Sr. Sales Engineer, SLED

Rubrik is one of the fastest growing companies in the Silicon Valley, revolutionizing data protection and management in the emerging multi-cloud world. We are the leader in cloud data management, delivering a single platform to manage and protect data in the cloud, at the edge, and on-premises. Enterprises choose Rubrik to simplify backup and recovery, accelerate cloud adoption, enable automation at scale, and secure against cyberthreats.

Rubrik is looking for a Sales Engineer to provide technical direction and business guidance to our regional SLED sales team. As a Sales Engineer, you will be accountable for regional revenue goals by driving innovative technical programs and overseeing day-to-day account-level activities. You will be responsible for evangelizing, positioning, and architecting the industry's first hyper-converged hybrid cloud data management platform for a mix of enterprise, mid-market, and small business customers throughout your region.

• Provides technical leadership and direction to customers and internal staff in the development of fully integrated technology solutions in support of pre‑sales activities in the assigned market.

• Assists in the analysis, design and development of fully integrated technology solutions.

• Demonstrates technical leadership and subject matter expertise on Rubrik’s products, distributed architectures, file systems, and competitive storage offerings in the SAN product space.

• Acts as technical expert and consultant to develop and propose solutions that meet the technology and business requirements of assigned customers.

• Makes technical and sales presentations to customer's technical staff and senior management.

• Serves as a trusted technology advisor to customers and serves as an internal resource on technical issues or specific business applications within an assigned market segment.

• Successfully builds relationships with the account team, partners and customers in support of sales team objectives and engages and leverages corporate resources, abilities, budgets and personnel as appropriate.

• Leads technical sales calls

• Qualifies sales opportunities in the terms of customer technical requirements, competition, decision making process and funding.

• 5–7 years of sales engineering experience preferably in a software or data center environment.

• Driven – need for success, highly energetic with a strong hands‑on, “can do” approach.

• The successful candidate must have a fundamental breadth of technical knowledge in cloud data management, backup and disaster recovery and data analytics.

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

• Strives in moving in a fast‑paced environment; including handling multiple calls/demos per day with immediate follow up.

• A high level of business acumen and experience working with Cx0 level personnel, bringing technology solutions to solve business challenges.

• Smart, adaptable and open‑minded

• Bachelor’s degree required or equivalent experience

The minimum and maximum base salaries for this role are posted below; this role is also eligible to earn commissions pursuant to the Company’s written Incentive Compensation Plan. Additionally, the role is eligible for equity and benefits. The range displayed reflects the minimum and maximum target for new hire salaries for the role based on U.S. location. Within the range, the salary offered will be determined by work location and additional factors, including job‑related skills, experience, and relevant education or training.

US Pay Range

$136,290—$217,630 USD

Rubrik (RBRK), the Security and AI Operations Company, leads at the intersection of data protection, cyber resilience, and enterprise AI acceleration. Rubrik Security Cloud delivers complete cyber resilience by securing, monitoring, and recovering data, identities, and workloads across clouds. Rubrik Agent Cloud accelerates trusted AI agent deployments at scale by monitoring and auditing agentic actions, enforcing real‑time guardrails, fine‑tuning for accuracy and undoing agentic mistakes.

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