AI-Driven TPM Intern - Lead Cross-Functional Programs

Intuit; San Diego (CA); On-site; USD 72,000 - 103,000; Full time

Job summary

Intuit in San Diego offers a 12-week summer internship/co-op program as part of the Emerging Talent initiative. Eligibility requires enrollment in a degree program with expected graduation after the internship, and US work authorization for the duration.

The program runs across two cohorts with fixed May–Aug and Jun–Sept dates, designed to align with university calendars. Interns work on meaningful AI-centered projects, guided by mentors, and collaborate across product, engineering and business

Qualifications

• Currently enrolled in a degree-seeking program with an expected graduation date after the internship
• Familiarity with AI tools and curiosity about applying AI to real problems
• Legally authorized to work in the United States full-time during the internship
• Ability to work in a hybrid Intuit office environment
• Strong communication and cross-functional influencing skills
• Solid understanding of SDLC and AI-driven development trends

Responsibilities

• Drive end-to-end execution for your program's deliverables
• Establish and lead a clear operating rhythm for the program
• Act as a key alignment point between product, engineering, and business partners
• Navigate setbacks and drive for resolution and alignment to maintain momentum
• Partner with TPM team members to improve delivery processes
• Contribute to annual planning with cross-stakeholder visibility

Skills

AI tools familiarity

Strong communication

Project management

Cross-functional collaboration

SDLC understanding

Decisive prioritization

Organizational planning

Education

Enrollment in degree-seeking program

Job description

Intuit in San Diego offers a 12-week summer internship/co-op program as part of the Emerging Talent initiative. Eligibility requires enrollment in a degree program with expected graduation after the internship, and US work authorization for the duration.

The program runs across two cohorts with fixed May–Aug and Jun–Sept dates, designed to align with university calendars. Interns work on meaningful AI-centered projects, guided by mentors, and collaborate across product, engineering and business