Enterprise Applications Engineer

About Nebius:

Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.

Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.

Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.

The role 

We are seeking an experienced Enterprise Applications Platform Specialist to own the full lifecycle of our enterprise application ecosystem—from evaluation and procurement through deployment, optimization, renewal, and retirement. This role will manage and govern a diverse portfolio of critical platforms, including Slack, Zoom, Miro, Atlassian (Jira, Confluence), Microsoft 365, DocuSign, and other collaboration, HR, finance, security, and AI-driven tools.
This is a highly cross-functional role requiring strong ownership, hands-on SaaS expertise, and the ability to independently lead initiatives that improve reliability, scalability, automation, and operational excellence across the enterprise.

This is a **remote role in US.

**

Your responsibilities will include: 

• Own the end-to-end lifecycle management of enterprise SaaS applications, from evaluation and procurement to deployment, optimization, renewal, and retirement.
• Manage the enterprise application portfolio, including major platforms such as Slack, Zoom, Miro, Atlassian (Jira, Confluence), and other collaboration, HR, finance, and security tools.
• Lead SaaS procurement and vendor management, including contract negotiations, renewals, cost optimization, and license management.
• Drive SaaS testing, onboarding, and rollout, ensuring tools meet business, security, and compliance requirements.
• Partner closely with Security, Legal, Privacy, AI, SOX, and Compliance teams to conduct risk assessments, security reviews, and ongoing audits for all managed tools.
• Evaluate and assess AI-driven tools and platforms, stay current on market trends, and guide decision-making on AI adoption across the enterprise.
• Ensure security, compliance, and data integrity across all enterprise applications.
• Act as a key stakeholder in security and compliance reviews, including vendor risk assessments and AI governance.