At a Glance
- Tasks: Lead AI safety projects and collaborate with teams to enhance product quality.
- Company: Join Google DeepMind, a leader in AI innovation for public benefit and scientific discovery.
- Benefits: Enjoy competitive salary, bonuses, and a commitment to diversity and inclusion.
- Why this job: Make a real-world impact by applying cutting-edge AI techniques to safety challenges.
- Qualifications: Experience in product management and a strong understanding of AI safety principles required.
- Other info: This is a 12-month fixed-term contract with opportunities for growth.
The predicted salary is between 130000 - 190000 £ per year.
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
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.
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Product Manager, Responsibility - 12 Month Fixed Term Contract employer: The Rundown AI, Inc.
Contact Detail:
The Rundown AI, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Product Manager, Responsibility - 12 Month Fixed Term Contract
✨Tip Number 1
Familiarise yourself with the latest trends in AI safety and responsibility. Understanding current challenges and innovations in this field will help you engage meaningfully with stakeholders during interviews.
✨Tip Number 2
Network with professionals in the AI and product management space. Attend relevant conferences or webinars to connect with people who work at Google DeepMind or similar organisations, as personal connections can often lead to job opportunities.
✨Tip Number 3
Prepare to discuss your experience in managing cross-functional teams. Be ready to share specific examples of how you've successfully collaborated with engineers and researchers to deliver impactful products.
✨Tip Number 4
Showcase your passion for AI and its potential for positive impact. During interviews, express your enthusiasm for Google DeepMind's mission and how your values align with their commitment to safety and ethics in AI.
We think you need these skills to ace Product Manager, Responsibility - 12 Month Fixed Term Contract
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Product Manager position at Google DeepMind. Tailor your application to highlight relevant experiences that align with their focus on AI safety and responsibility.
Craft a Compelling CV: Your CV should clearly showcase your product management experience, particularly in developing strategic roadmaps and working with cross-functional teams. Highlight any specific projects related to AI or safety that demonstrate your expertise.
Write a Strong Cover Letter: In your cover letter, express your passion for AI and its potential impact. Discuss how your background aligns with Google DeepMind's mission and how you can contribute to their Responsibility Product team. Be sure to mention your experience managing teams and collaborating with diverse stakeholders.
Prepare for Interviews: If selected for an interview, be ready to discuss your understanding of AI models and safety considerations. Prepare examples of past projects where you successfully led product initiatives and collaborated with technical teams. Show your enthusiasm for the role and the company’s mission.
How to prepare for a job interview at The Rundown AI, Inc.
✨Understand the Role and Responsibilities
Before the interview, make sure you have a clear understanding of the key responsibilities outlined in the job description. Familiarise yourself with the specific tasks related to AI safety and responsibility, as well as the importance of collaboration with engineering and research teams.
✨Showcase Your Product Management Experience
Be prepared to discuss your previous product management experiences, particularly those that involved crafting strategic roadmaps and working with cross-functional teams. Highlight any relevant projects where you successfully led initiatives from conception to launch.
✨Demonstrate Your Knowledge of AI Safety
Since the role focuses on AI safety and responsibility, it’s crucial to demonstrate your understanding of these concepts. Be ready to discuss how you would approach safety mitigations and the metrics you would use to evaluate success in this area.
✨Prepare for Stakeholder Engagement Scenarios
Given the need to build relationships with various stakeholders, think of examples where you successfully collaborated with different teams. Prepare to discuss how you would engage with both technical and non-technical audiences, showcasing your outstanding communication skills.