Product Manager, QuickBooks

• Come help small businesses get to value faster. As a Staff PM on Product Growth, you'll own a core stage of the customer journey - turning new users into engaged, activated, and ultimately loyal Quick Books customers - on one of our most important company bets.
• You’ll own the end-to-end experience for your domain: defining the problem, the metric, and the roadmap, then driving a cross‑functional team to ship and learn fast. This is hands‑on growth PM work for someone who lives in the data and iterates relentlessly.
• Because growth priorities evolve as we learn, this role is intentionally broad. You may focus on top bets like scaling our freemium product or Mid‑Market growth, with your exact charter shaped by team needs and your strengths.

• Own the end-to-end product experience and roadmap for your stage of the customer lifecycle, tied to a clear success metric.
• Deliver measurable improvements in activation, engagement, conversion, or retention through a steady cadence of experiments.
• Use data, AI methodology, and domain expertise to solve complex problems and align your cross‑functional team on the target outcome.
• Run a high‑velocity experimentation loop - from hypothesis to A/B test to learning - across the surfaces that matter for your stage.
• Find opportunities to accelerate customer outcomes through AI, and use AI tools to raise your own and the team's velocity.
• Partner across engineering, design, data science, and marketing - often winning priority on shared roadmaps - to deliver high-quality experiences.
• Influence through data‑driven storytelling and bring stakeholders along on your point of view.

• 7+ years of product management experience, with a focus on product‑led growth, funnel optimization, or growth in a B2B or SaaS environment.
• Track record of owning a product area or high‑complexity feature set and driving measurable growth outcomes.
• Strong experimentation and A/B testing skills, with fluency in behavioral data and funnel metrics; you dig into how customers actually use the product.
• Working experience applying AI/ML - personalization, predictive engagement, or AI‑accelerated workflows - in a product context.
• Strong communication and cross‑functional collaboration skills; you anticipate dependencies and build shared understanding across teams.
• Comfort working in ambiguity and a fast‑moving, iterative environment.

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:
San Francisco $188,500 - $255,000