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Chief Marketing Officer (AI-Native / MarTech)

Job Description - Chief Marketing Officer (AI-Native / MarTech)

About the Role


The CMO is responsible for building and managing a growth system based on data, AI, and user intent, driving customer acquisition, engagement, and retention through the product itself rather than solely through external channels. This role transforms marketing from a communication function into a decision layer that understands user behavior and context, identifies intent and life events, and initiates relevant actions within the product and across channels — establishing brand trust and building an AI-native customer journey.


Reporting to: CEO / Founder

Collaborates with: CTO, CPO, Head of AI, CISO, Risk, Legal, Finance


Key Responsibilities




  • Growth & Decision Layer: build an intent detection and decisioning system based on user data; integrate marketing directly into the product (product-led growth); develop "one intent → one action" logic; create AI-driven interaction scenarios




  • Data & MarTech Architecture: build a first-party data strategy; develop CDP / data layer / event tracking; work with data clean rooms and partner data; ensure data quality and structure for decisioning




  • Customer Lifecycle & Personalization: design the end-to-end customer journey; personalize based on behavior, context, and financial status; identify life events, triggers, and growth opportunities




  • Go-to-Market & Growth Execution: develop GTM strategies for new products and markets; manage acquisition channels; build systems for retention and LTV growth (focus on LTV/engagement over CAC)




  • Brand & Trust: shape positioning as an AI-native financial assistant and trusted decision layer; control all communications for brand consistency




  • Compliance & Data Governance: ensure compliance with GDPR/privacy, data protection, and advertising standards; manage consent management; coordinate with CISO/Risk/Legal




  • Analytics & Intelligence: build metrics for intent detection accuracy, conversion by context, LTV/retention, and value delivered; implement AI-analytics for decision-making




  • Team & Cross-functionality: lead Growth, Data, Marketing, and CRM/Lifecycle teams; work closely with Product, Tech, AI, Risk, and Compliance




Areas of Responsibility




  • Growth




  • Data




  • Customer Experience




  • Decision Layer (in collaboration with Product and AI)



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