Staff Product Manager, Operations

About the role

The Staff Product Manager, Operations will focus on building the strategic frameworks, architecture, and autonomous AI workflows that power our product engine.

Responsibilities

• AI Architecting and Workflow Engineering
  • Architect and deploy AI-driven workflows and autonomous agents to transform manual, fragmented operations into streamlined, well-orchestrated processes requiring minimal PM intervention.
  • Drive a 180-degree transformation of the product organization, moving beyond incremental improvements toward full operational automation and peak efficiency.
  • Leverage cutting-edge AI tooling and "vibe coding" capabilities to rapidly prototype and implement solutions that cut through organizational noise, ambiguity, and manual work such as the work to manage and run our Monthly Product Review.
• Autonomous Launch Architecture & Release Gates
  • Architect automated systems for cross-functional alignment and launch readiness in partnership with PD, XD, and TPMO.
  • Build scalable, self-serve launch frameworks and automated playbooks that empower Marketing, Sales, Support, and Engineering teams without manual oversight.
  • Establish and track key performance indicators (KPIs) in partnership with PD for product launches and post-launch performance.
  • Build and formalize the strategy and "Forward Deploy" operational model for deep engagements with accounting firms to co-create and deploy custom AI agents.
  • Automate the end-to-end release management lifecycle, including intelligent tracking through Pilot, Beta, and GA phases, and AI-driven translation of technical descriptions into customer-ready content, in partnership with TPMO.
• Automated Feedback Loops
  • Engineer the strategy and AI infrastructure for Early Access Programs, automating the transition of testers into reference customers through intelligent engagement workflows.
  • Deploy autonomous agents to collect, aggregate, and prioritize VoC data from disparate channels, turning feedback into a real-time data stream for product teams.
  • Work with Product Managers to translate customer and operational insights into actionable product improvements and roadmap decisions.
  • Architect scalable, low-manual-touch processes to identify and automate mitigations for high-risk churn signals and customer dissatisfaction.

Qualifications

• Bachelor's degree in Business, Computer Science, Engineering, or a related field.
• Minimum of 8-10 years of experience in Product Management, Software Engineering, Product Operations, or a related operational role, preferably in a fast-paced Enterprise-level technology company.
• Proven track record of defining and implementing operational improvements that have resulted in demonstrable business impact.
• Deep expertise in the modern AI landscape, with the ability to leverage AI-first tooling (e.g., LLM orchestration, automation agents) to replace traditional, manual product management overhead.
• Fearless leadership and a builder mindset; someone willing to go against "the typical Intuit way" to achieve radical efficiency and operational excellence.
• Hands-on mastery of "vibe coding" using LLMs and natural language to rapidly build, iterate, and deploy functional operational tools and prototypes.
• Strong analytical and problem-solving skills, with an ability to distill complex data into clear, actionable insights.
• Excellent written and verbal communication skills, capable of presenting complex operational concepts to executive leadership.

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).