Responsibilities

• Drive new customer and expansion opportunities by articulating Cohesity’s Data Cloud portfolio—backup, recovery, cyber resilience, and data security management capabilities to business and technical audiences.
• Provide expert, tailored technical support throughout the sales cycle, including discovery, solution design, demos, and proofs of concept.
• Support technical strategy for enterprise opportunities in partnership with the Account Executive, contributing to deal progression and win strategy.
• Enable customers to integrate Cohesity products into existing production environments, responding to technical requests in a timely and professional manner.
• Lead and support technical engagements such as product demonstrations, workshops, white papers, proposals, and evaluations.
• Identify customer requirements and risk areas, helping shape proofs of concept that highlight Cohesity’s value in cyber resilience and data security.
• Assist with competitive displacement conversations by understanding customer environments and positioning Cohesity effectively.
• Collaborate cross-functionally with Product Management, Engineering, and Support to relay customer feedback and contribute to product improvements.
• Provide post-sales technical assistance or project support when needed to ensure successful outcomes and customer satisfaction.

Requirements

• 8-10 Years of SE experience
• Proven experience in pre-sales Sales Engineering or Solutions Consulting supporting infrastructure, data protection, security, or cloud platforms in enterprise environments.
• Hands‑on experience with backup, recovery, data protection, storage, or cyber resilience technologies across on‑prem, hybrid, and cloud architectures.
• Working knowledge of data security concepts, including ransomware resilience, immutable storage, encryption, and access controls.
• Familiarity with competitive technologies and an interest in developing competitive positioning skills.
• Experience supporting proofs of concept, evaluations, and technical decision processes.
• Ability to translate technical architecture into clear customer value and business outcomes.
• Experience partnering with Account Executives to support complex, multi‑stakeholder sales cycles.
• Demonstrated ability to leverage AI tools to enhance productivity, streamline workflows, and support decision making.
• Understanding of enterprise buying processes and deal dynamics.
• Strong communication and presentation skills, able to clearly convey technical concepts to business and technical audiences.
• Collaborative mindset with the ability to manage complex customer situations professionally and confidently.
• Bachelor’s degree in Computer Science, Engineering, Mathematics, or equivalent practical experience.
• Industry certifications in cloud, data, or adjacent technologies are a plus.
• Must have English language proficiency (able to interact fluently when speaking, reading, and writing in a professional setting).
• Willingness to travel as required.