Responsibilities

• Develop and execute full-funnel marketing campaigns across paid social, search, and other digital channels to drive acquisition, retention, and brand awareness at scale
• Analyse campaign performance data to identify growth opportunities and optimize marketing spend for maximum efficiency, using AI to accelerate insight generation and surface opportunities faster
• Explore and experiment with new growth tactics and channels with an eye on CAC, LTV, and scalability — leveraging AI to rapidly prototype, stress-test, and validate new approaches
• Monitor daily campaign operations and performance metrics, providing actionable recommendations for real-time optimisation and anomaly detection
• Manage budgets and forecast marketing performance to meet or exceed growth targets, actively adjusting channel allocation and spend based on in-flight data and business priorities
• Collaborate cross-functionally with product marketing, martech, research, and creative teams to align strategies with business goals
• Partner with analytics and data science teams to develop measurement frameworks and attribution models
• Use AI as the default toolkit for day-to-day work — from analysis and experimentation to creative prototyping and workflow automation — while ensuring responsible, policy-compliant use
• Demonstrate measurable impact from AI-augmented ways of working (e.g., time savings, efficiency gains, faster iteration) and share learnings to scale adoption across the team
• Stay current with industry trends, tools, and emerging AI capabilities to continuously improve marketing effectiveness

Requirements

• Experience collaborating with cross-functional teams, including product, data science, and operations, to deliver integrated growth programs

Preferred

• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Knowledge of regional EMEA markets and digital advertising landscapes
• Track record of scaling AI adoption and sharing best practices across a team or an organisation
• Comfort operating beyond traditional role boundaries — prototyping, building analysis frameworks, drafting strategy — particularly in ambiguous or fast-moving situations
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Proven time management and prioritization ability within a high-velocity, dynamic environment