We are seeking an experienced EMEA Growth Marketing Manager to scale user acquisition, engagement, and revenue through data-driven marketing strategies. This role will own end-to-end paid social and digital campaign performance — optimising for ROAS, ROI, and overall marketing impact — using AI as the primary toolkit to move faster, test smarter, and deliver outsized results. The ideal candidate is a experienced growth marketer who already uses AI fluently in their day-to-day work — from analysis and experimentation to creative prototyping and workflow automation — and sees AI as the multiplier that unlocks step-change performance gains.

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

Minimum Qualifications

• 8+ years of experience in growth marketing, performance marketing, or digital marketing with a focus on user acquisition or engagement
• 8+ years of experience designing and analyzing marketing experiments, including A/B testing and incrementality measurement, to drive data-informed decisions
• Experience using quantitative analysis and marketing data (e.g., campaign metrics, cohort analysis, funnel reporting) to inform decisions and optimize campaigns
• Demonstrated AI fluency — already using AI tools in day-to-day marketing work (analysis, experimentation, content, automation) to deliver faster and better outcomes
• Experience in developing and executing marketing strategies across multiple markets within the EMEA region
• Experience using marketing analytics and attribution platforms to measure campaign performance and optimize towards growth KPIs
• Experience collaborating with cross-functional teams, including product, data science, and operations, to deliver integrated growth programs

Preferred Qualifications

• 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
• Leadership experience in managing complex marketing projects with multiple concurrent campaigns or initiatives
• Track record of scaling AI adoption and sharing best practices across a team or an organisation
• Experience managing stakeholder relationships and presenting marketing strategies, performance results, and recommendations to cross-functional teams
• 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)
• Experience with A/B testing, experimentation, and marketing analytics platforms
• Proven time management and prioritization ability within a high-velocity, dynamic environment
• Experience in B2B or B2C marketing within technology, retail, or digital advertising industries