Top Tech Jobs & Startup Jobs

Lead negotiations for customer, SaaS, reseller, vendor, partnership, and service-level agreements. Advise go-to-market teams on legal risk, negotiate data processing agreements, support privacy and data protection compliance, manage cross-border transactions, and improve contract templates, playbooks, and legal workflows. The role also provides guidance on intellectual property, copyright, AI, and technology-related legal matters.

Leads the global employee relations and performance management strategy, including policies, complex cases, investigations, grievances, disciplinary matters, works council engagement, employment-law compliance, risk management, manager capability building, and case reporting. Serves as a senior advisor to leaders, People teams, and Legal while ensuring fair, consistent, and legally compliant employee practices across jurisdictions.

Lead the global employee relations and performance management strategy, including policies, governance, complex case oversight, investigations, disciplinary and grievance processes, and organizational change consultation. Build effective works council and employee representative relationships, manage employment-law and reputational risks, advise senior leaders, strengthen manager capability, and use case data to identify trends and improve organizational practices.

Execute and control corporate travel and expense processes, including expense review, corporate card reconciliation, travel bookings, employee support, GL coding, accruals, reporting, compliance checks, audit documentation, and process improvement. The role applies travel expertise across airfare rules, booking systems, changes, cancellations, country-specific tax requirements, and T&E controls while partnering with Finance, Payroll, HR, travel providers, and system vendors.

Own Nebius’s global SEO and GEO strategy, including technical SEO, content optimization, AI-search visibility, analytics, experimentation, and organic growth measurement. Build roadmaps, dashboards, and scalable operating processes; partner with content, engineering, product marketing, and analytics teams; improve search rankings, AI citations, qualified traffic, conversions, and pipeline impact. Advise senior stakeholders and develop AI-enabled workflows for research, monitoring, briefing, and optimization.

Lead a Platform Experience product group to define vision, strategy, and metrics; manage and grow PMs; create a consistent API-first developer experience across CLI, SDKs, Terraform and docs; reduce time-to-first-value from PoC to production; evolve quotas, capacity and multi-tenant resource models; and unify customer notifications and communications.

Develop and optimize GPU clusters and InfiniBand networks for hyperscale HPC environments. Responsibilities include troubleshooting hardware and infrastructure issues, integrating new GPUs through Kubernetes, QEMU, and KVM, managing GPU devices and InfiniBand fabrics, tuning performance, and improving automated monitoring and fault resolution.

Conduct frontier applied research on efficient AI model architectures, including sparse attention, long-context memory, selective computation, dynamic inference, reasoning, and continual adaptation. Formulate research questions, design rigorous experiments at meaningful scales, develop efficient implementations, publish findings, contribute to open-source tools and models, mentor researchers, and help direct the research stream.

Develop and manage AI and ISV partner business development initiatives for Nebius’s AI cloud platform. The role involves collaborating with partners, managing strategic relationships, and supporting growth across AI infrastructure and cloud services. The posting provides limited specific responsibilities or qualifications, but emphasizes English proficiency and authorization to work in the country of application.

Own optimization of LLM and VLM inference systems from model artifacts through production deployment. Improve latency, throughput, memory efficiency, GPU utilization, quality, reliability, and cost per token. Deploy and extend inference engines, build model-compression workflows, implement decoding and KV-cache optimizations, create benchmark harnesses, and diagnose bottlenecks across models, kernels, runtimes, schedulers, gateways, and clusters. Collaborate with research, infrastructure, product, kernel, and customer teams.