About this role

Own and evolve TrafiPersonalization Engine combining ML models, Generative AI, and rules-based logic.
Deploy ML and Generative AI use cases, design personalized prompts and smart product bundles.
Define behavioral inputs, decision logic, and fallback strategies.
Translate business needs into rules logic, APIs, event triggers, and scalable data schemas.
Partner with Growth teams for high-ROI personalization initiatives, defining experimentation scope and KPI tracking.
Act as orchestrator across Engineering, Data Science, CRM, UX, and Analytics, driving rollout plans and documentation.

5+ years in Product Management, ideally in personalization, MarTech, or growth tech stacks
Experience working with AI-Gen models, ML systems, recommendation engines, or personalization platforms
Strong understanding of CDPs (Segment, mParticle), behavioral data modeling, and decisioning logic.
Experience defining experimentation frameworks and tracking business impact.
Systems thinker who can design architecture and execute at feature level.
Strong documentation and async communication skills.
Experience in multi-brand, fast-paced eCommerce or SaaS environments.
Nice to have: Hands-on familiarity with Segment, Klaviyo, Shopify APIs, Contentful, GA4, Amplitude, or Mixpanel.

Product Manager – AI Personalization

Key skills