Product Manager, Data Management, Google SecOps

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 5 years of experience in product management or a related technical role.
• 2 years of experience taking technical products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1, etc.).
• Experience integrating Generative AI tools, AI agents, or LLM interfaces into workflows.

Preferred qualifications:

• 3 years of experience in a business function or role (e.g., 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.
• Experience in cyber security, cyber threat intelligence, or data management.

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 (PM) for SecOps Data Management, you will lead the foundational data fabric powering Google Cloud’s flagship Security Operations platform. You will drive product strategy for our petabyte-scale telemetry platform, owning platform-wide data acquisition, real-time normalization, and data export. Building on our transition to autonomous, agentic data management, you will create AI-native capabilities that turn complex data onboarding into an effortless, self-service experience. You will operate on the agent interaction, exploring dynamic, adaptive UI (A2UI) beyond traditional chat. You will collaborate closely with engineering, UX, and research teams to design resilient, cost-optimized architectures that fuel real-time threat detection and generative AI workflows. You will also partner with enterprise customers and executive security leaders to unblock transformative SIEM migrations.

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.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $163000 - $236000 (USD) + 15% bonus target + equity + benefits

Responsibilities

Learn more about benefits at Google .

• Shape the multi-year product strategy for Google SecOps’ data foundation, defining how enterprise security telemetry is ingested, normalized, and mobilized at a global scale.
• Lead the AI transformation of security data operations, delivering autonomous, agentic workflows that eliminate manual engineering friction and drastically accelerate customer time-to-value.
• Drive platform scale and telemetry economics, partnering with Engineering to build high-throughput, cost-optimized architectures that power real-time threat detection and AI reasoning.
• Advocate enterprise customer impact, partnering with security executives, advisory boards, and GTM teams to unblock Security Information and Event Management (SIEM) migrations and align the broader Cloud Security ecosystem.
• Model AI-first product craft, actively leveraging generative and agentic AI to accelerate Product Requirements Document (PRD) development, conduct deep data and usage analysis, distill qualitative customer feedback, and elevate daily problem-solving.

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 .