Engineering Productivity Engineer in Ireland

MongoDB is seeking an Engineering Manager to join the Atlas Growth Team. The team is responsible for improving and creating new features for MongoDB Atlas, our developer data platform that accounts for 65% of the company’s revenue. Atlas allows users to deploy fault-tolerant, secure, globally distributed MongoDB clusters in just minutes. The Atlas Growth team focuses on improving the customer experience via new product experiences and refinements to existing user flows. The team works closely with cross-functional partners, as well as other MongoDB engineering teams to bring new visions to life. We are constantly challenged to design features such as new onboarding flows, monetization improvements, and advanced cluster management tools for our large B2B customer base. We are looking to speak to candidates who are based in Dublin for our hybrid working model. What You’ll Do Manage a team of engineers to design, build and test new features for MongoDB Atlas Contribute to and lead complex technical projects Work with cross-functional stakeholders to design the team's roadmap, defining delivery dates that balance technical feasibility with the pace of the market Work closely with product, design and analytics teams, considering the user’s perspective while building technical solutions Collaborate with team members to develop our codebase, best practices, and design principles Learn from and mentor an impassioned array of team members We’re Looking for Someone Who Has at least 5 years of professional software development experience Has at least 2 years of people management experience Is skilled at writing large-scale, distributed backend systems in a compiled language (Java, C#, Go, etc.) Is comfortable working across the stack of a modern web application (e.g. React, TypeScript, React Testing Library) Has experience with at least one major cloud provider technology (AWS, Azure, GCP) Has a deep understanding of product analytics Has experience with A/B testing and

About the Team The Privacy Engineering team builds secure, reliable systems that help OpenAI meet its legal obligations while protecting user data. We partner closely with Legal and engineering teams across OpenAI to support lawful data access requests and other critical legal workflows. Our work turns complex, high-stakes processes into auditable and dependable technical systems with clear human oversight and strong privacy and security controls. About the Role We’re looking for a full-stack Software Engineer to build the internal tools and data pipelines that power lawful data access request workflows and Legal Operations. You will work across product and data systems to make authorized retrieval and case handling accurate, efficient, and auditable. This role is well suited to someone who enjoys translating ambiguous operational requirements into durable systems, cares deeply about sensitive-data handling, and wants to improve both technical reliability and the day-to-day experience of the people operating these workflows. In this role, you will: Design, build, and operate backend systems and workflow tooling for the full lifecycle of lawful data access requests, from intake and scoping through authorized retrieval, review, preparation, and audit. Build reliable data pipelines and interfaces across products and data stores so authorized teams can locate and handle the right records accurately and reproducibly. Implement least-privilege access, approval gates, provenance, audit trails, data minimization, and safe failure modes for sensitive workflows. Partner with Legal and Legal Operations to translate legal and operational requirements into clear technical designs and intuitive operator experiences. Identify responsible automation opportunities that reduce repetitive work while preserving human review, judgment, and accountability. Own production systems through testing, observability, incident response, documentation, and continuous reliability improvements. Hel

About the Team The Solutions Engineering team consists of trusted technical advisors who help organizations adopt OpenAI’s technology safely, effectively, and responsibly. We partner closely with customers, Sales, Product, Engineering, Research, and Security to translate frontier AI capabilities into practical workflows that create measurable impact. Cybersecurity is one of the most important areas where AI can help. As frontier models become increasingly capable of reasoning across code, logs, infrastructure, vulnerabilities, and security evidence, customers need expert guidance to evaluate and deploy these systems safely. Our Field Security Specialists help security leaders and practitioners apply OpenAI models, APIs, Codex, agentic workflows, and emerging cyber capabilities to real defensive challenges. About the Role We are looking for a Manager of Field Security Specialists to build and lead our customer-facing cyber solutions engineering function. This is a hands-on leadership role for someone who can develop an exceptional team while remaining close to the technology and our customers. You will establish the operating model for the function, raise the quality of specialist engagements, and personally support our most strategic and technically complex customer opportunities. You will work across CISO-level strategy, practitioner-level cybersecurity challenges, and hands-on solution design. Your team will help customers explore workflows including application security, secure software development, vulnerability management, threat modeling, cloud and identity security, SOC operations, detection engineering, incident response, and security validation. This is not an internal CISO or corporate incident-response role. It is a customer-facing leadership opportunity focused on helping defenders achieve safe, measurable outcomes with frontier AI. In this role, you will: Hire, coach, develop, and lead a high-performing team of Field Security Specialists. Establish the

Senior Manager, Software Engineering - DevOps, Observability & Monitoring — IRL - Galway. Apply via Workday.

