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Location: Serbia Job Overview We are seeking a highly experienced Senior Linux Infrastructure Engineer with deep expertise in Linux administration, bare metal infrastructure, enterprise storage, and next-generation AI Factory / GPU infrastructure platforms . This role is focused on designing, deploying, operating, and troubleshooting large-scale Linux-based infrastructure that powers both traditional enterprise workloads and modern AI/ML environments. This is not a DevOps-focused role . We already have a dedicated DevOps team and are looking for an engineer with extensive hands-on experience in Bare Metal as a Service (BMaaS), GPU infrastructure, high-performance storage, data center operations, and enterprise Linux platforms . The ideal candidate will have experience building and managing infrastructure from the hardware layer up, including servers, networking, storage, GPU clusters, and AI-ready platforms. They should be comfortable working with high-performance computing (HPC), AI Factory environments, and large-scale Linux deployments where performance, reliability, and operational excellence are critical. Key Responsibilities & Required Skills Linux & Bare Metal Infrastructure Expert-level Linux administration (Ubuntu required; Red Hat and SUSE preferred) Deep expertise in bare metal server deployment, architecture, provisioning, and lifecycle management Experience operating Bare Metal as a Service (BMaaS) platforms and large-scale infrastructure environments Strong understanding of server hardware, including: BIOS/UEFI RAID controllers Firmware management iLO/iDRAC/IPMI NICs and SmartNICs HBA cards Hardware diagnostics and troubleshooting Experience designing, implementing, and supporting enterprise Linux infrastructure at scale AI Factory & GPU Infrastructure Experience deploying and managing GPU-accelerated infrastructure for AI/ML workloads Understanding of NVIDIA GPU technologies including: A100, H100, H200, B200, or equivalent GPU platforms NVIDIA DGX and OEM GPU servers GPU provisioning and lifecycle management GPU monitoring and performance optimization Knowledge of AI Factory architecture and infrastructure requirements Experience supporting GPU clusters, AI training environments, and high-performance computing (HPC) workloads Understanding of: GPU resource allocation and scheduling Multi-GPU systems GPU networking requirements High-bandwidth, low-latency infrastructure design Familiarity with NVIDIA ecosystem technologies such as: CUDA NCCL GPUDirect Storage NVIDIA Fabric Manager NVIDIA Base Command (preferred) Enterprise Storage & Data Platforms Advanced Linux storage administration: LVM XFS, EXT4 NFS iSCSI Fibre Channel SAN Multipath I/O Strong hands-on experience with Ceph , including: Cluster architecture MON, OSD, MDS RBD, CephFS, RGW Capacity planning Performance tuning Failure recovery Experience with high-performance AI storage platforms such as: WEKA VAST Data Dell PowerScale Pure Storage FlashBlade NetApp Understanding of: NVMe-over-Fabrics (NVMe-oF) RDMA GPUDirect Storage Parallel file systems AI data pipelines Networking & Infrastructure Strong networking knowledge: Bonding VLANs Routing MTU optimization DNS DHCP Experience with high-performance data center networking: 100G/200G/400G Ethernet RoCE RDMA Spine-Leaf architectures Familiarity with NVIDIA Spectrum-X, Mellanox/NVIDIA ConnectX adapters, or equivalent technologies Strong understanding of Layer 2 and Layer 3 infrastructure design and troubleshooting Operations & Reliability Experience with high availability, clustering, and disaster recovery Strong troubleshooting skills across: Linux operating systems Hardware platforms GPU infrastructure Networking Enterprise storage Experience supporting mission-critical production environments Bash and Python scripting for automation and operational efficiency Experience creating operational documentation, runbooks, and infrastructure standards Understanding of AI infrastructure design and reference architectures AI cloud integration for workloads SOP and runbook development and maintenance Incident, problem, and capacity management Business continuity and disaster recovery planning for AI workloads Proactive risk identification and mitigation to avoid business impact Nice to Have Kubernetes infrastructure (especially AI/ML and GPU integration) KVM, VMware, OpenShift Virtualization, or similar virtualization platforms Ansible automation NVIDIA Base Command Manager Slurm or HPC workload schedulers Observability and monitoring platforms (Prometheus, Grafana, OpenTelemetry) Data Center Infrastructure Management (DCIM) tools IPAM solutions AWS, Azure, or hybrid cloud exposure We Are Not Looking For Candidates whose experience is primarily CI/CD pipeline engineering Engineers focused mainly on Terraform, GitOps, or application delivery pipelines Cloud-only administrators with limited bare metal, storage, or hardware experience Professionals whose primary expertise is software development rather than infrastructure engineering Ideal Candidate Someone who has spent years designing, building, and operating enterprise Linux environments, large-scale bare metal infrastructure, storage platforms, and modern AI Factory environments. The ideal candidate understands how to deploy and manage GPU-enabled infrastructure, BMaaS platforms, enterprise storage, and high-performance networking while solving complex operating system, hardware, storage, and AI infrastructure challenges. DevOps experience is a plus, but deep Linux, infrastructure, storage, BMaaS, and AI Factory expertise is the primary requirement.

Location: Poland Job Overview We are seeking a highly experienced Senior Linux Infrastructure Engineer with deep expertise in Linux administration, bare metal infrastructure, enterprise storage, and next-generation AI Factory / GPU infrastructure platforms . This role is focused on designing, deploying, operating, and troubleshooting large-scale Linux-based infrastructure that powers both traditional enterprise workloads and modern AI/ML environments. This is not a DevOps-focused role . We already have a dedicated DevOps team and are looking for an engineer with extensive hands-on experience in Bare Metal as a Service (BMaaS), GPU infrastructure, high-performance storage, data center operations, and enterprise Linux platforms . The ideal candidate will have experience building and managing infrastructure from the hardware layer up, including servers, networking, storage, GPU clusters, and AI-ready platforms. They should be comfortable working with high-performance computing (HPC), AI Factory environments, and large-scale Linux deployments where performance, reliability, and operational excellence are critical. Key Responsibilities & Required Skills Linux & Bare Metal Infrastructure Expert-level Linux administration (Ubuntu required; Red Hat and SUSE preferred) Deep expertise in bare metal server deployment, architecture, provisioning, and lifecycle management Experience operating Bare Metal as a Service (BMaaS) platforms and large-scale infrastructure environments Strong understanding of server hardware, including: BIOS/UEFI RAID controllers Firmware management iLO/iDRAC/IPMI NICs and SmartNICs HBA cards Hardware diagnostics and troubleshooting Experience designing, implementing, and supporting enterprise Linux infrastructure at scale AI Factory & GPU Infrastructure Experience deploying and managing GPU-accelerated infrastructure for AI/ML workloads Understanding of NVIDIA GPU technologies including: A100, H100, H200, B200, or equivalent GPU platforms NVIDIA DGX and OEM GPU servers GPU provisioning and lifecycle management GPU monitoring and performance optimization Knowledge of AI Factory architecture and infrastructure requirements Experience supporting GPU clusters, AI training environments, and high-performance computing (HPC) workloads Understanding of: GPU resource allocation and scheduling Multi-GPU systems GPU networking requirements High-bandwidth, low-latency infrastructure design Familiarity with NVIDIA ecosystem technologies such as: CUDA NCCL GPUDirect Storage NVIDIA Fabric Manager NVIDIA Base Command (preferred) Enterprise Storage & Data Platforms Advanced Linux storage administration: LVM XFS, EXT4 NFS iSCSI Fibre Channel SAN Multipath I/O Strong hands-on experience with Ceph , including: Cluster architecture MON, OSD, MDS RBD, CephFS, RGW Capacity planning Performance tuning Failure recovery Experience with high-performance AI storage platforms such as: WEKA VAST Data Dell PowerScale Pure Storage FlashBlade NetApp Understanding of: NVMe-over-Fabrics (NVMe-oF) RDMA GPUDirect Storage Parallel file systems AI data pipelines Networking & Infrastructure Strong networking knowledge: Bonding VLANs Routing MTU optimization DNS DHCP Experience with high-performance data center networking: 100G/200G/400G Ethernet RoCE RDMA Spine-Leaf architectures Familiarity with NVIDIA Spectrum-X, Mellanox/NVIDIA ConnectX adapters, or equivalent technologies Strong understanding of Layer 2 and Layer 3 infrastructure design and troubleshooting Operations & Reliability Experience with high availability, clustering, and disaster recovery Strong troubleshooting skills across: Linux operating systems Hardware platforms GPU infrastructure Networking Enterprise storage Experience supporting mission-critical production environments Bash and Python scripting for automation and operational efficiency Experience creating operational documentation, runbooks, and infrastructure standards Understanding of AI infrastructure design and reference architectures AI cloud integration for workloads SOP and runbook development and maintenance Incident, problem, and capacity management Business continuity and disaster recovery planning for AI workloads Proactive risk identification and mitigation to avoid business impact Nice to Have Kubernetes infrastructure (especially AI/ML and GPU integration) KVM, VMware, OpenShift Virtualization, or similar virtualization platforms Ansible automation NVIDIA Base Command Manager Slurm or HPC workload schedulers Observability and monitoring platforms (Prometheus, Grafana, OpenTelemetry) Data Center Infrastructure Management (DCIM) tools IPAM solutions AWS, Azure, or hybrid cloud exposure We Are Not Looking For Candidates whose experience is primarily CI/CD pipeline engineering Engineers focused mainly on Terraform, GitOps, or application delivery pipelines Cloud-only administrators with limited bare metal, storage, or hardware experience Professionals whose primary expertise is software development rather than infrastructure engineering Ideal Candidate Someone who has spent years designing, building, and operating enterprise Linux environments, large-scale bare metal infrastructure, storage platforms, and modern AI Factory environments. The ideal candidate understands how to deploy and manage GPU-enabled infrastructure, BMaaS platforms, enterprise storage, and high-performance networking while solving complex operating system, hardware, storage, and AI infrastructure challenges. DevOps experience is a plus, but deep Linux, infrastructure, storage, BMaaS, and AI Factory expertise is the primary requirement.

