Senior AI Product Operations Manager, Growth AI Transformation

Join Google’s Growth AI Transformation team to help deliver agentic workflows that support global marketing growth across product scoping, knowledge structuring, and cross-functional execution.

Responsibilities

• Design and structure prompt-aware content so AI agents can deliver accurate, empathetic responses.
• Determine when to use deterministic context versus when LLM reasoning is needed.
• Organize, tag with metadata, and chunk internal data to improve Retrieval-Augmented Generation (RAG) and semantic search systems.
• Analyze failed agent runs and awkward handoffs to identify context gaps.
• Implement real-time fixes to the agent knowledge base based on observed failure modes.
• Partner across Product, Legal, and Brand teams to harvest functional knowledge and translate it into structured formats for AI agents.
• Define durable, long-term user experience strategies across multiple teams.
• Drive cross-functional alignment on complex or open-ended challenges in agentic ecosystems.
• Mitigate unintentional harm in agentic ecosystems.

Requirements

• Bachelor's degree or equivalent practical experience.
• 11+ years of experience in management consulting, product management and strategy, or analytics in a technology company.
• Experience working with and analyzing data.
• Experience managing multiple cross-functional programs or projects.
• Experience working with Generative AI Agent Capabilities and LLM/Model Orchestration.
• Experience with User Experience (UX) Strategy and Information Architecture.
• Experience integrating LLMs or agentic tools into production-ready web environments or growth-focused workflows (examples include autonomous journey orchestration and algorithmic brief generation).
• Expertise in designing MarTech architectures or AI-driven growth applications.
• Ability to analyze situations at a system level, including how technical and organizational components interrelate over time in agentic ecosystems.
• Ability to build and test code quickly to solve targeted problems while maintaining clean, reusable structures for future patterns.
• Skilled in using analytics to diagnose root causes of agent failure and optimize performance.

Technologies

• Generative AI Agent Capabilities
• LLM/Model Orchestration
• Retrieval-Augmented Generation (RAG)
• Semantic search
• LLMs
• Agentic tools

Benefits

• Health insurance
• 20% bonus target
• Equity
• Benefits
• US: $176000 - $256000 (USD) + 20% bonus target + equity + benefits