Full-Time
Posted on 7/7/2026
Global payments network and services provider
$142k - $234k/yr
Company Historically Provides H1B Sponsorship
O'Fallon, MO, USA
In Person
Master's
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Mastercard operates a global payments network that enables people and businesses to pay with cards and digital methods. Banks issue Mastercard-branded debit and credit cards, and Mastercard’s network authorizes transactions, clears them between banks, and settles funds, allowing merchants to receive payments securely and quickly. The company differentiates itself by leveraging a worldwide alliance of banks and merchants, transitioning from a cooperative of banks to a publicly traded company via its 2006 IPO, and continuously expanding its reach through partnerships and new payment technologies. Mastercard’s goal is to provide fast, secure, and convenient cross-border payment services and to grow its share of the global payments market by enabling merchants and customers to transact smoothly anywhere in the world.
Company Size
11-50
Company Stage
IPO
Headquarters
Town of Harrison, New York
Founded
2007
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New Parent Leave
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Stablecoins take early lead in AI agent payments. Sun, 23 Aug 2026, 00:26 am UTC Stablecoins take early lead in AI agent payments. Source: photo by panumas nikhomkhai. Artificial intelligence agents could become crypto's next major class of users as payment companies race to build infrastructure that allows software to autonomously purchase data, computing resources and online services. AI agents can perform multi-step tasks for users, but many of those activities require payments. Coinbase, MoonPay, Cloudflare, Circle, Visa and Mastercard are developing systems that give agents controlled access to stablecoins, cards and other payment methods. Stablecoins currently appear to have an early advantage, particularly for machine-to-machine micropayments. Coinbase's x402 protocol has processed more than 165 million payments totaling $50 million. Lincoln Murr, Coinbase's head of AI product, estimates that roughly 99% of those transactions use the USDC stablecoin. Most activity involves AI agents making small payments for API access, data, computing power and digital tools rather than purchasing traditional consumer products. The average transaction across Coinbase's x402 ecosystem is roughly 30 cents, highlighting why stablecoins could be well suited for high-frequency digital commerce. Stablecoins offer several advantages for these transactions. They operate around the clock, work globally and can avoid some of the costs associated with card payments, which Coinbase estimates at 2% to 4%. These characteristics become particularly important when agents are making purchases worth less than a dollar. Discover more Distributed & Cloud Computing Brokerages & Day Trading Merchant Services & Payment Systems However, traditional card networks remain competitive. Mastercard is developing Agent Pay for Machines, while Visa has tested agent-led purchases with DBS. Cards retain significant advantages for larger transactions because they provide established merchant acceptance, credit, refunds and dispute protections. The emerging AI agent payments market will likely use multiple payment rails rather than a single winner. Stablecoins could dominate micropayments between software systems, while cards remain preferable for travel, shopping and other higher-value purchases. For crypto companies, the opportunity does not require replacing traditional payments entirely. If stablecoins become the preferred method for AI agents buying APIs, data and computing services, machines could emerge as one of crypto's most important new user groups. Discover more Financial Markets News Currencies & Foreign Exchange
AI payment agents handle millions while humans maintain control. August 22, 2026 payments ai fintech automation nigeria Curated and edited by Soatdev's AI content generation agents Coupa's recent experience demonstrates the evolving role of artificial intelligence in financial operations. Their Payment Batch Creation Agent processed 2,395 payments totaling $20.1 million across 14 batches in just five weeks - a task that would traditionally require extensive manual effort. Efficiency gains with AI assistance. This highlights a key trend: AI excels at handling repetitive tasks like invoice validation, approval confirmation, and batch creation while humans focus on exceptions or strategic decisions. One customer reportedly saved $2,000 in staff time per week using the agent, which cost only $27 in AI credits to run. Shifting responsibilities in payment workflows. The real story isn't just about speed - it's about how responsibilities are changing. Agents can now handle tasks from invoice validation to identifying early-payment discounts before anyone reviews the transaction. This allows human finance teams to concentrate on higher-value activities like supplier relationship management or strategic sourcing. Building trust in automated systems. As AI takes on more transactional work, ensuring accountability becomes critical. Mastercard and Visa are developing protocols like Verifiable Intent and Trusted Agent Protocols to create tamper-resistant records of what humans authorized agents to do - addressing the need for transparency when things go wrong. Expanding access with open platforms. Coupa is also enabling third-party AI systems to access financial data through standardized connections, allowing businesses to leverage specialized tools without custom integrations. This points toward a future where payment preparation may occur outside traditional software environments while still maintaining auditability and security. Facing this challenge in your organisation?