Location: United States The Opportunity Flosum is looking for a visionary Salesforce Technical Business Analyst who lives and breathes the Salesforce ecosystem and wants to shape the future of how the world's largest enterprises build, secure, and scale on Salesforce. This is not a maintenance role. You will own the product roadmap for the only 100% Salesforce-native DevSecOps, Data Protection, and Security platform trusted by Fortune 100 companies, global brands like Hilton, Cargill, Barry Callebaut, Cushman & Wakefield, and AARP. You will work directly with the CEO and engineering leadership to define and ship products that create entirely new categories within the Salesforce ecosystem. We are at an inflection point. AI-driven DevOps (powered by Agentforce), agent-aware governance, zero-trust security orchestration, and intelligent data lifecycle management are transforming the Salesforce landscape. We need a product leader who sees around corners, understands where this space is heading, and has the conviction and execution chops to get us there first. About Flosum Flosum is the only enterprise-grade DevOps, Data Backup & Archive, Trust Center, and Data Seeding platform built 100% native on the Salesforce platform. As a Salesforce Summit Partner and the only native solution certified by Salesforce, we operate within the Salesforce trust boundary, which means zero data exposure, no third-party cloud processing, and full compliance with Salesforce security standards. Our customers are among the most demanding in the world: Fortune 500 enterprises in regulated industries (financial services, healthcare, government, life sciences) who require SOX compliance, zero-trust architecture, and audit-grade governance. We compete against Copado, Gearset, AutoRABIT, and Salto, and we win because our native architecture delivers security, speed, and extensibility that external tools simply cannot match. We recently integrated Salesforce Agentforce into our platform, making Flosum the first and only Salesforce-native AI DevOps solution. This is just the beginning of what we plan to build. What You Will Own Product Vision & Strategy Define and drive the multi-year product roadmap across Flosum's five product lines: DevOps, Backup & Archive, Trust Center, Data Seeding, and DevOps for Veeva. Identify whitespace opportunities in the Salesforce ecosystem where Flosum can create new categories or capture market share from competitors. Translate deep Salesforce platform knowledge (metadata architecture, deployment models, Agentforce, Data Cloud, multi-org environments) into product capabilities that enterprise customers will pay premium prices for. Stay ahead of Salesforce's own product direction (three releases per year) and position Flosum to capitalize on every platform shift. AI & Innovation Lead the next wave of AI-powered DevOps capabilities built on Agentforce, including intelligent deployment agents, AI-driven code review, automated security scanning, and predictive release management. Define how Flosum's extensibility platform enables customers to build custom AI-driven workflows within Salesforce's trust boundary. Pioneer agent-aware governance: preparing Salesforce governance frameworks for autonomous systems and AI agents. Customer & Market Insight Engage directly with Fortune 500 customers and prospects to deeply understand their pain points around Salesforce development, security, compliance, and data management. Translate complex enterprise requirements (SOX, zero-trust, multi-org, regulated industries) into elegant product solutions. Partner with Sales and Customer Success to influence deal strategy, conduct product demos for strategic accounts, and close competitive evaluations. Execution & Delivery Write detailed product requirements, user stories, and acceptance criteria. You do the work, not just delegate it. Partner with engineering to deliver on aggressive timelines. Own sprint planning, backlog prioritization, and release coordination. Define and track product KPIs: adoption, activation, expansion, NPS, competitive win rates. Requirements Who You Are We are looking for a missionary, not a mercenary. Someone who takes genuine ownership of outcomes, thinks independently, and is driven by a need to build something that matters, not just advance their career. 7+ years of product management experience in B2B SaaS, with at least 3 years focused on the Salesforce ecosystem or Salesforce-adjacent platforms. Deep technical understanding of the Salesforce platform: metadata-driven architecture, deployment pipelines, sandboxes, packaging, security models, Apex, Lightning, and the ISV partner ecosystem. Proven track record of shipping products that enterprise customers (Fortune 500, regulated industries) adopted and paid for. Not features; products. Experience with DevOps, CI/CD, release management, or security/compliance tooling is strongly preferred. You understand the competitive landscape: Copado, Gearset, AutoRABIT, Salto, and native Salesforce DX. You know where each is strong and where they are vulnerable. Strong perspective on how AI/ML (especially Salesforce Agentforce, Einstein, Data Cloud) will reshape the Salesforce development and governance landscape. Hands-on executor. You write PRDs, you talk to customers, you review wireframes, you sit in sprint reviews. You do not manage from a distance. Exceptional communication skills. You can present a product vision to a C-suite audience and write a technical specification for an engineering team in the same day. Intellectual curiosity and a bias toward action. When you see a problem, you solve it. When you don't know something, you go learn it. What Will Make You Exceptional in This Role You have experience building products in the Salesforce AppExchange ecosystem, ideally as an ISV or within a Salesforce-native product company. You have worked at the intersection of DevOps and security/compliance in regulated industries. You have led product-led growth initiatives within an enterprise product, designing self-serve onboarding, in-product conversion, and expansion mechanics. You have a point of view on the future of AI in Salesforce DevOps and can articulate a 3-year vision for how autonomous agents will change how enterprises build on Salesforce. You have experience going head-to-head against well-funded competitors and winning through product superiority rather than just marketing spend. What We Expect in the First 12 Months First 90 Days: Learn and Diagnose Achieve deep fluency in Flosum's five product lines and their technical architecture. Conduct 25+ customer and prospect interviews to build a firsthand understanding of enterprise pain points. Complete a competitive audit with specific, actionable recommendations on where Flosum should invest to win. Deliver your first product roadmap refresh with clear prioritization rationale. Months 3-6: Ship and Win Own and deliver at least one major product release that directly addresses a competitive gap or customer-requested capability. Establish a product-led feedback loop between Sales, CS, and Engineering that accelerates deal velocity and reduces churn. Define the next generation of Flosum's AI capabilities and present a detailed execution plan. Months 6-12: Scale and Lead Drive measurable improvement in competitive win rates against Copado and Gearset. Launch at least one net-new product capability that opens a new revenue stream or market segment. Establish Flosum as a thought leader in AI-driven Salesforce DevOps through content, speaking, and ecosystem engagement. Benefits Why Flosum Category-defining opportunity: You will shape the future of how enterprises build on Salesforce. This is not incremental; it is transformational. Direct CEO partnership: You will work shoulder-to-shoulder with a founder who is deeply technical, product-obsessed, and committed to building the best platform in the Salesforce ecosystem. Fortune 100 customer base: Your product decisions will directly impact how the world's largest and most complex organizations operate. AI inflection point: Agentforce and autonomous agents are rewriting the rules. Flosum is the first native platform to integrate these capabilities. You will define what comes next. Missionary culture: We hire people who want to make a dent, not pad a resume. If you are looking for a place where your work matters and your ideas are heard, this is it. Compensation & Benefits Competitive base salary + performance bonus Equity participation Comprehensive benefits (health, dental, vision, 401k) Hybrid flexibility (San Ramon, CA HQ) or remote for exceptional candidates Direct access to Salesforce ecosystem events, conferences (Dreamforce, TrailblazerDX), and customer engagements If you live in San Ramon, CA this can be a Hybrid position, but we're open to fully remote in other locations.

