Senior Product Manager - Tech Strategic Programs

The Technology Strategic Programs organization delivers for Intuit and Tech Strategy by transforming and driving how our technology ecosystem operates to accelerate outcomes for our customers. This small, yet mighty team works with senior leaders and partners across the company. We focus on strategic planning, the operating rhythm, executive narratives, workforce programs, and delivering intelligent insights that accelerate execution across the tech portfolio and our highest-priority business growth areas.

We are building the execution intelligence layer for Intuit: a governed, enterprise-scale data platform that ingests program and portfolio data from the systems where work actually happens, resolves entities across all of them, and serves one trusted, cited view to any AI agent, assistant, or dashboard that needs it. Today, execution data is fragmented across collaboration, planning, and delivery tools. Every program manager rebuilds the same context from scratch, friction surfaces as escalation rather than early signal, and leaders pay a coordination tax to answer basic questions about how we are tracking against our commitments.

Our platform makes that context durable - across sessions, across people, and across whatever AI tool comes next.

We are looking for a Senior Staff Product Manager to own this product end to end. You will set the strategy and roadmap, drive prioritization of data onboarding across sources and customer segments, and translate the needs of program managers and senior technology leaders into crisp, buildable requirements for a platform that is equal parts data infrastructure and AI-native experience. This is a rare opportunity to build a product whose customers are the people running Intuit's most important work - with the visibility, ambiguity, and leverage that comes with it.

Responsibilities

• Own the product end to end.
  
  Define and evolve the vision, strategy, and multi-quarter roadmap for the execution data platform and the AI experiences built on it - from data ingestion and entity resolution through agents, skills, briefings, and portfolio-level insights.
• Drive prioritization of data onboarding.
  
  Own the sequencing decisions that determine the platform's value: which data sources to integrate next, which programs and organizations to onboard, and what 'good enough' data quality looks like at each stage. Make these calls transparently, with a clear framework and a defensible read of customer impact versus cost.
• Translate customer needs into requirements engineers can build from.
  
  Spend real time with program managers, goal owners, and technology leaders to understand their jobs-to-be-done. Turn messy, high-stakes workflows into problem statements, requirements, data contracts, and success metrics that hold up under scrutiny.
• Define durable, reusable capabilities.
  
  Expand individual business needs into capability strategies - ensuring cross-capability durability and AI reusability, so each new source, entity, or skill compounds rather than fragments. Prevent one-off builds from becoming the product.
• Partner deeply with engineering and architecture.
  
  Facilitate technical decisions and trade-offs with an AI-first mindset - retrieval and grounding strategy, entity resolution approach, freshness versus cost, agent orchestration, evaluation and quality bars. Hold a high bar for answers that are accurate, cited, and trustworthy.
• Own trust, privacy, and governance as product surface.
  
  Work with security, legal, privacy and compliance partners to define access controls, tenancy isolation, consent, and auditability - and design the transparency experience that earns adoption incrementally rather than demanding it upfront.
• Set the metrics and manage to them.
  
  Define the customer benefit and business outcome metrics for the platform, instrument them, and use data, experimentation, and AI-assisted analysis to drive prioritization and demonstrate impact.
• Build the coalition.
  
  Influence and align product, engineering, program management, and business teams that each have their own roadmaps and incentives. Navigate the tension between long-term platform investment and near-term customer commitments, and bring people along with data-driven storytelling.
• Represent the product at every altitude.
  
  Communicate strategy, progress, and trade-offs credibly to individual contributors and to CTO-level leadership, in written narratives, demos, and live forums.
• Raise the bar around you.
  
  Mentor product managers, coach AI…