Nebius
Why work at Nebius
Nebius is leading a new era in cloud computing to serve the global AI economy. We create the tools and resources our customers need to solve real-world challenges and transform industries, without massive infrastructure costs or the need to build large in-house AI/ML teams. Our employees work at the cutting edge of AI cloud infrastructure alongside some of the most experienced and innovative leaders and engineers in the field.
Where we work
Headquartered in Amsterdam and listed on Nasdaq, Nebius has a global footprint with R&D hubs across Europe, North America, and Israel. The team of over 1400 employees includes more than 400 highly skilled engineers with deep expertise across hardware and software engineering, as well as an in-house AI R&D team.
The role
Nebius builds the infrastructure serious AI teams run on — GPU clusters, inference runtimes, agent development environments, data pipelines — all of it purpose-built for the most demanding AI workloads. What we are now building is the ecosystem function that ensures the best AI companies choose to build on us, integrate with us, and stay.
The Director of Product, Ecosystem owns the external view of one or more Nebius platform layers. You will map who matters, engage the targets that count, prototype what a partnership actually looks like on our stack, and translate everything you learn into new platform capabilities and product decisions.
You’re welcome to work remotely in the United States.
Your responsibilities will include:
Strategy
- Own the ecosystem map for your platform layer — who matters, what they build, where the gaps are relative to our platform strategy
- Define which companies to engage and why — a prioritized target list with a thesis behind every name
- Translate external landscape signals into concrete build vs. buy vs. partner recommendations for product and exec leadership
Sourcing
- Lead outbound engagement with founders, operators, and investors across your ecosystem domain
- Build peer-level relationships in the AI startup founders — the kind where people call you before they announce anything
- Identity partnership, integration, and M&A targets before they are obvious to the market
Solutioning
- Prototype integrations between partner products and the Nebius stack — fast, hands-on, and technically sound
- Scope partner architectures against our platform — how does this product actually work on our stack, where does it snap together, where does it break
- Define the technical narrative and reference architecture for each partnership
- Produce working proof-of-concepts that serve as the starting point for product creation — not a requirements doc, a working thing
Internal
- Work with ISV partners, SI teams, and field teams to scale solution adoption and drive revenue once a solution is ready
- This entire motion — inception, experimentation, prototyping — serves as a pipeline for new platform capabilities and product development
- Bring outside-in frontier signal into the company and help leadership make the right choices on where to invest
- Participate in platform planning as the external voice of the ecosystem
Platform focus areas
Depending on your background and mutual fit, you will own one or more of the following:
- Agentic — agent frameworks, memory systems, tool integration, orchestration, guardrails
- Managed Inference — inference runtimes, model routing, optimization tooling, serving infrastructure
- IaaS / Managed Infrastructure — cloud-native integrations, GPU orchestration, sovereign cloud, enterprise infrastructure
- Data — vector databases, retrieval systems, data pipelines, labeling infrastructure, synthetic data
We expect you to have:
- 8+ years operating across product strategy, business development, and ecosystem or partnership development in AI or infrastructure
- Deep technical fluency in at least one of our platform layer domains — you understand the architecture, the players, and the dynamics from having been close to the work, not just reading about it
- Genuine relationships in the AI founders and VCs — people take your call because of who you are, not what company you are calling from
- Experience as a founder, early operator, or investor in AI or infrastructure — you understand how startups make decisions and what they actually need from a platform partner
- Comfort going hands-on — you can prototype an integration, scope a partner's architecture, and produce a working proof-of-concept without waiting for an engineer to do it for you
- Strong written and verbal communication — you can present a partnership thesis to a VP of Product and a Series A founder in the same week and be credible in both rooms
- Comfortable building without a playbook — you create the process, you do not wait for it
It will be an added bonus if you have:
- Founded or been an early operator at a company building in one of our platform layer domains
- Operated as an EIR or investing partner at a top-tier AI-focused VC fund
- Built an ecosystem or platform partnership function from scratch at a high-growth AI or infrastructure company
- Structured and closed technology partnerships through to LOI or acquisition
- Familiarity with NVIDIA's software stack, inference tooling, or agent development frameworks
Key Employee 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.
Compensation
We offer competitive salaries, ranging from $265k - $315k OTE (On Target Earnings) + Equity based on your experience.
Compensation
We offer competitive compensation packages based on experience.
What we offer:
- Competitive salary and comprehensive benefits package.
- Opportunities for professional growth within Nebius.
- Flexible working arrangements.
- A dynamic and collaborative work environment that values initiative and innovation.
We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us!
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.
Ready to apply?
Apply to Nebius
Technical Director, Media & Entertainment AI Infrastructure
Why work at Nebius
Nebius is leading a new era in cloud computing to serve the global AI economy. We create the tools and resources our customers need to solve real-world challenges and transform industries, without massive infrastructure costs or the need to build large in-house AI/ML teams. Our employees work at the cutting edge of AI cloud infrastructure alongside some of the most experienced and innovative leaders and engineers in the field.
Where we work
Headquartered in Amsterdam and listed on Nasdaq, Nebius has a global footprint with R&D hubs across Europe, North America, and Israel. The team of over 1400 employees includes more than 400 highly skilled engineers with deep expertise across hardware and software engineering, as well as an in-house AI R&D team.
The role
The Technical Director of Media and Entertainment, AI Infrastructure is a senior individual contributor who operates at the intersection of deep AI infrastructure engineering and the business of media and entertainment. You will report to the GM of Media & Entertainment and help define the technical foundation that makes Nebius the default infrastructure partner for the world's most demanding M&E workloads.
You will work alongside CTOs and engineering leaders at studio groups, VFX houses, gaming studios, agency holding companies, and generative AI model companies. Your role is not to pitch them; it is to build with them. You will translate their most complex infrastructure problems into engineered solutions, own the technical relationship with our most strategic ISV and cloud-native partners, and use what you learn in the field to directly influence the M&E product roadmap alongside Nebius's global Head of Product and Head of Engineering.
This is a ground-floor opportunity to define what AI-native infrastructure looks like for an industry in the middle of a fundamental transformation.
You are welcome to work remotely from the United States (SF Bay Area or NYC preferred) Travel expectations 10%-20% for executive meetings and key industry events.
Your responsibilities will include:
AI Infrastructure Architecture
- Own the Technical Blueprint: Personally architect the infrastructure solutions for our most strategic M&E partnerships , studio-scale content production pipelines, agency data consolidation plays, generative AI model deployments. These architectures must be engineered to survive real-world scale, not just pass a POC.
