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, Software Engineering Director, Software Engineering Overview: 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 realise 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 The CNPF Data & AI organisation is looking for a "Director, Software Engineering" to drive hands on delivery of applied AI and agentic capabilities; building the Mastercard Virtual C-Suite products. You will lead by example through deep hands on engineering, influence technical direction, and partner closely with Applied AI, Data Science, and Product teams to take agentic solutions from experimentation to secure, scalable production. The Director, Software Engineering is responsible for defining and delivering the engineering strategy for next-generation agentic applications, reusable agent frameworks, and enterprise AI enablement capabilities. This leader will build and scale software platforms where agents operate as intelligent personas, embedded product capabilities, and orchestrated digital workers that solve meaningful customer and enterprise problems. The role requires a strong engineering leader who can translate emerging AI and agentic concepts into secure, reliable, observable, and production-grade systems, while also accelerating AI tooling adoption and modern engineering practices across the organization. What We Are Looking For We Relentlessly Care About the What and About the How• You make sound decisions with incomplete information, take ownership of outcomes, and adapt as circumstances evolve: Comfort with ambiguity• The standards are high and the scope is broad. You pursue depth with genuine intellectual curiosity and apply rigorous judgment about where that depth is most needed: Curiosity and prioritization• You invest in your teammates. You share what you learn. You measure your contribution by the strength of the team, not only by individual performance: Giver's mindset• You understand that the strength of this team is inseparable from the diversity of thought, background, and experience each member brings. You contribute to a culture where different perspectives are actively sought, and where collective resilience matters as much as individual excellence: Cultural fit and team spirit Key Responsibilities• Define and lead the engineering vision for agentic applications, agent frameworks, and reusable AI platform capabilities that can be adopted across multiple products and teams.• Build and scale engineering teams that create agents as product capabilities, agent personas for targeted workflows, and orchestration layers that support multi-step reasoning, tool use, and action execution.• Drive the architecture and delivery of production-grade agentic systems, including context management, memory, tool integration, workflow orchestration, observability, evaluation, and safety guardrails.• Establish a common agentic engineering framework that standardizes how teams design, build, test, deploy, monitor, and improve intelligent agents at enterprise scale.• Partner with Product, Data Science, Security, Risk, and Platform teams to identify high-value use cases and translate them into scalable software solutions.• Lead the adoption of AI-assisted engineering and developer tooling that improves productivity, code quality, speed of experimentation, and software delivery outcomes.• Shape platform capabilities for agent lifecycle management, prompt and instruction management, model access, retrieval integration, policy enforcement, telemetry, and feedback loops.• Drive engineering excellence across architecture, coding standards, testing, release governance, reliability, incident response, and cost-aware operations for AI-native systems.• Define measurable success criteria for agentic products and platforms, including adoption, quality, accuracy, latency, resilience, developer experience, and business impact.• Create reusable patterns, reference architectures, and golden paths that enable teams to move from experimentation to governed production delivery faster.• Represent engineering leadership in executive reviews and cross-functional forums, clearly communicating technical trade-offs, delivery progress, risks, and strategic opportunities. Qualifications• Extensive experience leading software engineering organizations, including managers and multiple cross-functional teams, in product, platform, or enterprise technology environments.• Strong track record of building scalable, secure, resilient distributed systems and cloud-native platforms used across multiple teams or business domains.• Hands-on experience building or scaling Generative AI, LLM-powered applications, AI agents, workflow automation, or adjacent intelligent software systems.• Deep understanding of agentic engineering concepts such as tool calling, orchestration, planning, memory, context handling, retrieval, evaluation, observability, and human-in-the-loop controls.• Experience creating reusable engineering frameworks, platform services, or internal developer capabilities that accelerate enterprise adoption of modern technologies.• Strong software engineering foundation across modern application architectures, APIs, microservices, event-driven systems, and cloud platforms such as AWS, Azure, or Kubernetes-based environments.• Demonstrated ability to balance innovation with governance, including security, privacy, reliability, risk management, and responsible AI practices.• Experience driving AI tooling adoption or engineering productivity initiatives that improve developer effectiveness and software delivery outcomes.• Strong executive communication and stakeholder management skills, with the ability to influence strategy and explain complex technical trade-offs clearly.• Bachelor's degree in Computer Science, Software Engineering, or a related technical field; advanced degree preferred. All About You The ideal candidate is a strong technical and organizational leader who can connect strategy, platform thinking, and hands-on engineering execution. You are energized by building the foundations for agentic software systems and turning AI capabilities into practical, secure, and scalable products. You understand that agents are not only assistants, but can also be designed as personas, workflow participants, and product capabilities that must be governed, measured, and continuously improved. You bring a strong bias for action, sound engineering judgment, and the ability to build high-performing teams that move quickly without compromising quality, trust, or enterprise standards. You are equally comfortable shaping long-term platform direction, guiding architecture and delivery decisions, and enabling broad AI adoption through strong tooling, patterns, and developer experience. 