Вакансии

Location: United States Job Overview We are looking for an experienced Network Security Engineer to design, implement, monitor, and support enterprise security infrastructure across on-premises, cloud, and hybrid environments. The ideal candidate should possess strong expertise in next-generation firewalls, SIEM platforms, cloud security, Zero Trust architecture, and modern cybersecurity operations. The role requires hands-on experience with technologies such as Fortinet, SonicWall, Palo Alto Networks, SIEM solutions, SASE, SD-WAN, endpoint security, and threat detection platforms. Key Responsibilities Design, deploy, and manage enterprise network security solutions Configure and administer Fortinet, SonicWall, and Palo Alto firewalls Implement and maintain VPNs, IPS/IDS, web filtering, NAT, ACLs, and segmentation policies Monitor security events using SIEM, XDR, and SOC monitoring platforms Investigate security incidents, perform threat analysis, and support incident response activities Manage firewall policies, security rules, and compliance controls Implement Zero Trust Network Access (ZTNA) and identity-based security controls Support cloud security initiatives across AWS, Azure, and hybrid infrastructure Configure and support SD-WAN and Secure Access Service Edge (SASE) solutions Conduct vulnerability assessments and remediation activities Collaborate with infrastructure, cloud, and application teams to secure enterprise environments Maintain security documentation, diagrams, SOPs, and audit records Participate in on-call rotations and critical incident handling GPU East-West and North-South traffic control and security AI networking and security integration expertise Understanding of AI infrastructure design and reference architectures 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 Compliance with industry frameworks and standards such as NIST, ISO, etc. Required Skills & Technologies Firewall & Network Security Fortinet FortiGate SonicWall Palo Alto Networks Check Point (preferred) Cisco Firepower / ASA VPN Technologies (IPSec / SSL VPN) IDS/IPS Web Application Firewall (WAF) NAC (Network Access Control) Modern Security Technologies Zero Trust Architecture (ZTA) ZTNA (Zero Trust Network Access) SASE (Secure Access Service Edge) SD-WAN Security SSE (Security Service Edge) CASB (Cloud Access Security Broker) Micro-segmentation Secure Remote Access Solutions SIEM, SOC & Threat Detection Experience with one or more: Splunk QRadar Microsoft Sentinel LogRhythm ArcSight Elastic SIEM Knowledge of: SOC operations Threat hunting Log correlation MITRE ATT&CK framework Incident response Threat intelligence integration Cloud & Infrastructure Security AWS Security Microsoft Azure Security Hybrid cloud networking Cloud firewall management Security Groups / NSGs Identity & Access Management (IAM) Endpoint & Advanced Security EDR/XDR platforms CrowdStrike Microsoft Defender SentinelOne Endpoint hardening DLP (Data Loss Prevention) Email security solutions Networking Fundamentals Strong understanding of: TCP/IP Routing & Switching VLANs BGP / OSPF DNS / DHCP Load Balancing Network troubleshooting Automation & Scripting (Preferred) Python PowerShell Bash scripting Security automation SOAR platforms Preferred Certifications Fortinet NSE / FCP Palo Alto PCNSA / PCNSE CCNP Security CISSP CEH CompTIA Security+ Microsoft SC Certifications AWS Security Specialty Education Bachelor’s degree in Computer Science, Cybersecurity, Information Technology, or related field preferred. Soft Skills Strong analytical and troubleshooting skills Ability to work in high-pressure environments Excellent communication and stakeholder management Strong documentation and reporting abilities Proactive mindset with focus on continuous improvement

Location: Serbia Job Overview We are looking for an experienced Network Security Engineer to design, implement, monitor, and support enterprise security infrastructure across on-premises, cloud, and hybrid environments. The ideal candidate should possess strong expertise in next-generation firewalls, SIEM platforms, cloud security, Zero Trust architecture, and modern cybersecurity operations. The role requires hands-on experience with technologies such as Fortinet, SonicWall, Palo Alto Networks, SIEM solutions, SASE, SD-WAN, endpoint security, and threat detection platforms. Key Responsibilities Design, deploy, and manage enterprise network security solutions Configure and administer Fortinet, SonicWall, and Palo Alto firewalls Implement and maintain VPNs, IPS/IDS, web filtering, NAT, ACLs, and segmentation policies Monitor security events using SIEM, XDR, and SOC monitoring platforms Investigate security incidents, perform threat analysis, and support incident response activities Manage firewall policies, security rules, and compliance controls Implement Zero Trust Network Access (ZTNA) and identity-based security controls Support cloud security initiatives across AWS, Azure, and hybrid infrastructure Configure and support SD-WAN and Secure Access Service Edge (SASE) solutions Conduct vulnerability assessments and remediation activities Collaborate with infrastructure, cloud, and application teams to secure enterprise environments Maintain security documentation, diagrams, SOPs, and audit records Participate in on-call rotations and critical incident handling GPU East-West and North-South traffic control and security AI networking and security integration expertise Understanding of AI infrastructure design and reference