Customer Engineer – Cloud AI – Google Cloud
| Company | |
|---|---|
| Location | Seattle, WA, USA, Chicago, IL, USA, New York, NY, USA |
| Salary | $125000 – $183000 |
| Type | Full-Time |
| Degrees | Bachelor’s |
| Experience Level | Senior, Expert or higher |
Requirements
- Bachelor’s degree or equivalent practical experience.
- 6 years of experience with cloud native architecture in a customer-facing or support role.
- 5 years of technical sales experience.
- Experience engaging with, and presenting to, technical stakeholders and executive leaders.
Responsibilities
- Work with the team to identify and qualify business opportunities, understand key customer technical objections and develop the strategy to resolve technical blockers.
- Provide in-depth machine learning expertise to support the technical relationship with Google’s customers, including product and solution briefings, proof-of-concept work, and partner directly with product management to prioritize solutions impacting customer adoption to Google Cloud.
- Work with customers to demonstrate and prototype Google Cloud product integrations in customer/partner environments.
- Recommend integration strategies, enterprise architectures, platforms and application infrastructure required to successfully implement a complete solution using best practices on Google Cloud.
- Travel to customer sites, conferences, and other related events as required.
Preferred Qualifications
- Experience designing/architecting infrastructure farms for specialist AI use cases.
- Experience training and fine tuning large models (i.e., image, language, segmentation, recommendation, genomics) with accelerators.
- Experience with containerization, K8s, Kubernetes on cloud.
- Experience with running MLPerf benchmarks.
- Experience with performance profiling tools (i.e.,Tensorflow profiler, PyTorch profiler, Tensorboard).
- Ability to engage with C-level or executive business leaders and influence decisions.