AI/ML Product Manager With Personalization--Phoenix, AZ--Full Time
Title: AI/ML Product Manager With PersonalizationLocation: Phoenix, AZDuration: Full TimeJob Description• 5–10+ years of Product Management experience.• Proven experience building personalization features (recommendation engines, dynamic content, segmentation, behavioral triggers).• Strong understanding of analytics, experimentation frameworks, and data interpretation.• Exceptional storytelling and executive presentation skills.• Experience working with Data Science and ML teams.• Strong business acumen and customer-centric mindset.Roles & Responsibilities• 1. Personalization Strategy• Define and execute product roadmap for personalization initiatives.• Design customer segmentation and targeting strategies using behavioral, transactional, and contextual data.• Partner with Data Science to implement ML-driven recommendations and adaptive experiences.• Drive experimentation (A/B testing, multivariate testing) to optimize engagement, retention, and conversion.• Define KPIs for personalization effectiveness (CTR, LTV, churn, engagement lift, etc.).• 2. Product Storytelling & Vision• Craft compelling product narratives for internal stakeholders, sales teams, and executives.• Translate technical capabilities (AI/ML models, recommendation engines) into business value stories.• Create clear, outcome-driven product briefs and PRDs.• Present roadmap and business cases with strong executive storytelling.• Support GTM with differentiated positioning around personalized experiences.• 3. Cross-Functional Leadership• Collaborate with Engineering, Design, Data Science, Marketing, and Sales.• Drive alignment between technical implementation and customer experience vision.• Prioritize features balancing business value, feasibility, and user impact.• Influence without authority in matrixed environments.• 4. Customer & Data Insights• Conduct user research and analyze usage data to identify personalization opportunities.• Build customer journey maps and define trigger-based experiences.• Leverage qualitative and quantitative insights to refine product direction.•< span style="white-space:pre">