Design Technologist in Ireland

As a Senior Curriculum Engineer, you'll work with a team of creative educators and software engineers dedicated to building the future of online technical education, developing courses for MongoDB University . MongoDB University is the online training department of MongoDB and is chartered with building high-quality training at a basic and advanced level across the entire MongoDB product stack. The University team is focused on creating skill-based learning content designed to equip enterprise users and a general audience with the core skills needed to use MongoDB successfully. Your work will directly impact the learning experience of millions of developers around the world, helping them become experts in the field by honing their skills on the fastest-growing modern database. This role will be based remotely in Ireland. What You’ll Do You’ll work closely with a team of curriculum engineers, curriculum designers, and in-house subject-matter experts to build course materials focused on upskilling enterprise customers. You'll write presentations for our partner teams, design hands-on activities, and deliver content, ensuring these MongoDB learning resources are relevant, interactive, and reflect the challenges developers encounter in the real world. In this role, we expect you to continually deepen your knowledge of MongoDB and become an expert in a subset of its offerings. You will articulate the key concepts and skills that need to be covered in a training course, write course materials for an enterprise audience, design the hands-on exercises, and also support the creation of skill badges that assess a learner's knowledge. If you are a current software developer or a system administrator, you will be able to add a lot of value to the team as we strive for our training to be from experts who already use our products or similar offerings. If you are new to MongoDB, you'll be expected to learn MongoDB products quickly and articulate how they work.&nb

We are looking for passionate technologists to join our Pre-Sales organization to ensure that our growth is grounded and guided by strong technical alignment with our platform and the needs of our customers. MongoDB Pre-Sales Solution Architects are responsible for guiding our customers and users to design and build reliable, scalable systems using our data platform. Our team is made up of seasoned technical sales professionals, software architects, entrepreneurs, and developers who take direct responsibility for customer success, including the design of their software, deployment, and operations. You'll work closely with our sales executives, helping customers solve business problems by leveraging our solutions, playing a key role in winning deals and driving the business forward. You'll be a trusted advisor to a wide range of users from startups to the world's largest enterprise IT organizations. This role can be based remotely in Ireland. As an ideal candidate, you will have: 5 to 8 years of related industry experience, ideally 2 years of experience in a customer facing role Minimum of 2 years experience with modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) in a professional capacity Experience implementing scalable and highly available distributed systems in the cloud and on-prem Demonstrated ability to work with customers to review complex architecture of existing applications, providing guidance on how to improve by leveraging technology Excellent presentation, communication, and interpersonal skills, with the ability to convey complex technical and business concepts in a clear and compelling manner to technology and business leadership Ability to work with a cross functional sales team to formulate and execute an end to end deal cycle. The ability to travel up to 25% A Bachelor’s degree or equivalent work experience You may also have: Experience developing, deploying, or supporting

We are looking for passionate technologists to join our Pre-Sales organization to ensure that our growth is grounded and guided by strong technical alignment with our platform and the needs of our customers. MongoDB Pre-Sales Solution Architects are responsible for guiding our customers and users to design and build reliable, scalable systems using our data platform. Our team is made up of seasoned technical sales professionals, software architects, entrepreneurs, and developers who take direct responsibility for customer success, including the design of their software, deployment, and operations. You'll work closely with our sales executives, helping customers solve business problems by leveraging our solutions, playing a key role in winning deals and driving the business forward. You'll be a trusted advisor to a wide range of users from startups to the world's largest enterprise IT organizations. We are looking to speak to candidates who are based in Dublin for our hybrid working model. As an ideal candidate, you will have 5 to 8 years of related industry experience, ideally 2 years of experience in a customer facing role. Minimum of 2 years experience with modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) in a professional capacity Experience implementing scalable and highly available distributed systems in the cloud and on-prem Demonstrated ability to work with customers to review complex architecture of existing applications, providing guidance on how to improve by leveraging technology Excellent presentation, communication, and interpersonal skills, with the ability to convey complex technical and business concepts in a clear and compelling manner to technology and business leadership. Ability to work with a cross functional sales team to formulate and execute an end to end deal cycle. A Bachelor’s degree or equivalent work experience Must be fluent in Italian You may also

