Corporate wellness platform integrating gym access, online fitness, and mental health
TotalPass Brasil operates a B2B wellness benefit platform connecting corporate employees to thousands of gyms and digital health services across Brazil. The tech stack—Salesforce, HubSpot, and a full analytics suite (Power BI, Redshift, SageMaker, Looker)—reflects a sales-driven, data-heavy organization. Active projects around fraud detection ML models and indirect sales channel development signal both operational maturity challenges (scaling fraud prevention) and go-to-market expansion, while hiring skews heavily toward sales (9 roles) relative to engineering (3), indicating a company in commercial scaling mode rather than product-infrastructure build.
Notable leadership hires: Tech Lead
TotalPass Brasil provides corporate employees access to a network of gyms, online training programs, psychological counseling, and meditation services—designed to address both physical and mental wellness. Founded in 2016, the company has grown to 201–500 employees based in São Paulo, Brazil, operating exclusively in the Brazilian market. The platform integrates thousands of gym locations across the country with over 250 fitness modalities, supplemented by digital-first mental health and wellness offerings. Revenue generation depends on B2B contracts with mid-market and enterprise employers; the organization handles high-value contract cycles and manages channel partner relationships.
Core: Salesforce (CRM and marketing cloud), HubSpot, SQL. Analytics: Power BI, Google Data Studio, Redshift, Tableau, Looker, QuickSight. Cloud: AWS (including Glue, Athena, SageMaker), GCP, Azure. Backend: Ruby on Rails, Python, Java. Design: Figma.
Core projects: fraud detection and prevention (ML models, monitoring dashboards, behavioral segmentation), platform scalability, product evolution, and go-to-market expansion (indirect sales channels, commercial marketing, channel performance monitoring). Also addressing contract renewal and qualified demand generation.
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