Location: Ukraine The Opportunity Flosum is looking for a visionary Salesforce Technical Business Analyst who lives and breathes the Salesforce ecosystem and wants to shape the future of how the world's largest enterprises build, secure, and scale on Salesforce. This is not a maintenance role. You will own the product roadmap for the only 100% Salesforce-native DevSecOps, Data Protection, and Security platform trusted by Fortune 100 companies, global brands like Hilton, Cargill, Barry Callebaut, Cushman & Wakefield, and AARP. You will work directly with the CEO and engineering leadership to define and ship products that create entirely new categories within the Salesforce ecosystem. We are at an inflection point. AI-driven DevOps (powered by Agentforce), agent-aware governance, zero-trust security orchestration, and intelligent data lifecycle management are transforming the Salesforce landscape. We need a product leader who sees around corners, understands where this space is heading, and has the conviction and execution chops to get us there first. About Flosum Flosum is the only enterprise-grade DevOps, Data Backup & Archive, Trust Center, and Data Seeding platform built 100% native on the Salesforce platform. As a Salesforce Summit Partner and the only native solution certified by Salesforce, we operate within the Salesforce trust boundary, which means zero data exposure, no third-party cloud processing, and full compliance with Salesforce security standards. Our customers are among the most demanding in the world: Fortune 500 enterprises in regulated industries (financial services, healthcare, government, life sciences) who require SOX compliance, zero-trust architecture, and audit-grade governance. We compete against Copado, Gearset, AutoRABIT, and Salto, and we win because our native architecture delivers security, speed, and extensibility that external tools simply cannot match. We recently integrated Salesforce Agentforce into our platform, making Flosum the first and only Salesforce-native AI DevOps solution. This is just the beginning of what we plan to build. What You Will Own Product Vision & Strategy Define and drive the multi-year product roadmap across Flosum's five product lines: DevOps, Backup & Archive, Trust Center, Data Seeding, and DevOps for Veeva. Identify whitespace opportunities in the Salesforce ecosystem where Flosum can create new categories or capture market share from competitors. Translate deep Salesforce platform knowledge (metadata architecture, deployment models, Agentforce, Data Cloud, multi-org environments) into product capabilities that enterprise customers will pay premium prices for. Stay ahead of Salesforce's own product direction (three releases per year) and position Flosum to capitalize on every platform shift. AI & Innovation Lead the next wave of AI-powered DevOps capabilities built on Agentforce, including intelligent deployment agents, AI-driven code review, automated security scanning, and predictive release management. Define how Flosum's extensibility platform enables customers to build custom AI-driven workflows within Salesforce's trust boundary. Pioneer agent-aware governance: preparing Salesforce governance frameworks for autonomous systems and AI agents. Customer & Market Insight Engage directly with Fortune 500 customers and prospects to deeply understand their pain points around Salesforce development, security, compliance, and data management. Translate complex enterprise requirements (SOX, zero-trust, multi-org, regulated industries) into elegant product solutions. Partner with Sales and Customer Success to influence deal strategy, conduct product demos for strategic accounts, and close competitive evaluations. Execution & Delivery Write detailed product requirements, user stories, and acceptance criteria. You do the work, not just delegate it. Partner with engineering to deliver on aggressive timelines. Own sprint planning, backlog prioritization, and release coordination. Define and track product KPIs: adoption, activation, expansion, NPS, competitive win rates. Requirements Who You Are We are looking for a missionary, not a mercenary. Someone who takes genuine ownership of outcomes, thinks independently, and is driven by a need to build something that matters, not just advance their career. 7+ years of product management experience in B2B SaaS, with at least 3 years focused on the Salesforce ecosystem or Salesforce-adjacent platforms. Deep technical understanding of the Salesforce platform: metadata-driven architecture, deployment pipelines, sandboxes, packaging, security models, Apex, Lightning, and the ISV partner ecosystem. Proven track record of shipping products that enterprise customers (Fortune 500, regulated industries) adopted and paid for. Not features; products. Experience with DevOps, CI/CD, release management, or security/compliance tooling is strongly preferred. You understand the competitive landscape: Copado, Gearset, AutoRABIT, Salto, and native Salesforce DX. You know where each is strong and where they are vulnerable. Strong perspective on how AI/ML (especially Salesforce Agentforce, Einstein, Data Cloud) will reshape the Salesforce development and governance landscape. Hands-on executor. You write PRDs, you talk to customers, you review wireframes, you sit in sprint reviews. You do not manage from a distance. Exceptional communication skills. You can present a product vision to a C-suite audience and write a technical specification for an engineering team in the same day. Intellectual curiosity and a bias toward action. When you see a problem, you solve it. When you don't know something, you go learn it. What Will Make You Exceptional in This Role You have experience building products in the Salesforce AppExchange ecosystem, ideally as an ISV or within a Salesforce-native product company. You have worked at the intersection of DevOps and security/compliance in regulated industries. You have led product-led growth initiatives within an enterprise product, designing self-serve onboarding, in-product conversion, and expansion mechanics. You have a point of view on the future of AI in Salesforce DevOps and can articulate a 3-year vision for how autonomous agents will change how enterprises build on Salesforce. You have experience going head-to-head against well-funded competitors and winning through product superiority rather than just marketing spend. What We Expect in the First 12 Months First 90 Days: Learn and Diagnose Achieve deep fluency in Flosum's five product lines and their technical architecture. Conduct 25+ customer and prospect interviews to build a firsthand understanding of enterprise pain points. Complete a competitive audit with specific, actionable recommendations on where Flosum should invest to win. Deliver your first product roadmap refresh with clear prioritization rationale. Months 3-6: Ship and Win Own and deliver at least one major product release that directly addresses a competitive gap or customer-requested capability. Establish a product-led feedback loop between Sales, CS, and Engineering that accelerates deal velocity and reduces churn. Define the next generation of Flosum's AI capabilities and present a detailed execution plan. Months 6-12: Scale and Lead Drive measurable improvement in competitive win rates against Copado and Gearset. Launch at least one net-new product capability that opens a new revenue stream or market segment. Establish Flosum as a thought leader in AI-driven Salesforce DevOps through content, speaking, and ecosystem engagement. Benefits Why Flosum Category-defining opportunity: You will shape the future of how enterprises build on Salesforce. This is not incremental; it is transformational. Direct CEO partnership: You will work shoulder-to-shoulder with a founder who is deeply technical, product-obsessed, and committed to building the best platform in the Salesforce ecosystem. Fortune 100 customer base: Your product decisions will directly impact how the world's largest and most complex organizations operate. AI inflection point: Agentforce and autonomous agents are rewriting the rules. Flosum is the first native platform to integrate these capabilities. You will define what comes next. Missionary culture: We hire people who want to make a dent, not pad a resume. If you are looking for a place where your work matters and your ideas are heard, this is it. Compensation & Benefits Competitive base salary + performance bonus Equity participation Comprehensive benefits (health, dental, vision, 401k) Hybrid flexibility (San Ramon, CA HQ) or remote for exceptional candidates Direct access to Salesforce ecosystem events, conferences (Dreamforce, TrailblazerDX), and customer engagements If you live in San Ramon, CA this can be a Hybrid position, but we're open to fully remote in other locations.

