Aws Specialist Sellers in Dublin

About the Team The Technical Support team is responsible for ensuring that developers and enterprises can reliably build mission critical solutions using OpenAI models. We provide technical guidance, resolve complex issues and support customers in maximizing value and adoption from deploying our highly-capable models. We work closely with Technical Success, Product, Engineering and others to deliver the best possible experience to our customers at scale. We think from an automation-first mindset and leverage the latest in AI to scale our support operations. Join the Senior Support Engineering (SSE) team at OpenAI and help shape the future of Technical Support in the age of AI. About the Role We are looking for a Senior Support Engineer to collaborate directly with our strategic enterprise accounts and product teams, helping solve some of the most difficult problems faced by our Customers. You will be part of the best technical troubleshooting team at OpenAI, and our Customers and Engineering teams will look to you for technical guidance in addressing the most technically difficult issues in our environment. As a Senior Support Engineer, you will design and run operational processes to monitor our top strategic customers and a 24x7 response team. You’ll work closely with our Infrastructure and Engineering teams to deliver the best possible experience to customers at scale. Working directly with our most strategic Customers - You will be crucial to the success of the most innovative, disruptive, and high-scale AI solutions being built with the OpenAI API platform. The nature of this role will be low volume, high difficulty. This role is based in Dublin, Ireland. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Be among the foremost technical and troubleshooting experts for our API platform at OpenAI. You are the last line of defense before the core Engineering team. Proactively identi

About the Team OpenAI’s User Operations team shepherds our customers’ adoption of AI and ensures that our customers' product experience is nothing short of exceptional. We are building the very first post-AGI support team. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others, to deliver the best possible experience to our customers at scale. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises. About the Role We’re looking for dedicated, experienced, and deeply curious individuals to help solve some of the most complex challenges faced by our customers while building the future of post-AGI support alongside us. In this role, you’ll work directly with customers through support tickets and live calls, troubleshooting high-impact issues and resolving novel, often ambiguous technical problems in one of the fastest-moving environments in technology. As AI adoption rapidly accelerates, the work you do will directly support mission-critical systems being built on OpenAI’s platform, serving as a critical line of defense for customers operating at massive scale. Beyond resolving technical issues, you’ll help define what world-class support looks like in an AGI-driven future. You’ll partner closely with Engineering, Product, and Operations to improve systems, reduce bugs, and elevate the customer experience, while leveraging automation, agents, and our own AI technology to transform how support operates at scale. You’ll be responsible for: Working directly with customers to troubleshoot and resolve their most complex technical issues, including API failures, integration challenges, authentication errors, and production incidents. Providing end-to-end ownership through debugging logs, analyzing system behavior, reproducing issues, and

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 . The PinTech team at Pinterest supports partnerships across a diverse set of companies to provide our Pinners with world class experiences bringing them the inspiration to create a life they love. As a Partner / Technical Support Engineer, you’ll work with a variety of Tier 1 clients across Pinterest products (Enterprise, Adtech, Shopping, Growth, etc.) to define and build scalable partner solutions, helping hundreds of millions of people find ideas and inspiration. You will be the evangelist of Pinterest’s technology stack, both internationally and domestically. What you’ll do: Serve as a subject matter expert on the Pinterest API and Pinterest partner integrations Become an expert in Pinterest’s business products and how to best deploy them and troubleshoot them Lead the definition, development, and broad-scale adoption of Pinteres

We are a global team of innovators and pioneers dedicated to shaping the future of observability. At New Relic, we build an intelligent platform that empowers companies to thrive in an AI-first world by giving them unparalleled insight into their complex systems. As we continue to expand our global footprint, we're looking for passionate people to join our mission. If you're ready to help the world's best companies optimize their digital applications, we invite you to explore a career with us! Your opportunity As a New Relic Support Engineer, you know more about our products than any other function and you feel a sense of pride and satisfaction in helping customers through their never-seen-before technical issues. We are serious about keeping our skills sharp so that we can provide outstanding assistance in a constantly evolving technical landscape. We emphasize training, knowledge and customer empathy, your learning opportunities will never end. Are you ready to become our next Support Engineer passionate about today’s Infrastructure issues? What you'll do Collaborate across teams to assist in solving complex technical customer problems across our product suite Strong analytical and technical troubleshooting skills Impeccable customer service skills and display genuine empathy towards customers. Work closely with our software engineering teams to resolve advanced customer issues. Support New Relic customers by resolving various installation, configuration, and data exploration requests. Be an advocate for our customers to our Product Organization by providing feedback on feature requests and bugs that improve the customer experience of the New Relic platform. Advance your skills through additional training and exposure to other features and capabilities of our Products This role requires Has a track record of providing superior end-user software support via email, phone, and social media Love delighting customers, even those who are having a tough day! Experience b

