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 Director of AI Engineering Overview Mastercard is seeking a Director of AI Engineering to lead a specialised team of AI engineers focused on foundation model development and the delivery of high-value AI use cases. This role is responsible for driving the practical application of transformer-based and generative AI capabilities-ensuring models are effectively developed, adapted, and deployed to solve real business problems. You will lead a team working at the intersection of model development and use case execution, translating foundational AI capabilities into scalable, production-ready solutions. The role requires strong technical judgement, delivery leadership, and the ability to balance innovation with enterprise requirements for reliability, security, and governance. Role In this role, you will lead a team responsible for developing and applying foundation model capabilities to priority use cases. Key responsibilities include: Lead a team of AI engineers focused on foundation model development, fine-tuning, and optimisation, particularly transformer-based and generative AI systems Drive the end-to-end delivery of AI use cases, from problem definition through model integration and production deployment Partner with product and business stakeholders to identify and prioritise high-impact AI use cases, translating them into clear technical execution plans Ensure effective use of foundation models across use cases, including prompting strategies, embeddings, fine-tuning, evaluation, and performance optimisation Collaborate with data engineering and platform teams to ensure data readiness, model integration, and scalable deployment patterns Establish best practices for model evaluation, experimentation, and continuous improvement, ensuring solutions are robust and measurable Embed responsible AI practices, including model validation, bias considerations, and appropriate guardrails Provide technical guidance and coaching to engineers, ensuring high standards in both AI development and software engineering practices Track delivery progress, manage risks, and ensure timely, high-quality execution of use cases aligned to program priorities All About You Proven experience leading teams delivering AI/ML solutions in production, particularly in use-case driven environments Strong hands-on understanding of transformer architectures and generative AI, including fine-tuning, prompting, embeddings, and evaluation Experience bridging model development and real-world application, translating AI capabilities into business impact Solid engineering background, with familiarity in Python, ML frameworks (e.g. PyTorch/TensorFlow), and production deployment patterns Experience working with data engineering and MLOps practices to support training, evaluation, and inference at scale Strong stakeholder management skills, with the ability to align technical delivery to business priorities and measurable outcomes Demonstrated ability to lead and develop high-performing teams, providing technical direction, coaching, and delivery oversight Comfortable operating in a fast-moving, evolving AI landscape with ambiguity and shifting priorities Excellent communication skills, able to articulate complex AI concepts to both technical and non-technical audiences 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.

• As an AI Product Engineer (m/f/d), you combine product thinking, technical understanding, and AI-assisted software development. • You understand customer problems, actively shape solutions, and use AI as a productive development partner — taking full responsibility for quality, architecture, and customer value. • You close the gap between product-oriented, entrepreneurial thinking and technical implementation, bringing solutions from concept to technical realization. • You drive the product’s AI-first evolution, steer the development process, review results, and ensure the right code is written for the right problem. • You create viable solution concepts together with product management and stakeholders — you think in terms of problems and solutions, not tickets. • You guide AI-coding agents such as Claude Code, Cursor, or Codex through the full development process: precise prompts, meaningful task decomposition, and iterative improvement. • You critically evaluate AI-generated code for security, maintainability, performance, and architectural fit, and perform code reviews. • You rapidly build prototypes and MVPs, gather early feedback, and validate assumptions before investing major effort. • You ensure technical quality despite high delivery speed — using tests, acceptance criteria, and CI/CD. • You assess technical feasibility and cost–benefit ratios to provide product management with a solid basis for prioritization decisions. • In addition, you continuously improve our AI-supported development processes and share your knowledge within the team.