About the Team The Applied AI Engineering team is responsible for helping developers and enterprises safely and effectively deploy OpenAI technologies in production. We act as trusted technical advisors and thought partners for customers, working side by side with their teams to identify high-value use cases, design practical architectures, and move from prototype to durable deployment. Cybersecurity is one of the most urgent domains where AI can help. Security teams are under pressure to reason across code, logs, infrastructure, tickets, alerts, and vulnerability data faster than ever. As frontier models become more capable, organizations need deep technical guidance on how to evaluate, validate, and safely deploy AI systems in security-critical workflows. About the Role We are looking for a Cybersecurity Applied AI Engineer to partner with customers and help them apply OpenAI models, APIs, Codex, and agentic workflows to real cybersecurity use cases. You will work with CISOs, security executives, application security leaders, SOC teams, security engineering teams, and hands-on practitioners to identify where AI can create measurable security outcomes. This is a customer-facing technical role for someone who can move fluidly between executive strategy, practitioner-level cyber depth, and hands-on solution design. You will help customers evaluate and deploy workflows such as secure code review, vulnerability triage, threat modeling, remediation, SOC and incident response workflows, detection engineering, cloud security, GRC automation, and security validation. You will collaborate closely with Sales, Solutions Engineering, Product, Engineering, Research, and Security to turn customer needs into safe deployment patterns, reusable field assets, and product feedback. This role is based in our Dublin Office. We offer relocation support to new employees. In this role, you will: Deeply embed with strategic customers as the technical lead for AI-enabled cybersecurity workf

Job Details: Job Description: The Role and Impact As a Sr Deep Learning Hardware Verification Engineer, you will play a pivotal role in shaping the future of AI hardware by validating and optimizing next-generation NPU silicon solutions. In this role you will join the NPU Hardware Pre-Silicon Validation team working closely with design engineers, model engineers and AI architects to validate components of the next generation NPU IP portfolio, your contributions will directly shape Intel's advancements in AI technologies. Your responsibilities will include: • Functional Verification of complex digital design block(s) on the latest generations of Intel's NPU AI accelerators. • Architect, development and implementation of verification environments from initial planning through the validation lifecycle to review and signoff. • Development of test plans and test cases. • Implementation of random test generators, high level transactional models, bus functional models (BFMs), functional/formal constraints, checkers and scoreboards, coverpoints/covergroups and SVA properties. • Implementation of software based testcases for functional and performance based testing of the NPU AI accelerators. • Collaborate with cross-functional teams to analyses and address next-generation AI requirements, influencing the AI product roadmap. Leixlip is the primary location for this position, however, we offer some flexibility to support your work/life balance arrangements. Business group The Artificial Intelligence and Deep Learning team drives innovation in AI hardware development, aligning with Intel's mission to deliver world-class solutions in the AI domain. With a focus on building state-of-the-art hardware that supports cutting-edge AI models, the team collaborates across Intel to en

Work Flexibility: Hybrid or Onsite **23 month fixed term contract** All benefits included Hybrid, Carrigtwohill, Cork Join Our Team as a Senior Engineer, Advanced Operations Are you an experienced and innovative engineering professional with a passion for advancing cutting-edge technologies in the medical field? We are looking for a proactive, results-driven Senior Engineer to support our NPI programs working on our Patient Specific Joint Replacement portfolio. In this role, you will develop solutions to technical challenges of moderate scope and complexity, while playing a key part in leveraging engineering techniques to ensure NPI launch excellence. You will also lead continuous improvement initiatives aimed at accelerating time to market, driving cost efficiencies, and expanding margins by implementing innovative additive technologies and processes that differentiate our products and give us a competitive edge in the market. Key Responsibilities: Innovative Technology Integration: Support the integration of cutting-edge additive manufacturing technologies for joint replacement products, optimizing efficiency and precision in accordance with Stryker's new product development and design transfer procedures. Relationship Building and Mentorship: Foster productive relationships both internally and externally, playing a pivotal role in team dynamics. Provide periodic guidance and training to team members, contributing to a culture of continuous learning and growth. Quality Assurance and Product Optimization: Oversee and ensure the quality of processes and products, aligning with operational standards and material specifications to deliver superior joint replacement pro

