Overview
As a hands-on AI builder PM, you will shape autonomous merchandising by prototyping and shipping multi-agent systems that automate the experimentation lifecycle. You’ll define trust, governance, and production-ready patterns, working across engineering, data science, and design to scale agent-enabled optimization across Expedia Group brands. Your work will directly impact traveler experiences and set patterns for autonomous optimization in the travel journey.
Responsibilities
- Own the product direction for autonomous merchandising optimization from setup to continuous testing and rollout within defined success metrics and guardrails
- Prototype agentic flows hands-on, coordinating sub-agents, tool calls, prompts, memory, and evaluation harnesses
- Take prototypes to production with engineering, DS/ML, and design, including governance, rollback, audit trails, and measurable agent actions
- Define the trust architecture for agents on live experiences, including preview/approve/undo, escalation, explainability, and override tracking
- Drive measurable outcomes by compressing experiment cycles, increasing throughput, and demonstrating revenue lift without compromising traveler trust
- Collaborate with experimentation, content/configuration platforms, GenAI platform, and brand teams to enable end-to-end agent capabilities across Expedia brands
- Evaluate frontier-capabilities and translate them into product concepts and demos
- Lead the organizational shift by building brand team trust and defining governance and playbooks for agent-driven merchandising across the group
Key requirements
- 10+ years of product management experience with consumer or platform products, including AI/ML or complex systems
- Strong technical depth with experience partnering with engineering and DS/ML teams; ability to discuss agent architectures, data flows, and constraints
- Hands-on prototyping ability using APIs/SDKs from major LLM providers and writing code (Python or TS/JS) to stitch prompts, tools, and workflows
- Track record of taking product ideas from concept to prototype to launch with measurable impact
- Deep experience with experimentation and measurement: scalable A/B testing, guardrails, instrumentation, and using data to drive iteration
- Strong communication and collaboration skills to align senior stakeholders
- strong communication
- collaboration
- ability to translate complex topics for diverse audiences
- APIs/SDKs integration with LLM providers
- Python
- TypeScript/JavaScript
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