Senior Product Manager - QuickBooks Accounting Automation

About the role

Come join the core of the QuickBooks Online ecosystem as a Senior Product Manager on the QuickBooks Accounting Automation team. Our mission is to automate accounting for over 7 million small businesses around the world by replacing tedious bookkeeping with a "done-for-you" experience powered by the Accounting Agent — so our customers can spend their time managing and growing their business, confident their books are compliant and accurate. We're looking for a Senior Product Manager who is energized by building agentic, AI-native products at the heart of QuickBooks. You'll lead product innovations that delight small businesses and the accountants who serve them — defining how the Accounting Agent learns each customer's business, sets them up for success, and personalizes their accounting over time. You'll build deep customer empathy, translate it into AI-powered experiences that materially change how accounting gets done, and power growth across Intuit’s Global Small Business Group, where virtually every team leverages the accounting capabilities we build.

Responsibilities

• Develop and execute an AI-forward product strategy that aligns with business objectives and customer needs, with a clear point of view on where agentic experiences create the most value
• Survey the state of the industry, the AI/ML landscape, and emerging model capabilities to identify the next wave of accounting innovations — and translate those signals into concrete product bets
• Translate product strategy into an actionable roadmap that delivers measurable outcomes for customers and the business
• Lead a cross-functional team across engineering, design, applied AI/ML, and product to build agentic experiences that automate accounting end-to-end
• Define how the Accounting Agent reasons, acts, and improves over time — including the evaluation frameworks, guardrails, and trust mechanisms that make "done-for-you" accounting feel reliable and compliant
• Ruthlessly prioritize your team's backlog and drive dependent work across teams
• Partner extensively across business units to define and execute plans; drive decision-making, role clarity, alignment, and escalations as necessary
• Identify key hypotheses, design the right experiments (including AI-specific evals and offline/online testing), align teams on the learning plan, and execute with speed
• Take a data-driven approach to defining success metrics