Senior Product Manager, Personalization ML Products

The role

You will own the product and model strategy for Product Recommendations and Message Prioritization. You will manage roadmaps, define model success frameworks, and partner with ML and engineering teams to deliver ML-powered features.

What you will do

• Own the roadmap for Product Recommendations including model type selection and catalog data structure decisions
• Own the roadmap for Message Prioritization defining how the model balances frequency limits against conversion and revenue
• Define model success and build frameworks to measure lift, conversion improvement, and revenue impact
• Partner with ML modeling and software engineering teams to translate model capability into features
• Design product experiences that make ML-driven decisions understandable and explainable to marketers
• Influence teams beyond direct authority to align on priorities and deliver feature outcomes
• Take full ownership of model and feature performance after launch
• Build a point of view on why brands pay for ML-powered personalization features to shape future builds
• Grow into ownership of additional ML-powered feature pods

Required qualifications

• 3–5+ years of PM experience owning ML-powered or data-driven product features in a production environment
• Direct experience evaluating and tracking ML model performance including lift measurement and experiment design
• Comfortable partnering with software engineering and ML modeling or data science teams
• Customer obsession to translate brand needs into roadmap decisions
• Strong instincts for human behavior and UX
• Comfortable working with complex data structures like product catalogs
• High agency to take ownership of outcomes and pull in necessary partners
• Track record of driving cross-functional alignment and shipping through ambiguity

Nice to have

• Experience with recommendation systems or catalog-driven ML products
• Experience with message optimization, cadence, or frequency-capping problems
• Background in martech, ecommerce, or CDP products
• Experience building enterprise-grade customization layers on top of ML models
• Experience as an embedded PM partner to a data science or ML engineering team

Benefits

• Annual cash bonus plan
• Equity
• Sign-on payments
• Health, welfare, and wellbeing benefits

About the company

Klaviyo empowers creators to own their destiny by making first-party data accessible and actionable. The company builds an intelligence layer to help marketers understand customers and personalize interactions.