Work Flexibility: Hybrid Position Summary We are looking for a hands-on technical leader who thrives as a true player-coach who is as comfortable solving a difficult technical problem as they are developing the people around them. As Associate R&D Manager for Stryker Foot & Ankle in Ireland, you will help grow a high-performing R&D team focused on designing and delivering innovative orthopedic solutions for surgeons and patients around the world. This role calls for someone with strong mechanical engineering depth, sound product development judgment, and the leadership presence to coach engineers, influence cross-functional partners, and drive projects forward with purpose. You will join a business with a deep commitment to Foot & Ankle innovation, a broad portfolio of advanced medical technologies, and a mission to make healthcare better. If you are passionate about building products, building people, and building something that matters, we want to meet you. What you will do: Technical Responsibilities Lead technical team members in research, design, development, modification and evaluation of modules, assemblies, or subsystems. Apply and mentor others on advanced engineering theories, principles, and concepts. Translate user needs to design inputs/specifications and produce complex system level designs independently. Conduct, design, and select advanced prototyping and testing. Mentor and influence in correction of complex product design issues. Conduct technology exploration and influence application in the business. Develop invention disclosures, patents or trade secrets. Technical / Managerial Responsibilities Execute a robust talent offense by attracting, develo

We’re looking for a Marketing Automation Manager to join our Marketing Tech & Automation Team. This is an individual contributor role focused on designing and building the automation, orchestration, integration, and AI-driven workflows across MongoDB’s marketing technology ecosystem. The ideal candidate will blend technical fluency with marketing automation expertise by connecting data, tools, and workflows to help marketers move faster, smarter, and with greater precision. You’ll work primarily with Workato, Claude, collaborating with the owners of platforms such as Marketo, Iterable, Splash, Intercom, Workfront, and Salesforce to optimize workflows and data processes within and across systems. A strong understanding of marketing processes, Martech, Integration & APIs, AI and automation will help you succeed in this role. We are looking to speak to candidates who are based in Dublin for our hybrid working model. Main Responsibilities: Design, build, and maintain AI driven automations and integrations across marketing technologies to streamline workflows and bring operational efficiencies Partner with multiple stakeholders including regional marketing teams, marketing operations and marketing analytics to identify automation opportunities and remove process friction Translate marketing and campaign needs into automated, scalable system solutions, using Workato and related tools Collaborate with cross-functional teams, including IT, Marketing, Marketing Analytics, Engineering, and our Marketing Ops to ensure data integrity and alignment Monitor, troubleshoot, and optimize existing integrations for reliability and performance Create and maintain documentation, including automation playbooks and best practices Act as a subject matter expert and consultant within Marketing on process design and automation strategy Support governance, compliance, and change management related to system workflows and integrations Requirements: 5+ years of experience in

Fin is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey – from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk for one single system that is designed to meet the needs of modern day support teams. Founded in 2011, Fin became one of the fastest growing companies and remains one of the largest private software companies in the world with nearly 30,000 global businesses using our products to transform their customer support. Driven by our core values, we push boundaries, build with speed and intensity, and relentlessly deliver incredible value to our customers. What's the opportunity? We’re looking for Staff Product Engineers to join the AI Group to build Fin's AI-powered products. Product Engineers working in ML work closely with both our ML Scientists and product teams. They must deeply understand our product, our customers, our ML tech stack and our broader product stack. Our group is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands. We are an extremely product focussed team. We work in partnership with Product and Design functions of teams we support. Our team's dedicated Engineers enable us to move to production fast, often shipping to beta in weeks after a successful offline test. We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test and mea

