Google It Certificate Jobs (NOW HIRING)

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in technical product management.
• 3 years of experience taking technical products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1, etc.).
• Experience building or implementing AI/ML-driven features or infrastructure (e.g., working with LLMs, NLP, or data pipelines).
• Experience taking software products through a full lifecycle.
• Experience working with cross-functional teams.

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.
• Experience in the data domain, enterprise platforms or infrastructure.
• Experience with prompt engineering, model evaluation, or deploying AI solutions in a corporate/enterprise environment.
• Experience using data to justify product decisions and measure the efficiency gains of automated workflows.

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.
Within Corp Eng, the Enterprise Data & Governance team is evolving the Enterprise Data Platform (EDP) to create a data ecosystem that is both operationally robust and ready for the next generation of AI. We are building a trusted enterprise data substrate across our business, technical, and data assets to ensure our information is robust for critical operations and certified for safe, autonomous automation.
As a Product Manager in this space, you'll be in a unique role of building organizational and product strategy, focusing on how we transition our infrastructure from passive inventory to an active semantic engine. You will drive the development of high-integrity, certified data products that enable autonomous workflows and resolve complex, cross-domain challenges across the enterprise.
At Corp Eng, we build world-leading business solutions that scale a more helpful Google for everyone. As Google's IT organization, we provide end-to-end solutions for organizations across Google. We deliver the right tools, platforms, and experiences for all Googlers as they create more helpful products and services for everyone. In the simplest terms, we are Google for Googlers.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $192000 - $278000 (USD) 20% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities

• Drive the vision for the product lifecycle of Enterprise Data Governance initiatives, successfully transitioning fragmented, bespoke systems into a unified, AI-ready data foundation.
• Identify high-impact opportunities and prioritize critical investments across the hub-and-spoke operating model, ensuring cohesion and end-to-end accountability for the success of enterprise data domains.
• Leverage AI to enhance personal productivity and accelerate the delivery of semantic layers and knowledge graphs, proactively advocating for data literacy and creating new AI-powered product opportunities.
• Develop resourceful, proactive solutions for complex, ambiguous cross-domain data challenges, replacing legacy system constraints with strategic frameworks that deliver long-term business impact.
• Build strong consensus with tech leads and senior managers across multiple engineering and business teams to enforce clear product direction and unified data ownership.

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