Full-Time

Group Product Manager

Gemini Robotics

Posted on 9/3/2025

DeepMind

DeepMind

1-10 employees

AI research organization pursuing safe AGI

Compensation Overview

$320k/yr

+ Bonus + Equity

Mountain View, CA, USA

In Person

Category
Product (2)
,
Requirements
  • Masters degree in Machine Learning
  • 5+ years of product management experience, with a significant focus on AI/ML products or platforms.
Responsibilities
  • Define the product vision, strategy, and roadmap for Gemini model quality improvements and optimizations specifically tailored for robotics applications.
  • Partner closely with the core Gemini AI Model team to influence their roadmap and ensure that model development considers the unique requirements and constraints of robotic systems.
  • Translate complex AI model performance and robotics system needs into clear, actionable product requirements and specifications for engineering and research teams.
  • Effectively communicate product plans, progress, and challenges to a wide range of stakeholders, including executive leadership and Research teams.
  • Develop a deep understanding of the robotics landscape and AI advancements.
Desired Qualifications
  • Demonstrated experience working with complex AI models, including understanding of model training, evaluation, and deployment challenges.
  • Proven ability to define product strategy, roadmaps, and requirements for technical products.
  • Excellent communication, interpersonal, and leadership skills with the ability to influence cross-functional teams and stakeholders.
  • Experience specifically with AI models used in robotics, autonomous systems, or other real-world embodied AI applications.
  • A strong passion for robotics and a vision for how AI can revolutionize the field.

DeepMind conducts research in artificial intelligence to advance general problem-solving capabilities with safety and ethics guiding every project. It develops AI systems and learning algorithms that can tackle complex tasks, such as diagnosing eye diseases, reducing data center energy use, and predicting 3D protein shapes. These products work by learning from large datasets and optimizing models to perform specialized tasks, often through deep neural networks and reinforcement learning, then deploying the resulting systems to assist scientists, doctors, and engineers. What sets DeepMind apart is its emphasis on rigorous fundamental research published in top journals, a strong safety/ethical framework, and collaboration on real-world scientific challenges, rather than just commercial applications. The company’s long-term goal is to solve intelligence and build more general, capable problem-solving systems that can help society address major scientific and humanitarian problems.

Company Size

1-10

Company Stage

Acquired

Total Funding

$533M

Headquarters

Thessaloníki, Greece

Founded

2010

Simplify Jobs

Simplify's Take

What believers are saying

  • GraphCast excels in extreme weather prediction, partnering with disaster agencies.
  • AlphaFold collaborates with DNDi on Chagas and Leishmaniasis therapeutics.
  • Open GraphCast deployment since September 2024 enables enterprise licensing.

What critics are saying

  • Top AI talent exits DeepMind due to Google merger bureaucracy.
  • Isomorphic Labs secures Eli Lilly and Novartis drug discovery deals.
  • NVIDIA's PhysicsNeMo reimplements GraphCast, commoditizing the technology.

What makes DeepMind unique

  • AlphaFold predicts protein structures, catalyzing biology progress since 2021.
  • GraphCast delivers 90% accurate 10-day weather forecasts in under one minute.
  • AlphaGo defeated Go champion Lee Sedol in 2016 using reinforcement learning.

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Benefits

Performance Bonus

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