Role

We are looking for a Product Manager — Public Notifications & Communications to take our customer-facing notification experience to the next level. Nebius already has a working notification infrastructure — multi-channel delivery (email, Slack, in-console) and integrations across the platform. The next step is turning this foundation into a product: richer message content, self-serve access for all product teams, proactive system health signals, and communication quality that sets Nebius apart from hyperscalers.

What you will do

• Own the product vision and roadmap for the Notifier platform — expanding from core delivery infrastructure to a self-serve notification system usable by all Nebius products.
• Define and evolve notification standards: content guidelines, severity taxonomy, actionability requirements, and delivery SLAs across all channels.
• Improve maintenance communication: sharpen pre-notification processes, message quality, and multi-product coordination.
• Identify opportunities to reduce notification noise at scale and introduce missing event types that customers would find genuinely valuable.
• Work with platform teams to introduce proactive system health alerts — giving customers visibility into cluster state before issues escalate.
• Track and report notification quality metrics: delivery rates, customer feedback, and satisfaction trends.

What we expect

• Strong product opinion on when a notification adds value versus creates noise.
• Familiarity with cloud operational communication patterns: maintenance windows, service status, system health alerts.
• Technical understanding of notification delivery systems: queues, retry logic, multi-channel routing.
• Ability to set and evolve quality standards — including defining content policies and message templates.

Nice to have

• Experience with cloud infrastructure platforms (IaaS, PaaS) and their operational communication patterns.
• Familiarity with reliability concepts: SLOs, error budgets, maintenance windows.
• Experience driving cross-team product initiatives — aligning multiple engineering teams around shared requirements and delivery.

Success in this role

• All Nebius product teams can self-serve new notification types without cross-team coordination overhead.
• Notification content is consistently specific, actionable, and relevant — customers see notifications as a useful signal, not noise.
• Maintenance communication is timely and consistent across all products and regions.
• Customers have proactive visibility into cluster health before issues affect their workloads.

About Nebius

Nebius AI is an AI cloud platform with one of the largest GPU capacities in Europe. Launched in November 2023, the Nebius AI platform provides high-end, training-optimized infrastructure for AI practitioners. As an NVIDIA preferred cloud service provider, Nebius AI offers a variety of NVIDIA GPUs for training and inference, as well as a set of tools for efficient multi-node training. 

Nebius AI owns a data center in Finland, built from the ground up by the company’s R&D team and showcasing our commitment to sustainability. The data center is home to ISEG, the most powerful commercially available supercomputer in Europe and the 16th most powerful globally (Top 500 list, November 2023).  

Nebius’s headquarters are in Amsterdam, Netherlands, with teams working out of R&D hubs across Europe and the Middle East. 

Nebius AI is built with the talent of more than 500 highly skilled engineers with a proven track record in developing sophisticated cloud and ML solutions and designing cutting-edge hardware. This allows all the layers of the Nebius AI cloud – from hardware to UI – to be built in-house, distictly differentiating Nebius AI from the majority of specialized clouds: Nebius customers get a true hyperscaler-cloud experience tailored for AI practitioners. 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!

The role

The Risk Manager will serve as a key member of Nebius's Risk Management function, reporting directly to the Head of Risk within the Legal Department. This role is central to the day-to-day execution and continuous improvement of Nebius's enterprise risk management (ERM) framework, with a particular focus on risk identification, monitoring, and the maintenance and evolution of the company-wide risk register.

Operating within a rapidly growing, global AI-infrastructure organisation, the Risk Manager will act as a critical liaison between the Risk Management function and Nebius's business units — including Finance, IT, Security, HR, Operations, Compliance, Procurement, Infrastructure, and Commercial teams. The role requires consistent, proactive engagement with business function leaders to ensure that risks are surfaced, assessed, documented, and tracked in a timely and structured manner.

This is an operationally focused, high-visibility role that demands strong analytical rigour, clear communication skills, and the ability to build trusted relationships across the organisation. The Risk Manager will play an essential part in enabling Nebius to scale responsibly while balancing innovation, speed, and regulatory expectations.

Your responsibilities will include: 

Risk Identification & Assessment

The Risk Manager will lead and coordinate ongoing risk identification activities across all business functions, including the execution of periodic update of risk surveys and leading risk assessment workshops. This includes partnering with functional leaders to systematically identify emerging, operational, strategic, and regulatory risks relevant to Nebius's operations, products, and markets. The role holder will ensure that risk assessments are consistent, evidence-based, and aligned with the company's risk appetite and strategic priorities.

Risk Register Management & Monitoring

A core responsibility of this role is the ownership and day-to-day maintenance of Nebius's company-wide risk register. The Risk Manager will ensure that the register is continuously updated to reflect new and evolving risks, changes in risk ratings, the status of mitigation actions, and shifts in the business or regulatory environment. The role holder will establish and maintain a structured cadence of risk register reviews with risk owners and functional stakeholders the Risk Manager will drive remediation and follow-up with accountable parties where needed

Business Function Liaison & Cross-Functional Engagement

The Risk Manager will serve as the primary point of contact between the Risk Management function and Nebius's business units on all matters relating to risk identification, assessment, and monitoring. This involves building and sustaining strong working relationships with stakeholders in Legal, Security, Finance, IT, HR, Operations, Compliance, Procurement, Infrastructure, and Commercial teams. The role holder will facilitate regular risk reviews and check-ins with functional leaders, ensuring that risk information flows efficiently between the business and the central risk function

Risk Reporting & Insights

The Risk Manager will contribute to the preparation of clear, concise executive-level risk reports, dashboards, and presentations for the Head of Risk, the General Counsel, and senior leadership. This includes translating complex risk data into actionable insights and recommendations that support strategic decisions, new initiatives, market entry, and product launches.

Operational, Technology & Security Risk Support

The Risk Manager will work in collaboration with the Infrastructure and Technology departments, to support the assessment and monitoring of cybersecurity and information security risks, infrastructure, cloud, and AI platform risks.

We expect you to have: 

• 4–7 years of experience in risk management, compliance, internal audit, or a closely related discipline, preferably within technology, AI, cloud infrastructure, or highly regulated environments
• Solid working knowledge of enterprise risk management frameworks such as COSO ERM or ISO 31000
• Demonstrated experience in maintaining and updating enterprise-level risk registers and conducting structured risk assessments
• Experience working in multi-entity, international organisations with exposure to complex regulatory landscapes
• Proven ability to engage and collaborate cross-functionally with stakeholders across a range of business functions
• Ability to communicate risk information clearly and effectively to both technical and non-technical audiences
• Strong analytical skills, excellent written and verbal communication abilities, and a high degree of integrity, discretion, and sound judgement
• Ability to manage multiple priorities and iterate quickly in a fast-paced environment

It will be an added bonus if you have: 

• Exposure to AI governance, data privacy, cybersecurity, or emerging technology risks
• Experience contributing to Board or Audit Committee risk reporting materials
• Background in fast-scaling, high-growth, or pre-IPO environments
• Professional certifications in risk management (such as IRM Certificate/Diploma, CRISC, or equivalent)
• Familiarity with risk management tools and platforms (e.g., GRC software) and experience with data visualization or dashboard reporting

Competencies:

Analytical Rigour & Attention to Detail: Demonstrates a methodical, thorough approach to risk identification, assessment, and documentation. Maintains accuracy and completeness in the risk register and in all risk reporting outputs. Applies structured analytical methods to evaluate complex risk scenarios and translate findings into clear, evidence-based conclusions.