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 Director, Software Engineering Director, Software Engineering Overview: 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 realise 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 The CNPF Data & AI organisation is looking for a "Director, Software Engineering" to drive hands on delivery of applied AI and agentic capabilities; building the Mastercard Virtual C-Suite products. You will lead by example through deep hands on engineering, influence technical direction, and partner closely with Applied AI, Data Science, and Product teams to take agentic solutions from experimentation to secure, scalable production. The Director, Software Engineering is responsible for defining and delivering the engineering strategy for next-generation agentic applications, reusable agent frameworks, and enterprise AI enablement capabilities. This leader will build and scale software platforms where agents operate as intelligent personas, embedded product capabilities, and orchestrated digital workers that solve meaningful customer and enterprise problems. The role requires a strong engineering leader who can translate emerging AI and agentic concepts into secure, reliable, observable, and production-grade systems, while also accelerating AI tooling adoption and modern engineering practices across the organization. What We Are Looking For We Relentlessly Care About the What and About the How• You make sound decisions with incomplete information, take ownership of outcomes, and adapt as circumstances evolve: Comfort with ambiguity• The standards are high and the scope is broad. You pursue depth with genuine intellectual curiosity and apply rigorous judgment about where that depth is most needed: Curiosity and prioritization• You invest in your teammates. You share what you learn. You measure your contribution by the strength of the team, not only by individual performance: Giver's mindset• You understand that the strength of this team is inseparable from the diversity of thought, background, and experience each member brings. You contribute to a culture where different perspectives are actively sought, and where collective resilience matters as much as individual excellence: Cultural fit and team spirit Key Responsibilities• Define and lead the engineering vision for agentic applications, agent frameworks, and reusable AI platform capabilities that can be adopted across multiple products and teams.• Build and scale engineering teams that create agents as product capabilities, agent personas for targeted workflows, and orchestration layers that support multi-step reasoning, tool use, and action execution.• Drive the architecture and delivery of production-grade agentic systems, including context management, memory, tool integration, workflow orchestration, observability, evaluation, and safety guardrails.• Establish a common agentic engineering framework that standardizes how teams design, build, test, deploy, monitor, and improve intelligent agents at enterprise scale.• Partner with Product, Data Science, Security, Risk, and Platform teams to identify high-value use cases and translate them into scalable software solutions.• Lead the adoption of AI-assisted engineering and developer tooling that improves productivity, code quality, speed of experimentation, and software delivery outcomes.• Shape platform capabilities for agent lifecycle management, prompt and instruction management, model access, retrieval integration, policy enforcement, telemetry, and feedback loops.• Drive engineering excellence across architecture, coding standards, testing, release governance, reliability, incident response, and cost-aware operations for AI-native systems.• Define measurable success criteria for agentic products and platforms, including adoption, quality, accuracy, latency, resilience, developer experience, and business impact.• Create reusable patterns, reference architectures, and golden paths that enable teams to move from experimentation to governed production delivery faster.• Represent engineering leadership in executive reviews and cross-functional forums, clearly communicating technical trade-offs, delivery progress, risks, and strategic opportunities. Qualifications• Extensive experience leading software engineering organizations, including managers and multiple cross-functional teams, in product, platform, or enterprise technology environments.• Strong track record of building scalable, secure, resilient distributed systems and cloud-native platforms used across multiple teams or business domains.• Hands-on experience building or scaling Generative AI, LLM-powered applications, AI agents, workflow automation, or adjacent intelligent software systems.• Deep understanding of agentic engineering concepts such as tool calling, orchestration, planning, memory, context handling, retrieval, evaluation, observability, and human-in-the-loop controls.• Experience creating reusable engineering frameworks, platform services, or internal developer capabilities that accelerate enterprise adoption of modern technologies.• Strong software engineering foundation across modern application architectures, APIs, microservices, event-driven systems, and cloud platforms such as AWS, Azure, or Kubernetes-based environments.• Demonstrated ability to balance innovation with governance, including security, privacy, reliability, risk management, and responsible AI practices.• Experience driving AI tooling adoption or engineering productivity initiatives that improve developer effectiveness and software delivery outcomes.• Strong executive communication and stakeholder management skills, with the ability to influence strategy and explain complex technical trade-offs clearly.• Bachelor's degree in Computer Science, Software Engineering, or a related technical field; advanced degree preferred. All About You The ideal candidate is a strong technical and organizational leader who can connect strategy, platform thinking, and hands-on engineering execution. You are energized by building the foundations for agentic software systems and turning AI capabilities into practical, secure, and scalable products. You understand that agents are not only assistants, but can also be designed as personas, workflow participants, and product capabilities that must be governed, measured, and continuously improved. You bring a strong bias for action, sound engineering judgment, and the ability to build high-performing teams that move quickly without compromising quality, trust, or enterprise standards. You are equally comfortable shaping long-term platform direction, guiding architecture and delivery decisions, and enabling broad AI adoption through strong tooling, patterns, and developer experience. 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.

