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# Senior Customer AI Engineer - Token Factory

Canonical URL: https://nextmove.md/fde/jobs/a30f941f89ff45f5

Nebius posts a senior FDE role to integrate and configure the product in US, at $209,800–$262,200 base, above the senior FDE median of $190,000 across 1,849 postings with pay. Lead customer workload transitions from PoC to production Read from the employer’s posting on November 6, 2026.

- [Nebius](https://nextmove.md/fde/companies/nebius)

Posted Oct 12, 2026 by Nebius · open on Greenhouse as of Nov 6, 2026

**$209,800–$262,200** US Remote Full-time

Lead customer workload transitions from PoC to production

- [See roles that fit me](https://nextmove.md/sign-up?from=%2Ffde%2Fjobs%2Fa30f941f89ff45f5&placement=top)
- [View posting at Nebius](https://careers.nebius.com/?gh_jid=5000064101)

Free. Upload your resume once, see why each FDE role fits, and get introduced only when you say so.

## At a glance

### Posted base pay

$210K–$262K Above the median

Midpoint $236K · median $190K

This job $210K to $262K. Senior FDE postings, 1,849 postings: the middle 50% of posted pay is $160K to $220K, median $190K.

### The work

Integrates and configures it

Balance **Mostly building**

Project stages

1. Pre-sales
2. Proof of concept
3. Implementation
4. Operations

- **Builds for**: External customers

- **Level**: Senior

- **Role**: Individual contributor

### Do you meet what the posting states?

The posting reads as a senior role. What level are you at now?

The work is remote from the US. Can you work from the US?

Which of these have you used in production?

Answer each one. Nothing is saved or sent.

[What postings ask for, by background →](https://nextmove.md/fde/paths)

## Conditions

- **Location**: US

- **Work arrangement**: Remote

- **Remote work restrictions**: Remote from the United States

- **Employment type**: Full-time

- **Pay**:

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## The job description from Nebius

Posted by Nebius on Oct 12, 2026

### 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.

Base Compensation Range

$209,800—$262,200 USD

### Benefits & Perks

- 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

### What's it like to work at Nebius

Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI

### Equal Opportunity Statement

Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.

Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.

If you need accommodations during the application process, please let us know.

[View posting at Nebius](https://careers.nebius.com/?gh_jid=5000064101)

## About Nebius

Full-stack AI cloud infrastructure platform delivering GPU compute and software to hyperscalers and enterprises without requiring in-house AI/ML teams.

Public · 1000–2000 people

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- [Compare senior FDE salary ranges](https://nextmove.md/fde/salary/senior)
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