Companies Mastercard

Mastercard

Purchase, New York, USA

Total Offices: 10

38,800 Total Employees

Year Founded: 1966

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Product Management 7 Customer Success & Experience 3 AI & Machine Learning 3 Engineering 3 Legal 2 Finance 1 Marketing 1 Program & Project Management 1 Sales 1

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Published on March 12, 2026

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Mia Goulart

Updated on March 12, 2026

12 Companies Hiring Interns in NYC to Know

These companies offer hybrid and in-person internship opportunities across specializations ranging from marketing to software engineering.

Ana Gore

Updated on March 18, 2026

23 Companies Hiring AI and Machine Learning Engineers in NYC

These companies are making NYC a powerhouse for AI innovation.

Olivia McClure

Updated on February 20, 2026

13 Companies Hiring Data Scientists in NYC

As NYC’s data science community grows, these tech companies are focused on finding local data scientists who are eager to build their careers — and make an impact.

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Updated on March 24, 2026

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Mastercard

Manager, Technical Program Management

10 Hours AgoSaved

Hybrid

New York, NY, USA

Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing

The Manager will coordinate cross-functional programs, develop narratives, create presentations, and ensure effective communication among technical and non-technical stakeholders at Mastercard.

Mastercard

Director, Product Management

YesterdaySaved

Hybrid

New York, NY, USA

Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing

The Director of Product Management will oversee the MDES platform for Digital Wallets, collaborating with various teams to define product requirements, manage timelines, and strategize market approaches for Mastercard.

Mastercard

Lead AI/DevOps Engineer

YesterdaySaved

Remote or Hybrid

New York, NY, USA

Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing

The Lead AI/DevOps Engineer will lead DevOps initiatives, design AI infrastructure, develop solutions for AI use cases, and optimize cloud resources. They will collaborate with customers, security teams, and infrastructure teams to deliver effective AI solutions.

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