Responsibilities

• Own the global performance marketing strategy, defining channel mix, audience frameworks, and investment models.
• Set quarterly and annual growth objectives across paid search, paid social, display, and emerging performance channels.
• Lead budget planning, pacing, and forecasting in alignment with Finance and Revenue goals.
• Develop and implement scalable testing frameworks for creative, targeting, and messaging across markets.
• Partner with Regional Marketing Directors (APAC, EMEA, ANZ, Americas) to ensure localized execution that aligns with global priorities.
• Serve as the executive-level owner of performance KPIs — CAC, LTV:CAC, pipeline contribution, and ROI.
• Oversee multi-channel execution and optimization across Google, LinkedIn, Meta, YouTube, and programmatic platforms.
• Define best practices for campaign structure, bidding strategies, automation, and measurement.
• Partner with SEO, Web, and Lifecycle teams to build seamless cross-channel journeys that maximize funnel efficiency.
• Drive alignment between creative and performance teams to ensure messaging relevance and ad-to-landing page continuity.

Requirements

• 10+ years of experience in Performance Marketing or Growth, with a strong record of driving measurable business impact.
• Deep understanding of paid media ecosystems, marketing automation, and analytics infrastructure.
• Proven ability to manage multi-million-dollar global media budgets efficiently.
• Strong analytical skills — comfortable with data modeling, forecasting, and investment decision-making.
• Exceptional leadership, communication, and stakeholder management skills across functions and geographies.
• Bachelor’s or Master’s degree in Statistics, Business Analytics, Computer Science, Data Analytics, or a related field.

Preferred

• Experience leading multi-region or global marketing teams (APAC, EMEA, ANZ, Americas).
• Familiarity with AI-driven creative and media automation frameworks.
• Strong understanding of pipeline contribution measurement and B2B demand-gen attribution.
• Experience working cross-functionally with Finance, RevOps, and Data Science teams.