Nebius

About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Nebius is looking for a Lead Detection Engineer.This is an individual contributor role with full technical ownership. You'll set the direction for detection engineering: the standards, the tooling, the coverage strategy, and the automation that operationalizes it all. You'll work closely with SOC analysts and Platform Engineering to make detection a first-class engineering discipline. You’re welcome to work in our offices in Tel Aviv, Israel Your responsibilities will include: • Detection coverage strategy across endpoint, identity, cloud, and infrastructure — how it's measured, prioritized, and continuously improved. • Detection-as-Code pipeline: version control, testing, peer review, CI/CD, and deployment practices for all detection logic. • Architecture connecting detections to enrichment, triage, and automated response workflows. • Technical standards for how detections are designed, tested, documented, deployed, and retired. • Detection quality: fidelity metrics, false positive reduction, coverage measurement, and continuous validation loops. • Design and build high-fidelity behavioral detections across SIEM and EDR platforms. • Research emerging attacker techniques and translate threat intelligence into scalable, evasion-resistant detections. • Validate detections through threat simulations and continuous detection testing. • Partner with SOC analysts to close the feedback loop between detections and real investigations. • Define and track detection engineering metrics; communicate coverage posture and effectiveness to security leadership. • Make architectural decisions that scale as the team and organization grow. We expect you to have: • Minimum 3 years in detection engineering, security operations, or a hybrid offensive/defensive role — with demonstrated depth, not just breadth. • Experience owning or leading detection engineering work as a senior technical contributor • Strong understanding of attacker tradecraft and adversary behavior. • Hands-on experience with at least one enterprise SIEM and EDR platform — Splunk, Microsoft Sentinel, CrowdStrike, or equivalent. • Cloud security depth across Azure, AWS, or GCP. • Strong query development skills in SPL, KQL, Sigma, or similar. • Strong scripting skills (python, powershell etc) • Solid engineering practices: Git, CI/CD, code review, Detection-as-Code workflows. • Experience using MITRE ATT&CK to design, validate, and measure detection coverage   • Ability to make and defend technical decisions and establish standards others adopt. It will be an added bonus if you have: • Offensive security background or certifications. • Experience with threat hunting and detection validation frameworks. • Experience designing SOAR playbooks and automated response workflows. • Experience building AI-assisted detection, investigation, or triage workflows. Benefits & Perks: • Competitive compensation • Career growth and learning opportunities • Flexibility and ownership • Collaborative and innovative culture • Opportunity to work on impactful AI projects • International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Nebius is looking for an experienced Security Architect to join the Cyber Security organization, reporting to the Security Architect Manager. This role focuses on designing and implementing secure architectures across corporate networks and cloud environments. You will play a key role in defining secure solutions, reviewing system designs, and ensuring security is embedded across enterprise infrastructure. The ideal candidate brings strong hands-on expertise in network and cloud security, along with the ability to work closely with IT, Infrastructure, DevOps, and Engineering teams to drive secure and scalable implementations. You’re welcome to work in our offices in Amsterdam. Your responsibilities will include: • Design and implement secure architectures across corporate networks, cloud platforms, and hybrid environments. • Define and maintain security standards, guidelines, and reference architectures aligned with organizational requirements. • Review and approve architecture and design of new systems, infrastructure, and network changes. • Design and support secure enterprise network architectures, including segmentation, Zero Trust, and remote access solutions. • Define and implement controls for firewalls, ZTNA, proxies, and network access control (NAC). • Design secure cloud architectures including IAM, networking, and workload protection. • Ensure proper implementation of cloud security controls such as segmentation, encryption, and monitoring. • Define and support identity and access management controls, including SSO, MFA, and privileged access. • Contribute to endpoint security architecture, including EDR/XDR and device hardening standards. • Identify security risks and architectural gaps and recommend mitigation strategies. • Participate in architecture reviews, risk assessments, and security design discussions. • Collaborate with SOC, Vulnerability Management, IT, and Engineering teams to improve overall security posture. • Support implementation of security architecture initiatives and improvements across the organization. We expect you to have: • 5+ years of experience in cyber security, with a focus on cloud security, networks, and/or SDLC • Experience working with cloud platforms (AWS, GCP, Azure) and cloud security best practices. • Strong hands-on experience in enterprise network security (firewalls, segmentation, VPN, proxies, NAC, etc.). • Solid understanding of identity and access management (IAM), Active Directory / Entra ID, and access control models. • Experience working in hybrid environments (on-premise + cloud). • Strong understanding of security architecture principles and risk-based design. • Experience working cross-functionally with IT, Infrastructure, DevOps, and Engineering teams. • Strong analytical and problem-solving skills. It will be an added bonus if you have: • Experience with Zero Trust architecture and network segmentation strategies. • Familiarity with cloud security tools (e.g., Wiz). • Experience with enterprise identity platforms (Entra ID / Azure AD, Okta, etc.). • Knowledge of regulatory and compliance frameworks (ISO 27001, SOC 2, NIST, etc.). • Experience in SaaS, cloud-native, or enterprise-scale environments. • Relevant certifications such as CISSP, CCSP, or equivalent. • BSc in Computer Science, Information Security, or a related field. Benefits & Perks: • Competitive compensation • Career growth and learning opportunities • Flexibility and ownership • Collaborative and innovative culture • Opportunity to work on impactful AI projects • International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. 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 an experienced Partner Solutions Architect with a proven track record of enabling both value-added resellers (VARs) and technology partners. You will help partners build differentiated offerings on Nebius, enable Channel joint value propositions and take those solutions to market. You will own the technical partner relationship, connecting partner sales, presales, product and engineering teams with their counterparts at Nebius. Combining cloud architecture expertise with commercial judgment, you will help partners win customers and grow adoption through repeatable solutions and effective enablement. You’re welcome to work from our office in Amsterdam or remotely from any EU country. Your responsibilities: • Develop joint value propositions that combine Nebius with partner products or services, defining target customers, priority use cases, technical differentiation and business outcomes. • Work with Channel and Nebius sales and marketing teams on joint go-to-market plans, account opportunities, co-selling activities, solution messaging and customer presentations. • Lead joint customer discovery and solution discussions. Agree proof-of-concept success criteria and coordinate partner and Nebius specialists through technical validation and deployment planning. • Enable VAR partners to qualify opportunities, position Nebius, design customer solutions and package their implementation or managed services around our platform. • Help technology partners, including software vendors and data or AI platforms, define joint solutions, integration priorities and validation plans with their product and engineering teams. • Build lasting relationships