architectures 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 Compliance with industry frameworks and standards such as NIST, ISO, etc. Required Skills & Technologies Firewall & Network Security Fortinet FortiGate SonicWall Palo Alto Networks Check Point (preferred) Cisco Firepower / ASA VPN Technologies (IPSec / SSL VPN) IDS/IPS Web Application Firewall (WAF) NAC (Network Access Control) Modern Security Technologies Zero Trust Architecture (ZTA) ZTNA (Zero Trust Network Access) SASE (Secure Access Service Edge) SD-WAN Security SSE (Security Service Edge) CASB (Cloud Access Security Broker) Micro-segmentation Secure Remote Access Solutions SIEM, SOC & Threat Detection Experience with one or more: Splunk QRadar Microsoft Sentinel LogRhythm ArcSight Elastic SIEM Knowledge of: SOC operations Threat hunting Log correlation MITRE ATT&CK framework Incident response Threat intelligence integration Cloud & Infrastructure Security AWS Security Microsoft Azure Security Hybrid cloud networking Cloud firewall management Security Groups / NSGs Identity & Access Management (IAM) Endpoint & Advanced Security EDR/XDR platforms CrowdStrike Microsoft Defender SentinelOne Endpoint hardening DLP (Data Loss Prevention) Email security solutions Networking Fundamentals Strong understanding of: TCP/IP Routing & Switching VLANs BGP / OSPF DNS / DHCP Load Balancing Network troubleshooting Automation & Scripting (Preferred) Python PowerShell Bash scripting Security automation SOAR platforms Preferred Certifications Fortinet NSE / FCP Palo Alto PCNSA / PCNSE CCNP Security CISSP CEH CompTIA Security+ Microsoft SC Certifications AWS Security Specialty Education Bachelor’s degree in Computer Science, Cybersecurity, Information Technology, or related field preferred. Soft Skills Strong analytical and troubleshooting skills Ability to work in high-pressure environments Excellent communication and stakeholder management Strong documentation and reporting abilities Proactive mindset with focus on continuous improvement

Location: Romania Job Overview We are looking for an experienced Network Security Engineer to design, implement, monitor, and support enterprise security infrastructure across on-premises, cloud, and hybrid environments. The ideal candidate should possess strong expertise in next-generation firewalls, SIEM platforms, cloud security, Zero Trust architecture, and modern cybersecurity operations. The role requires hands-on experience with technologies such as Fortinet, SonicWall, Palo Alto Networks, SIEM solutions, SASE, SD-WAN, endpoint security, and threat detection platforms. Key Responsibilities Design, deploy, and manage enterprise network security solutions Configure and administer Fortinet, SonicWall, and Palo Alto firewalls Implement and maintain VPNs, IPS/IDS, web filtering, NAT, ACLs, and segmentation policies Monitor security events using SIEM, XDR, and SOC monitoring platforms Investigate security incidents, perform threat analysis, and support incident response activities Manage firewall policies, security rules, and compliance controls Implement Zero Trust Network Access (ZTNA) and identity-based security controls Support cloud security initiatives across AWS, Azure, and hybrid infrastructure Configure and support SD-WAN and Secure Access Service Edge (SASE) solutions Conduct vulnerability assessments and remediation activities Collaborate with infrastructure, cloud, and application teams to secure enterprise environments Maintain security documentation, diagrams, SOPs, and audit records Participate in on-call rotations and critical incident handling GPU East-West and North-South traffic control and security AI networking and security integration expertise Understanding of AI infrastructure design and reference architectures 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 Compliance with industry frameworks and standards such as NIST, ISO, etc. Required Skills & Technologies Firewall & Network Security Fortinet FortiGate SonicWall Palo Alto Networks Check Point (preferred) Cisco Firepower / ASA VPN Technologies (IPSec / SSL VPN) IDS/IPS Web Application Firewall (WAF) NAC (Network Access Control) Modern Security Technologies Zero Trust Architecture (ZTA) ZTNA (Zero Trust Network Access) SASE (Secure Access Service Edge) SD-WAN Security SSE (Security Service Edge) CASB (Cloud Access Security Broker) Micro-segmentation Secure Remote Access Solutions SIEM, SOC & Threat Detection Experience with one or more: Splunk QRadar Microsoft Sentinel LogRhythm ArcSight Elastic SIEM Knowledge of: SOC operations Threat hunting Log correlation MITRE ATT&CK framework Incident response Threat intelligence integration Cloud & Infrastructure Security AWS Security Microsoft Azure Security Hybrid cloud networking Cloud firewall management Security Groups / NSGs Identity & Access Management (IAM) Endpoint & Advanced Security EDR/XDR platforms CrowdStrike Microsoft Defender SentinelOne Endpoint hardening DLP (Data Loss Prevention) Email security solutions Networking Fundamentals Strong understanding of: TCP/IP Routing & Switching VLANs BGP / OSPF DNS / DHCP Load Balancing Network troubleshooting Automation & Scripting (Preferred) Python PowerShell Bash scripting Security automation SOAR platforms Preferred Certifications Fortinet NSE / FCP Palo Alto PCNSA / PCNSE CCNP Security CISSP CEH CompTIA Security+ Microsoft SC Certifications AWS Security Specialty Education Bachelor’s degree in Computer Science, Cybersecurity, Information Technology, or related field preferred. Soft Skills Strong analytical and troubleshooting skills Ability to work in high-pressure environments Excellent communication and stakeholder management Strong documentation and reporting abilities Proactive mindset with focus on continuous improvement