Cross-Functional Collaboration: Builds and maintains strong, trust-based relationships with colleagues across the organisation, from operational teams to senior functional leaders. Engages proactively with business units to surface risks and ensure that the risk function remains closely connected to the realities of the business.

Communication & Influence: Communicates risk information with clarity, precision, and appropriate context, tailoring messages to different audiences — from technical teams to executive leadership. Able to influence stakeholders and promote risk awareness without direct authority.

Problem Solving & Execution: Breaks down complex, ambiguous risk scenarios into structured, actionable plans. Balances rigour with pragmatism, ensuring that risk processes are fit for purpose without being overly burdensome.

Autonomy & Judgement: Operates effectively with a degree of independence, exercising sound judgement in prioritising risks and escalating issues appropriately to the Head of Risk. Comfortable working in ambiguous situations and adapting quickly to changing circumstances in a fast-paced environment.

Risk Culture Champion: Actively supports the embedding of risk awareness and ownership into day-to-day decision-making across Nebius. Promotes a pragmatic, positive approach to risk management that enables rather than constrains the business.

Integrity & Professionalism: Upholds the highest standards of integrity, discretion, and ethical conduct in all aspects of the role. Handles sensitive and confidential information with care and professionalism.

The role

The Treasury Back-Office Specialist is responsible for ensuring a robust, compliant, and scalable treasury back-office function.

This role plays a critical part in SOX compliance, treasury business and IT controls, and process excellence, while also driving innovation through treasury automation and AI initiatives. The position works closely with Treasury Front Office, Treasury Mid Office, Finance, IT, Internal Audit/ Control, and external partners to ensure accurate execution, strong governance, and continuous improvement of treasury operations globally.

This is a 12-month contract full-time role with possible to extend.

Your responsibilities will include: 

SOX Compliance & Treasury Controls

Own and maintain SOX compliance for Treasury-related processes and systems
Design, document, and test Treasury Business Controls and IT General Controls (ITGCs)
Act as primary Treasury contact for Internal Audit, External Audit, and SOX advisors
Identify control gaps and drive remediation plans in collaboration with Finance and IT
Ensure segregation of duties, access controls, and approval workflows across treasury systems

Treasury Back-Office Operations

Oversee day-to-day treasury back-office activities, including:

• Trade confirmations and settlements
• Cash movements and bank account administration
• Deal lifecycle administration (FX, funding, investments, guarantees)

Ensure accuracy, completeness, and timeliness of treasury transactions
Maintain treasury master data, mandates, documentation and managing administrator tasks
Kyriba superuser for admin tasks
Bank Account Management

Corporate Cards Management

End-to-end ownership of the corporate cards program, including:

• Card issuance, limits, and user administration
• Policy compliance and spend controls
• Integration with expense management systems

Act as escalation point for card providers and internal stakeholders

Treasury Process Design & Optimization

Design, standardize, and continuously improve end-to-end treasury processes, in LUCID
Lead process documentation (process flows, RACI, control matrices)
Support treasury system implementations, upgrades, and integrations
Drive automation to reduce manual work, errors, and operational risk

Treasury AI & Innovation Initiatives

Identify and lead AI and advanced analytics use cases within Treasury, such as:

• Exception monitoring and anomaly detection
• Forecasting support and data quality checks
• Automated reconciliations and reporting

Partner with IT, Data, and external vendors to pilot and scale AI solutions
Ensure innovation initiatives remain compliant with internal controls and SOX requirements

Stakeholder Management & Leadership

Act as a trusted partner to Treasury, Finance, IT, Audit, and Compliance teams
Provide guidance and training on treasury processes and controls
Contribute to treasury policy development and governance frameworks
Support junior team members and promote best practices across the function

We expect you to have: 

• Bachelor’s or Master’s degree in Finance, Accounting, Economics, or related field
• 5–8+ years of experience in Treasury Operations / Back Office, preferably in an international or listed company
• Strong hands-on experience with SOX compliance and audit environments
• Experience with treasury management systems (e.g., Kyriba, Oracle NetSuite, FXALL, Banking applications etc.)

Competencies:

• Deep understanding of treasury products, processes, and controls
  Strong knowledge of IT controls, system access management, and process automation
  Structured, detail-oriented, and control-minded with a continuous improvement mindset
  Comfortable working at the intersection of Treasury, Finance, IT, and Audit
  Curious and forward-looking, with interest in AI and digital treasury transformation
  Excellent communication skills and ability to operate in a global environment

The role

As a Technical Project Manager, you will own the delivery of a defined workstream within large-scale data center and GPU infrastructure programs. In this role you’ll be responsible for tracking progress, managing dependencies, and ensuring your workstream is delivered on time and at quality.
This is a hands-on role at the intersection of infrastructure, execution, and coordination, with strong exposure to real-world data center delivery.
Travel: On-site presence at data centers will be required during key deployment phases.

Your responsibilities will include:

• Own delivery of a defined workstream within a larger data center or infrastructure program.
• Track scope, schedule, and dependencies, escalating risks when needed.
• Coordinate with engineering, networking, construction, and operations teams.
• Maintain clear and structured reporting on progress, risks, and blockers.
• Support vendor and contractor coordination within your scope.
• Work closely with the Senior TPM to align on priorities and execution approach.

Technical Scope & Expectations

This role requires exposure to physical infrastructure environments, not only software-based projects.
You should be comfortable working with or learning about:

• Data center environments: basic understanding of infrastructure readiness (power, cooling, space, networking dependencies).
• Compute infrastructure: knowledge about server and storage equipment.
• Networking: cabling, connectivity, and integration dependencies.
• Deployment & bring-up: understanding how systems move from installation to operational readiness.

You are not expected to be an expert, but you should:

• Be willing to learn technical concepts quickly.
• Understand how different parts of infrastructure depend on each other.
• Identify when something is not ready or at risk and escalate appropriately.
• Communicate effectively with technical teams.

We expect you to have:

• 2–5 years of experience in project management, operations, or technical coordination roles.
• Ability to organize work, track progress, and manage multiple tasks simultaneously.
• communication skills and ability to work with cross-functional teams.
• Structured thinking and attention to details.
• Willingness to learn and grow in a fast-paced, technical environment.

It will be an added bonus if you have

• Exposure to data center, networking, or hardware-related projects,
• Familiarity with project management tools (Jira, Asana, etc.),
• Understanding of cloud environments infrastructure,
• Certifications or coursework in project management.

The role

As a Senior Technical Program Manager, you will own the end-to-end delivery of GPU clusters and other critical IT infrastructure components that power next-generation AI workloads. In this high-impact role, you’ll coordinate engineering, networking, construction, and operations teams to deliver GPU clusters and critical IT infrastructure at hyperscale. You’ll work closely with infrastructure leadership to define strategy, manage risk, and ensure on-time, high-quality launches.You’ll play a key role in scaling our global infrastructure footprint across the EU markets.

Travel: This position may require on-site presence at data centers during key deployment phases.