with partner engineering teams. Translate requirements and customer feedback into actionable plans, coordinate experts and influence product priorities. • Track partner readiness, joint solution adoption and contributions to pipeline and customer wins. Use these results to improve enablement and scale successful partner activities. What you bring • 5+ years in solutions architecture, technical presales or partner technical roles, with substantial experience supporting Channel and Technology partnerships. • Demonstrated success enabling both VARs and technology partners, including examples of partners independently positioning solutions, pursuing opportunities or delivering joint offerings. • Experience building joint value propositions and taking partner solutions to market, with evidence of customer wins, adoption growth or commercial impact. • A track record of building partner enablement programs and adapting content for sales, presales and engineering audiences. • Strong cloud architecture fundamentals across compute, storage, networking and security, with the ability to explain trade-offs and connect technical decisions to customer needs. • Experience earning trust with partner engineering and product teams, working effectively with internal engineers and coordinating delivery across organizations without direct authority. • Clear communication with engineers and business leaders, sound commercial judgment and an understanding of how resellers and technology partners make money. • A relevant degree or equivalent professional experience, plus curiosity about AI infrastructure and the ability to learn new platforms quickly. Added bonuses The following experience would be valuable but is not required for the role: • Hands-on Kubernetes and container platform experience, including deployment automation with tools such as Terraform. • Experience with GPU-based workloads, HPC or distributed AI/ML workloads, including training, fine-tuning, inference or MLOps. • Practical integration development using APIs, Python or infrastructure as code, or experience building reference implementations and technical demonstrations. • Familiarity with AI software ecosystems or partner solutions built around major cloud and data platforms. I-PL1 Benefits & Perks: • Competitive compensation • Career growth and learning opportunities • Flexibility and ownership • Collaborative and innovative culture • Opportunity to work on impactful AI projects • International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role We are looking for a skilled Lead Security Automation Engineer to join our SOC Automation team and play a key role in building and scaling automation across Security Operations. This is a hands-on role — you will design, develop, and integrate automation solutions across SIEM, EDR, and other security platforms, contributing to our SOAR capabilities from the ground up. You will work in a technologically rich environment, integrating with a wide range of security and infrastructure systems across the network — a unique opportunity to build automation at scale in a greenfield setting, with real influence over the architecture and tooling decisions. We are especially interested in candidates who are curious about leveraging AI and intelligent agents to help evolve next-generation automation and response workflows — and who want to be a driving voice in how we apply those technologies. Your responsibilities will include: Automation development • Design and develop automation workflows for incident response and SOC operations • Identify and eliminate manual processes through scalable automation • Build reusable components and maintainable automation patterns Engineering & integration • Develop integrations using REST APIs, webhooks, and event-driven architectures • Write high-quality, maintainable Python for automation and orchestration • Implement data parsing, enrichment, and transformation across multiple systems SOAR & platform buildout • Lead or actively contribute to the evaluation, selection, and implementation of SOAR/automation platforms • Design the automation architecture and integration strategy for the team • Build automation capabilities in a greenfield environment — your decisions will shape the foundation SOC collaboration • Work closely with SOC analysts and incident responders to translate operational needs into automation solutions • Improve end-to-end detection and response workflows through close partnership with the team AI & innovation • Actively build and evaluate AI/LLM and agent-based workflows applied to security automation • Prototype AI-assisted enrichment, triage, and response solutions and drive them toward production We expect you to have: • Minimum 3 years of hands-on experience with SOAR platforms (e.g., Torq, Cortex XSOAR, Splunk SOAR, or similar) • Strong hands-on experience with Python (or a comparable language) • Experience designing or implementing automation frameworks or workflows • Experience building integrations using REST APIs and web services • Experience working with security tools such as SIEM, EDR/XDR, or ticketing systems • Experience with at least one cloud platform (Azure, AWS, or GCP) • Solid understanding of incident response processes and SOC alert-handling workflows • Experience with at least one SIEM platform (Splunk,Sentinel,Qradar,Crowdstrike) It will be an added bonus if you have: • Experience with CI/CD pipelines and DevOps practices • Familiarity with cloud-native services and architecture • Hands-on exposure to AI/ML, LLMs, or agent-based systems • Has a strong hands-on engineering mindset — you build, not just advise • Is proactive, solution-oriented, and detail-focused • Is genuinely curious about AI and intelligent agents, not just aware of them • Collaborates well with both technical and operational teammates Benefits & Perks: • Competitive compensation • Career growth and learning opportunities • Flexibility and ownership • Collaborative and innovative culture • Opportunity to work on impactful AI projects • International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role This position sits within Nebius Token Factory, our serverless platform for running and customizing open-source LLMs in production. Token Factory allows for serverless inference and fine-tuning backed by in-house optimizations like custom speculative decoding, quantization, cache-aware routing and dedicated endpoints. Customers come to us to move from prototype to scaled production without the cost and complexity of building and tuning their own inference stack. Our Solutions Architects own the technical delivery of customer engagements: deploying open-source models, tuning the serving stack, benchmarking against the customer's success criteria, and carrying the technical relationship through to production. Sales Engineers qualify and scope the opportunity; SAs execute it. Technical Account Managers take it from production onward. We're looking for a Manager, ML Solutions Architecture to lead our EU regional SA teams. Your scope is PoC delivery and post-sales technical support: the people who do it, the standard they do it to, and the operating cadence that keeps it predictable. You will report to the Head of Solutions Architecture and partner with a peer manager in the other region. We expect you to push people when they need pushing, make the uncomfortable call when deliverables don't land even though the effort was real, and take ownership of the documentation work: implement and monitor the following of the guidelines, ticket hygiene, and making sure the team actually uses all three. You're welcome to work remotely from any EU country. Your responsibilities will include: Lead the team • Manage a team of 8 Solutions Architects, with continued growth planned: 1:1s, goal setting, performance reviews, promotion cases, and individual growth plans • Build an accurate picture of each SA's strengths, gaps, and preferences, and allocate accounts and engagements against both expertise and interest • Run the cadence that surfaces blockers early, then take them to the development, product, and business teams that can clear them, and stay on them until they do • Hold people to outcomes: distinguish effort from delivered results, say so plainly when the two diverge, and reflect it in ratings and compensation decisions • Onboard new joiners through to their first independently delivered engagement • Coach SAs into stronger engineers and stronger