Location: Poland Job Overview We are looking for an experienced Network Security Engineer to design, implement, monitor, and support enterprise security infrastructure across on-premises, cloud, and hybrid environments. The ideal candidate should possess strong expertise in next-generation firewalls, SIEM platforms, cloud security, Zero Trust architecture, and modern cybersecurity operations. The role requires hands-on experience with technologies such as Fortinet, SonicWall, Palo Alto Networks, SIEM solutions, SASE, SD-WAN, endpoint security, and threat detection platforms. Key Responsibilities Design, deploy, and manage enterprise network security solutions Configure and administer Fortinet, SonicWall, and Palo Alto firewalls Implement and maintain VPNs, IPS/IDS, web filtering, NAT, ACLs, and segmentation policies Monitor security events using SIEM, XDR, and SOC monitoring platforms Investigate security incidents, perform threat analysis, and support incident response activities Manage firewall policies, security rules, and compliance controls Implement Zero Trust Network Access (ZTNA) and identity-based security controls Support cloud security initiatives across AWS, Azure, and hybrid infrastructure Configure and support SD-WAN and Secure Access Service Edge (SASE) solutions Conduct vulnerability assessments and remediation activities Collaborate with infrastructure, cloud, and application teams to secure enterprise environments Maintain security documentation, diagrams, SOPs, and audit records Participate in on-call rotations and critical incident handling GPU East-West and North-South traffic control and security AI networking and security integration expertise Understanding of AI infrastructure design and reference architectures 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 Compliance with industry frameworks and standards such as NIST, ISO, etc. Required Skills & Technologies Firewall & Network Security Fortinet FortiGate SonicWall Palo Alto Networks Check Point (preferred) Cisco Firepower / ASA VPN Technologies (IPSec / SSL VPN) IDS/IPS Web Application Firewall (WAF) NAC (Network Access Control) Modern Security Technologies Zero Trust Architecture (ZTA) ZTNA (Zero Trust Network Access) SASE (Secure Access Service Edge) SD-WAN Security SSE (Security Service Edge) CASB (Cloud Access Security Broker) Micro-segmentation Secure Remote Access Solutions SIEM, SOC & Threat Detection Experience with one or more: Splunk QRadar Microsoft Sentinel LogRhythm ArcSight Elastic SIEM Knowledge of: SOC operations Threat hunting Log correlation MITRE ATT&CK framework Incident response Threat intelligence integration Cloud & Infrastructure Security AWS Security Microsoft Azure Security Hybrid cloud networking Cloud firewall management Security Groups / NSGs Identity & Access Management (IAM) Endpoint & Advanced Security EDR/XDR platforms CrowdStrike Microsoft Defender SentinelOne Endpoint hardening DLP (Data Loss Prevention) Email security solutions Networking Fundamentals Strong understanding of: TCP/IP Routing & Switching VLANs BGP / OSPF DNS / DHCP Load Balancing Network troubleshooting Automation & Scripting (Preferred) Python PowerShell Bash scripting Security automation SOAR platforms Preferred Certifications Fortinet NSE / FCP Palo Alto PCNSA / PCNSE CCNP Security CISSP CEH CompTIA Security+ Microsoft SC Certifications AWS Security Specialty Education Bachelor’s degree in Computer Science, Cybersecurity, Information Technology, or related field preferred. Soft Skills Strong analytical and troubleshooting skills Ability to work in high-pressure environments Excellent communication and stakeholder management Strong documentation and reporting abilities Proactive mindset with focus on continuous improvement

Location: Malaysia 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: Singapore 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: 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: San Francisco, CA; Sunnyvale, CA Workplace: Hybrid At Niantic Spatial, we’re building the future of physical AI. Powered by a proprietary database of over 30 billion posed images, our groundbreaking mapping technology unlocks a new dimension of interaction and spatial intelligence that helps both humans and machines better understand, represent, navigate, and engage with the real environment. Join us as we build the real-world foundational models for physical AI, so people and machines can work efficiently and safely together. As a Senior Computer Vision Engineer on the Applied Algorithms team, you will own significant parts of our Localization technology. As a member of this team, you will be responsible for building the Map representing a living geospatial world model, as well as the centimeter-level accuracy Visual Positioning System (VPS) that allows people and robots to explore the real world. Part of the role will be bridging the gap between R&D and production, turning complex geospatial data into a persistent sense of space and enabling the next generation of spatial AI. RESPONSIBILITIES - System Architecture: Design, develop, and maintain production-grade computer vision systems that power Niantic Spatial’s VPS (Visual Positioning System) and 3D mapping pipelines. - Algorithmic Innovation: