Personalization Product Manager, Data Platform

What you'll do

• Lead the strategy and execution of machine learning-powered personalization and next-best-action capabilities across multiple channels.
• Translate user research and analytics into clear product roadmaps, epics, user stories, and acceptance criteria.
• Manage day-to-day backlog grooming and sprint execution from the discovery phase through product launch.
• Partner with data science and engineering teams to design, train, evaluate, and monitor machine learning model lifecycles.
• Design and iterate on recommendation, next-best-action, and agentic solutions for mobile, web, and contact center platforms.
• Run experiments to validate product impact and track metrics including engagement, quality, and cost.
• Define requirements for context signals and memory for agentic assistants within an API-first, event-driven cloud architecture.
• Ensure all product features uphold privacy, consent, and fairness standards through responsible data practices.

What we're looking for

• 5+ years of experience or equivalent expertise in product management or a relevant domain area.
• Proficient knowledge of the product development life cycle, including discovery and requirements definition.
• Working knowledge of data analytics and data literacy.
• Experience delivering customer-facing artificial intelligence products with data science and engineering teams across the model lifecycle.
• Ability to understand and query data sets for analysis or requirements gathering using SQL or Python.
• Experience executing core product practices including discovery, requirements, and backlog management in Jira.
• Experience supporting personalization and decisioning products with hands-on experiment design and measurement (preferred).
• Working knowledge of API-first, event-driven architectures on cloud platforms and production monitoring fundamentals (preferred).