Performance Marketer (Meta Ads, Google Ads, Email/SMS)

This Performance Marketing Manager role in Singapore is responsible for delivering high-quality Paid Search and Paid Social campaigns that outperform KPIs, to budget and on-time. The role involves following best practices, QA processes, delivering insightful reporting, and developing ideas for process improvements and automation. Candidates should have 12-24 months of experience with Google Ads and Meta Ads, strong data analysis skills, and client management abilities.

This role drives performance marketing campaigns to generate leads and grow the publisher base for MonetizeMore. The marketer will optimize paid media channels and conversion funnels to maximize ROI, requiring expertise in digital advertising and analytics.

Manages and optimizes Google Ads and Meta Ads campaigns for eCommerce brands, analyzing performance and presenting recommendations. Works directly with customers through calls and conducts audits for potential Enterprise customers, using the Lebesgue platform for competitor and benchmark analysis.

This Digital Performance Marketeer role creates and optimizes cross-channel media campaigns for clients, using data analysis to identify improvements and drive results. The position involves working with partners like Google, Meta, and DPG Media, and requires strong analytical skills to translate data into actionable insights. Requires 3+ years of digital advertising experience and fluency in Dutch.

This role drives customer success and growth initiatives from the founder's office, involving strategic account management, retention, and expansion. It requires a blend of customer-facing skills and growth-oriented strategies to maximize client value and revenue.

This role develops AI and machine learning models for predictive marketing, focusing on personalization and attribution. It requires expertise in ML algorithms, data science, and model deployment to enhance marketing performance.

This role focuses on full-stack development with an emphasis on UI/UX for analytics applications. It involves building user-friendly interfaces and integrating them with backend systems to deliver next-gen analytics tools.