Revenue Ops Lead

Location: Paris, France; hybrid working environment with in-office and/or in-person expectations

Company

hirify.global provides intelligent data infrastructure, unified storage, integrated data services, and multicloud solutions for enterprise customers.

What you will do

• Optimize sales processes, funnel management, install base operations, and overall operational excellence.
• Drive deal motion, opportunity acceleration, global business sales process implementation, and sales change management.
• Support field teams in delivering a seamless customer journey and increasing customer engagement time.
• Accelerate revenue through faster and more frequent deal closures while supporting market share and margin growth.
• Maintain pipeline hygiene and overall pipeline health.
• Support CRM, CPQ, sales order adjustments, and MNC splits.

Requirements

• At least 5 years of experience in the technology sector, specifically in Sales Operations, Revenue Operations, or a related function.
• Experience with Salesforce for opportunity and pipeline management.
• Familiarity with data visualization tools such as Tableau and Power BI.
• Expertise in at least two areas including planning cycles, sales forecasting, operating model development, process improvement and design, business analytics and insights, chief of staff responsibilities, business operations, or cadence management.
• A degree in a related or financial discipline and the ability to manage multiple moderately complex tasks.
• Fluency in French and English at C1–C2 level.

Culture & Benefits

• Hybrid work designed to support connection, collaboration, and culture.
• Environment focused on innovation, initiative, impact, ownership, and problem-solving.
• Flexibility to balance professional and personal commitments.
• Inclusive workplace where differences are welcomed and valued.

Hiring process

• Applications are reviewed only when submitted through the hirify.global company website.
• Some hiring stages may use AI-assisted tools to support candidate evaluation and selection alongside human decision-making.