Director, Specialist Sales Engineering – Data Security

Required Qualifications

• You thrive in ambiguity. You’re comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.
• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution.
• You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact.
• You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.
• You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.
• Demonstrated curiosity and active exploration of AI tools, with a proven history of integrating new technologies to enhance daily workflows and augment problem-solving
• Bachelor’s Degree in Engineering, a related field, or equivalent experience
• Proven track record in sales or systems engineering with experience managing and directing a sales engineering team by mentoring, coaching, and developing talent
• Technical expertise in Data Protection and web-related technologies
• Proven ability to communicate value-based selling in a matrixed GTM environment
• Experience working with Zscaler or competitive solutions within the Data Protection Market
• Deep understanding of SaaS-based technologies and regulatory compliance across EMEA and APJ
• Experience teaming with large GTM and Partner Ecosystems in a matrix environment