# Senior Customer AI Engineer - Token Factory at Nebius

> Remote · United States · Senior · ML / AI · open. Source: https://alderhq.app/jobs/greenhouse%3Anebius%3A5000064101 (read 2026-11-07).

## Facts (observed)

- Company: [Nebius](https://alderhq.app/companies/nebius)
- Location text: Remote - United States; Remote - United States
- Where it can be done from (inferred): Remote · United States (evidence: "Remote role open worldwide")
- Posted: 2026-10-12 (26 days ago)
- First seen by alder: 2026-11-02 · last verified: 2026-11-04
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://careers.nebius.com/?gh_jid=5000064101
- Skills listed (inferred): React, LLMs, Distributed systems

## Pay and sponsorship

- Posted pay: $210k–$262k per year (from the listing's pay field)
- Market band for similar posted roles (United States, n 326): p25 $187k, median $212k, p75 $243k
- Recognised sponsor (NL): registered as "Nebius B.V." (checked 2026-11-03, [register](https://ind.nl/en/public-register-recognised-sponsors/public-register-regular-labour-and-highly-skilled-migrants))

## Description (the employer's text)

### About Nebius

Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.

Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.

Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.

### The role

We're looking for a Senior Customer AI Engineer who will join our Token Factory team to help our customers successfully transition from proof-of-concept to production and scale their AI workloads on Nebius infrastructure.

This role sits at the intersection of engineering, delivery, and customer success – ensuring that what was promised during pre-sales actually works reliably in production. You will work closely with customer engineering teams, Solution Architects, and Product/Infrastructure teams to drive stable, performant, and cost-efficient deployments.

This role is NOT:

- A sales role (though you will support expansion through value)
- A pure support role (you won’t just react to tickets)
- A solution architect role (you won’t design systems from scratch)
You’re welcome to work remotely from the United States.

Your responsibilities will include:

Own the production journey

- Lead the transition from PoC to production
- Ensure customer workloads are deployed, stable, and scalable
- Drive time-to-production and time-to-value
Ensure technical success in production

- Understand customer architectures and use cases
- Monitor and improve:
- performance (latency, throughput)

- cost efficiency

- reliability

- Identify and resolve bottlenecks proactively
Act as a trusted technical partner

- Work directly with customer engineering teams
- Provide guidance on best practices and optimisation
- Translate technical challenges into actionable solutions
Manage risks and incidents

- Act as a primary technical contact for production issues
- Coordinate with internal teams to resolve incidents
- Communicate clearly during high-pressure situations
Drive continuous improvement

- Identify opportunities to optimise and expand usage
- Provide structured feedback to Product and Infrastructure teams
- Help shape better solutions based on real customer needs
We expect you to have:

### Technical background

- Practical knowledge of inference frameworks (e.g. vLLM, TensorRT, or similar)
- Solid understanding of:
- cloud or infrastructure systems

- distributed systems or high-load applications

- AI/ML workloads (LLMs, inference, etc.) is a strong plus

- Ability to troubleshoot and reason about system performance
Customer-facing experience

- Experience working directly with technical customers (e.g. engineers, ML teams)
- Ability to communicate complex topics clearly and effectively
Ownership & execution

- Strong sense of ownership – you drive outcomes, not just tasks
- Ability to manage multiple customers and priorities
- Structured, proactive, and solution-oriented mindset
It will be an added bonus if you have:

- Experience with GPU workloads or AI infrastructure
- Background in solutions engineering, SRE, or technical support in B2B environments
Key employee benefits in the US:

- 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.
#LI-DN1

### Pay Transparency

We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law.

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/greenhouse%3Anebius%3A5000064101 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.