AI/ML Supportability Lead — Drive Support Innovation

Google LLC; Sunnyvale (CA); Sur place; USD 176 000 - 256 000; Plein temps

Résumé du poste

Google Cloud Platform seeks a Supportability Technical Lead, AI/ML, to guide cross-functional teams in shaping the future of AI-enabled support. You will align product and engineering efforts to improve debuggability and customer experience, combining AI capabilities with scalable support processes.

You will partner with Support and Engineering to drive innovation, influence architecture, and ensure readiness for new AI/ML products while delivering measurable improvements for customers.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 13+ years in a technical role with troubleshooting/triaging focus.
• Experience with Google Cloud Platform, Generative AI, and AI model training/evaluation.
• Familiar with web technologies (HTTP, HTML, DNS, TCP) and AI-enabled code debugging.

Responsabilités

• Partner with Support, Engineering and leadership to roadmap AI/ML support innovation.
• Advocate for customer issues with product/engineering to improve support and products.
• Resolve complex troubleshooting and systemic problems faced by customers.
• Design and drive new standards for support processes, telemetry and tooling.
• Oversee launch readiness and excellence for new AI/ML products.

Connaissances

Google Cloud Platform

Generative AI

AI model training

AI debugging

Web technologies (HTTP, HTML, DNS, TCP

Troubleshooting / triaging

Formation

Bachelor's degree in Science, Technology, Engineering, or Math

Outils

ADK

Description du poste

Google Cloud Platform seeks a Supportability Technical Lead, AI/ML, to guide cross-functional teams in shaping the future of AI-enabled support. You will align product and engineering efforts to improve debuggability and customer experience, combining AI capabilities with scalable support processes.

You will partner with Support and Engineering to drive innovation, influence architecture, and ensure readiness for new AI/ML products while delivering measurable improvements for customers.