- The Physics to P&L Narrative: Fluently demonstrate to executive stakeholders how infrastructure decisions , data lake locality, storage tiering, inference optimization, directly impact their business model and operability.
Forensic Requirement Gathering
- Deconstruct the Bottleneck: Go beyond the stated problem to find the technical truth. Translate vague business goals (e.g., “We need lower rendering costs”) into precise engineering requirements (e.g., “We need to optimize the inference batch size on L40s to reduce cost-per-token by 30%”).
- Map the Transition: Identify exactly where a customer sits on the curve from legacy service bureau to AI-native tech platform and prescribe the specific infrastructure intervention needed to move them forward.
ISV & Partner Technical Strategy
- Build and Validate the Integration Layer: Identify, engage, and technically validate relationships with the most critical ISVs in the media and entertainment landscape, from rendering and VFX toolchains to generative AI platforms.
- Define the Standard: It is not enough to support these tools. You will define the reference architectures for how they run best on Nebius infrastructure, and work directly with ISV engineering teams to build and publish those standards.
- Decide What’s Worth Doing: In partnership with the GM, evaluate ISV and partner opportunities on their technical merit and strategic leverage , and be equally rigorous about what not to pursue.
Internal Technical Influence
- Shape the M&E Roadmap: Use forensic evidence from the field to prioritize and justify the M&E vertical roadmap. You will work directly with Nebius’s global Head of Product and Head of Engineering to translate partner and customer needs into product direction.
- Lead the M&E Product Summit: Chair a quarterly summit with Core Engineering leadership, using field evidence to drive roadmap decisions and maintain vertical momentum.
We expect you to have:
- 12+ years of experience in cloud infrastructure, platform engineering, distributed systems, or a closely related technical domain.
- Executive Presence: Capable of commanding a room of engineers and presenting a layered technical roadmap to a C-Suite. You have operated at the top-to-top level , your counterparts are CTOs and VPs of Engineering.
- Builder Mentality: This is an IC role. You build things. You are not here to manage a team or delegate to an implementation function , you are here to architect and ship solutions alongside partners, and to build the assets (reference architectures, integration playbooks, technical frameworks) that make Nebius’s M&E infrastructure strategy defensible and scalable. You may have come from a startup, run your own company, or operated within a large org in a way that felt like building from zero.
- Product-Minded: Experience defining a platform strategy, not just executing tickets. You are comfortable telling a customer “No” when a request creates technical debt, and proposing a better alternative.
- Ambiguity Tolerance: You thrive in environments where requirements are evolving. You do not wait for a roadmap; you build it.
- Forensic Mindset: You are not satisfied with surface-level answers. You dig into the kernel, the logs, and the P&L to find the truth.
AI Infrastructure Expertise
- Mastery of the Stack: Expert-level, production-grade knowledge of GPU architectures (H100, L40s), Kubernetes orchestration including Soperator, high-performance and parallel file systems (e.g., Lustre, WEKA), data lake architecture, and networking constraints (InfiniBand/Ethernet).
- Inference Optimization: You understand the nuances of model serving , batch sizes, quantization, KV caching, latency tradeoffs , and can architect solutions for both massive throughput and real-time (sub-50ms) demands.
Domain Context: Media & Entertainment
Industry Fluency: You have operated within the M&E ecosystem and can speak to the infrastructure implications across the following sub-sectors:
- Gaming
- Multimodal Generative Models
- AdTech
- VFX / Content Production
Non-negotiable: Candidates without deep, production-grade working knowledge of GPU infrastructure and inference-based solutioning will not be considered. This is a hard requirement, not a preference.
AI Infrastructure Expertise
- Mastery of the Stack: You must be an expert in the physics of AI infrastructure. This includes deep, production-grade knowledge of GPU architectures (H100 vs. L40s), Kubernetes orchestration (K8s), high-performance storage parallel file systems (e.g., Lustre, WEKA), and networking constraints (InfiniBand/Ethernet).
- Inference Optimization: You understand the nuances of model serving—batch sizes, quantization, KV caching, and latency tradeoffs—and can architect solutions for both massive throughput and real-time (sub-50ms) demands.
It will be an added bonus if you have:
- Hands-on experience with VFX pipelines, studio-scale content production workflows, or the cloud tooling that powers them , render farm management, distributed simulation, asset pipeline tooling. You understand how content gets made, moved, and transformed at scale, and what infrastructure makes that possible.
- Strategic Empathy: The ability to distinguish between customers who need raw bare-metal access and those who need managed endpoints, and the wisdom to prescribe the right path.
Key Employee 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.
Compensation
We offer competitive salaries, ranging from $295k - $365k OTE (On Target Earnings) + Equity based on your experience.
Compensation
We offer competitive compensation packages based on experience.
What we offer:
- Competitive salary and comprehensive benefits package.
- Opportunities for professional growth within Nebius.
- Flexible working arrangements.
- A dynamic and collaborative work environment that values initiative and innovation.
We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us!
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.
Ready to apply?
Apply to Nebius
Why work at Nebius
Nebius is leading a new era in cloud computing to serve the global AI economy. We create the tools and resources our customers need to solve real-world challenges and transform industries, without massive infrastructure costs or the need to build large in-house AI/ML teams. Our employees work at the cutting edge of AI cloud infrastructure alongside some of the most experienced and innovative leaders and engineers in the field.
Where we work
Headquartered in Amsterdam and listed on Nasdaq, Nebius has a global footprint with R&D hubs across Europe, North America, and Israel. The team of over 1400 employees includes more than 400 highly skilled engineers with deep expertise across hardware and software engineering, as well as an in-house AI R&D team.
The role
We are building a high-performance AI inference platform for developer-native teams running latency- and cost-sensitive workloads at scale.
In AI infrastructure, PoC success does not guarantee production success. This role ensures that what we commit to is scalable, efficient, and aligned with platform strategy.
We are looking for a Presales Architect to become a foundational technical partner to our customers and a force multiplier for Sales and Engineering. You will shape complex AI workloads from first discovery through production feasibility validation, ensuring technical rigor, economic viability, and scalable architecture decisions.
You will operate at the intersection of customer ambition, engineering reality, and commercial growth, influencing:
- Revenue quality
- Engineering focus
- Product evolution
- Customer trust at scale
You’re welcome to work remotely from Europe.
