Plant Security Head in Cork

MongoDB is seeking a Senior Financial Analyst to grow our GTM FP&A team. You will be responsible for financial planning, forecasting, reporting, and partnering with the business to drive decision-making and resource planning. The Senior Analyst is expected to make significant contributions to the success of MongoDB by working with executives and team leaders to evaluate, plan, execute, and measure strategic business initiatives. This position requires an adaptable self-starter who is able to work comfortably and communicate clearly with stakeholders across the organization, takes tasks from start to finish and someone who enjoys working in a fast-paced, challenging environment. This will be a hybrid role in our Dublin or Cork office for two days per week, reporting to management in NYC. Responsibilities: Business Partnering: Quickly establish positive relationships and become a key advisor for your GTM partners across the Sales Development, Sales Enablement, Sales Acceleration, and Sales Operations departments allowing you to build a solid understanding of business drivers and ensuring alignment with company objectives Forecasting: Build and maintain detailed financial and operating models to support your stakeholders in all aspects of their budgets and forecasts including headcount planning and resource optimization Analyzing: Conduct ad-hoc analyses and build financial models to guide leaders toward efficient operating strategies, resource allocation, and investments in GTM initiatives Reporting: Support financial month-end close activities, including headcount reconciliations, accrual reviews, and budget vs. actuals analysis and financial reporting Operational Effectiveness: Improve and scale business, operational, and financial processes understood by all key stakeholders, including standardizing and automating reports and improving how we leverage internal systems and tools What You'll Need: Bachelor’s Degree; finance, business or economics preferred 3-5 ye

Work Flexibility: Onsite This role will be based in one of our Cork sites. Providing manufacturing, product and process co-ordination support to the manufacturing line and Line Support. This is a great opportunity for students who are interested learning more about manufacturing operations. Throughout the placement, you will be an integral part of Stryker’s 2027 Cooperative cohort. Tasks and responsibilities may include: Coordinate and prioritise production to meet customer requirements, maintain inventory levels and relevant Key Production Indicators (KPIs) as per the plan developed with the Operations Supervisor. Communicate and record output levels. Support the Supervisor and Operations Associate in the maintaining of the Daily Management records. Collaborate with NPI teams to ensure that builds are prioritised and progressed through the line as per required timelines. Identify and manage training priorities vs business needs monthly Support the Line Support Team with the formation of a training schedule and ensuring the execution of the plan, ensuring versatility, station rotation and line staffing plans are adequate to meet business needs. Train & support the line SME’s in delivery of training. Support the implementation, and scheduling of training for document changes. Support the Supervisor and Operations Associate in developing Production Training plans for new hires and ensure cross-training plans for employees are implemented. Support the Operations Associate in the upkeep of the SLMS training & ensuring that training is effectively recorded in line with QMS. Reviews overtime needs

Join the MongoDB Server Query team, and help us build a world-class distributed open source query engine. Our team plays a crucial role in the experience and performance of data processing. We are responsible for the MongoDB Query Language and the lifecycle of each query, from parsing to optimization to plan selection and finally execution. This also includes our geospatial search and update subsystems. Our global team is growing fast. In North America, we have a presence across the US and Canada including New York, West Coast, Toronto. In Europe, we have a presence in Dublin, Germany, France, Netherlands, UK, Bulgaria, Spain and Italy currently. We support office-based and remote work and align projects with convenient work hours for each time-zone. We have tons of interesting problems to solve with direct impact on users for transactional, time-series and analytical workloads. We need your help to design and build the heart of a distributed, flexible schema, document database. We are looking to speak to candidates who are based in Dublin or Cork for our hybrid working model. Candidate Profile 3+ years of experience in data intensive environments Hands-on experience building industrial-strength software Solid computer science fundamentals, with strong competencies in data structures, algorithms, and software design/architecture Experience with large code bases B.Sc in Computer Science or similar field, or equivalent practical experience Experience in C++ and in developing database systems is a plus Interest in the theory and practice of database query engines. Hands-on experience or M.Sc./Ph.D in the domain is a plus Position Expectations Understand and improve current functionality of the MongoDB query engine Identify, design, implement, test, and support new features related to query performance and robustness, query language enhancements, diagnostics for query performance problems, and integration with other products and tools Work with other engineers to

