Senior CRM MarTech Associate/ CRM MarTech Manager

Overview

Responsibilities

• 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.

Requirements

• 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.
• We may use artificial intelligence tools to analyze the content of your Resume/CV against the specific requirements for the position.
• The purpose is to support our recruitment team in reviewing applications more effectively.
• These tools assist our recruitment team in their evaluation of your application by providing recommendations, but they do not replace human judgment.
• Final hiring decisions are ultimately made by humans who consider the insights generated by the tools along with other relevant information.
• If you would like more details about how your personal information is processed, please contact us.