Your responsibilities will include:
Strategic Technical Discovery
- Lead deep technical discovery with engineering teams and technical founders
- Understand model requirements, traffic expectations, latency constraints, GPU economics, and system dependencies
- Translate customer ambition into production-feasible architectures
- Identify hidden technical risks early
Commercial Acceleration
- Partner tightly with Sales on strategic deals
- Influence deal strategy through architectural clarity
- Prevent misaligned commitments before engineering allocation
- Increase PoC-to-production conversion by ensuring technical realism
PoC Architecture & Validation
- Define measurable success criteria (latency, TTFT, throughput, cost envelope)
- Classify workload complexity and required optimization depth
- Align appropriate resources (ML Solution Architects, engineering, GPU capacity, etc.)
- Drive structured Go / No-Go decisions
- Prevent uncontrolled customization or hidden R&D
Pattern Recognition & Platform Leverage
- Identify recurring configuration patterns across customers
- Quantify demand for advanced optimizations (quantization, speculative decoding, etc.)
- Surface structured insights to Product and Engineering
- Help evolve platform capabilities based on real workload data
We expect you to have:
- Deep understanding of AI inference systems and GPU-backed infrastructure
- Experience with LLM workloads and performance-sensitive environments
- Experience with inference frameworks and libraries (e.g., vLLM, SGLang, TensorRT-LLM).
- Ability to reason about latency, throughput, cost, and architecture tradeoffs
- Strong customer presence with engineering-first organizations
- Comfort challenging assumptions and pushing back constructively
- Commercial awareness – you understand that engineering time is a strategic resource
Preferred technical stack:
- Programming Languages– Python
- Frameworks and Libraries– vLLM, SGLang, TensorRT-LLM, OpenAI/Anthropic SDKs
- Frameworks for Agentic Pipelines : Langchain / Langsmith / smolagents / equivalent
- API and Web Frameworks– FastAPI, Flask
- MLOps and DevOps tools– Kubernetes (K8s), Docker, Git
- Cloud Platforms– AWS (SageMaker, Bedrock), GCP (Vertex AI), Azure (Azure ML)
What success looks like:
- Strategic deals are technically sound before engineering engagement
- PoCs are clearly scoped and economically justified
- Engineering capacity is allocated predictably
- Conversion to production improves
- Customers view you as a trusted architectural advisor
What we offer:
- Competitive salary and comprehensive benefits package.
- Opportunities for professional growth within Nebius.
- Flexible working arrangements.
- A dynamic and collaborative work environment that values initiative and innovation.
We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us!
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.
Ready to apply?
Apply to Nebius
Senior Technical Product Manager, Token Factory
Why work at Nebius
Nebius is leading a new era in cloud computing to serve the global AI economy. We create the tools and resources our customers need to solve real-world challenges and transform industries, without massive infrastructure costs or the need to build large in-house AI/ML teams. Our employees work at the cutting edge of AI cloud infrastructure alongside some of the most experienced and innovative leaders and engineers in the field.
Where we work
Headquartered in Amsterdam and listed on Nasdaq, Nebius has a global footprint with R&D hubs across Europe, North America, and Israel. The team of over 1400 employees includes more than 400 highly skilled engineers with deep expertise across hardware and software engineering, as well as an in-house AI R&D team.
The role
We’re building Nebius Token Factory — an AI inference platform that powers high-performance, cost-efficient workloads at scale. As a Senior Technical Product Manager, you’ll own one of our core product streams and drive it end to end: from roadmap and design to launch and adoption of features our customers rely on.
You are welcome to work remote from the UK, or hybrid from our Amsterdam location.
Your responsibilities will include:
- Own the product roadmap, delivery and developer experience for one of our flagship product direction - Dedicated Endpoints for AI Models Inference
- Partner with engineering and research to design tools that let customers run large-scale, high-load inference workloads efficiently.
- Support sales & customers by preparing materials, leading PoCs/betas, and ensuring smooth onboarding of complex workloads.
- Drive product–market fit through continuous user research, customer interviews, and market & competitive analysis
- Manage technical partnerships and ensure integrations deliver measurable value despite limited resources.
We expect you to have:
- 3–5 years of product management experience, shipping technical products with 10–15+ cross-functional stakeholders(engineering, research, design, support, marketing, legal, leadership).
- Hands-on mindset — a power user of your own product, comfortable diving into:
AIOps lifecycle: inference, experimentation, evaluation, fine-tuning, deployment
Cloud-native and DevOps tooling
Distributed systems and production infrastructure - Excellent execution and project management skills — roadmaps, milestones, ownership, Agile processes, sprints, and change management (without creating chaos).
- Outstanding communication — able to write crisp PRDs, RFCs, runbooks, and release notes; articulate constraints and trade-offs clearly to technical and non-technical teams.
- Technical fluency — able to speak the same language as engineering, define precise requirements, understand constraints, and make sensible trade-offs grounded in reality.
- B2B SaaS experience, ideally working with enterprise customers and technical buyer personas.
- Customer-obsessed — proactive in uncovering needs, understanding customer AI strategy, and ensuring our product becomes essential in their stack.
- Bias toward action — runs problems end-to-end without waiting for instruction, even with incomplete data.
What we offer:
- Competitive salary and comprehensive benefits package.
- Opportunities for professional growth within Nebius.
- Flexible working arrangements.
- A dynamic and collaborative work environment that values initiative and innovation.
We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us!
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.
Ready to apply?
Apply to Nebius
Field CTO - Physical AI & Robotics
Why work at Nebius
Nebius is leading a new era in cloud computing to serve the global AI economy. We create the tools and resources our customers need to solve real-world challenges and transform industries, without massive infrastructure costs or the need to build large in-house AI/ML teams. Our employees work at the cutting edge of AI cloud infrastructure alongside some of the most experienced and innovative leaders and engineers in the field.
Where we work
Headquartered in Amsterdam and listed on Nasdaq, Nebius has a global footprint with R&D hubs across Europe, North America, and Israel. The team of over 1400 employees includes more than 400 highly skilled engineers with deep expertise across hardware and software engineering, as well as an in-house AI R&D team.
The role
Nebius is building the cloud infrastructure that will power the next generation of Physical AI—robotics, autonomous systems, simulation/world models, and embodied intelligence operating in the real world.
The Field CTO for Physical AI & Robotics is a senior technical leadership role responsible for converting raw market demand into a scalable, domain-specific platform. You will own the technical product strategy, ensuring Nebius evolves its capabilities to support the unique demands of Physical AI workloads. Operating at the intersection of deep customer engagement and platform engineering, you will serve as a principal technical partner in strategic opportunities—engaging directly with customer CTOs to map Nebius’ existing capabilities to their immediate needs to help close complex deals. You will not only identify customer challenges but also architect the solution patterns that solve them for the entire market.
