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Technical Account Manager - Token Factory

Nebius · company site22w
Posted 5 months ago — may be filled

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Company site · found 27 Sep 2026
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Experience not statedNo degreeLLMs and generative AIDistributed systemsTensorRTinference frameworkscloud systemsinfrastructure systemsAI/ML workloads

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Shown as posted, in English

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 Technical Account Manager (TAM) 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 Europe. 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: o performance (latency, throughput) o cost efficiency o 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.)  • 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 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.

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JobNebius · company sitePosted 22w ago

Technical Account Manager - Token Factory

Posted 5 months ago — may be filled

1 · Can you apply from ?

Not open

The ad doesn’t say — see the full posting.

4 · Your working hours

Not stated

The ad doesn’t say which hours. Ask the company.

5 · Trust

Company siteFound 27 Sep 2026
No one should ask you to pay to work.
Something wrong?Report this post

They ask for

Experience not statedNo degreeLLMs and generative AIDistributed systemsTensorRTinference frameworkscloud systemsinfrastructure systemsAI/ML workloads

Full description

Shown as posted, in English

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 Technical Account Manager (TAM) 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 Europe. 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: o performance (latency, throughput) o cost efficiency o 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.)  • 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 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.