About Google
Learn more about Google. Explore our innovative AI products and services, and how we. Backed by Kleiner Perkins.
About the role
When leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Bachelor's degree or equivalent practical experience
- 10 years of experience in technical pre-sales, systems engineering, or technical consulting focused on modern HPC, AI networking, or GPU/accelerator application performance
- Experience building and executing technical sales strategies for enterprise customers across distributed organizations
- Experience architecting and selling full-stack AI/ML compute infrastructure and data center solutions
- Experience engaging with, and presenting to, technical stakeholders and executive leaders
More about this role
- Lead customer-facing technical engagements, partnering with C-level executives, research leads, and engineering teams to define AI infrastructure strategy and optimize price-per-flop performance.
- Guide customers through complex system architecture designs, including workload sizing, mixed-compute deployments, and performance trade-offs between TPU and GPU clusters.
- Partner cross-functionally with Core Infrastructure Engineering, Specialist Sales, and Product Management to resolve technical blockers on tier-one engagements and develop global sales playbooks.
- Define requirements across backend operational layers and distributed systems to accelerate adoption of specialized accelerator hardware and large model training/inference stacks.
- Represent customer requirements back to product and engineering teams to influence future hardware roadmaps, software tooling, and platform capabilities.
- Bachelor's degree or equivalent practical experience.
- 10 years of experience in technical pre-sales, systems engineering, or technical consulting focused on modern HPC, AI networking, or GPU/accelerator application performance.
- Experience building and executing technical sales...
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