Your responsibilities will include: 

• Lead end-to-end delivery of new data center programs, from design through handover to operations.
• Define and manage scope, schedule, and risks, maintaining focus on critical paths and proactive issue resolution.
• Translate business and technical requirements into actionable project plans and measurable deliverables.
• Oversee vendor and contractor execution, ensuring quality, budget, and schedule.
• Provide structured program reporting, including dashboards, documentation, and executive updates.

We expect you to have: 

• 7+ years of experience in technical program or project management, with direct involvement in large-scale IT infrastructure deployments.
• Solid technical background in relevant domains, with the ability to engage deeply in technical discussions and challenge solutions where needed.
• Proven ability to stay focused on critical paths and drive results in fast-paced, changing environments.
• Communication and stakeholder management skills; able to translate complex topics clearly.
• Leadership by influence and example in cross-functional or matrixed teams.
• Proficient with modern project management tools and methodologies (e.g., Jira, Asana, hybrid Agile/Waterfall).

It will be an added bonus if you have: 

• Understanding of construction projects structure and key risk factors in facility build-outs.
• Knowledge of HPC
• Experience in business processes design or automation tools development.
• PMP, PRINCE2, or similar industry certifications.

The role

We are seeking a customer-obsessed Solutions Architect to lead technical engagement with Nebius customers across Europe. This role is focused on presales excellence, strong technical storytelling, and driving adoption of Nebius AI Cloud across a wide range of industry segments.

As a Solutions Architect, you will act as a trusted technical partner to customers, helping them understand, evaluate, and adopt Nebius for their AI/ML and high-performance computing workloads. You will combine deep technical expertise with strong communication skills to clearly articulate Nebius’ value proposition and differentiate our platform in a competitive market.

You’re welcome to work remotely from Europe.

Your responsibilities will include:

• Own end-to-end technical presales engagements, from discovery through solution design, PoC execution, and production readiness
• Serve as a trusted technical advisor to customer stakeholders, including CTOs, Heads of AI/ML, and platform engineering teams
• Deliver compelling technical presentations, demos, and workshops that clearly communicate the value of Nebius across different customer segments
• Execute demos and PoCs to demonstrate performance, scalability, and cost efficiency of Nebius solutions
• Translate customer requirements into scalable, production-ready architectures and best practices
• Collaborate closely with Sales, Product, and Engineering to align customer needs with Nebius capabilities and roadmap
• Act as a technical advocate for customers internally, ensuring feedback is incorporated into product and go-to-market strategy
• Support regional go-to-market efforts, including events, meetups, webinars, and technical content creation
• Contribute to building repeatable technical playbooks and assets for the European market

We expect you to have:

• 2–5+ years of experience in technical roles such as Solutions Architect, Cloud Architect, Sales Engineer, or similar, with strong customer-facing exposure
• Proven experience in presales or customer-facing technical roles, including discovery, solution design, and PoC execution
• Strong ability to deliver technical pitches and clearly explain complex infrastructure and AI/ML concepts to both technical and business audiences
• Experience positioning cloud or infrastructure solutions and articulating value propositions in competitive environments
• Solid understanding of ML/AI workloads, including training and inference, and the underlying infrastructure requirements
• Experience with cloud platforms, Kubernetes, and distributed systems
• Hands-on experience with Infrastructure as Code (e.g., Terraform) and scripting/programming (Python preferred)
• Strong communication and storytelling skills, with the ability to adapt messaging across different customer segments
• Deep understanding of the European market, including customer expectations, buying behaviors, and local ecosystem
• Fluency in English plus another language preferred (both written and spoken), with the ability to engage confidently with local customers and stakeholders
• A highly customer-centric mindset, with the ability to balance technical depth and business value

It will be an added bonus if you have:

• Experience with GPU-accelerated workloads and AI infrastructure (NVIDIA ecosystem, CUDA, etc.)
• Hands-on experience with MLOps tools and frameworks (Kubeflow, MLflow, etc.)
• Familiarity with HPC environments and schedulers (e.g., Slurm)
• Experience contributing to regional go-to-market or developer/community initiatives

Customer experience

Customer experience at Nebius AI Cloud involves tackling customers’ challenges and directly impacting their success by solving real-world AI and ML problems at massive GPU cloud scale. You’ll not only resolve issues, but play a key role in shaping clients’ business success by optimizing their AI solutions.

Working with advanced GPUs such as H200, B200 and GB200, as well as modern ML frameworks, you’ll influence the development of the Nebius AI Cloud and gain experience at the intersection of infrastructure and AI. With minimal bureaucracy, you’ll have the freedom to innovate, take ownership and drive change. Opportunities for growth are abundant in this vibrant and supportive professional community.

The role

We are looking for a Partner Solutions Architect to serve as the technical interface between Nebius and our strategic technology partners, ranging from data platforms and MLOps vendors to AI frameworks and ISVs that build on GPU infrastructure. 

This is a hands-on engineering and integration role. You will design and develop integrated solutions, build reference implementations, enable partner engineering teams, and ensure joint customers succeed with combined offerings. You will influence Nebius’ product roadmap and drive deep technical collaboration across partner ecosystems.

You’re welcome to work from our office in Amsterdam or remotely from any EU country.

Your responsibilities will include: 

• Own the technical relationship with strategic partners as the primary interface to Nebius engineering and product
• Design and architect high-impact integration solutions, delivering clear joint customer value
• Build and maintain reference implementations and production-grade integrations
• Define enterprise-ready integration patterns (networking, security, compliance, observability)
• Translate partner and customer feedback into actionable product and roadmap requirements
• Enable partner teams through technical documentation, training, and demo environments
• Provide technical leadership in joint customer deployments, architecture reviews, and complex troubleshooting

We expect you to have: 

• 5+ years in solutions architecture, partner engineering, or technical pre-sales at cloud or data platform companies
• Strong expertise in cloud infrastructure
• Hands-on experience with GPU-accelerated AI/ML workflows (training, inference, MLOps)
• Proven background in integration architecture (API design, data pipelines, security, observability)
• Experience with Python and IaC tools
• Excellent communication skills with the ability to engage technical and non-technical stakeholders

It will be an added bonus if you have: 

• Track record of building or scaling partner technical programs or ecosystems
• Experience working with or at Snowflake, Databricks, AWS, Azure, or GCP
• Background in ML lifecycle (training pipelines, fine-tuning, inference optimization, RAG

• Write and maintain UI copy in Nebius Console that improves and streamlines the user experience, ensuring consistency and alignment with product documentation.
• Provide alternative UI copy options based on the proposed design solutions.
• Collaborate closely with product managers, designers, and engineers on product initiatives.
• Develop and maintain voice & tone guidelines; define and scale content patterns within the design system.
• Simplify complex technical scenarios into clear, actionable interface language.
• Conduct content audits of the existing interfaces and identify areas for improvement.
• Actively participate in the life and processes of the Product Design Team.

• 5+ years of experience in UX writing / content design.
• Strong product thinking and the ability to approach design as a system of interconnected user scenarios.
• Excellent written and spoken English.
• Familiarity with cloud computing concepts (virtual machines, containers, Kubernetes, storage, networking, etc.) and ML/AI concepts (training, inference, fine-tuning, etc.).
• Proficiency in Figma.
• A portfolio featuring real interface cases (before/after examples and clear explanation of decision logic).
• Solid understanding of core UX principles: user flows, edge cases, states, and system feedback.

