About Google
Learn more about Google. Explore our innovative AI products and services, and how we. Backed by Kleiner Perkins.
About the role
Google Cloud’s mission is to make every business successful through AI by combining cutting-edge technology, infrastructure, and talent. AI/ML software engineers in Cloud bridge the gap between pioneering models and a massive product vehicle reaching billions. Our talent density and AI-powered tools drive rapid development, rooted in a culture of empowerment and a bias to action.
What they're looking for
- Bachelor’s degree or equivalent practical experience
- 8 years of experience in software development
- Experience in technical leadership, leading project teams, and setting technical direction
- Experience in people management
More about this role
- Lead, grow, and develop a team of engineers building production AI agent systems for Google Cloud Support, owning delivery, technical direction, and career growth for the team.
- Own a significant problem area within the CSP Intelligence charter
- Set technical direction for multi-agent architecture, orchestration, tool/skill design, and evaluation in an area where the platform landscape is still being decided — and make the calls on what we build, what we adopt, and what we retire.
- Drive measurable business outcomes: self-service deflection rate, time-to-resolution, average handle time, and customer effort score — and define the metrics and evaluation harnesses that prove it.
- Build the quality bar for applied AI: systematic evals, regression gates, and safe rollout practices for agents that take real actions on customer accounts.
- Bachelor’s degree or equivalent practical experience.
- 8 years of experience in software development.
- Experience in technical leadership, leading project teams, and setting technical direction.
- Experience in people management.
- Master's degree or PhD in related field.
Google Cloud’s mission is to make every business successful through AI by...
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