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 Senior+ AI Infrastructure Engineers to build the systems that train and serve Fin's next generation of AI products. Fin is an AI company that builds from the GPU all the way up to a user agent that resolves millions of customer service queries a month. You’ll join a small, highly technical team working at the cutting edge of modern AI infrastructure. The AI Infra team built the training pipelines and runs the inference for custom models like Fin Apex, which outperforms frontier models in customer service tasks, and is the foundation of the AI Group's full stack approach to AI. We’re particularly interested in engineers who have: A track record of working on model training or model inference at scale , or on low‑level GPU coding (e.g. CUDA, Triton). Experience with one is great, multiple is even better. What will I be doing? As a Senior AI Infrastructure Engineer focused on model training and inference, you will: Implement and scale training pipeli

As a Staff Technical Program Manager, you will partner with key Engineering, Product, Product Design, Marketing, and Analytics stakeholders to deliver Observability features and platform capabilities for MongoDB. As a seasoned program leader, you will be responsible for one of our most mission-critical programs this fiscal year, and own executive level communication related to the program. We are looking to speak to candidates who are based in Dublin for our hybrid working model. The right candidate for this role will be: Experienced with 10+ years of working in an engineering organization leading complex cross-functional technical programs Experienced with 5 years of Software development background, with Cloud storage and compute products Experience with Service Oriented Architecture and Cloud Infrastructure Able to leverage their knowledge and experience to influence technical discussions, summarizing outcomes and next steps Skilled at communicating across a diverse set of engineers and stakeholders Hyper-organized and capable of coordinating across multiple independent work streams and organizations A role model for effective execution practices, driven by an attuned sense of priority and urgency Able to leverage their experience in program delivery to influence improvements to our tools, operations, and architecture Trained in working with project tracking software (e.g. Jira, Rally, MS Project) Familiar with MongoDB or a comparable technology Interested in business automation work such as scripting in Python, Google Apps Script and Slack. Position Expectations: Leverage technical acumen and analytical skills to drive engineering programs forward and maximize business value delivery Recognize patterns in a sea of information and take action accordingly Design, maintain, and improve the processes and tools that power program delivery Build strategic partnerships with Product and Engineering stakeholders Expand knowledge into new domains as called upon Act as a me

We are seeking a Staff engineer to design, build, and operate the internal and external Observability stack for the MongoDB platform. Tens of thousands of customers depend on our Observability stack to monitor their database clusters and to generate actionable alerts to safeguard critical workloads. The Collections team is a newly formed team within MongoDB's Observability & Adoption Org focused on making telemetry onboarding and collection significantly easier across MongoDB. We own key parts of the observability collection stack, including onboarding experience, telemetry collection agents across the data and control planes, and ingestion services for metrics, logs, and traces that support both internal and customer observability in MongoDB, driving insights, recommendations, and alerting. Our mission is to reduce friction for teams implementing and iterating on Observability while partnering closely with development teams to instrument their services using shared best practices, helping define the conventions our telemetry should follow, and building collection and ingestion systems that are stable, performant, secure, well-documented, and self-service. We also work closely with the Data Pipeline and Storage & Query teams to help ensure MongoDB has a stable and performant observability stack end to end. This is an opportunity to join a team shaping how observability works across MongoDB and to have outsized impact on both the developer experience and the reliability of the platform underneath it. As MongoDB Atlas and its supporting infrastructure continue to experience rapid growth, the demand for high-cardinality observability data for internal and external use cases means we need to continually innovate and scale our systems to the next level. For example, MongoDB Observability systems need to handle 10’s of billions of metrics time series, all whilst processing petabytes of logs, traces, and events. Our stack includes VictoriaMetrics, Grafana, Sp

