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Nebius

Manager, ML Solutions Architecture - Token Factory

Nebius · Remote - United States

Posted about 2 months ago

or apply directly on Nebius's site. We never take the application ourselves.

Is this posting real?

This role has been open
66 days
Nebius's roles stay open a median of 83 days
Reposted
No
Salary listed
No
9% of Nebius's roles list one
Ghost-job risk at Nebius
high
384 stale, 17 reposted of 384 open
Hiring momentum
508 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-25

Measured from postings appearing on and disappearing from Nebius's own greenhouse board since 2026-08-03. Full hiring picture for Nebius.

About this role

The Manager, ML Solutions Architecture at Nebius will lead a team of Solutions Architects focused on delivering customer engagements related to open-source LLMs in production. Responsibilities include managing team performance, ensuring high-quality technical delivery, and maintaining operational documentation. The role requires close collaboration with various teams to address customer needs and improve delivery processes.

Our read on this posting3.0out of 5
benefits
3/5
freshness
4/5
career value
4/5
role clarity
4/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Nebius as an employer.

What you need

  • 3+ years managing technical teams, including performance management and difficult conversations
  • Experience managing a customer-facing team
  • Strong ML knowledge: LLM architectures, fine-tuning approaches, evaluation design, and inference internals
  • Technical judgment to review benchmarking methodologies
  • Proficient in Python
  • Excellent communication skills for diverse audiences

Nice to have

  • References from former managers and direct reports
  • Experience scaling a team through rapid growth
  • Prior experience in a customer-facing technical function at a cloud or AI infrastructure provider
  • Experience defining process and documentation for a team
  • Hands-on background running LLMs in production

What you get

  • 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

Worth weighing

  • No specific details on the company's technology stack beyond preferred tools
  • Role involves significant operational work which may not appeal to all candidates
  • High level of accountability and performance management may create a challenging environment

Summarised from Nebius's posting. Read the full original.

Listed by Nebius on their greenhouse job board, last confirmed open on 2026-10-25. PitchMeAI is not the employer.

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