SNB Group launches Mastercard's World Legend card for Private Banking clients. August 20, 2026 The launch reflects SNB Group's continued commitment to delivering innovative banking solutions and exceptional experiences tailored to the evolving expectations of affluent customers. SNB Group, in collaboration with Mastercard, announced the launch of the SNB World Legend Mastercard, becoming the first financial institution in the Middle East and North Africa to to offer Mastercard's most prestigious card tier to its Private Banking clients. The launch reflects SNB Group's continued commitment to delivering innovative banking solutions and exceptional experiences tailored to the evolving expectations of affluent customers. "The launch of the SNB World Legend Mastercard reflects SNB Group's commitment to continuously advancing innovative banking solutions that elevate customer experience and reinforce our position as a leading financial group in the Kingdom and the region. This milestone forms part of our strategy to deliver differentiated products and personalized services that combine innovation with exclusivity, creating value that extends well beyond traditional banking." - Saud Bajbair, Head of Retail Business Group, SNB Group "At Mastercard, we are committed to turning payments into possibilities by crafting experiences that create lasting connections and value, delivering what matters most to our cardholders. Thanks to our extensive global research, we have an in-depth understanding of the needs and desires of private banking consumers. We are delighted to bring the newly introduced World Legend Mastercard - our new product designed for cardholders that want to enjoy utmost luxury - to SNB's customers." - Adam Jones, Division President, West Arabia, Mastercard SNB World Legend Mastercard sets a new benchmark in luxury payments, offering Private Banking clients a curated ecosystem of exclusive travel, dining, entertainment, investment and lifestyle privileges. Combining the premium global benefits of The Mastercard Collection with 24/7 lifestyle concierge, bespoke travel experiences, international meet-and-greet and airport transfer services, lounge access for cardholders and two guests, fast-track airport services at major hubs worldwide, and access to leading global economic forums in partnership with Bloomberg, the card delivers unparalleled access and exceptional moments tailored to each cardholder's preferences. This launch underscores SNB's commitment to expanding its portfolio of innovative financial solutions that enhance customer experience while supporting the ambitions of Saudi Vision 2030. Through continuously evolving its products and services, the Group remains focused on delivering more flexible, personalized and value-driven banking reinforcing its position as one of the region's leading financial institutions. The TechAfrica News Podcast
Visa and Mastercard join Rain's agentic commerce coalition. Stablecoin payments infrastructure company Rain has formed a group to promote agentic commerce development. The Agentic Payments Alliance (APA) was announced Tuesday (Aug. 18), listing Visa, Mastercard, Fiserv, Circle, Solana and Remitly among its founding members. "No single company should get to decide how agents transact on someone's behalf. That has to come from the platforms building the rails, the regulators setting the rules, and the innovators closest to how agents are actually being used today," Farooq Malik, co-founder and CEO of Rain, said in a news release. "We initiated the Agentic Payments Alliance to put all of these parties in the same room, and to do it now, while the category is still taking shape." The release cites projections from McKinsey estimating between $3 trillion and $5 trillion in global agentic AI commerce by 2030. What's still being defined, Rain said, is the infrastructure that allows that activity: how artificial intelligence agents are authorized, how fraud is detected, and how loyalty and rewards will work. The company said it formed the APA to "bring the people building that infrastructure into the same conversation, before those decisions get made in isolation." Rain says it has spent the last year "building toward this moment," with offerings like including its Agent Control Layer and Scoped Cards, which provide agents with widely accepted payment credentials "that are safe and limited." "That work put Rain in a position to convene founding members across the industry rather than build the category alone," the release said. "The Alliance itself is a working coalition, run collectively by its founding members rather than owned by any one company. Members will set its charter and mission together." The group's early work is expected to involve shared research and frameworks, experimenting with emerging standards for AI agent identity and authorization, and advocating on the regulatory questions raised by agentic commerce, Rain said. PYMNTS wrote earlier this month about how Visa, Mastercard and fellow card giants American Express and Capital One are developing "the rails" for agentic commerce. "Agentic commerce is a when, not an if," Visa CEO Ryan McInerney said during an earnings call. "We're building the products, the services, the protocols, ensuring that the ecosystem has what it takes, and this will happen, and it will be a positive tailwind for Visa."
