Top Remote Jobs in Sao Paulo

The Senior Software Engineer will design and develop full-stack applications using React, Node.js, and TypeScript, collaborate with cross-functional teams, optimize applications, and mentor junior developers.

The Support Engineer, SAP FI/CO provides remote support for SAP applications, troubleshooting issues, developing fixes, and training customers in finance and controlling modules.

Lead full-cycle technical recruiting: partner with hiring teams to define hiring strategies, source and engage candidates, conduct technical interviews, manage the ATS, use data to improve processes, and ensure an excellent candidate experience to help scale the organization.

Design, build, and maintain performant backend systems and microservices for large-scale SaaS. Collaborate with Product, Design, and QA to deliver features, champion engineering best practices (testing, code review, observability), influence architecture, mentor engineers, and prioritize reliability and scalability.

Sell and promote eTeacher Group services via phone and email; analyze customer needs, handle objections, close deals to meet quota, build and maintain customer relationships, and communicate clearly. Work remotely with webcam and meet shift availability requirements.

Design, develop and manage e-learning and face-to-face training for Ticketing; conduct learning needs analysis, integrate content into the LMS, provide technical support, evaluate effectiveness, maintain documentation, and coordinate logistical planning for tournament workforce.

Lead strategy, growth, licensing, and operations for Alpaca's global crypto exchange business. Drive product, commercial, vendor, and compliance initiatives; oversee audits, expansion, B2B/B2C sales, GTM, and cross-functional coordination to scale a compliant crypto trading platform.

Design, train, and optimize computer-vision and vision-language models for retail product recognition; fine-tune VLMs and build VLA pipelines; optimize and deploy quantized models to edge devices; develop data pipelines and annotation workflows; research new architectures; mentor engineers and drive CV infrastructure and production deployments.

Design, train, and optimize computer vision and vision-language(-action) models for retail product recognition; fine-tune VLMs; build edge-optimized deployments and data pipelines; mentor engineers and drive ML infrastructure and deployment best practices.

Lead and coach a team of 5 Dedicated CSMs across the Americas to drive retention, expansion, and net revenue outcomes for high-value accounts. Establish operating rhythms, capacity planning, early-warning systems for at-risk accounts, and cross-functional escalation management. Champion AI-assisted workflows and data-driven playbooks to scale account monitoring and drive operational efficiency while influencing Product, Sales, and Operations with voice-of-customer insights.