communicators, and make deliberate calls about who is ready for more scope Own delivery • Be accountable for your team's delivery outcomes: time from PoC kick-off to first optimized dedicated endpoint, success-criteria hit rate, and the quality of the technical relationship after the customer goes to production • Review technical work before it reaches the customer: benchmarking methodology, serving configurations, results, closure documents; catch the wrong conclusion drawn from a metrics artifact before a customer sees it • Ensure staffing and escalation coverage across accounts and timezones, including post-sales request load that does not respect sprint boundaries • Call infeasibility early and with evidence, rather than letting the team burn iterations against requirements the platform cannot meet today Own the operating system of the team • Maintain and extend the team's documentation: responsibilities, runbooks, guides, onboarding, definitions of done, engagement closure templates. Keep it accurate and reachable; link, don't copy • Get it used, not just written: documentation nobody reads is a cost, not an asset • Keep the ticket tracker the system of record, so PoC and production status is readable without asking anyone • Instrument the work: define and report the metrics that show whether delivery is getting faster and more reliable over time Work across teams • Development and research teams: convert recurring customer pain into prioritized platform work, and represent the customer's technical reality in roadmap discussions • Pre-sales: hold the scoping-to-execution boundary: push back on under-scoped engagements, and feed feasibility signal back upstream • Account management: make production handoffs uneventful, and keep post-sales technical requests moving • Business and leadership: give a straight read on account health, technical feasibility, and capacity needs We expect you to have: • 3+ years managing technical teams, including performance management and difficult conversations • Experience managing a customer-facing team. Running a team whose work is visible to customers, on customer timelines, with customer escalations. • Strong ML knowledge: LLM architectures, fine-tuning approaches (SFT/LoRA, RL-based), evaluation design, and a working command of inference internals — quantization, KV-cache management, batching, routing, speculative decoding — and of the frameworks the team works in (vLLM, SGLang, TensorRT-LLM) • Enough technical judgment to review someone else's benchmark and find the flaw in the methodology, not just in the conclusion • Python strong enough to read and review your team's code • Excellent communication skills, with the ability to clearly explain technical concepts to diverse audiences, from engineers to executives, including in front of enterprise customers under pressure • Genuine tolerance for operational work: documentation, process design, reporting, and the follow-through that makes them stick • Comfort operating with ambiguity across distributed teams and timezones, and a bias toward writing things down It would be an added bonus if you have: • References from both former managers and former direct reports • Experience scaling a team through rapid growth (5 → 15+) without losing delivery quality • Prior experience in a customer-facing technical function at a cloud, inference, or AI infrastructure provider • Experience defining process and documentation for a team that had none • Hands-on background running LLMs in production and debugging inference workloads at the framework level • Work with multimodal AI models (vision-language, speech) • Proficiency with DevOps tooling (Docker, Kubernetes) and infrastructure-as-code Preferred technical stack: • Programming languages: Python • ML frameworks and libraries: vLLM, TensorRT-LLM, SGLang, Transformers, OpenAI/Anthropic SDKs • MLOps and DevOps tools: Kubernetes (K8s), Docker, Git • Cloud platforms: AWS (SageMaker, Bedrock), GCP (Vertex AI), Azure (Azure ML) Benefits & Perks: • Competitive compensation • Career growth and learning opportunities • Flexibility and ownership • Collaborative and innovative culture • Opportunity to work on impactful AI projects • International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. About the role You own the company's identity provider: who signs in, from where, with which factors, into which applications — and how that access is granted, reviewed, and revoked. Microsoft Entra ID is the primary identity plane and the center of gravity for the role. Google Workspace, Cloud Identity, and Google Cloud IAM form a secondary domain. Microsoft 365 is in scope for tenant, licensing, and access administration. You are the escalation point for identity incidents from operations, security, service desk, and application teams — expected to resolve them, not route them onward. What you'll own Microsoft Entra ID and Microsoft 365 – Users, dynamic and assigned groups, administrative units, directory roles, service principals, workload identities. – Conditional Access design and rollout: named locations, client app and platform conditions, session controls, sign-in frequency, break-glass exclusions, report-only staging. – Authentication methods policy and phishing-resistant factors. – Application onboarding over SAML 2.0 (NameID, claims mapping, signing certificate rollover, encrypted assertions) and OIDC / OAuth 2.0 (authorization code with PKCE, client credentials, device code). – App registrations: redirect URIs, permissions, admin consent workflow, secret and certificate lifecycle. – SCIM 2.0 provisioning: attribute mappings, scoping filters, expression transformations, quarantined jobs, drift reconciliation. – Tenant consent settings, OAuth grant review, remediation of over-permissioned and stale applications; defensible controls for SaaS without SSO or SCIM support. – Joiner-mover-leaver as an automated pipeline: provisioning, group-based licensing, revocation with session and refresh token invalidation. – Least privilege for admin access: scoped role assignments, RBAC, PIM, access reviews, entitlement management access packages. – Service account and workload identity governance: ownership, credential rotation, permission scoping, decommissioning. – Microsoft 365 tenant settings, licensing, admin roles; access and permission issues in Exchange Online, SharePoint Online, Power Platform. – Diagnostics from sign-in, audit, and provisioning logs, with diagnostic settings routed to Log Analytics and KQL queries. – Cross-tenant access settings and B2B external collaboration. Automation – PowerShell tooling on the Microsoft Graph PowerShell SDK and Graph REST API: lifecycle, licensing, access reporting, recertification. – Google-side automation through the Admin SDK Directory API, Cloud Identity API, and gcloud. – Scheduled and event-driven workflows in Azure Automation Runbooks, Azure Logic Apps, or Power Automate. – Unattended execution on managed identities and narrowly scoped app registrations, with credential rotation, structured logging, error handling, and retries. – Automation treated as production code: version control, peer review, documented rollback. What you'll bring We care about what you can do, not which products appear on your CV. Concretely, you can: – Decode a SAML assertion or JWT and pinpoint the failure — audience mismatch, NameID format, expired signing certificate, missing claim — without escalating to the vendor. – Diagnose a failing SCIM job and tell scoping from attribute mapping, transformation expressions, or target schema. – Replace a manual lifecycle process with automation that logs, retries, and can be handed to someone else to run. Experience we expect – 3+ years administering Microsoft Entra ID in production as a primary responsibility. – Microsoft 365 tenant: settings, licensing, admin roles, Service Health – Exchange Online: mailbox permissions, groups, mail flow, SPF/DKIM/DMARC – Microsoft Defender: threat policies, quarantine, message trace – Power Platform: environments, DLP connector policies, maker access – PowerShell: Exchange Online module, Microsoft Graph SDK – Enterprise applications, app registrations, consent and permission models, automated provisioning. – Azure Automation Runbooks, Azure Logic Apps, Power Automate, or comparable platforms. – Least privilege, secure administration, change management, and the discipline to leave configurations documented. – Written and spoken English at B2 or