Product Manager, Cloud Products

Sorry, this job was removed at 12:17 p.m. (CST) on Monday, Dec 16, 2024
Mountain View, CA, USA
In-Office
142K-219K Annually
Artificial Intelligence
The Role

Product Manager, Cloud Products 

Mountain View, CA USA 

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.

Snapshot

The Google DeepMind Product Unit delivers transformative user and business impact by delivering applied research and product breakthroughs. This Unit:

  • Drives fast productization of research breakthroughs through Applied Research
  • Delivers meaningful product enhancements through engagement across Google and DeepMind
  • Creates and incubates new products and categories


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

In this specific role, the Product Manager will work closely with our research teams and products groups spanning the Google Cloud organization. 

Key responsibilities

Responsibilities: 

  • Build strong partnerships with teams across organizations (e.g., Research, Programs, etc) to understand top priorities and prioritise where Google DeepMind’s technology can have the greatest impact
  • Define product roadmaps by operationalizing strategy. 
  • Develop and secure buy-in for a product vision that identifies, defines, and supports the overall product narrative and direction, achieving an outcome that is greater than the sum of its parts. 
  • Assure product success, ensuring we build and deploy products boldly and responsibly.

Influence

  • Influence cross-functional collaborations to build momentum and accelerate moving work forward.
  • Proactively identify and address possible issues by guiding and mediating between the teams to find mutual solutions.
  • Influence product direction for partner teams outside of the immediate work group, to align on product direction for other related products.
  • Drive product opportunities from research to launch & landing, leading teams across functions to collectively achieve this.


Expertise

  • Serve as an expert for critical product related decisions across several functions for the product(s) and features.
  • Serve as a spokesperson for a product(s) or team(s) of considerable scope and complexity, demonstrating the ability to explain how the products fit into the larger strategy to audiences including internal and external leaders, as well as to non-technical partners, students, or new hires.


About you

Google DeepMind Product Managers achieve personal impact by making pivotal decisions and leading across multiple products or cross-functional teams to achieve broader strategic goals. They solve complex product problems by securing and managing resources, attracting and securing talent, managing across different teams, and optimizing for Google DeepMind and the team.

In this specific role, the Product Manager will work closely with our research teams and the Google Cloud team supporting multiple products and workstreams. 

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

  • Bachelor's degree or equivalent practical experience
  • 5 years of experience in product management or related technical role
  • 2 years of experience taking technical products from conception to launch
  • Experience delivering products under pressing timelines and engaging a range of stakeholders


In addition, the following would be an advantage: 

  • Expertise in Machine Learning / ML Products
  • Experience in Generative AI
  • Masters or PhD in Computer Science or Computer Engineering. 
  • Understanding of the cloud services market and users

The US base salary range for this full-time position is between $142,000 - $219,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.

Application deadline: 12:00pm Friday 18 October 2024 

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.



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The Company
1,218 Employees
Year Founded: 2010

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.

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