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1071772 Product Manager - BigData Analytics

  • Internship
  • Santa Clara (Santa Clara)
  • Marketing

Job description

1071772 Product Manager - BigData Analytics

  

Job Description:

   

Unique opportunity to join the HPE Container Platform, the leading platform for data intensive modern applications. You will need a strong product and technical background to own and drive the strategy, roadmap and product features of new analytics and AI/ML services.

Qualifications:

· 
Bachelor's degree or equivalent in computer science, engineering or related field of study. MBA or advanced degree in computer science or engineering preferred.

· 
Expertise in product management, software development/architect or customer facing field engineering teams in enterprise software companies

· 
In-depth background and a minimum of 3 years experience in user experience, control and management aspect for enterprise products

· 
Must have driven or been part of a team driving the end to end workflow of installing, configuring, monitoring, managing enterprise systems.

· 
Must have working experience and knowledge with BigData Analytics

· 
Must have working experience and knowledge of AI/ML workflows

· 
Familiarity with Kubernetes highly preferred

Responsibilities:

· 
Be a top-notch Product leader for the responsible products

· 
Own and drive the product strategy, positioning, and roadmap by closely working with customers & key stakeholders across the company

· 
Deep understanding of customer use cases, market analysis, and business case development

· 
Requirements definition, prioritization and ongoing collaboration with world-class engineering teams to define detailed product development plans

· 
Ability to work with cross-functional teams including engineering, documentation, product marketing sales, professional services & support to build and make products successful

· 
Define, prioritize and execute on partner integrations

· 
Support field teams enablement, content development and sales activities as the subject matter expert

Keys to success:

· 
Ability to get things done by working with cross-functional teams across the company

· 
Highly motivated and self-driven with minimal guidance

· 
Being able to adapt and drive results in a fast-paced and rapidly growing organization

· 
Product Savvy with a balance of technical orientation

· 
Strong grasp industry offerings and capabilities in complex big data ecosystem

· 
Good at analytical thinking, synthesizing information and articulating conclusions

· 
Hands-on attitude. Likes to try out the technology personally

Job:
Engineering

Job Level:
Master

    

Hewlett Packard Enterprise is EEO F/M/Protected Veteran/ Individual with Disabilities.

   

HPE will comply with all applicable laws related to the use of arrest and conviction records, including the San Francisco Fair Chance Ordinance and similar laws and will consider for employment qualified applicants with criminal histories.

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