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# Manager 3, Software Engineering

- **Company:** Intuit Inc.
- **Location:** Mountain View, CA, United States
- **Experience:** Expert
- **Salary:** $244,000.0 - $330,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Code Generation, Continuous Integration, Programming Tools, Software Engineering, TypeScript, Management of Software Versions, Policy as Code, ReactJS, Swiftui, System Availability, Multi-Agent Systems, Technical Debt, Generative AI, Material UI, Jetpack Compose, Code Inspection, Api Design
- **Published:** August 23, 2026
- **Apply:** https://dejobs.org/x/x/C9A219AD2E68438AB2888AACB387F860/job/

## About the Role

* 8+ years of software engineering experience, including experience managing engineers or engineering teams.
 * Proven track record building or operating shared platforms, developer infrastructure, design systems, or component libraries consumed by many teams.
 * Strong technical depth in architecture, API design, platform reliability, versioning strategies, staged rollouts, and breaking-change management for widely consumed systems.
 * Demonstrated experience leading complex, multi-team initiatives with significant cross-organizational dependencies while balancing near-term delivery, technical debt, and long-term maintainability.
 * Experience with modern web or mobile technologies such as React, TypeScript, SwiftUI, Jetpack Compose, and CI/CD practices.
 * Applied AI fluency, with experience using generative AI, agentic systems, AI-assisted code generation, or MCP-based tooling to improve developer workflows.
 * Experience with self-service developer tooling, including code generation, automated migrations, linting, policy-as-code, design tokens, theming, or asset pipelines.
 * Strong communication and stakeholder management skills, with the ability to influence technical and non-technical leaders and treat internal developers as customers.

## Description

* Build, mentor, and develop high-performing engineering teams and technical leaders across web, mobile, platform infrastructure, and AI-native tooling.
 * Partner with product, design, architecture, and platform teams to define strategic roadmaps, sequence investments, and manage complex cross-organizational dependencies.
 * Drive scalable component and runtime foundations with strong versioning, backward compatibility, release safety, and independently managed dependencies.
 * Champion AI-native and self-service development through paved roads, machine-readable component contracts, AI skills, MCP-based tooling, agentic workflows, and generative UI.
 * Scale governance through extensible tokens and themes, automated policy enforcement, migration tooling, linting, dashboards, and drift detection.
 * Drive operational excellence through strong reliability, observability, incident management, and platform health, adoption, and performance metrics.
 * Foster a strong engineering culture focused on technical excellence, customer empathy, accountability, and sustainable execution across concurrent workstreams.


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