Senior Engineering Manager, AI Intelligent Database Management

Direct, mentor, and grow an engineering team, directly managing Engineering Managers, architects, and backend platform engineers alongside the Databases UI team.Lead the execution of Virtual DBA, driving the transition of database operations from manual, reactive issue resolution to natural-language, policy-defined fleet operations running autonomously from Day 0 to Day 2.Partner with architects to guide the implementation of secure, production-grade agentic infrastructure, including multi-agent parallel execution, adaptive cognitive learning loops, and persistent background agents across Google Cloud databases.Oversee the delivery of developer and user tools, ensuring backend autonomous agent states are visualized in the Command Center, alongside the development of VS Code extensions, Agent Registries, and Skills Registries.Minimum qualifications:Bachelor's degree or equivalent practical experience.8 years of experience in software development.5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.5 years of experience in a people management or team leadership role.2 years of experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).Preferred qualifications:Master’s degree or PhD in Engineering, Computer Science, or a related technical field.5 years of experience building large-scale distributed databases, data warehouses, lakehouses and similar architectures.5 years of experience with Information Security, Governance and Compliance for enterprise cloud services.Agentic Experiences drive AI innovation across the stack. We design dynamic, autonomous workflows, first-party (1P) agents, and user experiences that proactively solve complex problems for our customers with an agent-first mindset. For database teams looking to scale operations and eliminate mundane management tasks for the agentic era, Virtual DBA provides persistent, autonomous AI agents that operate in the background to manage database fleets at scale. In contrast, traditional database management is manual, reactive, and fragmented even when AI is used. It forces database administrators (DBAs) into constant issue resolution, semi-automated telemetry correlation across disparate tools, and rigid, script or prompt-based maintenance that fails to scale with modern enterprise footprints. Virtual DBA is a fully autonomous, life-cycle-aware database management framework. By allowing customers to define operational policies in natural language and Day 0 to Day 2 operations to AI, Virtual DBA scales human expertise without requiring more resources, ensuring database fleets run optimal, secure workloads automatically.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $262000 - $364000 (USD) + 25% bonus target + equity + benefitsLearn more about benefits at Google.Bachelor's degree or equivalent practical experience.8 years of experience in software development.5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.5 years of experience in a people management or team leadership role.2 years of experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).