Manager 3, Software Engineering (Payment)

Intuit • New York, NY

42d

About The Position

Come join us as a Group Engineering Manager on the QuickBooks International Growth team. This is a high-impact, high-visibility role responsible for leading our core strategy to accelerate International growth by leveraging cutting-edge AI and Machine Learning technologies. We are seeking a seasoned, visionary engineering leader who will: Define and execute the technical strategy for key AI features and platform expansion across our global markets. Build, mentor, and lead a high-performing team of software and AI engineers, establishing a world-class culture of technical excellence and innovation. Drive measurable customer and business outcomes by shipping scalable, resilient, and insightful AI solutions for our International customers. Responsibilities This role requires a blend of deep technical expertise, strategic business acumen, and an unwavering commitment to talent development focused on customer impact Technical and Business Leadership Drive AI Innovation & Growth: Own the end-to-end development and deployment of new, high-impact customer-facing AI/ML capabilities that directly fuel customer acquisition, engagement, and retention across QuickBooks International. Strategic Execution: Define the long-term technical roadmap for the team, balancing immediate business needs with long-term platform health, scale, and maintainability. Cross-Functional Alignment: Act as a key technical partner to the Director of Engineering, Product Management, and Data Science leadership to translate business goals into a robust engineering strategy. Operational Excellence: Champion and enforce engineering best practices related to security, observability, and scalability, ensuring our AI/ML systems are robust, highly available, and reliable across all International markets. Talent and Team Development Build an Elite Team: Aggressively recruit, hire, and onboard top-tier AI/ML and platform engineering talent to rapidly scale the team's capabilities. Cultivate AI Expertise: Mentor and coach engineers to advance their technical skills in AI, MLOps, and scalable distributed systems, fostering a culture of continuous learning and technical mastery. Performance Management: Establish clear performance goals, conduct regular 1:1s, and provide timely, actionable feedback to ensure high individual and team Foster Innovation: Create an environment where the team is empowered to experiment with emerging technologies, propose novel solutions, and drive technical debt reduction.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field or equivalent experience.
• 7+ years of progressive experience in software development, with 4+ years in a management role leading high-performance engineering teams.
• Demonstrated success leading AI/ML projects from research/prototype to production scale, specifically in a high-growth, high-stakes environment.
• Experience with cloud-native architectures and developing resilient, scalable services (e.g., using AWS, GCP, or similar cloud platforms).
• Proven ability to drive business growth through the delivery of software solutions; experience in an international or global product context is a strong plus.
• Exceptional technical acumen and the ability to challenge, guide, and advise senior engineers on system design, architecture decisions, and operational complexity, particularly around AI/ML models.
• Recruiting & Mentoring Excellence: A proven track record of successfully attracting, interviewing, and developing top-tier engineering talent, specifically in the AI domain.
• Executive Communication: Superior verbal and written communication skills; ability to articulate complex technical ideas, strategies, and trade-offs to both technical and non-technical executive audiences.
• Data-Driven Focus: Proven record of making customer-centric, data-driven product decisions in partnership with Product and Program Management teams.

Responsibilities

• Drive AI Innovation & Growth: Own the end-to-end development and deployment of new, high-impact customer-facing AI/ML capabilities that directly fuel customer acquisition, engagement, and retention across QuickBooks International.
• Strategic Execution: Define the long-term technical roadmap for the team, balancing immediate business needs with long-term platform health, scale, and maintainability.
• Cross-Functional Alignment: Act as a key technical partner to the Director of Engineering, Product Management, and Data Science leadership to translate business goals into a robust engineering strategy.
• Operational Excellence: Champion and enforce engineering best practices related to security, observability, and scalability, ensuring our AI/ML systems are robust, highly available, and reliable across all International markets.
• Build an Elite Team: Aggressively recruit, hire, and onboard top-tier AI/ML and platform engineering talent to rapidly scale the team's capabilities.
• Cultivate AI Expertise: Mentor and coach engineers to advance their technical skills in AI, MLOps, and scalable distributed systems, fostering a culture of continuous learning and technical mastery.
• Performance Management: Establish clear performance goals, conduct regular 1:1s, and provide timely, actionable feedback to ensure high individual and team
• Foster Innovation: Create an environment where the team is empowered to experiment with emerging technologies, propose novel solutions, and drive technical debt reduction.

Benefits

• 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).

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Industry: Publishing Industries
• Number of Employees: 5,001-10,000 employees