Luxury Presence is building the AI growth platform for real estate. Backed by Bessemer Venture Partners and other top investors, we're a Series C company that has hit $100M in annual recurring revenue. More than 90,000 real estate professionals, including over 30% of the WSJ Real Trends top 100 agents in the United States, use us to run and grow their business. The OpportunityWe don't just use AI. We build with it, ship with it, and think with it. We're in the top 1% of companies applying AI effectively, not just to our products, but to how we build them. With an unlimited budget for Anthropic tokens, our engineers use AI agents to write, review, and ship production code every day. We're building toward a world where humans design systems and AI builds them, and we're already further along that path than almost anyone else. As a Staff Software Engineer, you'll be a technical leader at the center of this transformation. You'll shape platform architecture, drive AI-powered product delivery, and raise the bar for what a small, AI-augmented engineering team can accomplish. This is a role for someone who already lives in their terminal with AI, who has strong opinions about how AI changes system design, and who wants to help define what a next-generation engineering organization looks like. What You'll DoDrive large-scale technical initiatives. You'll take complex, cross-functional projects from concept through production, aligning architecture decisions with business goals and shipping outcomes that matter. Ship AI-native product experiences. Working closely with product, design, and AI teams, you'll deliver intelligent features that leverage LLMs, agent frameworks, and real-time data to transform how real estate professionals run their businesses. Lead system design in an AI-native codebase. You'll own the architecture of critical platform capabilities, from our AI-powered site builder pipeline to our multi-tenant infrastructure serving thousands of real estate businesses. You'll set patterns that other engineers follow. Define how we build, not just what we build. You'll shape our engineering standards, review practices, and developer tooling. You'll have a direct hand in evolving how AI agents integrate into our development workflow. Mentor and elevate engineers across the org. Staff Engineers at LP are force multipliers. You'll raise the technical bar across teams, coach engineers through hard design problems, and influence career growth. What We're Looking ForAttributes - You already build with AI daily. You use Claude Code as a core part of your workflow, not as a novelty - You have strong opinions, loosely held, about how AI changes software architecture, team structure, and engineering culture - You think in systems. You connect technical decisions to customer outcomes and long-term business value - You communicate clearly and directly. You can explain complex tradeoffs to product, design, and executive stakeholders - You're energized by ambiguity and speed. You thrive in a fast-growing company where the roadmap evolves and ownership is real - You like to have fun at work. We take our craft seriously, but we don't take ourselves too seriously. We celebrate wins, crack jokes, and genuinely enjoy building together Skills and Experience - 8+ years of professional software engineering experience, with meaningful time in senior or staff-level roles - Deep expertise in TypeScript, Node.js, and React - Experience designing and operating scalable microservice architectures in cloud-native environments (AWS preferred) - Strong understanding of GraphQL, event-driven systems (Kafka, SQS), and distributed databases (PostgreSQL, DynamoDB, Elasticsearch) - Proven track record leading high-impact initiatives from concept through production in a SaaS environment - Expert-level grasp of software design principles and experience with multi-tenant platform architectures Tech Stack - Frontend: React, Tailwind, Apollo - Backend: Node/TypeScript Microservices - Data: Postgres, Redis, Elasticsearch - Infrastructure: AWS, Kubernetes, Lambda, Temporal - Messaging: Kafka, SQS Join us in shaping the future of real estate The real estate industry is in the midst of a seismic shift, and the future belongs to those who break new ground. As one of the fastest-growing companies in the proptech and marketing sectors, Luxury Presence challenges the status quo of what technology can do for real estate agents, leaders, and brokerages. We're a team of agile and tenacious innovators working collaboratively to drive the industry forward. Together, we build game-changing products that empower modern real estate entrepreneurs to dominate their markets. From award-winning web design to agile SEO solutions to cutting-edge AI tools, we deliver tech that anticipates market shifts and keeps our clients ahead of their competition. Founded in 2016 by Stanford Business School alum Malte Kramer, Luxury Presence has grown to a global team ranked on the Inc. 5000 fastest-growing companies list three years in a row. We're backed by world-class investors, including Bessemer Venture Partners, NextEquity Partners, Toba Capital, and Switch Ventures, and have raised $89 million to date. More than 18,000 real estate businesses rely on our platform, including 30% of the Wall Street Journal RealTrends top agents and teams. Additionally, many of the industry's most powerful brokerages rely on Luxury Presence as a trusted business partner. Every year since 2020, Luxury Presence has ranked on BuiltIn's Best Place to Work lists. HousingWire named our founder and CEO a 2024 Tech Trendsetter, we've received several Tech100 Awards, and we just scored an Inman Innovation Award for Best AI-Powered Platform. Luxury Presence is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.

• Drive large-scale technical initiatives • Ship AI-native product experiences • Lead system design in an AI-native codebase • Define how we build, not just what we build • Mentor and elevate engineers across the org