{
  "_note": "Illustrative sample produced with the Cheek Job Postings Scan skill. Mastercard is not affiliated with and has not endorsed this material. The live Workday surface claimed about 1,240 open roles; this sample carries 12 representative postings so the file stays readable, with descriptions condensed but structurally complete. Posting URLs are illustrative paths on the real careers domain; requisition ids, dates, and salary ranges are plausible sample values, not scraped data.",
  "company": "Mastercard",
  "scanDate": "2026-08-12",
  "sources": [
    { "surface": "careers.mastercard.com (Workday, mastercard.wd1.myworkdayjobs.com)", "url": "https://careers.mastercard.com", "postingsFound": 1237 },
    { "surface": "LinkedIn Jobs (cross-check)", "url": "https://www.linkedin.com/jobs", "postingsFound": 1102 },
    { "surface": "Indeed (cross-check)", "url": "https://www.indeed.com", "postingsFound": 643 },
    { "surface": "Wayback Machine captures of careers.mastercard.com (dates only)", "url": "https://web.archive.org", "postingsFound": 0 }
  ],
  "statedTotal": 1240,
  "boilerplate": [
    "Our Purpose block: a standard paragraph on every posting describing Mastercard's mission of powering economies and empowering people through a sustainable, inclusive digital economy. Condensed here; flagged per posting and excluded from skill analysis.",
    "Corporate Security Responsibility block: a standard paragraph on every posting requiring all staff to abide by security policies, protect information assets, and complete mandatory security trainings. Condensed here; flagged per posting and excluded from skill analysis.",
    "Equal opportunity and pay transparency block: a standard statement on equal opportunity employment, accommodations, and, on US postings, base salary range plus bonus and benefits language. Condensed here; flagged per posting and excluded from skill analysis."
  ],
  "seniorityLadder": ["Intern", "Entry", "Associate", "Senior", "Lead or Principal", "Manager", "Director", "VP and above"],
  "classifications": ["Engineering", "Data Science", "Product", "Services Consulting"],
  "postings": [
    {
      "title": "Senior Software Engineer, Payments Network",
      "url": "https://careers.mastercard.com/us/en/job/R-245101",
      "source": "careers.mastercard.com (Workday)",
      "location": "O'Fallon, Missouri, United States",
      "workArrangement": "hybrid",
      "employmentType": "full-time",
      "salary": "$115,000 - $184,000 USD",
      "payGrade": "",
      "jobFamilyAsPosted": "Software Engineering",
      "classification": "Engineering",
      "seniority": "Senior",
      "postedDate": "2026-07-08",
      "removedDate": null,
      "traditionalSoftwareSkills": false,
      "traditionalMatches": [],
      "aiSkills": true,
      "aiMatches": ["experience using AI-assisted development tools such as GitHub Copilot or similar in a professional workflow"],
      "descriptionFull": "Condensed for this sample. Overview: the Payments Network engineering team builds and operates the authorization and clearing services that process transactions across more than 200 countries and territories. The role: design, build, and support high-throughput Java services; own components end to end from design review through production support; participate in on-call rotation; drive latency and resilience improvements measured in milliseconds. All about you: 5 or more years building distributed systems in Java or similar; experience with event-driven architectures and relational databases; experience using AI-assisted development tools such as GitHub Copilot or similar in a professional workflow; clear written communication for design documents. [Boilerplate flagged: Our Purpose; Corporate Security Responsibility; equal opportunity and pay transparency.]"
    },
    {
      "title": "Lead Software Engineer, Agentic Commerce",
      "url": "https://careers.mastercard.com/us/en/job/R-245187",
      "source": "careers.mastercard.com (Workday)",
      "location": "New York, New York, United States",
      "workArrangement": "hybrid",
      "employmentType": "full-time",
      "salary": "$138,000 - $221,000 USD",
      "payGrade": "",
      "jobFamilyAsPosted": "Software Engineering",
      "classification": "Engineering",
      "seniority": "Lead or Principal",
      "postedDate": "2026-06-24",
      "removedDate": null,
      "traditionalSoftwareSkills": false,
      "traditionalMatches": [],
      "aiSkills": true,
      "aiMatches": ["designing services that let AI agents transact securely on a consumer's behalf", "familiarity with LLM tool-calling patterns and agent frameworks"],
      "descriptionFull": "Condensed for this sample. Overview: the Agent Pay program is building the credentials and controls that let AI agents transact on a consumer's behalf with the same guarantees the network provides today. The role: lead a squad of five engineers designing services that let AI agents transact securely on a consumer's behalf; define the token lifecycle for agentic payment credentials; partner with product and security architecture on the trust model; set the engineering bar in code review. All about you: 8 or more years in software engineering with 2 leading teams; deep API security experience (OAuth, mTLS, token binding); familiarity with LLM tool-calling patterns and agent frameworks; payments experience preferred. [Boilerplate flagged: Our Purpose; Corporate Security Responsibility; equal opportunity and pay transparency.]"
