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Manager, ML Solutions Architecture - Token Factory

Nebius· Solutions Architecture (CD)
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Remote$228k - $285kfull-timePosted 2mo ago

About the role

Leader for US regional ML Solutions Architecture teams within Nebius Token Factory, focusing on PoC delivery and post-sales technical support for OpenAI-style LLM hosting, fine-tuning, and production inference on a serverless platform.

Responsibilities

  • Manage a team of 4 Solutions Architects, with growth planned: 1:1s, goal setting, performance reviews, promotion cases, and individual growth plans
  • Build an accurate picture of each SA's strengths, gaps, and preferences, and allocate accounts and engagements against expertise and interest
  • Run cadence to surface blockers and coordinate with development, product, and business teams to clear them
  • Hold people to outcomes and reflect results in ratings and compensation decisions
  • Onboard new joiners through to their first independently delivered engagement
  • Coach SAs into stronger engineers and communicators, and determine readiness for more scope
  • Be accountable for team delivery outcomes: PoC to first optimized dedicated endpoint, success-criteria hit rate, quality of technical relationships post-production
  • Review technical work before it reaches the customer: benchmarking methodology, serving configurations, results, closure documents
  • Ensure staffing and escalation coverage across accounts and timezones
  • Call infeasibility early with evidence to avoid wasted iterations
  • Maintain and extend team documentation, runbooks, onboarding, definitions of done, engagement closure templates
  • Get documentation used and actionable
  • Keep ticket tracker as system of record for PoC and production status
  • Instrument the work by defining and reporting delivery metrics
  • Coordinate across Development/Research, Pre-sales, Account Management, and leadership to translate customer needs into roadmaps and smooth handoffs

Qualifications

  • 3+ years managing technical teams, including performance management and difficult conversations
  • Experience managing a customer-facing team (visible work to customers, on customer timelines, with escalations)
  • Strong ML knowledge: LLM architectures, fine-tuning (SFT/LoRA, RL-based), evaluation design, inference internals (quantization, KV-cache management, batching, routing, speculative decoding) and frameworks (vLLM, SGLang, TensorRT-LLM)
  • Judgment to review benchmarks and identify methodological flaws
  • Strong Python proficiency for reading/reviewing code
  • Excellent communication skills for diverse audiences and enterprise customers under pressure
  • Tolerance for operational work: documentation, process design, reporting, and durable follow-through
  • Comfort operating with ambiguity across distributed teams/timezones with a bias toward documentation

Skills

Required:People management and performance managementCustomer-facing leadershipMachine Learning / LLM knowledgePython

Benefits

  • 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
Last updated Oct 7, 2026. Interested? Apply on the company site.
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