Principal Technical Product Manager - Agentic AI

Principal Technical Product Manager - Agentic AI

Category: Product Management | Location: San Diego, California; Mountain View, California | Job ID: 19249

Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

Come join the Virtual Expert Platform (VEP) team, where our mission is to be the AI+HI (Human Intelligence) platform that unites the best of human expertise with AI to deliver transformational outcomes.

We are driving the flywheel of AI and HI: codifying human expertise to train AI, and building the infrastructure that allows us to leverage AI to continuously elevate HI expertise. We make these capabilities available across all Intuit products (TurboTax, QuickBooks, Mailchimp, Credit Karma). This is a rare opportunity to lead a paradigm shift in Fintech, solving the most critical and complex financial challenges for consumers and small businesses worldwide, and transforming Intuit from a software company into an AI-driven expert platform that fuels prosperity.

We are seeking a visionary Principal Technical Product Manager to architect Intuit’s next-generation Agentic AI Platform, supporting complex reasoning, autonomous task execution, and intelligent orchestration. You will be responsible for designing and delivering robust, scalable Agent Libraries and Execution Frameworks. This role delivers 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. You will 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. You will also 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.

Compensation and Benefits

Intuit provides a competitive compensation package with a strong pay-for-performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs. 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.

Expected base pay range for this position is:

• Bay Area California: $236,000-319,000
• Southern California: $213,500-288,500