Jobs / United States / Mastercard International Incorporated
Senior Vice President, Software Engineering
Mastercard International Incorporated · 🇺🇸 4 Locations
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 76 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 286 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Mastercard International Incorporated paid sponsored hires in similar roles1 certified filing for “Senior Vice President, Cardholder Services” (General and Operations Managers) in NY: $241k–$241k, median $241k. Most were filed at wage level IV (100%) — 4 lottery entries, ≈61% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Last confirmed live 2 days agoWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
Or apply yourself on the official page →
Sponsor Radar — Mastercard International Incorporated
The US Department of Labor certified 76 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 286 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Mastercard International Incorporated →
About the role
Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Senior Vice President, Software Engineering Senior Vice President, Software Engineering – Decision Stream Engineering Co-Founder Job Description Summary Who is Mastercard? Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all. Overview Decision Stream is Mastercard's next-generation, AI-native decisioning platform designed to deliver intelligent, real-time decisioning across payments, fraud, authentication, and adjacent risk domains. The platform is being built as a startup-style venture within Mastercard, combining the speed and innovation of a product startup with the scale, security, and reach of an enterprise platform. We are seeking an Engineering Co-Founder to lead the engineering vision, architecture execution, talent strategy, and platform delivery for Decision Stream. This leader will partner closely with Product, Architecture, AI, Platform, and Foundry teams to build an industry-leading, cloud-native decisioning platform that redefines how decisions are made across Mastercard's ecosystem. Engineering Leadership & Strategy • Establish and execute the engineering vision for Decision Stream. • Drive engineering priorities, technical investment decisions, and platform evolution. • Create a high-performance culture built on ownership, innovation, accountability, and speed. • Partner with executive leadership to define long-term technology strategy and roadmap. Platform & Architecture • Lead the development of a cloud-native, AI-native decisioning platform capable of operating at Mastercard scale. • Drive architectural decisions across streaming, orchestration, rules execution, AI inference, observability, resiliency, and platform services. • Ensure platform reliability, scalability, security, and operational excellence. • Balance rapid experimentation with enterprise-grade engineering discipline. Talent & Organization • Build and scale world-class engineering teams across platform engineering, AI, distributed systems, and product development. • Develop a lean operating model built around empowered cross-functional pods. Product & Business Partnership • Partner closely with the Product Co-Founder to align engineering investments with customer outcomes and business objectives. • Work collaboratively across Product, Architecture, Foundry, Operations, and AI teams as one integrated leadership team. • Drive a culture where engineering teams own outcomes Execution & Delivery • Lead the platform through MVP validation, commercialization readiness, and scaled adoption. • Establish engineering metrics, governance, and operating rhythms. • Drive rapid iteration cycles focused on learning, experiment