This is a definitive "Zero to One" opportunity to define a new category of cloud infrastructure from the ground up.
You’re welcome to work remotely from the Unites States (SF Bay Area, CA & Austin, TX Preferred)
Your responsibilities will include:
- Executive Technical Leadership: Serve as the external "CTO" face of Nebius to Physical AI customers, partners, and ecosystem stakeholders, building trust with executive peers.
- Lighthouse Deal Support: Partner with Sales leadership to close strategic "company-making" deals by leading architectural workshops and aligning technical roadmaps with customer goals.
- Technical Product Strategy: Translate bespoke customer needs into clear, scalable technical and product requirements for Nebius product, engineering, and infrastructure teams.
- Field Enablement: Act as a force multiplier for the sales organization by creating the technical narrative, reference architectures, and training materials needed to upskill Field SAs and Sellers.
- Cross-Functional Alignment: Drive alignment across Product, Engineering, Infrastructure, and GTM teams, ensuring the internal roadmap reflects the reality of the market.
- Architectural Guidance: Provide architectural guidance to help customers maximize value from Nebius services, while identifying the necessary "primitives" required to support end-to-end robotics workflows.
- Pattern Recognition: Identify recurring customer pain points across robotics, simulation, and data pipelines to surface gaps in existing offerings and influence roadmap decisions.
- Ecosystem & M&A: Partner with ecosystem vendors (simulation platforms, robotics frameworks) to identify integration opportunities and evaluate potential technical M&A targets.
- Feedback Loops: Maintain structured internal feedback loops to ensure customer learnings are tracked, communicated, and acted upon by R&D.
We expect you to have:
- 10+ years of experience in cloud infrastructure, platform engineering, or distributed systems.
- 5+ years of experience in AI, HPC, and/or robotics, with exposure to production or large-scale systems.
- Prior experience in a senior technical leadership role (e.g., Field CTO, Head of Engineering, Principal Architect, or Distinguished Engineer).
- Dual-Competency: You are equally comfortable drawing a distributed system architecture on a whiteboard for engineers and explaining the business value of that architecture to a CEO.
- GTM Fluency: Experience partnering with Sales teams to close large-scale enterprise deals and enabling field teams with technical assets.
- Product-Minded Leadership: Experience defining a product or platform strategy based on market feedback, not just executing technical tickets.
- Technical Depth: Strong hands-on understanding of GPU-centric infrastructure, high-performance compute, storage systems, and networking.
- Robotics Fluency: Experience with Physical AI and robotics workflows, including simulation, synthetic data, training pipelines, and real-world deployment constraints.
- Communication: Strong executive presence, capable of influencing product teams and leadership through clarity and credibility.
- Comfort in Ambiguity: Experience operating in fast-moving environments (hyperscalers, cloud platforms, or advanced AI startups) where requirements are evolving.
Why Nebius:
- Build Solutions: You aren't just selling infrastructure; you are shaping the cloud architecture that will power the next generation of Physical AI
- Frontier Technology: Work at the frontier of AI, simulation, and real-world intelligence alongside leading customers and partners
- Strategic Impact: Operate with real influence over product direction, platform strategy, and ecosystem development
- Ownership: Join a team that values technical depth, ownership, and speed of execution
- Mission: Help define how intelligence moves from the data center into the physical world
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.
Compensation
We offer competitive salaries, ranging from $295k - $365k OTE (On Target Earnings) + Equity based on your experience.
What we offer:
- Competitive salary and comprehensive benefits package.
- Opportunities for professional growth within Nebius.
- Flexible working arrangements.
- A dynamic and collaborative work environment that values initiative and innovation.
We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us!
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.
Ready to apply?
Apply to Nebius
Why work at Nebius
Nebius is leading a new era in cloud computing to serve the global AI economy. We create the tools and resources our customers need to solve real-world challenges and transform industries, without massive infrastructure costs or the need to build large in-house AI/ML teams. Our employees work at the cutting edge of AI cloud infrastructure alongside some of the most experienced and innovative leaders and engineers in the field.
Where we work
Headquartered in Amsterdam and listed on Nasdaq, Nebius has a global footprint with R&D hubs across Europe, North America, and Israel. The team of over 1400 employees includes more than 400 highly skilled engineers with deep expertise across hardware and software engineering, as well as an in-house AI R&D team.
The role
We seek an experienced Senior ML Solutions Architect to support customers leveraging Nebius Token Factory's serverless inference platform for open-source LLMs across multiple modalities. In this role, you will be collaborating with clients to design and implement customized LLM-based solution and architect scalable AI applications using our served models, and working together with our backend team to improve our platform to match the clients' needs.
Your responsibilities will include:
- Design and implement LLM-based solutions using Nebius Token Factory’s inference services to drive business value and support customer goals.
- Build production-ready applications leveraging our serverless LLM APIs, including multimodal models (text, vision, audio) and domain-specific models.
- Provide technical expertise in prompt engineering, RAG architectures, model selection, and inference optimization.
- Collaborate with product and engineering teams to surface customer feedback and shape the platform roadmap.
- Guide customers in scaling from POC to production with a focus on performance, reliability, and cost efficiency.
We expect you to have:
- 5+ years of experience in ML/AI systems, with at least 2 years focused on LLMs and generative AI.
- Deep knowledge of the LLM ecosystem, including model architectures and fine-tuning approaches.
- Hands-on experience with:
- Prompt engineering and LLM pipeline development, including evaluation.
- Agentic frameworks such as Langchain, Langsmith, smolagents, or equivalent.
- Vector databases and RAG implementation patterns.
- Deploying LLM-powered applications using APIs from OpenAI, Anthropic, or open-source models.
- Strong Python programming skills.
- Excellent communication skills, with the ability to clearly explain technical concepts to diverse audiences.
It will be an added bonus if you have:
- Experience with inference frameworks and libraries (e.g., vLLM, SGLang, TensorRT-LLM, Transformers).
- Familiarity with inference optimization techniques such as quantization, batching, caching, and routing.
- Work with multimodal AI models (e.g., vision-language, speech).
- Proficiency with DevOps tools (Docker, Kubernetes).
- Contributions to open-source ML/AI projects.
Preferred tooling:
- Programming Languages– Python
- ML Frameworks and Libraries– vLLM, SGLang, TensorRT-LLM, Transformers, OpenAI/Anthropic SDKs
- Frameworks for Agentic Pipelines : Langchain / Langsmith / smolagents / equivalent
- API and Web Frameworks– FastAPI, Flask
- MLOps and DevOps tools– Kubernetes (K8s), Docker, Git
- Cloud Platforms– AWS (SageMaker, Bedrock), GCP (Vertex AI), Azure (Azure ML)
Key Employee 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.
