Job Summary

NetApp Platform Product Team is responsible for building, launching, and managing NetApp’s core storage and data management products. The team builds the foundational product capabilities behind NetApp’s flagship storage platforms and is at the forefront of driving a transformational journey at NetApp by accelerating innovation across NetApp’s 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 what’s 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 Hyperscaler’s 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.