Intuit TurboTax is building the future of AI-powered tax prep, leveraging Machine Learning, Pre-Trained Transformer Models, and Large Language Models for 1:1 personalization. We're looking for a seasoned Product Manager to drive the strategy for this initiative. This involves designing and delivering personalized tax prep features that can serve our heterogeneous customer cohorts and future agentic AI innovation at massive scale, leveraging Intuit's unique data assets and tax knowledge.
Requirements
- 5+ 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.
- 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
Responsibilities
- Define, own, and articulate a compelling vision, strategy, and multi-year roadmap for AI-powered personalization within TurboTax, translating complex user needs and business opportunities into measurable outcomes.
- Lead the ideation, technical development, and launch of innovative AI-powered tax prep 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, 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 AI model 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 AI-powered tax
Other
- Passion for tackling complex consumer problems, ideally within fintech, personal finance, tax, or related domains where user trust, accuracy, and data privacy are paramount.
- Bachelor’s degree required with a focus in Computer Science, Engineering, Data Science, Statistics, Economics, Business Administration, or related quantitative/technical field. An MBA is a Equivalent experience will be considered.
