Product Manager, Machine Learning and Compute Resource Management

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 5 years of experience in product management or related technical role.
• 2 years of experience developing or launching infrastructure products or technologies within networking, storage, compute hardware, databases, file systems, data analytics, cluster management, and other software infrastructure areas.
• Experience in enterprise and machine learning planning.

Preferred qualifications:

• Master's degree in a technology or business related field.
• 3 years of experience in a business function or role (e.g., strategic marketing, business operations, consulting).
• 3 years of experience in a role preparing and delivering technical presentations to executive leadership.
• 2 years of experience in software development or engineering.
• 2 years of experience working cross-functionally with engineering, UX/UI, sales finance, and other stakeholders.
• 1 year of experience in technical leadership.

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.

Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We are proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.

• Develop the strategic goal for major components of Google’s critical machine learning and Compute resource management platform to streamline ability to express demand, get allocation and schedule jobs in a fungible manner.
• Engage with Google’s largest machine learning and compute PAs (Deepmind, Cloud, Search, Ads, YT, and others) to understand their short and long term needs.
• Partner closely with Machine Learning Strategy and Allocation team (MLSA) and planning teams to understand their needs, and develop product strategies accordingly.
• Collaborate cross functionally to launch products that enable PAs to express their machine learning and compute demand, as well as use them efficiently.
• Build platform that can be used by cross functional teams to host their planning and resource management dashboards as well as serve as decision UI.