Top Remote Jobs in Rio de Janeiro

Manage client partnerships by building trusted relationships, identifying growth opportunities, scoping projects, and coordinating cross-functional teams to ensure timely, high-quality delivery. Drive operational improvement, adoption of Aperture OS and AI workflows, support proposals and content, and contribute to new business and partnership initiatives.

Provide 1st–2nd line IT support for executives in the New York office, manage high-priority incidents via ServiceNow, troubleshoot Microsoft and mobile technologies, administer Active Directory, escalate to technical teams, support desk moves and out-of-hours events, and maintain compliance with FCA and ITIL practices.

Recruit candidates across Rise Collective brands in LATAM using LinkedIn Recruiter, ATS (Pinpoint), and social media. Source, screen, interview, and evaluate applicants; create job descriptions and kick-off docs; maintain ATS tagging and talent pools; draft offers and track KPIs. Receive 1:1 mentorship and training to refine screening and interview skills.

Provide operational support for live HTML5 games: respond to customer tickets (Jira), monitor game configurations, perform smoke and pre-production testing, assist QA and developers with releases and bug verification, conduct risk assessments, design fraud tools, improve processes and documentation, and cover rotating night shifts and on-call escalations.

The SEO Customer Success role involves onboarding customers, leading strategy in SEO and content, and ensuring successful partnerships that drive renewals and expansions.

The Cold Caller will make outbound calls to potential clients, introduce services, generate interest, and set appointments for the sales team.

The Senior Data Scientist will lead complex data science initiatives, collaborate with marketing and product teams, and create statistical models to drive strategic decisions.

Lead RF planning, optimization, troubleshooting, and performance improvement for GSM, LTE, and 5G networks across LATAM. Analyze KPIs, drive test and signaling data, support RAN modernization and swaps, collaborate with customers and internal teams, and present technical findings while contributing to engineering leadership and best practices.

Support product and finance operations by providing client support, executing daily operational processes, validating and reconciling data, building dashboards and reports, testing new tools, documenting SOPs, and collaborating with Product and Engineering to automate and improve workflows.

Work with real-world datasets to clean, transform, and analyze data using Python and spreadsheets; perform exploratory analysis, develop data models, support client reporting, and communicate insights to cross-functional teams to drive e-commerce decisions.