Senior Product Manager, Agentic Applications
About The Position
As a Senior Product Manager on Google’s Performance, Rewards, and Global Mobility (PRGM) team, guide the strategy and execution of agentic applications across total rewards, benefits, and performance management. Operating as “Customer Zero” with Google’s latest Gemini models, partner across functions to replace legacy, form-based workflows with intelligent, multi-agent experiences that help Googlers and leaders make critical talent and compensation decisions with speed and transparency. Bridge product goals with technical execution by defining multi-agent orchestration patterns and hybrid reasoning pipelines. Establish evaluation frameworks for accuracy and privacy, and set best practices for enterprise-grade AI agents operating at Google scale. Work with engineers, designers, marketers, and other partners to guide products from conception to launch and improve the solutions provided to Googlers. At Corp Eng, Google’s IT organization, build business solutions, tools, platforms, and experiences that support organizations across Google.
Requirements
- Bachelor's degree or equivalent practical experience.
- 8 years of experience in product management or a related technical role.
- 3 years of experience taking technical products from conception to launch.
- Experience integrating generative AI tools or LLM interfaces into workflows, including grounding/RAG architectures, tool use, or AI evaluation frameworks.
- Experience with cross-functional product strategy across enterprise systems and data platforms.
Nice To Haves
- Master's degree in a technology- or business-related field.
- Experience architecting and shipping multi-agent systems, MCP integrations, A2A orchestration, and hybrid workflows that blend deterministic business logic with LLM reasoning.
- Domain experience in enterprise HR Tech, FinTech, or high-stakes enterprise decision-support platforms.
- Experience partnering with business systems analysts, data engineering teams, and policy owners to unify fragmented data sources into clean, governed semantic layers.
- Experience transforming legacy enterprise applications into modern, AI-native experiences.
- Executive communication and investigative skills, with experience framing ambiguous organizational problems into outcome metrics and structured product tradeoffs.
Responsibilities
- Define and execute the multi-year product goal, strategy, and roadmap for agentic applications across the Performance, Rewards, and Global Mobility portfolio.
- Lead the end-to-end design and launch of Agentic Application Services (A2S) combining 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, translating global policy and business rules into scalable platform capabilities.
- Guide products from conception to launch by connecting technical and business considerations and breaking complex problems into steps that drive product development.
- Analyze, position, package, promote, and tailor solutions to users.
Benefits
- 20% bonus target
- Equity
- Benefits
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
