Mastercard

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 Manager, Software Engineering Position Overview We are seeking an experienced Engineering Manager to lead a backend and data-oriented product engineering team. This role is responsible for building and developing a strong engineering team while driving the delivery of customer-facing and platform capabilities from product definition through design, implementation, deployment, and production ownership. The ideal candidate combines strong software engineering and distributed-systems expertise with proven people leadership, product thinking, and the ability to lead complex initiatives end-to-end in close partnership with Product. Key Responsibilities Lead, mentor, and develop a team of engineers, fostering ownership, collaboration, and continuous improvement. Partner with Product to define priorities, shape solutions, and execute the team’s product and technical roadmap. Drive end-to-end delivery of product capabilities, from requirements and technical design through implementation, deployment, and production ownership. Lead architecture and technical design for scalable, reliable backend and data-intensive systems. Balance product delivery with technical quality, maintainability, reliability, and technical debt. Drive strong engineering practices including code quality, testing, observability, CI/CD, and production readiness. Manage prioritization, capacity, execution risks, and predictable delivery of strategic initiatives. Collaborate with Backend, Data Engineering, Analytics, DevOps, and other product teams on cross-team initiatives. Own recruitment, onboarding, performance management, feedback, and career development. Ensure the team learns from production incidents and continuously improves system reliability. Required Qualifications Bachelor’s degree in Computer Science, Engineering, or a related field 7+ years of software engineering experience. 2+ years of direct engineering management experience. Strong backend software engineering and system-design experience. Experience designing and operating distributed, production-scale systems. Hands-on experience with modern data technologies and frameworks such as Kubernetes, Kafka, Spark, Flink, Airflow, DBT, Snowflake, Cassandra/ScyllaDB, or similar technologies Strong programming background in Java, Scala, Python, or similar. Experience with cloud environments and modern software delivery practices. Experience with data-intensive systems, event-driven architectures, or data pipelines. Strong understanding of reliability, observability, testing, and production operations. Strong product mindset and demonstrated ability to partner effectively with Product Management. Proven ability to lead complex initiatives and deliver customer or business outcomes. Preferred Qualifications • Exposure to UCP (Universal Commerce Protocol) or similar interoperability standards for AI agents and payment ecosystems is a bonus. • Experience working in an eCommerce or digital commerce environment is a strong advantage. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: • Abide by Mastercard’s security policies and practices; • Ensure the confidentiality and integrity of the information being accessed; • Report any suspected information security violation or breach, and • Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

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 Assistant Controller 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. Dynamic Yield by Mastercard is on the lookout for an Assistant Controller. The Task-at-Hand: • Responsible for the company’s worldwide revenue, monitor revenue streams, contracts and agreements and ensuring accurate and appropriate revenue recognition in line with accounting policies. Manage the monthly close process related to revenue, analytical review and other related procedures. • Monitor the billing and collections team, including proactively driving collection efforts, escalating overdue accounts when needed, partnering with Sales teams to push for timely payments, tracking collection risks, and ensuring adherence to the company's collections policy. • Managing the entities worldwide (USA, Latvia and Germany) - overseeing accounting functions, monthly reporting packages, monthly close process and some payroll aspects. • Coordinating and/or preparing tax schedules, VAT returns, tax returns and other statutory reports in local GAAP for all entities. • Manage audit preparation and coordinate with external auditors as needed. • Ad Hoc integration projects. Optimal Skills for Success: • CPA certification • Experience in the preparation of financial reports based on US GAAP • Strong EXCEL experience • High level of English • Ability to work in a fast-paced work environment • Attention to details • Well-organized with the ability to prioritize • Self-learner with the ability to adapt to changing business needs and technologies • Team player Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: • Abide by Mastercard’s security policies and practices; • Ensure the confidentiality and integrity of the information being accessed; • Report any suspected information security violation or breach, and • Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

