Jobs
Compensation
$236,000 - $319,000
Benefits & Perks
•Healthcare
•401(k)
•Equity
•Healthcare
•401k
•Equity
Required Skills
Product Management
Growth Strategy
Data Analysis
A/B Testing
AI/ML
Mobile Design
Intuit’s Global Business Solutions Group (Quick Books) 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 grow.
The Quick Books 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 offer.
Responsibilities
We are looking for a Principal Product Manager to lead key customer journeys and drive platform growth. This role will focus on designing mobile-first, AI-powered experiences that reduce friction and increase discovery, engagement, and retention.
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Define and execute a customer backed strategy, owning prioritization of the highest impact customer journeys.
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Build and own a balanced short and long term roadmap to deliver on business objectives
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Partner with marketing, design, engineering, and data science to enhance the funnel with AI-driven personalization and predictive engagement models.
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Establish a high-velocity experimentation culture, running A/B tests to optimize the key metrics and inform strategy.
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Leverage deep analysis of customer and site analytics to understand behavior and performance, using data to identify opportunities for improvement
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Define and track North Star and operational KPIs, such as engagement uplift and funnel drop-offs.
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Work closely with engineering, design, growth marketing, and analytics to deliver innovative, scalable solutions.
Qualifications
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8+ years of product management experience, with experience in growth or funnel optimization in a B2B or SaaS environment
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Superior strategic and analytical skills with ability to draw key insights and develop clear recommendations
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Proven track record of driving conversion and engagement improvements
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Deep expertise in AI/ML-driven personalization, web commerce, and mobile-first UI patterns
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Data-driven decision maker who leverages A/B testing, behavioral insights, and ML models to optimize funnel performance
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Excellent communication skills, with the ability to influence senior executives and cross-functional teams
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Comfortable working in ambiguity, quickly iterating on hypotheses, and prioritizing high-impact initiatives
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Bachelor’s degree in Computer Science, Business, Engineering, or related field; advanced degree is a plus
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may 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 at Intuit®: Careers | Benefits). 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:
Bay Area California $ 236,000- 319,000
Southern California $ 213,500- 288,500
New York $ 232,500- 314,500
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About Intuit
Reviews
3.6
9 reviews
Work Life Balance
3.8
Compensation
3.2
Culture
3.1
Career
3.7
Management
3.0
65%
Recommend to a Friend
Pros
Flexible schedule and work independence
Good benefits and 401k match
Supportive teammates and collaboration
Cons
Management issues and favoritism
High pressure and quotas
Poor communication and politics
Salary Ranges
91 data points
Junior/L3
Mid/L4
Senior/L5
Staff/L6
Junior/L3 · Business Analyst
10 reports
$145,015
total / year
Base
$111,550
Stock
-
Bonus
-
$138,710
$163,150
Interview Experience
7 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Offer Rate
14%
Experience
Positive 14%
Neutral 86%
Negative 0%
Interview Process
1
Application Review
2
Online Assessment/Technical Screen
3
Live Coding Interview
4
Case Study/Technical Assessment
5
Behavioral Interview
6
Offer
Common Questions
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
Case Study
System Design
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