Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 8 years of experience in technical product management, solutions engineering in one or more cloud infrastructure areas of enterprise compute, storage, networking, databases, data analytics or AI/ML.
- Experience building and deploying applications on cloud platforms and distributed systems at enterprise-scale.
- Experience working on full stack products across hardware and software, hybrid and multi-cloud environments and services such as AI/ML, analytics, databases.
- Experience with common on-premise enterprise infrastructure, platform, development and operations technologies.
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About the job
The Google Distributed Cloud (GDC) Product Management team has a mission to create the industry's leading private and hybrid cloud offering that brings our customers the best of AI-led Services, Solutions and Infrastructure on a platform that is secure, scalable and simple.
In this role, you will be defining and building novel and scalable solutions that meet customer's business objectives. You will work closely with Customers, Partners, Engineering, Product, Sales and Customer Engineering to develop solutions.
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.
Responsibilities
- Collaborate with Solutions Engineering, GDC go-to-market (GTM), and Product Management to scope new solutions that are aligned with GDC's Industry and Platform strategy.
- Build customer and business facing technical assets tailored to key business use cases.
- Serve asa trusted technical advisor for enterprise GDC customers.
- Accelerate and unblock customer adoption of GDC through direct engagements.
- Use product development best practices to measure the adoption and efficacy of launched solutions, and manage Solutions life-cycle.