Founding Staff Software Engineer, Agentic Data Warehouse

• Explore and prototype AI-native methods, including spec-driven data development, semantic specification models, and agentic spec-to-config compilation.
• Contribute technical proposals, including novel product features, neuro-symbolic methodologies, and practical execution paths.
• Deliver detailed system design, production coding, and validation for the Agentic Data Warehouse Platform.
• Maintain code quality through thorough design and code reviews for production code and agent skills.
• Collaborate with engineers across storage, query, and pipeline components to integrate aDWH and prioritize feature requests.

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience programming in C++.
• 5 years of experience testing, and launching software products.
• 5 years of experience building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.
• 3 years of experience with software design and architecture., * Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
• 8 years of experience with data structures and algorithms.
• 3 years of experience in a technical leadership role leading project teams and setting technical direction.
• 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
• Experience building agentic workflows, coding and data agents, structured agent skills, and evaluation harnesses.

As a Founding Staff Software Engineer for the Agentic Data Warehouse (aDWH), you will pioneer a novel, AI-native approach to data warehousing at Google. Working within our core data intelligence team, you will help build a 0-to-1 platform that reimagines how data warehouses are created, governed, and utilized in the era of autonomous AI agents.

In this highly collaborative and direct role, you will co-develop a spec-driven architecture that translates natural-language investigative goals into structured, deterministic configurations. Your work will directly bridge autonomous AI agents with Google’s planet-scale production data infrastructure, ensuring high-quality, reliable, and hallucination-free data assets.

This is a unique opportunity to shape the future of data analytics infrastructure, blending modern AI-native engineering methodologies with decades of battle-tested distributed systems development.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google.