Intuit is looking to drive the future of ML/LLM Ops within its AI Platform, making it easier for AI/ML practitioners to develop, deploy, and improve AI/ML capabilities in their products.
Requirements
- 8+ 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, other product managers to deliver successful AI/ML products, from ideation to launch and beyond.
Responsibilities
- Spearhead the development and execution of our AI Observability roadmap, ensuring alignment with Intuit's broader GenAI and ML platform strategies.
- Drive the implementation of robust AI Observability features, including: Model Monitoring Service, Model Registry and Lineage, Comprehensive Model Cards, An LLM Leaderboard
- 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.
Other
- Create user education and onboarding programs to grow adoptions of AI development best practice across the company.
- Excellent written and verbal communication skills with 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.
- Pay offered is based on factors such as job-related knowledge, skills, experience, and work location.