Job marketplace aggregating opportunities across Brazilian industries
Candidata ai operates a jobs marketplace connecting candidates to openings across Brazil's manufacturing, logistics, hospitality, and services sectors. The platform itself is a distribution layer — partner companies manage postings, candidate communication, and hiring decisions. The tech stack reveals a services-operations business: heavy SAP (Commerce Cloud, S/4HANA modules), Salesforce/HubSpot for pipeline management, and advertising spend optimization (Meta, Google Ads). Current hiring velocity is accelerating across ops (426 open roles) and manufacturing (285), with junior-level dominance (905 of 1,610 active postings), suggesting either high-volume candidate placement activity or internal scaling of recruitment/fulfillment operations.
Notable leadership hires: Production Lead, Commercial Director, Production Assembly Lead, Housekeeper Lead, Chief Baker
Candidata ai is a job marketplace based in Uberlândia, Brazil, that publishes employment opportunities from partner companies across the country. The platform does not hire candidates directly; instead, it serves as a discovery and distribution channel while hiring companies retain full control of candidate management and final decisions. The organization operates with 11–50 employees and is actively hiring across operations, manufacturing, sales, logistics, and finance. Current projects include SAP integration for 3PL logistics, preventive maintenance programs, credit recovery workflows, and digital marketing campaigns. The company also manages meta and Google advertising spend to drive candidate traffic and partner visibility.
Primary tools include SAP modules (S/4HANA, Commerce Cloud, SD, MM, FI), Salesforce, HubSpot, Google Analytics, Meta/Facebook Ads, Power BI, and Google Workspace. The company is adopting AWS and SAP Commerce Cloud while implementing a CMMS for maintenance workflows.
Candidata ai has 11–50 employees and is in an accelerating hiring phase, with 754 new job postings added in the last 30 days across multiple departments.
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