• Experience in technical writing.
• Experience using AI-powered plugins in Figma or other tools to support content creation workflows.
• Review UI texts directly in the codebase and occasionally update or fix copy within the code when necessary.

Summary:

Location: Amsterdam
Duration: 3 months
Start date: June 2026 
Compensation: Paid
Eligibility: Current University student (Computer Science or related field), Recent Graduate or Early Career specialist
Work authorization: Permitted to work in the job’s location

The role

We are looking for an Early Talent to develop cloud-based integrations on Microsoft Azure. You will work with experienced engineers and gain hands-on experience building API-based and cloud-native integration solutions.

We expect you to have

The Role

We are opening a 3–6 month Early Career program within our AI R&D team. You will work alongside experienced researchers to solve challenges in LLMs, reinforcement learning, and agentic systems.

We are looking for Early talents to support research in:

• Reinforcement learning for agents and reasoning models
• Building reinforcement learning environments
• Efficient model distillation and evaluation

Your responsibilities will include:

• Assist in designing and running experiments to train LLMs and speculators for them
• Help analyze experimental results and document findings
• Write and maintain code for data mining, processing, and model evaluation
• Collaborate with the team to explore new methods in the selected research direction
• Participate in technical discussions and discuss future steps of research
• Advanced methods for efficient speculative decoding
• Inference optimization techniques

We expect you to have:

• Strong knowledge of computer science and machine learning fundamentals
• Experience with Python and familiarity with deep learning frameworks
• Ability to write clean, efficient code
• Strong problem-solving skills and a willingness to learn quickly
• Good communication skills in English
• Permitted to work in the job’s location

Nice to have:

• Previous experience with NLP/reinforcement learning/AI agents projects
• Familiarity with current LLM concepts
• Enrollment in or completion of a degree in Computer Science, AI, or a related field
• Contributions to open-source projects

What we offer

• Competitive salary and comprehensive benefits package
• Mentorship from experienced AI, ML, and cloud infrastructure professionals
• Hands-on experience with real customer workloads and production systems
• Remote work flexibility and a collaborative, supportive team environment
• Opportunity to be considered for a full-time role after the Early Talent Program

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!

The role

The Accounts Payable Analyst is responsible for managing vendor invoices, processing payments, and maintaining accurate financial records within the company’s accounting system. This role ensures timely and accurate payment processing, compliance with internal controls, and supports month-end and year-end close activities. The AP Analyst collaborates closely with cross-functional teams to maintain efficient purchase-to-pay operations and support audit and tax compliance.

Your responsibilities will include: 

• Process and verify supplier invoices, ensuring accuracy, proper coding, and timely approvals.
• Prepare and execute vendor payments in accordance with company policies and payment schedules.
• Reconcile vendor statements and resolve discrepancies promptly.
• Perform reconciliations and verifications of AP balances, ensuring accurate and up-to-date records in Netsuite and timely, correct balances
• Support monthly and yearly financial closings, ensuring completeness and accuracy of AP data.
• Assist with intercompany and tax-related transactions, ensuring accurate documentation and reporting.
• Prepare audit documentation and support internal and external audit requests.
• Contribute to process improvements to increase efficiency and accuracy in AP operations.
• Ensure adherence to internal controls, accounting standards, and company procedures.

We expect you to have: 

• Bachelor’s degree in Accounting, Finance, or a related field.
• 5-8 years of experience in accounting or accounts payable.
• Strong understanding of invoice processing, reconciliations, and vendor management.
• Proficiency in Microsoft Excel (pivot tables, lookups, and data analysis). · Experience with NetSuite or similar ERP systems.
• Strong attention to detail, accuracy, and organizational skills.
• Fluency in English and Hebrew (written and spoken).
• Ability to work collaboratively within a finance team.

It will be an added bonus if you have: 

• Experience in a multinational or fast-paced environment.
• Knowledge of US GAAP or IFRS and VAT/tax compliance.
• Experience with procurement tools, such as ZIP

Competencies & Behavioral Traits

• High attention to detail and commitment to accuracy.
• Strong organizational and time management skills.
• Proactive and solution-oriented mindset.
• Clear and effective communication across teams and functions.
• Ability to work independently while managing multiple priorities.
• Adaptability to changing priorities and environments.

The role

We are seeking a strategic and hands-on Third-Party Risk Management (TPRM) Lead to design, build, and lead a best-in-class global TPRM function. This role will be responsible for establishing the framework, governance, and operating model to identify, assess, mitigate, and monitor risks associated with third parties (including customers) across diverse business models, including B2B and B2C.

The role also encompasses oversight of customer and partner risk and compliance domains, including Anti-Bribery & Corruption (ABAC), Sanctions, Export Controls, Anti-Money Laundering (AML), Human Rights, and responsible/ethical AI considerations. A key dimension of the role includes embedding industry risk assessments (e.g., high-risk sectors, dual-use technologies, regulated industries) into onboarding, due diligence, and ongoing monitoring processes.

A critical component of the role includes supporting third-party and due diligence efforts in the context of mergers and acquisitions (M&A), ensuring that external risks are effectively evaluated and integrated into deal decision-making and post-transaction planning.

This role will play a key part in scaling and maturing Nebius’ TPRM capabilities in line with rapid business growth and evolving regulatory expectations.

Your responsibilities will include: 

Strategy & Leadership

• Design and implement Nebius’ global Third-Party, Customer, and Customer Risk Management framework, incorporating industry risk, aligned with regulatory expectations and industry best practices
• Build and lead a high-performing risk team spanning third-party, customer, and partner risk domains
• Act as an advisor on risk exposure (vendors, customers, partners, resellers, distributors) across industries and geographies
• Define and track KPIs/KRIs to measure program effectiveness and maturity
• Define and implement TPRM systems, tooling, and workflow automation to support scalable onboarding, due diligence, and monitoring processes

Third-Party, Customer, Partner & Industry Risk Lifecycle Management

• Establish end-to-end processes for onboarding, risk assessment, due diligence, contracting, monitoring, and offboarding across:
• Third-party vendors and suppliers
• Customers (B2B and B2C)
• Intermediaries such as partners, resellers, distributors, and agents
• Develop risk tiering methodologies that incorporate:
• Relationship type (supplier, customer, intermediary)
• Business model (B2B, B2C)
• Industry/sector risk (e.g., financial services, pharmaceutical, crypto, AI, telecommunications)
• Geographic exposure and regulatory risk
• Oversee due diligence processes, including KYC/KYB, beneficial ownership analysis, sanctions screening, and industry risk profiling
• Implement enhanced due diligence for high-risk industries, intermediaries, and jurisdictions
• Ensure ongoing monitoring, including adverse media screening, transaction-based triggers, sector-specific red flags, and periodic reviews
• Integrate risk processes with procurement, sales, partnerships, legal, compliance, and security functions

Compliance & Industry Risk

• Lead and oversee compliance frameworks and controls across:
• Anti-Bribery & Corruption (ABAC), with emphasis on high-risk industries and third-party intermediaries
• Sanctions compliance, including sectoral sanctions and restricted industries
• Export controls, including dual-use goods/technology and industry-specific restrictions
• Anti-Money Laundering (AML) / Counter-Terrorist Financing (CTF), including sector-driven risk indicators
• Human Rights & ESG risks, including supply chain exposure in high-risk industries
• Responsible AI risk, including use cases and customers in sensitive or regulated sectors
• Provide risk guidance on entering or expanding into higher-risk industries or customer segments
• Escalate material risks to senior governance forums and recommend mitigation or risk acceptance strategies

