Top Tech Jobs & Startup Jobs in Rio de Janeiro

Leads advertising and media strategy for a portfolio of marketplace brands across Amazon, Walmart, and Target. Owns media planning, forecasting, budgets, performance analysis, audience development, experimentation, and incremental growth. Manages Amazon Sponsored Ads, DSP, and AMC programs while coaching analysts and presenting recommendations to senior client leadership. Partners with retail and creative teams to improve advertising outcomes.

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.

Hands-on DevOps Engineer responsible for modernizing AWS infrastructure, migrating pipelines to GitHub Actions, and strengthening CI/CD automation. The role covers infrastructure as code, monitoring and observability, AWS security, cost optimization, capacity planning, deployment standardization, and production incident response. Experience with Datadog, Slack alerting, containers, Python or Bash scripting, regulated environments, and AWS certifications is preferred.

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 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.

Lead and redesign the web production operating system for a high-volume direct-to-consumer business. Own intake, requirements, workflow, capacity planning, dependencies, AI-assisted production, quality control, team capability, and operational measurement. Improve request-to-launch speed, throughput, predictability, and first-pass quality while reducing rework and marketing launch delays. Partner closely with marketers, designers, developers, copywriters, and media buyers to standardize production and scale output without proportional headcount growth.

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.

Own and improve API and integration documentation, create quickstarts and sample applications, answer partner technical questions, and guide signed customers from requirements through production launch. Responsibilities include sandbox testing, provisioning after KYB and KYC approval, webhook validation, go-live checks, partner demos, onboarding automation, and feeding API issues back to Product and Engineering. The role requires hands-on API debugging, strong technical writing, comfort with ambiguity, and daily use of AI tools.

Own end-to-end EAM implementations from analysis through go-live. Lead customer workshops, translate business requirements into platform configurations, configure workflows, structures, integrations, and reporting, and manage multiple projects within scope, budget, quality, and timelines. Train users and support adoption while collaborating with consulting, product, and support teams. Contribute to improving implementation practices and explore AI-driven optimization opportunities.

Engineer and maintain vulnerability and exposure management pipelines covering scanning, data ingestion, normalization, risk prioritization, ticketing, reporting, and automation. Build Python, SQL, and API integrations across vulnerability, ticketing, cloud, and endpoint systems. Implement CTEM operating-model processes, risk-based prioritization using threat intelligence and asset context, data-quality checks, runbooks, SLA logic, exception handling, and service-ownership mapping.