Product Manager, AI/ML Infra, Google Cloud

Minimum qualifications:

• 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 with the domain area of Generative AI or Large Language Models.
  
  

Preferred qualifications:

• Experience managing products with one of the targeted workloads, such as ML: training, inference, and deploying large machine learning models, or HPC: deploying hardware and software needed to run large batch compute jobs.
• Experience within Cloud Infrastructure, particularly Machine Learning Infrastructure, with compute, networking, and storage.
• Experience leading complex strategic and operational initiatives, working through technical, operational, legal/policy and business issues.
• Understanding of the AI/ML software stack, and ML frameworks like PyTorch, TensorFlow, JAX, etc.
• Outstanding narrative and storytelling abilities that propel usage, adoption, and market momentum.
  
  

About The Job

At Google, we put our users first. The world is always changing, so we need Product Managers who are continuously adapting and excited to work on products that affect millions of people every day.

In this role, you will work cross-functionally to guide products from conception to launch by connecting the technical and business worlds. You can break down complex problems into steps that drive product development.

One of the many reasons Google consistently brings innovative, world-changing products to market is because of the collaborative work we do in Product Management. Our team works closely with creative engineers, designers, marketers, etc. to help design and develop technologies that improve access to the world's information. We're responsible for guiding products throughout the execution cycle, focusing specifically on analyzing, positioning, packaging, promoting, and tailoring our solutions to our users.

Google is one of only a few companies in the world that has all of the raw ingredients to build an enduring interactive supercomputing platform for AI/ML, and provide low latency scaled out production serving inference solutions.

You get to work with industry researchers, engineers, and some of GCP's largest customers and AI unicorns in the world. In taking on this role, you are responsible for developing an AI/ML infra platform that could have transformative effects on the Generative AI and LLM eco-systems (supporting training/serving models in parameters), and an outsized impact on the Google Cloud business.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

The US base salary range for this full-time position is $156,000-$229,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .

Responsibilities

• Understand workflows of internal and external experts from many of the world’s customers and teams for our targeted workloads, specifically large-scale AI/ML training and inference. Know exactly where they are running into limits, know how our products can best met their needs, and shape our product roadmap by building new offerings to best drive growth to Google Cloud Platform.
• Understand the cloud ML infrastructure customer, their unique requirements, and are well versed with foundational Large Language Machine Learning models, their infrastructure and toolkit dependencies, and technical challenges to elastically scaling them.
• Work with directors, VPs, and executives across Google to ensure effective product launches and deliver product experience.
• Partner with and influence the ecosystems we work with.
  
  
  

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .