Top Tech Jobs & Startup Jobs in Sao Paulo

Build and execute data-driven acquisition and activation campaigns for a B2C worker marketplace. Monitor market health, prioritize and run multi-channel campaigns, and translate funnel strategy into scalable automations and AI-powered flows. Design, build, and evaluate LLM-driven workflows, onboarding sequences, re-engagement flows, and tooling to improve activation and retention across markets.

The Senior Data Scientist will develop and enhance predictive models for credit scoring and revenue forecasting while collaborating with multiple teams to execute data science experiments and ensure model reliability.

As a Golang Engineer at Tenki, you will build and maintain core infrastructure, architect APIs, and ensure secure microservices connectivity while mitigating DDoS threats and defining resilient systems.

Lead end-to-end UX research and product design for a fintech B2B platform: run studies, synthesize insights, define roadmaps, and deliver high-fidelity, accessible web interfaces in partnership with product and engineering.

Lead QA automation for complex web applications: design, build, and maintain Cypress/JavaScript test suites; run E2E, integration, regression, functional, and API tests; validate data with SQL; monitor with Grafana and Sentry; integrate tests into CI/CD; investigate production incidents; mentor other QA engineers and promote QA best practices.

Serve as a technical lead for customer implementations: design, configure, integrate, troubleshoot, and optimize Feedzai solutions. Build integrations (APIs, messaging, file processing), analyze Java application performance, support migrations and go-lives, mentor engineers, and collaborate with Product and Customer Success teams to ensure scalable, reliable deployments and long-term customer success.

The Partner Solutions Engineer will enable technical partners, drive integrations, develop joint solutions, and support strategic partner relationships while maintaining strong partner engagement.

Provide remote technical product support for Bright Data's platform via email and phone. Troubleshoot customer issues, identify root causes, explain technical concepts, recommend best practices, and collaborate with Engineering and Product teams to resolve complex problems while learning product features.

Lead research, design, and production of computer vision and ML solutions: define architectures, run experiments, train and deploy models (detection, segmentation, classification, OCR, visual search), own model lifecycle, improve datasets/annotations, optimize inference, set MLOps/evaluation standards, and mentor engineering teams to deliver production-quality AI features.

Design and build backend systems and APIs to run real-time, business-critical accounting logic. Ship features end-to-end (architecture, CI/CD, testing, monitoring), integrate third-party systems, manage edge cases and production readiness, and maintain strong database schemas and migrations.