At a Glance
- Tasks: Design and maintain AI operational infrastructure while collaborating with engineering teams.
- Company: Join DeepMind, a pioneering AI lab focused on transformative technology.
- Benefits: Competitive salary, diverse career pathways, and a culture of belonging.
- Other info: Dynamic environment with opportunities for learning and growth.
- Why this job: Be at the forefront of AI innovation and make a global impact.
- Qualifications: 5 years in technical program management and strong collaboration skills.
The predicted salary is between 63000 - 77000 £ per year.
- Technical Program Manager, Foundation Models
- Share Technical Program Manager, Foundation Models corporate_fare Google place London, UK
- Bachelor's degree or equivalent practical experience.
- 5 years of experience in technical program or project management in a software or AI environment, including experience in program delivery.
Preferred qualifications
- Experience with managing large-scale compute resources.
- Strong ability to take ownership and operate proactively in fast-moving, ambiguous environments, keeping teams focused and organized amidst evolving priorities.
- Strong relationship-building and cross-functional collaboration skills, paired with exceptional organization and strict attention to detail, and ability to communicate complex technical concepts clearly to various teams.
- Passionate about artificial general intelligence (AGI) and emerging technologies, actively exploring and utilizing the latest AI tools, agents, and assistants to optimize daily workflows and enhance productivity.
About the job
Artificial intelligence will be one of humanity’s most transformative inventions.
At Deep Mind, 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 learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.
Responsibilities
- Design, scale, and maintain central operational infrastructure using APIs, scripting, and custom integrations to establish a single source of truth.
- Partner with internal engineering teams to pilot, build, and deploy generative AI tools for knowledge management and automated briefing generation.
- Streamline ways of working by implementing team-wide tools, automated workflows, and governance models that simplify complex processes.
- Translate organizational objectives into a prioritized portfolio of initiatives, tracking performance, managing risk, and anchoring teams to core goals.
- Act as a trusted advisor to Marketing and Communications (Marcomms) and Deep Mind leadership by providing operational insights, mitigating technical risks, proposing solutions, and managing budgets.
Google is proud to be an equal opportunity and affirmative action employer.
We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law.
See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc.
Alphabet Inc. is your sole contractual partner with respect to equity grants.
GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement.
They have no impact on statutory payments.
Current or past grants do not confer an acquired right.
Technical Program Manager, Foundation Models in London employer: Google LLC
DeepMind, as part of Google, offers an exceptional work environment that fosters innovation and collaboration among top-tier professionals in AI and materials science. Located in a vibrant tech hub, employees benefit from a culture that prioritises continuous learning and growth, alongside access to cutting-edge resources and interdisciplinary projects that drive meaningful advancements in semiconductor research.
StudySmarter Expert Advice🤫
We think this is how you could land Technical Program Manager, Foundation Models in London
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We think you need these skills to ace Technical Program Manager, Foundation Models in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Google LLC.
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How to prepare for a job interview at Google LLC
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Google LLC uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.