Top Remote Jobs in Fortaleza

Provide customer support through phone, chat, and email; build customer relationships; protect sensitive data; meet KPIs; research and resolve issues; maintain knowledge of client solutions; and collaborate with developers and cross-functional teams. The role requires fluent English, customer support experience, travel-industry experience, analytical skills, and reliable home-office equipment. Hospitality or logistics experience is preferred.

Advise clients on antitrust eDiscovery compliance using machine learning and generative AI. Build and validate TAR/AI models (Epiq AI, Relativity, Reveal, Brainspace), craft LLM prompts, draft defensible protocols, train/transfer workflows to review teams, and support client-facing, pre-sales, and thought-leadership activities. Must manage multiple projects and meet deadline-driven schedules.

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.

Own complex enterprise telephony integrations and provide advanced post-onboarding technical support. Troubleshoot call failures using PCAPs, SIP traces, and carrier logs; improve call quality and reliability; support platforms including Twilio, Telnyx, Avaya, Genesys, and Amazon Connect; communicate technical issues to premium customers; and translate customer feedback into product improvements. The role also involves scripting troubleshooting automations and collaborating with Pacific Time customers and teams.

Lead end-to-end product design across mobile, web, desktop, and plugins. Translate complex audio AI into intuitive interfaces, run user research with musicians, evolve the design system, prototype rapidly (including coded prototypes), and partner with PMs and engineers from problem framing to shipped features.

Leads the organization’s global data operations, systems, infrastructure, integrations, governance, security, and data protection. Owns technology and data architecture, quality standards, roadmaps, risk management, vendor relationships, and change initiatives. Manages a multidisciplinary technical team and acts as Data Protection Officer, partnering with senior stakeholders to ensure reliable systems, effective data use, operational resilience, and continuous improvement.

Own the complete post-sale customer lifecycle for B2B SaaS accounts, including onboarding, rollout coordination, issue resolution, account health, renewals, retention, and expansion. Lead cross-functional customer calls, uncover friction and upsell opportunities, document feedback, escalate operational issues, maintain accurate account records, and develop standardized customer success playbooks. The role requires high autonomy, urgency, strong communication, and technical comfort with CRM and workflow tools.

Lead day-to-day workforce operations for a global team of freelance AI tutors, subject matter experts, writers, and editors. Responsibilities include identifying expert profiles, managing onboarding, monitoring quality and performance, replacing inactive or fraudulent contributors, coordinating with technical teams, and resolving delivery issues. When needed, own capacity planning, forecasting, delivery plans, workforce risk, and cost tracking across fast-moving projects.

Own the post-sale customer lifecycle for B2B SaaS accounts, including onboarding, rollout coordination, issue resolution, account health, renewals, retention, adoption, and expansion. Lead cross-functional communication with customers and internal teams, document feedback and action items, identify churn risks and upsell opportunities, and standardize customer success processes. Requires high autonomy, urgency, strong communication, and comfort with CRM systems, workflow automation, and multi-site deployments.

Design, implement, and maintain Azure cloud infrastructure, deployment architectures, CI/CD pipelines, highly available systems, monitoring frameworks, and Kubernetes-based applications. Automate provisioning with Terraform or CloudFormation, apply security best practices, optimize performance through observability, and collaborate with distributed development and client teams to deliver projects.