At a Glance
- Tasks: Define product strategy and collaborate with scientists to turn research into real-world robotics products.
- Company: Join Google DeepMind, a pioneering AI lab focused on transformative technology.
- Benefits: Competitive salary, equity, bonuses, and comprehensive benefits package.
- Other info: Diverse career pathways and a culture of belonging await you.
- Why this job: Be at the forefront of AI innovation and make a global impact through robotics.
- Qualifications: 7 years in product management with a background in robotics or related fields.
The predicted salary is between 72000 - 88000 £ per year.
Share Product Manager, GDM Robotics, Deep Mind corporate_fare Deep Mind place Mountain View, CA, USA ; London, UK
X Note: By applying to this position you will have an opportunity to share your preferred working location from the following:
- Mountain View, CA, USA; London, UK
- Bachelor's degree in Computer Science, Robotics, Mechanical/Electrical Engineering, Physics, a related technical field, or equivalent practical experience.
- 7 years of experience in product management, including taking technical products from concept to launch.
- Experience in robotics, through a robotics degree or prior work in the robotics industry.
Preferred qualifications
- Experience with robotics safety, functional safety, or safety-critical systems.
- Experience with security for connected devices, robots, or AI systems.
- Experience with simulation, synthetic data, or developer tools, including building or commercializing APIs and SDKs.
- Experience designing evaluations, benchmarks, or reliability metrics for AI/ML or hardware-in-the-loop systems.
- Experience with AI/ML systems such as foundation models, multimodal models, or Vision-Language-Action models.
- Ability to drive ambiguous, zero-to-one initiatives in a fast-paced, research-driven environment, and to align research, engineering, and partner teams.
About the job
As a Product Manager in GDM Robotics, you will work at the intersection of frontier research, physical systems, and developer platforms.
You will turn hard research and hardware constraints into clear product strategy and roadmaps, partner closely with research scientists and engineers, and get our models into real-world use with internal teams and external partners.
Depending on your background, you may focus on areas such as simulation and developer experience, or physical AI safety, security, and evaluation.
Artificial intelligence will be one of humanity’s most transformative inventions.
At Google 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 diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
- US: $
- $
- (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google .
- Define product strategy, requirements, and roadmaps for GDM Robotics models and platform capabilities.
- Partner with research scientists and engineers to turn research breakthroughs into reliable products and tools.
- Establish benchmarks, evaluations, and success metrics that track model quality, safety, and real-world usefulness.
- Drive internal dogfooding and early partner deployments to pressure-test products before broad launch.
- Lead launches end to end with partners across Google, including Cloud, Responsibility & Safety, Policy, and Legal, to drive real-world impact.
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.
Product Manager, GDM Robotics, DeepMind in London employer: Google
As a Senior Manager in Ads Solutions Engineering at gTech, you will thrive in a dynamic and innovative environment that prioritises collaboration and professional growth. The company fosters a culture of continuous learning and development, offering ample opportunities to lead transformative projects while working with cutting-edge technologies. Located in a vibrant tech hub, gTech provides a unique chance to engage with top-tier clients and contribute to impactful solutions that drive success.
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We think this is how you could land Product Manager, GDM Robotics, DeepMind in London
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We think you need these skills to ace Product Manager, GDM Robotics, DeepMind in London
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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.
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