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- Tasks: Lead the development of AI products focused on social impact using Google DeepMind technology.
- Company: Join Google DeepMind, a leader in AI innovation dedicated to solving real-world problems.
- Benefits: Enjoy hybrid work options, competitive salary, and opportunities for professional growth.
- Why this job: Make a difference with cutting-edge AI while collaborating with top researchers and engineers.
- Qualifications: Experience in AI applications, product management, and strong communication skills required.
- Other info: This is a full-time, mid-level role based in London with a deadline to apply by July 22, 2025.
The predicted salary is between 43200 - 72000 £ per year.
In A Nutshell
Location
Hybrid London, UK
Job Type
Full-time
Experience Level
Mid-level
Deadline to apply
July 22, 2025
Develop and be responsible for building the AI product portfolio focused on the social impact of Google DeepMind’s generative AI technology (such as Gemini).
Responsibilities
- Work alongside research, engineering, and partnership teams to identify and define opportunities to use Google DeepMind technology to solve real-world problems, and work closely with them to determine the best approach and execution plans for prioritised ideas.
- Use your influence to bring together and motivate individuals (including Scientists and Engineers) from across GDM Units to work on projects related to generative AI applications that benefit humanity.
- Scope and prototype products incorporating ideas from stakeholders and partners, and build and manage external product/deployment partnerships where relevant, while balancing key principles such as equity, safety, and responsibility.
- Drive strategic deep dives across GDM’s generative AI technologies to assess potential, define use cases and routes-to-market (including understanding users for use-cases, their needs, and their workflows), and prioritise opportunities. Partner with GDI and GDM leadership to define, communicate, and build a plan for delivery on these strategic priorities.
- Define metrics and achievements to accelerate discovery, evaluate the success of programs against their aims, goals, and objectives, and share lessons and insights across the wider business.
- Build relationships and collaborate with multiple stakeholders internally and externally.
Skillset
- Demonstrable experience and knowledge of real world AI applications, including supporting teams to drive large scale programs from inception to delivery in a fast paced and dynamic environment.
- Confidence engaging researchers and engineers. While not necessarily an ML / AI specialist yourself, you are able to understand the considerations related to AI research and technologies.
- Product Management experience; crafting strategic product roadmaps from conception to launch and working with cross-functional teams.
- Experience and a proven ability to collaborate with a variety of teams and partners.
- Outstanding communication skills and ability to work with both tech and non-tech teams and senior leadership.
- A passion for Google DeepMind’s mission and knowledge and excitement about AI and its potential for real-world impact.
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Generative AI Portfolio Lead, Google DeepMind Impact Accelerator (London) employer: datadotorg
Contact Detail:
datadotorg Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Generative AI Portfolio Lead, Google DeepMind Impact Accelerator (London)
✨Tip Number 1
Familiarise yourself with Google DeepMind's generative AI technologies, especially Gemini. Understanding the nuances of these technologies will help you engage effectively with researchers and engineers during interviews.
✨Tip Number 2
Network with professionals in the AI and product management fields. Attend industry events or webinars where you can meet people who work at Google DeepMind or similar organisations, as personal connections can often lead to job opportunities.
✨Tip Number 3
Prepare to discuss real-world applications of AI in your conversations. Think about specific examples where AI has made a social impact, as this aligns with the role's focus on using technology for humanity's benefit.
✨Tip Number 4
Showcase your ability to collaborate across diverse teams. Be ready to share experiences where you've successfully worked with both technical and non-technical stakeholders, as this is crucial for the role.
We think you need these skills to ace Generative AI Portfolio Lead, Google DeepMind Impact Accelerator (London)
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Generative AI Portfolio Lead position. Familiarise yourself with Google DeepMind's mission and how generative AI can impact society.
Tailor Your CV: Highlight your relevant experience in AI applications, product management, and collaboration with cross-functional teams. Make sure to showcase any projects that demonstrate your ability to drive large-scale programmes from inception to delivery.
Craft a Compelling Cover Letter: Use your cover letter to express your passion for Google DeepMind’s mission and your understanding of the potential of AI. Discuss specific examples of how you've successfully engaged with researchers and engineers in previous roles.
Showcase Communication Skills: In both your CV and cover letter, emphasise your outstanding communication skills. Provide examples of how you've effectively worked with both technical and non-technical teams, as well as senior leadership, to achieve project goals.
How to prepare for a job interview at datadotorg
✨Understand the Role and Responsibilities
Before the interview, make sure you thoroughly understand the job description. Familiarise yourself with the responsibilities of the Generative AI Portfolio Lead, especially how it relates to social impact and collaboration with various teams.
✨Showcase Your Experience
Prepare to discuss your previous experience in product management and AI applications. Be ready to provide specific examples of how you've driven projects from inception to delivery, particularly in fast-paced environments.
✨Demonstrate Collaboration Skills
Highlight your ability to work with diverse teams, including researchers and engineers. Share examples of successful collaborations and how you motivated individuals to achieve common goals, as this is crucial for the role.
✨Express Your Passion for AI
Convey your enthusiasm for Google DeepMind’s mission and the potential of AI to create real-world impact. Discuss any relevant projects or initiatives that showcase your commitment to using technology for social good.
