Infrastructure Go-To-Market Lead, Hyperscaler Compete
Job Summary
Job Description
- Bachelor's degree in CS or related field
- 10 years cloud infrastructure engineering experience
- Experience with IaaS offerings
- GTM strategy, sales campaigns, or take-out programs experience
- Master's degree in CS or technical field
- Experience with sales teams and partners
- Understanding of Google Cloud and IaaS solutions
- Strong public speaking and technical presentation skills
- Strong business acumen
- Bonus
- Equity
- Benefits
4 skills required
Job Details
Minimum qualifications:
- Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
- 10 years of experience in cloud infrastructure engineering or a similar technical role.
- Experience with cloud-based infrastructure architectures, such as IaaS offerings.
- Experience developing and executing go-to-market strategies, sales campaigns, or take-out programs for infrastructure solutions.
Preferred qualifications:
- Master's degree in Computer Science, or other technical field.
- Experience working with sales teams and partners to drive successful customer engagements and competitive wins.
- Understanding of Google Cloud and our IaaS solutions.
- Strong understanding of customer cloud migration journeys and common challenges associated with moving workloads between cloud providers.
- Ability to deliver engaging technical presentations to large audiences, demonstrating strong public speaking skills and deep technical expertise.
- Strong business acumen aligned to strategic IT initiatives like cloud migrations and digital transformation.
About the job
As an Infrastructure Go-to-Market (GTM) Lead, you will be instrumental in ensuring the reliability, performance, and scalability of Google Cloud's core infrastructure, supporting a wide range of customer workloads running on Google Cloud Infrastructure. You will work to optimize existing infrastructure, design and implement improvements, and provide technical expertise to ensure seamless operations focused specifically when competing against other hyperscalers.
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 $202,000-$284,000 + 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.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about .
Responsibilities
- Architect and execute scalable business campaigns that enable seamless migration or creation of new infrastructure intensive applications to Google Cloud, minimizing disruption and maximizing performance, reliability and cost savings.
- Serve as a trusted advisor, offering deep VMware and Infrastructure expertise and strategic insights to address customer challenges and unlock the full potential of Google Cloud.
- Drive customer value by collaboratively designing and implementing scalable Google Cloud AI Infra Solutions, leading strategic migrations, and showcasing AI Infrastructure capabilities through compelling business demonstrations.
- Partner with Product and Engineering teams to shape the future of Google Cloud's offerings, incorporating customer insights and staying ahead of industry trends.
- Build relationships with customers and partners, ensuring their Infrastructure workloads grow Google Cloud through proactive support and continuous optimization.
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