Engineering Manager, GenAI & Autonomous Cloud Systems

Google

United States

On-site

USD 207,000 - 300,000

Full time

10 days ago
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Job summary

Google's AutoCloud Agentic AI Systems team seeks a Software Engineering Manager to guide engineers building autonomous AI-driven cloud management tools for enterprise workloads.

You will own outcomes, mentor engineers, coordinate with Google Cloud and DeepMind leadership, and drive delivery of secure, scalable agentic systems while maintaining high engineering standards and robust performance benchmarks.

Qualifications

  • Bachelor's degree or equivalent practical experience.
  • 8 years of experience in software development.
  • 5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
  • 3 years of experience in a technical leadership role.
  • 2 years of experience with state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (e.g., language modeling, computer vision).
  • 2 years of experience in a people management or team leadership role.

Responsibilities

  • Manage, mentor, and grow a team of software engineers. Conduct 1:1, support career, manage performance, foster culture, and lead recruiting and hiring initiatives.
  • Lead end-to-end engineering execution across multi‑quarter roadmaps—ensuring timely delivery of scalable, secure, and production‑ready agentic systems and customer user journeys.
  • Partner with Product Management, UX, and Technical Leads to translate business goals into clear technical milestones, sprint plans, and effective resource allocation.
  • Build strong partnerships with Engineering Managers, Directors across Google Cloud to resolve cross‑team dependencies and drive joint technical deliverables.
  • Advocate high standards for code quality, architectural reviews, CI/CD, system availability, on‑call health, and LLM evaluation/benchmarking methodologies.

Skills

Software development
Technical leadership
People management
GenAI / LLMs
ML infrastructure

Education

Bachelor's degree or equivalent practical experience
Master's degree or PhD in Engineering/CS

Tools

Vector databases
Knowledge graphs
IR / Hybrid search
Graph data stores
Distributed systems

Job description

Google's AutoCloud Agentic AI Systems team seeks a Software Engineering Manager to guide engineers building autonomous AI-driven cloud management tools for enterprise workloads.

You will own outcomes, mentor engineers, coordinate with Google Cloud and DeepMind leadership, and drive delivery of secure, scalable agentic systems while maintaining high engineering standards and robust performance benchmarks.

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