About the job
As a Software Engineering Manager in BigQuery’s Analytics AI organization, you will build the intelligent backbone and experiences for the next generation of data processing. You will build agents, skills, and tools that assist the entire data lifecycle; furthermore, you will be a key driver in building the surfaces and tools that make data development intuitive, fast, and seamless. You will collaborate with product managers, engineers, scientists, and designers to create unified, AI-accelerated agents and developer experiences that push the boundaries of how humans and AI collaborate on code and data.
Responsibilities
Design and develop next-generation agentic solutions and data developer experiences such as data ingestion, data pipelines, data science, feature extraction, model training, and more.
Develop and maintain the technical roadmap of the team’s charter.
Collaborate cross-functionally with Product, Data Scientists, Applied Scientists, and UX Designers and cross-teams to define the roadmap for AI-native data journeys.
Iterate and enhance agentic frameworks by contributing to sophisticated tool-use, memory, context retrieval, multi-step orchestration, and evaluation (evals) to ensure accuracy and reliability of orchestration at petabyte scale.
Lead the team on defining and executing on goal and long-term strategy.
Qualifications
Minimum
Bachelor's degree or equivalent practical experience.
8 years of experience with Generative AI (Large Language Models, Multi-Modal Models) and Agentic Technologies (e.g., MCP, ADK, A2A, etc.).
2 years of experience in a people management or team leadership role.
1 year of experience building developer tools that improve developer velocity, code quality and code health (e.g., compilers, automated releases, code design and testing, test automation frameworks).
Preferred
Experience in building developer-facing products for integrated development environments (IDEs like VSCode) or Command Line.
Experience with Large Language Models for code (e.g., Gemini, GPT-4, Claude), modern cloud infrastructure, and industry-standard developer tool frameworks.