FOOM Lab Global manufactures and distributes e-cigarettes in Indonesia, with a tech stack built around Python, Node.js, PostgreSQL, and GCP—coupled with modern BI tools (Looker, Metabase, Power BI) and workflow orchestration (Apache Airflow, dbt, Spark). The hiring mix skews heavily toward sales (10 open roles) and operations, with only 4 engineering roles, signaling a sales-and-logistics-driven growth phase rather than product iteration. Current focus spans SKU-level demand forecasting, distributor performance monitoring, and supply chain optimization—all pointing to execution challenges in expanding physical distribution.
FOOM Lab Global is a tech-enabled consumer electronics startup founded in 2019, headquartered in Jakarta, Indonesia. The company manufactures reduced-risk nicotine products positioned toward adult smokers transitioning from combustible tobacco. With 201–500 employees across Indonesia and a growing operations presence in Canada, FOOM Lab operates a direct-to-consumer and distributor-led sales model, managing both company-operated outlets and third-party distribution networks. The business is navigating rapid outlet expansion, SKU proliferation, and supply chain complexity—challenges reflected in active projects around store openings, demand forecasting, and distributor coverage optimization.
Backend: Node.js, Express, Python, PostgreSQL, MySQL. Frontend: Flutter, Dart, React, Vue, HTML/CSS. Data: Apache Airflow, dbt, Spark, Kafka, pandas. Cloud: GCP, AWS. BI: Looker, Metabase, Power BI. Design: Adobe Illustrator, AutoCAD, SolidWorks.
Jakarta Selatan, DKI Jakarta, Indonesia. Founded in 2019, the company operates retail outlets and distribution networks across Indonesia with growing operations in Canada.
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