Senior Sales Engineer - OK/AR/Dallas

Cohesity is the leader in AI-powered data security. Over 13,600 enterprise customers, including over 85 of the Fortune 100 and nearly 70% of the Global 500, rely on Cohesity to strengthen their resilience while providing Gen AI insights into their vast amounts of data. Formed from the combination of Cohesity with Veritas’ enterprise data protection business, the company’s solutions secure and protect data on-premises, in the cloud, and at the edge. Backed by NVIDIA, IBM, HPE, Cisco, AWS, Google Cloud, and others, Cohesity is headquartered in Santa Clara, CA, with offices around the globe. We’ve been named a Leader by multiple analyst firms and have been globally recognized for Innovation, Product Strength, and Simplicity in Design , and our culture. Want to join the leader in AI-powered data security? We are seeking a driven and technically strong Sr. Sales Engineer to support enterprise sales engagements and help customers adopt Cohesity’s modern data security and management platform. This role is suited for a high‑performing Sales Engineer who is building depth across security, data protection, and cloud technologies while expanding their ability to independently support complex customer engagements.​As a Sr Sales Engineer, you will partner closely with Account Executives to drive new customer opportunities and expansions by delivering tailored technical solutions. You will support opportunity execution end‑to‑end, engage a wide range of technical and business stakeholders, and develop credibility as a trusted technical advisor to customers and partners.​This role emphasizes strong technical execution, collaboration, and growing ownership of account‑level technical strategy, with guidance and support from senior SEs and leadership.​HOW YOU’LL SPEND YOUR TIME HERE:​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.​WE’D LOVE TO TALK TO YOU IF YOU HAVE MANY OF THE FOLLOWING:​​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).​Demonstrated ability to leverage AI tools to enhance productivity, streamline workflows, and support decision making.​Willingness to travel as required.​​#LI-SC1Data Privacy Notice for Job Candidates:For information on personal data processing, please see our Privacy Policy.Equal Employment Opportunity Employer (EEOE)Cohesity is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status or any other category protected by law.If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact us at 1-855-9COHESITY or View email address on click.appcast.io for assistance.In-Office ExpectationsCohesity employees who are within a reasonable commute (e.g. within a forty-five (45) minute average travel time) work out of our core offices 2-3 days a week of their choosing.SummaryLocation: USA - Oklahoma - Remote; Austin Metro Area - Texas - USA (Remote); USA - Arkansas - RemoteType: Full time