Deepmind Logo

Deepmind

Director of Product Management, Robotics

Reposted 14 Days Ago
Be an Early Applicant
In-Office
Mountain View, CA, USA
272K-383K Annually
Senior level
In-Office
Mountain View, CA, USA
272K-383K Annually
Senior level
The Director of Product Management will lead product strategy for robotics, drive product roadmap execution, and enhance AI integration in robotic systems.
The summary above was generated by AI

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 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 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.


Deepmind Mountain View, California, USA Office

Ampitheatre Pkwy, Mountain View, CA, United States, 94034

Similar Jobs

A Minute Ago
Remote or Hybrid
United States
130K-145K Annually
Senior level
130K-145K Annually
Senior level
Artificial Intelligence • Healthtech • Logistics • Social Impact • Software • Telehealth
Lead and manage a remote team of Nurse Practitioners, ensuring clinical quality, documentation accuracy, and compliance with HCC/MEAT standards. Provide coaching, audits, training, and cross-functional collaboration to improve workflows, risk adjustment accuracy, and patient-centered virtual/home-based care delivery.
Top Skills: Communication ToolsDashboardsEmrsHcc Coding
8 Minutes Ago
Easy Apply
In-Office
Easy Apply
28-37 Annually
Mid level
28-37 Annually
Mid level
Aerospace • Hardware • Robotics • Software • Manufacturing
Assemble, test, and support Aeon-R engine components, subassemblies, and engines. Perform precision cleaning, hydrostatic proof, flow and leak testing, component and engine assembly, and integrate electrical/mechanical systems while following work instructions and engineering drawings.
8 Minutes Ago
Easy Apply
In-Office
Easy Apply
28-39 Annually
Mid level
28-39 Annually
Mid level
Aerospace • Hardware • Robotics • Software • Manufacturing
Perform CNC tube bending and fabrication of stainless steel and Inconel tubing for rocket fluid systems. Operate precision cutting, deburring, end-forming, and measurement equipment, document processes, collaborate with engineering to resolve non-conformances, and support continuous improvement in production.
Top Skills: BorescopeCadCalipersCncCnc Bending MachinesElectrochemical Cutting MachineFlaring MachineHeight GaugesMicrometersOptical Profile Measurement EquipmentSevering MachineStep

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account