Intuit is looking to solve the problem of providing personalized tax prep features to its heterogeneous customer cohorts using AI-powered technology, leveraging Machine Learning, Pre-Trained Transformer Models, and Large Language Models for 1:1 personalization.
Requirements
- 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 requirements.
- Experience with platform, data-intensive systems, or AI/ML-powered experiences.
- Knowledge of computer science, engineering, data science, statistics, economics, business administration, or related quantitative/technical field.
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
- Bachelor's degree required with a focus in Computer Science, Engineering, Data Science, Statistics, Economics, Business Administration, or related quantitative/technical field.
- 5+ years designing and delivering world-class software products.
- Passion for tackling complex consumer problems, ideally within fintech, personal finance, tax, or related domains where user trust, accuracy, and data privacy are paramount.
- Ability to work with senior leaders and teams to ensure cohesive strategy and execution.
- Equivalent experience will be considered in lieu of degree requirements.
