описание
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.
задачи
- Develop joint value propositions that combine Nebius with partner products or services, defining target customers, priority use cases, technical differentiation and business outcomes.
- Work with Channel and Nebius sales and marketing teams on joint go-to-market plans, account opportunities, co-selling activities, solution messaging and customer presentations.
- Lead joint customer discovery and solution discussions. Agree proof-of-concept success criteria and coordinate partner and Nebius specialists through technical validation and deployment planning.
- Enable VAR partners to qualify opportunities, position Nebius, design customer solutions and package their implementation or managed services around our platform.
- Help technology partners, including software vendors and data or AI platforms, define joint solutions, integration priorities and validation plans with their product and engineering teams.
- Build lasting relationships with partner engineering teams. Translate requirements and customer feedback into actionable plans, coordinate experts and influence product priorities.
- Track partner readiness, joint solution adoption and contributions to pipeline and customer wins. Use these results to improve enablement and scale successful partner activities.
требования
- 5+ years in solutions architecture, technical presales or partner technical roles, with substantial experience supporting Channel and Technology partnerships.
- Demonstrated success enabling both VARs and technology partners, including examples of partners independently positioning solutions, pursuing opportunities or delivering joint offerings.
- Experience building joint value propositions and taking partner solutions to market, with evidence of customer wins, adoption growth or commercial impact.
- A track record of building partner enablement programs and adapting content for sales, presales and engineering audiences.
- Strong cloud architecture fundamentals across compute, storage, networking and security, with the ability to explain trade-offs and connect technical decisions to customer needs.
- Experience earning trust with partner engineering and product teams, working effectively with internal engineers and coordinating delivery across organizations without direct authority.
- Clear communication with engineers and business leaders, sound commercial judgment and an understanding of how resellers and technology partners make money.
- A relevant degree or equivalent professional experience, plus curiosity about AI infrastructure and the ability to learn new platforms quickly.
- Будет плюсом: Hands-on Kubernetes and container platform experience, including deployment automation with tools such as Terraform; Experience with GPU-based workloads, HPC or distributed AI/ML workloads, including training, fine-tuning, inference or MLOps; Practical integration development using APIs, Python or infrastructure as code, or experience building reference implementations and technical demonstrations; Familiarity with AI software ecosystems or partner solutions built around major cloud and data platforms
условия
- You’re welcome to work from our office in Amsterdam or remotely from any EU country.
- 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
- Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
навыки
компания
ИИ-облако для обучения и запуска моделей.