Staff OR Sr. Staff Product Manager - Agentic AI (TurboTax)
Intuit
Mountain View, CA, US
Hybrid
2026-07-04
Announced salary
$173,500 - $278,000
Low
$99K
Median
$140K
High
$190K
Market in Mountain View · BLS OEWS 2024
Estimated net pay
$9,837 - $14,984
/month · 32% withheld
after tax & contributions · Single, no dependents
Job description
**Overview**
------------
Intuit TurboTax is building the future of Agentic tax preparation, 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 Intuit's unique data assets and tax knowledge. 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 offers a unique opportunity to disrupt an industry impacting millions of Americans with cutting\-edge technologies.
This role is hybrid, three days per week onsite in our Mountain View, CA or San Diego, 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 TurboTax, 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 tax 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 tax.
* 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 a
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