M&A Due Diligence

• Lead third-party, customer, partner, and industry risk due diligence for M&A transactions
• Partner with corporate development, regulatory and business teams to assess:
• Vendor and supplier ecosystems
• Customer portfolios (B2B and B2C exposure)
• Partner, reseller, and distribution networks
• Industry concentration risks and exposure to high-risk sectors
• Exposure to sanctions, AML, ABC, export control, human rights, and AI-related risks
• Identify potential liabilities, contractual risks, and compliance gaps, including those driven by industry exposure
• Support integration planning by aligning acquired entities with Nebius’ risk and compliance standards

Governance, Risk & Reporting

• Develop and maintain policies, standards, and procedures covering third-party, customer, partner, and industry risk
• Ensure compliance with applicable regulations and standards (e.g., AML directives, sanctions regimes, export control laws, ESG frameworks, AI governance standards)
• Prepare reporting and materials for senior management, risk committees, and board-level stakeholders, including insights on industry risk exposure

Stakeholder Management

• Collaborate closely with Procurement, Sales, Legal, Compliance, Information Security, Privacy, Finance, and business units
• Act as the primary point of contact for third-party, customer, partner, and industry risk matters across the organization
• Engage with partners, and auditors as needed

Technology & Data

• Leverage existing screening tools (e.g., Dow Jones) and enhance their use within the broader TPRM framework
• Define and implement scalable workflows, automation, and system integrations to support third-party and customer risk management
• Drive the evolution of TPRM tooling and data capabilities in line with business growth

We expect you to have: 

• Degree in business, law or relevant compliance field
• 10+ years of experience in third-party risk, financial crime compliance, or enterprise risk management
• Proven experience building and scaling TPRM and/or customer due diligence programs in a global organization
• Strong expertise in ABAC, sanctions, export controls, and broader compliance frameworks
• Experience managing risk across different business models (B2B, B2C) and complex partner ecosystems (resellers, distributors, agents)
• Experience supporting M&A transactions, including due diligence and integration
• Deep understanding of regulatory expectations across key jurisdictions (e.g., EU, US, UK)

Competencies:

• Demonstrated leadership experience, including building and managing teams
• Strategic thinker with strong execution capabilities
• Excellent stakeholder management and communication skills, including at senior management
• Strong analytical, investigative, and risk assessment skills
• Ability to operate in a dynamic, high-growth environment
• High level of integrity and sound judgment

The Product

In a rapidly evolving world, trust in AI depends on AI agents being grounded in fresh, verified real-world data. Search is the foundation that makes this possible.

We are building an agent-native search platform designed specifically for AI systems rather than human users. Our product provides programmatic, low-latency, and observable search APIs that AI agents use to retrieve, filter, and reason over real-world information at scale.

The Role

We are looking for a Senior Software Engineer to work on the runtime systems of a novel search engine tailored for agentic AI consumption.

In this role, you will focus on building low-latency, high-throughput systems that serve search queries in real time. You will work on the critical path of user-facing requests, where performance, predictability, and efficiency directly impact product quality. You will design and operate systems that handle thousands of requests per second under strict latency budgets, optimising every layer from request handling to data access and response assembly.

In this position, your responsibility will be to

• Design, implement, and operate core runtime services for serving search queries at scale
• Build and optimise request flows, including query processing, retrieval orchestration, and response assembly under strict latency budgets
• Develop systems that maintain performance and predictability under high load
• Optimise CPU, memory, and data access patterns in performance-critical paths
• Ensure reliability, observability, and predictability across production services
• Build well-tested systems with clear responsibilities and interaction contracts, while remaining flexible as architecture evolves
• Define and implement observability primitives, including structured logs, metrics, traces, and latency breakdowns
• Monitor throughput, latency, and resource usage, and drive improvements in performance and cost efficiency
• Collaborate with indexing and ML teams to integrate retrieval and ranking components, keeping ML logic decoupled from core system internals
• Support experimentation and iteration through controlled rollouts and rigorous benchmarking

You may be a good fit if you:

• Have 5+ years of experience as a software engineer working on production backend systems
• Have strong hands-on expertise in C++ or Rust in real-world, high-load services
• Have built and operated high-load, low-latency user-facing systems handling thousands of RPS under strict latency constraints
• Understand performance at a systems level — CPU, memory, networking, and data access
• Have operated your own code in production: deployed it, debugged incidents, and rolled back changes when necessary
• Think end-to-end about request flows rather than staying within isolated components
• Can balance correctness, latency, and development velocity, making pragmatic tradeoffs when scope or time requires
• Collaborate effectively across engineering, ML, and product teams, communicating clearly in cross-functional settings

Strong candidates may also have experience with:

• DBMS internals (open source or SaaS) and cloud infrastructure
• High-load web applications or large-scale APIs
• Performance-critical systems such as trading platforms or real-time data pipelines
• Low-level performance tuning and hardware-level optimisation
• Open-source contributions or active involvement in the engineering community
• Competitive programming or CTF participation
• SHAD or similar advanced technical programmes
• Conference talks or technical publications

We conduct coding interviews as part of the process.

Nebius Managed Kubernetes (mk8s) mission is to grow the Nebius cloud platform by providing a Kubernetes-native way to run AI systems with high efficiency and low operational overhead.
With a single click, it provides a Kubernetes cluster on top of Nebius services for compute (VMs) and networking.
In 2026, the service is scaling 10× and is expected to manage customer workloads across tens of thousands of GPU servers in more than 10 data centers.

You will lead the mk8s Core team, one of three mk8s teams. The Core team owns the API, the core of the service control plane, cluster autoscaling, platform integrations, and running k8s add-ons.

At Nebius, team leads are hands-on. We expect you to be a senior or staff engineer now (or earlier in your career). You will start as an individual contributor to gain context, then take on managerial responsibilities.

In this position, you will be responsible to:

• Lead by example. Set the quality bar by spending a significant portion of your time on IC work: writing and reviewing code, leading projects, and participating in on-call rotation, incident mitigation, and post-incident analysis.
• Manage 4–8 mid-to-senior engineers. Provide context, coach, and give regular feedback.
• Maintain the technical vision for your area of responsibility.
• Collaborate with the Product Manager and Service Owner to shape product vision and plans.

Examples of outcomes you could drive as a Team Lead

• Optimize the service control plane to create and manage 20K GPU nodes in a single Kubernetes cluster, enabling a major contract for the company.
• Integrate cluster autoscaling approaches (e.g., Karpenter) to improve resource utilization and support seamless auto-upgrades.
• Provide a Kubernetes-native way to use local disks to reduce disk I/O bottlenecks for AI training and inference, improving efficiency.
• Deliver managed Layer 7 load balancers to reduce operational overhead for customers.

What you will bring to the table:

• 8+ years of professional software engineering or management experience
• Excellent knowledge of Golang, or you are ready to quickly switch to this programming language
• Expertise with
• Multi-month technical projects
• Tech leading engineers
• Owning multi-month technical projects.

