Director, Engineering, AI Studio, Gemini API Job at Google DeepMind in Mountain

Mountain View, California, US Snapshot Join Google DeepMind's high-visibility AI Studio and Gemini API team and play a pivotal role in shaping the future of AI development! As a Software Engineering Manager, you will lead and grow a team of exceptional software engineers, while still maintaining a deeply technical understanding and influence over critical Gemini API features that empower developers worldwide. This role demands a proven track record of delivering highly scalable, high-performance AI solutions, often leading complex technical initiatives from inception to launch. You'll collaborate closely withproduct managers, Technical Program Managers (TPMs), and fellow engineers,providing technical leadership and mentorship while maintaining a significant codingpresence. If you are an exceptional leader with a strong understanding of AI concepts,a history of driving architectural decisions, and a passion for both buildinggroundbreaking technology and empowering people, we want to hear from you!You can see some of our work at aistudio.google.com. About Us Artificial Intelligence could be one of humanity’s most useful inventions. At GoogleDeepMind, we’re a team of scientists, engineers, machine learning experts and more,working together to advance the state of the art in artificial intelligence. We use ourtechnologies for widespread public benefit and scientific discovery, and collaboratewith others on critical challenges, ensuring safety and ethics are the highest priority. The Role We are looking for a Director of Engineering who is passionate about making GeminiModels win the hearts and minds of developers. This role is motivated by the criticalcapabilities we can build on top of Gemini models and externalize to the world. Youwill operate with significant autonomy, leading a team to drive technical directionand execution for key areas of the Gemini API and serving infrastructure. Key responsibilities : Lead, mentor, and grow a team of Software Engineers, fostering ahigh-performance culture, promoting technical excellence, and ensuring careerdevelopment for your direct reports. Define and drive the technical strategy and roadmap for highly scalableand robust Gemini API features and infrastructure, used to externalize GeminiModels and their tooling ecosystem to external developers. Oversee and guide the scaling of the Gemini Model serving stack tohandle billions of requests per day and support millions of developers, ensuringthe team identifies and resolves complex performance bottlenecks. Provide architectural oversight and strategic direction for significantcomponents within the entire lifecycle of the Model serving stack, fromresearch and internal testing to externalization via API and AI Studio. Contribute to hands-on development as needed, especially for critical pathitems, complex architectural decisions, or to unblock the team, while primarily focusing on managerial responsibilities. Drive the productionization of new generative AI technical stacks,ensuring the team delivers robust, production-scale features. Collaborate strategically with partner Product Areas / teams at a seniorlevel to advance LLM state-of-the-art techniques and realize significantreal-world product impact. Own the operationalization strategy for Gemini models fromresearch / internal testing to external developers in production, setting thestandards for reliability and scalability. Innovate and implement solutions to build a production environment that canreliably scale to billions of requests, ensuring high availability and low latency. Manage project priorities, deadlines, and deliverables, effectively allocatingresources and mitigating risks. About You In order to set you up for success as a Software Engineering Manager at GoogleDeepMind, we look for the following skills and experience : Master's degree in Computer Science or a related technical field, or equivalent practical experience. 15 years of experience in software development, including significantexperience in a technical leadership or management role, leadinghigh-performing engineering teams. Proven experience managing, mentoring, and developing a team ofsoftware engineers, including performance management, career growth, andfostering a collaborative team environment. Expert-level proficiency in software architecture, distributed systemsdesign, and scalable infrastructure. Proven track record of leading complex technical projects from conceptionto launch, demonstrating significant impact. Demonstrated ability to drive inter-team and cross-functional collaborationat a senior leadership level. Exceptional problem-solving skills with a proven track record of innovativeideas and excellent execution in challenging technical domains. Deep understanding of code collaboration best practices and experiencewith large-scale monorepos. In addition, the following would be an advantage : Extensive experience with Generative AI models and applications, eitherthrough direct development or strategic oversight. Experience with Full-Stack Development, particularly in environments thatinteract with complex backend AI services. Proficiency in one or more general-purpose programming languages (e.g., Go,Python, Node.js, C++, Kotlin) relevant to large-scale systems. The US base salary range for this full-time position is between $294,000 - $414,000 bonus benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process. Note : In the event your application is successful and an offer of employment is madeto you, any offer of employment will be conditional on the results of a backgroundcheck, performed by a third party acting on our behalf. For more information on howwe handle your data, please see our Applicant and Candidate Privacy Policy. At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know. 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