Senior Product Manager - User and Lifecycle Analytics
Tasks
- Analyze product data
- Communicate product choices to stakeholders
- Communicate tradeoffs
- Compare and reuse audiences
- Conduct customer discovery
- Create product roadmap
- Define and manage user segments
- Define and track product KPIs
- Define product strategy
- Develop segmentation and filtering features
- Evaluate data readiness for AI
- Explore lifecycle stages
- Gather qualitative feedback
- Identify conversion drivers
- Identify engagement drivers
- Identify retention drivers
- Implement engagement scoring
- Iterate after product launch based on feedback
- Measure data quality and semantics
- Partner with engineering and design
- Perform cohort analysis
- Perform retention analysis
- Prioritize customer problems
- Set success measures
- Track adoption and usefulness
- Track performance and customer value
- Validate predictive insights usability
Perks/Benefits
- Career development
- Employee events
- Employee resource groups
- Hackathon participation
- Hybrid work
- Lifestyle Allowance
- Mentorship
- Paid time off
- Remote work
- Stock options
- Virtual onboarding
Skills/Tech-stack
API Integration | B2B Software | Churn Prediction | Cohort Analysis | Conversion Rate | Conversion rate optimization | Customer Data | Customer discovery | Data Quality | Data Semantics | Engagement Analytics | Engagement Scoring | Experimentation | Funnel Analysis | Identity Management | Lifecycle analytics | Machine Learning | Marketing Automation | Marketing Technology | Performance Engineering | Predictive Analytics | Product Analytics | Product Management | Product Strategy | Rate optimization | Recommendation Systems | Retention analysis | Roadmap | Segmentation | Success metrics | User Research
Education
N/A
Roles
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