Top Tech Jobs & Startup Jobs in Dublin

Own complex accounts payable activities, resolve escalations and vendor disputes, support month-end close and reconciliations, maintain AP controls, and assist with audits. Serve as a senior stakeholder contact, mentor junior accountants, and contribute operational expertise to continuous improvement initiatives across multi-currency, multi-entity environments.

Lead cross-functional programs that expand AI infrastructure through asset-light partnerships. Develop commercial frameworks, term sheets, business cases, and contractual structures; coordinate Finance, Legal, commercial, technical, and operational stakeholders; assess financial and commercial trade-offs; prepare recommendations for senior leaders; and establish repeatable partnership processes. This individual contributor role requires influencing without formal authority and driving complex initiatives from strategy through negotiation and implementation.

Owns end-to-end product and commercial analytics for an AI cloud platform, including metric definition, customer health, capacity forecasting, utilization, pricing, packaging, segmentation, and monetization. Analyzes large-scale customer and usage datasets, builds production-ready data solutions, and delivers recommendations across Product, Engineering, Finance, Sales, and Operations. The role requires strong Python, SQL, statistics, commercial judgment, and familiarity with consumption-based technical products.

Manages commercial strategy, negotiation, administration, risk, cost control, claims, changes, supplier performance, delivery milestones, and closeout for high-value OFCI equipment contracts supporting data center projects. Partners with procurement, legal, finance, tax, insurance, and project teams while maintaining contract governance, payment controls, and auditable records.

Own the strategy, roadmap, outcomes, launch, and adoption of a core AI inference platform stream. Align engineering and research teams across APIs, routing, performance, reliability, and enterprise features. Partner with customers through research and proofs of concept, assess inference markets and economics, and translate customer and industry insights into scalable, reliable, cost-efficient product capabilities.

Own the anti-fraud product roadmap across signup, payments, account protection, compute-abuse prevention, risk scoring, manual review, customer verification, and appeals. Partner with Trust & Safety, Engineering, Data Science, Analytics, and Legal to define detection rules, models, incident responses, experiments, and compliance processes. Monitor fraud losses, chargebacks, false positives, review throughput, and detection speed while minimizing customer friction.

Serve as the technical partner interface to design, build, and maintain integrations and reference implementations between Nebius and strategic partners. Architect enterprise-ready solutions for GPU-accelerated AI/ML workflows, enable partner teams with docs and demos, influence product roadmap, and provide technical leadership for complex joint deployments and troubleshooting.

Owns Nebius’s global third-party logistics warehouse network and partner performance. Manages contracts, SLAs, operational standards, inventory accuracy, audits, compliance, costs, incident resolution, onboarding, exits, and continuous improvement across external warehouses. Coordinates with logistics, transport, planning, IT, security, procurement, legal, and project teams while leading 3PL specialists and conducting regular site visits.

Develop and deploy machine learning models for retrieval, reranking, indexing, search relevance, crawling, and content understanding. Build large-scale embedding and retrieval systems, evaluation pipelines, and quality metrics for agent-native search. Integrate models into high-throughput production services while balancing latency, quality, and cost. Collaborate on architecture and product decisions involving search, retrieval, and LLM-based systems.

Design and implement large-scale browser-based rendering infrastructure to execute and extract structured content from JS-heavy web apps. Improve rendering quality, performance, cost, and throughput at internet scale and productionize rendering research.