CRM Manager (Growth)

FinAccel; Jakarta Pusat; On-site; IDR 250,000,000 - 520,000,000; Full time

Job summary

Kredivo is seeking a CRM Manager to own end-to-end lifecycle CRM and user journeys, focusing on increasing transacting and retention through segmentation and personalized targeting across push, in-app, email, and WhatsApp where relevant.

You will collaborate across Product, Marketing, and Data to design measurable, scalable campaigns, leveraging data-driven insights and creative experimentation in a fast-paced environment.

Qualifications

• 4+ years in CRM/Lifecycle/Retention roles in tech.
• Proven lifecycle campaigns with measurable business impact (conversion/transaction/retention).
• Creative + analytical blend with ability to evaluate performance (cohorts, uplift, incrementality).
• Ownership mindset with a proactive, execution-focused approach.
• Comfort with data; SQL is a plus or willingness to learn quickly.

Responsibilities

• Own CRM strategy & performance for user segments with clear targets on transacting rate and retention.
• Plan and execute CRM for product feature launches: audience strategy, targeting, messaging, channel orchestration, and post-launch optimization.
• Design lifecycle journeys: segmentation, triggers, personalization logic, messaging strategy, and channel mix.
• Analyze experiments to close the feedback loop and recommend improvements through data and insights.
• Stay close to local market reality: Indonesia-specific behavior, culture, and channel dynamics to craft resonant messaging.

Skills

CRM lifecycle management

Data analysis

SQL

Cross-functional collaboration

Excel/Google Sheets

Job description

The Growth team at Kredivo focuses on maximizing customer lifetime value by driving userengagement and retention. We’re looking for a CRM Manager to take end-to-end ownership of lifecycle CRM and user journey initiatives, including supporting product feature launches, with a focus on optimizing transacting rates through segmentation and personalized targeting. You’ll combine data-driven insights with creative experimentation to design, test, and scale personalized communications across channels (e.g., push, in-app, email, WhatsApp where relevant) that deepen engagement and encourage repeat behavior. This role sits at the intersection of Product, Marketing, and Data. You’ll collaborate cross-functionally to build CRM strategies that are customer-centric, measurable, and scalable.

About the Job :

• Own CRM strategy & performance for user segments (e.g., activation → first transaction, repeat transaction, churn recovery) with clear targets on transacting rate and retention
• Plan and execute CRM for product feature launches: audience strategy, targeting, messaging, channel orchestration, and post-launch optimization
• Design lifecycle journeys: segmentation, triggers, personalization logic, messaging strategy, and channel mix
• Have an analytical rigor to evaluate the performance of experiments to close the feedback loop and recommend improvements through data and insights
• Stay close to local market reality: leverage Indonesia-specific consumer behavior, cultural nuance, and channel dynamics to craft messaging that resonates

About You :

• At least 4 years of work experience in CRM / Lifecycle / Retention / Engagement roles within tech (fintech, e-commerce, marketplaces etc.)
• CRM is a must: proven track record owning lifecycle campaigns or always-on journeys with measurable business impact (conversion/transaction/retention lift)
• Creative + analytical blend: you can craft compelling customer messaging and evaluate performance with rigor (cohorts, uplift, incrementality)
• A personality very focused on getting things done with owner, not renter mindset
• Comfortable with data: Excel/Google Sheets required; SQL is a plus (or strong willingness to learn quickly).

The ideal candidate is a self-starter who will own CRM outcomes end-to-end combiningcustomer empathy and creative messaging with analytical rigor. You’re comfortable withambiguity, naturally curious, and thrive in a fast-paced environment where you iterate quickly,learn from data, and continuously optimize for lift.