About this role
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