Revenue Operations Manager

GeneralMind; Berlin; Vor Ort; EUR 70.000 - 100.000; Vollzeit

Zusammenfassung

GeneralMind in Berlin is seeking a Revenue Operations Manager to own our go-to-market systems. You will manage HubSpot, define sales processes from lead to close, and turn raw pipeline data into insights for leadership.

This builder role requires hands-on analytics, process documentation, and the ability to work autonomously in a fast-moving startup, shaping how we forecast and optimize revenue.

Qualifikationen

• 3+ years in Revenue Operations, Sales Operations, or similar in B2B SaaS or tech.
• Hands-on HubSpot administration experience (certifications a plus).
• Strong analytical skills with dashboards and data-driven decisions.
• Solid understanding of B2B sales processes and funnel mechanics.
• Highly organized, detail-oriented, and able to work autonomously in a startup.

Aufgaben

• Own and administer our CRM (HubSpot) – configuration, data quality, integrations, and adoption.
• Define and document sales processes from lead to close, ensuring consistent execution.
• Build and maintain dashboards and reports covering pipeline health and forecast trends.
• Drive sales forecasting with reliable models and early risk flags.
• Identify bottlenecks in the sales funnel and partner with the team to fix them.
• Manage the sales tech stack: evaluate, implement, and optimize tools for productivity.
• Support onboarding of new sales hires with process documentation and tooling setup.

Kenntnisse

Analytical thinking

Process documentation

Autonomous work

Startup-friendly

Tools

HubSpot

Jobbeschreibung

GeneralMind builds AI Systems of Action for complex enterprise workflows. We deploy AI employees that automate messy operational handovers across supply chains - processing orders, validating invoices, coordinating suppliers, and handling exceptions directly on top of enterprise systems like SAP, Oracle, JDE, and Dynamics.

Our platform combines AI agents, operational context graphs, and real transaction data to achieve Autopilot-grade automation in real operational environments.

We work closely with leading global companies across manufacturing, retail, and logistics to deploy AI into mission-critical workflows.

About the Role

As our first Revenue Operations Manager, you'll own the systems and processes that make our go-to-market engine run. GeneralMind is scaling fast, and the sales team needs better tooling, cleaner data, and sharper forecasting to keep up. You'll be the owner of HubSpot, the architect of our sales process, and the person who turns raw pipeline data into actionable insight for leadership.

This is a builder role - you'll create structure where there's currently none, and your work will directly impact how quickly we can grow. You'll work hand-in-hand with our sales leadership and founders to define how revenue operations should look at GeneralMind, then make it happen.

What You'll Do

Own and administer our CRM (HubSpot) - configuration, data quality, integrations, and adoption

Define and document sales processes from lead to close, and ensure consistent execution across the team

Build and maintain dashboards and reports covering pipeline health, conversion rates, forecast accuracy, and revenue trends

Drive sales forecasting - work with sales leadership to develop reliable models and flag risks early

Identify bottlenecks in the sales funnel and partner with the team to fix them

Manage the sales tech stack: evaluate, implement, and optimize tools that improve team productivity

Support onboarding of new sales hires with process documentation and tooling setup

What We're Looking For

3+ years in Revenue Operations, Sales Operations, or a similar role at a B2B SaaS or technology company

Deep hands-on experience with HubSpot (admin-level; certifications a plus)

Strong analytical skills - comfortable building dashboards, writing reports, and turning data into decisions

Solid understanding of B2B sales processes and funnel mechanics

Highly organized, detail-oriented, and process-driven

Able to work autonomously and prioritize in a fast-moving startup environment