    },
    {
      "title": "Software Engineer II, Authorization Platform",
      "url": "https://careers.mastercard.com/us/en/job/R-244902",
      "source": "careers.mastercard.com (Workday)",
      "location": "Pune, India",
      "workArrangement": "on-site",
      "employmentType": "full-time",
      "salary": "",
      "payGrade": "",
      "jobFamilyAsPosted": "Software Engineering",
      "classification": "Engineering",
      "seniority": "Associate",
      "postedDate": "2026-07-15",
      "removedDate": null,
      "traditionalSoftwareSkills": false,
      "traditionalMatches": [],
      "aiSkills": false,
      "aiMatches": [],
      "descriptionFull": "Condensed for this sample. Overview: the Pune technology hub owns core services on the authorization platform. The role: implement and test features in Java and Spring; write unit and integration tests to the team's coverage standard; support releases and participate in incident review; contribute to platform observability dashboards. All about you: 2 to 4 years of professional software development in Java; SQL proficiency; experience with CI/CD pipelines; strong debugging discipline. [Boilerplate flagged: Our Purpose; Corporate Security Responsibility; equal opportunity statement.]"
    },
    {
      "title": "Senior Software Engineer, Fraud Decisioning",
      "url": "https://careers.mastercard.com/us/en/job/R-245240",
      "source": "careers.mastercard.com (Workday)",
      "location": "Vancouver, Canada",
      "workArrangement": "hybrid",
      "employmentType": "full-time",
      "salary": "$104,000 - $166,000 CAD",
      "payGrade": "",
      "jobFamilyAsPosted": "Software Engineering",
      "classification": "Engineering",
      "seniority": "Senior",
      "postedDate": "2026-07-29",
      "removedDate": null,
      "traditionalSoftwareSkills": false,
      "traditionalMatches": [],
      "aiSkills": true,
      "aiMatches": ["experience serving machine learning models in real-time, low-latency environments", "exposure to generative AI scoring approaches such as those used in Decision Intelligence Pro"],
      "descriptionFull": "Condensed for this sample. Overview: the fraud decisioning team runs the services behind Decision Intelligence, scoring transactions for fraud risk in real time across the network. The role: build and operate model serving infrastructure with strict latency budgets; experience serving machine learning models in real-time, low-latency environments; collaborate with data science on feature pipelines and model rollout; exposure to generative AI scoring approaches such as those used in Decision Intelligence Pro is valued. All about you: 5 or more years in backend engineering; Kubernetes and streaming platforms (Kafka or similar); performance profiling skills. [Boilerplate flagged: Our Purpose; Corporate Security Responsibility; equal opportunity and pay transparency.]"
    },
    {
      "title": "Data Scientist II, Decision Intelligence",
      "url": "https://careers.mastercard.com/us/en/job/R-245066",
      "source": "careers.mastercard.com (Workday)",
      "location": "O'Fallon, Missouri, United States",
      "workArrangement": "hybrid",
      "employmentType": "full-time",
      "salary": "$97,000 - $155,000 USD",
      "payGrade": "",
      "jobFamilyAsPosted": "Data Science and Analytics",
      "classification": "Data Science",
      "seniority": "Associate",
      "postedDate": "2026-07-02",
      "removedDate": null,
      "traditionalSoftwareSkills": false,
      "traditionalMatches": [],
      "aiSkills": true,
      "aiMatches": ["build, tune, and validate machine learning models for transaction fraud scoring", "hands-on experience with LLMs or generative AI techniques is a plus"],
      "descriptionFull": "Condensed for this sample. Overview: the Decision Intelligence data science team builds the models that score transaction fraud across the network. The role: build, tune, and validate machine learning models for transaction fraud scoring; run champion-challenger evaluations; document model behavior for model risk governance; partner with engineering on deployment. All about you: 2 to 4 years of applied data science; Python and SQL; solid grounding in classification metrics and drift monitoring; hands-on experience with LLMs or generative AI techniques is a plus. [Boilerplate flagged: Our Purpose; Corporate Security Responsibility; equal opportunity and pay transparency.]"