AI-to-AI Payments: the future of Machine Commerce. For years, digital payments were designed around one assumption: a human is making the purchase. But 2026 is challenging that assumption. AI agents are moving beyond answering questions and generating content. They can now search for services, compare options, trigger workflows, and increasingly participate in transactions. Visa reported in July 2026 that AI agents are already being used in activities such as booking travel, reordering inventory, querying data providers, and buying compute. At the same time, payment networks are actively building infrastructure for this new model. On June 10, 2026, Mastercard launched Agent Pay for Machines for high-frequency, low-value machine transactions, while Visa announced a collaboration with OpenAI to support secure payments in agentic commerce. This brings Bsetec to the next stage of digital commerce: AI does not just recommend what to buy. It can potentially buy it. The Big Change: From Checkout to Continuous Commerce Traditional ecommerce ends after payment. However, AI agents can continuously purchase resources as needed. For example, a logistics agent could automatically pay for freight, warehouse services, tracking, and monitoring. Continuous Commerce: Machines can make frequent, small payments for API Calls, Cloud Computing, AI Inference, Data Access, Storage, Bandwidth, IoT Services, DePIN Resources, and Automated Logistics Why Microtransactions Suddenly Matter Humans are not naturally suited to making thousands of tiny payments. An AI agent is. Imagine an intelligent system that pays: * $0.01 for a data request * $0.05 for an AI inference * $0.20 for additional compute * $1 for a specialized digital service A human would probably prefer a monthly subscription. An AI agent may prefer pay-per-use because it can compare the cost of every transaction in real time. Mastercard's 2026 machine-payment infrastructure specifically targets this type of high-volume, low-value transaction environment. Consequently, AI-to-AI payments could create business models that were previously too expensive or inconvenient to operate manually. The Rise of Payment-Enabled APIs One of the most interesting developments in 2026 is the evolution of HTTP 402-based payment flows. Cloudflare's current agentic-payment documentation describes an architecture where a service can return: 402 Payment Required The response tells the requesting software what needs to be paid, including payment details. The client can then make the payment programmatically and retry the request with payment credentials. This approach is important because it turns an API into something closer to a machine-readable storefront. For example: An AI agent requests premium market data. The server replies: Payment required - $0.10 The agent checks its policy. The agent pays. The server verifies the transaction. The data is delivered. There is no traditional shopping cart. There may not even be an account or pre-shared API key. Cloudflare's x402 documentation specifically describes this model as supporting AI agents and programmatic services without requiring traditional accounts, sessions, or API keys. AI Agents Need Their Own Financial Rules Giving an AI agent access to money sounds powerful. It also sounds dangerous. A production-grade AI payment system cannot simply say: "Here is a wallet. Spend whatever you need." Instead, businesses need controlled autonomy. For example: * Maximum transaction: $20 * Daily spending: $500 * Allowed services: Verified APIs and compute providers * Restricted assets: No unauthorized tokens * Human approval: Required above $100 * Emergency action: Automatically freeze the wallet This creates an important principle: Autonomous does not mean uncontrolled. The AI should make decisions within a clearly defined financial boundary. Identity Becomes as Important as Payment A traditional payment system primarily asks: Who is paying? AI commerce requires additional questions: * Which agent is paying? * Who authorized it? * What is the agent allowed to do? * Which business does it represent? * Can the receiving service trust it? Visa's 2026 work on agentic commerce highlights the growing importance of trust, authentication, and security as AI agents increasingly make purchases and manage transactions. So, future machine-commerce infrastructure is likely to combine: Agent Identity + Authorization + Wallet + Payment + Verification + Monitoring This is one reason blockchain-based identity and programmable wallet infrastructure are attracting attention in agentic commerce. Where Stablecoins Fit Stablecoins can provide AI agents with fast, programmable, global, and low-value payment capabilities. In 2026, Visa and Cloudflare are expanding stablecoin-based infrastructure for agentic commerce. Key Benefits * Fast settlement * Programmable payments * Global transactions * Microtransactions * Blockchain verification * Machine-Commerce Flow AI | Identity | Policy | Wallet | Payment | Settlement | Service AI-to-AI Payment Use Cases AI Compute: Automatically buy GPU resources. Data: Purchase datasets on demand. APIs: Pay per AI service request. DePIN: Buy decentralized infrastructure. Supply Chain: Automate service payments. AI Marketplaces: Agents hire other AI services. AI agents could soon buy capabilities, not just products. What Changes for Businesses? The rise of AI agents means businesses must prepare for AI-driven customers. Instead of serving only people, platforms will need to support machines that can discover, evaluate, and pay for services. Businesses will need AI-readable pricing, API-based services, Automated payments, Agent authentication, Real-time availability, and Smart access controls. The shift: From human-first commerce to human + AI commerce. Where Blockchain Enters the Picture Blockchain can provide the trust and automation layer required for machine transactions. It can handle wallets, programmable payments, smart contracts, and transparent settlement. Key areas include AI-powered wallets, Stablecoin payments, Smart contracts, tokenized services, Decentralized marketplaces, and Agent-to-agent transactions The Bigger Opportunity: AI + Blockchain + Payments + Identity + Security = Machine Commerce Infrastructure How BSEtec Can Help Build the AI-to-AI Payment Layer For businesses exploring this market, the biggest challenge is connecting several technologies into one secure system. This is where BSEtec can bring value. BSEtec can help businesses explore solutions involving AI agents, blockchain networks, crypto wallets, smart contracts, Web3 applications, and programmable payment workflows. For example, a future AI-commerce platform could include: AI Agent, Identity Layer, Policy Engine, Programmable Wallet, Payment Gateway, Blockchain / Stablecoin Settlement, Smart Contract, Service Provider BSEtec can help businesses design and develop the blockchain and Web3 components needed to support such architectures. For organizations entering this space, partnering with an experienced blockchain development company can also help address critical areas such as security, wallet architecture, smart-contract integration, and scalable transaction infrastructure. AI-to-AI Payments: What Comes Next? 2026: AI agents connect with payment systems. 2027: Agent-to-agent marketplaces expand. 2028: Microtransactions grow for APIs and compute. 2029: AI agents manage complex purchases. 2030: Autonomous business networks become more common. Conclusion AI-to-AI payments are reshaping commerce by enabling agents to discover, decide, transact, and pay automatically. As this evolves, businesses will need secure identity, wallets, payment, and blockchain infrastructure. 2026 marks the shift from AI that assists to AI that transacts. The future Human-to-Business | Machine-to-Machine BSEtec helps businesses build secure, blockchain-powered solutions for this emerging machine economy.