Senior Product Manager, Agentic Applications

Google is seeking a Senior Product Manager to guide product strategy and execution for agentic applications across its Performance, Rewards, and Global Mobility portfolio. The role will lead AI-powered enterprise workflow products and define multi-agent orchestration, evaluation, quality, and privacy practices.

Responsibilities

• 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

Preferred

• Master's degree in a technology or business related field
• Experience architecting and shipping multi-agent systems, MCP (model context protocol) integrations, A2A (agent-to-agent) 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 BSAs (business system 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
• Master’s Degree in Technology
• Multi-Agent Systems
• MCP Integrations
• A2A Orchestration
• Hybrid Workflow Design
• Deterministic Business Logic
• LLM Reasoning
• Enterprise HR Tech
• FinTech
• Enterprise Decision-Support Platforms
• Data Source Integration
• Governed Semantic Layers
• Legacy Application Modernization
• AI-Native Experience Design
• Outcome Metrics
• Product Tradeoff Analysis
• Business Systems Analysis
• Data Engineering
• Policy Alignment
• Executive Communication
• Investigative Skills
• Ambiguity Framing
• Cross-Functional Collaboration

Benefits

• 20% bonus target
• Equity

Company

• Internet search and productivity software with AI products
• Mountain View, California, USA
• https://www.google.com/
• Founded in 1998
• 10001+ employees

Qualifications

• Bachelor's degree or equivalent practical experience
• 8 years of experience in product management or related technical role
• 3 years of experience taking technical products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1, etc)
• 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
• Master's degree in a technology or business related field
• Experience architecting and shipping multi-agent systems, MCP (model context protocol) integrations, A2A (agent-to-agent) 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 BSAs (business system 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
• 8 years of experience in product management or related technical role.
• 3 years of experience taking technical products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1, etc).

Required skills

• Product Management, Generative AI and LLM Integration, Retrieval-Augmented Generation (RAG), AI Evaluation Frameworks, Enterprise Systems and Data Platform Strategy, Multi-Agent Systems, Model Context Protocol (MCP), Agent-to-Agent (A2A) Orchestration, Hybrid Workflows Combining Business Logic and LLM Reasoning, Enterprise HR Technology, FinTech, or Decision-Support Platforms, Governed Semantic Layers, Enterprise Application Modernization, Executive Communication

Preferred skills

• Master's degree in a technology or business related field

Experience

• 8+ years