Overview
At Intuit, we are committed to powering prosperity around the globe with our innovative financial products, including TurboTax and QuickBooks. We serve a diverse customer base ranging from consumers to small business owners, helping them achieve their financial goals through technology that impacts millions of lives.
We are seeking a highly skilled, data-driven, and customer-obsessed Staff Growth Product Manager to lead growth initiatives within QuickBooks Live and Intuit Intelligence. This role is focused on accelerating adoption, engagement, consumption of services and retention in our AI+experts-led "done-for-me world."
This is a unique opportunity to shape how customers discover, onboard, adopt, and realize value from AI-powered and human-assisted experiences. You will operate at the intersection of AI, Agentic AI, and human experts, using experimentation and product-led growth techniques to drive measurable business impact at scale.
The ideal candidate has a strong track record of driving growth through experimentation, funnel optimization, and customer lifecycle thinking. In this role, you will partner closely with PMs, designers, engineers, data scientists, service experts, marketing, and senior leadership to design, test, launch, and scale growth initiatives across acquisition, activation, engagement, retention, and monetization.
This team operates at high speed. We are looking for a growth-minded product leader with high energy, a strong bias for action, and a passion for moving quickly, getting into the data, and pushing for impact.
You will own growth strategy and outcomes for your domain, defining how customers are engaged with, and expand their usage of AI-powered expert services. You will be part of a dynamic, world-class team shaping the next phase of Intuit's growth through AI and expert collaboration.
If that sounds exciting, we'd love to connect!
Responsibilities
Growth Vision & Strategy: Define and communicate a clear growth vision and strategy for your domain, grounded in customer lifecycle thinking and business outcomes
Customer & Funnel Focus : Develop deep customer and expert empathy through research, data analysis, and direct engagement. Identify key friction points, drop-offs, and opportunities across acquisition, activation, engagement, consumption of services, retention, and monetization
Experimentation & Roadmap Execution: Translate insights into a prioritized, experiment-driven roadmap. Design and run A/B tests, pilots, and MVPs to validate hypotheses and scale what works
Cross-Functional Leadership: Partner closely with product, engineering, design, data science, marketing, and service teams to align on growth goals, experiments, and execution plans
Execution Excellence: Lead end-to-end delivery of growth initiatives, from hypothesis to launch to measurement, ensuring rapid iteration and high-quality releases that deliver measurable impact
Data-Driven Optimization: Define success metrics, monitor performance, and continuously optimize experiences using analytics, cohort analysis, and experimentation results
Stakeholder Management: Align with key stakeholders including service partners, customer success, and go-to-market teams to drive adoption, retention, and expansion
Thought Leadership: Stay ahead of trends in growth product management, product-led growth, and AI-driven experiences. Share learnings and best practices to raise the growth bar across the organization
Qualifications
Experience: 5+ years in product management with demonstrated success driving growth through experimentation, funnel optimization, and data-informed decision making
Growth Leadership: Proven ability to lead cross-functional growth initiatives and influence without authority across product, engineering, design, analytics, and go-to-market teams and across orgs.
Customer-Centric Mindset : Deep understanding of customer behavior and JTBD, with experience translating insights into growth hypotheses and product experiments
Strong Analytical & Problem-Solving Skills: Expertise in defining growth metrics, building dashboards, digging into data, running experiments, and using data to prioritize and make decisions
High-Velocity Mindset: Thrives in a fast-moving environment with a strong bias for action, high energy, and a relentless focus on driving results. Comfortable moving quickly, diving deep into data, and learning through rapid experimentation.
Operational Excellence: Ability to operate in high-ambiguity environments, establish scalable growth processes, and drive continuous improvement
Communication: Excellent verbal and written communication skills with the ability to clearly articulate growth strategies, insights, and results to stakeholders at all levels
Technical Acumen: Strong understanding of technical systems, experimentation platforms, and data pipelines, with the ability and willingness to get hands-on with data.
AI Experience: Experience building or scaling AI-powered products, workflows, agents, or intelligent automation
Bias for Action: Results-driven mindset with high ownership, attention to detail, and comfort running fast, iterative tests Education: Bachelor's degree required (Computer Science, Engineering, or STEM preferred); advanced degree a plus, or equivalent experience
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 (https://www.intuit.com/careers/benefits/full-time-employees/) ). 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 $ 180,500- 244,000
EOE AA M/F/Vet/Disability. Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.
