Manager 3, Software Engineering (AI Powered Tax)
Intuit · San Diego, CA · 2 wk ago
On-siteEngineering$238k–$322k/yrFull-time
Responsibilities
- Lead, coach, and grow a high-performing team of software engineers building customer-facing TurboTax experiences and/or the AI/platform capabilities that power them
- Drive end-to-end ownership of major TurboTax surfaces (web, mobile, services, AI agents) with simple, elegant, durable, scalable architecture
- Partner with Product, Design, Data Science, AI/ML, and Tax Content to deliver measurable improvements in conversion, completion, customer benefit, and NPS
- Bring thought leadership in AI/GenAI, agentic systems, and personalization to disrupt how consumers do their taxes
- Drive operational and engineering excellence — uptime during tax season peak load, quality, speed-to-market, developer productivity, and data-driven decision making
- Define and uphold engineering standards across the Consumer Group — code quality, CI/CD, observability, SRE practices, and incident response
- Coach and mentor engineers on modern architecture, AI-assisted development, and career growth; build a strong inclusive team culture
- Plan and run agile delivery — quarterly OKRs, sprint planning, backlog grooming, and clear stakeholder communication
- Operate effectively during the high-intensity US tax season (Jan–Apr), with strong incident and release management discipline
Qualifications
- BS/MS in Computer Science or equivalent work experience
- 8+ years of software development experience, including 2+ years managing software engineering teams
- Experience building consumer-scale SaaS or mobile applications (consumer fintech, tax, or e-commerce a strong plus)
- 3+ years of cloud experience building and operating services on AWS; experience with Lambda, container orchestration, and serverless is a plus
- Strong full-stack background: Java microservices, Spring Boot, Python, React/React Native, GraphQL/REST APIs
- Working knowledge of AI/ML and GenAI — LLMs, RAG, agents, evals — and how to apply them to customer experiences responsibly
- Strong understanding of SOA, distributed systems, and event-driven architectures
- Experience working with Product Management, Design, and Data Science partners to ship customer-facing features
- Knowledge of agile methodologies (Scrum/Kanban), CI/CD pipelines, observability, and SRE practices
- Track record of building diverse, inclusive teams and developing engineers' careers
- Excellent communication skills — able to translate complex technical decisions for both technical and non-technical audiences