Principal Technical Product Manager - Agentic AI

About the role

The Principal Technical Product Manager will architect Intuit’s next-generation Agentic AI Platform, focusing on complex reasoning, autonomous task execution, and intelligent orchestration. This role will deliver core common capabilities, making complex agentic behaviors, multi-step planning, and orchestration easily consumable for product teams.

Responsibilities

• Define the Agentic Framework: Define, own, and articulate a compelling vision and roadmap for the core execution platform, ensuring it is flexible enough to support diverse use cases.
• Build Reusable Assets: Lead the development of reusable agent libraries and SDKs that standardize how agents are built, deployed, and managed, partnering deeply with engineers and architects to ensure developer velocity.
• Architect for Extensibility: Champion a "Platform First" architecture by defining requirements for extensible execution lifecycles. Ensure the platform supports critical extension points for custom logging, validation, decision modification, and robust error handling.
• Drive Orchestration Logic: Drive product definition for advanced orchestration capabilities, including multi-step planning execution, enabling agents to decompose complex problems into logical sequences.
• Ensure Observability & Trust: Design and execute strategies for agent observability, ensuring we can trace execution paths, monitor plan validity, and maintain high performance and trust at scale.
• Influence & Mentor: Practice boundaryless collaboration, building strong working relationships and influencing roadmaps across senior leaders. Mentor and raise the bar for other Product Managers on technical fluency and platform thinking.

Qualifications

• Experience: 8+ years of product management experience.
• AI & Platform Depth: Deep understanding and significant hands-on experience defining strategy for and shipping products leveraging LLM-based agentic systems, or workflow orchestration at scale.
• Technical Fluency: Strong technical intuition; comfortable engaging deeply with engineering on framework design, API contracts, state management, and the software lifecycle of AI agents.
• Strategic Translation: Proven ability to translate complex technical concepts (like execution loops and interception logic) into clear product requirements and strategic narratives.
• Customer Obsession: A staunch advocate for both end-users and the internal developer customer, solving for their friction with urgency.
• Speed as a Habit: Ability to operate in a fast-moving environment, make quick, data-driven decisions with imperfect information, and execute fiercely to deliver outcomes.
• Curiosity: A high degree of curiosity, a learning mindset, and a bias towards experimentation to learn quickly.
• Education: Bachelor’s degree required with a focus in Computer Science, Engineering, Data Science, or a related quantitative/technical field preferred. An MBA or advanced technical degree is a plus.