ML Solutions Architecture Lead — US Remote

Nebius Group; Amsterdam; Remote; EUR 205,000 - 256,000; Full time

Benefits offered by this job

Competitive compensation

Career growth and learning

Flexibility and ownership

Collaborative culture

Impactful AI projects

International environment

Job summary

Nebius is hiring a Manager, ML Solutions Architecture to lead US-regional SA teams. You will own PoC delivery, post-sales support, and the technical relationship through production. You will report to the Head of Solutions Architecture and collaborate with a peer manager in the other region.

The role emphasizes leadership, documentation, and cross-team coordination, with remote work from the United States and a focus on enterprise customers in AI infrastructure and cloud services.

Qualifications

• 3+ years managing technical teams and handling difficult conversations.
• Experience managing a customer-facing team with deliveries on customer timelines.
• Strong ML knowledge: LLM architectures, fine-tuning (SFT/LoRA), evaluation design, and inference internals like quantization, KV-cache, batching, routing, and speculative decoding.

Responsibilities

• Lead the team of 4 Solutions Architects with growth plans and performance reviews.
• Own delivery: ensure PoC to endpoint delivery and success criteria.
• Own the operating system of the team: documentation, runbooks, and reliable ticket tracking.
• Work across teams: coordinate with development, pre-sales, account management and leadership.

Skills

Managing customer-facing teams

ML knowledge

Python

Communication

Documentation & processes

Tools

Docker

Kubernetes

Infrastructure as code

Job description

Nebius is hiring a Manager, ML Solutions Architecture to lead US-regional SA teams. You will own PoC delivery, post-sales support, and the technical relationship through production. You will report to the Head of Solutions Architecture and collaborate with a peer manager in the other region.

The role emphasizes leadership, documentation, and cross-team coordination, with remote work from the United States and a focus on enterprise customers in AI infrastructure and cloud services.