Define and execute the multi-year product goal, strategy, and roadmap for agentic applications across the Performance, Rewards, and Global Mobility (PRGM) portfolio. Lead the end-to-end design and launch of Agentic Application Services (A2S) that combine conversational and proactive AI agents with enterprise workflows for compensation, total rewards, benefits navigation, and performance management. Partner with Engineering and AI Architects to build on the agentic platform, leveraging Agent-to-Model and A2A orchestration, MCP tool ecosystems, and governed Data grounding.
Establish AI evaluation and quality standards, including golden datasets, LLM-as-a-judge autoraters, human-in-the-loop domain calibration, latency SLAs, and privacy and compliance guardrails Provide functional product leadership to cross-functional pods of Engineers, Business Systems Analysts, and UX designers to translate global policy and business rules into scalable platform capabilities.
Job description provided by Google.
View the original posting