higher. Nice to haves – SC-300, MS-102, or SC-401 — or equivalent demonstrable expertise. – Microsoft Entra ID Governance: entitlement management, lifecycle workflows, Privileged Identity Management. – Microsoft Purview (DLP, retention, eDiscovery), Microsoft Defender for Cloud Apps, or Microsoft Sentinel. – Google Cloud IAM: projects, roles and policies, service accounts, API access, OAuth credentials. – Google Cloud workload identity federation, custom roles, organization policy constraints. – Git, CI/CD practices, Pester, Bicep, or Terraform. – Access evidence for SOC 2, ISO 27001, or comparable audit cycles. #LI-RK1 Benefits & Perks: • Competitive compensation • Career growth and learning opportunities • Flexibility and ownership • Collaborative and innovative culture • Opportunity to work on impactful AI projects • International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role: We are looking for a Group Product Manager to lead Platform Experience within Nebius AI Cloud. Platform Experience is the unified customer and developer experience across the platform. The group is responsible for reducing time-to-first-value, creating a predictable path from PoC to production, and ensuring that Nebius feels like one consistent platform across APIs, developer tools, documentation, AI assistance, notifications, quotas, and the resource model. You will lead a team of Product Managers, set the direction across several connected product areas, and align their roadmaps around shared customer and business outcomes. You will work closely with Engineering, Customer Experience, GTM, and product teams across Nebius. Your responsibilities will include • Define the vision, product strategy, success metrics, and investment priorities for Platform Experience. • Lead and grow a team of Product Managers, establishing clear ownership and strong product practices across the group. • Create a consistent, API-first and agentic-first developer experience across CLI, Terraform, SDKs, public APIs, documentation, and Nebius Echo. • Reduce time-to-first-value and make the path from PoC to production predictable through clear end-to-end journeys, actionable errors, and effective guidance. • Lead the evolution of capacity and quota management and the resource model required for enterprise, partner, multi-region, and multi-tenant use cases. • Build a unified approach to customer-facing notifications and communications, including maintenance, incidents, and multi-product events. We expect you to have • 7+ years of Product Management experience, including experience leading and developing Product Managers. • Experience owning a portfolio or product group spanning multiple technically complex products and teams. • A strong background in cloud infrastructure, developer platforms, enterprise SaaS, or another technical B2B domain. • Enough technical depth to work with engineering leaders on APIs, developer tooling, resource models, multi-tenancy, and distributed platform systems. • Strong product strategy, customer discovery, analytical, and executive stakeholder management skills. It will be an added bonus if you have • Experience with public APIs, infrastructure-as-code tools, developer documentation, or AI-assisted developer experiences. • Familiarity with GPU infrastructure, AI/ML workloads, or capacity-constrained cloud products. Benefits & Perks: • Competitive compensation • Career growth and learning opportunities • Flexibility and ownership • Collaborative and innovative culture • Opportunity to work on impactful AI projects • International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. About The Role: The Operations Specialist is responsible for coordinating and managing end-to-end expense, payment, and documentation processes to ensure timely, accurate, and compliant processing of company purchases. This role acts as a key operational partner across finance, procurement, legal, compliance, accounting, treasury, and logistics teams. The position requires strong attention to detail, the ability to work independently within established frameworks, and a proactive approach to improving operational workflows. ______________________________________________________________________________ Key Responsibilities • Support procurement-related processes, including purchase requests, purchase orders, vendor onboarding, and coordination between requestors, procurement, finance, and suppliers. • Take responsibility for document management involving internal teams and external contractors, ensuring accurate creation, version control, and secure storage • Coordinate agreements, reconciliations, reports, and other operational documents for internal and external counterparties • Process reports and verify that they are complete, accurate, and correctly formatted according to internal standards • Work closely with Accounts Payable teams to support transaction processing and resolve discrepancies • Interact with cross-functional teams, including Legal and Accounting, to address operational issues and ensure smooth workflows • Advise internal stakeholders on transaction processing requirements, documentation standards, and operational procedures • Participate in special projects and cross-functional initiatives as required Key Qualifications & Experience Must-have requirements: • 1-2 years of experience in procurement operations, purchasing administration, finance operations, or a related operational role, with understanding of end-to-end procurement and purchase-to-pay (P2P) processes. • Experience with document management and operational workflows involving internal teams and external counterparties • Working knowledge of accounts payable processes • Ability to review, and maintain agreements and supporting documentation • Experience collaborating with cross-functional teams such as Legal, Accounting, and Finance • Strong attention to detail and ability to ensure accuracy and consistency in documentation and reporting • Ability to manage multiple tasks and priorities within established procedures • Clear written and verbal communication skills • Experience with ERP, finance, or document management systems • Fluent English Preferred qualifications: • Strong Excel or spreadsheet-based tracking and reporting skills • Experience participating in process improvement or special projects Competencies & Behavioral Traits • Structured, organized and detail-oriented • Strong sense of ownership for assigned processes • Comfortable coordinating across teams and priorities • Process-improvement mindset within defined frameworks • Proactive, solution-oriented approach to operational issues • Ability to understand operational and financial processes, identify gaps, and proactively follow through to completion • Self-driven and accountable, with the ability to prioritize tasks and manage competing priorities effectively Benefits & Perks: • Competitive compensation • Career growth and learning opportunities • Flexibility and ownership • Collaborative and innovative culture • Opportunity to work on impactful AI projects • International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role We seek an experienced Senior Program Manager join the Strategic Initiatives team. In this role, you will be collaborating with various departments including, product, engineering, legal andfinance, leading technical product programs for the business. Your responsibilities will include: • Own initiatives end-to-end, including scope, sequencing, dependency tracking and decision unblocking. • Partner with product, engineering, legal, finance/SOX, sales, marketing and operations to deliver strategic initiatives. • Proactively identify, communicate and escalate cross-functional risks before they affect delivery or launch. • Create and maintain core planning documents, including PRDs, rollback plans, launch communications, risk logs and analytics. • Lead stakeholder communications, including regular updates, field-team enablement, support training, marketing coordination and supporting materials. • Report progress, risks, dependencies and blockers to initiative sponsors and the Strategic Initiatives Lead. We expect you to have: • Strong experience in programme management, technical product management or a similar cross-functional delivery role. • A proven track record of owning complex launches involving coordination across multiple teams. • A hands-on approach, with the ability to organise, manage and deliver the work rather than