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Location: Latvia OUR HIRING PROCESS: We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. We do not think machines can evaluate your application quite like our seasoned recruiting professionals—every person is unique. We promise to give your candidacy a fair and detailed assessment. We may then invite you to submit a video interview for the review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good fit for the team. At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc. and we never hire anyone into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSE team. From there on, it’s decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live. INFUSE is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy INFUSE is looking for a Senior DevOps Engineer to own and evolve our AWS infrastructure, CI/CD pipelines, and observability stack. You will bridge cloud engineering and software development across our entire product suite, including production LLM products and legacy systems requiring modernization. We need a proactive technical partner to lead our transition to EKS and GitHub Actions, enforce zero-trust security baselines, and mentor engineering teams along the way. As part of our dynamic team, your responsibilities in this role will include: Design, build and run secure AWS infrastructure (EC2 with Docker Compose, EKS) with Terraform and Ansible ; move suitable workloads from EC2 to EKS Build and maintain CI/CD in GitHub Actions ; move remaining Jenkins jobs to GitHub Actions Keep new and existing services at our security baseline: Cloudflare proxy with WAF and rate limiting, origins open only to Cloudflare, SSM access, no public SSH, least-privilege IAM, secrets rotation, regular patching and rebuilds, no containers running as root Own monitoring, alerting and logs on our standard stack ( Grafana, OpenTelemetry, Sentry ); on-call, incident response, post-incident reviews Own backups and regular restore tests Control AWS cost: tags, rightsizing, removing unused resources, estimates for new projects Regularly review the infrastructure we run, find risks and waste, and come with a plan without waiting for a ticket Take over infrastructure that is undocumented or run by contractors; document it and bring it under IaC, CI/CD and our standards Join new projects at kickoff: review hosting design, estimate cost, prepare infrastructure for the production-readiness review Work with internal teams and contractors ; set and enforce standards; mentor other engineers. Our ideal candidate possesses the following skills: 5+ Years in DevOps / SRE: Proven background operating mission-critical production environments, including 3+ years of hands-on experience running AWS at scale IaC & CI/CD Mastery: Expert with Terraform , highly proficient with Ansible , and experienced in designing production workflows with GitHub Actions Containerization & Kubernetes: Strong production experience with Docker and Kubernetes (specifically managed AWS EKS and Helm ) Production Security & Incident Management: Hands-on practice with platform hardening, zero-trust patterns, automated secrets management, system patching, and Cloudflare WAF/proxy configuration. Comfortable with on-call rotations, incident response, and executing verified backup restore drills English proficiency at B2 level or higher . What Else We Expect & Value: Application Ecosystem Familiarity: Experience supporting Node.js and Python microservices paired with PostgreSQL and Redis, as well as web stacks (WordPress, Nginx, PHP-FPM, MySQL) behind Cloudflare Modern Observability: Practical setup and maintenance of Grafana , Prometheus , and OpenTelemetry pipelines Core Scripting & Systems: Deep fluency in Linux administration, Bash , and Python scripting. Collaborative Leadership: Ability to effectively manage, document, and standardize work across internal teams and external contractor groups. AI-Augmented Workflow: Daily experience leveraging modern AI developer tools and agents ( Claude Code preferred ) to accelerate engineering output. Proactive & Autonomous Mindset: A self-starter who actively audits environments, catches vulnerabilities before they become outages, and brings actionable proposals to the table. Nice to have: Kafka (MSK), Jenkins, ClickHouse, Backstage, Sentry, Langfuse, SonarQube/Trivy/gitleaks, Cloudflare Zero Trust, AIOps, leading a small DevOps team, AWS/CKA certifications. What we offer: Fully remote work format Schedule: Monday–Friday, 2 PM – 11 PM Eastern European Time (including 1 hour break) A collaborative, innovation-first environment that values initiative and experimentation Paid time off and sick leave Reduced working hours on Fridays during the summer Days off on US national holidays and your birthday. Hiring process: Interview with Recruiter Technical Interview Interview with Hiring Manager Offer. If you meet these criteria and are excited about contributing to our team, we encourage you to apply. We look forward to meeting you! 👋

