Account Executive - Cybersecurity Sales - Remote

Overview

Do you want to help make the world safe from cyber attack? At Corelight, we believe that the best approach to cybersecurity risk starts with the network. Attackers can evade endpoint detection, firewalls and many other technologies - but they can’t avoid leaving digital footprints on the networks they traverse. Built on open-source innovations from Zeek, Suricata and YARA and refined through years of real-world use, Corelight transforms network footprints from physical, virtual and cloud networks into actionable insights. Our customers use these insights to speed incident response and proactively hunt for threats.

In Short

• Develop and close business to consistently meet or exceed quarterly sales quotas.
• Be a trusted advisor by understanding client businesses and aligning Corelight solutions with their goals.
• Demonstrate a deep understanding of Corelight offerings and their value to customers.
• Sell across all organizational levels, from end-users to C-suite executives.
• Align with Corelight partner ecosystem to optimize market opportunity.
• Maintain accurate pipeline management with expert level forecasting.
• Leverage cross-functional strategies to achieve company objectives.
• Regional travel required.

Requirements

• Minimum 3-5+ years selling enterprise SaaS solutions in the cloud/security space.
• Experience managing multiple stakeholders and selling into integrated tools.
• Expert in value-based solution selling.
• Proficiency in executing a formal sales process.
• Proven track record managing accounts in the cloud or cybersecurity ecosystem.
• Ability to learn and explain a highly technical product.
• BA or equivalent in a technical or business field preferred.

Benefits

• Competitive salary range of $180,000 - $214,000/year.
• Commission-based or discretionary bonus potential.
• Equity and additional benefits awarded.
• Work in a collaborative, inclusive, and growth-oriented culture.
• Opportunity to work with cutting-edge AI-assisted workflows and machine learning models.
• Be part of a fast-growing network detection and response platform.
• Work from home and office locations around the world.