Compensation
We offer competitive salaries, ranging from $225k - $315k OTE (On-Target Earnings) and equity based on your experience, skills, and location.
Join Nebius Today!
What we offer:
- Competitive salary and comprehensive benefits package.
- Opportunities for professional growth within Nebius.
- Flexible working arrangements.
- A dynamic and collaborative work environment that values initiative and innovation.
We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us!
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.
Ready to apply?
Apply to Nebius
Why work at Nebius
Nebius is leading a new era in cloud computing to serve the global AI economy. We create the tools and resources our customers need to solve real-world challenges and transform industries, without massive infrastructure costs or the need to build large in-house AI/ML teams. Our employees work at the cutting edge of AI cloud infrastructure alongside some of the most experienced and innovative leaders and engineers in the field.
Where we work
Headquartered in Amsterdam and listed on Nasdaq, Nebius has a global footprint with R&D hubs across Europe, North America, and Israel. The team of over 1400 employees includes more than 400 highly skilled engineers with deep expertise across hardware and software engineering, as well as an in-house AI R&D team.
The role
We're looking for a Technical Account Manager (TAM) 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:
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
• Solid understanding of:
o cloud or infrastructure systems
o distributed systems or high-load applications
o 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
- Familiarity with inference frameworks (e.g. vLLM, TensorRT, etc.)
- Background in solutions engineering, SRE, or technical support in B2B environments
Key employee 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.
Compensation
We offer competitive salaries, ranging from $225k - 300k OTE (On Target Earnings) based on your experience.
What we offer:
- Competitive salary and comprehensive benefits package.
- Opportunities for professional growth within Nebius.
- Flexible working arrangements.
- A dynamic and collaborative work environment that values initiative and innovation.
We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us!
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.
Ready to apply?
Apply to Nebius
Why work at Nebius
Nebius is leading a new era in cloud computing to serve the global AI economy. We create the tools and resources our customers need to solve real-world challenges and transform industries, without massive infrastructure costs or the need to build large in-house AI/ML teams. Our employees work at the cutting edge of AI cloud infrastructure alongside some of the most experienced and innovative leaders and engineers in the field.
Where we work
Headquartered in Amsterdam and listed on Nasdaq, Nebius has a global footprint with R&D hubs across Europe, North America, and Israel. The team of over 1400 employees includes more than 400 highly skilled engineers with deep expertise across hardware and software engineering, as well as an in-house AI R&D team.
The role
We're looking for a Technical Account Manager (TAM) 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
• Solid understanding of:
o cloud or infrastructure systems
o distributed systems or high-load applications
o 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
- Familiarity with inference frameworks (e.g. vLLM, TensorRT, etc.)
- Background in solutions engineering, SRE, or technical support in B2B environments
What we offer:
- Competitive salary and comprehensive benefits package.
- Opportunities for professional growth within Nebius.
- Flexible working arrangements.
- A dynamic and collaborative work environment that values initiative and innovation.
We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us!
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.
Ready to apply?
Apply to Nebius
Why work at Nebius
Nebius is leading a new era in cloud computing to serve the global AI economy. We create the tools and resources our customers need to solve real-world challenges and transform industries, without massive infrastructure costs or the need to build large in-house AI/ML teams. Our employees work at the cutting edge of AI cloud infrastructure alongside some of the most experienced and innovative leaders and engineers in the field.
Where we work
Headquartered in Amsterdam and listed on Nasdaq, Nebius has a global footprint with R&D hubs across Europe, North America, and Israel. The team of over 1400 employees includes more than 400 highly skilled engineers with deep expertise across hardware and software engineering, as well as an in-house AI R&D team.
The role
Nebius is building the cloud infrastructure that will power the next generation of Physical AI—robotics, autonomous systems, simulation/world models, and embodied intelligence operating in the real world.
The Principal, Business Development – Physical AI is a strategic market-creation role responsible for developing and driving the Go-To-Market (GTM) strategy for the entire Physical AI ecosystem. You will act as the founding commercial lead, bridging the gap between our infrastructure and the three pillars of the industry: Model Builders (Foundation Models), Robot Builders (Humanoids/Autonomous Systems), and ISVs (Simulation/Data Tools).
You will own the ecosystem strategy, ensuring Nebius becomes the default infrastructure for embodied intelligence. Operating at the intersection of supply (Nebius technology) and demand (The Physical AI Ecosystem), you will architect the strategy for winning developer mindshare, validate it through "Lighthouse" wins, and scale it by enabling the broader field.
This is a definitive "Zero to One" opportunity to define the commercial strategy for a new category of cloud infrastructure from the ground up.
You’re welcome to work remotely from the United States (SF Bay Area, CA & Austin, TX Preferred)
Your responsibilities will include:
- Ecosystem GTM Strategy: Create and own the comprehensive Go-To-Market strategy for the Physical AI vertical. Define the segmentation, targeting, and positioning for Model Builders, Robot Builders, and ISVs, ensuring we have a cohesive narrative for the entire value chain.
- Lighthouse Deal Execution: Identify and secure relationships with the top 10 most innovative companies in the ecosystem (e.g., Foundation Model builders, Humanoid startups), converting them into "Design Partners" whose successvalidates our platform.
- Drive Ecosystem Revenue: Own the long-term revenue trajectory of the Physical AI domain, ensuring that early "Lighthouse" technical wins translate into massive, high-volume compute consumption as our customers scale their training and simulation workloads.
- Field Enablement: Act as a force multiplier for the sales organization by codifying your market learnings into a scalable "Physical AI Playbook." Create battle cards, training modules, and positioning guides to enable the core Sales, Marketing, and Partnership teams to identify and close opportunities independently.
- ISV & Partner Alignment: Map the critical software stack (Simulation platforms, Data Labeling, Middleware) and structure partnerships that create a frictionless developer experience. Ensure our GTM strategy aligns with these partners to drive co-sell motions.
- Product Signal: Serve as the primary sensor for Product & Engineering, synthesizing complex customer requirements regarding simulation, synthetic data, and reinforcement learning into clear product signals.
- Orchestrate Joint Value: Structure "first-of-their-kind" partnerships and design partner agreements that serve as templates for the rest of the organization, moving beyond standard cloud consumption contracts.
