AI-Powered Growth Marketing Product Manager

PowerToFly; Seattle (WA); On-site; USD 173,000 - 243,000; Full time

Benefits offered by this job

Medical, dental, and vision coverage

Paid time off

Employee Assistance Program

Wellness and travel reimbursement

Travel discounts

IATAN membership

Job summary

Expedia Group is seeking a Product Owner to lead AI, ML, automation, and decisioning capabilities within Growth Marketing Technology. You’ll work with engineering, data science, analytics, and marketing to define scalable marketing tech and measurable outcomes across platforms like Google, Meta, and Apple.

The role requires translating complex problems into clear product requirements, owning the lifecycle, and driving data-driven improvements with a strong emphasis on reliability and

Qualifications

• Bachelor’s or Master’s degree in a technical field or equivalent experience.
• 8+ years of product management with data, AI/ML, or decisioning ownership.
• Experience taking AI/ML from prototype to production at scale.

Responsibilities

• Lead product strategy, roadmap, and execution for AI/ML, automation, and decisioning.
• Partner with engineering, data science, analytics, and marketing to design scalable solutions.
• Translate complex marketing problems into clear product requirements and data flows.
• Own the product lifecycle with engineering and data science, including pipelines and deployments.
• Drive productionization of AI capabilities, with tool use, orchestration, and guardrails.
• Define validation approaches and success metrics for AI/ML products.

Skills

AI

ML

SQL

Python

Data pipelines

MLOps

APIs

Observability

Reliability

Education

Bachelor’s or Master’s in CS/Engineering/Data Science

Tools

APIs

Job description

Expedia Group is seeking a Product Owner to lead AI, ML, automation, and decisioning capabilities within Growth Marketing Technology. You’ll work with engineering, data science, analytics, and marketing to define scalable marketing tech and measurable outcomes across platforms like Google, Meta, and Apple.

The role requires translating complex problems into clear product requirements, owning the lifecycle, and driving data-driven improvements with a strong emphasis on reliability and