Jobs at Nebius

Design, build, and operate a production-grade billing platform for an agentic search API: metering, aggregation, prepaid wallets, subscriptions, enterprise contracts, reconciliation, idempotency, invoicing, migration to a new billing system, observability, and SOX/compliance readiness.

Own month-end close and ensure accurate financials; analyze variances and complex transactions; manage statutory and tax compliance (VAT, CIT, filings, audits); post adjustments in ERP and reconcile NetSuite with local reporting; coordinate with Tax, Legal, external consultants and auditors; maintain internal controls and documentation; identify process improvements and automation opportunities.

The Founding Enterprise Customer Success Manager will establish Tavily's customer success function in EMEA, guiding enterprise clients from onboarding to renewal and expansion while collaborating with internal teams and advocating for customer needs.

Manage IT infrastructure projects and changes in data centers, focusing on GPU clusters, operational activities, stakeholder communication, and technical problem-solving.

Build and operate a managed PostgreSQL service for AI workloads: develop control plane and lifecycle automation in Go, tune PostgreSQL internals and ecosystem tooling, create migration tooling, integrate vector search, run SRE practices (SLOs, observability, incident response), and work directly with customers on architecture and escalations.

Lead end-to-end site selection and colocation strategy for global data center growth. Conduct market analysis, technical and environmental due diligence, manage RFPs and vendor contracts, coordinate cross-functional stakeholders, assess risks and ensure regulatory compliance and permitting.

The Compliance Due Diligence Specialist will conduct assessments for third parties, manage due diligence processes, and improve compliance operations.

The IT Infrastructure Engineer will troubleshoot server hardware issues, manage RMA processes, create documentation, and act as a subject matter expert for technical teams.

Manage IT support operations in data center, oversee GPU clusters, resolve incidents, and lead support teams to ensure operational efficiency.

As a Senior Support Engineer, you will troubleshoot complex issues in cloud environments, focusing on Linux and Kubernetes, and assist customers with AI workloads. You will also improve internal tools and processes while communicating effectively with clients during incidents.

Develop and qualify sales pipeline in Israel through outbound outreach and inbound lead qualification, working with AEs, Marketing and Product. Conduct discovery calls, book meetings, represent Nebius at events, gather market intelligence, and optimize outreach metrics to accelerate growth in Israeli markets.

The Senior Network Engineer will design, manage, and optimize large-scale data center networks for AI workloads, ensuring reliability and performance.

As a Senior Data Center IT Technician, you will troubleshoot hardware issues, manage problem resolutions, create documentation, and collaborate on hardware improvements.

Support IT operations across multiple datacenters, focusing on hardware and firmware troubleshooting, process improvement, and collaboration with R&D. Travel for hardware projects is required.

The Data Engineer will design and maintain scalable data pipelines, optimize data infrastructure, monitor data quality, and enable analytics capabilities, ensuring alignment with business goals.

The Technical Recruiter will manage end-to-end hiring for engineering roles, focusing on sourcing, screening, and pipeline management while collaborating with hiring managers.

Advise AI-focused customers to design scalable AI solutions and manage large-scale GPU deployments. Deliver technical presentations, documentation, and webinars. Collaborate with engineering and product teams to prioritize and convey customer feedback.

Design, operate and troubleshoot large-scale data center and backbone networks including InfiniBand GPU cluster interconnects. Provide technical design and operational support, develop monitoring and automation tools, document network designs, test infrastructure and vendors, and support launch of new cloud regions.

Lead applied research and system design for agent-native search: develop multi-stage retrieval, ranking, and grounding methods for LLMs working with real-time web data; define evaluation paradigms; optimize relevance, latency, and cost; deploy solutions to production and mentor the engineering team.

Design, train, and deploy retrieval, reranking, and relevance ML models for a production agent-native search platform. Build embedding-based indexing and large-scale retrieval systems, define evaluation metrics and pipelines, optimize latency/quality/cost trade-offs, and collaborate with engineers to integrate models into 24x7 production services.