The Team MongoDB’s Storage Layer Services (SLS) team is re-architecting the MongoDB cloud storage layer and sits at the heart of our next-generation cloud storage architecture. This relatively new team is building performant, multi-tenant distributed storage services that both enhance today’s Atlas storage stack and enable more customer workloads to run more efficiently. You will partner with the teams building these storage services to define SLOs, shape capacity plans, and ensure the reliability, durability, and operational safety of the storage layer that underpins Atlas. You’ll join a small, senior team of SREs as founding members of this organization, playing a crucial role in executing on a multi-year roadmap for MongoDB’s cloud storage architecture. This role can be based out of either our Dublin or Cork office or remotely in Ireland. The ideal candidate should Have 6+ years of experience working on software development and operating distributed systems Proficiency in Python, Go, or a similar language Have operated or supported stateful storage or database systems at scale, and are comfortable with durability, consistency, and recovery trade-offs. Possess a customer-focused mindset Value efficiency in processes and operations Prefer automation over manual processes. We are a small team of software engineers with a strong bias towards software solutions to avoid toil Experience using and extending containerization technologies, particularly Kubernetes, to enhance application agility, optimize resource utilization, and accelerate time-to-market Expertise in cloud infrastructure platforms, including AWS, Google Cloud Platform (GCP), or Azure Understanding of Linux operating system internals and networking concepts (e.g., TCP/IP, DNS, TLS, routing) Responsibilities Work on our multi-tenant distributed storage systems, balancing long-term strategic infrastructure goals with immediate engineering needs Build for reliability, making services and infrastructure avail

Work Flexibility: Hybrid Job Description Lead Process Development Engineer (Senior Staff) Location: Carrigtwohill, Ireland Work Arrangement: Hybrid Join Stryker's NPI team and play a key role in developing the advanced manufacturing processes used to produce precision surgical blades that support knee replacement procedures. As a senior technical contributor, you will lead end-to-end process development activities, working directly with industrial laser welding, CNC equipment, and validation methodologies to create robust, scalable manufacturing solutions . This role combines hands-on engineering, technical leadership, and innovation to bring new manufacturing technologies from concept to production. Characterise, develop, and optimise manufacturing processes through hands-on testing, analysis, and process experimentation. What You Will Do Lead engineering projects by defining technical objectives, determining project direction, and driving successful outcomes. Lead capital equipment acquisition activities including equipment specification, supplier engagement, installation, and validation. Develop, characterise, and optimise manufacturing processes through hands-on testing, analysis, and process experimentation. Provide engineering support for new product and process introductions in accordance with established product development procedures. Ensure manufacturing processes meet product, quality, regulatory, and operational requirements. Participate in Process Failure Mode and Effects Analysis (PFMEA), Control Plans, Standard Operating Procedures (SOPs), and Production Part Approval Process (PPAP) activities. Review and approve validation documentation and support

GTM Operations & Strategy at MongoDB is a global team of builders and innovators focused on unleashing MongoDB’s sales greatness by pairing world‑class analytics with scalable operations. Within GTM Operations, the GTM Intelligence – Applied Science team turns complex GTM data into tools, models, and insights that help our sales organization make better, faster decisions across our people, segmentation, territory design, forecasting, and account prioritization. As a Senior Analyst on the Applied Science team, you will own high‑impact analytical workstreams end‑to‑end: from problem framing with senior GTM stakeholders, to data engineering and model design, through to productionalized workflows, dashboards, and executive‑ready narratives that drive concrete changes in the field. This role is based in Dublin, Ireland and supports a global stakeholder set across regions and GTM functions. We are looking to speak to candidates who are based in Dublin or Cork for our hybrid working model. What You’ll Do Translate GTM questions into analytical projects Partner with GTM Ops, Sales Strategy & Planning, Sales Leadership, and Central Analytics to scope problems, define success criteria, and prioritize work across areas like segmentation, territory design, account prioritization, and pipeline/forecast health. Structure ambiguous questions into hypotheses, analytical plans, and clear recommendations for senior stakeholders (SVPs, RVPs, functional leaders). Design and build scalable analytics & models Develop and maintain statistical and machine learning models (e.g., NARR prediction, deal qualification, account momentum, workload identification) that inform forecast expectations, territory assignments, and deal prioritization. Engineer robust data pipelines and features (SQL/Python) on top of our GTM data stack (Salesforce, product usage, call transcripts, marketing signals, etc.) in partnership with data and platform teams. Own core GTM analytics assets Contribute t