Role Description As a Senior Project Engineer Manager, you’ll own high-impact capital projects from idea to start-up ($50K–$15M) across Kerry’s Taste manufacturing network in North America. This is a hands-on, high-visibility role where you’ll modernize process manufacturing systems—spanning sanitary processing, aseptic systems, automation, bulk packing, facilities, utilities, and safety improvements—and help turn great concepts into reliable, day-one performance. If you’re energized by building what’s next and seeing your work come to life on the plant floor, you’ll thrive here. This role can be remotely located with the following restrictions located in the eastern or central time zones, within a short commute to a major airport, travel ranging from 30-80% depending on project stage. Key Responsibilities - Own capital projects end-to-end—from concept and scope through design, installation, commissioning, and seamless handoff to Operations. - Collaborate with up to 5 manufacturing plants across North America (4 in the eastern time zone and 1 in the pacific time zone) to deliver projects to address the critical priorities of the manufacturing network. - Bring people together across Manufacturing, R&D, Finance, HSE, Quality, and Maintenance to define the need, align on priorities, and turn it into an executable plan. - Build and drive scope, budget, and schedule—balancing speed, cost, and quality while clearing roadblocks and accelerating decisions. - Create crisp engineering and capital-approval deliverables (charters, estimates, justifications, specifications) that set projects up for success. - Lead vendors, contractors, and internal experts—coordinating procurement, construction, and installation to deliver right-first-time execution. Collaborate with partner engineering firms to develop and deliver project scope. - Spot risk early and manage it proactively—ensuring safe execution and compliance with Kerry standards, OSHA/HSE requirements, and GMPs. - Keep stakeholders aligned with clear updates, smart escalation, and change management that protects schedule, cost, and outcomes. - Lead start-up and early equipment management to deliver stable, repeatable performance—and a confident ramp-up for the manufacturing teams. Qualifications - B.S. in Engineering (Chemical or Mechanical) from an ABET-accredited university. - 4+ years leading capital projects ($100K+) in a manufacturing environment—project engineering and/or project management. - Project management training or certification (e.g., PMP) is a plus. - Clear, confident communicator with strong technical writing and stakeholder management skills. - Experience as a process engineer or plant engineer based at a manufacturing site. - Manufacturing experience in food, beverages, consumer goods, chemical, or pharmaceutical environments preferred. - Exposure to aseptic bulk packing equipment preferred. - Strong working knowledge of Microsoft Word, PowerPoint, Excel, and Project; familiarity with AI tools (Copilot, ChatGPT, or similar) is a plus. - Familiarity with CAD software preferred. - Technologies in use at these sites include spray drying, powder blending, liquids mixing, coffee roasting, distillation, reverse osmosis, clean-in-place systems, sanitary piping, valve clusters and more. Requirements - The typical hiring range for this role is $88,100 to $144,000 annually and is based on several factors including but not limited to education, work experience, certifications, location, etc. Benefits - Comprehensive benefits package. - Incentive and recognition programs. - Equity stock purchase and retirement contribution (all benefits and incentives are subject to eligibility requirements).

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 Overview The CNPF Data & AI organization 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. 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. 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. Qualifications• Bachelor's degree in computer science, Software Engineering, or a related technical field; advanced degree preferred. + 15 years of 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. 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.

Role Description As an Engineering Manager, you will lead a team of talented engineers responsible for delivering high-impact products and platform capabilities. You'll partner closely with Product, Design, and fellow Engineering leaders to translate business priorities into technical execution, helping your team deliver reliable, scalable software. You'll coach and develop engineers, create an environment where teams can do their best work, and help shape the processes, culture, and operating rhythms across your teams. If you're energized by growing engineers and solving complex problems, you'll have a meaningful opportunity to influence both the product and engineering culture at MergeCo. Day in the Life - Develop, coach, and mentor engineering team members. - Build a healthy, accountable, and collaborative engineering culture. - Hire top-tier engineers to join the team. - Work closely with Product Management to deliver against the roadmap and meet business goals. - Manage everyday engineering processes to ensure the team runs effectively. - Support agile delivery practices and may play a scrum master role for up to three agile teams. - Partner with Staff / Principal Engineers to guide architecture oversight and technical direction and execution. - Contribute to engineering-wide initiatives as part of the engineering management team. - Help teams improve delivery predictability, operational quality, code quality, and technical decision-making. - Support and encourage the practical use of modern AI tools across the software development lifecycle to improve productivity, documentation, testing, delivery workflows, and engineering operations. - Maintain strong standards for quality, security, and maintainability when using AI tooling. Qualifications - 7+ years of experience building web applications, preferably across multiple languages and environments. - 3+ years of technical leadership experience for an application development team. - A track record of leading engineering teams and delivering quality projects. - Strong project management and product lifecycle skills. - Experience mentoring engineers and helping them grow technically and professionally. - Ability to partner well with Product, Design, QA, SRE, and other cross-functional teams. - Strong understanding of modern software development practices, including code review, testing, CI/CD, agile delivery, and operational ownership. - Basic working knowledge of cloud platforms such as AWS and/or GCP, including an understanding of how cloud services support application hosting, APIs, storage, security, monitoring, and scalability. - Familiarity with AI tools used in engineering workflows, such as coding assistants, documentation tools, or workflow automation tools. - Ability to evaluate AI-assisted output with sound engineering judgment, including quality, security, privacy, and maintainability considerations. - An appreciation for a high level of autonomy and responsibility. - A scrappy, get-stuff-done attitude that helps teams complete high-quality projects quickly. - Proactive in solving problems, comfortable taking ownership, and ability to move quickly. - U.S. Citizen or Permanent Resident status required. - Visa sponsorship is not available for this position. Requirements - Experience in eCommerce. - Experience with Docker, Kubernetes, TypeScript, React, Go, Node, or similar modern application technologies. - Experience working with distributed systems, APIs, platform teams, or cloud-native architectures. - Experience with AWS services such as Lambda, ECS/Fargate, S3, CloudFront, API Gateway, RDS, WAF, Secrets Manager, or observability tooling. - Exposure to GCP services such as BigQuery, Cloud Run, Cloud Functions, Pub/Sub, or related data and application services. - Experience helping engineering teams adopt AI tools responsibly across the SDLC. - Experience with Stripe Connect and/or Stripe Billing. - Experience with team sporting goods, decorated apparel, promotional products, or supplier/distributor workflows. - Experience improving team processes, delivery metrics, incident response, or engineering operational maturity. Benefits - Competitive benefits - Unlimited PTO - Remote work available for U.S.-based candidates - 401(k) with employer match - Paid parental leave - In-office benefits for those local to Dallas, TX: - Catered lunches - Casual office atmosphere & located in the Design District - Fully stocked kitchen