Location: Lithuania OUR HIRING PROCESS: We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. We do not think machines can evaluate your application quite like our seasoned recruiting professionals—every person is unique. We promise to give your candidacy a fair and detailed assessment. We may then invite you to submit a video interview for the review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good fit for the team. At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc. and we never hire anyone into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSE team. From there on, it’s decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live. INFUSE is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy INFUSE is looking for a Senior DevOps Engineer to own and evolve our AWS infrastructure, CI/CD pipelines, and observability stack. You will bridge cloud engineering and software development across our entire product suite, including production LLM products and legacy systems requiring modernization. We need a proactive technical partner to lead our transition to EKS and GitHub Actions, enforce zero-trust security baselines, and mentor engineering teams along the way. As part of our dynamic team, your responsibilities in this role will include: Design, build and run secure AWS infrastructure (EC2 with Docker Compose, EKS) with Terraform and Ansible ; move suitable workloads from EC2 to EKS Build and maintain CI/CD in GitHub Actions ; move remaining Jenkins jobs to GitHub Actions Keep new and existing services at our security baseline: Cloudflare proxy with WAF and rate limiting, origins open only to Cloudflare, SSM access, no public SSH, least-privilege IAM, secrets rotation, regular patching and rebuilds, no containers running as root Own monitoring, alerting and logs on our standard stack ( Grafana, OpenTelemetry, Sentry ); on-call, incident response, post-incident reviews Own backups and regular restore tests Control AWS cost: tags, rightsizing, removing unused resources, estimates for new projects Regularly review the infrastructure we run, find risks and waste, and come with a plan without waiting for a ticket Take over infrastructure that is undocumented or run by contractors; document it and bring it under IaC, CI/CD and our standards Join new projects at kickoff: review hosting design, estimate cost, prepare infrastructure for the production-readiness review Work with internal teams and contractors ; set and enforce standards; mentor other engineers. Our ideal candidate possesses the following skills: 5+ Years in DevOps / SRE: Proven background operating mission-critical production environments, including 3+ years of hands-on experience running AWS at scale IaC & CI/CD Mastery: Expert with Terraform , highly proficient with Ansible , and experienced in designing production workflows with GitHub Actions Containerization & Kubernetes: Strong production experience with Docker and Kubernetes (specifically managed AWS EKS and Helm ) Production Security & Incident Management: Hands-on practice with platform hardening, zero-trust patterns, automated secrets management, system patching, and Cloudflare WAF/proxy configuration. Comfortable with on-call rotations, incident response, and executing verified backup restore drills English proficiency at B2 level or higher . What Else We Expect & Value: Application Ecosystem Familiarity: Experience supporting Node.js and Python microservices paired with PostgreSQL and Redis, as well as web stacks (WordPress, Nginx, PHP-FPM, MySQL) behind Cloudflare Modern Observability: Practical setup and maintenance of Grafana , Prometheus , and OpenTelemetry pipelines Core Scripting & Systems: Deep fluency in Linux administration, Bash , and Python scripting. Collaborative Leadership: Ability to effectively manage, document, and standardize work across internal teams and external contractor groups. AI-Augmented Workflow: Daily experience leveraging modern AI developer tools and agents ( Claude Code preferred ) to accelerate engineering output. Proactive & Autonomous Mindset: A self-starter who actively audits environments, catches vulnerabilities before they become outages, and brings actionable proposals to the table. Nice to have: Kafka (MSK), Jenkins, ClickHouse, Backstage, Sentry, Langfuse, SonarQube/Trivy/gitleaks, Cloudflare Zero Trust, AIOps, leading a small DevOps team, AWS/CKA certifications. What we offer: Fully remote work format Schedule: Monday–Friday, 2 PM – 11 PM Eastern European Time (including 1 hour break) A collaborative, innovation-first environment that values initiative and experimentation Paid time off and sick leave Reduced working hours on Fridays during the summer Days off on US national holidays and your birthday. Hiring process: Interview with Recruiter Technical Interview Interview with Hiring Manager Offer. If you meet these criteria and are excited about contributing to our team, we encourage you to apply. We look forward to meeting you! 👋