Refine and scale algorithms for our VPS system including, SfM (Structure from Motion) and Feed Forwards models, efficient feature and descriptor extraction to have the best possible accuracy and recall. Moving algorithms from research concepts to hardened production code that can scale for our map of the world. - Performance Engineering: Optimize complex ML and CV code for maximum efficiency in cloud and mobile environments, ensuring low latency and high-performance execution on GPU/CPU. - Benchmarking & Evaluation: Create and own the tools and frameworks used to evaluate the quality of our spatial grounding and 3D maps against ground-truth data. - Technical Leadership: Lead technical design reviews, mentor junior engineers, and serve as a team anchor for resolving complex technical disagreements within the mapping stack. - Cross-Functional Delivery: Collaborate with Product, Research, and Operations teams to ensure that state-of-the-art computer vision solutions translate into delightful user experiences. REQUIREMENTS - Education: BS, MS, or PhD in Computer Science, Robotics, Computer Vision, or a related technical field (or equivalent professional experience). - Years of Experience: 5+ years of experience developing and shipping algorithms for image processing, computer vision, or 3D reconstruction. - Coding Proficiency: Expert-level proficiency in python and/or C++. - Domain Expertise: Proven track record in designing solutions for Structure from Motion (SfM), VPS or 3D mapping.. - Frameworks & Tools: Deep experience with Deep Learning frameworks (PyTorch or JAX) and version control (Git). - Required in-office days: 3 days per week Plus If: - Experience in planning and leading technical projects from inception to production. - Significant contributions to open-source CV libraries (OpenCV, COLMAP, etc.). - Experience with CUDA or shader programming for performance optimization. Candidate Privacy Policy I understand that by submitting my job application, the information I provide as part of that application will be used in accordance with Niantic Spatial’s Privacy Notice for Job Applicants and Candidates https://www.nianticspatial.com/applicant-privacy-notice. If required by law, by submitting my job application I consent to the processing of my information as described in that Notice, including processing information I voluntarily disclose to Niantic Spatial, such as health or medical information, race or ethnicity data, and sexual orientation data and, in limited circumstances sharing information with third parties such as references and other third parties that assist in the hiring process. Niantic Spatial is an equal opportunity employer. Individuals seeking employment at Niantic Spatial are considered without regard to race, color, ancestry, national origin, religion, creed, age, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), marital status, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, sexual orientation, or any other protected category under applicable laws. Niantic Spatial, will also consider qualified applicants with criminal histories in accordance with applicable laws. Please contact your recruiter if you want to request an accommodation for the job application or interview process.

Location: San Francisco, CA | Seattle, WA | New York City, NY | Washington, DC 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 Anthropic's Supplier Security & Assurance (SSA) team sits within Security GRC and is responsible for assessing the security of our suppliers: evaluating whether vendors meet our security requirements, capturing the deviations, and giving the business a clear approval decision it can act on. We assess the vendor population a frontier AI lab actually depends on: SaaS and software, human data operations, compute and data center providers, hardware suppliers, and services firms. The program is designed agent-first so that people spend their time on judgment, remediation, and the vendors that matter most. As a member of the Supplier Security & Assurance team you will run supplier security assessments end to end: reviewing evidence, verifying agent-drafted evaluations, determining inherent and residual risk, and driving findings to closure with vendors and business owners. You will also carry the work that extends assurance past the approval, from contractual security terms and secure configuration baselines to continuous monitoring and reassessment, and you will help shape the tooling and requirements the program runs on. Key responsibilities Run supplier security assessments: review agent-prefilled outputs, evaluate vendor controls and evidence, determine residual risk, route to domain reviewers where deeper assessment is warranted Operate supplier issue management and risk treatment: document each finding with a severity, an owner, and a due date, drive remediation with the vendor and the business owner, record risk acceptances, and roll open issues up to the risk register Run continuous monitoring after approval: reopen an assessment on defined triggers (data classification change, new SOC 2 report, new subprocessor, vendor incident), investigate SaaS configuration, data, and use case drift signals, and queue a reassessment where the vendor's scope has moved Improve the program as you run it: identify gaps in coverage, questionnaires, requirements, and tooling that surface during assessments, propose the fix, and carry roadmap items that mature supplier security overall Tune and maintain our Claude-powered