Top Tech Jobs & Startup Jobs

Leads complex, cross-functional technical programs for Mastercard’s Transaction Lookup Services platform. Coordinates Engineering, Data, Architecture, Operations, Security, regional teams, and business stakeholders; manages plans, dependencies, risks, delivery metrics, testing, launch readiness, and operational handoff. The role requires technical understanding of APIs, microservices, distributed systems, cloud platforms, data flows, security, compliance, and payments. Uses SQL and analytical tools to investigate issues and validate outcomes, while evaluating practical AI opportunities.

Leads Mastercard’s agentic commerce product strategy, commercialization, partnerships, pricing, P&L, and global scaling. The role directs Agent Pay and related products, collaborates with AI labs, merchants, issuers, wallets, and payment providers, and represents product strategy to executives and external partners. It requires building teams, defining roadmaps, validating product-market fit, driving adoption, and navigating complex payments, fintech, AI, and digital asset ecosystems.

Leads Mastercard’s agentic commerce product strategy, including Agent Pay and Agent Pay for Machines. Owns product vision, commercial strategy, pricing, P&L, roadmap, customer experience, go-to-market, partnerships, and market scaling. Orchestrates cross-functional teams across product, legal, treasury, franchise, regional, and technology functions while engaging AI labs, merchants, issuers, wallets, acquirers, and payment providers. Builds and leads teams delivering secure digital payment capabilities for AI agents and autonomous systems.

Leads Mastercard’s agentic commerce product strategy, commercialization, partnerships, and global scaling efforts. Owns product vision, value propositions, pricing, P&L inputs, go-to-market strategy, customer validation, roadmap development, and product-market fit. Orchestrates cross-functional teams across product, legal, treasury, partnerships, franchise, and regional organizations while representing the product externally to AI labs, payment providers, merchants, issuers, wallets, and other ecosystem partners.

Leads a global team of Partner Success Managers supporting strategic B2B partners using Mastercard Security Solutions. Oversees onboarding, adoption, retention, renewals, governance, performance insights, executive reviews, and revenue expansion. Builds joint growth plans, strengthens partner relationships, advocates for partner needs internally, and collaborates across Product, Sales, Marketing, Customer Success, and Partnerships to improve scalable partner outcomes.

Leads software engineering teams developing scalable full-stack applications using Java microservices and React or Angular. Provides architectural direction, manages delivery across concurrent initiatives, mentors engineers, establishes testing and engineering standards, and drives reliability, performance, automation, observability, and continuous improvement. Partners with product, infrastructure, security, quality, and business stakeholders on roadmaps and technical decisions. Requires extensive expertise in distributed systems, cloud platforms, databases, CI/CD, containers, and enterprise application development.

Leads Mastercard’s global government cybersecurity engagement strategy, partnering with senior leadership and representing the organization with governments, cybersecurity agencies, critical infrastructure bodies, and multilateral institutions. Oversees advisory councils, strategic workstreams, policy and threat landscape analysis, executive communications, internal stakeholder alignment, and team development. Builds partnerships and positions Mastercard as a trusted cybersecurity advisor while improving the coherence, efficiency, and impact of global engagement activities.

Leads IT service management, governance, project delivery, compliance, operational reporting, and SRE enablement. Standardizes Remedy and Jira workflows, manages service catalogs and CMDBs, tracks security obligations, coordinates releases and PI ceremonies, drives root-cause remediation, improves observability, and partners with engineering and business teams to deliver secure, compliant, and reliable systems.

Leads the design, development, and operation of enterprise AI and machine learning platforms across public and private clouds. Builds MLOps infrastructure, model training and inference workflows, observability, governance, automation, and deployment capabilities. Provides technical leadership, resolves complex platform issues, influences architecture, partners with cross-functional teams, and mentors engineers. The role emphasizes scalable, secure, reliable AI operations, generative AI enablement, infrastructure as code, CI/CD, monitoring, and enterprise platform adoption.

Leads the design, development, and operation of enterprise AI platforms across public and private clouds. Builds MLOps infrastructure, model deployment and inference workflows, observability, monitoring, governance, and automation. Drives reliability, security, scalability, incident response, and technical architecture while partnering with cross-functional teams and mentoring engineers.