The database market is massive and MongoDB is at the head of its disruption. The MongoDB community is transforming industries and empowering developers to build amazing apps that people use every day. We are the leading modern data platform and the first database provider to IPO in over 20 years. Join our team and be at the forefront of innovation and creativity. We are looking for a Manager / Senior Manager, Sales Strategy & Planning to lead our EMEA Strategy & Planning function. This role sits within our broader Sales Operations organization and serves as a critical business partner to EMEA Sales leadership, helping our field teams move faster, operate with more rigor, and unlock growth. This person will act as the strategic thought partner and operational counterpart to the SVP of EMEA. You will lead a regional Strategy & Planning team, own the operating rhythm of the business, and translate strategy into execution across planning, performance management, organizational design, forecasting, and high-priority initiatives. This is an opportunity to embed yourself as the “COO” of the EMEA business while building the structure, insights, and team capabilities that help the region scale.\ We are looking to speak to candidates who are based in Dublin for our hybrid working model. The role As the Senior Manager, Sales Strategy & Planning - EMEA, you will Serve as the primary Strategy & Planning business partner to the SVP of EMEA, helping shape priorities, drive decisions, and ensure execution against the region’s most important business goals Lead and develop the EMEA Strategy & Planning team, setting priorities, coaching talent, and creating a high-accountability, high-trust team environment Own the analytical rhythm of the EMEA business, including QBRs, MBRs, org deep dives, leadership reviews, and performance readouts Drive annual and quarterly planning for EMEA, including headcount planning, productivity analysis, budget partnership, and exe

We are seeking a Staff engineer to design, build, and operate the internal and external Observability stack for the MongoDB platform. Tens of thousands of customers depend on our Observability stack to monitor their database clusters and to generate actionable alerts to safeguard critical workloads. This is an opportunity to join a team that is responsible for all Observability systems that support metrics, metric visualization, logs, traces, and alerts for MongoDB. We are looking for engineers with high standards, and experience in setting direction and technical leadership for large engineering teams in designing and operating complex distributed systems, with strict SLO on security, durability, availability and performance. As MongoDB Atlas and its supporting infrastructure continue to experience rapid growth, the demand for high-cardinality observability data for internal and external use cases means we need to continually innovate and scale our systems to the next level. For example, MongoDB Observability systems need to handle 10’s of billions of metrics time series, all whilst processing petabytes of logs, traces, and events. Our stack includes VictoriaMetrics, Splunk, Flink, WarpStream/Kafka, Java, Golang Fluentbit. In addition to owning critical components of our observability infrastructure, as a Staff engineer on the team, you’ll also work closely with other SWE, Product and SRE teams to promote and implement best practices in instrumenting and monitoring their services. This is a highly collaborative role, and you will get to own some of the most relied upon internal infrastructure at Mongo. Our team champions a strong culture of inclusivity, diversity, and collaboration. If you want to be a deeply technical leader on a collaborative team that applies low-level systems expertise to build the foundational infrastructure of a popular database, join us! Let’s build a faster, more reliable, and exceptionally observable database system together. W

MongoDB is seeking an Engineering Manager to join the Atlas Organization. The organization is responsible for building MongoDB Atlas, our database-as-a-service offering and fastest growing product. Atlas allows users to deploy fault-tolerant, secure, globally distributed MongoDB clusters in just minutes. This includes developing software to interface with the three major cloud providers (AWS, Azure, and GCP) in order to bring security, durability, availability, and performance to all deployments of MongoDB. The Atlas Data Federation & Archiving team is an engineering team responsible for the Atlas capabilities that allow customers to move data from hot to cold storage and run federated queries over that data. The team builds Atlas Data Federation, a distributed query engine that lets users query data across Atlas Clusters and cloud object storage through a unified service. The team also builds Atlas Online Archive which allows customers to move data from Atlas Clusters into fully managed cloud object storage while preserving a seamless query experience across hot and cold datasets. We are forming a new Atlas Data Federation & Archiving team in the Dublin area. The Engineering Manager who fills this position will be pivotal in growing that team. We are looking to speak to candidates who are based in Dublin and would like a hybrid or in-office working model. What you’ll do Lead a team of motivated individual contributors who are eager to learn and grow Contribute to the code, design, and architecture of the systems your team develops Work with stakeholders throughout MongoDB to build our roadmap and product offerings Work with customers and support engineers to fix issues and become part of our on-call rotation Collaborate with team members to develop our codebase, best practices, and design principles Foster an inclusive and respectful work environment according to MongoDB's Core Values We’re looking for someone who Has at least 6 years of profes