It would be an added bonus if you had:

• Experience with Team management, Kubernetes administration, Developing Kubernetes controllers

The role

As a Senior Technical Program Manager, you will own the end-to-end delivery of GPU clusters and other critical IT infrastructure components that power next-generation AI workloads. In this high-impact role, you’ll coordinate engineering, networking, construction, and operations teams to deliver GPU clusters and critical IT infrastructure at hyperscale. You’ll work closely with infrastructure leadership to define strategy, manage risk, and ensure on-time, high-quality launches.You’ll play a key role in scaling our global infrastructure footprint across the EU markets.

Travel: This position may require on-site presence at data centers during key deployment phases.

Your responsibilities will include: 

• Lead end-to-end delivery of new data center programs, from design through handover to operations.
• Define and manage scope, schedule, and risks, maintaining focus on critical paths and proactive issue resolution.
• Translate business and technical requirements into actionable project plans and measurable deliverables.
• Oversee vendor and contractor execution, ensuring quality, budget, and schedule.
• Provide structured program reporting, including dashboards, documentation, and executive updates.

We expect you to have: 

• 7+ years of experience in technical program or project management, with direct involvement in large-scale IT infrastructure deployments.
• Solid technical background in relevant domains, with the ability to engage deeply in technical discussions and challenge solutions where needed.
• Proven ability to stay focused on critical paths and drive results in fast-paced, changing environments.
• Communication and stakeholder management skills; able to translate complex topics clearly.
• Leadership by influence and example in cross-functional or matrixed teams.
• Proficient with modern project management tools and methodologies (e.g., Jira, Asana, hybrid Agile/Waterfall).

It will be an added bonus if you have: 

• Understanding of construction projects structure and key risk factors in facility build-outs.
• Knowledge of HPC
• Experience in business processes design or automation tools development.
• PMP, PRINCE2, or similar industry certifications.

About the Role
We are looking for a QA Engineer specializing in servers and server components to ensure quality, performance, reliability, and compatibility for purpose of modern server platforms.
In this role, you will work closely with hardware, firmware, system, services, and application teams to validate server architectures and components across the full product lifecycle - from early prototypes to production deployment.

Responsibilities
System & Component Validation
• Qualify complete server system architecture, including compute, memory, storage, networking, and accelerators
• Test and validate interactions between server components: CPU, DRAM, NVMe devices, Network interface cards (NICs), GPUs / accelerators.
• Perform individual component testing to verify performance, stability, and reliability prior to and after system integration
• Execute system-level validation under different configurations, workloads, and use cases
• Evaluate benchmark results against: technical specifications, business and application requirements, historical baselines and previous generations
• Identify performance regressions, instability, and reliability issues under sustained load and stress conditions
• Ensure hardware components and firmware meet business needs, performance goals, and specifications

Firmware, BIOS & BMC Validation
• Test and validate firmware for BMC / BIOS / FPGA
• Validate BMC functionality including IPMI/Redfish, sensors, power, thermal management, and logging
• Perform firmware upgrade, downgrade, and regression testing
• Assess firmware impact on performance, stability, and reliability across different hardware configurations
• Prepare and maintain test cases, checklists, and test reports
• Participate in platform validation for manufacturing and production readiness

Required
• Strong understanding of server system architecture
• In-depth knowledge of server components and their operation:
• Experience with component-level and system-level testing
• Understanding of BIOS/UEFI and BMC fundamentals
• Practical experience with Linux (command line, system tools, logs)
• Scripting skills (e.g. Bash, Python) for test and benchmark automation
• Ability to analyze performance data and identify regressions or anomalies
• Strong debugging, documentation, and communication skills

Nice to Have
• Experience with data center or server-grade hardware platforms
• Familiarity with common bench-marking and stress tools
• Understanding of PCIe topology and system interconnects
• Experience with reliability, power, and thermal testing
• Exposure to production, manufacturing, or fleet-scale validation
• Experience working with early hardware prototypes

The role 

The Data Engineering team is responsible for building and maintaining robust data infrastructure that powers analytics, and business intelligence across Nebius. We design and implement scalable data pipelines, optimize data storage and processing, and enable data-driven decision making across the organization. The team works closely with product teams and business stakeholders to ensure alignment with company goals.We are looking for a Data Engineer to design, build, and maintain our data infrastructure and pipelines. You will work on processing large-scale datasets, optimizing data workflows, and enabling analytics capabilities that support our rapidly growing cloud platform.

Your responsibilities: 

• Design, develop, and maintain scalable data pipelines.
• Build and optimize data infrastructure.
• Implement data quality monitoring and validation frameworks.
• Optimize data storage, processing, and query performance for large-scale datasets.
• Design and implement data models for analytics and reporting use cases.
• Develop tools and automation to improve data engineering workflows and productivity.
• Ensure data governance, security, and compliance standards are met.
• Participate in on-call rotation to support production data systems.

Must-haves: 

• 3+ years of experience in data engineering or related roles.
• Experience building and maintaining data pipelines using orchestration tools (e.g., Airflow, Prefect, Dagster).
• Strong proficiency in SQL and solid programming skills in Python.
• Experience with distributed data processing frameworks (e.g., Apache Spark, or similar).
• Knowledge of data modeling principles and best practices.
• Understanding of data architectures and storage systems.

Nice-to-haves: 

• Experience with real-time data streaming platforms.
• Familiarity with Infrastructure as Code tools (Terraform, etc).
• Experience with containerization (Docker) and Kubernetes.
• Knowledge of data governance and privacy frameworks (GDPR, SOC2).
• Knowledge of data quality and observability tools (Great Expectations, etc.).

We conduct coding interviews as part of the process.

The role 

Nebius is building next-generation AI infrastructure at scale. We are looking for a Field Technical Lead to drive on-site execution of new data center deployments, leading technical teams and contractors while ensuring high-quality, on-time delivery. This position requires frequent travel to data centers during key deployment phases. The person in this role can be located anywhere in the EU or UK but must be available for regular travel to data center deployments around EU/UK. 

Your responsibilities will include: 

• Technically lead on-site deployment of GPU-based compute clusters, storage systems, and high-speed networking in data centers.
• Support Project Managers in planning, coordinating, and tracking project delivery activities.
• Organize and supervise contractors, vendors, and internal technical teams to ensure smooth execution of deployment workstreams.
• Proactively identify, troubleshoot, and resolve technical and operational issues during deployments.
• Maintain clear and accurate project documentation, including deployment plans, risk logs, issue trackers, and acceptance reports.
• Ensure transparent communication with all stakeholders by providing regular status updates, escalating blockers, and managing expectations.
• Collaborate closely with cross-functional teams including engineering, networking, operations, and supply chain.
• Participate in related project activities such as automation initiatives, process improvements, and post-deployment support when required.

We expect you to have: 

• Proactive, ownership-driven leader with the ability to anticipate issues, drive decisions on-site, and lead teams through complex deployments.
• Proven hands-on experience with data center infrastructure deployments, ideally in high-performance computing or AI-focused environments.
• Strong understanding of data center operations including racking, structured cabling, power planning, and cooling considerations.
• Technical knowledge of GPU servers, compute nodes, storage platforms, and high-speed networking technologies.
• Experience working within project delivery frameworks, collaborating closely with Project Managers, and managing subcontractors or vendors.
• Excellent problem-solving skills with the ability to troubleshoot and resolve issues in on-site, time-critical environments.
• Strong communication skills in English, both written and verbal.
• Ability to document processes, maintain tracking systems, and produce clear, structured deployment and status reports.

