Top Tech Jobs & Startup Jobs in Rio de Janeiro

Design, build, and productionise AI-powered features (LLMs, RAG, agents) across payments products. Develop data pipelines, model integrations, APIs, monitoring, and responsible AI guardrails. Collaborate with product, engineering, and domain experts to evaluate, benchmark, and scale reliable, secure, observable AI systems.

Own NetBox’s build and release pipeline from image creation through Cloud and Enterprise deployment. Improve Django and PostgreSQL performance, establish observability and SLOs, strengthen software supply chain security, and support SOC 2 compliance. Participate in on-call rotations, incident response, and postmortems. Drive cross-team migrations and release processes while contributing fixes to NetBox Core when reliability issues originate in the application.

Design and build services supporting machine learning products, create automation for model deployment, maintain production data systems, and collaborate across teams on large-scale data infrastructure. The role includes code reviews, distributed system design, CI/CD, pipeline development, and infrastructure orchestration using cloud, containerization, and data engineering technologies.

Own end-to-end member growth across acquisition, onboarding, activation, retention, reactivation, and referrals. Build and prioritize a growth backlog, establish measurement frameworks, run data-driven experiments, and communicate trade-offs to executives. Partner with product, marketing, data, engineering, and design teams to create organic and viral growth loops, use AI tools to accelerate delivery, and improve growth outcomes for a scaled consumer software product.

Own end-to-end report and dashboard creation, including data integration, ETL, visualization, publication, and quality management. Analyze trends, exceptions, and root causes; develop recommendations for stakeholders; and support business analytics initiatives using models, KPIs, scorecards, and BI tools to improve business performance.

Develop and execute Brazil’s partner marketing strategy to generate pipeline and revenue through solution and reseller partners. Manage partner budgets and MDF allocation, plan go-to-market activities, lead partner events and campaigns, coordinate cross-functional stakeholders, prioritize partners by revenue potential, and track performance through reporting and analysis.

Develop scalable Java and Kotlin software for NinjaOne’s ticketing and billing products. Build reliable systems for ticket workflows, invoicing, quoting, accounting integrations, and endpoint-management connections. Responsibilities include implementing enterprise software, scaling data structures and services, applying object-oriented design, developing REST APIs, working with relational databases and Redis, and maintaining rigorous testing and quality standards.

Administer and optimize Salesforce Service Cloud to streamline customer support workflows, reduce case backlogs, and improve resolution times. Design complex screen flows and Omni-Channel configurations, automate support processes, collaborate with engineering, product, and customer support teams, and provide insights that improve customer satisfaction and operational efficiency. This is a contractor role open to candidates located in Latin America.

Provides Tier 1 and Tier 2 IT support, resolves tickets, manages Mac and Windows laptop provisioning, supports employee onboarding and offboarding, delivers IT training, administers Google Workspace and Okta access, and documents scalable IT processes. The role also supports identity management, endpoint management, knowledge-base development, and reliable day-to-day IT operations in a small global environment.

Serve as a senior technical partner to Enterprise customers by designing, building, troubleshooting, and improving reliable automations. Lead architecture reviews, technical account planning, executive conversations, escalations, and cross-functional initiatives. Partner with Customer Success to improve adoption, retention, and growth while representing customer needs to Product and Engineering. Advise customers on responsible AI implementation, including AI-assisted workflows, agentic systems, evaluation, governance, security, and oversight.