Location: Toronto; San Francisco; Canada; United States; New York; Montreal Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! About the Role Are you passionate about secure-by-design software engineering? Do you want to be at the forefront of AI innovation and enterprise security? Cohere's North team is seeking a Software Engineer with a focus on security to join our mission and make a significant impact. This isn't a review-and-advise role, you'll own and ship production security features that customers rely on every day. Your Role: As a Senior Software Engineer with a security focus, you'll play a pivotal role in building and securing North's architecture. Your responsibilities will include: - Software Development: Contributing to the core development of security features such as OIDC/OAuth flows and session management, ensuring North's AI agents are secure - Secure Coding: Writing secure code to handle OIDC tokens, user claims, and sensitive data, adhering to best practices for JWT validation and encryption - Authentication and Data Protection: Implementing authentication mechanisms including user login, token management, and authorization checks to maintain data integrity - Tool Integration: Pulling in new tools to enhance North's security capabilities - DevSecOps: Design and implement secret management within Kubernetes clusters, including encryption and RBAC - Cross-functional Collaboration: Demonstrate strong soft skills to communicate security best practices to stakeholders in a clear and concise manner You may be a good fit if: - Have 5+ years building user-facing security features in production systems - Ship production Python confidently and frequently - Understand OIDC/OAuth 2.0, JWT validation, and token lifecycle management deeply—not just conceptually - Have hands-on experience with Kubernetes in both development and production environments - Have worked across GCP, AWS, Azure, or hybrid/multi-cloud deployments - Are comfortable working across the stack - Communicate security concepts clearly to non-security engineers and stakeholders - Thrive in fast-moving environments where priorities evolve - Experience working with AI/ML systems or LLM-based applications FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: England; Portugal; Spain; Italy; Ireland; Germany Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ THE ROLE We're looking for a Staff Sales Engineer who's energized by solving hard, emerging problems at the intersection of AI, security, and software delivery. You will act as a trusted technical advisor and champion owner, partnering closely with Account Executives, Post Sales, and Product teams to drive measurable business and technical value through: - Technical Selling and Deal Shaping - AI Governance and Security Thought leadership - Technical Champion Ownership and Thought Leadership - Customer and Internal Advocacy - Competitive and Strategic Selling This role suits people who like translating deep technical complexity into business clarity, who are comfortable being one of the first to help define a category, and who bring varied backgrounds and ways of thinking to how we solve customer problems. As a Staff Sales Engineer, you will be reporting to the Solutions Engineering leadership team and operate at the intersection of technical depth, business acumen, and competitive selling discipline. _______________________________________________________________________ RESPONSIBILITIES Technical Selling and Deal Shaping - Lead deep technical discovery across Platform Engineering, DevOps, Security, and AI/ML teams to understand: - AI governance requirements for agentic development (shadow AI, ungoverned MCP tools, agents holding real developer credentials) - Software supply chain risk posture - Regulatory and compliance drivers (e.g., EU AI Act, NIST AI Risk Management Framework) - Secure development lifecycle requirements - Shape technical requirements early in the sales cycle to align customer outcomes with Docker's differentiated value in AI governance, container security, and software supply chain integrity. - Design, position, and execute structured PoCs/PoVs focused on: - Sandbox, network, and MCP tool policy enforcement - Image and artifact integrity (Docker Hardened Images, SLSA Build Level 3 provenance, verifiable SBOMs) - Software supply chain visibility - Agent and MCP tool governance controls - Secure build pipelines - Define clear success criteria, evaluation frameworks, and executive-ready value summaries. - Influence decision-making through demos, workshops, architecture reviews, and technical executive briefings. - Translate complex AI security and governance capabilities into clear business value narratives for CISOs, Heads of Platform Engineering, and AI leaders. AI Governance and Security Thought Leadership - Establish credibility as a trusted advisor on: - Responsible AI development practices - Secure AI model lifecycle management - Software supply chain integrity (SLSA provenance, SBOMs, verified base images) - Container and artifact security - DevSecOps best practices - Guide customers in implementing governance controls across AI-enabled SDLC workflows. Provide architectural guidance for: - Agentic AI development environments and runtime isolation (sandboxing) - Policy-as-code enforcement across agents, tools, and machines - MCP tool governance and allow-listing - Identity and access governance for AI workloads (IdP-based role and policy assignment) - Audit, logging, and SIEM visibility for agent activity - Act as a subject matter expert on secure software supply chain and AI security trends in customer-facing engagements. Technical Champion Ownership and Thought Leadership - Build, own, and expand relationships with technical champions across Security, DevOps, Platform, and AI teams. - Establish credibility as a trusted advisor through technical thought leadership, architectural guidance, and industry best practices. - Leverage champion relationships to influence broader buying groups, shape requirements, and uncover cross-sell and expansion opportunities. - Maintain engagement beyond the initial sale, ensuring outcomes are realized and leveraging insights to support future sales motions. Customer and Internal Advocacy - Advocate for customer needs with Product and Engineering, providing clear, actionable feedback informed by field experience. - Coordinate with Post Sales and Support resources to ensure continuity across the customer lifecycle. - Develop reusable technical assets (workshops, demos, reference architectures, enablement content) to scale impact across accounts. Competitive and Strategic Selling - Actively support competitive sales motions by identifying differentiation and influencing evaluation criteria throughout the sales cycle. - Partner with Sales to develop technical win strategies for strategic and competitive accounts. _______________________________________________________________________ QUALIFICATIONS We know strong candidates come from a range of paths, and that confidence gaps keep some excellent candidates from applying to roles like this. If you meet most of what's below and are excited about the rest, please apply. - Experience as a Sales Engineer, Solutions Engineer, or Solutions Architect in complex enterprise sales. - Strong experience running competitive PoCs/PoVs with clearly defined success and exit criteria. - Ability to engage credibly with senior technical and business stakeholders, including security and platform leadership. - Solid understanding of cloud platforms (AWS, Azure, GCP), containers, DevOps, and modern application architectures. - Experience with Docker, container ecosystems, or adjacent technologies strongly preferred. - Development, agentic AI development, software development lifecycle, and/or software supply chain experience strongly preferred. - Familiarity with AI governance, secure software supply chain (SLSA, SBOMs), MCP or agentic tooling, and DevSecOps practices strongly preferred. - Must be fluent in English. - Excellent communication, influence, and stakeholder management skills. - Willingness to travel to customer sites up to 25%. _______________________________________________________________________ WHAT TO EXPECT FIRST 30 DAYS - You will be welcomed with a first-in-class onboarding experience that includes equipment setup, a sweet swag package, and a collaborative training program working with an onboarding peer. - You will learn how to navigate award-winning sales tools such as Salesforce, Opine, Sigma, and Docker. - You will actively engage with senior stakeholders and manage relationships with clients. - You will work closely with your peers and partner with SEs to develop strategies to advocate for our customers. - At the end of your first month, you will have a proficient grasp of the tools and activities necessary to be successful in your role. FIRST 60 DAYS - You will be laser-focused on supporting the sales teams during your second month. - You will have connected with all of your team members. - You will gain in-depth knowledge of Docker's products and how they impact our customers. - You will have an advanced understanding of tools, activities, and best practices to be successful in your role. FIRST 90 DAYS - In month three, you will be confident in your craft and ready to immerse yourself fully in our customers' business needs. - You will continue efforts to improve messaging, processes, and activities. - You will educate our clients about our product roadmap and undertake product training for users. - You will be ready to operate independently at full speed. Visa sponsorship: Not available for this role. _______________________________________________________________________   COMPENSATION & EQUITY All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location. Europe: €141,400– €202,000 OTE ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: Kansas City, Missouri, United States 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 As a Data Center Technician , you will play a vital role in maintaining and optimizing the IT infrastructure within our data center. This includes working hands-on with modern technologies such as the advanced H200 GPU cloud cluster. Your responsibilities will include supporting the data center’s IT infrastructure by troubleshooting and resolving hardware issues, performing hardware and network diagnostics, carrying out physical repairs, and ensuring the smooth operation of critical systems. This is a shift-based role and may also require occasional travel between data center locations. You will work onsite in our Kansas City, Missouri data center location. Your responsibilities will include: Diagnosing and resolving issues related to IT hardware and ensuring the continuous support of the data center's IT infrastructure across all compute, storage, and networking platforms. Collaborating effectively with internal teams and external contractors to address technical and operational challenges across the data center floor. Installing, upgrading, and decommissioning hardware based on operational requests, change requests, and project requirements. Managing and maintaining the connectivity of fiber optic cables, copper patch cords, and structured cabling in accordance with Nebius standards and documentation. Planning, executing, and monitoring regular IT tasks — including preventive maintenance, break/fix activities, and routine deployments — to maintain and improve data center infrastructure operations. Supporting the Return Merchandise Authorization (RMA) process by assisting with hardware identification, fault documentation, and coordination with the DC Diagnostic & RMA team, in accordance with established Nebius procedures. Developing and maintaining clear, accurate documentation including hardware configurations, troubleshooting guides, maintenance logs, and operational runbooks. Collaborating with cross-functional stakeholders including shift leads, infrastructure engineers, and DC management to ensure work is completed to standard and on schedule. Participating in shift-level technical tasks and project execution as directed by the Senior DC Technician or Lead DC Technician. Monitoring and reporting on the status of assigned work items, incidents, and hardware tasks through Nebius ticketing and operational systems. We expect you to have: Hands-on experience diagnosing and resolving server hardware issues in a production or enterprise data center environment. A solid understanding of data center operations, server architecture, and network equipment principles. Basic proficiency in the Linux operating system and familiarity with command-line tools for system identification, log review, and basic diagnostics. Practical experience working with server IT hardware, enterprise-grade network switches, and fiber optic cabling. Proficiency with standard documentation and productivity tools including spreadsheets, with the ability to maintain logs, records, and operational reports. A proactive, responsible, and quality-focused approach to work with a strong commitment to safety and process adherence. Core Physical Requirements: Ability to stand and remain on your feet for extended periods, typically four or more consecutive hours during active shift operations. Ability to safely lift, carry, and position equipment weighing up to 50 pounds unassisted, and heavier loads with appropriate team-lift protocols or mechanical aids. Comfortable working at heights including ascending and descending ladders, raised platform equipment, and elevated data center infrastructure. Ability to work in confined spaces such as under raised floors, within enclosed rack enclosures, and in cable management pathways. Comfortable working in environments with variable temperatures, including cold aisle containment zones and active cooling infrastructure. Manual dexterity sufficient to handle small form-factor components, precision cabling, and fine connector installations. Visual acuity sufficient to read equipment labels, small-form-factor interface indicators, and detailed wiring diagrams in variable lighting conditions. Ability to push or pull equipment carts, server sleds, and wheeled infrastructure weighing up to 500 pounds on level surfaces. It will be an added bonus if you have: Valid Driving License Project planning skills Key employee benefits in the US: Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 401(k) plan: Up to 4% company match with immediate vesting. Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote work reimbursement: Up to $85/month for mobile and internet. Disability & life insurance : Company-paid short-term, long-term and life insurance coverage. 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 $30 — $42 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.

