AI Product Strategy Intern

HP

Spring (TX)

On-site

USD 55,000 - 62,000

Full time

9 days ago
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Job summary

HP's Quality Engineering Intern program invites you to explore agentic AI opportunities, research market needs, and craft a focused MVP concept for review by portfolio and insights teams.

You will collaborate with product management, marketing, finance, engineering, and analytics to create data visualizations and present findings to stakeholders. MBA or related master's candidates in CS, Economics, or Data Science are encouraged.

Qualifications

  • Strong market research and analytical abilities.
  • Understanding of product management principles and product development.
  • Ability to translate research into a clear MVP scope.
  • Experience analyzing business, financial, or market data.

Responsibilities

  • Research market trends, customer needs, competitors, and emerging agentic AI technologies.
  • Identify and evaluate potential AI product opportunities.
  • Define the target user, value proposition, competitive differentiation, and key use cases.
  • Develop a scoped MVP recommendation and supporting business rationale.
  • Analyze market, financial, and product data to inform recommendations.
  • Create data visualizations and executive-ready presentations.
  • Present findings and recommendations to portfolio and insights stakeholders.

Skills

Market research
Product management
Data analysis
Power BI
Excel
Presentation skills
AI concepts

Education

MBA or relevant master's degree
Business Administration
Finance
Computer Science
Economics
Data Science or Statistics

Tools

Power BI
Excel

Job description

HP's Quality Engineering Intern program invites you to explore agentic AI opportunities, research market needs, and craft a focused MVP concept for review by portfolio and insights teams.

You will collaborate with product management, marketing, finance, engineering, and analytics to create data visualizations and present findings to stakeholders. MBA or related master's candidates in CS, Economics, or Data Science are encouraged.

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