Sales Operations

Overview

• Ensure the reliability, smooth operation and performance of Beem's commercial engine: structure data, automate operations, manage KPIs and trigger alerts on drop-offs so SDR and sales teams can focus on selling.
• Daily monitoring & codification: ensure daily activity tracking, codification and quality of data entered by SDRs and sales representatives.
• Processes & written culture: update and formalize sales processes. Every process must be written, versioned and accessible.
• Automation: automate recurring tasks as much as possible (reporting, follow-ups, enrichment, codification).
• KPIs & dashboards: design, validate and maintain commercial KPIs and operational dashboards.
• Sales cycle monitoring & alerts: oversee activity across the entire sales cycle and alert in case of drop-offs (pipeline, conversion, velocity).
• Sales capacity management: size and manage the team\'s capacity to handle incoming and outgoing lead flows.

Responsibilities

• Ensure the reliability, smooth operation and performance of Beem\'s commercial engine: structure data, automate operations, manage KPIs and trigger alerts on drop-offs so SDR and sales teams can focus on selling.
• Daily monitoring & codification: ensure daily activity tracking, codification and quality of data entered by SDRs and sales representatives.
• Processes & written culture: update and formalize sales processes. Every process must be written, versioned and accessible.
• Automation: automate recurring tasks as much as possible (reporting, follow-ups, enrichment, codification).
• KPIs & dashboards: design, validate and maintain commercial KPIs and operational dashboards.
• Sales cycle monitoring & alerts: oversee activity across the entire sales cycle and alert in case of drop-offs (pipeline, conversion, velocity).
• Sales capacity management: size and manage the team\'s capacity to handle incoming and outgoing lead flows.

Requirements

• Autonomous: able to manage tasks end-to-end without close supervision.
• Proactive and initiative-taking: identifies friction points, proposes solutions and challenges improvements.
• Written culture: naturally documents work; clear, structured and reusable writing.
• Data rigor & reliability: demanding about data quality and traceability.