It will be an added bonus if you have: 

• Understanding of construction projects structure and key risk factors in facility build-outs.
• Knowledge of HPC
• Experience in business processes design or automation tools development.
• PMP, PRINCE2, or similar industry certifications.

The role

We are seeking an Ethics & Compliance Specialist to support the development , implementation, and and day-today execution of its global Ethics & Compliance program.

This role is ideal for someone with a solid compliance foundation who wants to work across multiple compliance areas, contribute to process improvements, and help scale a modern compliance function in a fast-growing tech environment.

You will work closely with Ethics & Compliance, Legal, HR, and varrious other business and technology teams to ensure compliance is practical, efficient, and embedded into business operations.

Your responsibilities will include: 

• Support the implementation and ongoing management of the compliance program across multiple areas, including:

• Conflict of Interest “COI”
• Third-Party Risk Management
• Anti-Bribery & Corruption
• Gifts & Entertainment
• Training & awareness

• Assist in reviewing compliance matters and business requests, ensuring alignment with company policies
• Support COI handling, third-party due diligence, and internal compliance workflows (intake, tracking, documentation)
• Help identify training needs across the organization and support development and delivery of compliance training and awareness initiatives
• Contribute to process improvement and automation initiatives, making compliance processes more efficient and scalable
• Support the development of compliance playbooks and practical guidance materials (e.g. for third-party onboarding, events, sponsorships, COI handling)
• Support monitoring and testing of compliance controls, including preparation for internal reviews or audits
• Assist with compliance reporting, including preparation of materials for management and Board-level reporting
• Collaborate with cross-functional teams (Legal, HR, Procurement, Sales) on compliance-related topics
• Promote a strong culture of ethics and integrity, supporting transparent communication and ethical decision-making across the business

We expect you to have: 

• Degree in business, law or a relevant compliance field
• Minimum of 4 experience in compliance roles
• Experience working within a corporate compliance program
• Good understanding of core compliance topics (e.g. COI, ABAC, third-party risk, sanctions basics)
• Strong organizational and analytical skills
• Hands-on and proactive, Interested in building and improving processes,
• Structured and detail-oriented, but pragmatic
• Strong communication skills and ability to work cross-functionally

It will be an added bonus if you have: 

• Experience with compliance tools or workflow systems
• Exposure to automation or process improvement initiatives
• Experience in a fast-paced, international / listed, or tech environment

The role

The Compute Node team builds services for managing Virtual Machines running on GPU servers, integrating with disk management, virtual and InfiniBand networks. The team is also responsible for developing the Virtual Machine Scheduler that operates across clusters with thousands of servers and tens of thousands of GPUs, spanning multiple data centers in several regions.

We expect you to have: 

1. Containerization & Orchestration

• Experience with Kubernetes not only for deployment but for development is highly valued.

2. Virtualization

• KubeVirt and QEMU/KVM familiarity is a high plus.

3. Linux & System-level Understanding

• Solid knowledge of internal OS architecture, performance considerations, process isolation and resource management.

• Knowledge of POSIX, sysfs, system calls, and file systems.

• Familiarity with server architecture, PCIe devices, NICs, and kernel drivers.

4. Hardware Acceleration

• Experience or strong interest in working with GPUs, DPUs, or ARM architectures is desirable.

• Familiarity with the NVIDIA DOCA Software Framework will be an advantage.

5. Go, C++ Proficiency

• Knowledge of at least one of these languages, ready to learn or work with the others as needed.

• Strong grasp of concurrency, debugging, and profiling techniques.

We conduct coding interviews as part of the process.

Responsibilities:

• Design and develop mechanical components and assemblies for server and racks hardware
• Create 3D models, detailed drawings, and specifications using CAD tools
• Collaborate with electrical, systems, and manufacturing engineers for product integration (placement of PCBs, power supplies, cooling systems) 
• Perform thermal and structural analysis to ensure system performance and reliability (if required) 
• Support prototyping, testing, and validation of designs 
• Work with suppliers and manufacturing partners to ensure design for manufacturability (DFM) and cost efficiency 
• Identify and resolve design issues throughout the product lifecycle 

Requirements:

• Bachelor’s or Master’s degree in Mechanical Engineering or related field 
• 3+ years of experience in mechanical design, preferably in electronics or server hardware 
• Proficiency with CAD software (e.g., SolidWorks, Creo, or similar) 
• Strong understanding of thermal management, materials, and manufacturing processes 
• Experience with sheet metal design, plastics, and/or machining 
• Knowledge of data center or server systems is a plus 
• Strong problem-solving skills and attention to details 
• Ability to work effectively in a cross-functional team environment

Nice to have:

• Direct experience designing server, storage, or networking hardware 
• Expertise in thermal design, including airflow optimization, heat sink design, and liquid cooling systems
• Familiarity with data center standards and ecosystems (e.g., rack layouts, cable management, serviceability requirements)
• Experience with simulation tools (CFD/FEA) 
• Familiarity with materials selection for performance, cost, and sustainability considerations 
• Experience with rapid prototyping techniques (3D printing, CNC, sheet metal fabrication)

The role

This role is for Nebius AI R&D, a team focused on applied research in AI. Examples of applied research that we have recently published include:

• applying reinforcement learning for agent training in long-context multi-turn scenarios
• dramatically scaling task data collection to power reinforcement learning for SWE agents
• building a decontaminated evaluation for SWE agents that is regularly updated
• investigating how test-time guided search can be used to build more powerful agents

The results often lead to collaboration with adjacent teams where our research findings are applied in practice.

We are currently looking for senior- and staff-level ML engineers to work on research in areas such as:

• Guided search and reinforcement learning for agentic systems
• Reinforcement learning for reasoning models
• Web-scale problem collection for training agents
• Efficient model distillation

Some examples of what your responsibilities might include are:

• Conducting experiments to figure out efficient ways to train a large language model on traces of interactions with various environments
• Exploring methods of guided generation and search in the trajectory space
• Coming up with ways to mine relevant data at web scale and figuring out efficient ways to use this data in model post-training
• Conducting experiments with different reinforcement learning configurations in verifiable domains
• Exploring methods to train AI agents on tasks with non-verifiable reward signals

We expect you to have:

• A profound understanding of theoretical foundations of machine learning and reinforcement learning
• Deep expertise in modern deep learning for language processing and generation
• Substantial experience with training large models on multiple computational nodes
• Strong software engineering skills (we mostly use python)
• Deep experience with modern deep learning frameworks (we use jax)
• Strong communication and leadership abilities
• Experience designing, executing, and analyzing machine learning experiments with proper statistical rigor
• Ability to formulate research questions, design experiments to test hypotheses, and draw meaningful conclusions from results
• Ability to document research findings clearly and contribute to technical publications or report

Nice to have:

• Experience with deep reinforcement learning for LLMs, including techniques such as reward modeling, DPO, PPO etc
• Familiarity with important ideas in LLM space, such as RoPE, ZeRO/FSDP, Flash Attention, quantization
• Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field Master’s or PhD preferred
• Track record of building and delivering products (not necessarily ML-related) in a dynamic startup-like environment
• Experience in engineering complex systems, such as large distributed data processing systems or high-load web services
• Open-source projects that showcase your engineering prowess
• Excellent command of the English language, alongside superior writing, articulation, and communication skills
• Proficiency in contemporary software engineering approaches, including CI/CD, version control and unit testing

The role

In a rapidly evolving world, trust in AI depends on AI agents being grounded in fresh, verified real-world data. Search is the foundation that makes this possible. In this role, you will define what quality means for a search system built for AI agents from day one.

