About the role
We’re looking for a Lead who will own the design, build, and scaling of a production-level AI-driven CRM system for player retention. The role sits in the Revenue department and reports directly to the CRO.
This is not a classic CRM or campaign execution position. You’ll define the architecture, connect data, models, and tools into one working system, and move the CRM team from manual campaign building to AI-supervised personalization.
The main outcome
Not the number of campaigns sent. The KPI is how much of the CRM process we can automate while increasing the effectiveness of personalization.
The CRM Manager’s role will shift from building campaigns manually to acting as an AI CRM Supervisor: reviewing recommendations, approving campaigns, and owning GEO results.
What you’ll do
Month 1: Audit the current CRM setup, Customer.io usage, data flows, segmentation, churn models, and integrations. Deliver the target architecture.
Months 2–3: Launch an MVP flow: Player Data → Churn Prediction → AI Analysis → Offer Recommendation → Customer.io Campaign → Human Approval.
Months 3–4: Automate segmentation, timing, offer selection, campaign creation, and basic analytics.
Months 4–6: Put an AI optimization loop into production (Campaign → Results → Analysis → Learning → New Recommendation) and prepare the foundation for VIP/PAM AI.
What we’re looking for
Proven experience building or owning production automation systems that connect data, models, and marketing tools, not only campaign execution
Hands-on experience with at least one major CRM/marketing automation platform: Customer.io (strongly preferred), Optimove, Braze, or Iterable
Practical experience with CDPs, 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
Senior/Lead level: you own the direction, from roadmap and implementation to documentation and scaling
Nice to have: background in iGaming, fintech, e-commerce, subscription, or marketplace with high-volume customer data
This is probably not a fit if you
Only create campaigns in Customer.io or similar tools
Only write prompts or use ChatGPT without system integration
Do pure dashboard/BI analysis without building automation
Are a pure Python developer without CRM and marketing automation context
Wait for a ready technical specification instead of proposing the system design
Hiring process: technical assignment
You’ll be asked to design an AI-driven CRM system for 1M players with an existing churn model and Customer.io: daily player analysis, reactivation targeting, best offer and timing selection, campaign creation, human approval, and a feedback loop. We evaluate architecture, data flow, agents, APIs, decision logic, monitoring, and scalability.
What we offer
🌍 Work from anywhere: fully remote
⏰ Flexible hours: balance your personal and professional life
🗣 Corporate English speaking club: regular practice with expert guidance
🤝 A culture that cares: a friendly environment with a strong corporate culture
🚀 Growth: real career advancement in a rapidly expanding marketing company
