A Systems Engineering Manager responsible for leading and mentoring a high-performing pre-sales team that supports enterprise clients in modernizing their data storage solutions using all-flash storage, cloud, and AI-driven technologies, while driving technical strategy, customer engagement, and business growth.
Key Responsibilities
Lead, coach, and mentor the sales engineering team to drive performance and growth
Manage technical partnerships with large System Integrators for joint sales efforts
Develop and execute an annual operating plan to achieve business outcomes
Guide account teams on activities to increase deal success
Understand customer business drivers and connect technology solutions to business outcomes
Collaborate with account managers, specialists, and partners to create a seamless customer experience
Present technical product and architecture solutions to customers to secure technical wins
Translate customer needs into innovative storage solutions and respond to RFPs
Identify and pursue new opportunities for interoperability, testing, and validation
Create technical marketing materials and stay current with industry trends and competitors
Requirements
Experience in supporting the sales of enterprise storage, networking, systems, cloud, or software to enterprise accounts
Experience in both pre-sales and partner enablement
At least 5 or more years of relevant people manager experience
Deep understanding of the architecture, design, and implementation of multi-tiered client-server and web-based computing solutions
Prior experience in targeting new prospects and converting them into clients
Contribute significant portions and/or lead responses to RFPs, RFQs, and RFIs
Familiarity with modern web architecture such as LAMP stack, scale-out vs scale-up architectures, AWS well-architected framework, microservices architecture (plus if applicable)
Superior knowledge of current and emerging storage architectures including FC, iSCSI, NAS, OSD, SAN
Experience with Linux, NFS file systems, and Linux distributed network environment
Strong knowledge of digital transformation to Cloud Native architecture, On-Prem, Public Cloud, Provisioning Automation, and Containers (plus if applicable)
Familiarity with AWS, Azure, GCP (plus if applicable)
Client-facing experience in proposing AI/ML solutions (plus if applicable)
Experience with installation and configuration of distributed computing, multiprocessing, virtual memory subsystem, storage subsystems architecture, shared memory architectures, cache architectures, windowing systems
Excellent verbal and written interpersonal skills
BS in Computer Science, Electrical Engineering, or other technical degree, or equivalent experience
Curiosity and passion around technology and explaining/showing new technology platforms and concepts to customers
Benefits & Perks
Flexible time off
Wellness resources
Company-sponsored team events
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