Role Description As the Manager of the Sales Engineering team for the Industry Expansion Business Unit, you'll play a vital role in building and leading a team of SEs. You'll collaborate with cross-functional stakeholders to develop processes and create industry-specific collateral to drive our expansion into new verticals (Financial Services, Healthcare, Manufacturing). The mission of our Sales Engineering team at Gong is to serve as trusted partners, advising customers on complex workflows and guiding them toward an AI-first approach to their go-to-market strategy, ultimately helping them achieve their desired business outcomes. Responsibilities - Lead a high-performing sales engineering team by applying insights gained from past experiences to ensure successful outcomes from the start. - Recruit, mentor, and empower Sales Engineers to maximize their potential and contribute effectively to team goals. - Build a team of Gong experts who possess in-depth knowledge of the platform to effectively communicate its features and business benefits to various user types. - Play an active role in training team members on new features, processes, and collateral, fostering continuous learning and development. - Foster a culture of collaboration within the Sales Engineering team and establish strong partnerships with Sales counterparts to drive revenue growth. - Develop and implement streamlined processes and create impactful collateral to support the team and enhance stakeholder engagement. - Optimize existing workflows and eliminate bottlenecks by collaborating cross-functionally with Sales, Customer Success, Support, and Product teams, ensuring smooth deal execution. - Build and maintain strong relationships with Product Marketing, Sales Enablement, Sales Operations, and Product/Engineering teams, leveraging sound judgment to meet and exceed business objectives. - Be a steward of our company culture and actively enforce our Operating Principles by embodying them in daily practices and team interactions. Qualifications - 6-12 years of relevant sales engineering experience, including a proven track record of building and managing high-performing sales engineering teams. - Experience selling into one or more of the following industry verticals: Financial Services (Banking/Insurance/Wealth), Healthcare (including Life Sciences), Manufacturing, or Energy. - Demonstrated ability to lead a customer-facing team; including strong people management skills, and a commitment to mentoring, coaching, and employee development. - Proven experience in building a successful team from the ground up, with a readiness to roll up your sleeves and engage directly on deals, embodying our #no-royalty leadership principle. - Ability to foster trust and collaboration among team members and cross-functional stakeholders. - Strong business acumen with a deep understanding of the perspectives and priorities of revenue leaders. - Knowledge of go-to-market (GTM) sales team personas, along with essential sales workflows such as forecasting and prospecting. - Experience with sales technologies, including CRMs, cloud architecture, and telephony/web conferencing systems. - Familiarity with data flows, AI and machine learning concepts, analytics, APIs/webhooks, and JSON. - Understanding of security and privacy considerations related to SaaS systems. - Exceptional verbal and written communication skills, with the ability to convey complex ideas clearly and persuasively. - Strong interpersonal and teamwork skills, with a collaborative approach to problem-solving. - A genuine passion for technology and a commitment to innovative problem-solving. Benefits - We offer Gongsters a variety of medical, dental, and vision plans, designed to fit you and your family’s needs. - Wellbeing Fund - flexible wellness stipend to support a healthy lifestyle. - Mental Health benefits with covered therapy and coaching. - 401(k) program to help you invest in your future. - Education & learning stipend for personal growth and development. - Flexible vacation time to promote a healthy work-life blend. - Paid parental leave to support you and your family. - Company-wide recharge days each quarter. - Work from home stipend to help you succeed in a remote environment.