Cloud AI Customer Engineer — Prototyping & Technical Wins

Google; San Francisco (CA); Presencial; USD 152 000 - 221 000; Tempo integral

Resumo da oferta

Google Cloud is seeking a Practice Customer Engineer (Cloud AI) to accelerate technical wins and adoption of complex workloads. You will partner with technical sales, develop prototypes, and demo solutions that address customer workflows and integration challenges.

You will engage with customers, articulate business value, and collaborate with Platform CEs, Product, and Engineering to influence product direction while solving AI-centric customer problems.

Qualificações

• Bachelor's degree or equivalent practical experience required.
• 10 years of cloud native architecture experience in customer-facing or support roles.
• Experience with ML model development or deployment.
• Experience with AI agent orchestration frameworks and related design patterns.
• Experience presenting to technical stakeholders and executives.

Responsabilidades

• Drive technical wins for Cloud AI and support the sales cycle from evaluation to customer ramp.
• Provide functional, customer-tailored solutions combining sales strategy with prototyping.
• Offer deep technical consultation and build lasting customer relationships.
• Create reusable solutions and assets with the Go-To-Market team based on field learnings.
• Document and prioritize customer feature requests with Product and Engineering teams.

Conhecimentos

Cloud native architecture

ML model development/deployment

AI agent orchestration

Stakeholder communication

Executive presentation

Formação académica

Bachelor's degree or equivalent practical experience

Master's degree (preferred)

Descrição da oferta de emprego

Google Cloud is seeking a Practice Customer Engineer (Cloud AI) to accelerate technical wins and adoption of complex workloads. You will partner with technical sales, develop prototypes, and demo solutions that address customer workflows and integration challenges.

You will engage with customers, articulate business value, and collaborate with Platform CEs, Product, and Engineering to influence product direction while solving AI-centric customer problems.