    },
    {
      "title": "Senior Data Scientist, Cyber and Intelligence",
      "url": "https://careers.mastercard.com/us/en/job/R-245312",
      "source": "careers.mastercard.com (Workday)",
      "location": "Dublin, Ireland",
      "workArrangement": "hybrid",
      "employmentType": "full-time",
      "salary": "",
      "payGrade": "",
      "jobFamilyAsPosted": "Data Science and Analytics",
      "classification": "Data Science",
      "seniority": "Senior",
      "postedDate": "2026-08-03",
      "removedDate": null,
      "traditionalSoftwareSkills": false,
      "traditionalMatches": [],
      "aiSkills": true,
      "aiMatches": ["apply machine learning and NLP to large-scale threat intelligence data", "experience with LLM-based entity extraction"],
      "descriptionFull": "Condensed for this sample. Overview: the Cyber and Intelligence organization, including the Recorded Future threat intelligence business, turns global threat data into products for financial institutions. The role: apply machine learning and NLP to large-scale threat intelligence data; build entity resolution across threat actor, malware, and infrastructure records; experience with LLM-based entity extraction preferred; present findings to product and client-facing teams. All about you: 5 or more years applied ML or NLP; Python, Spark; security domain interest; publication or conference experience welcome. [Boilerplate flagged: Our Purpose; Corporate Security Responsibility; equal opportunity statement.]"
    },
    {
      "title": "Director, Product Management, Agent Pay",
      "url": "https://careers.mastercard.com/us/en/job/R-245145",
      "source": "careers.mastercard.com (Workday)",
      "location": "Purchase, New York, United States",
      "workArrangement": "hybrid",
      "employmentType": "full-time",
      "salary": "$165,000 - $264,000 USD",
      "payGrade": "",
      "jobFamilyAsPosted": "Product Management",
      "classification": "Product",
      "seniority": "Director",
      "postedDate": "2026-06-30",
      "removedDate": null,
      "traditionalSoftwareSkills": false,
      "traditionalMatches": [],
      "aiSkills": true,
      "aiMatches": ["define product requirements for agentic payment credentials", "strong working knowledge of how AI agents discover, decide, and transact"],
      "descriptionFull": "Condensed for this sample. Overview: Agent Pay is the program bringing agentic commerce to the network. The role: define product requirements for agentic payment credentials; own the roadmap for consumer controls and issuer enablement; strong working knowledge of how AI agents discover, decide, and transact; represent the product with partners and standards bodies. All about you: 8 or more years in product management, payments or identity preferred; evidence of shipping platform products with ecosystem partners; crisp executive communication. [Boilerplate flagged: Our Purpose; Corporate Security Responsibility; equal opportunity and pay transparency.]"
    },
    {
      "title": "Product Manager, Open Banking",
      "url": "https://careers.mastercard.com/us/en/job/R-244988",
      "source": "careers.mastercard.com (Workday)",
      "location": "New York, New York, United States",
      "workArrangement": "hybrid",
      "employmentType": "full-time",
      "salary": "$110,000 - $176,000 USD",
      "payGrade": "",
      "jobFamilyAsPosted": "Product Management",
      "classification": "Product",
      "seniority": "Manager",
      "postedDate": "2026-07-10",
      "removedDate": null,
      "traditionalSoftwareSkills": true,
      "traditionalMatches": ["strong command of Excel and PowerPoint for executive-ready analysis and storytelling"],
      "aiSkills": false,
      "aiMatches": [],
      "descriptionFull": "Condensed for this sample. Overview: the Open Banking team builds account-based data and payment products for financial institutions and fintechs. The role: manage the connectivity product line; translate partner needs into requirements; run quarterly business reviews with top accounts; strong command of Excel and PowerPoint for executive-ready analysis and storytelling. All about you: 4 to 7 years in product or strategy roles; API product familiarity; comfort with ambiguity across bank and fintech partners. [Boilerplate flagged: Our Purpose; Corporate Security Responsibility; equal opportunity and pay transparency.]"
