Director of Product Management, Robotics

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Summary

Location

Mountain View, United States

Salary

$272k-383k/year

Work

Full-time

Experience

10+ years

Key Benefits
Bonus

About this Job

Snapshot:

As Director of Product Management for Robotics you will provide overall Product leadership for DeepMind’s Robotics program. You'll be responsible for setting the holistic product strategy for our Gemini powered robotic systems, driving product roadmap execution, and cultivating a robust ecosystem. This is a unique opportunity to shape the future of intelligent robotics and push the frontier of our capabilities and end product offerings.

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.

**Key Responsibilities:**As the Director of Product Management for Robotics, you'll provide comprehensive product leadership, guiding the entire lifecycle of our robotic systems from concept to launch and beyond. You'll work closely with our Robotics Research and our Model teams to define and deliver cutting-edge products that integrate artificial intelligence and Gemini model capabilities to achieve enhanced functionality and autonomy.

  • Product Vision Strategy: Define and evangelize the long-term product vision and strategy for our robotics portfolio.
  • Roadmap Development: Own the end-to-end product roadmap for robotics, prioritizing features, capabilities, and new product introductions based on market analysis, customer needs / use cases, and technological advancements.
  • AI Integration Leadership: Help drive the integration of Gemini models and their capabilities into our robotic systems, identifying opportunities to enhance autonomy, perception, decision-making, and user interaction through intelligent algorithms and machine learning.
  • Ecosystem Development: Build and nurture strategic partnerships with key technology providers, academic institutions, and industry players to expand our robotics ecosystem and unlock new capabilities.
  • Market Customer Insight: Identify unmet needs, use cases, emerging trends, and new business opportunities in the robotics space.
  • Cross-Functional Leadership: Collaborate closely with Research, Program Management, and Marketing teams to ensure seamless product development, successful launches, and effective go-to-market strategies.
  • Performance Measurement: Define and track key product metrics, utilizing data-driven insights to evaluate product performance, identify areas for improvement, and inform future product decisions.

Skills Qualifications:

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

  • Graduate degree in Robotics or Customer ScienceBachelor's degree in Engineering, Computer Science, Robotics, or a related technical field and a Masters degree in Robotics or Computer Science.
  • 10+ years of experience in product management, with at least 5 years in a leadership role focused on AI / Foundation models, robotics, or highly technical hardware/software products.
  • At least 5 years of management experience, including managing senior PMs

In addition, the following would be an advantage:

  • Demonstrated experience with robotic systems that leverage AI for enhanced functionality, autonomy, or intelligent behavior.
  • Strong understanding of AI/ML concepts, frameworks, and their application in real-world robotic systems.
  • Proven ability to define and execute product strategies, build detailed roadmaps, and successfully launch innovative products.
  • Exceptional leadership and communication skills, with the ability to manage strategic partnership, influence cross-functional teams, and present complex technical information clearly to diverse audiences.
  • Strong analytical and problem-solving skills, with a data-driven approach to product decisions.

The US base salary range for this full-time position is between $272,000 - $383,000 + bonus + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.

Note: In the event your application is successful and an offer of employment is madeto you, any offer of employment will be conditional on the results of a backgroundcheck, performed by a third party acting on our behalf. For more information on howwe 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 opportunity 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.

About the Company

DeepMind

Privately Held
Robotics Software & AIResearch & Academia

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. Our long term aim is to solve intelligence, developing more general and capable problem-solving systems, known as artificial general intelligence (AGI). Guided by safety and ethics, this invention could help society find answers to some of the world’s most pressing and fundamental scientific challenges. We have a track record of breakthroughs in fundamental AI research, published in journals like Nature, Science, and more.Our programs have learned to diagnose eye diseases as effectively as the world’s top doctors, to save 30% of the energy used to keep data centres cool, and to predict the complex 3D shapes of proteins - which could one day transform how drugs are invented.

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