Top Tech Jobs & Startup Jobs

Lead design, build, and operate scalable data pipelines and products to support foundation model training, inference, and evaluation. Ensure data quality, lineage, governance, and performance across batch and streaming workloads; enable feature engineering and feature stores; mentor engineers and drive delivery with platform and product teams.

Lead design, build, and operate scalable data pipelines and products for AI model training, inference, and experimentation. Ensure data quality, lineage, governance, and performance; enable feature engineering and feature stores; collaborate with AI, platform, and product teams; mentor engineers and oversee delivery.

Lead design, build, and operate scalable, governed data pipelines and products to support foundation model training, inference, and evaluation. Partner with AI engineers on feature stores and training datasets, enforce data quality, lineage, governance, and performance, collaborate on cloud-native platforms, lead technical reviews, mentor engineers, and manage delivery risks and estimations.

Operate and improve multi‑cloud (AWS/Azure/hybrid) platforms with SRE practices: lead incident triage and RCA, manage Kubernetes and CI/CD pipelines, implement IaC and automation, enhance observability/AIOps, and drive DevSecOps and operational excellence across global 24x7 operations.

Supports customer engagement and product adoption for a Business Intelligence platform by executing email campaigns, newsletters, webinars, and customer communications. Maintains CRM databases, audience lists, campaign calendars, and reporting dashboards; tracks performance metrics and gathers customer feedback. Collaborates with Product, Sales, Marketing, and Customer Success teams to improve engagement programs and promote platform capabilities.

Lead design, build, and operate scalable data pipelines and products to support foundation model training, inference, and evaluation. Ensure data quality, governance, lineage, and secure access. Partner with AI, platform, and product teams, drive best practices, conduct reviews, mentor engineers, and manage delivery risks for AI data needs.

Leads planning and execution of global, cross-functional projects for Mastercard’s Shared Services Organization. Responsibilities include scheduling, milestone tracking, process improvement, status reporting, stakeholder communication, operational data analysis, risk management, and coordination across internal teams, regions, and third-party providers.

Manages service performance and operational excellence for mission-critical real-time payment services. Coordinates incident response, customer communications, root cause analysis, service reporting, risk mitigation, capacity planning, service changes, and continual improvement. Oversees compliance with SLAs and OLAs, maintains service mapping and risk registers, and serves as the escalation point for critical incidents. Partners with customers, regulators, engineering, security, product, and operations teams across markets.

Performs accounting and financial support for North American rebate and incentive programs. Responsibilities include contract review, month-end close, journal entries, accruals, payment validation, reconciliations, financial analysis, reporting, issue resolution, SOX compliance, and process improvement. Partners with business and financial systems teams to enhance controls, reporting, and operational efficiency while ensuring compliance with U.S. GAAP and company policies.

Leads AML/CFT, sanctions, KYC, and regulatory compliance for Mastercard Transaction Services Mexico. Responsibilities include UIF reporting, CNBV liaison, risk assessments, policy maintenance, staff training, regulatory examinations, customer due diligence escalations, audit responses, product expansion oversight, and compliance process improvement. The role serves as Mexico’s MLRO and subject-matter expert while collaborating with legal, product, compliance, and regional stakeholders.