Direct-to-consumer skincare brand scaling across Asia through retail and digital channels
SKINTIFIC is a skincare brand built on formulation science, now in rapid hiring mode with 21 roles posted in the last 30 days—almost all in marketing (9) and sales (8). The tech stack reveals a company heavily invested in performance marketing and content creation (Instagram Ads, Adobe Creative Cloud, CapCut, Premiere Pro) paired with basic analytics infrastructure (Power BI, Tableau, Looker Studio). The project list—mall activations, retail SOP development, TikTok/Instagram campaigns, channel-specific growth strategies—shows a retail-first distribution model supported by digital demand generation.
SKINTIFIC formulates and sells skincare products positioned on dermatological research and barrier-science claims. The company operates across retail (mall-in-mall activations, in-store promotions) and digital (e-commerce on Shopee, social-media advertising) channels, with geographic presence in Indonesia, Mexico, and the Philippines. Founded in 2022, the company has grown to 501–1,000 employees and operates from Jakarta. Current operational priorities are expanding retail footprint, optimizing store-level sales performance, and scaling paid-social demand generation—evident from the concentration of active hiring in marketing and sales, and active projects focused on retail launches, category growth, and channel-specific strategies.
Marketing and analytics: Instagram Ads, Power BI, Tableau, Looker Studio. Design and content creation: Adobe Creative Cloud (Photoshop, Illustrator, After Effects, Premiere Pro), SketchUp, Blender, 3ds Max, CapCut. E-commerce: Shopee. Other: SAP for operations, Python and Apache Airflow for data workflows.
Indonesia, Mexico, and the Philippines. Headquarters is in Jakarta.
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SKINTIFIC's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
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