Senior CRM MarTech Associate/ CRM MarTech Manager

Crypto.com

Lead the MarTech function for predictions, owning the roadmap for tools such as CDP, engagement platform, analytics, experimentation, and data pipelines.

Configure and manage CDP connections (e.g. data warehouse, analytics, ad platforms, engagement tools), ensuring high data quality and reliability.

Analyse customer behaviour and transaction data to identify key segments, triggers, and opportunities for personalisation and upsell.

Create retention dashboards and opportunities discovery with LLMs and MCP extensions that elevate the analytics capabilities of the team.

Build and maintain audience definitions and segments in the CDP for acquisition, retention, and experimentation use cases.

Define tracking plans and event taxonomies that capture critical customer behaviours across products and platforms

Partner with Data to define metrics and dashboards that measure the impact of CRM initiatives.

Write API requirements and payload specifications for MarTech integrations.

Use templating/ scripting to enable dynamic content and complex personalisation logic in CRM campaigns.

Maintain up to date documentation (PRDs, specs, tracking plans, data flows) for all CRM initiatives.

Collaborate with Growth, Product, and Engineering stakeholders to define lifecycle strategies that enhance customer experience, activation, and retention across prediction markets.

Translate commercial objectives into clear lifecycle goals, test plans, and KPIs.

4-7 years of hands-on experience managing Customer Data Platforms (CDP) and CRM tools in a high growth environment.

Comfortable with a modern AI stack and orchestrate a working team of AI agents and sub-agents to complement the workflows.

Proven track record of driving measurable improvements in retention, engagement, and LTV with advanced technologies

Experience working with growth and product teams on experimentation, funnel optimisation, and lifecycle programs in a seasonal sporting environment

Strong SQL skills, with the ability to query large and complex datasets, build audience definitions, and self serve analysis.

Strong understanding of sporting events, sportsbook or/ and options-trading.