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 Security Engineering & Operations Team Lead Overview Mastercard Dynamic Yield is seeking an experienced Security Engineering & Operations Team Lead to lead the implementation and operation of security capabilities across our products, cloud platforms, software supply chain, and AI-enabled systems. This role combines our existing DevSecOps responsibilities with broader security engineering, cloud and application security, AI security, and security operations. You’ll lead a team responsible for embedding security into the engineering lifecycle, automating preventive and detective controls, strengthening our security posture, and supporting technical incident response. Working closely with Corporate Security, Product Security, Engineering, and DevOps, you’ll translate security requirements into scalable technical solutions that enable secure innovation and business growth. *Role* Lead a team of security engineers responsible for DevSecOps, security engineering, and security operations across production and engineering environments. Design, implement, and operate security controls across AWS, Kubernetes, applications, CI/CD pipelines, software dependencies, and AI-enabled systems. Drive application and software supply chain security, including vulnerability management, security scanning, secrets protection, and artifact integrity. Strengthen cloud security, identity and access management, data protection, network security, and runtime protection capabilities. Develop and operationalize AI security guardrails, monitoring, and secure integration patterns in partnership with Corporate Security. Lead or support security incident response, threat detection, investigation, containment, and recovery. Partner with Corporate Security, Product Security, and engineering teams on security architecture, threat modeling, risk remediation, and technical security assessments. Automate security controls and continuously improve security capabilities, operational effectiveness, and compliance evidence. Mentor and coach team members, fostering technical excellence, ownership, and professional growth. *Optimal Skills for Success* - At least 4 years of experience in a DevOps, DevSecOps, security engineering, or security operations leadership role, with a strong focus on production systems. - A degree in Computer Science or a related discipline, relevant military experience, or an equivalent technical background. - Proven experience securing and operating production environments on AWS, including cloud-native infrastructure and Kubernetes. - Strong understanding of application security, secure SDLC practices, software supply chain security, and vulnerability management. - Proficiency in one or more programming languages, such as Go, JavaScript, TypeScript, or Python, with experience automating security capabilities. - Experience with CI/CD platforms such as GitHub Actions, infrastructure as code such as Terraform or CloudFormation, and security tooling integration. - Familiarity with security monitoring, detection and response, incident management, and observability tools such as Prometheus and Grafana. - Understanding of identity and access management, encryption, secrets management, network security, and cloud security controls. - Ability to collaborate effectively with Corporate Security, Product Security, Engineering, DevOps, and other cross-functional teams. - Demonstrated leadership, project ownership, prioritization, and the ability to translate security requirements into practical, scalable engineering solutions. Join us at Mastercard Dynamic Yield to lead the evolution of our security engineering and operations capabilities, protect our products and infrastructure, and enable secure innovation across cloud, software, and AI. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: • Abide by Mastercard’s security policies and practices; • Ensure the confidentiality and integrity of the information being accessed; • Report any suspected information security violation or breach, and • Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

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 Technical Program Manager We are looking for a Senior Technical Program Manager to help drive execution, alignment, and delivery across Dynamic Yield’s Product House organization. This role sits at the intersection of Product, R&D, and leadership, ensuring that strategy is translated into clear, realistic, and executable plans. The Senior Technical Program Manager will lead complex cross-functional programs, enable quarterly planning and execution cadences, manage dependencies and risks, and create transparency through dashboards, KPIs, and operating rhythms. In this role, the candidate will join a team of Technical Program Managers who work in close coordination, share methodologies, and continuously improve common practices across the organization. The ideal candidate brings strong technical understanding, structured program leadership, excellent stakeholder management, and the ability to move teams from ambiguity to accountable execution. Role • Translate strategy into execution: Partner with Product and R&D to convert product strategy, technical initiatives, and other priorities into clear quarterly execution plans. • Lead quarterly planning: Facilitate planning timelines, deliverables, ownership, dependencies, and risks across Product Area teams. • Drive cross-functional alignment: Align Product and R&D Directors, Architects, DevOps, Security, and leadership around shared priorities, scope, timelines, and tradeoffs. • Manage dependencies and risks: Identify cross-product and technical dependencies early, surface delivery risks, drive mitigation plans, and ensure leadership has the visibility needed to make timely decisions. • Create execution transparency: Establish dashboards, reporting mechanisms, and operating cadences that provide visibility into progress, delivery confidence, blockers, and outcomes. • Improve ways of working: Help mature Agile operating model, planning templates, ceremonies, and delivery governance to improve predictability, accountability, quality, and business impact. • Support backlog health: Partner with Product and R&D to ensure quarterly backlogs are prioritized, refined, estimated, technically aligned, and executable within team capacity. • Facilitate decision-making: Bring structure to complex discussions, clarify ownership, document decisions, and ensure follow-through on action items. • Enable value-driven delivery: Connect execution plans to measurable business, technical, and customer outcomes, including quality, productivity, engagement, velocity, and customer value. • Communicate effectively: Prepare concise, executive-ready updates, program reviews, status reports, retrospectives, and planning materials for Product House and senior leadership forums. All About You • 4+ years of experience in technical program management, program management, or a related role within a software or SaaS organization. • Strong understanding of software development lifecycle, Agile delivery, quarterly planning, backlog management, and cross-functional execution. • Proven ability to manage complex technical programs involving multiple teams, dependencies, stakeholders, and competing priorities. • Experience working closely with Product, R&D, Architecture, DevOps, Security, and senior leadership. • Ability to understand technical concepts, architectural tradeoffs, engineering constraints, and delivery risks, and translate them into clear business and execution implications. • Excellent facilitation, communication, and stakeholder management skills, with the ability to influence without authority. • Strong analytical and operational mindset, including experience with KPIs, dashboards, delivery metrics, risk tracking, and executive reporting. • Comfort operating in ambiguity, creating structure, and driving teams toward clear ownership, decisions, and outcomes. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: • Abide by Mastercard’s security policies and practices; • Ensure the confidentiality and integrity of the information being accessed; • Report any suspected information security violation or breach, and • Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

