Manager 2, Software Engineering (AI Driven Development)

Responsibilities

• Lead, grow, and develop a team of software engineers responsible for indirect tax determination, calculation, and e-filing systems, ensuring high engineering standards and strong delivery execution.
• Create customer-driven software products that simplify and solve for current customer needs while building for the future.
• Create a shared vision and build and maintain strong cross-functional relationships and alignment with partners across the business (e.g., Program Management, Business Analysts, and Development Managers across the org).
• Inspire others through action, creating a spirit of collaboration for the benefit of our customers; bring out the best ideas from the best engineers by empowering them and leading by example.
• Champion engineering best practices — code quality, testing, and architecture reviews — while staying hands-on enough to guide technical decisions and unblock the team.
• Drive AI-Native Engineering: Lead the adoption of GenAI platforms and AI-assisted workflows within your teams to accelerate delivery, optimize code quality, and build intelligent features directly into the tax platform.
• Scale and Direct Multi-Pod Teams: Lead, structure, and scale a large engineering organization (across multiple pods and tech leads), fostering operational excellence, team health, and high execution standards.

Qualifications

• 4+ years of experience as a people manager or established technical leader of software engineering teams that have delivered customer-facing or compliance-critical software products.
• 8-12+ years of hands-on software development experience, with a track record of building reliable, scalable backend systems; experience in tax, fintech, or other regulated/compliance-driven domains is a strong plus.
• Demonstrated ability to lead through ambiguity, empower engineers, and cultivate a strong team culture while managing multiple concurrent workstreams and deadlines.
• Expertise in the Software design/architecture process.
• Hands-on experience while managing.
• Experience with Frontend technologies.
• Experience with Agile development and methodologies and SaaS technologies.
• Possesses strong verbal and written communication skills.
• Preferably - experience working with global teams.
• Deep Fintech Domain Expertise: Proven experience building and operating high-availability, fault-tolerant platforms within fintech, payments, or tax compliance ecosystems where data integrity and transaction accuracy are non-negotiable.
• Large-Scale Team Leadership: Demonstrated success managing large engineering organizations (including managing other managers or tech leads) through complex, multi-system initiatives.
• AI-First Mindset & Execution: Practical experience leveraging AI technologies (e.g., LLM integrations, AI-driven development tools, automated testing models) to drive engineering efficiency and product innovation.
• Strong Technical Architecture Background: Deep technical grounding in distributed backend systems, microservices, and SaaS architecture, with the ability to participate in high-level system design and evaluate complex technical trade-offs.
• BSc/MSc in Computer Science or equivalent work-related experience.

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may 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.