Engineering Manager, GeminiApp Android and Chrome Integrations, DeepMind

Collaborate with cross-functional partners to define the strategy and technical roadmap for the team.Provide technical leadership, mentorship, and coaching to a team of strong engineers.Build relationships across the larger organization and influence technical decisions and priorities to align with the goal of the platform you are helping to create.Manage team project priorities, deadlines, and deliverables.Contribute to technical work, and review code developed by other engineers to ensure best practices.Minimum qualifications:Bachelor’s degree in Computer Science, a related technical field, or equivalent practical experience.8 years of experience in people management.Experience with software development in one or more of the following: web (e.g., JavaScript/TypeScript, React), iOS (e.g., Swift, Objective-C), Android (e.g., Kotlin, Java), backend or ML services.Experience building and shipping consumer-facing software products.Preferred qualifications:Experience leading through technical and organizational complexity.Excellent communication and people management skills, with the ability to articulate complex technical concepts clearly and concisely.Strong analytical and problem-solving skills, with a passion for solving challenging technical problems.Within the GeminiApp organization, the Gemini Android and Chrome Integrations team is focused on making the Gemini experience ambient across all surfaces. By deeply embedding Gemini into the Android OS, and the Chrome platform, we are able to meet users where they are, allowing them to invoke their Gemini assistant without being distracted from their current task. In this role, you will lead a newly forming team working on scaling innovations from GenAI into enterprise surfaces. You will manage and provide technical direction for a small team of engineers, partnering closely with Google Cloud to steer and build agent development and infrastructure projects. You will work on the boundary of GenAI research and Cloud infrastructure, shaping how agents are built, hosted, and deployed for enterprise use cases. You will spend most of your time directly contributing to architecture and code while guiding your team across projects like Gemini Spark (Sobi) and Antigravity, on components like agent memory and skills, and on future projects developed in collaboration between GenAI and Cloud.You will be passionate about leading and building a high-impact engineering team while remaining direct in technical design and coding. You will develop deep collaborations with other teams around Google to develop common goals and deliver impactful results. Working across research, infrastructure, and product to deliver the latest AI innovations to the world, you will deeply understand the engineering challenges of both research and enterprise-facing stacks. Additionally, you will also build and use agents, and explore the latest agentic developments inside and outside of Google.Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $207000 - $300000 (USD) + 20% bonus target + equity + benefitsLearn more about benefits at Google.Bachelor’s degree in Computer Science, a related technical field, or equivalent practical experience.8 years of experience in people management.Experience with software development in one or more of the following: web (e.g., JavaScript/TypeScript, React), iOS (e.g., Swift, Objective-C), Android (e.g., Kotlin, Java), backend or ML services.Experience building and shipping consumer-facing software products.