Top Tech Jobs & Startup Jobs in Sao Paulo

Develop and maintain mobile games using Unity across prototyping, production, co-development, live operations, and platform conversion. Participate in sprint planning, clarify requirements, design technical solutions, write maintainable code, conduct code reviews, debug and profile large codebases, optimize performance and memory usage, communicate risks, and support continuous process and quality improvements.

Own an enterprise agricultural sales territory covering major growers and large farming operations. Generate pipeline, conduct discovery and field demonstrations, develop ROI cases, negotiate, close six-figure contracts, and expand multi-region accounts. Build relationships with growers, agronomists, executives, and technical stakeholders while maintaining forecasts and CRM discipline. Represent the company at industry events, support pricing and product strategy, and coordinate customer handoffs. Approximately 25% travel is required, including farm visits and periodic U.S. travel.

Manage and grow relationships with brands and retailers in the Mexican market. Responsibilities include identifying partners, negotiating and closing sales, onboarding opportunities, advising partners on platform integration and growth, monitoring KPIs, and implementing performance optimizations. The role collaborates with product, design, marketing, and international teams and requires advanced Spanish, confident English communication, and occasional travel.

Design, develop, debug, and optimize firmware for wireless IoT devices, MCUs, wireless SoCs, and embedded Linux systems. Work with Zigbee and other IoT protocols, improve code size and performance, maintain complex codebases, design software subsystems, and integrate solutions with client ecosystems. Collaborate directly with customers and distributed engineering teams while independently owning software components and contributing to technical discussions.

Lead the architecture and development of scalable AI/ML pipelines and production systems, including LLMs and Generative AI. Mentor engineering teams, guide technical decisions, operationalize models, optimize performance and costs, and implement MLOps practices such as CI/CD, monitoring, versioning, and maintenance. Partner with executives, clients, product managers, data scientists, and software engineers to align AI roadmaps with business goals and integrate ethical AI capabilities into enterprise applications.

Lead engineering execution and technical direction while remaining approximately 75% hands-on. Responsibilities include developing LLM- and AI-powered products, coding, code review, debugging, platform performance, sprint planning, cross-functional coordination, technical mentorship, recruiting, and supporting engineers’ growth. The role partners closely with founders and product teams and offers a path toward Engineering Manager responsibilities.

Own paid user acquisition and performance marketing for mobile apps across iOS and Android. Plan, execute, measure, and scale campaigns across major advertising channels; manage attribution, SKAN, MMPs, signal engineering, budget allocation, payback modeling, and subscription economics. Optimize web-to-app flows, app store conversion, and funnel performance while collaborating with creative, CRM, and product teams. Lead client performance reviews and communicate measurement insights and growth recommendations.

Build and ship cross-platform mobile applications from specification through app-store release. Own architecture, release pipelines, backend integrations, authentication, offline caching, notifications, native platform bridges, security rules, performance, and real-device testing. Use coding agents extensively while reviewing generated code carefully. Collaborate directly with product owners and designers, diagnose production failures, manage store submissions, and deliver reliable apps using Flutter, React Native, Supabase, and Firebase.

Conduct product analysis, answer stakeholder questions, define product metrics, and design and evaluate A/B tests. Partner with product managers and engineers, explain statistical concepts, assess significance and experimentation pitfalls, and provide data-driven insights. The role also involves understanding data models, communicating findings through data storytelling, supporting product decisions, and contributing to team process improvements.

Build and optimize performance-critical execution systems for a Layer 1 blockchain and decentralized exchange. Responsibilities include developing low-latency order execution, event propagation, and state-update pipelines; optimizing concurrency, scheduling, memory, and I/O; ensuring determinism, correctness, resilience, and consensus compatibility; profiling bottlenecks; and shaping execution architecture. Senior and principal contributors will lead system design, mentor engineers, and establish high-assurance distributed execution standards.