Sales Engineer

About Druva:
Druva is the resilience foundation for the AI enterprise, helping organizations secure and recover from connected risk across data, cyber, identity, and AI. The Resilience Cloud is a fully managed, cloud-native SaaS platform that delivers air-gapped and immutable protection across cloud, SaaS, on-premises, endpoint, and edge environments. Powered by Dru MetaGraph, Druva’s graph-powered intelligence layer, the platform connects critical business context so customers can understand risk, respond faster, recover cleanly, and govern data with greater confidence.

Trusted by nearly 7,500 customers, including 75 of the Fortune 500, Druva helps safeguard the critical information and systems businesses depend on in an increasingly connected world.
Visit druva.com and follow us on LinkedIn, X and Facebook.

Position Summary
Druva is seeking to hire a Sales Engineer with a focus on Data Protection with AI &Data Security. As a Sales Engineer, you will provide technical direction and business guidance to the regional sales teams. We are looking for a motivated and proactive
individual to help exceed sales targets by driving innovative technical programs, conducting customer demonstrations, POCs, and overseeing daily technical solutioning activities. You will be responsible for evangelizing, positioning, and
architecting Druva’s Data Protection, AI & Data Security Solutions to a mix of new & existing customer accounts in the region.

Key Responsibilities
• Demonstrates technical leadership and subject matter expertise on fully managed cloud-native SaaS, Endpoint & Server Data Protection, AI & Data Security, and Cyber Resiliency

• Provides technical leadership and direction to customers and internal staff in the development of Druva solutions, supporting pre-sales activities within the assigned region

• Leverage technical discovery and qualification fundamentals to establish rapport as a trusted advisor to develop and propose solutions that meet the technology and business requirements of prospective & existing customer accounts in the region

• Meet business objectives by collaborating with Sales Executives in the region
• Assist in delivering technical enablement to the Druva Channel Partner ecosystem

Requirements

•  5  to 8 years in technical customer-facing roles with at least 2+ years as a sales engineer working with enterprise software solutions

• Intermediate-level knowledge of enterprise server backup technologies
• Intermediate-level knowledge of Virtualization Platforms VMWare, HyperV, Nutanix & ProxMox.

• Intermediate-level knowledge of Databases such as MS-SQL, Oracle, Azure SQL.
• Working knowledge & understanding of AI concepts and tools. Hands on knowledge of Claude, Copilot would be added advantage.
• Intermediate level knowledge of operating systems, including MS Windows, Linux,& amp; macOS.
• Experience with Active Directory, Entra ID, SSO, MFA, SCCM, and automated deployment tools.

• Intermediate level of knowledge of industry AI.
• Basic understanding of network technologies and protocols – TCP/IP, VLAN, DNS, switches, firewalls, routers, and proxies

• Entrepreneurial - willing to go the extra mile, strong work ethic, resourceful, “get it
done” attitude

• A highly energetic drive to meet goals with a strong hands-on, “can-do” approach
• Strives in moving in a fast-paced environment, including handling multiple calls/demos per day with immediate follow-up.

• Intermediate-level knowledge of Cloud platforms like Azure & AWS.

Shift Timing:
The role requires working in the US time zone, with shift timings from 6:00 PM to 3:00 AM IST.

Desired Skills And Experience:
• Experience with a SaaS company or demonstrable knowledge of SaaS practices
• Intermediate level of knowledge of cloud-native IaaS & PaaS services.
• A high level of business acumen and experience working with various cross-
functional stakeholders to foster collaboration in solving business challenges

• Fundamental knowledge of the NIST Cybersecurity 2.0 framework
Basic knowledge of cybersecurity solutions in the areas of EDR, XDR, MDR, etc.