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Strategic Account Executive at Anthropic, you'll partner with the most innovative AI-native companies in their hypergrowth journey, working directly with founders and leadership teams to shape the future of AI adoption. You'll own our most strategic customer relationships, leading complex commercial discussions while driving deep engagement between these pioneering companies and Anthropic's executive team. Responsibilities: Own and deepen relationships with founder/CEO-level executives at the fastest-growing AI companies, serving as their primary strategic partner for AI infrastructure decisions Lead complex, high-stakes commercial negotiations spanning multiple stakeholders, including founders, operators, and venture capital firms Drive strategic alignment between customer roadmaps and Anthropic's product vision, advocating for customer needs at the highest levels of our organization Partner closely with technical counterparts to ensure seamless execution and customer success Identify emerging market trends and opportunities based on a deep understanding of how leading AI companies are building and scaling Develop and execute account strategies that support customers through various growth stages, from early startup to category leader Navigate complex organizational dynamics while maintaining strong relationships across both customer and internal stakeholders You may be a good fit if you have: 15+ years of experience in strategic sales or account management, with proven success managing high-complexity, strategic customer relationships Track record of leading and closing sophisticated commercial deals with multiple stakeholders Experience working directly with founders and C-level executives at high-growth technology companies Strong business acumen and ability to understand technical concepts sufficiently to engage in strategic discussions about AI implementations Proven ability to influence product direction and strategy based on customer needs Excellence in stakeholder management across multiple levels, from technical teams to C-suite Outstanding communication and presentation skills, with an ability to articulate complex value propositions to various audiences Strong candidates may have: Experience working with venture capital firms or understanding of the venture ecosystem Background in consumption-based/usage-based pricing models Experience supporting customers through hypergrowth phases Understanding of the AI/ML landscape and key trends Track record of helping define commercial frameworks for emerging technology markets The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $380,000 — $450,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Canada Wide - Excluding Quebec; British Columbia Workplace: Hybrid ABOUT THE ROLE Safe Software is looking for a Staff AI Engineer to design, build, and deploy production-grade AI systems across the organization. This is a hands-on engineering role responsible for the full AI lifecycle, from data preparation and model development through evaluation, deployment, monitoring, and continuous improvement. You will work across generative AI, applied machine learning, retrieval, and agentic systems while establishing reusable architectures and engineering standards for complex production implementations. ABOUT THE TEAM AI Enablement helps Safe Software adopt AI effectively and responsibly. The team builds shared capabilities, platforms, and engineering standards while enabling departments to deliver AI solutions aligned with common security and governance practices. WHAT YOU'LL BE DOING - Design, build, evaluate, deploy, and operate end-to-end AI/ML systems in production, spanning data preparation, model development, training or fine-tuning, integration, application logic, monitoring, and continuous improvement. - Architect and build agentic and multi-agent systems, including orchestration, task routing, shared state, tool use, agent handoffs, human oversight, and failure recovery. - Design and build enterprise knowledge and retrieval systems across structured and unstructured data, using data pipelines, embeddings, hybrid search, reranking, metadata, and access-controlled retrieval. - Integrate AI solutions with enterprise applications, APIs, databases, data platforms, and governed tools. - Establish automated testing, evaluation, and observability practices covering task success, model and retrieval quality, hallucination risk, tool execution, safety, latency, cost, drift, and regression. - Design secure and responsible AI systems with least-privilege access, auditability, sensitive-data protection, and safeguards against prompt injection, data leakage, and unauthorized actions. - Create reusable architectures, libraries, and engineering standards, and provide cross-functional technical leadership through design reviews, mentoring, and stakeholder collaboration. - Evaluate emerging Large Language Models, frameworks, and platforms and make evidence-based adoption recommendations. QUALIFICATIONS, SKILLS, AND COMPETENCIES WHAT WE'RE LOOKING FOR - 8+ years across software engineering and AI/ML, including 3+ years building and operating AI/ML systems in production at scale. - Strong software engineering skills, particularly in Python or comparable backend technologies. - Experience developing, adapting, fine-tuning, evaluating, deploying, and monitoring AI or machine learning models. - Applied AI experience in enterprise use cases such as chatbots, workflow automation, RAG, intelligent document processing, recommendation systems, or decision support. - Strong understanding of generative AI, LLMs, retrieval systems, agent-based architectures, and applied machine learning. - Experience with production data pipelines, APIs, model-serving infrastructure, testing, security, reliability, and observability. - Ability to explain complex technical decisions and tradeoffs to engineering teams and business stakeholders. NICE TO HAVE - Experience with agent and workflow orchestration tools such LangGraph, Semantic Kernel, AutoGen, CrewAI, or equivalent. - Experience with vector databases, semantic or hybrid search, embeddings, and reranking. - Experience with platforms such as Databricks, Snowflake, Amazon Bedrock, Microsoft Foundry/Azure AI, or equivalent. - Familiarity with MCP, A2A, self-hosted or open-weight models, and hybrid AI architectures. WHAT YOU CAN EXPECT When you choose a career with Safe Software, you’re also choosing… - Meaningful Work: Make a profound impact across our business, workplace and data integration product. - A Supportive Environment: Feel empowered to share your ideas and implement them with high autonomy and team support. - Social Responsibility: Become part of a team that finds meaningful ways to give back https://www.safe.com/about/community-initiatives/. Take paid time off to volunteer for one of our Safe-organized opportunities that align with our core community initiatives. - Learning & Career Development: We believe in your continuous learning and growth. Take advantage of an annual learning budget and training programs paid for by Safe. - Flexible Working Hours: Flexible and remote-friendly work arrangements to fit your lifestyle. Work when you want, and how you want to. - Work-Life Balance: There's no place for burnout at Safe. Maintain a healthy balance of your personal and work life without splitting yourself in two. Enjoy 3 weeks of vacation to recharge, plus an additional paid 6 seasonal days off per year. - Health & Wellness: Extended health, dental, health or lifestyle spending, and counseling benefits from day 1. That’s right, no waiting period. - Family is important: We are dedicated to supporting our employees through parenthood and offer a Parental Leave Top-Up Program for new parents through childbirth or adoption. - Shared Success: Share in Safe’s success with our bi-annual profit sharing and RRSP/TFSA matching program. - An Accessible Commute: Regardless of your commute method, we’re located close to public transit, and provide complimentary parking and bike storage for our team! ABOUT SAFE SOFTWARE Safe Software transforms organizations with FME, the only All-Data Any-AI Enterprise Integration Platform connecting all your data, anywhere, at any velocity. With over 30 years of expertise and 25,000+ enterprise customers across 125+ countries, we simplify your data journey, wherever it leads. Founded in 1993, Safe is headquartered in Surrey, BC with over 300 team members and counting. We’re always looking for talented individuals with diverse backgrounds who are determined to learn and grow. Are you ready to join the team? OUR COMMITMENT TO DIVERSITY AND INCLUSION Safe Software is an equal opportunity employer and we truly believe that innovation and strength begin with diversity and inclusion. We welcome all candidates regardless of race, gender identity or expression, sexual orientation, age, ability, disability, national or ethnic origin, political belief, religion, or family status. Should you require accommodations during the recruitment process, please contact hr_dept@safe.com. NOTICE REGARDING USE OF AUTOMATED TOOLS IN HIRING At Safe Software, we use automated tools to help us process applications and identify qualified candidates. These tools may assist in screening resumes and summarizing interview content based on the information you provide. This helps our team review applications efficiently while ensuring every candidate is considered based on the requirements of the role. Please be assured that the final hiring decision is always made by a member of our team. For more information on how we protect your privacy, please see our policy https://www.safe.com/legal/#applicant-privacy-policy. If you have questions about this process, please contact us at hr_dept@safe.com.

