Summer 2027: MBA Pricing & Monetization Strategy Intern

To qualify for US internships, you must be currently enrolled in a degree-seeking program with an expected graduation date after the internship/co-op ends. If you do not meet this requirement, we invite you to explore other opportunities available on our careers website.

Intuit internships are 12 weeks throughout the summer. We have fixed start and end dates that are designed to work with various universities’ academic calendars.

- Cohort 1: Monday, May 17 - Friday, August 6, 2027 (12 weeks)
- Cohort 2: Monday, June 14 - Friday September 3, 2027 (12 weeks)

About our Emerging Talent Program:

Intuit invests in Emerging Talent because fresh perspectives strengthen our products and teams. The program is backed by a culture that values curiosity and collaboration, and you'll be supported by dedicated managers and mentors who are invested in your growth. As an intern or co-op, you'll work on meaningful projects with business impact, many centered on AI and emerging technologies, and contribute to driving decisions. You'll build skills through function-specific learning opportunities, connect with a global community of interns and co-ops through dedicated programming and social events, and get exposure to senior leadership and cross-functional work across Intuit's product ecosystem. Learn more about our Intern and Co-op Program here .

About the Team

Intuit is on a mission to help small and mid-market businesses grow. A key lever is how we price and package the QuickBooks Online platform — across QuickBooks, Payroll, Payments, and Intuit Intelligence. AI is fundamentally reshaping what our products can do for customers, and with it, how we create and capture value: from AI-powered agents that do the work, to entirely new consumption- and outcome-based commercial models. Pricing & Monetization is where that shift gets translated into durable strategy — and it's one of the most direct ways to move the business.

As a Pricing & Monetization MBA intern, you'll own a scoped, high-visibility analysis within our active monetization strategy and deliver a recommendation to senior stakeholders by the end of the summer. You'll partner across Product, Data Science, Finance, and Marketing, and see how a data-driven pricing decision gets made and de-risked before it ships.

Responsibilities

- You'll own one focused strategy project, shaped to your background and the team's priorities that summer. Final scope will be set at the start of your internship; representative examples of the kind of work include:
- Feature entitlement & packaging: Analyze results from live entitlement / packaging tests, model customer response paths (adjust usage, upgrade, add-on, churn), and recommend refinements to the strategy.
- AI consumption & monetization: Help shape how new AI capabilities are priced and packaged — sizing willingness-to-pay, testing consumption vs. flat-attach models, and translating novel features into durable pricing constructs.
- Accountant-channel monetization: Interview accountants and analyze the channel to pressure-test lineup, pricing, and SKU-mix assumptions in one of our most important growth channels and customers.
- Build the analytical foundation for your recommendation — willingness-to-pay, price sensitivity, competitive benchmarking, and business-case / P&L modeling — and present it to senior leadership.

Qualifications

- Currently pursuing an MBA (or advanced quantitative/economics master's), graduating 2028.
- Strong structured problem-solving and comfort creating clarity from ambiguity with a hypothesis-driven approach.
- Resourceful with modern AI tools (LLMs, building your own analyses to answer questions quickly).
- Solid quantitative and modeling skills; fluent in spreadsheets and comfortable working with data.
- Clear written and verbal communication; able to influence and align cross-functional partners.
- Prior consulting, corporate/product strategy, finance, or pricing experience a plus; SaaS/fintech or PLG/self-serve background a plus.
- Collaborative, low-ego teammate — we care as much about how you work as what you deliver.

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: $47 - 57 /hr in MTV.

The expected base pay range for this position is:
Mountain View $0 - $0