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Hybrid - Mid-Level Product Manager - Intuit - Mountain View, CA

S M Software Solutions
Contract
On-site
Mountain View, California, United States
Product Manager

About the Role

Join Intuit as a Product Manager on the Expert Management team within Customer Success. At Intuit, we’re redefining the industry by combining professional services with data-driven insights and a distributed expert workforce. Our mission is to deliver a seamless customer experience powered by cutting-edge technology and service operations.

In this critical role, you'll help shape the vision, strategy, and execution of the Expert Lifecycle Management Platformβ€”a core part of our transformation journey. You’ll work cross-functionally with engineering, data science, customer success, and business leaders to identify key problems, define product requirements, and deliver impactful solutions at scale.

Key Responsibilities

  • Drive end-to-end product development, from discovery to launch, for the Expert Lifecycle Management Platform.

  • Collaborate with cross-functional teams to define and prioritize the product roadmap.

  • Leverage data insights to inform decision-making and optimize user experience.

  • Partner with stakeholders across a matrixed organization to deliver cohesive platform features.

  • Ensure product delivery aligns with customer needs, business goals, and technical feasibility.

  • Contribute to the evolution of service operations through AI-enhanced experiences and intelligent workflows.

Qualifications

  • 7+ years of experience in Product Management, delivering world-class consumer or enterprise software products.

  • Proven success managing the full product lifecycle in a fast-paced, agile environment.

  • Strong stakeholder management skills within a matrixed organization.

  • Exceptional project management capabilities with the ability to lead complex initiatives.

  • Passion for creating intuitive, customer-focused solutions.

  • Bachelor's degree in Engineering (BE/B.Tech or equivalent).

  • Data proficiency: Solid experience with SQL and analytical tools.

  • AI exposure: Familiarity with prompting and applied AI technologies is a plus.