- Ecosystem Evangelism: Evangelize our vision at industry events (e.g., CVPR, CoRL, ICRA) and executive briefings, positioning Nebius not just as a vendor, but as a fellow innovator in the stack.
- Feedback Loops: Maintain structured internal feedback loops to ensure customer learnings, friction points, and unmet needs are tracked, communicated, and acted upon by leadership.
We expect you to have:
- 7+ years of experience in business development, strategic partnerships, or product strategy within Cloud, AI, or Robotics.
- GTM Strategy Experience: Proven ability to define a strategy from scratch—segmenting a market, defining the pitch, and building the playbook for others to follow.
- Market Maker Capacity: Experience taking new, complex technologies and finding their first foothold with technical early adopters before a playbook existed.
- Deep Domain Fluency: You speak the language of the builders. You understand the difference between Sim2Real gaps, foundation model training, and inference latency. You know the key players (startups and ISVs) in the modern robotics stack.
- Enablement Mindset: You enjoy teaching and scaling knowledge. You can take complex technical wins and distill them into simple, repeatable sales motions for a broader team.
- Cross-Functional Orchestration: Proven track record of working across Sales, Marketing, Product Marketing, and Partnerships to align distinct teams behind a unified GTM strategy and execution plan.
- Startup DNA: Experience working with (or within) high-growth, venture-backed startups. You understand the urgency, the technical depth, and the pivot-ready nature of this customer base.
- Communication: Strong executive presence and communication skills, capable of holding your own with VC-backed founders and CTOs.
- Comfort in Ambiguity: Experience operating in fast-moving environments where the sales motion is not yet defined and requires real-time iteration.
Why Nebius:
- Market Creation: You aren't just selling a commodity; you are validating and creating the market for specialized Physical AI infrastructure.
- Strategic Impact: Operate with real influence over product direction, company-wide sales strategy, and ecosystem development.
- Frontier Technology: Work at the bleeding edge of embodied intelligence, engaging with the companies defining the future of the physical world.
- High Leverage: Focus on the top 10% of transformative customers and strategic partners that drive the next 90% of growth
- Mission: Help define how intelligence moves from the data center into the physical world.
Key Employee 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.
Compensation
We offer competitive salaries, ranging from $300k - $350k OTE (On Target Earnings) and equity based on your experience, skills, and location.
Join Nebius Today!
If you’re passionate about pushing the boundaries of AI infrastructure and want to be part of a team that’s shaping the future of AI, we’d love to hear from you. Apply now and become a driving force in our global mission.
What we offer:
- Competitive salary and comprehensive benefits package.
- Opportunities for professional growth within Nebius.
- Flexible working arrangements.
- A dynamic and collaborative work environment that values initiative and innovation.
We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us!
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.
Ready to apply?
Apply to Nebius
Why work at Nebius
Nebius is leading a new era in cloud computing to serve the global AI economy. We create the tools and resources our customers need to solve real-world challenges and transform industries, without massive infrastructure costs or the need to build large in-house AI/ML teams. Our employees work at the cutting edge of AI cloud infrastructure alongside some of the most experienced and innovative leaders and engineers in the field.
Where we work
Headquartered in Amsterdam and listed on Nasdaq, Nebius has a global footprint with R&D hubs across Europe, North America, and Israel. The team of over 1400 employees includes more than 400 highly skilled engineers with deep expertise across hardware and software engineering, as well as an in-house AI R&D team.
The role
We seek an experienced Senior ML Solutions Architect to support customers leveraging Nebius Token Factory's serverless inference platform for open-source LLMs across multiple modalities. In this role, you will be collaborating with clients to design and implement customized LLM-based solution and architect scalable AI applications using our served models, and working together with our backend team to improve our platform to match the clients' needs.
You’re welcome to work remotely from Europe.
Your responsibilities will include:
- Design and implement LLM-based solutions using Nebius Token Factory’s inference services to drive business value and support customer goals
- Build production-ready applications leveraging our serverless LLM APIs, including multimodal models (text, vision, audio) and domain-specific models
- Provide technical expertise in prompt engineering, RAG architectures, model selection, and inference optimization
- Collaborate with product and engineering teams to surface customer feedback and shape the platform roadmap
- Guide customers in scaling from POC to production with a focus on performance, reliability, and cost efficiency
We expect you to have:
- 5+ years of experience in ML/AI systems, with at least 2 years focused on LLMs and generative AI
- Deep knowledge of the LLM ecosystem, including model architectures and fine-tuning approaches
- Hands-on experience with:
- Prompt engineering and LLM pipeline development, including evaluation
- Agentic frameworks such as Langchain, Langsmith, smolagents, or equivalent
- Vector databases and RAG implementation patterns
- Deploying LLM-powered applications using APIs from OpenAI, Anthropic, or open-source models
- Strong Python programming skills
- Excellent communication skills, with the ability to clearly explain technical concepts to diverse audiences
It would be an added bonus if you have:
- Experience with inference frameworks and libraries (e.g., vLLM, SGLang, TensorRT-LLM, Transformers)
- Familiarity with inference optimization techniques such as quantization, batching, caching, and routing
- Work with multimodal AI models (e.g., vision-language, speech)
- Proficiency with DevOps tools (Docker, Kubernetes)
- Contributions to open-source ML/AI projects
Preferred technical stack:
- Programming Languages – Python
- ML Frameworks and Libraries – vLLM, SGLang, TensorRT-LLM, Transformers, OpenAI/Anthropic SDKs
- Frameworks for Agentic Pipelines – Langchain / Langsmith / smolagents / equivalent
- API and Web Frameworks – FastAPI, Flask
- MLOps and DevOps tools – Kubernetes (K8s), Docker, Git
- Cloud Platforms – AWS (SageMaker, Bedrock), GCP (Vertex AI), Azure (Azure ML)
What we offer:
- Competitive salary and comprehensive benefits package.
- Opportunities for professional growth within Nebius.
- Flexible working arrangements.
- A dynamic and collaborative work environment that values initiative and innovation.
We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us!
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.
Ready to apply?
Apply to Nebius
Why work at Nebius
Nebius is leading a new era in cloud computing to serve the global AI economy. We create the tools and resources our customers need to solve real-world challenges and transform industries, without massive infrastructure costs or the need to build large in-house AI/ML teams. Our employees work at the cutting edge of AI cloud infrastructure alongside some of the most experienced and innovative leaders and engineers in the field.
Where we work
Headquartered in Amsterdam and listed on Nasdaq, Nebius has a global footprint with R&D hubs across Europe, North America, and Israel. The team of over 1400 employees includes more than 400 highly skilled engineers with deep expertise across hardware and software engineering, as well as an in-house AI R&D team.
