Manager, Growth Strategy & Operations (Singapore-based)

About the role

The Growth & Revenue Systems in Strategy & Operations team is looking for a Growth Manager to drive experimentation and innovation across marketing, sales, and product to accelerate growth. Reporting to the Head of Growth, you will own the narrative of how we grow, transforming deep analytics into high-conviction decisions, building intelligence models, and spotlighting the biggest levers across our funnel.

Responsibilities

• Own the growth metrics and weekly business reviews - track KPIs, spotlight drivers, and run the weekly update with the Head of Growth.
• Evolve our Customer 360 with Data Science - expand and enrich data features to sharpen our understanding of customers.
• Build customer intelligence models with Data Science - e.g., GP prediction, reward intent - that inform prioritization and go-to-market.
• Lead customer segmentation and ICP models with Data Science.
• Translate deep-dive analytics into growth plays - funnel, cohorts, retention, LTV/CAC, with clear recommendations and measurable outcomes.

Who You Are

• 5+ years in high-growth businesses working in growth acceleration, go-to-market (GTM), sales operations, or business development.
• Exposure to revenue/sales operations in a B2B environment.
• Strong quantitative and analytical skills, with proficiency in Excel and data visualization tools (e.g., Tableau, Power BI); knowledge of SQL is a plus.
• Experience with CRM systems and a deep understanding of growth funnel, customer journey and sales process.
• Excellent communication skills, with the ability to present insights and recommendations to senior executives and cross-functional teams.
• Bachelor’s degree.

Preferred Qualifications

• Previous experience in a top-tier management consulting firm, fintech, startups, or a dedicated growth function.
• Demonstrated experience running experiments and taking hypothesis-driven approaches to improve revenue or GTM efficiency.
• Familiarity with advanced analytics, financial modeling, and campaign performance monitoring.
• Experience partnering with data science teams on analytics or machine learning–related workstreams.
• Able to thrive in ambiguity, adapt quickly, and take initiative in a dynamic environment.