Associate Product Manager
Phoenix, AZ, US • Posted 6 hours ago • Updated 30 minutes agoFull Time
Part Time
On-site
Fitment
Dice Job Match Score™
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Job Details
Skills
- Artificial Intelligence
- Leadership
- Collaboration
- Analytics
- Presentations
- Business Acumen
- Durable Skills
- Machine Learning (ML)
- A/B Testing
- Multivariate Testing
- KPI
- Roadmaps
- Business Cases
- Google Tag Manager (GTM)
- Engineering Design
- Data Science
- Marketing
- Sales
- Customer Experience
- User Research
- Product Management
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 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 (AB testing| multivariate testing) to optimize engagement| retention| and conversion.Define KPIs for personalization effectiveness (CTR| LTV| churn| engagement lift| etc.).2. Product Storytelling VisionCraft compelling product narratives for internal stakeholders| sales teams| and executives.Translate technical capabilities (AIML 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 LeadershipCollaborate 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 InsightsConduct 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.
Essential Skills: 1. Personalization StrategyDefine 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 (AB testing| multivariate testing) to optimize engagement| retention| and conversion.Define KPIs for personalization effectiveness (CTR| LTV| churn| engagement lift| etc.).2. Product Storytelling VisionCraft compelling product narratives for internal stakeholders| sales teams| and executives.Translate technical capabilities (AIML 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 LeadershipCollaborate 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 InsightsConduct 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.
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 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 (AB testing| multivariate testing) to optimize engagement| retention| and conversion.Define KPIs for personalization effectiveness (CTR| LTV| churn| engagement lift| etc.).2. Product Storytelling VisionCraft compelling product narratives for internal stakeholders| sales teams| and executives.Translate technical capabilities (AIML 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 LeadershipCollaborate 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 InsightsConduct 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.
Essential Skills: 1. Personalization StrategyDefine 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 (AB testing| multivariate testing) to optimize engagement| retention| and conversion.Define KPIs for personalization effectiveness (CTR| LTV| churn| engagement lift| etc.).2. Product Storytelling VisionCraft compelling product narratives for internal stakeholders| sales teams| and executives.Translate technical capabilities (AIML 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 LeadershipCollaborate 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 InsightsConduct 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.
Desirable Skills:
Keyword:
Skills: Product Management
Experience Required:
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 91018020
- Position Id: PDT - 10498-11633-1772036082
- Posted 6 hours ago
Company Info
About Purple Drive Technologies LLC
Founded in 2007, Purple Drive started as a tech solutions firm and has grown into a full-service consulting and talent partner. We help businesses navigate complex technology challenges while connecting top professionals with career-defining opportunities.
We believe in transforming businesses through smart IT solutions and empowering technologists to grow their expertise through challenging projects and meaningful partnerships. Built on over 20 years of trusted relationships, we create success stories for both our clients and the talented professionals who drive innovation forward.
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