Group Product Manager, Autonomous Ops: Virtual Expert Platform

Responsibilities

• Define and own the product vision and strategy for the Virtual Expert Platform, with a strong focus on AI, HI, and AI + HI experiences that deliver exceptional customer and expert outcomes.
• Ensure the platform enables seamless, reliable, and scalable connections between customers and experts across Intuit’s ecosystem.
• Align platform strategy with Intuit’s broader Services, Customer Success, and Growth objectives.
• Lead roadmap development and execution across autonomous core platform capabilities such as forecasting, planning, AI-driven scheduling and real time data and decisions.
• Make clear, data-informed prioritization and investment decisions across features, platform foundations, and cross-system integrations.
• Engage deeply with customers, experts, and service delivery teams to understand end-to-end journeys and operational realities required for an autonomous operations platform.
• Translate lived experience and qualitative insights into scalable product solutions and measurable improvements.
• Define success metrics that reflect both customer/expert experience and platform health, including AI-driven and hybrid experiences.
• Use data, experimentation, and feedback loops to continuously improve outcomes.
• Lead, coach, and develop a high-performing team of product managers, setting a strong bar for product craft, ownership, and impact.
• Foster a culture of accountability, learning, and customer obsession.
• Help raise the bar for product leadership and execution excellence across platform.
• Partner closely with engineering, design, data science, and strategic business partners (Operations/Service Delivery) to embed the AI system and achieve scalable, autonomous solutions.
• Act as a unifying force across teams to drive clarity, alignment, and execution velocity.

Qualifications

• Operations & Platform Leadership Experience: Must have 8+ years of product leadership experience building and scaling complex platforms or workforce management systems, with demonstrated deep expertise in the end-to-end operational lifecycle in forecasting, planning, scheduling, and real-time operations.
• Proven hands-on track record of driving a paradigm shift toward autonomous, AI-driven systems that continuously predict and optimize outcomes in high-stakes, large-scale service environments.
• Experience in platforms, marketplaces, services, communications, or AI-enabled products is a strong plus.
• Proven ability to lead high-impact product areas end-to-end (E2E), from strategy through execution, delivering meaningful customer and business outcomes.
• Analytical & Data-Driven: 8+ years in a product leadership role demonstrating excellent analytical skills, using data, experimentation, and qualitative insights to inform decisions and measure success.
• Technical Fluency: 8+ years in a product leadership role engaging in technical discussions related to scalable platforms, AI-enabled systems, and reliability-critical services.