only track progress. • The ability to make sound decisions with incomplete information, resolve ambiguity and drive decisions through to completion. • Experience working in cloud infrastructure, billing or another regulated commercial environment. Benefits & Perks: • Competitive compensation • Career growth and learning opportunities • Flexibility and ownership • Collaborative and innovative culture • Opportunity to work on impactful AI projects • International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role We’re looking for a Senior Backend Software Engineer to help develop our hyperscaling platform. We have a lot of tasks on Golang and little less on Java and Python. You're welcome to work from our offices in Prague, Amsterdam, London, Tel Aviv or Berlin— hybrid or remotely. In this position, your responsibility will be to: Developing fault-tolerant, reliable cloud services: cloud infrastructure, managed databases, managed Kubernetes, billing, monitoring systems, ML service and more. We expect you to have: • 5+ years of professional software engineering experience • Excellent knowledge of Golang or you are ready to quickly switch to this programming language • Ability to write reliable code and dig into complex problems • Teamwork-oriented approach It would be an added bonus if you had: • Experience designing high-load and scaling services We conduct coding interviews as part of the process. #LI-ET2 Benefits & Perks: • Competitive compensation • Career growth and learning opportunities • Flexibility and ownership • Collaborative and innovative culture • Opportunity to work on impactful AI projects • International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role AI is moving faster than any single product team can track. Nebius is expanding across serverless, databases, MLflow, MLOps, Physical AI, and HCLS — and customers arriving with complex, real-world ML workloads need more than documentation. This role exists to close that gap: someone who can prototype what's possible, accelerate customers through their first 90 days, and feed hard-won field insight back into the product roadmap. This role sits at the intersection of deep ML engineering and product impact. You'll spend roughly half your time in the field — helping new customers move from POC to production, running technical onboarding, and working hands-on through their ML stack. The other half you'll spend building — prototyping applied AI use cases that show what's possible on the platform, going deep on emerging techniques before they're mainstream, and turning that expertise into concrete product direction. This is not a presales role. You get your hands dirty every day. What success looks like in 12 months • The product and sales teams have a library of working, polished demos they reach for on calls • Enterprise customers you've touched have meaningfully faster time-to-value than those you haven't • At least 2–3 product changes were shipped because of feedback you originated • The team understands where applied AI is heading 6–12 months from now, partly because you told them Your responsibilities will include: • Build prototypes and demos across the product portfolio — serverless inference, databases, MLflow, MLOps, and vertical use cases in Physical AI and HCLS — that become assets for sales, product, and engineering teams • Support new customers hands-on through POC design, technical onboarding, and validation; act as the bridge between their ML team and the platform during the critical first months • Go deep on emerging applied AI — new training techniques, inference optimizations, agentic architectures, new frameworks — and turn findings into working prototypes, writeups, and product recommendations • Feed the product roadmap with specific, grounded feedback; be the voice of "here's what broke in three customer POCs last month and here's what needs to change" • Develop reusable technical assets — notebooks, reference architectures, benchmark results — that reduce onboarding friction at scale We expect you to have: • You've fine-tuned large models, debugged distributed training jobs, built production RAG or agentic pipelines, and optimized inference on GPU infrastructure — not just read about it • You're fluent in the modern ML stack: PyTorch, HuggingFace, CUDA fundamentals, Kubernetes for ML, MLflow or equivalent, vector databases • You've worked with enterprise ML teams — whether as a solutions engineer, customer engineer, or an ML engineer who collaborated closely with customers • You read papers and implement them — not for credit, but because it's how you stay sharp • You communicate with calibration: you can explain activation checkpointing tradeoffs to an ML engineer in the morning and the cost implication to a CTO in the afternoon It will be an added bonus if you have: • Experience in any of our vertical domains: Physical AI / robotics / simulation, HCLS (drug discovery, medical imaging, clinical NLP), or enterprise AI application development • Familiarity with MLOps at scale (Kubeflow, Metaflow, Argo, Ray) • Prior work at a cloud provider or AI infrastructure company • You've shared technical work publicly — notebooks, talks, blog posts that people actually use Who thrives here You'll thrive here if you're energized by variety — one day deep in a customer's MLOps stack, the next building a demo from scratch. You want your technical depth to influence product decisions, not just close deals. 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! Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $200—$350,000 USD Benefits & Perks: • Competitive compensation • Career growth and learning opportunities • Flexibility and ownership • Collaborative and innovative culture • Opportunity to work on impactful AI projects • International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. About Tavily We're building the infrastructure layer for agentic web interaction at scale. Our API is designed from the ground up to power Retrieval-Augmented Generation (RAG) and real-time reasoning in AI systems. By connecting LLMs to high-quality, trustworthy web content, we help developers build agents that are not only intelligent — but also informed. We work with some of the most innovative teams in AI — from small startups shaping the ecosystem to the largest enterprises deploying AI at scale. Whether it's powering sales assistants, research copilots, or internal knowledge tools, we're the missing link between LLMs and the real world. The Role: Senior Site Reliability Engineer • Managing Kubernetes clusters across multiple environments and regions • Owning infrastructure as code for all resources • Maintaining and improving CI/CD pipelines and GitOps-based deployments • Maintaining and optimize real-time data pipelines that process billions of events per day across distributed queues and stream processors • Building out monitoring, alerting, and observability • Debugging production issues across services • Managing cloud costs and capacity planning • Working closely with a small engineering team — you'd own infra, not a slice of it What we're looking for • 5-8 years in a DevOps or platform engineering role, working in production environments • Proven experience designing and operating large-scale, distributed systems, with a solid understanding of API design, reliability, and performance at scale • Strong Kubernetes experience in a managed cloud environment • Proficiency with infrastructure as code (Terraform or similar) • Experience with GitOps-based deployment workflows • Built or maintained observability stacks (logging, metrics, alerting) • Experience handling production incidents calmly and methodically Nice to have: • Multi-region deployments • Search infrastructure • Data pipeline experience (streaming, warehousing) • Proxy/networking infrastructure at scale Why Tavily? • Full ownership — small team, you own the entire infrastructure, not a slice of it • Real scaling challenges — bursty scraping workloads, cache invalidation, multi-region, millions of daily requests • AI-native company — your infra directly powers AI agents used by leading companies in the space. Benefits & Perks: • Competitive compensation • Career growth and learning opportunities • Flexibility and ownership • Collaborative and innovative culture • Opportunity to work on impactful AI projects • International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role We are seeking an experienced Security Engineering