Senior Data Scientist, AI Engineering — Dublin, Ireland. Apply via Workday.

Senior Data Scientist, AI Engineering — Dublin, Ireland. Apply via Workday.

Lead Data Scientist, AI Engineering — Dublin, Ireland. Apply via Workday.

Cloud Operations Engineers are responsible for building internal tools and process automation. Day-to-day duties are creating and monitoring systems alert dashboards, reviewing critical event and system logs, accessing customer instances that underpin their production databases, and performing server administration duties including performance troubleshooting. Applicants must be critical thinkers who are quick to detect, resolve, or escalate issues that are sometimes broad in scope and difficult to trace. We are looking for a Lead with strong technical leadership experience as well as technical depth who is looking to collaborate closely with Cloud Operations Engineering Management in building and maintaining a high-performing team that delivers high quality outcomes while fostering psychological safety and professional growth. We are looking to speak to candidates who are based in Dublin for our hybrid working model. Core responsibilities Team leadership: partner with and assist COE Management with the tasks of providing ongoing technical feedback to engineers, support their growth and creating an inclusive team environment Execution and delivery: play a key role in guiding team members through project deliverables ensuring high quality outcomes while also assisting in meeting or resetting timelines when required Time management: between assisting team members with day to day tasks ranging from incident to project management Cross-functional collaboration: work closely with Product, Technical Services and R&D to surface team’s pain points and drive alignment with the goal of providing an excellent user experience to the end customer Coordinate with Lead counterparts within Cloud Operations as well as Technical Services to ensure our uptime guarantees to the MongoDB Atlas customer base Assist and collaborate with the team on scoping, designing, deploying and ongoing maintenance of systems that focus on reducing mean time to resolve customer incidents Detec

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. This is a great time to join the WEMEA Solution Engineering team in a role that will see exponential growth in the coming years. This team values collaboration, flexibility and has a strong emphasis on continued learning and development. We’re looking for a Senior Manager to lead our Solution Engineering team in IMETA located in Dublin. As a Senior Manager, Solution Engineering you would… Manage a team of multiple talented Solution Engineers across multiple regions. 40% travel expected Primary Location in Dublin Provide coaching and development to your team ensuring professional growth and career development. Build effective relationships with cross functional leaders such as Sales, Marketing, Customer Success and more. Partner with HR, Finance and Operations to look at skills gaps, workforce planning and budget alignment. Partner with Recruitment to build best in class hiring plans and go to market strategies. Interview, assess, conduct case studies and navigate offers to secure the best talent for Okta. Collaborate with your Manager peers around best practice, market trends, employee internal moves and the overall functions strategy to support the team as they scale. Still remain hands on and be able to support your team with technical questions. Act as an ambassador for your team with the Product functions to deliver feedback from the field. We are looking for experience… 3 years or more experience managing high

About the company OpenAI’s mission is to build and ensure that safe artificial general intelligence (AGI) benefits all of humanity. This long-term undertaking brings together the world’s best scientists, engineers, and business professionals to accomplish this. About the role We are looking for a Sales Engineering leader to be responsible for overseeing all technical aspects of the OpenAI sales process ensuring developers and enterprises maximize benefit, value, and adoption from our highly-capable models and technology. We are looking for a technical leader who represents the voice of the customer, aligning our customer-facing technical teams around a unified and exceptional experience across the customer lifecycle. You will be crucial to the success of our GTM strategy and will have a significant influence in shaping the direction of our technology and those who adopt it. Your responsibilities will encompass overseeing all technical aspects of the sales process for our Digital Natives segment. This includes not only the pre-sales activities but also at times the post-sales technical support ensuring a cohesive and outstanding experience for our clients. Your teams of Solutions Engineers will rely on your leadership to guide them in delivering exceptional service and technical expertise. You will work closely with Sales, Customer Engagement, Security, and Product teams. In this role, you will: Help craft and continuously refine the strategic vision for OpenAI's Solutions Engineering function, aligning it with broader company objectives and the evolving needs of our diverse clientele. Lead and mentor a multifaceted team through the entire sales cycle, fostering an environment that promotes seamless customer engagement, maximum adoption, and scalability. Collaborate with cross-functional teams including GTM, Product, Engineering, and Research, ensuring synergy and cohesion in our customer engagement strategies. Act as the escalation technical contact for key clients

