Top Tech Jobs & Startup Jobs in Mexico City

Owns data and transactional operations for commercial and marketing back-office processes across assigned markets. Responsibilities include data stewardship, validation, extraction, reporting, incentive compensation calculations, CRM or sales force support, process documentation, stakeholder engagement, issue resolution, SLA adherence, and continuous improvement. The role requires strong Excel, analytics, service delivery, communication, and stakeholder management skills, along with fluency in English and Spanish.

Build and maintain scalable GTM data pipelines, marts, semantic models, and dashboards supporting headcount planning, quota attainment, pipeline analytics, and sales effectiveness. Partner with GTM analysts and stakeholders to define reliable metrics, document data products, enable business users, and develop AI-powered natural-language data tools. Translate complex technical concepts for executives and engineers while ensuring data quality and maintainability.

Manages customer invoice collections, payment processes, purchase orders, finance cases, and accounts receivable activities. Partners with sales, accounting, operations, customers, auditors, and internal stakeholders to resolve issues, improve processes, maintain accurate data, support monthly close and forecasting, and contribute to finance projects. Uses NetSuite and Salesforce while supporting team training and operational efficiency.

Handles customer support inquiries for software applications, troubleshoots issues, identifies underlying problems, recommends solutions, and escalates complex cases. Coordinates with customers and technical teams, analyzes requirements and data, tests and maintains applications, documents resolutions, and supports secure development processes. The hybrid role requires strong English communication, analytical problem-solving, patience, and prior customer or technical support experience.

Provides prompt, professional, and empathetic support to SaaS customers through tickets, live chat, and phone. Manages case queues, resolves product and account issues, escalates complex cases, maintains product knowledge, and collaborates with teammates to deliver an excellent customer experience. The role is hybrid in Mexico City and requires bilingual English and Spanish communication, along with availability for a Monday-Friday afternoon and evening shift.

Senior Data Scientist supporting marketing and product strategy through user behavior analysis, experimentation, causal inference, predictive modeling, KPI development, data pipelines, dashboards, and statistical analysis. The role partners with marketing, product, design, and engineering teams to improve user engagement, product decisions, campaign performance, and learning experiences.

Lead end-to-end merchant implementation projects: design and build scalable API-based payment integrations, troubleshoot technical and operational issues, collaborate with Sales/Product/Engineering, and improve delivery quality by identifying patterns and sharing insights.

Supports global Technical Services operations by managing workforce schedules, on-call coverage, incident workflows, customer access requests, KPI reporting, dashboards, SOPs, and cross-region handoffs. The role identifies operational bottlenecks, builds automation with Google Apps Script and AI tools, coordinates policy and product-release communications, and partners with technical support leadership to improve efficiency and customer service across a 24x7x365 support organization.

Leads and mentors a backend software engineering team while remaining hands-on with coding. Partners with Product, Design, and engineering teams to prioritize projects, define roadmaps, make technical decisions, and deliver customer-facing features. Responsibilities include hiring, developing, and retaining engineers; coordinating execution; communicating complex concepts; fostering technical excellence; and improving internal workflows and user experiences.

Own and build a greenfield platform integration: design, implement, and monitor data-intensive microservices; collaborate with product and design; lead team rituals; and mentor engineers to deliver scalable solutions.