Technical Marketing/Solution/Presales Engineer for AI Data Platform

Job Summary

NetApp Platform Product Team is responsible for building launching and managing NetApps core storage and data management products. The team builds the foundational product capabilities behind NetApps flagship storage platforms and is at the forefront of driving a transformational journey at NetApp by accelerating innovation across NetApps hybrid cloud portfolio (Public Private & On-premises).

AI Data platform is a key focus area for the Data Services group and involves the development and alignment of Product Technical Marketing GTM strategies Customer Value Enablement and Lifecycle Management practices across the NetApp product portfolio. The goal of the Product Management team is to enable ongoing customer success increase product adoption and drive customer lifetime value growth across all market segments.

This (TME) role will be responsible for the AI data platform for NetApp ONTAP storage and will work closely with key Field Technical teams Product Management Engineering Product Marketing and other key partners. In this role you will focus on delivering key technical value propositions to the Field and Customers through the creation of presentations solution briefs blogs technical white papers conducting proactive Field training/enablement sessions and creating Product-Field cohesion by influencing both Product Development efforts and Field initiatives. The successful candidate has a passion for understanding key customer requirements for major customer segments and use cases identifying key product value drivers and establishing how NetApp delivers differentiated value drivers for driving customer technical and business outcome

Job Requirements

GTM Collateral Creation

Create competitive collaterals (Why NetApp Storage for AI - presentations/videos/blogs/solution briefs etc.)

Pre-sales guides and demo narratives to establish technical wins

Technical white papers reference architectures etc.

Establish demonstration narratives for solutions and products

Partner integrations and solution validations

Sales Enablement

Conduct periodic sales/partner training and information delivery sessions

Identify whats working/not working from a pre-sales perspective and make course corrections in technical messaging

Launches and Events

Support product launch activities and assist with Trade Shows Conferences and Technical Sales Training or Channel Partner Training activities

Sales Support

Respond to customer or field inquiries assist with Technical RFPs and work with a cross-functional team of PMs Architects and Engineers as required

Product Development Influence

Influence product roadmap and development priorities with outside-in field and customer perspectives

Stay current with trends and competitors to identify improvements or recommend product enhancements.

Capabilities:

Working Experience in AI/ML and Knowledge of

• Artificial intelligence concepts including server/storage architecture batch/stream processing data warehousing data lakes distributed filesystems and data pipelining tools model training inferencing as well as RAG workflows.
• Working knowledge of Kubernetes & Containers.
• Knowledge on hypervisors such as VMware ESX Linux KVM
• Unix-based operating system kernels and development environments e.g. Linux or FreeBSD
• Experience with the Cloud Hyperscalers and their services (Amazon Web Services Microsoft Azure Google Cloud Platform)
• Prior experience with NetApp Storage or any other storage is preferred
• Experience in building test environments including compute storage networking components & enterprise workloads both in on-prem and in the cloud.
• Experience in creating content including but not limited to videos presentations blogs and technical documents.
• Communicate in a clear concise and professional manner tailoring the message to the audience including both verbal and written communications.
• Lead influence and work with a global team.

Education

• A minimum of 8 years of relevant experience is required; 10 to 12 years of experience is preferred working in enterprise software and IT infrastructure or technical marketing.
• A Bachelor of Science/computer or advanced degree in electrical engineering or computer science or related technical discipline; or equivalent experience is required.
• Demonstrated ability to have completed multiple complex technical projects.
• Demonstrated experience in authoring technical papers as well as project conceptualization and planning are required.