Software Engineering Manager, Business AI Agent

Responsibilities

• Manage and mentor a Software Engineering team, owning the roadmap and architecture for applied AI, low-latency scoring, and automated evaluation.
• Lead Knowledge Library and merchant control engineering, building advanced RAG integrations (PDF ingestion, auto-learning) for custom agent behavior.
• Oversee autonomous execution tooling and Universal Commerce Protocol (UCP) integration to enable active user journeys (catalog lookups, universal carts, reservations).
• Advocate prompt tuning and loss diagnosis while scaling LLM-based AutoRater frameworks to reduce hallucinations and measure conversation factuality.
• Partner with Product, Data Science, UX, and core Google platform teams to define Ground Truth datasets, analytical dashboards, and model upgrade standards.
• - Manage and mentor a Software Engineering team, owning the roadmap and architecture for applied AI, low-latency scoring, and automated evaluation. - Lead Knowledge Library and merchant control engineering, building advanced RAG integrations (PDF ingestion, auto-learning) for custom agent behavior. - Oversee autonomous execution tooling and Universal Commerce Protocol (UCP) integration to enable active user journeys (catalog lookups, universal carts, reservations). - Advocate prompt tuning and loss diagnosis while scaling LLM-based AutoRater frameworks to reduce hallucinations and measure conversation factuality. - Partner with Product, Data Science, UX, and core Google platform teams to define Ground Truth datasets, analytical dashboards, and model upgrade standards.

Minimum qualifications: