Top Tech Jobs & Startup Jobs in Brasilia

Respond to customer inquiries across mobile and desktop platforms, resolve issues promptly, document cases and trends, identify potential bugs, and contribute to SOP improvements. The representative will support users, reinforce community standards, communicate clearly in American English, and adapt to evolving product knowledge. This fully remote role requires Brazil-based availability, e-commerce experience, strong technical aptitude, and willingness to work variable shifts including weekends.

Transforms data into actionable insights for CVS Health’s Direct-to-Consumer channels. Develops reporting solutions, quality dashboards, and analytics on agent behavior, quality trends, and process opportunities. Partners with Quality Assurance, Compliance, Operations, and Vendor Management to ensure data integrity and improve performance. Supports vendor oversight, internal reporting, and quality-monitoring innovation using tools such as Excel, SQL, and NICE CXone, with a focus on Medicare sales processes.

Lead discovery workshops and design, configure, and implement Microsoft Dynamics 365 Customer Insights Journeys solutions for customer engagement, marketing automation, lead management, and service processes. Responsibilities include creating customer journeys, segments, forms, scoring models, personalization rules, KPIs, and integrations with Sales, Customer Service, Power Platform, and Power BI. The consultant will support solution reviews, testing, training, stakeholder engagement, and continuous campaign improvement.

Build and maintain accurate stadium seating maps and configurations in the ticketing system; manage seat allocations, QA ticket inventory, validate seating via onsite inspections, support ticketing operations and liaison with cross‑functional teams throughout planning and tournament stages.

Design and build foundational AI systems, generate reliable training data, collaborate with engineers, data analysts, and business users, and write efficient SQL queries. The intern will support AI system development within Sezzle’s Data Science team while leveraging Python, SQL, and large language model tools such as Claude. The role includes a technical interview process covering SQL and Python.

Lead product demonstrations, proofs of concept, and short-cycle trials for FP&A leaders evaluating Aleph’s AI-native platform. Configure solutions, answer finance and product questions, translate AI capabilities into business value, and guide technical evaluations through decision. Engage CFOs and senior finance stakeholders while partnering with go-to-market, Product, and Engineering teams to improve positioning and roadmap decisions.

Guide customers and team members through standard, complex, and bulk employment offboarding processes. Manage sensitive cases, escalations, service-level agreements, customer satisfaction metrics, data accuracy, and cross-functional coordination with HR, finance, product, legal, and support teams. Improve playbooks and workflows, contribute to knowledge resources, and support peer learning while maintaining empathy, organization, and operational efficiency in a fully remote environment.

Support contractor invoicing, payment execution, contract administration, financial recordkeeping, budgeting, cash-flow tracking, financial modeling, and budget-versus-actual variance analysis. The role requires translating financial data into actionable insights for leadership while coordinating international payments and maintaining accurate operational cost records. This is a part-time, fully remote position for candidates based in LATAM.

Build and maintain scalable, testable backend systems and RESTful APIs; implement best practices, concurrency, and integrations; automate build/deploy pipelines; evaluate and adopt backend and AI-related technologies to ensure high-quality deliveries.

Own the technical relationship and sales engineering lifecycle for strategic partners, including system integrators, ISVs, OEMs, and hyperscalers. Shape joint architectures, co-sell opportunities, proofs of concept, competitive positioning, partner enablement, reference assets, and Centers of Excellence. Advise on hybrid cloud, data sovereignty, streaming, lakehouse, and GenAI architectures while developing technical champions and communicating partner needs internally. The role also includes thought leadership through workshops, whitepapers, webinars, and industry events.