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Product Manager, Responsibility - 12 Month Fixed Term Contract

Mountain View, California, US

Snapshot

The Google DeepMind (GDM) Responsibility Product team works on efforts across the organization to develop products and tools which innovate in AI safety and responsibility. 

We are looking for a senior Product Manager to join our team to partner with engineering and research groups to design and deliver highly impactful Responsible AI efforts.

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

This role is a twelve month fixed-term contract. Working with the Responsibility teams and partners across the organization, you will be responsible for informing our approach to safety mitigations to advance safety and responsibility solutions across GDM.

You will work across initiatives including guiding the deployment of filtering models across GDM products, and supporting work on automated evaluation tooling for frontier models.  

Key responsibilities

  • Define and iterate the product strategy for Responsibility efforts, in partnership with senior stakeholders.
  • Lead development of requirements for safety filtering models applied across GDM models and products to enhance product quality.
  • Partner with safety mitigations development teams and product teams to ensure successful delivery of requirements. 
  • Define metrics and achievements to accelerate discovery, evaluate the success of products against their aims, goals and objectives, and share lessons and insights across the wider business.
  • Manage a team of product managers working across Responsibility efforts.
  • Build relationships and collaborate with many stakeholders across Alphabet.

The role will suit candidates who enjoy applying state-of-the-art AI techniques to real-world safety challenges in order to maximise the positive impact of AI models. 

About you

In order to set you up for success as a Product Manager at Google DeepMind, we look for the following skills and experience:

  • Product Management experience; crafting strategic product roadmaps from conception to launch and working with cross-functional teams. 
  • Deep understanding of AI models, especially in the context of safety and responsibility.
  • Confidence engaging with researchers and engineers. While not necessarily an ML / AI specialist yourself, you are able to understand the considerations related to AI research and technologies.  
  • Experience and a proven ability to collaborate with a variety of teams and partners.
  • Experience managing a team of product managers and a portfolio of efforts.
  • 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.

The US base salary range for this full-time position is between $183,000 - $271,000 + bonus + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.

Application deadline: 5pm PT, 21st July 2025 

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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.

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