assessment platform alongside the team: prompt development, questionnaire and assessment type design, calibration against assessor decisions, and output QA Contribute to KPI and KRI reporting on coverage, cycle time, residual risk, open issues, and reassessments due Minimum qualifications Experience running supplier security assessments end to end at a technology company: scoping the engagement, determining inherent risk, reviewing controls and evidence, documenting residual risk, and driving findings to closure Working knowledge of risk fundamentals (inherent and residual risk, control effectiveness, compensating controls, risk acceptance) and the judgment to apply them when the evidence is incomplete or the answer isn't in a framework Ability to assess a vendor across security domains, and to recognize which findings you can close yourself and which need a security domain specialist Track record of driving risk treatment to closure through influence across teams with competing priorities Experience building or tuning an LLM-backed workflow, agent, or automation in a risk, compliance, or operations context, including tuning prompts and reviewing model output for accuracy Experience building or operating issue management workflows: logging issues with a clear owner and due date, tracking remediation, and escalating when treatment stalls Working technical knowledge of SaaS security configuration (SSO and SCIM, admin scoping, sharing defaults, audit log export) and of standard vendor security contract terms (DPA, incident notification, subprocessors, audit and testing rights) Ability to read a SOC 2 report or penetration test and turn it into findings: identify control exceptions and carve-outs, map complementary user entity controls, and judge what the evidence does and does not prove Preferred qualifications Experience assessing cloud infrastructure, data center, or data-pipeline vendors Experience supporting SOX, SOC 2, or ISO 27001 third party or vendor management controls Experience assessing additional, more specialized vendor cohorts from a security risk perspective: human data operations or data labeling vendors, hardware suppliers, compute providers and neoclouds, and others Experience with post-approval supplier continuous monitoring: configuration, data, and use case drift detection, shadow IT & SaaS detection, vendor incident management, or evidence-based vendor audits/site visits 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: $255,000 — $270,000 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: Rotterdam, Netherlands An international B2B SaaS company is looking for a Senior Product Owner to lead one of its most strategic product domains – the integration platform connecting enterprise customer systems. This is a hands-on Product role focused on enterprise integrations, APIs and platform capabilities rather than customer-facing features. You'll own the product area end-to-end, working directly with customers, engineers and technology partners to design scalable integration solutions that automate complex operational workflows. What you'll do - Own the Integration & Platform product area from strategy through delivery. - Define product vision, roadmap and priorities for enterprise integrations. - Translate customer operational workflows into scalable integration logic. - Design product requirements, user stories and acceptance criteria. - Partner closely with engineering teams on API-first solutions. - Drive integrations with ERP, HR, finance, scheduling and other enterprise systems. - Work directly with enterprise customers to understand their processes and validate solutions. - Coordinate with third-party software vendors and technology partners. - Improve customer onboarding, automation and platform adoption. - Define and measure product success through KPIs such as onboarding time, integration adoption, reduction of manual work, data quality and customer outcomes. - Contribute to the evolution of AI-enabled workflows through APIs, webhooks and structured integrations. Requirements - 3+ years of experience as a Product Owner or Product Manager. - Strong experience owning enterprise integrations, API products or platform capabilities in production. - Hands-on understanding of REST APIs, webhooks and API-driven products. - Ability to independently translate customer business processes into technical specifications. - Experience with data mapping, workflow automation and enterprise integration patterns. - Comfortable working directly with enterprise customers and technical stakeholders. - Excellent English communication skills. Nice to have - Experience in B2B SaaS, TravelTech, FinTech or Enterprise Software. - Experience integrating ERP, HR, finance or scheduling systems. - Knowledge of iPaaS platforms such as MuleSoft, Boomi or Informatica. - Exposure to AI-powered workflow automation or intelligent agents. - Technical background in software engineering or integration engineering. Benefits - Ownership of a highly strategic product domain. - Opportunity to shape a platform that directly impacts customer success. - Close collaboration with international enterprise customers. - High level of autonomy and product ownership. - International product and engineering environment. - Hybrid work model (3 days per week in the office). Location - Rotterdam, Netherlands (Hybrid) - Candidates already based in the Netherlands are strongly preferred. - Visa sponsorship is available for exceptional candidates willing to relocate.

