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Sr. Staff / Staff Product Manager, Agentic AI

Mountain View, California, United States; San Francisco, California, United States

PayNot disclosed
LevelLead / Principal
Work modeOn-site
Job typeFull-time
Posted
10 Nov 2026
Checked
today, 07:20 IST
Source
company careers site via Company careers page
Open until
8 Jan 2027

About the job

Join a world-class growth team building the future of how small businesses discover, adopt, and grow with QuickBooks. Intuit QuickBooks is building the future of agentic accounting, leveraging LLMs, reasoning models, and computer-using agents. We're looking for a seasoned Product Manager to drive the strategy for this initiative. This involves designing and delivering robust AI agents capable of complex reasoning and task execution at massive scale, leveraging QuickBooks' unique data assets and business intelligence. You will define how these agents perform their tasks, how they collaborate with customers, and how we build trust and ensure accuracy with non-deterministic technology.

This role is hybrid, three days per week onsite in our Mountain View, CA office. Depending on team needs and business approval, there may be flexibility to be based out of our San Francisco office.

Responsibilities

  • Define, own, and articulate a compelling vision, strategy, and multi-year roadmap for agentic AI capabilities within QuickBooks, translating complex user needs and business opportunities into measurable outcomes.
  • Lead the ideation, technical development, and launch of innovative agentic AI features and experiences, partnering deeply with AI/ML engineers, data scientists, designers, and accounting experts to deliver high-accuracy, trustworthy, and confidence-building solutions.
  • Drive product definition and requirements for underlying AI models, agent orchestration logic, and human-in-the-loop processes, balancing user experience with the high bar for accuracy required in accounting
  • Design and execute data-driven experiments (including A/B testing and user studies) specifically to validate hypotheses related to agentic AI effectiveness, user trust, and impact on filer confidence and accuracy.
  • Build strong partnerships and influence roadmaps across senior leaders and teams to ensure cohesive strategy and execution for agentic AI initiatives.

Qualifications

  • 6+ years designing and delivering world-class software products focused on platform, data-intensive systems, or AI/ML-powered experiences.
  • Deep understanding and significant hands-on experience defining strategy for and shipping products leveraging Generative AI, complex Machine Learning models, Conversational AI or Agentic AI systems, to solve challenging user problems at scale.
  • Passion for tackling complex consumer problems, ideally within fintech, personal finance, tax, or related domains where user trust, accuracy, and data privacy are paramount.
  • Strong technical intuition; comfortable engaging deeply with engineering and data science on system architecture, model capabilities, APIs, and technical trade-offs. Ability to translate complex AI concepts into clear product
  • Bachelor’s degree required with a focus in Computer Science, Engineering, Data Science, Statistics, Economics, Business Administration, or related quantitative/technical field. An MBA or an equivalent experience will be considered.

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: Mountain View $188,500 - $255,000 San Francisco Howard Street, CA $188,500- $255,000

From Intuit's careers page (Company careers page), checked 13 Nov 2026.

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