Revenue Ops Architect — Scale Pipelines, Forecasts & Automation

fiskaly; Madrid; Presencial; EUR 60.000 - 70.000; Jornada completa

Descripción de la vacante

fiskaly is seeking a Revenue Operations leader to own end-to-end processes across the customer lifecycle. You will design, build, and automate our CRM and revenue tech stack (Pipedrive today) and partner with Sales, Marketing, and Customer Success to scale operations.

The role is hands-on and requires 4–7+ years in Revenue Ops, strong analytics, and the ability to turn ambiguity into scalable workflows. English is required; Spanish/German/French are a plus.

Formación

• 4–7+ years in Revenue Operations or GTM Ops.
• Hands-on CRM administration; build it yourself.
• Strong revenue analytics, reporting and forecasting skills.
• Experience with AI/no-code automation is a plus.

Responsabilidades

• Own end-to-end Revenue Operations across the customer lifecycle.
• Administer and improve our CRM and revenue tech stack (Pipedrive today).
• Design scalable processes that increase efficiency and reduce bureaucracy.
• Build dashboards, reports and forecasting models used by leadership.
• Safeguard CRM data quality, governance and adoption.
• Identify automation opportunities using AI and no-code tools.
• Partner with Sales leadership on pipeline management and territory planning.
• Support GTM initiatives, product launches and pricing/packaging from operations.
• Evaluate, implement and integrate new revenue technologies.
• Work cross-functionally with Marketing and Customer Success to remove friction.

Conocimientos

Revenue Operations

CRM Administration

Analytics & Forecasting

Automation & AI-native

Cross-functional collaboration

Herramientas

Pipedrive

HubSpot

Descripción del empleo

fiskaly is seeking a Revenue Operations leader to own end-to-end processes across the customer lifecycle. You will design, build, and automate our CRM and revenue tech stack (Pipedrive today) and partner with Sales, Marketing, and Customer Success to scale operations.

The role is hands-on and requires 4–7+ years in Revenue Ops, strong analytics, and the ability to turn ambiguity into scalable workflows. English is required; Spanish/German/French are a plus.