The observability market is shifting from surfacing data to delivering answers. MongoDB is looking for a Staff Product Manager to lead that shift for database users, owning the strategy that takes customers from raw telemetry to AI-powered diagnostics and autonomous remediation, so developers can focus on building great applications instead of managing infrastructure. You will define how MongoDB turns raw telemetry into actionable intelligence, set the vision for AI-powered root cause analysis and proactive recommendations, and shape what best-in-class database observability looks like at global scale. The ideal candidate has experience shipping products that deal with data at scale, can engage deeply with senior engineering on technical architecture, and knows how to balance long-term platform investment against near-term customer value. We are looking to speak to candidates who are based in Dublin for our hybrid working model. What you'll do Define the vision, strategy, and multi-year roadmap for MongoDB observability, balancing the needs of developers, ops teams, enterprise customers, and internal engineering teams Help shape the next generation of AI-powered and agentic observability, including intelligent anomaly detection, automated root cause analysis, and proactive recommendations that help customers resolve issues before they escalate Own product strategy for experiences that span database health, performance diagnostics, alerting, log analysis, and data visualization, creating a coherent observability journey rather than a collection of disconnected tools Identify high-impact opportunities across the observability stack, from how customers monitor and understand their deployments to how MongoDB can reduce the operational burden of managing a database fleet at scale Lead customer discovery with developers, DBAs, and enterprise teams; turn qualitative and quantitative insights into clear product decisions that reduce time spent managing the database and incr

MongoDB’s mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere—on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, it’s no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications. The Escalation Manager is a critical role within Technical Services. As a member of our global Incident and Escalation Management team, they work internally with our Engineering, Services, Sales and Product Management teams, as well as externally with customers and partners, to coordinate and drive the resolution of critical technical issues and incidents. Transparency is key and is achieved by providing timely and accurate updates to senior management regarding active escalations, as well as important detail on the status of the customer account. Individuals in this role are highly organized, proactive and professional. You are one who excels in fast-paced environments and can assess business impact, mobilize cross-functional teams, and drive technical escalations with urgency and ownership. We are looking for someone who has a customer-focused mindset with excellent communication and expectation-setting abilities. You have a technical background in Support, Services, DevOps, Systems Engineering, or Database environments, and are experienced in incident response or crisis management. You will have strong negotiation and objection-handling skill

At MongoDB, we are disrupting industries and equipping developers with the tools to create extraordinary applications that impact daily lives. As the leading developer data platform and the pioneering database vendor to execute an IPO in over two decades, we offer an environment at the cutting edge of creativity and innovation. The international data management software landscape is vast and expanding swiftly. Data from IDC indicates the global database management systems (DBMS) software market was valued at roughly $82 billion in 2023 and is projected to scale to approximately $200 billion by 2030, demonstrating an exceptional compound annual growth rate. We are looking to speak to candidates who are based in Dublin or Cork for our hybrid working model. The Role & Team Overview We are seeking an accomplished technical leader to join our Technical Services organization as the head of the EMEA Incident & Escalation Management teams. In this critical capacity, you will guide the teams responsible for ensuring our clients can smoothly operate MongoDB at scale and seamlessly navigate any technical hurdles. This position demands a leader who can maintain a hands-on approach—taking direct ownership of high-profile escalations that require coordinated corporate responses—while concurrently expanding the team, refining processes, and advancing strategic objectives within a global critical situations management framework. Team Overview: As an integral component of the Customer Organization, Technical Services boasts more than 500 global members across worldwide offices. We maintain industry-leading customer satisfaction metrics through a 24x7x365 'follow-the-sun' support framework, with specialized regional teams across the Americas, EMEA, and APAC. The EMEA team operates out of hubs including Dublin, Milan, Barcelona, and Tel Aviv. Core Responsibilities Collaborating with global leadership to architect and execute strategic plans for critical situations management,

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

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