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Job Description

  • Partner with Support, Engineering, and other cross-functional leadership to define and drive the strategic roadmap for technical support innovation and agility across the AI/ML product portfolio.
  • Understand customer issues, advocate for their needs with internal teams, including product and engineering teams, to find ways to deliver support and products.
  • Resolve technical troubleshooting and mitigating complex systemic problems faced by our customers.
  • Design the future state of technical support and customer experience by defining and advocating new standards for support processes, telemetry, tooling, and operational readiness.
  • Oversee support launch readiness and excellence for new AI/ML products and identify targeted opportunities to transform the support experience.

Minimum qualifications:

  • Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
  • 9 years of experience in a technical role (e.g., Technical Solutions Engineer, Software Engineer, Customer Engineer, Professional Services, or Technical Program Management), troubleshooting or triaging technical issues.
  • Experience in Google Cloud Platform, ADK, Generative AI and with AI model training, testing, evaluation, and tuning processes.
  • Experience with web technologies (e.g., HTTP, HTML, DNS, TCP).
  • Experience leveraging AI to build, read, and debug code (any language).

Preferred qualifications:

  • Experience leading projects or initiatives from design/concept through to delivery (e.g., driving a major feature improvement or new internal tool).
  • Ability to analyze and influence systems architecture and design patterns to improve supportability, debuggability, and diagnosability across the AI/ML product suite.
  • Ability to grow in changing environments and requirements.
  • Ability to lead the design and implementation of AI-based solutions, web services, debugging tools, and to work across Support and Product Engineering teams to align priorities and drive outcomes.
  • Excellent leadership and influencing skills in the application of Artificial Intelligence (AI) or Machine Learning (ML).
  • Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
  • 9 years of experience in a technical role (e.g., Technical Solutions Engineer, Software Engineer, Customer Engineer, Professional Services, or Technical Program Management), troubleshooting or triaging technical issues.
  • Experience in Google Cloud Platform, ADK, Generative AI and with AI model training, testing, evaluation, and tuning processes.
  • Experience with web technologies (e.g., HTTP, HTML, DNS, TCP).
  • Experience leveraging AI to build, read, and debug code (any language).
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  • Role Supportability Technical Lead, AI/ML, Google Cloud
  • Experience 5-7 years
  • Education Bachelor Degree, or equivalent experience
  • Work type On-site
  • Location United States
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Google
AI Research Lab · 500+ Members · Mountain View, CA, United States

Google builds internet, software, cloud, and AI products used by consumers, developers, and organizations. Its portfolio includes Search, YouTube, Android, Chrome, Maps, Gmail, Workspace, Google Cloud, advertising platforms, devices, and Gemini AI products. The company develops large-scale computing infrastructure and research that power information retrieval, communication, productivity, media, navigation, and machine learning. Google is the largest operating business within Alphabet and earns a substantial share of its revenue from digital advertising.

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Job Overview

Approx. salary range

183K – 237K

Our estimate — this employer did not publish a salary

Our estimate, not the employer’s. Worked out from the middle half of 32 comparable roles on Neural Jobs that did publish a salary, in the same field, country and experience band. The real figure for this job may be different.

Eligibility
United States Right to work in the United States required.
Workplace
On-site
Job Posted:
2 weeks ago
Job Type
Full Time
Education
Bachelor Degree, or equivalent experience
Experience
5-7 years

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