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Kredivo Group's Growth team is seeking a CRM Manager to own end-to-end lifecycle CRM and user journey initiatives. You will drive customer lifetime value by designing, testing, and scaling personalized communications across channels (push, in-app, email, WhatsApp) to maximize engagement and transacting rates.
Key responsibilities include:
- Owning CRM strategy and performance for user segments across the activation funnel (first transaction, repeat transaction, churn recovery) with clear targets on transacting rate and retention
- Planning and executing CRM campaigns for product feature launches, including audience strategy, targeting, messaging, channel orchestration, and post-launch optimization
- Designing lifecycle journeys with segmentation, triggers, personalization logic, and optimal channel mix
- Running rigorous A/B experimentation: hypothesis development, test design, execution, impact analysis, and iteration
- Evaluating experiment performance with analytical rigor to close feedback loops and recommend data-driven improvements
- Staying attuned to local market dynamics, Indonesia-specific consumer behavior, and cultural nuances to craft resonant messaging
You will sit at the intersection of Product, Marketing, and Data, collaborating cross-functionally to build customer-centric, measurable, and scalable CRM strategies.
Required qualifications:
- At least 4 years of experience in CRM, Lifecycle, Retention, or Engagement roles within tech (fintech, e-commerce, marketplaces)
- Proven track record owning lifecycle campaigns or always-on journeys with measurable business impact (conversion, transaction, retention lift)
- Blend of creative and analytical capabilities: ability to craft compelling customer messaging and rigorously evaluate performance using cohorts, uplift analysis, and incrementality testing
- Strong Excel/Google Sheets skills; SQL is a plus or strong willingness to learn quickly
- Owner mindset with focus on execution and results
- Comfort with ambiguity, natural curiosity, and ability to thrive in fast-paced environments with rapid iteration and continuous optimization