The role
We are building a high-performance AI inference platform for developer-native teams running latency- and cost-sensitive workloads at scale.
In AI infrastructure, PoC success does not always guarantee production success. This role exists to ensure that what we commit to with customers is scalable, efficient, and aligned with platform strategy.
We are looking for a Presales Architect to become a foundational technical partner to our customers and a force multiplier for Sales and Engineering. You will shape complex AI workloads from first discovery through production feasibility validation, ensuring technical rigor, economic viability, and scalable architecture decisions.
You will operate at the intersection of customer ambition, engineering reality, and commercial growth, influencing:
- Revenue quality
- Engineering focus
- Product evolution
- Customer trust at scale
You’re welcome to work remotely from the United States.
Your responsibilities will include:
Strategic Technical Discovery
- Lead deep technical discovery with engineering teams and technical founders
- Understand model requirements, traffic expectations, latency constraints, GPU economics, and system dependencies
- Translate customer ambition into production-feasible architecture.
- Identify hidden technical risks early
Commercial Acceleration
- Partner tightly with Sales on strategic deals
- Influence deal strategy through architectural clarity
- Prevent misaligned commitments before engineering allocation
- Increase PoC-to-production conversion by ensuring technical realism
PoC Architecture & Validation
- Define measurable success criteria (latency, TTFT, throughput, cost envelope)
- Classify workload complexity and required optimization depth
- Align appropriate resources (ML Solution Architects, engineering, GPU capacity, etc.)
- Drive structured Go / No-Go decisions
- Prevent uncontrolled customization or hidden R&D
Pattern Recognition & Platform Leverage
- Identify recurring configuration patterns across customers
- Quantify demand for advanced optimizations (quantization, speculative decoding, etc.)
- Surface structured insights to Product and Engineering
- Help evolve platform capabilities based on real workload data
We expect you to have:
- Deep understanding of AI inference systems and GPU-backed infrastructure
- Experience with LLM workloads and performance-sensitive environments
- Experience with inference frameworks and libraries (e.g., vLLM, SGLang, TensorRT-LLM).
- Ability to reason about latency, throughput, cost, and architecture tradeoffs
- Strong customer presence with engineering-first organizations
- Comfort challenging assumptions and pushing back constructively
- Commercial awareness – you understand that engineering time is a strategic resource
Preferred Technical Stack
- Programming Languages– Python
- Frameworks and Libraries– vLLM, SGLang, TensorRT-LLM, OpenAI/Anthropic SDKs
- Frameworks for Agentic Pipelines : Langchain / Langsmith / smolagents / equivalent
- API and Web Frameworks– FastAPI, Flask
- MLOps and DevOps tools– Kubernetes (K8s), Docker, Git
- Cloud Platforms– AWS (SageMaker, Bedrock), GCP (Vertex AI), Azure (Azure ML)
What Success Looks Like
- Strategic deals are technically sound before engineering engagement
- PoCs are clearly scoped and economically justified
- Engineering capacity is allocated predictably
- Conversion to production improves
- Customers view you as a trusted architectural advisor
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.
Compensation
We offer competitive salaries, ranging from $152k - 228k base + RSU's and performance bonus's.
What we offer:
- Competitive salary and comprehensive benefits package.
- Opportunities for professional growth within Nebius.
- Flexible working arrangements.
- A dynamic and collaborative work environment that values initiative and innovation.
We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us!
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.
Ready to apply?
Apply to Nebius
Senior Product Designer, Token Factory
Why work at Nebius
Nebius is leading a new era in cloud computing to serve the global AI economy. We create the tools and resources our customers need to solve real-world challenges and transform industries, without massive infrastructure costs or the need to build large in-house AI/ML teams. Our employees work at the cutting edge of AI cloud infrastructure alongside some of the most experienced and innovative leaders and engineers in the field.
Where we work
Headquartered in Amsterdam and listed on Nasdaq, Nebius has a global footprint with R&D hubs across Europe, North America, and Israel. The team of over 1400 employees includes more than 400 highly skilled engineers with deep expertise across hardware and software engineering, as well as an in-house AI R&D team.
The role
Nebius Token Factory is a next-generation platform for LLM inference and deployment. It gives companies and developers access to dozens of state-of-the-art open-source models (LLMs, Vision, Embeddings, Image Generation) with enterprise-grade guarantees, including private endpoints, zero-retention data flow, transparent pricing, and easy scaling without GPU ops overhead.
Token Factory is part of Nebius, a company building next-generation cloud infrastructure for the global AI economy, helping teams solve real-world problems and scale AI without massive infrastructure costs or large in-house ML teams.
We are looking for a strong Product Designer who will help turn complex AI infrastructure into a clear, controllable, and thoughtfully designed product for a professional audience. In this role, you’ll work on one of the most technically advanced AI products on the market, immerse yourself in modern LLM and AI infrastructure operating at production scale, and have real influence on UX and product decisions across core user scenarios.
You’re welcome to work in our offices in Amsterdam, Berlin, London or Prague with a hybrid work schedule.
Your responsibilities will include:
- Designing clear, scalable interfaces for core end-to-end AI workflows: model selection and comparison, deployment and inference, inference observability and analysis, fine-tuning, dataset management, batch inference, and agent configuration.
- Own the end-to-end design of services and features within the Nebius Token Factory, from discovery to delivery.
- Being ready to write high-quality interface copy — clear, precise text that helps users navigate complex scenarios and make informed decisions.
- Developing a deep understanding of how AI systems work under the hood, translating complex technical processes (fine-tuning, data pipelines, agent workflows) into clear and manageable user interfaces.
- Collaborating with product managers to formulate hypotheses, validate them with data and user feedback, and improve key product scenarios.
- Using modern AI tools as part of the design process across research, ideation, and prototyping stages (Figma Make, Cursor, lovable.dev, ChatGPT, Claude, etc.).
- Working closely with product, engineering, and ML teams — discussing, revisiting, and improving solutions based on feedback and shared understanding.
- Clearly present design solutions and rationale to cross-functional teams
- Contribute to the development and maintenance of the design system, ensuring consistency and quality across the product
We expect you to have:
- 5+ years of experience in product teams (SaaS / B2B / DevTools experience is a strong plus). Strong product thinking and the ability to turn complex processes into clear and transparent user journeys.
- Experience working on technically complex products where understanding system logic and processes matters as much as UI. Ability to balance usability, consistency, and innovation in complex systems.