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: Remote OEM Sales Manager About us We are a pre-IPO company backed by a distinguished group of strategic partners and some of the world’s most influential climate tech funds. With strong traction in shipments and several major customer wins, the market now recognizes the value of our technology and the impact it will have on the future of the industry. We have a world-class R&D organization, an extensive patent portfolio, and a strong leadership team which is scaling the company across all functions. We are headquartered in Austin, TX, and have a state-of-the-art manufacturing facility in Saltillo, Mexico, with room for significant expansion. Increasingly, end customers are willing to pay a premium for solutions featuring “Infinitum Inside.” Our OEM partners are successfully leveraging this differentiation to achieve higher close rates and command greater margins. In short, we believe we have crossed the chasm—introducing breakthrough technology into a traditionally conservative sector. We are now ready to scale our go-to-market team substantially and are seeking team members who are passionate about rapid growth, eager to learn, and excited to tackle the challenges ahead as we make this journey together. The role As an OEM Sales Manager, you will be responsible for the overall success of Infinitum within your OEM accounts, working across regional offices of OEMs, Engineering Firms, Sales Rep organizations, MEP (Mechanical, Electrical, Plumbing) contractors and in general, any other relevant influencers. This role requires strong market-facing account management and relationship management capabilities, as well as strong cross-team collaboration within Infinitum. Responsibilities Drive design wins by developing and executing strategic sales plans to secure Infinitum motors in OEM HVAC product lines. Build and maintain executive-level relationships with OEM decision-makers across engineering, product management, and procurement teams to influence long-term design strategies. Apply strategic selling methodologies to navigate complex buying processes, uncover technical and commercial requirements, and position Infinitum as a preferred technology partner. Collaborate with internal teams including Business Development (to align on end-user demand creation) and Regional Sales Managers (to ensure downstream commercial success). Lead technical and commercial discussions with OEM engineering teams to demonstrate product value, performance benefits, and integration feasibility. Develop multi-year account plans that align with OEM product roadmaps and secure recurring design-in opportunities. Maintain strong relationships with Sales Rep organizations and help the salespeople at these organizations understand the value of “Infinitum Inside” solutions and how these can help them be more profitable Monitor competitive landscape and OEM market trends to identify opportunities for differentiation and early engagement in new product development cycles. Represent Infinitum at OEM-focused industry events and technical forums to strengthen brand positioning and build strategic partnerships. Maintain accurate CRM records, forecasts, and reporting on design-in progress, pipeline health, and account performance. Collaborate with marketing and product teams to tailor messaging, collateral, and technical resources for OEM engagement. Must haves 7+ years of OEM or Regional Sales Management experience in HVAC or related industry Proven ability to work across a complex eco-system and drive the success of a brand Experience with rapid revenue growth with a new product or a new business in an agile, dynamic business environment Strong selling skills with technically complex, high value product/s, sold at a premium Qualifications 7+ years of experience in OEM sales management or business development or related role, in HVAC, energy efficiency, or related industries Strong understanding of HVAC systems, mechanical contracting, and facility operations desired Strong strategic thinking and consultative selling skills Proven ability to onboard and manage 20+ accounts at any given time Skilled at managing an eco-system with multiple stakeholders Excellent communication, negotiation, and account development skills Comfortable working cross-functionally with engineering, marketing, and operations Benefits At Infinitum, we have created a collaborative community where everyone feels a sense of belonging and works together to achieve shared goals. Our benefits include: Comprehensive medical, prescription, dental, and vision coverage Health Savings Account (HSA) with employer contributions Healthcare FSA, Limited Purpose FSA, and Dependent Care FSA Company-paid short-term and long-term disability coverage Group Life and AD&D insurance Voluntary Life and AD&D insurance Employee Assistance Program 401(k) retirement plan (no employer match) Stock options Open paid time off (PTO) 12 paid company holidays Potential relocation assistance for eligible positions Flexible work arrangements, including hybrid opportunities based on role requirements Company-paid lunch on Fridays Community give-back opportunities Infinitum embraces diversity and is proud to be an equal opportunity employer. Agency representatives: We appreciate your interest, but we’ve got this! #LI-Remote

Location: San Francisco, CA | Seattle, WA | New York City, NY | Washington, DC 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 Claude is used across government, from US federal civilian agencies to national security, state and local, and allied international governments, and nearly every model and product Anthropic ships has public sector work on the end of it. Each of those segments runs under its own regulatory and deployment constraints, so delivering Claude to them means standing up compliant infrastructure with cloud partners, landing new models in restricted environments, bringing our application suite to parity with commercial, and clearing frameworks like FedRAMP, repeated for every segment. We're hiring a Technical Program Manager to own that program. Today that coordination is spread across the public sector product and engineering leads and the many teams they pull in: research, infrastructure, security, compliance, and product engineering. You'll become the single owner of that program, the person who knows where every workstream stands, what it is waiting on, and who needs to decide. Over time, government customers get new models and products on a predictable cadence, authorizations like FedRAMP run as a steady program rather than a one-off push, and each new segment takes less bespoke effort than the last. Responsibilities Own the program for delivering new