Manager 3, Software Engineering

Company Overview

Job Overview

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:

1. Define and execute the technical strategy for key AI features and platform expansion across our global markets.
2. Build, mentor, and lead a high-performing team of software and AI engineers, establishing a world-class culture of technical excellence and innovation.
3. 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.

Qualifications

Core Experience

• 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).

Leadership & Strategic Acumen

• 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.

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: