Manager 3, AI Science

Overview

Manage a global group of AI scientists teams dedicated to developing and deploying AI solutions that help ensure Trust and Safety across Intuit products and services. Drive research, development, and implementation of advanced AI along with ML technologies, while fostering a collaborative and innovative environment.

Responsibilities

• Lead global AI Science teams, specializing in Fraud and Content Moderation.
• Recruit and mentor top AI Scientists in Israel and US.
• Apply AI/ML to address Fraud and content issues, driving innovation and growth.
• Deliver impact through data-driven insights and advanced analytics.
• Provide technical and strategic leadership in AI science.
• Inspire AI innovations to enhance platform safety and fraud detection.
• Guide business stakeholders to interpret and utilize AI-first solutions and research findings.
  
  

• BS, MS, or PhD in an appropriate technology field (Computer Science, Statistics, Applied Math, Econometrics, Operations Research, Physics), or equivalent experience
• 4+ years’ experience as an established manager of AI Science teams, including managing team leaders.
• Innovative and disruptive technology leader, solving long-term strategic outcomes.
• Proficient in AI, machine learning, statistical modeling, and state-of-the-art tools, with a strong understanding of engineering best practices.
• Impeccable attention to detail and strong ability to convert complex data into insights and action plans.
• Strategic thinker, flexible problem solver, great listener, and team oriented.
• Able to effectively communicate a vision and inspire others to innovate.
• Work in collaboration with multi-disciplinary teams (such as: product, application development, legal, fraud strategy and analytics) to provide best-in-class algorithmic solutions to the product needs.
  
  

• Experience in Fraud and Safety domains, including content moderation, fraud detection, or security.
• Global team management experience.
• Experience in deploying AI solutions at scale.