Key Responsibilities
Email Operations & Lifecycle Management
Own daily email campaign operations: build, QA, deploy, and report across lifecycle, promotional, transactional, and triggered programs, with defined SLAs
Design and maintain email template architecture including content blocks, dynamic content modules, and personalisation frameworks — built for speed and scalability
Write and maintain technical coding (Liquid, HTML/CSS, AMPscript) to enable complex personalisation logic and dynamic rendering
Own send frequency governance, suppression logic, fatigue management, and audience conflict resolution across stakeholders
Manage deliverability: sender reputation, authentication (SPF/DKIM/DMARC), inbox placement, and ISP monitoring
Support GTM launches for new products and features — translating product briefs into campaign execution at pace
MarTech Strategy & Platform Management
Lead the MarTech function for the CRM team, owning the roadmap for CDP, engagement platform, analytics, experimentation, and data pipelines
Configure and manage CDP connections (data warehouse, analytics, ad platforms, engagement tools), ensuring high data quality and reliability
Define tracking plans and event taxonomies that capture critical customer behaviours across products and platforms
Write API requirements and payload specifications for MarTech integrations
Build and maintain audience definitions and segments in the CDP for acquisition, retention, and experimentation use cases
Evaluate emerging MarTech capabilities and provide recommendations for future technology investments
Develop reporting frameworks that demonstrate business value generated through MarTech and email investments
Stakeholder & Process Management
Support and advise key stakeholders across CRM, Product, Marketing, Strategy, and Research — proactively pushing back with data when requests won't deliver results
Maintain up-to-date documentation (PRDs, specs, tracking plans, data flows, runbooks) for all CRM & MarTech initiatives
Define and enforce campaign operations standards: naming conventions, template governance, approval flows, campaign taxonomy
Manage the campaign calendar, resolve stakeholder conflicts, and enforce production SLAs
Ensure tracking systems are properly scoped, briefed, and tracked — you hold stakeholders accountable for complete briefs before work begins
AI & Productivity Innovation
Actively leverage AI tools across the workflow: content generation, code assistance, QA checks, data analysis, and reporting
Own the AI productivity roadmap for email & MarTech ops — identify, test, and implement tools that accelerate campaign production
Build and document AI-assisted workflows so productivity gains are repeatable and scalable, not personal shortcuts
Support AI-driven marketing initiatives including predictive segmentation, next-best-action modelling, and personalisation at scale
Requirements
Must-have:
5+ years of hands-on experience in email marketing operations and/or MarTech management in a high-growth or high-volume environment
Expert-level proficiency in CRM/ Email Platform and CDP e.g.: Braze, Optimove, Sendgrid, Segment CDP, or similar
Strong technical coding skills: Liquid, HTML, CSS for email template development and dynamic content logic
Strong SQL skills with the ability to query complex datasets, build audience definitions, and self-serve analysis
Proven ability to leverage AI tools to accelerate production and problem-solving — this is a must
Demonstrated experience with performance tracking, A/B testing, and data-driven optimisation of email programs
Exceptional organisational skills — systematic approach to documentation, process design, and project management
Excellent stakeholder management and communication skills — able to manage competing priorities across multiple teams
Fluent English (written and verbal) is a must
Solid understanding of email compliance regulations (GDPR, CAN-SPAM, CASL, PECR) including opt-in/opt-out management, consent frameworks, preference centres, and regional privacy requirements
Nice-to-have:
Familiarity with machine learning concepts as applied to marketing: propensity models, predictive segmentation, customer LTV modelling
Experience with API integrations and writing technical specifications for engineering teams
Experience supporting cross-channel journey orchestration (push, in-app, SMS alongside email)
Background in Sports, prediction markets, fintech, crypto, trading
Experience with experimentation, funnel optimisation, and lifecycle programs tied to commercial KPIs
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