Description
This internship opportunity is for a Product Marketing / Portfolio Strategy Intern in HP's Personal Systems organization, focusing on agentic AI. You will research customer and market needs, identify opportunities for differentiation, and recommend a focused minimum viable product (MVP) for review by the portfolio and insights team.
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.
- Collaborate with product management, marketing, finance, engineering, and analytics teams.
Education:
- Currently pursuing an MBA or relevant master's degree in business administration, Finance, Computer Science.
- Must be enrolled full-time at an accredited university.
- Has no more than 24 months of prior work experience professionally related to the intern requisition.
Required Skills:
- Strong market research and analytical abilities.
- Understanding of product management principles and product development.
- Ability to translate research into a clear product strategy and MVP scope.
- Experience analyzing business, financial, or market data.
- Strong written, verbal, and presentation skills.
- Ability to communicate complex AI concepts to technical and non-technical audiences.
- Strong problem-solving skills and intellectual curiosity.
- Proficiency with Excel and PowerPoint.
- Familiarity with artificial intelligence, machine learning, or agentic AI.
- Experience with AI research tools such as ChatGPT or Claude.
- Knowledge of competitive analysis, customer segmentation, and go-to-market strategy.
- Interest in technology product management and commercial computing.