data, and award performance reporting.
• Refine ideal customer profiles, segmentation, and account coverage models using data‑driven analysis.
• Establish data‑quality standards that make revenue reporting trusted by the board and investors.

Required profile

• Proven experience managing revenue operations in a fast‑growing, technology‑focused environment.
• Comfortable analysing large data sets, improving business processes, and collaborating closely with sales, finance, and product teams.
• Strong communication skills with the ability to influence senior leadership and external partners.
• Detail‑oriented mindset with a focus on data integrity and operational efficiency.

Required skills

• Salesforce CRM
• Sales‑engagement platforms
• Data enrichment tools
• Analytics and reporting tools
• Data modelling
• Revenue forecasting