Kredit Pintar is one of Indonesia’s leading digital lending platforms that is licensed, registered, and supervised by the Financial Services Authority (OJK). Kredit Pintar has over 10 million downloads and a 4.4-star rating on Google Play. Kredit Pintar is part of Atome Financial, a leading fintech company with extensive experience in consumer finance and promoting financial inclusivity through artificial intelligence technology.
We are committed to leveraging AI technology to improve life of Indonesia's underbanked communities by offering users fast, secure, and affordable loan options.
As part of the Advance Intelligence Group, a Series-D company and ranked among LinkedIn's Top 15 Startups in Singapore in 2022 (the third year in a row we've been on the list), with over 2,000+ staff worldwide, we are united by a shared vision and purpose: to advance with intelligence for a better life—for our customers, colleagues, and communities.
Our culture is built on values that are core to who we are and what we stand for:
- We foster an INNOVATION mindset
- We achieve results with EFFICIENCY and excellence
- We take pride in the QUALITY of our work
- We uphold INTEGRITY in all we do
- We embrace COLLABORATION to work across business lines and borders
We’re looking for a front-end & user-obsessed Product Manager with deep experience in cash-lending products someone who thinks in complete user journeys, collaborates fluently with engineering, and has built practical AI features into live products. You’ll balance delightful user experiences with rigorous risk, compliance, and backend reliability.
Job Descriptions
Product Strategy & Vision
- Own end-to-end product vision: design front-end experiences that build trust alongside robust backend state flows, decision engines, and integrations
- Identify market opportunities by triangulating user needs → technical feasibility → regulatory & risk boundaries
- Define and champion AI-enabled product directions from personalized onboarding to smarter credit decisioning with proven practical application, not just concept
- Align cross-functional teams (engineering, risk, operations, compliance) around shared, measurable product goals
Market & User Insights
- Conduct deep-dive research into customer behavior, competitor lending flows, and evolving financial regulations in Indonesia
- Translate insights into actionable improvements: simplify borrowing journeys, reduce drop‑off, and strengthen risk controls
- Surface unmet needs where AI or data‑driven personalization can create clear competitive advantage
Product Delivery & Ownership
- Write precise requirements capturing both front-end UX logic and backend system behavior: validations, state transitions, error handling, and decision workflows
- Lead product development end-to-end: from roadmap → PRD → design reviews → UAT → launch → post‑launch KPI tracking & iteration
- Partner closely with engineering teams: you speak their language, challenge trade‑offs, and champion front‑end excellence alongside system performance
- Integrate AI capabilities recommendation, eligibility, chat/assistance into real, production‑ready features
Job Requirements
Must‑Have Qualifications
- 3–5+ years Product Management experience, with direct experience in cash loans, consumer lending, or fintech
- Proven track record delivering 2–3 full product cycles from concept to scale
- Deep working knowledge of: lending product flows, credit assessment, risk management, and lending compliance
- Strong front‑end & UX intuition: you critique wireframes, understand conversion drivers, and advocate for accessible, intuitive interfaces
- Technically confident: you collaborate effectively with developers and architects on system design and feasibility
- Practical experience building or launching AI‑enabled products with shipped features, not just theoretical work
- Data‑driven: you define clear KPIs and make decisions backed by metrics
- Fluent in English
Preferred / Strong Plus
- Mandarin language proficiency
- Experience in Indonesian fintech / P2P lending regulatory environment
- Hands‑on exposure to AI/ML tools, personalization engines, or predictive modeling in production
- Bachelor’s degree in Business, Finance, Engineering, Computer Science, or related field