Claude models into public sector environments: sequencing, dependencies, and tradeoffs across research, inference and capacity, cloud partners, safeguards, and compliance teams Drive FedRAMP and similar authorization programs for Anthropic's public sector offerings, working with privacy, security, compliance, and platform engineering Plan and sequence work across public sector segments, from model and API availability to application parity and segment-specific product work Represent public sector requirements in model launch planning alongside the launch TPMs Establish the operating rhythm: a single view of workstreams, owners, dependencies, risks, and status, with planning, escalation paths, and launch coordination across orgs Convert recurring efforts into documented, repeatable processes so that each new segment or model requires less bespoke coordination You may be a good fit if you Have several years of experience in technical program management, with a track record of successfully delivering complex, cross-functional programs Have shipped software or infrastructure into regulated or restricted environments (government clouds, air-gapped deployments, FedRAMP or similar authorization frameworks) and can engage meaningfully with the infrastructure, ML, and security engineers doing the work Have experience coordinating across multiple engineering teams and organizations simultaneously, including research, security, and compliance partners Are highly organized and can manage multiple parallel workstreams effectively across distributed teams Thrive in unstructured environments with a knack for bringing order to chaos and creating clarity in ambiguous situations Have excellent written and verbal communication skills, with the ability to influence without authority Have worked on public sector, defense, or government cloud programs, or hold or are eligible for a US security clearance (preferred but not required) Are passionate about Anthropic's mission and interested in the challenges of bringing AI capabilities to public institutions safely and reliably Are a US person. We have agreements with the US Government that mandate this for these roles. 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: $365,000 — $435,000 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: Remote-Texas; Remote-Florida; Remote-North Carolina; Remote-Arizona; Remote-Georgia Workplace: Remote LIFE AT UIPATH The people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating category-leading enterprise software that unleashes that power. To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care—about each other, about UiPath, and about our larger purpose. Could that be you? YOUR MISSION The Manager, Sales Engineering – Life Sciences leads and develops a team of Sales Engineers who act as strategic and technical advisors to life sciences prospects and customers. This role combines people leadership with deep industry and platform expertise, ensuring the team demonstrates how automation and AI can transform regulated, complex business processes across pharma, biotech, medtech, and related life sciences organizations. The manager partners closely with sales, product, and customer success leadership to build a high-performing, industry-credible pre-sales function. WHAT YOU'LL DO AT UIPATH - Lead, coach, and grow a team of Sales Engineers focused on the life sciences vertical, setting priorities and holding the team to a consistent standard of technical and industry credibility - Partner with sales leadership to build account and territory strategy, allocate SE coverage, and identify growth opportunities across life sciences accounts - Ensure the team delivers high-quality, industry-specific demonstrations and proof-of-value engagements that show how automation and AI improve regulated business processes - Personally engage on strategic or complex deals as a player-coach, including executive-level conversations and technical architecture discussions - Drive consistency in discovery methodology so the team can quantify business value and uncover automation opportunities across accounts - Represent the life sciences SE team in cross-functional planning with Product, Engineering, Marketing, and Customer Success, feeding field insights back into the roadmap - Champion best-practice sharing across the broader go-to-market organization and represent the life sciences point of view in company-wide SE initiatives WHAT YOU'LL BRING TO THE TEAM - Recruit, hire, and onboard Sales Engineers with life sciences domain expertise, building bench strength ahead of pipeline growth - Set individual and team goals, conduct regular 1:1s, and manage performance including coaching plans and, where needed, corrective action - Own capacity and coverage planning across accounts and deals, balancing workload and career development opportunities - Develop enablement and certification plans so the team stays current on the platform, AI capabilities, and life sciences regulatory and compliance context (e.g., GxP, validation requirements) - Create a feedback loop with the team to surface product gaps and competitive intelligence specific to life sciences - Foster a collaborative, inclusive team culture and support career progression paths for Sales Engineers Required Qualifications - Demonstrated industry domain knowledge in the life sciences vertical (pharma, biotech, medtech, or CRO environments) - Technical architecture skills sufficient to guide the team through complex, regulated solution designs - Track record partnering with sales leadership on account strategy and deal support with Global 2000 enterprises - Strong coaching, hiring, and performance-management skills - Excellent executive communication skills, able to represent the team with customers, partners, and internal leadership - Background in consulting, sales engineering, or automation programs - Willingness to travel up to 25% annually PREFERRED EXPERIENCE - Prior experience managing or leading a team of Sales Engineers, solutions consultants, or technical pre-sales professionals - Prior individual-contributor experience as a Sales Engineer or Solution(s) Engineer selling into life sciences accounts - Experience scaling a pre-sales team through a period of growth - Familiarity with agentic automation, RPA, and AI/ML-driven process transformation #LI-KS6 Maybe you don’t tick all the boxes above—but still think you’d be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes—and passion can’t be learned. Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office-based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected. We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy https://www.uipath.com/legal/trust-and-security/privacy-policy.

