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Intuit Senior Software Engineer India, Karnataka, Bengaluru 676325893
24.04.2025
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 agentic AI initiatives.
Qualifications
- 6+ years designing and delivering world-class software products, with at least 5+ years in a Product Management role 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, Agentic AI systems, complex Machine Learning models, or Conversational AI 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 requirements.
- Bachelor’s degree required with a focus in Computer Science, Engineering, Data Science, Statistics, Economics, Business Administration, or related quantitative/technical field preferred. An MBA is a plus. Equivalent experience will be considered.
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