Senior AI/ML Cloud Solutions Engineer

Google; San Francisco (CA); On-site; USD 152,000 - 221,000; Full time

Job summary

Google Cloud is seeking a Customer Engineer in San Francisco to partner with the technical Sales team and serve as the AI/ML subject matter expert to differentiate Google Cloud for customers.

You will help prospects and partners understand Google Cloud, develop cloud architectures, run proofs of concept, solve technical questions, and collaborate with product engineering to improve offerings.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 10 years of experience with cloud native architecture in a customer-facing or support role.
• 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.
• Share in-depth AI/ML expertise to support the technical relationship with customers, including technology advocacy, supporting bid responses, product and solution briefings, proof-of-concept work, and partnering directly with product management to prioritize solutions impacting customer adoption to Google Cloud.
• Work directly with Google Cloud products to demonstrate and prototype integrations in customer and partner environments.
• Recommend integration strategies, enterprise architectures, platforms, and application infrastructure required to successfully implement a complete solution on Google Cloud.
• Travel to customer sites, conferences, and other related events as required, acting as a public advocate for Google Cloud.

Skills

AI/ML expertise

Executive-level presentations

Cloud native architecture

Education

Bachelor's degree

Job description

Google Cloud is seeking a Customer Engineer in San Francisco to partner with the technical Sales team and serve as the AI/ML subject matter expert to differentiate Google Cloud for customers.

You will help prospects and partners understand Google Cloud, develop cloud architectures, run proofs of concept, solve technical questions, and collaborate with product engineering to improve offerings.