Location: Hybrid - San Francisco, New York City About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role The next generation of software won’t just be used by people — it’ll be built and shipped by agents. Builds are where that happens, and they’re the beating heart of Vercel. Whether an idea starts in v0, in an agent, or in an engineer’s editor, every customer builds — and millions of builds flow through our systems every day. As an engineer on the Agentic Infrastructure team, you’ll take ownership of the systems that carry that work at scale. You won’t just contribute features — you’ll be responsible for the design, reliability, and evolution of the platform itself. You’ll make decisions that shape performance, define best practices, and ensure the workflows that Vercel, our customers, and their agents depend on are fast, resilient, and secure. This role blends product thinking with deep systems ownership. You’ll partner with teams across Vercel to build and operate the agentic infrastructure that determines how software actually ships. We’re looking for engineers who want to own high-scale systems end-to-end, thrive on improving the developer/agent experience, and are driven to have a lasting impact on how modern software gets built and delivered. What you’ll do Own and evolve the infrastructure that powers Vercel’s build and deployment lifecycle — from handling webhooks to designing resilient database schemas and building scalable APIs. Design and operate high-performance microservices that process millions of builds daily, ensuring speed, reliability, and developer delight. Lead projects end-to-end: from identifying opportunities to defining technical direction and delivering improvements in performance, reliability, and developer experience. Collaborate across teams to align infrastructure with company-wide goals and ensure seamless developer workflows. Shape the long-term vision of agentic infrastructure at Vercel by setting standards for scalability, reliability, and developer productivity. Participate in the on-call rotation, taking responsibility for the reliability of critical systems. Contribute to the open-source community, representing Vercel’s commitment to advancing developer tools globally. Write clean, efficient, tested, and well-documented code that others can build upon confidently. What you need 3+ years of experience designing, building, and operating backend applications and distributed systems at scale. Strong proficiency in JavaScript/TypeScript, with the ability to navigate and improve complex systems. Strong proficiency with cloud infrastructure (AWS) and infrastructure as code (Terraform) A track record of end-to-end ownership — from design and implementation through to long-term operation in production. Skilled at cross-team collaboration, able to influence priorities and drive alignment toward shared goals. Able to reason about technical direction and architectural tradeoffs, balancing long-term vision with pragmatic delivery. Invested in the people around you — through mentorship, code review, or simply raising the bar on how the team builds. Curious, eager to learn, and motivated to push the boundaries of how modern software gets built and shipped. Bonus if you Are familiar with React or Next.js Have experience with DynamoDB Have worked to develop a CI/CD platform or internal developer platform used by other engineers or by agents. Have experience contributing to or participating in open-source projects. Have experience optimizing build systems for monorepos or polyrepo setups. Have experience with build caching, artifact storage, or dependency management at scale. Benefits & Compensation: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The base pay range for this role is $196,000.00 - $294,000.00. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. #LI-KR1 Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Location: New York City We are looking for a Senior Staff Software Engineer to play a key leadership role in our Developer Productivity group and drive developer velocity and fundamentally change the software development lifecycle with AI. The scope spans across the stack including tooling, frameworks, and infrastructure to provide full leverage in the developer experience for every software developer at Asana. Some of the teams’ current work include building out our internal agentic harness, setting up our online/offline developer evals, and increasing the effectiveness of our automated validation loop. The importance and scope of this work has grown significantly in the last year, and we need someone operating at the group level to help sequence and execute it. This role can be based in our New York or San Francisco offices with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve Drive critical developer productivity and AI developer tooling projects that impact 500+ developers at Asana Partner with the Developer Productivity Group Tech Lead to define technical vision and strategy for 6+ engineering teams, all focused towards improving velocity for Asana engineers Build and align on the roadmap for Asana's development platform to drive faster development lifecycle feedback loops and uplevel how every Asana engineer ships Own key outcomes like extending the internal tooling engineers use to delegate work to agents across harnesses Mentor senior and staff-level engineers in Developer Productivity and across Foundations and the rest of the Engineering organization Act as a resource for team-level tech leads on topics like longer-term technical planning, design & architecture, and prioritizing tech debt About you 10+ years of experience working as a technical contributor in large-scale products 2+ years of experience at owning a build system, developer environment, CI or equivalent at an organization of 200+ engineers Experience making and delegating technical decisions that have org-wide impact Developed a fluency in current AI developer tooling and have strong enough opinions to collaborate with teams and set direction Passionate about coaching and mentoring engineers of all experience levels Deep care for collaboration and an ability to foster an inclusive culture where everyone can bring their full selves to work and thrive Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply. What we’ll offer Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit. For this role, the estimated base salary range is between $323,500 - $336,750. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified. In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role. We strive to provide equitable and competitive benefits packages that support our employees worldwide and include: Mental health, wellness & fitness benefits Career coaching & support Inclusive family building benefits Long-term savings or retirement plans In-office culinary options to cater to your dietary preferences These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role. #LI-Hybrid About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law. Join Asana’s Talent Network to stay up to date on job opportunities and life at Asana.