Nebius Group

Senior Technical Product Manager – Token Factory, Inference

Nebius Group

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇺🇸 United States

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Salary

💰 $204,000 - $255,000 per year

Job Level

Senior

Tech Stack

CloudRay

About the role

  • Own the product roadmap for Nebius Token Factory inference capabilities, focusing on high-load, production-grade ML scenarios.
  • Be involved in customer PoCs involving distributed ML model deployment, inference orchestration, and optimization.
  • Work closely with engineering and research teams to shape scalable infrastructure for real-time and batch inference.
  • Act as the technical voice in customer conversations, translating ML workflows into product requirements.
  • Drive product adoption by delivering tools and features that solve real-world inference problems at scale.

Requirements

  • 3–5 years of product management experience, ideally in cloud infrastructure, ML platforms, or developer tools.
  • Strong technical foundation (e.g. Computer Science or Engineering degree) with ability to dive deep into model architectures and serving systems.
  • Familiarity with modern ML inference tools and frameworks (e.g., Triton Inference Server, vLLM, SGLang, TensorRT-LLM, Dynamo, KServe, Ray Serve).
  • Proven track record of delivering technically complex products that support distributed and high-throughput ML pipelines.
  • Strong communicator with experience working across engineering, research, and customer-facing teams.
Benefits
  • Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families.
  • 401(k) plan: Up to 4% company match with immediate vesting.
  • Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
  • Remote work reimbursement: Up to $85/month for mobile and internet.
  • Disability & life insurance: Company-paid short-term, long-term and life insurance coverage.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
product managementcloud infrastructureML platformsmodel architecturesserving systemsdistributed ML model deploymentinference orchestrationinference optimizationhigh-throughput ML pipelines
Soft skills
strong communicatorcollaborationcustomer engagement
Certifications
Computer Science degreeEngineering degree