Product Manager With Personalization--Phoenix, AZ--Full Time

Title: Product Manager With Personalization

Location: Phoenix, AZ

Duration: Full Time

Job 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.

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