Staff Product Manager - AI

Overview We are looking for a highly motivated and experienced Staff Product Manager to join our team and build the future of our ecosystem. In this role, you will lead the strategy and execution for critical product pillars, shifting from manual workflows to "done-for-you," agentic AI experiences that customers can trust. You will own high-complexity product areas, driving requirements for platform capabilities that operate at massive scale. You will be a systems thinker, moving beyond single features to build reusable, durable systems that serve many teams across the Intuit ecosystem. Whether focused on conversational AI interfaces, automated workflows, or high-scale platform services, you will partner deeply with engineering and design to deliver step-change customer benefits. Responsibilities Own the Vision and Strategy Define the strategic roadmap for your domain, aligning product investments with business goals to drive growth and customer prosperity. Lead the shift toward 'Autopilot' and agentic experiences, building systems that behave like high-performing admins while ensuring customers remain in total control. Drive AI-Assisted Excellence Leverage AI to develop 'invisible compliance,' catch anomalies, and navigate UX challenges such as latency and hallucinations. Build AI-native workflows with a drive towards conversational AI interfaces. Rapidly iterate on UI designs, perform data analysis, and accelerate cross-functional delivery. End-to-End Experience Ownership Design high-quality, end-to-end product experiences across multiple products and domains, maintaining a high bar for product excellence and ease of use. Own the delivery of foundational experiences that define how customers interact with our agentic ecosystem through natural language conversations. Partner with engineers and designers to experiment and launch experiences that serve small and mid-market businesses with emerging AI technologies. Cross-Functional Collaboration & Influence Partner closely with Engineering, Data Science, Design, and Legal to facilitate trade-offs between customer experience and technical feasibility. Consult with teams across the organization to elevate the customer experience, managing dependencies and building shared understanding through data-backed storytelling. Scale your work to teams across the ecosystem, building reusable systems that serve many teams simultaneously. Data-Driven Decision Making Take a data-driven approach to defining success metrics and prioritizing requirements, driving the business toward provable trust. Gather insights from customers, identify and test opportunities, and synthesize results to continuously refine product approaches. Create strategies and roadmaps based on data to inform product and platform investments needed to take our products to the next level. Qualifications 5+ years of experience in product management, ideally within a world-class environment known for high complexity and technical excellence. Proven track record of delivering complex, user-facing features from concept to launch, with specific expertise in building AI-native workflows leveraging generative AI. Deep comfort with ML/LLM-powered automation, complex data pipelines, and evaluation loops; ability to engage meaningfully in architecture and design discussions. Strong understanding of conversational AI, including LLM-based interfaces, prompt engineering, and the unique UX challenges of generative AI products. Experience partnering closely with product development and design teams to facilitate trade-offs between customer experience and technical feasibility. Mastery of innovation frameworks such as Customer-Driven Innovation (CDI) and Design for Delight (D4D) to solve important, unsolved customer problems. Ability to turn customer pain into a durable execution plan, moving fast in ambiguity while building 'provably trustable' systems. Demonstrated history of taking on increasing responsibility, exhibiting clarity of thinking, and end-to-end ownership to deliver impactful results. Ability to think beyond a single feature to build reusable systems that serve many teams — a true systems thinker. Bachelor's degree in a technical field (Computer Science, Electrical Engineering, Statistics, Math, or a related discipline) is required to partner effectively with engineering. Advanced degree or MBA is a plus. Benefits Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will 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 New York $186,500- $252,500 #J-18808-Ljbffr Intuit