Product Management Intern: Studio Apps & AI Insights

HP Inc.; Austin (TX); On-site; USD 29,000 - 48,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Disability insurance

Employee assistance program

Flexible spending account

Life insurance

Paid time off

Parental leave

Paid holidays

Job summary

HP Inc. is seeking a Software Product Management Intern to join the Collaboration Solutions team. This internship aims to collect market and customer insights and deliver value through Studio software apps and Lens/HP Workforce Experience launches.

Responsibilities include collaborating across teams, defining software requirements with user stories, and leveraging AI tools to inform decisions. 3rd-year or first-year Master’s students enrolled full-time in the US are preferred.

Qualifications

• 3rd year of Bachelor’s program completed or 1st year of Master’s program.
• Must be enrolled full time at an accredited university.
• Able to obtain work authorization in the United States in 2027, and not require sponsorship in the future.

Responsibilities

• Collaborate with product, design, engineering, and business stakeholders.
• Collect market, competitor, and customer insights.
• Analyze data and translate findings into actionable product insights.
• Support concept planning and launches for software experiences
• Help define software requirements with user stories and acceptance criteria.
• Use AI and analytics tools to improve research and decision-making.

Skills

Analytical skills

Product management interest

Data analysis

UX/UI understanding

Communication

Team collaboration

Productivity software

Tools

Copilot/ChatGPT

Power BI

JIRA

Figma

Microsoft Office

Job description

HP Inc. is seeking a Software Product Management Intern to join the Collaboration Solutions team. This internship aims to collect market and customer insights and deliver value through Studio software apps and Lens/HP Workforce Experience launches.

Responsibilities include collaborating across teams, defining software requirements with user stories, and leveraging AI tools to inform decisions. 3rd-year or first-year Master’s students enrolled full-time in the US are preferred.