Snapshot As an Operations Manager in the International Operations Team, you will partner closely with local leaders and global operational teams to ensure an exceptional work experience across a subset of our global office locations. You will be a conduit for information across borders and act as a beacon for the Google DeepMind culture and values, motivating change, and engaging your stakeholders through the planning and delivery of programs, processes, events and other initiatives. You ll collaborate with a wide range of Research, Engineering and Operational disciplines to continuously evolve and improve company wide processes bringing your unique local contextual understanding to ensure they are scalable and fit for purpose. About us Artificial Intelligence could be one of humanity s most useful inventions. At Google DeepMind, 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 our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. The role The Operations Manager independently manages and delivers projects, ensuring alignment with overall program objectives. This involves planning, organizing, problem solving and implementing change, while collaborating effectively with local leaders, cross-functional teams and stakeholders. This role acts as the operational point of contact for regional team members and cross-functional teams, partnering closely with local and global operational teams to deliver projects, enhance processes, resolve issues, and ensure an exceptional workplace experience. Key responsibilities Project Planning and Execution: Develop and implement project plans, timelines, and tracking documents, ensuring alignment with program goals and objectives. Problem Solving and Process Improvement: Independently identify and recommend solutions to defined problems, proactively anticipating challenges and improving processes within projects. Stakeholder Management: Build and maintain strong relationships with stakeholders, understanding their needs and effectively communicating site and project updates. Knowledge Sharing and Mentorship: Share local and global knowledge and expertise with colleagues, contributing to the development and improvement of GDM tools and processes. Operational Oversight: Oversee and continuously improve daily operations for multiple offices across a region. Cross-Functional Partnership: Advise and collaborate with cross-functional teams to align priorities and drive global initiatives. Culture Building: Contribute to creating a positive and inclusive workplace aligned with GDMs values. Occasional International Travel will be required About you In order to set you up for success as an Operations Manager in the International Operations Team at Google DeepMind, we look for the following skills and experience: Demonstrated experience in project management and execution. Strong analytical and problem-solving skills. Excellent communication and interpersonal skills, with the ability to influence stakeholders at various levels. Ability to work independently and as part of a team, managing multiple priorities effectively. Commitment to continuous learning and adaptation to enhance problem-solving abilities and readiness for evolving challenges. Experience in partnering with diverse teams and understanding their needs. In addition, the following would be an advantage: A breadth of operational skills and experiences including partnering across offices and timezones with a range of disciplines such as Workplace, Events, Recruitment, New Starter Onboarding, Communications and Security Facilitation skills Experience partnering with senior stakeholders across multiple business functions Experience with the use of GSuite tools Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we 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 opportunities 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.

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. About Us Artificial Intelligence could be one of humanity s most useful inventions. At Google DeepMind, 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 our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. The Role As a Software Engineer in the Generative AI (GenAI) team, you will be a key contributor to the design, development, and deployment of innovative GenAI models. You will work on challenging problems, pushing the state-of-the-art in GenAI, and contributing to research that has the potential to impact millions of people. We are looking for individuals who are passionate about AI, have a strong engineering background, and are eager to learn and grow in a fast-paced environment. Key responsibilities: Design, develop, and implement highly scalable and efficient software systems for training and deploying GenAI models. Contribute to the development of novel algorithms and architectures for GenAI. Optimize performance and scalability of existing ML systems and infrastructure. Write high-quality, well-documented code. Participate in code reviews and contribute to improving engineering best practices. Communicate technical decisions and tradeoffs effectively. Drive consensus among colleagues within and across project teams. Collaborate cross-functionally with other Google product area partners to build robust and high-impact software products. About You In order to set you up for success as a Software Engineer at Google DeepMind, we look for the following skills and experience: Bachelor s degree or equivalent practical experience. 8 years of experience with software development in one or more programming languages, and with data structures/algorithms. 8 years of experience testing, maintaining, or launching software products, and experience with software design and architecture. 4 years of experience in a technical leadership role leading project teams and setting technical direction. Solid software engineering skills across design and coding (C++, Python). Experience with large-scale distributed systems. Strong knowledge of best practices in the software development lifecycle. Familiarity with large scale fast paced production environments. Great communication and collaboration capabilities. In addition, the following would be an advantage: Experience building and deploying machine learning models in a production environment. Familiarity with various ML techniques (e.g., supervised/unsupervised learning, deep learning) and experience with relevant tools and technologies