Lead to join the Cyber Security organization, reporting to the Corporate Security Engineering Manager under the CISO. This is a senior technical lead role focusing on engineering and execution without direct people management responsibilities. This role combines hands-on security engineering to deliver end-to-end protection across corporate, cloud, and SaaS environments. You will not only define strategy and standards - you will build, configure, tune, and operate the technical controls that enforce them. You will be responsible for implementing, managing, integrating and maintaining security systems across the organization’s IT landscape. The role requires deep technical proficiency in multiple platforms and tools, combined with the ability to collaborate with Security, IT, Engineering, Product, GRC and other business units to reduce risks and embed strong security practices. Your responsibilities will include: • Engineer, deploy, and continuously tune systems such as Identity & Access, Threat Detection & Response, Cloud & Network Security. • Define, enforce and maintain security policies & configurations across endpoints, email, SaaS, network, and cloud platforms. • Design and implement solutions to gain continuous visibility into systems and processes, sensitive data, data flows, misconfigurations, and exposure risks across cloud and multi-cloud environments. • Monitor, triage, and investigate security alerts and risks, collaborating with Security, IT, Network teams on escalation and remediation. • Conduct risk assessments and identify gaps in security controls across systems, pipelines, and business processes. • Support compliance and regulatory requirements (e.g., GDPR, ISO 27001, SOC 2) related to security and privacy. • Collaborate with Engineering, IT, Product, and GRC teams to embed security controls into systems, and workflows. • Maintain documentation, runbooks, and guidelines for operations, security posture management, and security practices. We expect you to have: • 6+ years of experience in IT security, with a strong focus on System, Network, Information, Cyber. With at least 3 years in a Security Engineering role. • Proven hands-on engineering experience with enterprise security platforms - including policy authoring, tuning, incident workflow configuration, and platform administration. • Experience securing data across cloud environments and SaaS platforms, including shadow IT and unmanaged data stores. • Strong understanding of identity and access management and data access governance principles. • Experience working cross-functionally with Security, IT, Engineering, Product, and GRC teams. • Strong analytical mindset with the ability to communicate security risks clearly to technical and non-technical stakeholders. • Excellent written and verbal communication skills in English. • Proactive, detail-oriented, and ownership-driven. • Hand-on experience with multiple technologies such as: XDR (Extended Detection & Response), SWG (Secure Web Gateway), DLP (Data Leakage Prevention), Email Security, Network security (Firewalls, NAC, NDR), IGA (Identity Governance & Administration), CASB (Cloud Access Security Broker), PAM (Privileged Access Management), EPM (Endpoint Privilege Management), BAS (Breach & Attack Simulation), Vulnerability Scanners, SIEM (Security Information & Event Management), SOAR (Security Orchestration, Automation & Response), CTI (Cyber Threat Intelligence), Patch Management, TPRM (Third-Party Risk Management), EASM (External Attack Surface Management). It will be an added bonus if you have: • Experience building or scaling a security program from the ground up in a growing organization. • Experience with cloud-native security services (AWS, Azure, Google). • Knowledge of privacy and regulatory frameworks (GDPR, ISO 27001, SOC 2). • Scripting or automation skills (Python, PowerShell). • Relevant certifications such as CISSP, CISM. • BSc in Computer Science, Information Security, or a related field. • Project & people management experience. Benefits & Perks: • Competitive compensation • Career growth and learning opportunities • Flexibility and ownership • Collaborative and innovative culture • Opportunity to work on impactful AI projects • International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The 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 web access infrastructure of a novel search engine tailored for agentic AI consumption. In this role, you will focus on making our access to public web content reliable and efficient. You will investigate how modern websites and browsers communicate across the full request lifecycle, find the root cause when a request fails or returns something unexpected, and build the fixes into production systems operating at internet scale. Your work ensures that high-quality content is consistently available to the crawling, indexing and retrieval systems downstream. In this position, your responsibility will be to • Diagnose failed or degraded requests at the right layer: network and IP, TLS and HTTP/2 behavior, headers and session state, client-side scripts, or browser characteristics • Analyze how websites verify and classify clients, including how client-side scripts and protocol-level behavior shape what a site serves to different clients • Build clients and tooling that behave consistently and compatibly with standard browsers across all of these layers, using a real browser where a lightweight client is not enough • Monitor access quality as websites change: detect regressions, find the cause, and measure success on real content rather than on status codes • Build the tooling to do this at scale: traffic capture and comparison against real browsers, per-site and per-method success tracking, and the cost of each successful fetch • Choose the fetch method for each host, from a lightweight HTTP client to a full browser, balancing quality against cost You may be a good fit if you Have 5+ years of experience building production systems, and are an expert in several of the following areas. The request lifecycle • HTTP/1.1, HTTP/2 and HTTP/3, TLS handshakes and TLS fingerprints (JA3/JA4), and header behavior • What a server can observe at each step of a request, and what a client controls at each step • A debugging method, not guesses: replaying captured browser traffic, comparing against a real browser on the same network path, and changing one variable at a time Client-side analysis • Reading and analyzing complex or obfuscated JavaScript, and observing what a script measures by hooking browser APIs • How browser, device and network characteristics are measured (canvas, fonts, WebGL, screen and window metrics) and how consistent they are across layers • Browser instrumentation and the Chrome DevTools Protocol, used as tools for investigation Running it for real • Have run this in production and can give numbers: requests per day, sites or hosts, and the success rate and how you measured it • Strong programming in at least one of Go, Python, Rust or C++ Strong candidates may also have experience with • Working at a web data provider, a browser or web-security company, or a company that collects data from complex sources • Contributions to browser networking or fingerprinting-related open-source tooling, or public write-ups of how client verification works • Building or maintaining a patched browser • Networks, proxies and IP reputation • Internet-scale distributed systems, Kubernetes and cloud infrastructure The kind of problems you will work on • A site returns a different response to our client than to Chrome on the same network path. Find out why, and fix that cause. • A site changes how it verifies clients and success drops across a group of sites. Find what changed, adapt, and make the next change cheaper to catch. • Switching to a browser-like network profile makes results worse on some hosts. Work out what no longer matches. We conduct coding interviews as part of the process. Benefits & Perks: • Competitive compensation • Career growth and learning opportunities • Flexibility and ownership • Collaborative and innovative culture • Opportunity to work on impactful AI projects • International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. About Tavily 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. Tavily provides the search and intelligence layer that powers AI agents and retrieval systems with trustworthy, real-time information. We work with some of the most