Responsibilities

• Lead, manage and grow a team of growth marketers, including mentoring, recruiting, training and onboarding
• Lead channel strategy across multiple large audience or product areas, and drive alignment across organizations
• Design channel strategies and campaigns that deliver short term and long term growth
• Prioritize across initiatives and stakeholders so the team delivers the most impact
• Decide with data, and run global programs that adapt to each market
• Use audience and product usage data, plus experiments, to set the channel growth strategy
• Use AI and advanced analytics to accelerate business impact
• Build working relationships with leaders across Product, Engineering, Sales, Marketing Operations, Data Science and Finance, and with media buying agencies and vendors
• Foster a team environment that prioritizes impact, transparency, and continuous improvement
• Communicate up, down and sideways across the organization

Requirements

• Bachelor's degree in a directly related field, or equivalent practical experience
• 12+ years of experience in marketing, with a track record of increasing responsibility, including managing high-performing and growing teams
• 5 years of experience in building and leading teams
• Deep experience in marketing channels- including web, paid, owned or non-digital
• Demonstrated experience in achieving marketing results against organizational objectives at a global scale
• Analytical experience and experience working with analytics/data science team on defining KPIs, experimental design and cross-channel measurement
• Proven leadership experience, including influencing and communicating direction across cross-functional teams
• Experience working with AI tools

Preferred

• Experience across a wide range of channels - owned, paid, and non digital
• Experience designing executive-level dashboards that communicate complex insights to diverse audiences
• Experience working with a global team, including direct reports working remotely
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)