Staff Product Manager - AI Observability - Mountain View California

Company: Intuit
Location: Mountain View, California
Posted On: 02/02/2025

Come join the A2D (AI, Analytics, and Data) Product Team as a Staff Product Manager for AI Observability at Intuit. We're seeking a highly skilled and experienced AI Observability Product Manager to join our AI Platform team, driving the future of ML/LLM Ops within Intuit's cutting-edge ML/GenAI platform. The AI Platform provides Intuit's AI/ML practitioners across Intuit the means to achieve the highest possible impact with their work by making it easy to develop, deploy and improve the AI/ML capabilities in their products.Responsibilities

• Champion the Vision: Spearhead the development and execution of our AI Observability roadmap, ensuring alignment with Intuit's broader GenAI and ML platform strategies.
• Build Key Capabilities: Drive the implementation of robust AI Observability features, including:
  • Model Monitoring Service
  • Model Registry and Lineage
  • Comprehensive Model Cards
  • An LLM Leaderboard
  • Create user education and onboarding programs to grow adoptions of AI development best practices across the company.
  • Ensure product success from ideation, execution, to launch, ongoing support, and improvements of the roadmap.
  • Collect feedback and understand user needs from AI/ML practitioners and BU stakeholders, derive requirements, analyze trade-offs, and prioritize areas of investments.
  • Collaborate closely with cross-functional teams-data scientists, ML engineers, and developers-to gather requirements, translate them into actionable plans, and deliver impactful solutions.
  • Stay at the forefront of AI/ML trends and technologies to drive innovation, identifying opportunities to enhance our platform's capabilities and deliver exceptional user experiences.Minimum Requirements
    • 5+ years of product management experience in AI/ML, with a focus on model development, deployment, and monitoring in a fast-paced, rapidly evolving environment.
    • High degree of technical understanding to be able to closely collaborate with engineers, architects, and AI/ML practitioners in both strategic and tactical discussions.
    • Deep understanding of ML/LLM Ops principles, and the AI development lifecycle.
    • Strong technical acumen, with the ability to translate complex technical concepts into clear product requirements.
    • Proven track record of working effectively with engineers, data scientists, and other product managers to deliver successful AI/ML products, from ideation to launch and beyond.
    • Excellent written and verbal communication skills with the ability to present technical content to non-technical audiences and work with cross-functional teams to drive real business impact.
    • Strong capability to influence and collaborate effectively across all levels of the organization.Preferred Qualifications
      • Experience with cloud-based AI/ML platforms (e.g., AWS SageMaker, Google AI Platform).
      • Familiarity with open-source AI/ML frameworks and tools (e.g., TensorFlow, PyTorch, Hugging Face).
      • Passion for building responsible and ethical AI solutions.
      • Familiarity with Intuit's product offerings.
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