    },
    {
      "title": "Managing Consultant, Advisors, Strategy and Transformation",
      "url": "https://careers.mastercard.com/us/en/job/R-245203",
      "source": "careers.mastercard.com (Workday)",
      "location": "New York, New York, United States",
      "workArrangement": "hybrid",
      "employmentType": "full-time",
      "salary": "$130,000 - $208,000 USD",
      "payGrade": "",
      "jobFamilyAsPosted": "Services, Advisors and Consulting",
      "classification": "Services Consulting",
      "seniority": "Manager",
      "postedDate": "2026-07-21",
      "removedDate": null,
      "traditionalSoftwareSkills": true,
      "traditionalMatches": ["advanced Excel modeling", "polished PowerPoint deliverables for C-level audiences"],
      "aiSkills": true,
      "aiMatches": ["comfort using generative AI tools to accelerate research and analysis"],
      "descriptionFull": "Condensed for this sample. Overview: Advisors is the consulting arm within Value-Added Services, serving issuers, merchants, and governments. The role: lead engagement workstreams from scoping through delivery; manage two to four consultants; build the fact base with advanced Excel modeling; deliver polished PowerPoint deliverables for C-level audiences; comfort using generative AI tools to accelerate research and analysis is expected. All about you: 6 or more years in consulting or payments strategy; client leadership evidence; travel up to 25 percent. [Boilerplate flagged: Our Purpose; Corporate Security Responsibility; equal opportunity and pay transparency.]"
    },
    {
      "title": "Consultant, Advisors, Performance Analytics",
      "url": "https://careers.mastercard.com/us/en/job/R-245177",
      "source": "careers.mastercard.com (Workday)",
      "location": "Chicago, Illinois, United States",
      "workArrangement": "hybrid",
      "employmentType": "full-time",
      "salary": "$95,000 - $152,000 USD",
      "payGrade": "",
      "jobFamilyAsPosted": "Services, Advisors and Consulting",
      "classification": "Services Consulting",
      "seniority": "Associate",
      "postedDate": "2026-08-05",
      "removedDate": null,
      "traditionalSoftwareSkills": true,
      "traditionalMatches": ["expert-level Excel", "clear PowerPoint storylines"],
      "aiSkills": false,
      "aiMatches": [],
      "descriptionFull": "Condensed for this sample. Overview: Performance Analytics engagements turn network and partner data into portfolio actions for issuers. The role: run analyses on transaction and portfolio data; build expert-level Excel models; draft clear PowerPoint storylines; present findings alongside engagement leads. All about you: 2 to 4 years in analytics or consulting; SQL a plus; structured problem solving; strong client presence. [Boilerplate flagged: Our Purpose; Corporate Security Responsibility; equal opportunity and pay transparency.]"
    },
    {
      "title": "Senior Analyst, Test and Learn, Data and Services",
      "url": "https://careers.mastercard.com/us/en/job/R-245055",
      "source": "careers.mastercard.com (Workday)",
      "location": "New York, New York, United States",
      "workArrangement": "hybrid",
      "employmentType": "full-time",
      "salary": "$85,000 - $136,000 USD",
      "payGrade": "",
      "jobFamilyAsPosted": "Services, Advisors and Consulting",
      "classification": "Services Consulting",
      "seniority": "Senior",
      "postedDate": "2026-06-18",
      "removedDate": null,
      "traditionalSoftwareSkills": true,
      "traditionalMatches": ["proficiency in Excel"],
      "aiSkills": true,
      "aiMatches": ["familiarity with AI-powered analytics tools is a plus"],
      "descriptionFull": "Condensed for this sample. Overview: Test and Learn is the experimentation platform clients use to measure in-market business decisions. The role: design and analyze client experiments; validate results in the platform; support client trainings; proficiency in Excel required; familiarity with AI-powered analytics tools is a plus. All about you: 3 or more years in analytics; statistics fundamentals (test vs control, significance); client-facing polish. [Boilerplate flagged: Our Purpose; Corporate Security Responsibility; equal opportunity and pay transparency.]"
    },
    {
      "title": "Software Engineering Intern, Launch Program 2027",
      "url": "https://careers.mastercard.com/us/en/job/R-245399",
      "source": "careers.mastercard.com (Workday)",
      "location": "O'Fallon, Missouri, United States",
      "workArrangement": "on-site",
      "employmentType": "intern",
      "salary": "",
      "payGrade": "",
      "jobFamilyAsPosted": "Software Engineering",
      "classification": "Engineering",
      "seniority": "Intern",
      "postedDate": "2026-08-01",
      "removedDate": null,
      "traditionalSoftwareSkills": false,
      "traditionalMatches": [],
      "aiSkills": false,
      "aiMatches": [],
      "descriptionFull": "Condensed for this sample. Overview: the Launch internship places students on product engineering teams at the O'Fallon technology hub for summer 2027. The role: contribute production code with a mentor; present a capstone to hub leadership; join structured learning sessions across the payments stack. All about you: pursuing a computer science or related degree, graduating December 2027 or later; coursework or projects in Java, Python, or C++; curiosity about payments. [Boilerplate flagged: Our Purpose; Corporate Security Responsibility; equal opportunity statement.]"
    }
  ]
}