innovative teams in AI, from fast-growing startups to global enterprises, helping them build agents that are not only intelligent but informed. About the Role We're looking for a Senior Product Analyst to drive product decisions with data. You'll research how developers and companies discover, adopt and get value from Tavily and find the drivers behind them. You'll work as a thought partner to Product, R&D and leadership and shape what we build next and why. This is a senior, high-ownership role. You take a question from start to finish: you frame the problem, build the data you need, run the analysis or model, and come back with a clear recommendation. You are expected to understand the need and show people results they didn't even knew they wanted or needed and be an integrational part in decision making. You'll work closely with the analysts on the team and with Product, Engineering, Growth and GTM. What You'll Do • Own product analytics end-to-end: define, instrument and measure the product funnel, from first API call through activation, feature adoption, retention and conversion to paid. • Drive product decisions: work with PMs and R&D leads to set success metrics, size opportunities, prioritize the roadmap, and measure the impact of what we ship. • Uncover the drivers behind top-level KPIs: which behaviors, use cases, endpoints and product experiences predict activation, retention and expansion. • Design, run and evaluate experiments (A/B tests, onboarding flows, pricing and packaging changes) and apply advanced statistical models when needed. • Build the data you need: model raw product, usage and billing data into trusted, reusable datasets with SQL, dbt and Python and more. • Apply predictive and statistical modeling (segmentation, propensity, forecasting, classification and clustering) where it sharpens product decisions. • Proactively monitor key product metrics, investigate trends and anomalies, and surface insights stakeholders can act on. • Set the standard for how we measure product success: metric definitions, a shared source of truth and analytical rigor across teams. What We're Looking For • 5+ years of experience as a Product Analyst, Data Analyst or Data Scientist, including at least 2 years in a product-facing role. • 2+ years in a SaaS or tech product company, with deep understanding of funnels, cohorts, engagement, retention and monetization. • A proven record of driving product decisions through data: you've shaped roadmaps, launches or strategy, not just reported on them. • Comfort working with large, messy, event-level datasets. • Strong hands-on experience using Python for data analysis, experimentation and data modeling in a production environment. • Strong statistical foundations. • Demonstrated ability to influence business strategy through data and drive alignment across cross-functional stakeholders, including executive leadership. • Strong communication: you can turn complex analysis into a clear, compelling story and a concrete recommendation. • Experience with modern data tooling (Snowflake/BigQuery, dbt, Airflow, and BI tools like Omni/Looker/Tableau). • BSc in Statistics / Math / CS / Industrial Engineering or equivalent. Nice to Have • Experience at an API-first, developer-focused or PLG company. • Hands-on experience building and deploying ML models. • Familiarity with LLMs / AI tooling, and using AI agents to speed up your own analytical work. • Evidence that you build things on your own: a GitHub profile, portfolio, side projects or publications. • MSc in Statistics / Math / CS or equivalent. Benefits & Perks: • Competitive compensation • Career growth and learning opportunities • Flexibility and ownership • Collaborative and innovative culture • Opportunity to work on impactful AI projects • International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The Role Your responsibilities will include: • Ensure fault-tolerance, scale, and uninterrupted operations for the service. • Use cutting-edge cloud technology to solve a variety of infrastructure problems. • Implement and improve CI/CD processes. We expect you to have: • Solid experience with programming languages (like Go, Python, or C++); • Solid understanding of classic algorithms and data structures; • Commercial experience with and deep understanding of Unix systems and network technology; • Experience with systems for containerization and configuration management (Ansible, Salt, Terraform, Docker, K8s, Helm). It will be an added bonus if you have: • Desire to be involved in backend development; • Experience designing, developing, and running high-load distributed systems; • Commercial experience with a variety of cloud platforms. We conduct coding interviews as part of the process. Benefits & Perks: • Competitive compensation • Career growth and learning opportunities • Flexibility and ownership • Collaborative and innovative culture • Opportunity to work on impactful AI projects • International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role We're looking for a Senior Customer AI Engineer who will join our Token Factory team to help our customers successfully transition from proof-of-concept to production and scale their AI workloads on Nebius infrastructure. This role sits at the intersection of engineering, delivery, and customer success – ensuring that what was promised during pre-sales actually works reliably in production. You will work closely with customer engineering teams, Solution Architects, and Product/Infrastructure teams to drive stable, performant, and cost-efficient deployments. This role is NOT: • A sales role (though you will support expansion through value) • A pure support role (you won’t just react to tickets) • A solution architect role (you won’t design systems from scratch) You’re welcome to work remotely from 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: - performance (latency, throughput) - cost efficiency - reliability • Identify and resolve bottlenecks proactively Act as a trusted technical partner • Work directly with customer engineering teams • Provide guidance on best practices and optimisation • Translate technical challenges into actionable solutions Manage risks and incidents • Act as a primary technical contact for production issues • Coordinate with internal teams to resolve incidents • Communicate clearly during high-pressure situations Drive continuous improvement • Identify opportunities to optimise and expand usage • Provide structured feedback to Product and Infrastructure teams • Help shape better solutions based on real customer needs We expect you to have: Technical background • Practical knowledge of inference frameworks (e.g. vLLM, TensorRT, or similar) • Solid understanding of: - cloud or infrastructure systems - distributed systems or high-load applications - AI/ML workloads (LLMs, inference, etc.) is a strong plus • Ability to troubleshoot and reason about system performance Customer-facing experience • Experience working directly with technical customers (e.g. engineers, ML teams) • Ability to communicate complex topics clearly and effectively Ownership & execution • Strong sense of ownership – you drive outcomes, not just tasks • Ability to manage multiple customers and priorities • Structured, proactive, and solution-oriented mindset It will be an added bonus if you have: • Experience with GPU workloads or AI infrastructure • Background in solutions engineering, SRE, or technical support in B2B environments Benefits & Perks: • Competitive compensation • Career growth and learning opportunities • Flexibility and ownership • Collaborative and innovative culture • Opportunity to work on impactful AI projects • International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. We are looking for a Senior Software Engineer to work on the core search application powering our agentic search platform. In this role, you will build and operate a high-scale, latency-sensitive API that sits at the center of the search request flow. The system orchestrates multiple retrieval capabilities, ranking components, and downstream services to serve thousands of search requests per second while balancing search quality, latency, reliability, and infrastructure cost. In this position, your responsibility will be to • Design, implement, and operate core backend components of a search orchestration system, spanning online services and background data pipelines. • Build well-tested services and pipelines with clear