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Mastercard

HQ
Purchase
Total Offices: 10
38,800 Total Employees
Year Founded: 1966

Jobs at Mastercard

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Recently posted jobs

10 Days AgoSaved
Remote or Hybrid
Austin, TX, USA
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
Lead OpenPages configuration, enhancements, UAT, and adoption for Internal Audit. Translate auditor requirements into technical specs, partner with developers, produce reporting/metrics, and deliver training and change management. Support integration of AI (WatsonX) capabilities, optimize workflows, and drive audit automation and analytics.
16 Days AgoSaved
Hybrid
Austin, TX, USA
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
Design, build, operate, and scale enterprise AI platforms across public and private clouds. Develop MLOps capabilities, CI/CD pipelines, infrastructure automation, observability, monitoring, governance, and AI deployment services. Support production machine learning and generative AI workloads, troubleshoot incidents, improve reliability and performance, collaborate with engineering, security, and governance teams, evaluate emerging technologies, and mentor peers.
One Month AgoSaved
Hybrid
Austin, TX, USA
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
Drive Ethoca's North America merchant expansion by outbound prospecting, qualifying inbound leads, generating pipeline for Regional Sales Executives, and communicating chargeback-prevention solutions. Maintain Salesforce records, collaborate with Marketing and Sales Operations, and act as a payments subject-matter resource for merchants and internal stakeholders.
One Month AgoSaved
Hybrid
Austin, TX, USA
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
Lead design, procurement, and scaling of on‑premise AI infrastructure (compute, storage, networking, accelerators). Act as product owner translating data science needs into enterprise platforms, run RFI/RFPs, partner with MLOps, security, and governance, and influence executive stakeholders to enable large‑scale training and low‑latency inference for generative and predictive AI.