Top Tech Jobs & Startup Jobs in Rio de Janeiro

Build, evolve, and maintain large-scale Ruby-based backend payment services (accounts, wallets, balances, authorization, card lifecycle). Design, test, deploy, monitor production systems, improve reliability and performance, drive architecture, lead end-to-end projects, mentor engineers, and collaborate with product and cross-functional teams across distributed locations.

Own and grow enterprise customer accounts across Brazil, driving renewals, upsells, cross-sells, adoption, and retention. Build executive relationships, lead account planning and business reviews, manage complex expansion sales cycles, resolve escalations, and serve as an Appdome platform expert. Collaborate with Sales, Product, Onboarding, and Service Delivery teams while mentoring Customer Success peers and traveling across Brazil and LATAM for customer and industry engagements.

Leads data science strategy across Mexico and Brazil, manages and mentors a distributed team, and remains hands-on building and deploying machine learning models. Establishes modeling standards, infrastructure, delivery practices, and technical roadmaps while partnering with credit leadership on underwriting, valuation, impact measurement, and P&L analysis. Requires strong applied machine learning expertise, prior data science leadership, business communication skills, and understanding of credit or underwriting.

Provide Tier 2 and Tier 3 technical support for an enterprise AI vision platform running on Kubernetes. Investigate and resolve complex issues involving deployments, containers, infrastructure, networking, hardware, configuration, logs, and distributed systems. Reproduce customer environments, lead troubleshooting sessions, perform root-cause analysis, collaborate with Engineering on escalations, and communicate technical findings and resolutions to enterprise customers. The role is fully remote in LATAM and requires U.S. East Coast availability.

Lead enterprise-scale ServiceNow platform engineering across ITSM, ITOM, ITAM, CSM, CMDB, integrations, automation, and AI capabilities. Own complex technical designs, engineering standards, platform governance, performance, security, reliability, and critical incident response. Drive integrations, SDLC, DevOps, CI/CD, automated testing, and responsible AI adoption. Partner with architects, security teams, product owners, and senior stakeholders while mentoring engineers and guiding multi-stream initiatives.

Own the revenue operations systems, processes, and data supporting the full funnel from lead capture through closed-won. Manage HubSpot, Nooks, integrations, workflows, enrichment, lifecycle stages, routing, reporting, attribution, pipeline forecasting, and data quality. Partner with marketing, sales, and finance to build scalable processes, playbooks, and AI-powered automations that improve efficiency and support growth.

Own customer implementations from initial Valorx Wave configuration through UAT, solution walkthroughs, environment transitions, deployment, and go-live. Manage multiple implementations, track milestones and risks, lead customer meetings, coordinate action items, collaborate with Product and Support teams, and provide proactive guidance and structured feedback throughout onboarding.

Lead and manage online instructors for a Portuguese Software Development program, coordinate curriculum improvements, teach online courses, ensure teaching quality, mentor staff, and support program growth and alignment with academic standards.

Early-career engineer role building AI-driven features, prototypes, and production-quality systems using modern AI coding agents. Work closely with founders and senior engineers to iterate fast, direct and evaluate AI agents, and contribute to AI infrastructure and agentic development workflows.

Design, build, evaluate, and deploy production-grade LLM and classical ML solutions. Create retrieval and agentic workflows, integrate AI into client apps, implement evaluation frameworks, optimize prompts and pipelines, and collaborate with product teams through discovery to production support.