Principal Product Manager, AI Workflow Enablement Lead

Responsibilities

• Drive blueprint-led redesign with AI Champions across non-engineering functions.
• Apply approved blueprint patterns to the workflows we prioritize.
• Coach Champions through configuration, integration, evaluation, and rollout in their real work, not in training settings.
• Hold the line on blueprint standards.
• Design redesigns to stick.
• Set baselines before launch.
• Instrument the pre-state with the Telemetry and Insights Lead.
• Align role expectations and habits with HR Craft Leaders.
• Validate the post-state.
• Treat behavioral adoption as a design constraint from day one, not a retrofit.
• Drive blueprint adoption, not workflow possession.
• The redesigned workflow is the default execution model in production.
• The function owns it after you step back.
• The hand-off is the deliverable, not the redesign itself.
• Surface friction back to platform and architecture.
• Identify where blueprint patterns break down, where the platform is missing capability, and where governance creates drag.
• Feed signal to the Enterprise Solution Architect and the platform engineering team.
• Maintain the redesign portfolio view.
• Make redesigns in flight, baselines committed, value captured, and risk visible at any moment.
• Keep prioritization honest.
• Resist pressure to take on work that does not meet the bar.

  Qualifications

  • 12+ years of progressive experience designing, building, or operating production AI/ML systems, agentic workflows, or enterprise workflow platforms.
  • At least 3 years driving change inside other people’s organizations.
  • Demonstrated track record of taking AI-powered workflows from prototype into in-production adoption at enterprise scale.
  • Experience influencing and aligning VP-level and above stakeholders on workflow strategy and investment decisions.
  • Bachelor’s degree required. Computer Science, Engineering, or a related technical field preferred.
  • Preferred Master’s degree in Computer Science, Engineering, or a related technical field.
  • Background in enterprise HR, Finance, Legal, Marketing, or Customer Success technology.
  • Experience designing or implementing responsible AI frameworks, evaluation pipelines, or AI governance programs.
  • Prior experience as a forward-deployed engineer or AI solutions architect inside a customer’s organization.

  Benefits

  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).

  The Expected Base Pay Range For This Position Is Mountain View $243,000 - $328,500 San Diego, CA $230,000- $311,000