About the company
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.
Responsibilities
- Lead the go-to-market strategy and execution for training programs, certification exams, and other ecosystem partnerships.
- Build a measurement framework that provides clear visibility into expected outcomes for marketing initiatives and enables continuous tracking of traction.
- Establish the presence of our offerings within relevant professional communities.
- Define positioning, messaging, and differentiation for Nebius Certification across different target segments.
- Partner closely with Product and Engineering teams to shape roadmap priorities through customer, market, and competitive insights.
- Support Sales enablement by creating pitch decks, competitive messaging, and case studies.
Requirements
- 3+ years of experience in product marketing or related marketing roles.
- Strong sense of ownership and initiative.
- Experience managing marketing campaigns.
- Experience with CRM and marketing automation tools (e.g., HubSpot).
- Strong cross-functional collaboration skills.
- Excellent time management and prioritization skills.
- Upper-Intermediate (B2) or higher level of English.
- Background in or strong interest in AI-powered products.
- Experience using analytics to drive marketing decisions.
- Strong attention to detail and commitment to quality.
Conditions
- Competitive compensation
- Career growth and learning opportunities
- Flexibility and ownership
- Collaborative and innovative culture
- Opportunity to work on impactful AI projects
- International environment and talented teams