Fin is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey – from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk for one single system that is designed to meet the needs of modern day support teams. Founded in 2011, Fin became one of the fastest growing companies and remains one of the largest private software companies in the world with nearly 30,000 global businesses using our products to transform their customer support. Driven by our core values, we push boundaries, build with speed and intensity, and relentlessly deliver incredible value to our customers. What's the opportunity? Fin's Machine Learning team is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands. We are an extremely product focussed team. We work in partnership with Product and Design functions of teams we support. Our team's dedicated ML product engineers enable us to move to production fast, often shipping to beta in weeks after a successful offline test. We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test and measure the real customer impact of each model we deploy. What will I be doing? Play an active role in hiring, mentoring and career development of other engineers Raise the bar for technical standards, performance, reliability, and operational excellence Identify areas

Fin is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey – from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk for one single system that is designed to meet the needs of modern day support teams. Founded in 2011, Fin became one of the fastest growing companies and remains one of the largest private software companies in the world with nearly 30,000 global businesses using our products to transform their customer support. Driven by our core values, we push boundaries, build with speed and intensity, and relentlessly deliver incredible value to our customers. What's the opportunity? Fin's Machine Learning team is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands. We are an extremely product focussed team. We work in partnership with Product and Design functions of teams we support. Our team's dedicated ML product engineers enable us to move to production fast, often shipping to beta in weeks after a successful offline test. We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test and measure the real customer impact of each model we deploy. What will I be doing? Identify areas where ML can create value for our customers Identify the right ML framing of product problems Working with teammates and Product and Design stakeholders Conduct exploratory da

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . We are looking for inquisitive, well-rounded Senior Full-Stack and Backend engineers to join our Data and Core engineering teams. Working closely with product managers, designers, and backend engineers, you’ll play an important role in enabling the newest technologies and experiences. You will build robust frameworks & features. You will empower both developers and Pinners alike. You’ll have the opportunity to find creative solutions to thought-provoking problems. Even better, because we covet the kind of courageous thinking that’s required in order for big bets and smart risks to pay off, you’ll be invited to create and drive new initiatives, seeing them from inception through to technical design, implementation, and release. What you’ll do: Build out the backend for Pinner-facing features to power the future of inspiration on Pinterest Con

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team The Payments organization focuses on developing products and platforms that enable users to accept payments from customers efficiently. This includes building APIs for processing payments, enabling regional, non-card payment options, and extending Stripe's capabilities to make it easy for businesses to accept in-person payments. The Risk Engineering team develops products that minimize financial and regulatory risks while ensuring a seamless user experience, thereby safeguarding Stripe's brand and financial stability. The Premium Merchant Experiences team helps businesses using Stripe succeed by providing high-quality, contextual, and timely premium support options. Our Dublin-based team is a startup within Stripe, building a greenfield product—offering both automated, AI-driven support and improved access to technical experts across Stripe. Team matching—exact team matching for one of the subteams within this org will begin during final stages. Please note we may also consider you for different orgs based on your experience, location, etc. What you'll do We're looking for software engineers who are interested in building software services and platforms that impact thousands of employees and millions of Stripe users, regardless of whether they're an end user, developer, or partner. Responsibilities Work with a wide range of systems, processes, and technologies to own and solve problems from end-to-end Work closely with engineers, desig

Fin is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey – from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk for one single system that is designed to meet the needs of modern day support teams. Founded in 2011, Fin became one of the fastest growing companies and remains one of the largest private software companies in the world with nearly 30,000 global businesses using our products to transform their customer support. Driven by our core values, we push boundaries, build with speed and intensity, and relentlessly deliver incredible value to our customers. We are looking for a technically-capable product leader to head up AI Design at Fin. Fin is the #1 AI agent for customer service — a full-stack, vertically integrated AI system powered by our own in-house models, Apex, designed specifically for customer experiences. The role is to lead the Design function within our AI Group, where our custom models and core Fin functionality are developed. You will be managing our AI Designers (currently 3 Staff/Principal level AI Designers). You will work directly with AI Engineers and Scientists in our AI Group , and Product Designers and teams in our R&D group. We believe that leading AI Design is a new type of product leadership role that combines technical, product, and leadership qualities. This includes shaping how the Fin AI models and harness behave — how they reason, respond, and improve over time. The experience is defined as much by model behavior, evals, and iteration loops as it is by UI. We’re looking for someone to lead in that world.

Manager, Product Experience & Design — Dublin, Ireland. Apply via Workday.