- Willingness to dive into the AI domain: how datasets are prepared for fine-tuning, how fine-tuning works, how agents and their workflows are structured.
- Openness to collaboration: ability to listen, argue constructively, and incorporate team feedback.
- Interest in UX research and a clear understanding of its value for product decisions.
It will be an added bonus if you have:
- Experience with AI products, ML platforms, or developer tools.
- Understanding of API-first products.
- Experience designing enterprise-grade interfaces.
- Interest in product architecture and how systems work “under the hood.”
What we offer:
- Competitive salary and comprehensive benefits package.
- Opportunities for professional growth within Nebius.
- Flexible working arrangements.
- A dynamic and collaborative work environment that values initiative and innovation.
We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us!
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.
Ready to apply?
Apply to Nebius
Why work at Nebius
Nebius is leading a new era in cloud computing to serve the global AI economy. We create the tools and resources our customers need to solve real-world challenges and transform industries, without massive infrastructure costs or the need to build large in-house AI/ML teams. Our employees work at the cutting edge of AI cloud infrastructure alongside some of the most experienced and innovative leaders and engineers in the field.
Where we work
Headquartered in Amsterdam and listed on Nasdaq, Nebius has a global footprint with R&D hubs across Europe, North America, and Israel. The team of over 1400 employees includes more than 400 highly skilled engineers with deep expertise across hardware and software engineering, as well as an in-house AI R&D team.
The role
We seek an experienced Senior ML Solutions Architect to support customers leveraging Nebius Token Factory's serverless inference platform for open-source LLMs across multiple modalities. In this role, you will be collaborating with clients to design and implement customized LLM-based solution and architect scalable AI applications using our served models, and working together with our backend team to improve our platform to match the clients' needs.
You’re welcome to work remotely from Singapore.
Your responsibilities will include:
- Design and implement LLM-based solutions using Nebius Token Factory’s inference services to drive business value and support customer goals
- Build production-ready applications leveraging our serverless LLM APIs, including multimodal models (text, vision, audio) and domain-specific models
- Provide technical expertise in prompt engineering, RAG architectures, model selection, and inference optimization
- Collaborate with product and engineering teams to surface customer feedback and shape the platform roadmap
- Guide customers in scaling from POC to production with a focus on performance, reliability, and cost efficiency
We expect you to have:
- 5+ years of experience in ML/AI systems, with at least 2 years focused on LLMs and generative AI
- Deep knowledge of the LLM ecosystem, including model architectures and fine-tuning approaches
- Hands-on experience with:
- Prompt engineering and LLM pipeline development, including evaluation
- Agentic frameworks such as Langchain, Langsmith, smolagents, or equivalent
- Vector databases and RAG implementation patterns
- Deploying LLM-powered applications using APIs from OpenAI, Anthropic, or open-source models
- Strong Python programming skills
- Excellent communication skills, with the ability to clearly explain technical concepts to diverse audiences
It would be an added bonus if you have:
- Experience with inference frameworks and libraries (e.g., vLLM, SGLang, TensorRT-LLM, Transformers)
- Familiarity with inference optimization techniques such as quantization, batching, caching, and routing
- Work with multimodal AI models (e.g., vision-language, speech)
- Proficiency with DevOps tools (Docker, Kubernetes)
- Contributions to open-source ML/AI projects
Preferred technical stack:
- Programming Languages – Python
- ML Frameworks and Libraries – vLLM, SGLang, TensorRT-LLM, Transformers, OpenAI/Anthropic SDKs
- Frameworks for Agentic Pipelines – Langchain / Langsmith / smolagents / equivalent
- API and Web Frameworks – FastAPI, Flask
- MLOps and DevOps tools – Kubernetes (K8s), Docker, Git
- Cloud Platforms – AWS (SageMaker, Bedrock), GCP (Vertex AI), Azure (Azure ML)
What we offer:
- Competitive salary and comprehensive benefits package.
- Opportunities for professional growth within Nebius.
- Flexible working arrangements.
- A dynamic and collaborative work environment that values initiative and innovation.
We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us!
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.
Ready to apply?
Apply to Nebius
Why work at Nebius
Nebius is leading a new era in cloud computing to serve the global AI economy. We create the tools and resources our customers need to solve real-world challenges and transform industries, without massive infrastructure costs or the need to build large in-house AI/ML teams. Our employees work at the cutting edge of AI cloud infrastructure alongside some of the most experienced and innovative leaders and engineers in the field.
Where we work
Headquartered in Amsterdam and listed on Nasdaq, Nebius has a global footprint with R&D hubs across Europe, North America, and Israel. The team of over 1400 employees includes more than 400 highly skilled engineers with deep expertise across hardware and software engineering, as well as an in-house AI R&D team.
The role
We are scaling AI workloads across PoC and production environments.
As we grow, operational clarity and structured delivery become critical. We are hiring a Delivery Operations Manager to strengthen launch readiness, improve cross-team coordination, and manage operational relationships with external infrastructure vendors.
You will play a key role in strengthening operational excellence as we scale AI delivery across increasingly complex infrastructure environments.
You’re welcome to work remotely from Europe.
Your responsibilities will include:
Delivery Operations & Launch Readiness
- Maintain operational visibility across active PoCs and production workloads
- Establish lightweight launch readiness standards for production rollouts
- Ensure workload expectations, ownership, and escalation paths are clearly defined
- Reduce last-minute surprises in customer-facing launches
External Vendor Management
- Coordinate operational relationships with external and infrastructure vendors
- Track contracted capacity and provisioning timelines
- Monitor vendor performance and escalation workflows
- Partner with Legal and Finance on infrastructure-related agreements and follow-ups
Cross-Functional Alignment
- Improve clarity across Sales, Pre-Sales, Engineering, and Delivery handoffs
- Support structured weekly operational reviews
- Surface risks early and drive resolution across teams
You may be a good fit if:
- You have experience in cloud, AI, or infrastructure-heavy environments
- You are comfortable working with technical teams
- You have managed external vendors or infrastructure partners
- You bring structure without adding bureaucracy
- You are proactive in surfacing risks and improving execution discipline
What success looks like:
- Production launches are structured and predictable
- Active PoCs and workloads are visible and tracked
- External infrastructure vendors operate within clear expectations
- Cross-team delivery friction is reduced
What we offer:
- Competitive salary and comprehensive benefits package.
- Opportunities for professional growth within Nebius.
- Flexible working arrangements.
- A dynamic and collaborative work environment that values initiative and innovation.
We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us!
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.
Ready to apply?
Apply to Nebius