Location: United States 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. Leads employee compensation programs to ensure pay practices are competitive, equitable , and aligned with organizationa l objectives . Owns salary structure, job classification standards, financial modeling, and end-to-end administration of merit and bonus cycles. Develops compensation policy and partners with senior HR and Finance leadership on compensation decisions. Sets reporting standards, designs training, and leads process improvement across the function. Leads participation in external compensation surveys, resolves job matching discrepancies, and recommends competitive positioning strategy across pay levels. Owns the company's salary structure, determining changes to pay grades and range spread/midpoints and presenting them for approval. Reviews and approves job classifications, resolves escalated classification decisions, and establishes classification standards for the team. Oversees the integrity of job and pay records within the HRIS and establishes audit protocols to prevent errors, duplicates, and classification inconsistencies. Analyzes compensation data across the organization to identify systemic pay equity or compression issues and recommends corrective action plans. Reviews and resolves escalated compensation requests and establishes guidelines for how requests are evaluated. Owns the financial models used to project the cost of merit, market, and promotional guidelines, and presents recommendations directly to senior HR and Finance leadership. Leads the merit and bonus planning cycle end-to-end, designs manager guidelines and audit protocols, and resolves discrepancies between planned and actual compensation expenditure with Finance. Defines the compensation reporting standards used across the function and presents analyses directly to senior leadership. Develops and owns compensation policies, procedures, and program guidelines, and determines the policy response to new federal and state compensation regulations. Designs the training curriculum on compensation cycles and pay administration and delivers sessions to senior HR and business stakeholders. Leads process improvement initiatives across compensation workflows, standardizing and automating job pricing, merit cycle, and reporting processes. Requirements: Bachelor's degree in Human Resources , Business Administration, Finance, Economics, or a related field; or an equivalent combination of education and experience. Progressive experience in compensation analysis, salary administration, job analysis/evaluation, and market pricing, including experience presenting to senior leadership. Experience with human capital management system, compensation management system, spreadsheet software with advanced functions (e.g., nested lookup functions and pivot tables), market pricing data aggregation software, and business intelligence or reporting tools. Certified Compensation Professional (CCP) designation preferred. 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 $117,000 — $180,000 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.

Location: Amsterdam, Netherlands; Remote - Europe 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. Leads employee compensation programs to ensure pay practices are competitive, equitable , and aligned with organizationa l objectives . Owns salary structure, job classification standards, financial modeling, and end-to-end administration of merit and bonus cycles. Develops compensation policy and partners with senior HR and Finance leadership on compensation decisions. Sets reporting standards, designs training, and leads process improvement across the function. Leads participation in external compensation surveys, resolves job matching discrepancies, and recommends competitive positioning strategy across pay levels. Owns the company's salary structure, determining changes to pay grades and range spread/midpoints and presenting them for approval. Reviews and approves job classifications, resolves escalated classification decisions, and establishes classification standards for the team. Oversees the integrity of job and pay records within the HRIS and establishes audit protocols to prevent errors, duplicates, and classification inconsistencies. Analyzes compensation data across the organization to identify systemic pay equity or compression issues and recommends corrective action plans. Reviews and resolves escalated compensation requests and establishes guidelines for how requests are evaluated. Owns the financial models used to project the cost of merit, market, and promotional guidelines, and presents recommendations directly to senior HR and Finance leadership. Leads the merit and bonus planning cycle end-to-end, designs manager guidelines and audit protocols, and resolves discrepancies between planned and actual compensation expenditure with Finance. Defines the compensation reporting standards used across the function and presents analyses directly to senior leadership. Develops and owns compensation policies, procedures, and program guidelines, and determines the policy response to new federal and state compensation regulations. Designs the training curriculum on compensation cycles and pay administration and delivers sessions to senior HR and business stakeholders. Leads process improvement initiatives across compensation workflows, standardizing and automating job pricing, merit cycle, and reporting processes. Requirements: Bachelor's degree in Human Resources , Business Administration, Finance, Economics, or a related field; or an equivalent combination of education and experience. Progressive experience in compensation analysis, salary administration, job analysis/evaluation, and market pricing, including experience presenting to senior leadership. Experience with human capital management system, compensation management system, spreadsheet software with advanced functions (e.g., nested lookup functions and pivot tables), market pricing data aggregation software, and business intelligence or reporting tools. Certified Compensation Professional (CCP) designation preferred. 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.

Location: Remote - Europe 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 hiring a Forward Deployed Engineer to work alongside Physical AI customers, shape our core infrastructure products, and test ideas for what we should build next. You will work with enterprises, ISVs, and digital-native companies running training, simulation, synthetic data, evaluation, and model serving workloads. By understanding their systems and helping them reach production, you will uncover requirements that inform our Cloud, Serverless, and Token Factory teams. The goal is to connect needs across Physical AI industries with product decisions, including improvements that benefit enterprise customers more broadly. You will also investigate opportunities for new Nebius products. You will develop hypotheses about unmet needs, examine demand and existing alternatives, and build prototypes to test with customers. Your findings will help determine which opportunities deserve investment and what an initial product should deliver. The work is hands-on. You will write code, deploy and benchmark models, build agents, and troubleshoot infrastructure alongside customer engineers. The position is part of the Physical AI go-to-market team, with close collaboration across customers, NVIDIA, Product, and Engineering. What you will do Work with customer engineers to understand their workloads, infrastructure constraints, and production requirements. Translate Physical AI use cases into requirements that Cloud, Serverless, and Token Factory teams can use, backed by measurements and customer evidence. Identify enterprise adoption barriers and common needs across industries. Work with Product and Engineering to assess gaps and test improvements with customers. Build agents that set up, run, and debug Physical AI workloads, connecting them to clusters, schedulers, storage, and model servers. Deploy and benchmark open-weight models with serving stacks such as vLLM or SGLang, then tune them for customer workloads. Build prototypes and run technical evaluations to answer specific questions about performance, reliability, and product fit. Assess demand and existing alternatives for opportunities outside current product teams’ scope, then build where there is a clear market. Debug across Python, agents, model servers, Kubernetes, GPUs, networking, and storage. Turn successful setups into reusable scripts, deployments, and short guides. What we are looking for Three or more years in software engineering, cloud infrastructure, DevOps, ML infrastructure, or similar, including ownership of a production service, cluster, or platform. Experience working directly with customers or external engineers to scope problems, run evaluations, and explain technical tradeoffs. Ability to turn an unfamiliar customer problem into concrete infrastructure requirements. Practical experience building with LLMs or agents, at work or independently, with an understanding of their internals (e.g., transformers, KV caching, or tool calling) and how to evaluate their outputs. Familiarity with enterprise infrastructure requirements, including identity and access management, network isolation, security, monitoring, and reliability. Strong Python and Linux skills: you can read unfamiliar code, automate a setup, and debug from logs and metrics. Practical experience with containers and Kubernetes, including configuration, networking, storage, and scheduling. A record of getting useful software working with incomplete requirements, measuring results, and following through with the people using it. Helpful experience Enterprise customer engineering, solutions architecture, consulting, or taking a new product from an initial customer problem to adoption. Distributed compute such as Ray, Slurm, Spark, or multi-GPU jobs. NVIDIA GPU workloads, including memory management, drivers, CUDA, NCCL, and monitoring. Model serving with vLLM, SGLang, TensorRT-LLM, or TGI. Robotics, simulation, synthetic data, reinforcement learning, world models, or tools such as Isaac Sim, Isaac Lab, Omniverse, and Cosmos. Infrastructure automation and enterprise integrations, including Terraform, CI/CD, private connectivity, and identity federation. 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.

