Product Manager, Data Center Infrastructure Management, Talos

Product Manager, Data Center Infrastructure Management, Talos

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.

The Talos team develops and manages the software platform at the heart of Google's data center operations. Talos is the primary tool used by Data Center Technicians and other operations teams (including Site Reliability Engineers (SRE), Software Engineers) to deploy, manage, maintain, and decommission the hardware infrastructure (servers, networking, cooling, etc.) that powers Google's global fleet. Our mission is to provide an efficient, reliable, and user-friendly platform that enables scalable and cost-effective data center operations, ultimately ensuring the availability and performance of Google's DC Infrastructure. We are driving a product-centric transformation to enhance user satisfaction and operational excellence.

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 $183,000-$271,000 + 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.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Minimum Qualifications:

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in product management or related technical role.
• 3 years of experience developing or launching products or technologies within Artificial Intelligence or Machine Learning (AI or ML).

Preferred Qualifications:

• Master's degree in a technology or a business related field.
• 10 years of experience in Product Management.
• Experience working directly with engineering teams to build and ship products.
• Experience with large-scale distributed systems, infrastructure management, or data center operations.
• Experience with data-driven product decisions and excellent problem-solving skills.
• Ability to track record of defining, launching, and managing software products throughout their life-cycle.

Responsibilities:

• Define and drive the product goals, strategy, and roadmap for key areas of the Talos platform.
• Understand the needs of Data Center operations teams (e.g., Technicians, Operations Managers, SREs) through user research, data analysis, and direct engagement.
• Translate user needs, business requirements, and technological opportunities into clear product requirements, user stories, and specifications.
• Collaborate closely with Engineering, User Experience (UX), User Experience Research (UXR), and Technical Program Manager (TPM) teams to guide product development from conception through launch and iteration.
• Prioritize features and investments to maximize impact on operational efficiency, reliability, user satisfaction, and business objectives.