Software Engineering Manager, Home Foundations

About the job

Google Home is transforming ambient intelligence and smart living for hundreds of millions of users worldwide. Delivering delightful, dependable smart home experiences requires an extraordinary foundation: rapid software iteration cycles, rock-solid test fidelity, and immediate, actionable quality signals from silicon to cloud.

As a Software Engineering Manager for Home Foundations, you will lead a high-impact team dedicated to revolutionizing developer velocity and software health. You will bring an AI-native mindset to re-imagine the developer loop-harnessing generative AI, autonomous agentic workflows, and predictive analytics to eliminate engineering friction. In this role, you are both a deeply technical architect and an inspirational people leader. You will challenge legacy paradigms, advocate boldly for velocity investments, and empower your team to build the next generation of intelligent tools, hermetic testing platforms, and full-stack observability systems.

Responsibilities

• Design and scale intelligent quality platforms and predictive verification pipelines to transform quality signals and eliminate engineering friction across hybrid device-cloud stacks.
• Provide deep technical guidance and conduct architectural reviews to ensure system resilience, security, and scalability.
• Recruit, mentor, and develop a high-performing engineering team while fostering a culture of psychological safety, bold experimentation, and continuous growth.
• Establish operational excellence by defining clear team OKRs/SLOs and balancing strategic long-term bets with high-urgency deliverables.
• Partner cross-functionally with architects, product managers, and leadership to lead developer productivity across Google Home and Devices and Services.

Qualifications

Minimum qualifications:

• Bachelor's degree in Computer Science, Electrical Engineering, Computer Engineering, a related technical field, or equivalent practical experience.
• 8 years of experience with software development in infrastructure, distributed systems, developer platforms, or systems engineering.
• 3 years of experience in engineering management, leading software engineering teams, and managing technical roadmaps and talent development.
• Experience in designing, building, and operating large-scale CI/CD pipelines, automated testing frameworks, or developer productivity platforms.

Preferred qualifications:

• Master’s degree or PhD in Engineering, Computer Science, a technical related field, or equivalent practical experience.
• Experience deploying Generative AI, LLMs, or Machine Learning solutions for developer productivity challenges (e.g., automated test synthesis, intelligent flakiness detection, code generation/refactoring agents).
• Experience leading technical transformations that improve organizational velocity and code quality metrics.
• Familiarity with consumer hardware/software development lifecycles, smart home protocols (Matter, Thread), embedded Linux/Android platforms, or cloud microservices.
• Understanding of core quality concepts (functional, unit, integration, and performance testing) with direct experience.
• Exceptional people management, stakeholder management, and technical communication skills to influence leaders.