Top Tech Jobs & Startup Jobs

Supports integrated U.S. media campaign planning, execution, optimization, budgeting, measurement, and reporting across digital, social, video, search, programmatic, CTV, radio, television, and outdoor channels. Coordinates with marketing, finance, analytics, procurement, creative, agencies, and external partners; monitors pacing and KPIs, maintains media plans and documentation, reconciles invoices, and identifies optimization and innovation opportunities.

Manages IT service performance against SLAs and OLAs, including service metrics, KPIs, catalog maintenance, incident/problem/change management, monitoring, release coordination, documentation, and continuous process improvement. Collaborates with business teams, development groups, and service providers to maintain reliability, resolve operational issues, manage security-risk remediation timelines, and deliver service-management projects.

Lead the engineering strategy, architecture, execution, and organizational growth of Mastercard’s AI-native Decision Stream platform. Drive scalable distributed systems, cloud-native architecture, reliability, security, and technical excellence while partnering with Product, Architecture, AI, and Platform Engineering. Recruit and develop high-performing teams, establish engineering metrics, and deliver business outcomes across fraud, authentication, payments, and risk decisioning.

Leads Mastercard’s consumer solutions sales strategy across East Southeast Asia, driving adoption, revenue, market share, and portfolio growth through issuers, digital banks, fintechs, and partners. Develops commercialization and go-to-market strategies, advises senior customers, identifies market opportunities, influences product roadmaps, and delivers data-driven solutions. Collaborates across product, marketing, legal, analytics, and regional teams while building, coaching, and developing a high-performing team.

Owns product management and execution for Mastercard’s Attribute Verification suite, including Address Verification Service, CVC2, and Age Verification. Defines requirements, prioritizes backlogs, develops KPI dashboards, analyzes customer and market data, identifies regional growth opportunities, and coordinates with technical, regional, and customer-facing stakeholders. The role supports product modernization, customer value propositions, fraud prevention, regulatory needs, and revenue growth across global markets.

Leads software engineering strategy, architecture, platform delivery, and organizational growth for Mastercard’s AI-native decisioning platform. Oversees scalable distributed systems, streaming, AI, cloud-native infrastructure, reliability, security, engineering standards, and operational excellence. Recruits and develops technical talent, partners with Product and business stakeholders, and drives execution from concept through production adoption while shaping long-term technology vision.

Develops, tests, implements, documents, maintains, and supports secure, scalable software applications. Conducts technical research, feasibility studies, system design, debugging, incident management, and production support. Works within agile and waterfall environments, participates in on-call rotations, uses automated testing and continuous delivery practices, and supports software quality, metrics, documentation, and process improvement.

Execute financial, operational, regulatory, technology, and advisory audits; assess risks and control effectiveness; document workpapers; identify control gaps; develop remediation recommendations; communicate findings; track action plans; and support risk assessments and audit process improvements. The role also collaborates globally, coaches peers, and requires expertise in statutory auditing, Indian Companies Act audits, internal controls, technology risk, and cybersecurity.

Owns technical product management for Mastercard transaction switching solutions. Translates business needs into functional requirements, partners with project managers and engineering teams on design and delivery, represents customer needs, and oversees requirements through testing, production, and post-production. The role requires payments industry knowledge, cross-functional stakeholder management, agile delivery experience, documentation skills, and the ability to manage multiple projects across their lifecycles.

Develop predictive models and machine-learning solutions for cybersecurity, payment fraud detection, and vulnerability analytics. Analyze large datasets using distributed processing, identify patterns, create technical rules, integrate cybersecurity and transaction data, and design performance metrics. Collaborate with product, engineering, and operations teams, translate stakeholder needs into analytical solutions, and communicate insights to leadership. The role also involves graph databases and graph machine learning, including graph neural networks.