In A Nutshell
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.