about 2 hours ago
Remote, Worldwide +6 moreSenior
Responsibilities
- Serve as the primary technical point of contact for troubleshooting and resolving complex AI/ML issues.
- Guide customers in optimizing GPU performance for ML training and inference workloads.
- Partner with the sales team to identify new opportunities and deliver technical presentations.
- Act as a bridge to product teams, providing customer feedback and ensuring alignment with customer requirements.
- Engage with internal and external stakeholders to negotiate solutions and address customer challenges.
Requirements
- 5+ years of experience in roles like Solutions Architect, Technical Account Manager, or Customer Engineer.
- Hands-on experience in cloud services and AI/ML workloads.
- Proficiency in Infrastructure as Code (IaC) tools like Terraform and Ansible.
- Experience with Kubernetes and Python programming.
- Solid understanding of GPU computing, including ML training and inference workloads.
- Customer-centric approach with a proven ability to build trust and foster long-term relationships.
- Strong ability to explain technical concepts to technical and non-technical audiences.
Benefits
- Competitive salary and comprehensive benefits package.
- Opportunities for professional growth within Nebius.
- Flexible working arrangements.
- A dynamic and collaborative work environment that values initiative and innovation.