Sr. Staff Product Manager: AI-Native ERP & Platform Experience

Intuit
Mountain View / San Diego, CA

About the job

As the Senior Staff Product Manager for AI-Native ERP & Platform Experience, you will drive the transformation of our ERP platform. You will own the end-to-end experience for our most complex customers, redefining how large-scale enterprises interact with their financial ecosystem. Your mission is to move beyond a 'system of record' toward an autonomous system of intelligence that solves core Jobs-to-Be-Done through seamless, AI-driven workflows and agents for key personas of our enterprise customer.

Responsibilities

Lead an AI-driven setup and customization experience that delivers instant-on value for large businesses and accelerates their path to a high-quality, business-ready configuration.

Define and scale integration patterns that enable third-party partners and developers to seamlessly extend the IES experience, ensuring external data, workflows, and agents are first-class citizens within an AI-native platform.

Create intuitive interaction patterns that integrate human expertise and support into AI-driven workflows so users can understand, guide, and trust autonomous financial systems.

Accelerate the strategy for AI-driven tailoring by crafting a platform approach for a personalized user experience

Own the rolling 12-month global roadmap for the IES platform and end to end experience, prioritizing platform extensibility, verticalization, and AI-native foundational capabilities that serve a broad range of enterprise-level use cases.

Work cross-functionally to ensure that core ledger capabilities, Fintech services, and partner integrations function as a single, cohesive experience for the enterprise customer.

Qualifications

Minimum

8-10 years in Product Management, with a proven track record of leading platform-scale transformations or building extensive API-first ecosystems (e.g., Salesforce, NetSuite, Shopify, or major FinTech platforms).

Bachelor's degree in Computer Science, Engineering, Business, or a related field, or equivalent practical experience.

Deep experience productizing AI/ML to solve complex data challenges, specifically in building autonomous agents, predictive insights, or intelligent categorization.

Extensive experience building for a developer/partner ecosystem, with a deep understanding of how to create extensible software that third parties can enhance.

Ability to simplify enterprise complexity into intuitive, AI-assisted journeys that reduce cognitive load for high-level decision-makers.

Sophisticated understanding of large-scale business needs, including multi-entity consolidation, global compliance, and complex data governance.

Proven ability to navigate a matrixed organization, aligning horizontal platform teams and vertical product leads under a single AI-native vision.

Adept at using 'Inside-Out' customer insights and 'Outside-In' market shifts to drive long-term platform investments.

Preferred

No preferred qualifications listed.