We’re hiring a Senior Technical Product Marketing Manager to lead positioning, messaging, and product adoption across our AI and agentic context solutions. This is a high-impact role for a technical marketer who thinks and acts like a builder. Most AI systems don't fail because the model is bad—they fail because they lack a crucial, contextual foundation. MongoDB owns a piece of nearly every step in that chain. This role requires deep technical expertise across the context stack—including VoyageAI embedding and reranking models, MCP Server, and the coding agent ecosystem (Claude Code, Cursor, GitHub Copilot, Gemini CLI, Codex, etc.)—combined with product marketing instincts to deeply understand the market and translate technical depth into crisp, differentiated messaging for distinct user and buyer personas. The ideal candidate has experience building and shipping AI-enabled products and using developer tools in their day-to-day workflows. Individuals with prior experience in technical sales, developer relations, or software development are encouraged to apply. The ideal candidate is a voracious consumer of AI research and pays close attention to shifting patterns in how software and AI applications are built and consumed. This individual is confident in communicating with technical practitioners and non-technical decision makers in one-to-few and one-to-many engagements for internal and external audiences. You will leverage your technical depth to craft clear, compelling, and highly differentiated messaging by working backward from customer requirements. We are looking to speak to candidates who are based in Dublin for our hybrid working model. What You’ll Do Drive Strategy & Execution: Act as the strategic owner for MongoDB’s context engineering portfolio—MCP Server, Agent Skills, VoyageAI, and more— aligning roadmap and go-to-market with MongoDB’s long-term business goals, in collaboration with Product Management, Engineering, Developer Relations, Partn

Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Software Engineer (L2) - for Voice Trust: helping ensure Twilio’s Voice customers have reliable voice communication with their customers that ensure their customers will answer their calls. About the job This position is needed to add to our Voice Connectivity Trust team to enable Twilio to better support our customers using Voice in their solutions. As a Software Engineer on this team you will participate in all phases of the software development life cycle which includes requirements gathering with Product Managers, technical design, estimations, sprint planning, coding, testing, deployments and on-call support. This engineer will own, operate and maintain their teams’ services in a distributed production environment, employing Agile methodologies to continuously deliver value to customers. Responsibilities In this role, you’ll: Be an owner: Design and implement real-time services with high throughput and low latency r

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? Principal Engineers at Fin have the opportunity to lead the definition and execution of key strategic initiatives. You will work autonomously and be accountable for strategic execution in part of the engineering organization. You will build both back-end and front-end systems, and work closely with designers, product managers, researchers, and data analysts. You will coach and mentor other engineers and partner closely with the Group Engineering Managers on technical strategy and leadership. Learn more about our engineering culture at intercom.engineering What will I be doing? As an experienced engineer you will: Have a mastery of domain knowledge and work as a leader within the R&D org to drive key strategic projects. Provide assessments of project progress, risks and challenges to engineering leadership to help guide resource allocation and prioritisation. Contribute to our technical architecture as we grow. We scale to service requests from all our cus

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 is transforming customer service through AI, helping businesses deliver fast, accurate, and reliable support at scale. Trust is foundational to that mission. Fin's Security Engineering team is unlike most security teams. We own and operate critical security services, build customer-facing security features, and partner with engineering teams to make secure development the default. We're engineers first; designing, building, and operating systems that protect Fin and its customers. The team owns and operates tier-zero services including authentication, SAML/SSO, teammate activity logs, malicious URL scanning, and other critical trust and security capabilities. The mission of the team is to help Fin build and operate trusted AI-powered customer service experiences by making security a natural part of how products are designed, developed, and delivered. As Fin continues to expand its capabilities and adoption, you'll help shape how security evolves alongside some of the

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? At Fin, you will be a Senior Software Engineer - someone who solves real customer problems through a smart and efficient application of your technical knowledge and your tools. You’ll be part of one of our multidisciplinary product teams, where you will build both back-end and front-end systems, and work closely with designers, product managers, researchers, and data analysts. We’re facing many exciting scaling challenges and we’re building a robust platform where your expertise can be applied to areas such as building a beautiful messenger composer, rule matching, deliverability, security, app availability and machine learning, to name a few. What will I be doing? As an experienced engineer you will: Develop technical plans and contribute to our technical architecture as we scale our products to serve tens of millions of people every day. Write Ruby code, which knits together a lot of AWS, infrastructure, platform and SaaS technologies that form the core of Fin's