AI/ML Product Manager, Google Cloud

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
  
• 8 years of experience in product management, consulting, co-founder or related technical role.
  
• 3 years of experience building and shipping technical products.
  
• Experience in AI/ML, frameworks, hardware accelerators (e.g., TPU, GPU, CPU), model architectures and workflows, and trends.
  
• Experience with Machine Learning infrastructure.
  
• Experience with hardware architecture.

Preferred qualifications:

• Master's degree in a technology or business related field.
  
• 5 years of experience working cross-functionally with engineering, UX/UI, sales finance, and other stakeholders.
  
• 5 years of experience in a business function or role (e.g., strategic marketing, business operations, consulting).
  
• 4 years of experience in a role preparing and delivering technical presentations to senior leadership.
  
• Experience in ML compilers or ML software infrastructure (e.g., framework development, PyTorch compiler stack, inductor, Dynamo, TF/JAX compiler stack, NVIDIA software libraries, ets.).
• Experience navigating fast-changing technical strategies and stakeholder landscapes.

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.

As a Product Manager, you will be responsible for leading product development of Google's core Machine Learning (ML) software products that connect Google models with Google's ML hardware. You will also have the opportunity to engage directly with machine learning-centric first-party customers, Cloud teams, and external industry vendors to identify current and coming trends in ML, then identify and execute on features necessary for continued success.

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 $168,000-$252,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. 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

• Develop the strategic idea for components of Google’s ML hardware stack, including ML innovations, and delivering performance for internal and Cloud customers.
  
• Engage with Google's ML product areas and Cloud's ML-focused customers to inform Google's ML software to identify impactful areas for development.
  
• Work with ML hardware NPI teams, customer engineering, and other software partners to ensure roadmap delivers planned NPI and customer impact.
  
• Develop partnerships with associated ML software teams, including Core ML Frameworks (e.g., TensorFlow, JAX, PyTorch) and Cloud GPU/TPU.
  
• Own and set the strategy, roadmap, and implementation for multiple areas of focus balancing priorities against various business needs.