AI-Driven Product Management Intern (Hybrid)

Intuit Inc.; United States; On-site; USD 55,000 - 106,000; Full time

Benefits offered by this job

Relocation stipend

Job summary

Intuit Inc. offers a 12-week Product Management Internship in the United States designed to align with university calendars.

Interns work on meaningful AI-enabled projects across the product lifecycle, guided by managers and mentors, and gain exposure to senior leadership in a collaborative, cross-functional environment. The program emphasizes hands-on learning, teamwork, and delivering impact through rapid experimentation, with cohorts running May–Aug or Jun–Sep 2027 at a Mountain View or San

Qualifications

• Current enrollment in a degree-seeking program with an expected graduation after the internship ends.
• Familiarity with AI tools and a curiosity about applying AI to real-world problems.
• Must be legally authorized to work in the United States for the duration of the internship.

Responsibilities

• Lead a cross-functional team to create new products and features.
• Gather qualitative and quantitative data to build customer empathy and insights.
• Define experiences, use cases, and roadmaps; plan and prioritize product work.
• Ship improvements using rapid tests and experimentation in a fast-paced environment.
• Collaborate with AI across the product lifecycle and apply sound judgment to drive decisions.
• Apply innovative technologies to improve customer experiences across Intuit’s ecosystem.

Skills

AI tools

Cross-functional teamwork

Communication

Leadership

Problem solving

Tools

Hybrid work setup

Job description

Intuit Inc. offers a 12-week Product Management Internship in the United States designed to align with university calendars.

Interns work on meaningful AI-enabled projects across the product lifecycle, guided by managers and mentors, and gain exposure to senior leadership in a collaborative, cross-functional environment. The program emphasizes hands-on learning, teamwork, and delivering impact through rapid experimentation, with cohorts running May–Aug or Jun–Sep 2027 at a Mountain View or San