Location: Amsterdam, Netherlands 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 building and deploying large-scale AI infrastructure across multiple data centers. Our Hardware Deployment Engineering team is responsible for the technical bring-up, validation, troubleshooting and handover of new GPU, compute and storage infrastructure. We are looking for a Hardware Deployment Engineering Team Lead to manage and develop the Deployment Engineering team across EMEA. This is a hands-on technical leadership role that combines people management, capacity planning, project coordination and infrastructure engineering. You will lead engineers working across new data center launches and expansion projects. You will also serve as the primary point of contact between Deployment Engineering, project management, Data Center Operations and other engineering teams & will report to the Head of Hardware Delivery and Deployment. This position is based at our headquarters in Amsterdam, the Netherlands. Remote work is not available for this role. Regular travel to data centers across EMEA will be required Your responsibilities will include: Lead the Deployment Engineering team Manage a team of Deployment Engineers across EMEA. Hold regular 1:1s, provide feedback, set expectations, and support engineers in their development. Assign responsibilities and make sure engineers have clear ownership during deployments. Identify skill gaps and build technical depth within the team. Support hiring, onboarding, and performance management as the team grows. Remove blockers for engineers and escalate organizational or technical issues when necessary. Own deployment engineering planning Represent Deployment Engineering in project planning and synchronization meetings for new data center launches. Understand upcoming deployment milestones and translate them into engineering resource requirements. Plan engineer allocation across multiple parallel projects and deployment phases. Make sure the right technical expertise is available for hardware bring-up, testing, troubleshooting, and acceptance. Identify resource conflicts and delivery risks early rather than reacting to them during deployment. Maintain a clear view of team capacity, project priorities, travel requirements, and upcoming workload. Drive technical execution Ensure deployment testing and hardware bring-up are executed consistently and to the required quality level. Support engineers with complex hardware, firmware, Linux, and systems troubleshooting. Step into critical technical issues when deeper investigation or coordination is required. Drive problems toward a clearly identified failure domain, root cause, or actionable escalation. Coordinate with R&D, DC Operations, vendors, ODMs, and other engineering teams when issues cross organizational boundaries. Make sure deployment findings result in fixes, documentation, tooling, or process improvements rather than remaining one-off solutions. Improve how we deploy infrastructure Build repeatable deployment processes, standards, checklists, and troubleshooting practices. Improve the quality and predictability of hardware testing and acceptance. Identify recurring deployment problems and drive systemic fixes upstream into factory, hardware, firmware, tooling, or operational processes. Improve handover from Deployment Engineering to steady-state operations. Help develop automation and tooling that reduce manual work and increase deployment scale. We expect you to have: Strong experience with server hardware, data center infrastructure, or large-scale systems deployment. Experience leading engineers, either as a formal people manager or as a strong technical/team lead with clear ownership for other engineers. Ability to plan resources and coordinate engineering work across several projects running in parallel. Strong ownership mindset and the ability to operate in environments where procedures are incomplete and problems are not yet well understood. Ability to challenge assumptions, investigate beyond the immediate symptom, and drive issues to resolution. Strong communication skills and the ability to work effectively with project managers, engineering teams, operations, and external vendors. Comfortable working directly in data centers and traveling across EMEA when required. It will be an added bonus if you have: Linux troubleshooting skills and a solid understanding of modern server architecture. Experience diagnosing hardware and infrastructure problems across components such as CPU, memory, NVMe, PCIe, NICs, BMC, BIOS, and firmware. Experience deploying GPU or AI infrastructure at scale. Experience with large server fleets or hyper-scale environments. Experience working with ODMs or server vendors during production, deployment, or failure investigation. Experience with automated hardware validation or fleet-level testing. Experience building a deployment, infrastructure, SRE, hardware reliability, or similar engineering team. What success looks like You will not be measured by how many individual servers you personally troubleshoot or deploy. Success means that Deployment Engineering operates as a reliable function: projects know when and how to engage the team, engineers are assigned to the right work, technical problems are driven to resolution, deployment risks are visible early, engineers are developing, and new infrastructure can move from delivery to operational readiness predictably. You will be the person the Head of Hardware Delivery and Deployment can rely on to run the EMEA Deployment Engineering function day to day, while also continuously improving how the team operates and scales. 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.

Location: Remote - USA Workplace: Remote YOUR TURN TO START THE CONVERSATION. WRITE THE FUTURE AT RASA. Conversation. It’s the thread between our product and our people. The tool that enables us to forge relationships through compassion and expertise. To find the connection between our differences. It keeps us close together across borders and backgrounds and helps us create our shared vision. Rasa means tight-knit. We get to the point and have the courage to ask ‘why?’. Because through relentless experimentation, passion, and vision, we’re transforming the way people interact with organizations through AI. That’s Rasa. That’s our message. Join us and add yours. ABOUT THIS ROLE We are looking for a top-performing Enterprise Account Executive to join our team, modeled after the industry's best "technical closers." You will drive revenue growth by identifying, cultivating, and closing complex deals with Fortune 500 and Global 2000 enterprises. In this role, you’ll take the time to understand each prospect’s unique challenges, map them to Rasa’s platform, and clearly show how we can deliver value — both to end users and to decision-makers. You will understand and communicate how Rasa can be used across multiple industries and then manage complex deal cycles. We’re a startup, so you’ll have to be comfortable rolling up your sleeves and doing whatever is required to support our mission. However, you can expect to: - Build and execute a territory plan to target high-value enterprise accounts. Like our top reps, you are expected to be a "full-cycle" hunter, generating your own pipeline while collaborating with SDRs and Marketing. - Navigate multi-stakeholder sales cycles (6-12 months) involving technical champions (Developers, Architects) and economic buyers (C-Suite, LOB Heads) - Bridge the gap between technical value and business outcomes. You must be comfortable discussing APIs, open-source models, or infrastructure integration with engineering teams. - Lead a virtual account team (Solutions Engineers, Customer Success, Product) to win the technical win and the commercial win - Drive and prove technical capabilities and business value of Rasa’s platform - Forecast and manage your sales activity and pipeline to consistently hit revenue targets - Work closely with our customer success team and develop new opportunities for our existing customers - Collect and deliver customer feedback to the product team The role is: Full-time - 100% Remote - Continental USA This is a remote position, but the person needs to be based in the Continental USA - Rasa cannot assist with work authorization (visa sponsorship) for candidates located in the USA. ABOUT YOU You are excited about AI assistants, machine learning and letting people interact with machines through text and speech. You are an experienced self-starter who works well with little supervision. You should be able to use your unique personality, creativity and grit to expand our pipeline with new high profile prospects while working with our key customers to increase Rasa’s adoption. Ideal candidates have: - 3+ years experience in sales, specifically in complex technical domains (e.g., AI/ML, DevOps, Database/Infra) - A proven track record of selling large deals to Global 2000 enterprises (top 10% performance) - Proven history of consistently exceeding quotas ($1M+ ARR targets) - Experience closing six-figure deals - You don't need to code, but you must be "code-literate" or "infrastructure-fluent." - you can hold your own in a room with Engineering Directors - A self-driven professional who works with urgency and accountability, demonstrated by a track record of building pipeline from scratch and a creative, customer-centric hunter mindset. - Familiarity with sales methodologies like MEDDPICC, Challenger, or Command of the Message - You are ready to meet customers and prospects across your territory MEET YOUR TEAM This role sits within our Sales department, reporting into Will, our Global Head of Business Development. You will work with a solutions engineer and business development representative to build out your territory, progress opportunities through the buying journey and establish a partnership with key customers. FREQUENTLY ASKED QUESTIONS You can find answers to FAQs about this role specifically on our Enterprise Account Executive - FAQ sheet https://rasa.notion.site/Enterprise-Account-Executive-Bay-Area-USA-FAQ-s-249ab0adfd2a4c31982961a72770249b?pvs=73. WHAT YOU CAN EXPECT FROM US - Flexible hours and a dedicated remote budget - A stipend for professional development & 6 paid education days to help you grow within your role - Unlimited PTO + paid sick leave + paid public holidays - A Macbook, and other tech to help you do your job - We have regular remote team events, as well as an annual company-wide offsite - Health benefits - 401(k) contribution with up to 4% match - Equity options You can find more information about our benefits per location here: Rasa Perks & Benefits https://rasa.notion.site/Rasa-Benefits-Perks-5bf7e7e5380240bf9aa5bb6ae488aec9 ABOUT US Rasa is the agent building platform for AI product teams, enabling engineers and business teams to build, test, and ship agents together at speed. Enterprises across banking, insurance, telecom, healthcare, and retail use Rasa to create agents they can fully own, from customer service and voice to internal support. Teams can see exactly how every agent works, run it in their own environment, and make it as governable as each moment demands. And because Rasa slots into a team’s existing stack, new use cases reach customers sooner. Rasa is privately held with funding from StepStone, PayPal, Accel, Andreessen Horowitz, Basis Set Ventures, and others. The company was founded in 2016 and is remote-first with a global presence. Rasa is an equal opportunity employer. We are still a small team and are committed to growing inclusively. We want to augment our team with talented, compassionate people irrespective of race, color, religion, national origin, sex, physical or mental disability, or age. PLEASE BE MINDFUL OF THE HIRING LOCATION(S) LISTED. You must be located in and a resident of the location(s) listed for us to proceed with your application.

Location: Finland 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 a detail-oriented and experienced Regional Asset Manager to oversee the management of our Data Center IT infrastructure assets. You will play a crucial role in ensuring efficient utilization, tracking, and management of IT equipment to support operational excellence in IT department. Key Responsibilities: Be responsible for an inventory database for all IT assets, including servers, storage systems, networking equipment including data center IT components like GPUs, transceivers and many more. Conduct regular audits of physical and virtual assets to ensure accuracy and compliance with company policies. Manage the entire lifecycle of IT assets from procurement through deployment, maintenance, and eventual disposal. Manage RMA process for GPUs, Motherboard, Power supplies, and many more data centre components. Generate regular reports on asset utilization, performance metrics, and financial analysis related to the IT infrastructure. Analyze trends and provide recommendations for optimizing asset performance and reducing costs. Establish and enforce policies regarding asset management practices, including security, compliance, and risk management. Ensure adherence to industry standards and regulations concerning IT asset management. Work closely with IT departments, project managers, and other stakeholders to support projects and initiatives requiring asset allocation. Communicate asset status and potential issues to senior management and relevant teams effectively. Identify opportunities for process improvements in asset tracking, reporting, and life cycle management. Requirements: Bachelor’s degree in Information Technology, Business Administration, or a related field. Proven experience in asset management, particularly within IT equipment assets. Strong understanding of IT infrastructure components and asset management tools. Excellent analytical, organizational, and problem-solving skills. Strong communication and interpersonal skills. Strong written and spoken fluency in English Excel at the advanced level (pivot tables, formulas, lists, graphs). Experience with budgeting and financial forecasting related to IT assets. Readiness for business trips. It will be an added bonus if you have: Relevant certifications like IAITAM CHAMP 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.