In this position, your responsibility will be to

• Own search-related quality metrics end-to-end: from definition and computation to evolution and transition to next-generation metrics.
• Design and reason about analytics architecture across the full stack: runtime behaviour → data pipelines → metrics → dashboards.
• Develop and maintain analytics pipelines and tooling using Python.
• Translate product, user, and technical requirements into meaningful, actionable metrics.
• Challenge existing assumptions about quality and push for better, more reliable measurement.
• Work closely with product managers, engineers, and stakeholders to align analytics with system behavior and business goals.
• Debug metric anomalies, investigate quality regressions, and propose data-driven improvements.

We expect you to have

• Senior-level experience solving search or search-adjacent analytical problems.
• Strong exposure to quality metrics in at least one of the following areas:
  • search relevance (web, geo, product, offers),
  • ranking and freshness,
  • ads quality or feed ranking.
• Ability to think end-to-end across users, products, and technology, not just individual metrics.
• Solid foundation in mathematical statistics.
• Strong Python skills and a hands-on engineering mindset.
• Experience operating in ambiguous environments and driving solutions independently.
• Clear analytical judgment: understanding why a metric exists, how it evolves, and when it should be retired.
• Strong communication skills and the ability to align product, engineering, and client perspectives.

The Role

The Sales Compensation & Incentive Programs Manager is responsible for designing, governing, and operationalizing compensation programs for Sales, Business Development, and Partnerships teams.
This role ensures that incentive structures align pay with performance, support revenue growth, and scale with company strategy. The role collaborates closely with Sales leadership, Finance, C&B, Analytics, and Operations to ensure accurate KPI measurement, bonus calculation, and compensation governance.
The role also oversees revenue tracking methodologies, KPI dashboards, and debt collection governance processes to ensure transparency, compliance, and operational efficiency.

Key Responsibilities

Sales Compensation Governance

• Design and maintain incentive plans for Sales, Business Development, and Partnerships teams.
• Ensure alignment between compensation plans and company revenue strategy.
• Maintain governance of compensation structures and policies.

Bonus Calculation & Revenue Attribution

• Manage quarterly bonus calculation processes.
• Maintain calculation methodology for Booking revenue and KPI inputs.
• Coordinate cross-functional validation with Finance, C&B, and Sales leadership.
• Manage exception approvals and bonus validation.

KPI Framework & Target Setting

• Develop KPI structures for Sales teams and startup teams.
• Build methodologies for setting sales targets by role.
• Partner with Analytics teams to build dashboards measuring KPI attainment.

Incentive Plan Communication

• Create compensation one-pagers for sales employees.
• Ensure all sales employees understand their compensation structure.
• Maintain documentation in HR systems (HiBob).

Sales Policy Governance

• Develop and maintain incentive policy documentation.
• Manage updates to compensation policies and new hire incentive plans.

Revenue Operations Process Improvements

• Implement revenue tracking methods using dashboards and contract validation.
• Maintain master files for KPI tracking and bonus calculations.

Debt Collection Governance

• Oversee the debt collection monitoring process across Ops, Sales, Finance, and Accounting.
• Ensure compliance with SOX requirements.
• Implement processes to reduce outstanding customer debts.

Sales Enablement & Documentation

• Maintain Sales Excellence knowledge portal.
• Support onboarding of Sales Enablement resources.
• Ensure a single source of truth for sales compensation documentation.

Key Qualifications & Experience

• 5+ years in Sales Operations, Revenue Operations, or Compensation & Benefits
• Experience managing sales incentive programs
• Strong financial modeling and bonus calculation skills
• Experience working with sales KPI frameworks
• Advanced Excel / analytics tools
• Experience collaborating with Finance, Sales leadership, HR, and Analytics

Preferred

• Experience designing sales compensation plans
• Experience working with CRM and BI dashboards
• Experience implementing SOX compliant processes
• Experience in high-growth tech or SaaS companies

Role Overview

The Corporate Development Manager – Capital Markets plays a central role in shaping and executing Nebius’s capital formation strategy across debt, equity-linked, asset-backed, and structured capital solutions. This role is responsible for supporting the company’s rapid expansion through financing strategy, transaction execution, and capital structure analysis.

The position requires strong technical expertise in capital markets, sound commercial judgment, and the ability to work effectively with senior internal stakeholders and external financing counterparties. The role will work closely with leadership as well as cross-functional teams including Legal, Finance, Treasury, Operations, and Infrastructure. Depending on business priorities, the role may also support selective M&A and strategic investment activity.

Key Responsibilities

• Manage end-to-end execution of financing transactions across debt, equity-linked, asset-backed, and structured capital solutions.
• Support the development of Nebius’s capital structure strategy, including assessment of trade-offs across cost of capital, maturity profile, flexibility, and dilution.
• Build and maintain detailed financial models to evaluate leverage capacity, scenario outcomes, and financing alternatives.
• Prepare high-quality board-level materials, financing proposals, and investment memoranda.
• Lead cross-functional execution workstreams for complex financing transactions, coordinating internal stakeholders and external advisors.
• Act as a key point of contact with financing counterparties and other external stakeholders during transaction processes.
• Provide analytical support on broader corporate development initiatives, including selective M&A and strategic investment opportunities where relevant.
• Mentor and support the development of junior members of the Corporate Development team.
• Contribute to improving internal decision-making through clear analysis, strong commercial insight, and disciplined execution.

Key Qualifications & Experience

• 7–10 years of relevant experience in investment banking, including DCM, ECM, Leveraged Finance, Structured Finance, or private credit.
• Proven track record of independently leading financing transactions from structuring through closing.
• Strong experience across both US and European capital markets.
• Deep expertise across debt, equity-linked, asset-backed, and structured capital products.
• Advanced financial modelling skills, including capital structure analysis, leverage assessment, and multi-scenario stress testing.
• Strong ability to prepare clear and credible materials for senior leadership and board-level audiences.
• Experience managing multiple high-priority workstreams in fast-paced, international environments.
• Strong stakeholder management skills and confidence in engaging with internal leadership and external financing partners.
• High level of ownership, judgment, and ability to operate effectively in ambiguity.

Preferred qualifications:

• Experience in AI, high-growth technology, or digital infrastructure sectors.
• Exposure to M&A processes and transaction evaluation.
• Understanding of post-deal integration considerations and broader corporate development activity.
• Prior experience mentoring or developing junior team members.

Competencies & Behavioural Traits

• Strong analytical capability with a high level of financial and commercial rigor.
• Excellent judgment and decision-making in complex, high-stakes situations.
• High ownership mindset and ability to drive work-streams independently.
• Strong communication skills, including the ability to influence senior stakeholders and present complex topics clearly.
• Ability to collaborate effectively across functions, teams, and geographies.
• Resilience and effectiveness in fast-paced, high-growth environments.
• Structured problem-solving and ability to balance detail with strategic perspective.
• Professional credibility and maturity when representing the company externally.