Manager 3, AI Science (MLOps, AI)

Company Overview

Job Overview

We are looking for an experienced AI Science Manager 3 to join Intuit’s Virtual Expert Platform. You will lead and grow a highly talented team of AI scientists and ML engineers dedicated to shaping the future of Intuit’s products and expert tools. You will provide technical and strategic leadership, foster a culture of innovation, and ensure your team’s research and engineering efforts translate into breakthrough AI-powered experiences at scale.

Join the Virtual Expert Platform team, the driving force behind Intuit's expert service, sales, and workforce management (and other Operations Research topics), generating billions in revenue.

Responsibilities

• Provide technical and strategic leadership across multiple teams through a deep understanding of the technology space.
• Lead global AI Science and ML Engineering teams delivering transformative new experiences for Intuit’s customers.
• Build end-to-end AI systems that deliver net new AI capabilities or transformative customer experiences and deploy / integrate these systems in Intuit’s products and AI platforms.
• Shape and align team priorities with Intuit’s AI roadmap, ensuring delivery of impactful research and scalable solutions.
• Recruit, develop, and retain top AI talent, fostering career growth and building high-performing teams.
• Collaborate closely with business and platform stakeholders and guide them to build and deploy AI-first solutions.

Qualifications

• MS / Ph.D. in Computer Science, Statistics, Operations Research, or Applied Mathematics with focus on Artificial Intelligence / Machine Learning.
• 8+ years of experience in developing and deploying AI/ML solutions, with 5+ years of leadership experience.
• Proven ability to design, build, and deploy large-scale end-to-end AI Systems that are deployed stand-alone or integrated within Intuit’s products or AI platforms.
• Experience building, managing, and scaling high-performing AI teams (including AI Scientists, Machine Learning Engineers, and Software Engineers) while delivering measurable impact.
• Strategic leadership skills with a track record of defining priorities, driving execution, and aligning AI initiatives with business goals.
• Proficiency in AI frameworks, platforms, and tools with a strong understanding of engineering best practices.
• Strong communication and collaboration skills with the ability to influence executives, inspire teams, and partner across functions.
• Strong Computer Science / Data Science fundamentals including data structures, algorithms, performance complexity, data analysis, model training, A/B testing, and MLOps practices.

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). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:

Bay Area California $ 264,000- 357,500