AI CRM and Retention Automation Lead
- Рівень:
- lead
- Джерело:
- djinni.co
Що робити
- Month 1: Audit current CRM setup, Customer.io usage, data flows, segmentation, churn models, and integrations. Deliver a target architecture.
- Month 2–3: Launch an MVP flow: Player Data → Churn prediction → AI analysis → Offer recommendation → Customer.io campaign → Human approval.
- Month 3–4: Automate segmentation, timing, offer selection, campaign creation, and basic analytics.
- Month 4–6: Put an AI optimization loop into production (Campaign → Results → Analysis → Learning → New recommendation) and prepare the foundation for VIP/PAM AI.
- Main outcome of the role
Що очікуємо
- Proven experience building or owning production automation systems that connect data, models, and marketing tools (not only campaign execution).
- Hands-on work with at least one major CRM/marketing automation platform (Customer.io strongly preferred; Optimove, Braze, or Iterable are relevant).
- Practical experience with customer data platforms, data warehouses (BigQuery or Snowflake), and orchestration tools (dbt, Airflow, n8n, Make, or similar).
- Ability to design and implement AI-driven flows: churn/LTV/next-best-action models, recommendation logic, LangChain/LangGraph or direct LLM APIs (Claude, OpenAI).
- Strong systems thinking: you can describe architecture, data flow, agents, integrations, approval layer, and analytics loop, and then build it.
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