Nebius
Manager, ML Solutions Architecture - Token Factory
$228K–$285K
Remote - United States +1 · Remote · Manager · Full-time · Posted Aug 19, 2026
- Location
- Remote - United States
United States - Experience
- 3+ years managing technical teams; customer-facing team management experience also required, with no duration stated.
- Visa sponsorship
- Applicants must be authorized to work in the country in which they apply and provide proof of employment eligibility as a condition of hire.
About the job
Leads the US Solutions Architecture team delivering customer proofs of concept and technical support for Nebius Token Factory, from model deployment and inference tuning through production handoff.
What you'll do
- Manage and coach Solutions Architects, including performance reviews, growth plans, onboarding, and engagement assignments.
- Own delivery quality and outcomes, reviewing technical work and ensuring customer success criteria, staffing, and escalations are handled.
- Develop and enforce team processes, documentation, delivery metrics, and cross-functional coordination.
What they ask for
- 3+ years managing technical teams, including performance management and difficult conversations.
- Experience managing a customer-facing team working to customer timelines and handling escalations.
- Strong ML knowledge spanning LLM architectures, fine-tuning, evaluation, inference internals, and frameworks including vLLM, SGLang, and TensorRT-LLM.
- Python proficiency sufficient to read and review team code; strong communication skills for technical and executive audiences.
Nice to have
- Prior customer-facing technical experience at a cloud, inference, or AI infrastructure provider; experience scaling teams or establishing processes and documentation.
- Hands-on production LLM experience, multimodal AI experience, or proficiency with Docker, Kubernetes, and infrastructure-as-code.
Pay
$228,000 — $285,000 USD (base salary)
Tools
Python, vLLM, TensorRT-LLM, SGLang, Transformers, OpenAI/Anthropic SDKs, Kubernetes (K8s), Docker
AI focus
Leads customer-facing deployment, fine-tuning, benchmarking, and inference optimization for open-source LLMs in production.
Model-written summary · the original posting is authoritative