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 AI Tech Lead Job Description Summary We are seeking an experienced AI Tech Lead to lead the design and development of scalable backend systems and production-grade AI applications. This is a hands-on technical leadership role combining deep Python/backend engineering expertise with proven experience building and deploying GenAI applications and AI agents used by end users in production. You will shape the architecture of our AI-powered products, build scalable backend services and agentic AI solutions, and lead engineers in delivering reliable, high-performance systems at scale. Key Responsibilities Backend & Technical Leadership Lead the architecture and development of scalable Python backend systems, services, and APIs. Design distributed systems and microservices with a focus on performance, scalability, reliability, and security. Remain hands-on with architecture, coding, code reviews, and complex technical problem-solving. Define engineering best practices across backend and AI development. AI & Agentic Engineering Design and build production-grade GenAI applications and AI agents used by end users. Build agentic workflows including LLM orchestration, tool calling, context management, memory, and service integrations. Integrate LLMs and other AI models into scalable production applications. Build solutions using technologies such as Amazon Bedrock, OpenAI, LangChain, and LangGraph. Implement LLM evaluation, tracing, monitoring, and observability. Optimize AI solutions for quality, latency, reliability, scalability, and cost. Take AI capabilities from experimentation and POC through to production and end-user adoption. Team Leadership & Delivery Lead, mentor, and provide technical guidance to backend and/or full-stack engineers. Partner with Product, AI/Data, DevOps, and Architecture teams to define and deliver technical solutions. Drive complex projects from design through deployment and production monitoring. Foster a strong engineering culture focused on ownership, innovation, and quality. Required Qualifications 8+ years of software engineering experience with strong backend development expertise. Strong hands-on Python experience, particularly building production backend services and applications. 2+ years in a technical leadership or Tech Lead role. Proven experience designing large-scale distributed systems and microservices. Hands-on experience building and deploying GenAI applications and AI agents in production. Experience taking LLM/agentic solutions beyond POC into applications used by end users. Experience with LLMs, agent orchestration, tool calling, context management, and AI/backend integrations. Experience with Amazon Bedrock, OpenAI, LangChain, LangGraph, or similar technologies. Understanding of production AI considerations including evaluation, observability, latency, reliability, scalability, and cost. Experience with cloud platforms, preferably AWS, as well as Docker and Kubernetes. Strong system design and problem-solving skills. Preferred Qualifications Experience with multi-step or multi-agent AI systems. Experience with LLM evaluation and observability tools such as Langfuse. Experience with RAG, retrieval systems, embeddings, or vector search. Experience with real-time data technologies such as Kafka, Spark, or Flink. Experience with Node.js alongside Python. Tech Stack Backend: Python, Node.js AI: Amazon Bedrock, OpenAI, LangChain, LangGraph, Langfuse Data: PostgreSQL, Redis, DynamoDB, Snowflake Infrastructure: AWS/GCP, Docker, Kubernetes Streaming: Kafka CI/CD: GitHub Actions Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: • Abide by Mastercard’s security policies and practices; • Ensure the confidentiality and integrity of the information being accessed; • Report any suspected information security violation or breach, and • Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.