Location: Poland Job Overview As a Technical Writer, you will create technical documentation and content covering AI infrastructure, AI data centers, AI factories, GPU computing, cloud infrastructure, enterprise hardware, and security. This role is ideal for someone who can understand technical specifications, architectures, implementation requirements, and infrastructure concepts and explain them clearly to IT professionals and decision-makers. Experience in technical writing within the AI, enterprise infrastructure, or enterprise IT highly desired. Key Responsibilities Create clear, accurate, detailed technical short-form content for landing pages and product pages. Create clear, accurate, and well-structured technical documentation. Develop implementation guides that help technical teams understand and deploy infrastructure and solutions. Research and write whitepapers covering AI infrastructure, GPU compute, cloud infrastructure, security, and emerging enterprise technologies. Create product and specification content for enterprise hardware, infrastructure solutions, and technology services. Write technical blog posts aimed at IT decision-makers, architects, engineers, and infrastructure practitioners. Translate complex technical specifications and concepts into content that is easy to understand without losing technical accuracy. Work with technical, product, engineering, and subject-matter experts to gather and validate information. Research emerging technologies and industry developments relevant to AI infrastructure and enterprise IT. Review technical content for accuracy, consistency, clarity, and completeness. Understand technical documentation, product specifications, architecture information, and implementation requirements. Use diagrams, tables, specifications, and structured information where appropriate to improve technical communication. Maintain consistency in terminology, technical language, and documentation standards. What We're Looking For Native English-speaking candidates only. Strong technical writing and communication skills. Demonstrated ability to understand and explain complex technical subjects. Experience writing for IT, infrastructure, enterprise technology, or related technical audiences. Strong research skills and the ability to learn unfamiliar technical subjects quickly. Ability to work with technical specifications, product information, documentation, and subject-matter experts. Excellent attention to technical accuracy and detail. Ability to adapt writing style for engineers, IT practitioners, architects, and senior technology decision-makers. Strong ability to organize complex information into clear and logical documentation. Comfortable researching technologies independently and asking the right technical questions. Relevant Technical Areas Experience in one or more of the following is valuable: AI infrastructure AI data centers AI factories GPU computing High-performance computing Cloud infrastructure Servers and enterprise hardware Data center infrastructure Cybersecurity Enterprise IT Virtualization Infrastructure architecture We are open to candidates with different technical backgrounds. Strong technical writing ability and the capacity to understand infrastructure technologies are more important than having experience in every area listed above. Preferred Qualifications Experience creating technical documentation or implementation guides. Experience writing technical whitepapers or research-driven content. Experience working with enterprise hardware or infrastructure products. Experience writing for IT architects, engineers, infrastructure teams, or technology decision-makers. Familiarity with APIs, cloud platforms, GPU infrastructure, AI/ML infrastructure, or enterprise systems. Basic understanding of SEO and content optimization. Experience using AI-assisted research and writing tools.

Location: Serbia Job Overview As a Technical Writer, you will create technical documentation and content covering AI infrastructure, AI data centers, AI factories, GPU computing, cloud infrastructure, enterprise hardware, and security. This role is ideal for someone who can understand technical specifications, architectures, implementation requirements, and infrastructure concepts and explain them clearly to IT professionals and decision-makers. Experience in technical writing within the AI, enterprise infrastructure, or enterprise IT highly desired. Key Responsibilities Create clear, accurate, detailed technical short-form content for landing pages and product pages. Create clear, accurate, and well-structured technical documentation. Develop implementation guides that help technical teams understand and deploy infrastructure and solutions. Research and write whitepapers covering AI infrastructure, GPU compute, cloud infrastructure, security, and emerging enterprise technologies. Create product and specification content for enterprise hardware, infrastructure solutions, and technology services. Write technical blog posts aimed at IT decision-makers, architects, engineers, and infrastructure practitioners. Translate complex technical specifications and concepts into content that is easy to understand without losing technical accuracy. Work with technical, product, engineering, and subject-matter experts to gather and validate information. Research emerging technologies and industry developments relevant to AI infrastructure and enterprise IT. Review technical content for accuracy, consistency, clarity, and completeness. Understand technical documentation, product specifications, architecture information, and implementation requirements. Use diagrams, tables, specifications, and structured information where appropriate to improve technical communication. Maintain consistency in terminology, technical language, and documentation standards. What We're Looking For Native English-speaking candidates only. Strong technical writing and communication skills. Demonstrated ability to understand and explain complex technical subjects. Experience writing for IT, infrastructure, enterprise technology, or related technical audiences. Strong research skills and the ability to learn unfamiliar technical subjects quickly. Ability to work with technical specifications, product information, documentation, and subject-matter experts. Excellent attention to technical accuracy and detail. Ability to adapt writing style for engineers, IT practitioners, architects, and senior technology decision-makers. Strong ability to organize complex information into clear and logical documentation. Comfortable researching technologies independently and asking the right technical questions. Relevant Technical Areas Experience in one or more of the following is valuable: AI infrastructure AI data centers AI factories GPU computing High-performance computing Cloud infrastructure Servers and enterprise hardware Data center infrastructure Cybersecurity Enterprise IT Virtualization Infrastructure architecture We are open to candidates with different technical backgrounds. Strong technical writing ability and the capacity to understand infrastructure technologies are more important than having experience in every area listed above. Preferred Qualifications Experience creating technical documentation or implementation guides. Experience writing technical whitepapers or research-driven content. Experience working with enterprise hardware or infrastructure products. Experience writing for IT architects, engineers, infrastructure teams, or technology decision-makers. Familiarity with APIs, cloud platforms, GPU infrastructure, AI/ML infrastructure, or enterprise systems. Basic understanding of SEO and content optimization. Experience using AI-assisted research and writing tools.

Location: India Job Overview As a Technical Writer, you will create technical documentation and content covering AI infrastructure, AI data centers, AI factories, GPU computing, cloud infrastructure, enterprise hardware, and security. This role is ideal for someone who can understand technical specifications, architectures, implementation requirements, and infrastructure concepts and explain them clearly to IT professionals and decision-makers. Experience in technical writing within the AI, enterprise infrastructure, or enterprise IT highly desired. Key Responsibilities Create clear, accurate, detailed technical short-form content for landing pages and product pages. Create clear, accurate, and well-structured technical documentation. Develop implementation guides that help technical teams understand and deploy infrastructure and solutions. Research and write whitepapers covering AI infrastructure, GPU compute, cloud infrastructure, security, and emerging enterprise technologies. Create product and specification content for enterprise hardware, infrastructure solutions, and technology services. Write technical blog posts aimed at IT decision-makers, architects, engineers, and infrastructure practitioners. Translate complex technical specifications and concepts into content that is easy to understand without losing technical accuracy. Work with technical, product, engineering, and subject-matter experts to gather and validate information. Research emerging technologies and industry developments relevant to AI infrastructure and enterprise IT. Review technical content for accuracy, consistency, clarity, and completeness. Understand technical documentation, product specifications, architecture information, and implementation requirements. Use diagrams, tables, specifications, and structured information where appropriate to improve technical communication. Maintain consistency in terminology, technical language, and documentation standards. What We're Looking For Native English-speaking candidates only. Strong technical writing and communication skills. Demonstrated ability to understand and explain complex technical subjects. Experience writing for IT, infrastructure, enterprise technology, or related technical audiences. Strong research skills and the ability to learn unfamiliar technical subjects quickly. Ability to work with technical specifications, product information, documentation, and subject-matter experts. Excellent attention to technical accuracy and detail. Ability to adapt writing style for engineers, IT practitioners, architects, and senior technology decision-makers. Strong ability to organize complex information into clear and logical documentation. Comfortable researching technologies independently and asking the right technical questions. Relevant Technical Areas Experience in one or more of the following is valuable: AI infrastructure AI data centers AI factories GPU computing High-performance computing Cloud infrastructure Servers and enterprise hardware Data center infrastructure Cybersecurity Enterprise IT Virtualization Infrastructure architecture We are open to candidates with different technical backgrounds. Strong technical writing ability and the capacity to understand infrastructure technologies are more important than having experience in every area listed above. Preferred Qualifications Experience creating technical documentation or implementation guides. Experience writing technical whitepapers or research-driven content. Experience working with enterprise hardware or infrastructure products. Experience writing for IT architects, engineers, infrastructure teams, or technology decision-makers. Familiarity with APIs, cloud platforms, GPU infrastructure, AI/ML infrastructure, or enterprise systems. Basic understanding of SEO and content optimization. Experience using AI-assisted research and writing tools.