• KnowBe4's Platform Services group builds the infrastructure that every product team depends on. As a Software Engineering Manager, you own the team that shapes that foundation. • You'll lead at the intersection of identity, platform reliability, and building and growing the engineers who solve problems with direct impact on every engineer and every customer at KnowBe4. • The messaging and events platform your team owns underpins bespoke email delivery, event publish and subscribe (pub/sub, the pattern where services broadcast events and other services subscribe to the ones they care about), and outbound notification delivery across Microsoft Teams, Slack, Google Chat, and other channels for the entire KnowBe4 product suite. • Decisions made here ripple across every engineering team at KnowBe4 and the inboxes and channels of a global customer base.

Vice President, Engineering Location: Remote (US-based preferred) Department: Engineering Reports To: Daniel Rust, CTO About DevHub DevHub is a marketing technology platform headquartered in Seattle, WA. We build enterprise-grade CMS solutions that help businesses create, host, manage, and optimize their websites at scale. We combine powerful technology with hands-on service - and that combination is what sets us apart in the MarTech space. We're a lean, focused team. Everyone here has real ownership and real impact. About the Role We're hiring a VP of Engineering to lead and grow our Engineering and DevOps functions. This is a player-coach role — you'll set technical direction, own the software development lifecycle, and roll up your sleeves on architecture and process when it matters. You'll report to the CTO and hold a key seat on our leadership team, collaborating closely with the VP of Customer Success and VP of Operations to align engineering output with business outcomes. This is not a role for someone who wants to manage from a distance. It's a role for someone who wants to build something. What You'll Do Engineering Leadership - Own the engineering roadmap in partnership with the CTO, balancing new feature development, platform modernization, and technical debt - Define and run the SDLC end-to-end: requirements through QA, staging validation, and production deployment - Set and enforce engineering standards: code review, documentation, testing, and release management - Act as technical architect on major initiatives including REST API refactors, database modernization, and new dashboard development - Establish guidelines for responsible AI coding tool adoption within the team DevOps and Infrastructure - Own CI/CD pipelines, branch management, deployment automation, and environment management - Lead infrastructure decisions across Rackspace Cloud and AWS, including containerization (Docker) and database scaling - Build and maintain a proper staging environment for pre-production testing and validation - Drive security and compliance initiatives, including SOC 2 readiness Team Development - Lead, mentor, and grow the frontend, backend, and DevOps teams - Identify hiring needs and lead recruitment for engineering roles - Build a high-performance, accountability-driven culture with clear ownership Cross-Functional Collaboration - Partner with Customer Success and Operations to scope customer-facing builds and manage delivery expectations - Establish a repeatable Engineering-to-Services handoff process so new features are demo-ready and deployable without bottlenecks - Serve as engineering escalation point when the CTO is unavailable What We're Looking For Required - 8+ years of professional software engineering experience, with 3+ years in an engineering leadership role (Manager, Director, or VP) - Hands-on experience with Python-based development and REST API design - Strong DevOps background: CI/CD, branch management, deployment automation, infrastructure-as-code - Experience with AWS and/or GCP, including containerization with Docker or Kubernetes - Experience managing relational and NoSQL databases at scale - Proven track record of building and retaining engineering teams - Strong cross-functional communication skills — you can translate technical tradeoffs into plain business language - Bachelor's degree in Computer Science, Engineering, or equivalent practical experience You'll Thrive Here If You - Have a player-coach mindset: technically credible, without ego - Bring structure without bureaucracy — you right-size process for the team you have today - Communicate clearly and honestly, even when the answer is complicated - Move with urgency but not chaos — you value sustainable delivery over heroic sprints - Are energized by ambiguity and the opportunity to build something better See full job description at: https://docs.google.com/document/d/1gXYO3HmPJfuiqi1jSl7dIZUsKrMeK8iwEKH4UXDoZcs/edit?usp=sharing