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Job Description
A Systems Engineering Manager responsible for leading and mentoring a team of pre-sales engineers to drive technical sales, develop customer solutions, and promote Pure Storage's data storage and cloud solutions to enterprise clients.
Key Responsibilities
- Lead, coach, and mentor the Systems 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 and revenue growth.
- Understand customer business drivers and connect technology solutions to customer outcomes.
- Collaborate with account managers, specialists, and partners to create a seamless customer experience.
- Demonstrate and communicate the advantages of Pure Storage solutions through technical presentations.
- Translate customer business needs into innovative storage solutions.
- Respond to RFI, RFP, and RFQ proposals with technical expertise.
- Identify and pursue new opportunities for interoperability, testing, and validation.
Requirements
- Experience in supporting the sales of enterprise storage, networking, systems, cloud, or software to enterprise accounts.
- Deep understanding of the architecture, design, and implementation of multi-tiered client-server and web-based computing solutions.
- Experience in both pre-sales and partner enablement.
- Five or more years of relevant people manager experience.
- Familiarity with modern web architecture such as LAMP stack, scale-out vs scale-up architectures, AWS well-architected framework, microservices architecture (preferred).
- Superior knowledge of current and emerging storage architectures including FC, iSCSI, NAS, OSD, SAN, Linux, NFS file systems, and Linux distributed network environment.
- Strong knowledge of digital transformation to Cloud Native architecture, On-Premises, Public Cloud, Provisioning Automation, and Containers (plus).
- Familiarity with cloud platforms such as AWS, Azure, and GCP (plus).
- Client-facing experience in proposing AI/ML solutions (plus).
- Experience in installation and configuration of distributed computing, multiprocessing, virtual memory subsystem, storage subsystems architecture, shared memory architectures, cache architectures, and windowing systems.
- Excellent verbal and written interpersonal skills.
- BS in Computer Science, Electrical Engineering, or other technical degree, or equivalent experience.
- Curiosity and passion for technology, with the ability to explain and demonstrate new technology platforms and concepts to customers.
- Work in an in-office environment at the specified OFFICE_LOCATION in compliance with company policies (mandatory).
Benefits & Perks
Flexible time off
Wellness resources
Company-sponsored team events
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