Client Executive (Enterprise IT)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Client Executive (Enterprise IT): Driving new logo acquisition and expanding market presence for intelligent data infrastructure solutions with an accent on hybrid cloud and storage. Focus on building high-quality pipelines, navigating complex enterprise buying environments, and influencing C-level stakeholders.
Location: North Sydney, Australia (Hybrid working environment with in-office and/or in-person expectations)
Company
is a leader in intelligent data infrastructure, providing unified storage and integrated data services natively embedded in Google Cloud, AWS, and Microsoft Azure.
What you will do
- Identify, prospect, and acquire new enterprise customers within the assigned territory to drive growth.
- Manage the end-to-end sales cycle, including cold outreach, qualification, positioning, and deal closure.
- Build and execute strategic territory plans to maximize coverage and penetrate whitespace accounts.
- Maintain a healthy and predictable pipeline with rigorous opportunity management and accurate forecasting.
- Establish and influence strategic relationships with C-level and senior stakeholders in target accounts.
Requirements
- 8+ years of proven hunter sales experience in new logo acquisition and greenfield sales for enterprise accounts.
- Strong expertise in pipeline generation, management, and accurate forecasting using CRM tools.
- Deep knowledge of hybrid cloud, storage, and enterprise IT solutions.
- Proven ability to navigate complex multi-stakeholder environments and long sales cycles.
- Exceptional executive presence with the ability to engage C-suite decision-makers.
Culture & Benefits
- Hybrid work model designed to balance professional ambition with personal life.
- Culture that celebrates mold breakers, bold thinkers, and rewards initiative and ownership.
- Commitment to Equal Employment Opportunity (EEO) and inclusive workplace values.
- Collaborative environment focusing on solving real-world data infrastructure challenges.
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