Related skills
data science ai cross-functional experimentation segmentationπ Description
- Build global automated journeys for the digital segment (segmentation, triggers)
- Design and run AI-powered engagement experiments (guardrails, metrics, pivots)
- Architect attribution layer for Digital CS with Data Science to measure impact
- Partner with Product, RevOps, Data Science, Enablement, and Marketing for scalable tooling
- Own program reporting and cadence; surface insights and data-driven investments
π― Requirements
- 5-7+ years in Digital CS/CS Ops with scaled programs
- Systems-level thinking: define requirements and metrics
- AI-powered engagement: chatbots and in-product AI experiences
- Cross-functional influence with Data Science and Engineering
- Strong communication; present business cases and write tight requirements docs
- Bias toward building new programs, not just optimizing
π Benefits
- Competitive compensation and equity
- Comprehensive benefits package
- Global team with anchor-day in-office rhythm
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