Intuit Inc.
Senior Staff Product Manager, Quickbooks AI Acceleration
Intuit Inc., Mountain View, California, us, 94039
Come join the exciting AI Acceleration team as a Senior Staff Product Manager! Our mission is to power prosperity for the world’s small/mid-sized businesses and self-employed persons by building cohesive agentic experiences — wherever and however they work.
As an individual contributor, you’ll make QuickBooks products even more useful and engaging for entrepreneurs. You’ll lead the strategy and influence across teams to build out hyper-personalized, yet cohesive agentic experiences that leverage GenAI, AI, and agents to automate tasks, deliver notifications, provide a prioritized to-do list of actionable insights, and recommend new ways for customers to automate their business across AI agents. In leading this effort, you’ll:
Partner with product management leadership, Data Science, Marketing, Experience Design, Product Development, Data Analytics, and other stakeholders to articulate the broad strategy for this experience within the QuickBooks Online offering cross-platform.
Define how the end-to-end experience should be personalized to meet the needs of each QuickBooks customer. Define how supporting capabilities should come together to power this vision.
Partner with teams serving different customer types to solve important problems and build personalized use cases using agentic and generative AI.
Lead a cross-functional team of product developers, data scientists, marketers, data analysts, and experience designers to innovate, experiment, and create tools that empower other teams to create amazing personalized, cohesive AI experiences for customers.
Set KPIs for customer delight that drive business outcomes, manage dependencies, escalate barriers to execution, and report research findings and progress to senior leadership.
Responsibilities include:
Identify cohesive agent automation opportunities through customer research and lean qualitative and quantitative testing.
Consult with teams across the organization to elevate end-to-end customer experience; provide regular feedback and build data-backed principles through rapid testing.
Create strategies and roadmaps based on data to inform product and platform investments.
Prioritize ruthlessly, influence dependencies, and ship experiences that provide significant value to customers and internal teams.
Communicate frequently and clearly with other teams and leaders, and build durable artifacts to drive alignment.
Galvanize the team by celebrating successes and learning from failures.
Share knowledge and mentor others.
Qualifications include:
7+ years designing and delivering world-class software products in product management roles.
Experience working with generative AI or ML models to deliver personalized customer experiences with a strong technical background.
Experience building cohesive customer experiences end-to-end across multiple teams; influencing product teams by consulting on planned experiences, providing guidance based on principles and learnings.
Experience building AI systems for scale with external customers in mind; enabling others through your work, delivering cohesion and speed.
A bias for action with a proven track record of delivering experiences from ground up, 0 > 1.
Ability to work through high ambiguity: define roadmaps for uncharted opportunities with nascent technologies.
Strong curiosity and willingness to learn.
Proven ability to collaborate across business units.
Effective communication with executives and senior leadership.
Ability to break down big visions into milestones and operationalize into high-velocity plans.
Data-driven mindset; develop and defend points-of-view with analytics, benchmarking, and customer insights.
Skill in gathering insights, testing opportunities, and synthesizing results.
Proven leadership in launching successful web/mobile products for great customer experiences.
Degree in data science, computer science, math, statistics, or related; other degrees or experience considered.
Self-awareness and a desire for continuous improvement.
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