Director of Product Management, Gemini Agentic CapabilitiesMountain View, California
Snapshot
The Gemini Agents PM lead will lead a team of PMs focused on developing Gemini’s next generation of Gemini’s capabilities, including pushing the frontier of agentic capabilities, improving the model’s thinking abilities, and partnering with product teams across Google to develop incredible agentic experiences.
targeted at developing incredible agentic experiences. This PM will drive a holistic strategy in partnership with product teams and customers to establish and deliver on Gemini’s vision for its agentic era.
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
Key responsibilities
- Manage a team of PMs supporting critical efforts to Gemini Agents
- Drive Gemini’s strategy in developing capabilities for agentic applications
- Partner across Google and Google DeepMind team, to drive goals towards key requirements from Gemini models
- Partner with Gemini Research leads to define next-gen agentic capabilities, and develop novel research efforts & techniques to bring new ideas to life
- Support cross-functional bets including Robotics, with high-quality Gemini checkpoints
About you
In order to set you up for success as a Director of Product at Google DeepMind, we look for the following skills and experience:
- BSc or MSc in Computer Science or equivalent technical field
- At least 10 years of PM experience (or equivalent sets of landings)
- At least 3 years of management experience, including managing senior PMs
In addition, the following would be an advantage:
- Experience managing large, complex product strategies, and multiple senior PMs
- Able to effectively work with senior leadership across multiple different organizations and points of view
- Previous experience in leading model strategy and development, and ideally 0-1 product development
The US base salary range for this full-time position is between $253,000 - $379,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.
Application deadline: 12pm GMT Thursday 20th February 2025
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.
Top Skills
What We Do
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.
