Paper operates a business payment platform focused on credit-card-based B2B transactions and invoice financing in Southeast Asia. The tech stack reveals a dual operational focus: a backend built on PostgreSQL, Go, and Node.js for transaction processing, paired with early-stage ML infrastructure (scikit-learn, TensorFlow, PyTorch, OpenAI, Gemini, Claude) suggesting internal experimentation around credit decisioning or fraud detection. Hiring is tilted toward engineering (4 roles) with balanced mid and senior engineering talent, but active project backlog signals a marketing-execution gap—campaigns and channel optimization dominate roadmap items while core product pain points (lead generation, budget allocation, streamlining financial processes) remain unresolved.
Paper is a B2B payment platform based in Jakarta serving Indonesian and cross-border businesses with credit-card-enabled invoicing and working capital solutions. The platform targets SMEs and enterprises looking to reduce payment friction and improve cash flow predictability. Founded in 2016, the company operates across payment processing, underwriting, and customer acquisition channels. Current focus areas include Google Ads and Meta campaign optimization, activation workflows, and SEO strategy—indicating a sales-led growth phase with heavy reliance on digital channels.
MySQL, PostgreSQL, Go, Node.js, Python on AWS/GCP/Azure. ML libraries (TensorFlow, PyTorch, scikit-learn) and LLM integrations (OpenAI, Gemini, Claude) for internal tools. Frontend and deployment via Jenkins, GitHub Actions, NGINX.
Credit-card-based B2B transactions. Platform specializes in online invoicing and digital payment workflows for SMEs and enterprises to reduce late payments and improve cash flow.
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