Senior Product Manager, Agentic Applications
Confirmed on the employer's own hiring board on Oct 22, 2026. First seen by Alion on Oct 16, 2026. Google scores B on the Alion truth index.
About the job
At Google, we put our users first. The world is always changing, so we need Product Managers who are continuously adapting and excited to work on products that affect millions of people every day.
In this role, you will work cross-functionally to guide products from conception to launch by connecting the technical and business worlds. You can break down complex problems into steps that drive product development.
One of the many reasons Google consistently brings innovative, world-changing products to market is because of the collaborative work we do in Product Management. Our team works closely with creative engineers, designers, marketers, etc. to help design and develop technologies that improve access to the world's information. We're responsible for guiding products throughout the execution cycle, focusing specifically on analyzing, positioning, packaging, promoting, and tailoring our solutions to our users.
As a Senior Product Manager on the Performance, Rewards, and Global Mobility (PRGM) team, you will guide the product strategy and execution of agentic applications across total rewards, benefits, and performance management. Operating as "Customer Zero" with Google's latest Gemini models, you will partner cross-functionally to replace legacy, form-based workflows with intelligent, multi-agent experiences. These products will empower Googlers and leaders to make critical talent and compensation decisions with speed and transparency.
Bridging product goal with technical execution, you will define multi-agent orchestration patterns and hybrid reasoning pipelines. By establishing thorough evaluation frameworks for accuracy and privacy, you will establish best practices for how enterprise-grade AI agents operate at Google scale.
At Corp Eng, we build world-leading business solutions that scale a more helpful Google for everyone. As Google’s IT organization, we provide end-to-end solutions for organizations across Google. We deliver the right tools, platforms, and experiences for all Googlers as they create more helpful products and services for everyone. In the simplest terms, we are Google for Googlers.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $192000 - $278000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google.
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.
Qualifications
Minimum 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.
Preferred qualifications:
- 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.