Internal Audit Data Analytics Lead Salary India in Cork

We are looking for a Senior Payroll Specialist to serve as a subject matter expert on our Global Payroll team, with ownership of payroll operations across LATAM (Brazil and Mexico). Reporting to the Senior Payroll Manager, this role partners closely with HR, Finance, and external vendors to ensure accurate, compliant, and timely payroll delivery. We are looking to speak to candidates who are based in Cork for our hybrid working model. Responsibilities: Prepare and review advance, monthly and supplemental payrolls for our LATAM operations including salary, equity, benefits, and variable pay Manage Brazil 13º salário (13th month salary), férias (vacation), and rescisão (termination) calculations and payments Manage Mexico Christmas Bonus, profit sharing and terminations calculations and payments Single point of contact (POC) for all LATAM issues. Resolve all issues in a timely manner and within global payroll SLAs Reconcile payroll and support monthly/quarterly/annual accounting close processes Build internal LATAM payroll expertise, reducing reliance on external consultants through hands-on guidance and more efficient processes Issue union due slips and submit for payment Prepare the income tax DARF and reconcile the amounts according to the appropriate period Deep, current knowledge of Brazilian labor law (CLT), social security and tax obligations, and the eSocial/FGTS Digital ecosystem Own LATAM payroll-related employee lifecycle processes, including onboarding,

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 reli

MongoDB’s Marketing Technology team is looking for a Senior Manager, Martech Transformation to support the implementation and ongoing optimization of our Adobe technology ecosystem. This is a senior individual contributor role with program management ownership, focused on driving the adoption, configuration, and integration of Adobe solutions across MongoDB’s marketing organization. The ideal candidate brings deep hands-on expertise with Adobe enterprise products, a strong product mindset, and the ability to operate as a strategic partner to marketing, IT, and analytics teams. You’ll serve as the internal subject matter expert on Adobe, owning the roadmap for implementation, governance, and continuous improvement across the suite. We are looking to speak to candidates who are based in Dublin or Cork for our hybrid working model. Main Responsibilities Lead the implementation, configuration, and rollout of Adobe suite products across Marketing, including parts of AEM, Marketo Engage, Workfront, CJA, RTCDP, etc Act as the primary program manager for Adobe initiatives: defining project scope, timelines, stakeholder alignment, and delivery milestones Partner with Campaign Operations, Architects, Platform owners, IT, and Engineering to integrate Adobe products into the broader MarTech ecosystem Translate marketing requirements into scalable technical configurations and workflows across Adobe products Establish governance frameworks, documentation standards, and change management pr

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. As the Site Reliability Engineering Manager for SLS, 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 help grow and lead 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. We are looking to speak to candidates who are based in Cork for our hybrid working model. Responsibilities Build and lead a team of 6-8 engineers, fostering a positive culture, handling career growth and performance conversations, and proactively removing blockers Define and drive a clear technical vision and comprehensive roadmap for our multi-tenant distributed storage systems, balancing long-term strategic infrastructure goals with immediate engineering needs Contribute through hands-on technical work, such as leading architectural design reviews, reviewing PRs, and stepping in to guide the team through complex operational challenges Act as the primary liaison for

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

As Senior Data Scientist for Engineering Systems you will work independently alongside sharp, generous, and pragmatic engineers from Server Query, Atlas Clusters, and Release Quality, among other teams. Together, we tackle problems spanning resource scaling across the Atlas fleet, safe feature rollout to MongoDB clusters, automated incident response and query engine performance. Join the Platform Data Science team and help us research, prototype and ship machine learning features for MongoDB’s core server, query engine and Atlas, our database-as-a-service cloud offering. We are looking to speak to candidates who are based in Dublin or Cork for our hybrid working model. What You'll Do Partner with Server Query, Atlas Clusters, Release Quality and other engineers to embed algorithmic rigor and optimization into resource scaling, release-safety and monitoring systems across the fleet and inside query engine Deliver production-ready, thoroughly tested statistical and ML algorithms with well-identified limitations that deliver measurable business impact, not just an impressive-sounding methodology Own the full feedback loop: instrument model architecture with the metrics needed to track performance and create dashboards in collaboration with our stellar analytics team, collect feedback from users and metrics to diagnose issues or opportunities, and iterate accordingly Deliver thoughtful, kind code reviews to your peers and act as a core contributor to internal packages, tooling, a