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, 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.

Build and deploy production-grade AI and machine learning systems, including agentic applications, internal developer tooling, orchestration, APIs, evaluation frameworks, guardrails, and scalable deployment pipelines. Partner with data scientists to productionize proofs of concept, tune and validate models, monitor performance, manage versioning, and ensure reliable, ethical, and scalable operations.

Lead design, development, and operation of scalable data pipelines and products for foundation model training, inference, and evaluation. Partner with AI, software, and platform teams to enable feature engineering, ensure data quality, lineage, governance, performance, and security. Mentor engineers, lead code and design reviews, and contribute to program planning and delivery risk management.

Leads hands-on development of backend and full-stack capabilities for a real-time decision management platform. Owns architecture, coding, testing, deployment, production support, and technical direction for scalable services, APIs, workflow tools, integrations, and user-facing experiences. Mentors engineers, conducts design and code reviews, improves engineering quality, and collaborates with product and senior stakeholders to deliver reliable, secure, observable software.

Manages strategic customer agreements and small deals across Europe, ensuring profitable structures, compliant business cases, accurate financial models, and contract alignment. Partners with sales, legal, finance, accounting, and customers to execute agreements, assess pricing and profitability, track commitments, and provide strategic recommendations. Independently prioritizes opportunities, supports financial and business projects, and handles ad hoc initiatives in a multicultural environment.

Leads the enterprise data architecture strategy, designing scalable platforms for secure data exchange, onboarding, discovery, and consumption. Establishes architecture standards, roadmaps, and engineering practices while adopting modern data and AI technologies. Partners with executives and global engineering teams, influences technical decisions, ensures governance and compliance, and mentors teams. The role requires deep expertise in large-scale data platforms, distributed systems, cloud and on-premises environments, and enterprise integration.