Associate Product Manager
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Job Location:
Phoenix, NM - USA
Monthly Salary:
Not Disclosed
Posted on:
4 hours ago
Vacancies:
1 Vacancy
Job Summary
Product Manager
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.
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.
Role Descriptions: 1. Personalization StrategyDefine and execute product roadmap for personalization customer segmentation and targeting strategies using behavioral transactional and contextual with Data Science to implement ML-driven recommendations and adaptive experimentation (AB testing multivariate testing) to optimize engagement retention and KPIs for personalization effectiveness (CTR LTV churn engagement lift etc.).2. Product Storytelling VisionCraft compelling product narratives for internal stakeholders sales teams and technical capabilities (AIML models recommendation engines) into business value clear outcome-driven product briefs and roadmap and business cases with strong executive GTM with differentiated positioning around personalized experiences.3. Cross-Functional LeadershipCollaborate with Engineering Design Data Science Marketing and alignment between technical implementation and customer experience features balancing business value feasibility and user without authority in matrixed environments.4. Customer Data InsightsConduct user research and analyze usage data to identify personalization customer journey maps and define trigger-based qualitative and quantitative insights to refine product direction.
Essential Skills: 1. Personalization StrategyDefine and execute product roadmap for personalization customer segmentation and targeting strategies using behavioral transactional and contextual with Data Science to implement ML-driven recommendations and adaptive experimentation (AB testing multivariate testing) to optimize engagement retention and KPIs for personalization effectiveness (CTR LTV churn engagement lift etc.).2. Product Storytelling VisionCraft compelling product narratives for internal stakeholders sales teams and technical capabilities (AIML models recommendation engines) into business value clear outcome-driven product briefs and roadmap and business cases with strong executive GTM with differentiated positioning around personalized experiences.3. Cross-Functional LeadershipCollaborate with Engineering Design Data Science Marketing and alignment between technical implementation and customer experience features balancing business value feasibility and user without authority in matrixed environments.4. Customer Data InsightsConduct user research and analyze usage data to identify personalization customer journey maps and define trigger-based qualitative and quantitative insights to refine product direction.
Desirable Skills:
Keyword:
Skills: Product Management
Experience Required:
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.
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.
Role Descriptions: 1. Personalization StrategyDefine and execute product roadmap for personalization customer segmentation and targeting strategies using behavioral transactional and contextual with Data Science to implement ML-driven recommendations and adaptive experimentation (AB testing multivariate testing) to optimize engagement retention and KPIs for personalization effectiveness (CTR LTV churn engagement lift etc.).2. Product Storytelling VisionCraft compelling product narratives for internal stakeholders sales teams and technical capabilities (AIML models recommendation engines) into business value clear outcome-driven product briefs and roadmap and business cases with strong executive GTM with differentiated positioning around personalized experiences.3. Cross-Functional LeadershipCollaborate with Engineering Design Data Science Marketing and alignment between technical implementation and customer experience features balancing business value feasibility and user without authority in matrixed environments.4. Customer Data InsightsConduct user research and analyze usage data to identify personalization customer journey maps and define trigger-based qualitative and quantitative insights to refine product direction.
Essential Skills: 1. Personalization StrategyDefine and execute product roadmap for personalization customer segmentation and targeting strategies using behavioral transactional and contextual with Data Science to implement ML-driven recommendations and adaptive experimentation (AB testing multivariate testing) to optimize engagement retention and KPIs for personalization effectiveness (CTR LTV churn engagement lift etc.).2. Product Storytelling VisionCraft compelling product narratives for internal stakeholders sales teams and technical capabilities (AIML models recommendation engines) into business value clear outcome-driven product briefs and roadmap and business cases with strong executive GTM with differentiated positioning around personalized experiences.3. Cross-Functional LeadershipCollaborate with Engineering Design Data Science Marketing and alignment between technical implementation and customer experience features balancing business value feasibility and user without authority in matrixed environments.4. Customer Data InsightsConduct user research and analyze usage data to identify personalization customer journey maps and define trigger-based qualitative and quantitative insights to refine product direction.
Desirable Skills:
Keyword:
Skills: Product Management
Experience Required:
Key Skills
- Marketing
- Quality Assurance
- Agile
- Product Demos
- Analysis Skills
- Jira
- Project Management
- Product Management
- Qualitative Analysis
- Confluence
- Internet Of Things
- Product Development
