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HPE Private Cloud AI Acceleration Lead

Hewlett Packard Enterprise
United Statesfull_timeVerifiedPosted 22 Oct 2024
💰 $300,000/yr($130,500/yr$300,000/yr)

About the role

HPE Private Cloud AI Acceleration Lead

  

This role has been designed as ‘Hybrid’ with an expectation that you will work on average 2-3 days per week from an HPE office.

Who We Are:

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know diverse backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.

Job Description:

   

Job Description:

  

Hewlett Packard Enterprise (HPE) advances the way people live and work. We bring together curious minds to create breakthrough technology solutions, helping our customers make their mark on the world.

We’re solving the world’s most complex challenges, and our people are at the forefront of progress. Working at HPE, you’ll have the resources to develop your talent and creativity. Are you ready for your next opportunity and to grow with us?

HPE's Hybrid Cloud Solution and GTM organization is hiring a Private Cloud AI Acceleration lead.

This role entails: 

Designing and structuring short, mid and long term PCAI acceleration initiatives focused on getting the sellers (Primary sellers, AI sellers, Channel sellers, presales) to fast start enabling them to start selling HPE Private Cloud AI offerings. Must have a deep understanding of AI in general as well as the AI use cases associated with the industry verticals. Requires a good understanding of the overall GTM processes to fast start the sellers. Strong project management skills are required to manage and orchestrate discussions with the relevant stakeholders. The HPE Private Cloud Acceleration initiative should be designed in such a way that it is 100% executable in the field with a purpose to generate revenue streams via continuous pipeline generation. The designed initiative must be aligned with the private cloud AI sales and the sales enablement team for execution. Must relentlessly strive to evolve to a stage where the model can be scalable.

  

Responsibilities:

  • Design and structure sales acceleration initiative to fast start the Private Cloud AI sellers, presales and channel sellers.
  • The initiative must be trackable with specific success metrics such as participation rate, ROI, pipeline generated, and deals closed.
  • Alignment with GTM and Sales group on the initiatives designed
  • Cross collaboration with stakeholders in different functions/organizations
  • Continuous evolution towards standardizing and scaling the business model
  • Present insights into the AI market and recommend AI use cases that has to be built as part of the sales narrative.
  • Collaborate with the WW Sales Readiness team on both the AI content and well as leveraging their enablement platform.
  • Comfortable with absorbing vast amounts of market intelligence data, data from industry analyst white papers, etc. related to AI.
  • Excellent communication, project management and data visualization skills.
  • Key stakeholders: Private Cloud AI Sales, Hybrid Cloud Business Unit, Storage Business Unit, Compute Business Unit, HPC Business unit, Sales Enablement, Sales Strategy and Planning, CMI analytics, WW Data Science Team.

Education and Experience Required:

  • Bachelor’s degree in business management or computer science. Masters preferred.
  • Minimum 10+ years of experience in the related field (AI, Public, On-prem Cloud, Hybrid Cloud, XaaS, Industry vertical, Program/project Management, Workloads/solution, etc.).

Knowledge and Skills:

  • Customer Profiling skills
  • Excellent understanding of the AI market and its related use cases.
  • Excellent understanding of customer AI workloads/solution and its related trend
  • Program development and management skills from past roles
  • Project management skills
  • Strong analytical skills to identify TAM size for the respective AI use cases
  • Understands the end-to-end GTM model for the Sales Accelerati

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Company

Hewlett Packard Enterprise

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