Senior Product Manager - User and Lifecycle Analytics
Tasks
- Analyze user behavior using segmentation cohorts conversion and retention
- Collaborate with engineering and product design from problem definition to launch
- Communicate product decisions to executives and partners
- Conduct customer discovery and use customer feedback
- Create product roadmap and success measures
- Define product KPIs and track adoption usefulness quality and performance
- Define product strategy for user segmentation and lifecycle analytics
- Develop user level retention analysis
- Enable cohort and user drilldown without rebuilding audiences
- Explore lifecycle classification engagement scoring and predictive insights
- Improve segment definition management comparison and reuse
- Partner with data and applied AI teams on predictive feasibility and accuracy
- Prioritize customer problems and make build tradeoffs
- Use product feedback to adjust priorities after launch
- Validate customer understanding of predictive insights
Perks/Benefits
- Career development opportunities
- Employee resource groups
- Hackathon
- Hybrid work
- Lifestyle Allowance
- Mentorship
- Paid time off
- Philanthropic activities
- Remote work
- Social events
- Stock options
- Team-building activities
- Virtual onboarding
Skills/Tech-stack
API Integration | Audience Segmentation | B2B Software | Churn Prediction | Cohort Analysis | Conversion Rate | Conversion rate optimization | Customer Data | Customer discovery | Data Quality | Data Semantics | Engagement Scoring | Experimentation | Funnels | Identity Management | Lifecycle analytics | Machine Learning | Performance optimization | Predictive Analytics | Product Analytics | Product Management | Product Roadmap | Product Strategy | Rate optimization | Retention analysis | Segmentation
Education
N/A
Roles
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