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Manager 3, Software Engineering (AI-Native Products)

Intuit

$238,500 - $322,500
Dec 17, 2025
Mountain View, CA, US
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Intuit is looking to solve the problem of building the next generation of AI-native products and experiences that provide users with financial intelligence at scale

Requirements

  • Proven ability to design, build, and deploy large-scale AI systems or products
  • Experience building, managing, and scaling high-performing engineering teams
  • Sharp technical acumen to guide complex system design and key architecture decisions
  • Deep operational expertise in deploying AI-powered systems and platforms
  • Knowledge of AI frameworks, platforms, and tools with a strong understanding of engineering best practices
  • 10+ years of experience in developing and deploying large scale software engineering platforms and products
  • 5+ years of people management experience leading high performance engineering teams

Responsibilities

  • Own the end-to-end development and deployment of new, high-impact AI-native products and services that deliver transformative user experience
  • Define the long-term technical roadmap for the team, balancing immediate short-term experimentation and development to fulfil business needs and long-term platform health, scale, and maintainability
  • Champion and enforce engineering best practices related to security, observability, and scalability, ensuring our AI-native products are robust, highly available, and globally scalable
  • Mentor and coach engineers to advance their technical skills in AI and ML skills fostering a culture of continuous learning and technical mastery
  • Establish clear performance goals, conduct regular 1:1s, and provide timely, actionable feedback to ensure successful delivery of new products and experiences
  • Create an environment where the team is empowered to experiment with emerging technologies, propose novel solutions, and rapidly drive business impact
  • Partner closely with Leadership, Product Management, and AI Science and Engineering to translate business goals into a robust engineering strategy

Other

  • Bachelors or Masters degree in Computer Science, Engineering or a related discipline
  • 10+ years of experience in developing and deploying large scale software engineering platforms and products
  • 5+ years of people management experience leading high performance engineering teams
  • Strong communication and collaboration skills with the ability to influence executives, inspire teams, and partner across functions
  • Strategic leadership skills with a track record of defining priorities, driving execution, and aligning initiatives with business goals