Intuit
Manager 3, AI Science (MLOps, AI, Data Science)
$264K–$358K
Mountain View, California +1 · Manager · Full-time · Posted Sep 22, 2026
- Location
- Mountain View, California
San Diego, California - Experience
- 10+ years in AI/ML, Data Science, or MLOps; 3+ years of people management. Multiple years applying advanced analytics techniques is stated as highly preferred.
- Education
- Bachelor's degree in Computer Science, Statistics, Data Science, or a related quantitative field; alternatively, an applied field such as Cognitive Sciences, Psychology, or Economics combined with an advanced degree in a quantitative field or AI. Master's or PhD preferred.
About the job
Leads a multi-team AI Science organization, setting technical direction and building production AI, data, and semantic systems across marketing technology, data, and third-party data acquisition.
What you'll do
- Set AI and platform strategy, including semantic-layer verification, digital twins, and anomaly detection.
- Lead teams delivering production models, data pipelines, and agent-ready systems; partner with Product, Design, and Engineering.
- Scale team leadership, operational practices, and adoption of shared AI platforms.
What they ask for
- 10+ years of experience in AI/ML, Data Science, or MLOps, with technical depth in a core area.
- 3+ years of people management, including managing principals or senior/staff-level ICs across multiple teams.
- Experience shaping AI/ML technical strategy and architecture at scale, and operating production ML systems and data pipelines.
- Bachelor's degree in a related quantitative field or the stated applied-field and advanced-degree combination.
Nice to have
- Experience with generative AI, LLMs, agentic AI, reinforcement learning, fine-tuning, or prompt optimization.
- Master's or PhD; experience with digital twins, self-learning data systems, third-party data integration, or scaling AI Science teams.
Pay
Mountain View USD 264,500 - 357,500 base salary
Tools
Python, ML frameworks, AWS, GCP, Databricks, LLMs
AI focus
Leads AI/ML and MLOps, agentic AI evaluation, semantic-layer science and verification, anomaly detection, digital-twin modeling, and adoption of AI/GenAI systems.
Model-written summary · the original posting is authoritative