Senior Staff Product Manager - QuickBooks Discovery & Engagement

Intuit Inc.; Mountain View (CA); On-site; USD 196,000 - 266,000; Full time

Job summary

Intuit is seeking a Senior Staff Product Manager for the QuickBooks Discovery & Engagement team, focusing on creating AI-driven customer experiences. This role involves leading customer journey strategies, enhancing funnel optimization, and working with cross-functional teams to implement data-driven solutions.

Benefits

Competitive compensation package

Cash bonus eligibility

Equity rewards

Comprehensive benefits

Qualifications

• 8+ years of product management experience in B2B or SaaS.
• Proven record of driving conversion and engagement improvements.
• Deep expertise in mobile-first UI patterns.

Responsibilities

• Lead key customer journey strategies with an AI-driven focus.
• Run A/B tests to optimize engagement metrics.
• Collaborate with cross-functional teams to deliver solutions.

Skills

AI/ML-driven personalization

Product management

Growth optimization

Data-driven decision making

Excellent communication

Education

Bachelor's degree in Computer Science, Business, Engineering, or related field

MBA

Job description

Intuit’s Global Business Solutions Group (QuickBooks) is devoted to creating tools and services that improve the chances of success for small businesses around the world. Our offerings span from invoicing, payroll, and accounting to access to capital and expert connections, with the vision of being the connected, end-to-end platform small and medium businesses rely on daily to run and grow.

The QuickBooks Discovery & Engagement team is focused on transforming how we drive breakthrough adoption of our platform through in-product education, product led growth, and marketing. This team sets the strategy, creates delightful experiences, and builds AI-first capabilities that help customers discover and benefit from everything the platform can do.

Responsibilities

We are looking for a Senior Staff Product Manager to lead key customer journeys. This role will focus on designing mobile-first, AI-powered experiences that reduce friction and increase discovery, engagement, and retention.

• Define and execute a customer backed strategy, owning prioritization of the highest impact customer journeys.
• Partner with marketing, design, engineering, and data science to enhance the funnel with AI-driven personalization and predictive engagement models.
• Establish a high-velocity experimentation culture, running A/B tests to optimize the key metrics and inform strategy.
• Utilize AI-driven segmentation to personalize journeys based on behavioral signals. - Define and track North Star and operational KPIs, such as engagement uplift and funnel drop-offs.
• Work closely with engineering, design, growth marketing, and analytics to deliver innovative, scalable solutions.

Intuit provides a competitive compensation package with a strongpayfor performance rewards approach. The expected basepay range for this position is: Bay Area California $196,500 - $266,000, Southern California $179,000 - $242,500.This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits atIntuit: Careers | Benefits).Payoffered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoingpayequity for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.

• 8+ years of product management experience, with experience in growth or funnel optimization in a B2B or SaaS environment
• Proven track record of driving conversion and engagement improvements
• Deep expertise in AI/ML-driven personalization, web commerce, and mobile-first UI patterns
• Data-driven decision maker who leverages A/B testing, behavioral insights, and ML models to optimize funnel performance
• Excellent communication skills, with the ability to influence senior executives and cross-functional teams
• Comfortable working in ambiguity, quickly iterating on hypotheses, and prioritizing high-impact initiatives
• Bachelor’s degree in Computer Science, Business, Engineering, or related field or equivalent experience; MBA is a plus