responsibilities and interaction contracts, while remaining flexible as the system evolves • Define and implement observability primitives, including structured logs, metrics, traces, and quality signals for both online and offline components • Support experimentation and iteration by enabling feature flags, controlled rollouts, and online experiments • Track throughput, latency, and resource usage across the system, and improve performance or cost efficiency when business needs require it • Collaborate closely with ML engineers to integrate search quality improvements to the system, while keeping ML logic decoupled from core system internals • Monitor resource usage, bandwidth consumption, and infrastructure cost • Work with data analysts and product managers to translate product and quality goals into concrete backend behavior and measurable metrics You may be a good fit if you: • 5+ years of experience building product critical backend services • Strong Go and Python Experience • Experience with large-scale distributed systems (5k+ RPS, billions of events, high-throughput pipelines) • Understanding of Information Retrieval flows and pipelines • Experience operating production systems and debugging failures in distributed environments • Strong understanding of scalability, fault tolerance, and resource management • Are interested in either a strong senior IC role or a role with significant technical leadership and ownership. Benefits & Perks: • Competitive compensation • Career growth and learning opportunities • Flexibility and ownership • Collaborative and innovative culture • Opportunity to work on impactful AI projects • International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Nebius is looking for a Senior Data Engineer who in addition to building and owning data pipelines will also drive the design and technical leadership within the data engineering team. This is a hands-on data engineering role, focused on designing, implementing, and maintaining reliable data flows for analytics and machine learning. Infrastructure, cloud, and Kubernetes are used only as tools to run pipelines reliably and cost-efficiently — this is not an SRE or platform engineering role. You’re welcome to work in our offices in Tel Aviv, Israel. Your responsibilities will include: Core Responsibilities (Primary Focus) • Design, build, and own production-grade data pipelines using Python and SQL. • Develop stateless, idempotent pipelines that are resilient to retries, failures, and infrastructure interruptions. • Implement data transformations, validation, and data quality checks. • Optimize pipelines for performance, reliability, and cost efficiency. • Collaborate closely with Analytics, Data Science, and ML teams to deliver trusted datasets. Supporting Infrastructure (Secondary Focus) • Orchestrate pipelines using a workflow orchestration framework (e.g., Airflow or equivalent). • Package and run data workloads using Docker and deploy them on Kubernetes. • Use autoscaling and Spot / Preemptible compute for efficient pipeline execution. • Build CI/CD automation for data pipelines. • Use Infrastructure as Code only to provision and manage the infrastructure required to run pipelines. We expect you to have: • 8+ years of experience as a Data Engineer, primarily focused on building data pipelines. • 6+ years of hands-on experience with Python and SQL. • 3+ years of experience running workloads on Kubernetes. • Strong understanding of stateless system design and idempotent data processing. • Experience building and operating data pipelines in cloud environments. • Experience with workflow orchestration frameworks. • Strong Linux fundamentals and production debugging skills. • Working knowledge of spoken and written English It will be an added bonus if you have: • Experience contributing to or working extensively with open-source software. • Experience building data pipelines using Apache Spark or similar distributed processing frameworks. • Experience building data pipelines that support machine learning workflows. • Familiarity with cost-optimized data processing (e.g., Spot / Preemptible compute). • Experience with relational and non-relational data stores. • Experience working with large-scale or high-reliability data systems. • Experience collaborating with strong Data Science and ML teams. Benefits & Perks: • Competitive compensation • Career growth and learning opportunities • Flexibility and ownership • Collaborative and innovative culture • Opportunity to work on impactful AI projects • International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role We are looking for a Senior Product Manager to join our Agentic Search team, building the search and retrieval infrastructure that powers AI agents and LLM-based applications at scale. This is a hands-on IC role with real ownership. You will take full end-to-end responsibility over a core product area, from defining strategy through shipping and iterating based on real usage data. You will work within a small PM team reporting to the Director of Product, alongside engineering, design, and go-to-market, shaping how AI agents discover, retrieve, and act on web information in real time. The product serves both a developer-facing PLG motion and a growing enterprise customer base, so you will need to be equally comfortable digging into API design and search quality as you are running customer discovery calls and informing competitive positioning. We are looking for someone who can operate as a senior strategic partner, not just an executor, and who has the potential to grow into a principal-level PM over time. You’re welcome to work hybrid from Tel Aviv, Israel. Your responsibilities will include: • Own a core product area end-to-end: strategy, roadmap, execution, and iteration based on real usage signals and customer feedback. • Drive search quality and relevance improvements by working closely with engineering and research to define evaluation frameworks, benchmarks, and release criteria. • Engage directly with enterprise customers and developer users to validate ideas, understand pain points, and shape product-market fit across both PLG and enterprise motions. • Monitor the competitive landscape in agentic search and AI-powered retrieval, identifying shifts, threats, and opportunities that should inform product decisions. • Collaborate with go-to-market teams (sales, solutions, growth) to ensure product positioning, ICP definitions, and enablement materials reflect product reality. • Contribute to product strategy as a senior voice on a small, high-impact team, challenging assumptions and bringing independent judgment to key decisions. • Lead product experiments and rapid iteration cycles, moving from hypothesis to prototype to production with clear success criteria. We expect you to have: • 5+ years of product management experience, with a meaningful portion in developer tools, API platforms, or search and retrieval infrastructure. • Track record of shipping products in fast-moving markets, working closely with engineering and design from concept through launch and iteration. • Strong understanding of LLMs, AI agents, and how search and retrieval systems fit into agentic workflows. Hands-on technical background is a strong plus. • Degree in computer science, engineering, or a related field, with the ability to engage deeply with technical architecture and tradeoffs. • Comfortable operating in ambiguity: you can context-switch between strategic thinking and tactical execution without losing the thread. • Proven ability to influence cross-functional stakeholders and drive alignment without formal authority. • Excellent written and verbal communication: you can explain technical concepts clearly to both engineers and business stakeholders. It will be an added bonus if you have: • Experience in search, information retrieval, NLP, or adjacent domains. • Background in API-first or developer-platform businesses with both PLG and enterprise motions. • Leadership experience in a high-growth technology company, especially post-acquisition or startup-within-a-larger-org environments. • People management or mentoring experience (building the skills of other PMs). Benefits & Perks: • Competitive compensation • Career growth and learning opportunities • Flexibility and ownership • Collaborative and innovative culture • Opportunity to work on impactful AI projects • International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.