Location: Romania OUR HIRING PROCESS: We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. We do not think machines can evaluate your application quite like our seasoned recruiting professionals—every person is unique. We promise to give your candidacy a fair and detailed assessment. We may then invite you to submit a video interview for the review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good fit for the team. At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc. and we never hire anyone into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSE team. From there on, it’s decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live. INFUSE is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy INFUSE is looking for a Senior DevOps Engineer to own and evolve our AWS infrastructure, CI/CD pipelines, and observability stack. You will bridge cloud engineering and software development across our entire product suite, including production LLM products and legacy systems requiring modernization. We need a proactive technical partner to lead our transition to EKS and GitHub Actions, enforce zero-trust security baselines, and mentor engineering teams along the way. As part of our dynamic team, your responsibilities in this role will include: Design, build and run secure AWS infrastructure (EC2 with Docker Compose, EKS) with Terraform and Ansible ; move suitable workloads from EC2 to EKS Build and maintain CI/CD in GitHub Actions ; move remaining Jenkins jobs to GitHub Actions Keep new and existing services at our security baseline: Cloudflare proxy with WAF and rate limiting, origins open only to Cloudflare, SSM access, no public SSH, least-privilege IAM, secrets rotation, regular patching and rebuilds, no containers running as root Own monitoring, alerting and logs on our standard stack ( Grafana, OpenTelemetry, Sentry ); on-call, incident response, post-incident reviews Own backups and regular restore tests Control AWS cost: tags, rightsizing, removing unused resources, estimates for new projects Regularly review the infrastructure we run, find risks and waste, and come with a plan without waiting for a ticket Take over infrastructure that is undocumented or run by contractors; document it and bring it under IaC, CI/CD and our standards Join new projects at kickoff: review hosting design, estimate cost, prepare infrastructure for the production-readiness review Work with internal teams and contractors ; set and enforce standards; mentor other engineers. Our ideal candidate possesses the following skills: 5+ Years in DevOps / SRE: Proven background operating mission-critical production environments, including 3+ years of hands-on experience running AWS at scale IaC & CI/CD Mastery: Expert with Terraform , highly proficient with Ansible , and experienced in designing production workflows with GitHub Actions Containerization & Kubernetes: Strong production experience with Docker and Kubernetes (specifically managed AWS EKS and Helm ) Production Security & Incident Management: Hands-on practice with platform hardening, zero-trust patterns, automated secrets management, system patching, and Cloudflare WAF/proxy configuration. Comfortable with on-call rotations, incident response, and executing verified backup restore drills English proficiency at B2 level or higher . What Else We Expect & Value: Application Ecosystem Familiarity: Experience supporting Node.js and Python microservices paired with PostgreSQL and Redis, as well as web stacks (WordPress, Nginx, PHP-FPM, MySQL) behind Cloudflare Modern Observability: Practical setup and maintenance of Grafana , Prometheus , and OpenTelemetry pipelines Core Scripting & Systems: Deep fluency in Linux administration, Bash , and Python scripting. Collaborative Leadership: Ability to effectively manage, document, and standardize work across internal teams and external contractor groups. AI-Augmented Workflow: Daily experience leveraging modern AI developer tools and agents ( Claude Code preferred ) to accelerate engineering output. Proactive & Autonomous Mindset: A self-starter who actively audits environments, catches vulnerabilities before they become outages, and brings actionable proposals to the table. Nice to have: Kafka (MSK), Jenkins, ClickHouse, Backstage, Sentry, Langfuse, SonarQube/Trivy/gitleaks, Cloudflare Zero Trust, AIOps, leading a small DevOps team, AWS/CKA certifications. What we offer: Fully remote work format Schedule: Monday–Friday, 2 PM – 11 PM Eastern European Time (including 1 hour break) A collaborative, innovation-first environment that values initiative and experimentation Paid time off and sick leave Reduced working hours on Fridays during the summer Days off on US national holidays and your birthday. Hiring process: Interview with Recruiter Technical Interview Interview with Hiring Manager Offer. If you meet these criteria and are excited about contributing to our team, we encourage you to apply. We look forward to meeting you! 👋

Location: Moldova OUR HIRING PROCESS: We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. We do not think machines can evaluate your application quite like our seasoned recruiting professionals—every person is unique. We promise to give your candidacy a fair and detailed assessment. We may then invite you to submit a video interview for the review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good fit for the team. At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc. and we never hire anyone into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSE team. From there on, it’s decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live. INFUSE is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy INFUSE is looking for a Senior DevOps Engineer to own and evolve our AWS infrastructure, CI/CD pipelines, and observability stack. You will bridge cloud engineering and software development across our entire product suite, including production LLM products and legacy systems requiring modernization. We need a proactive technical partner to lead our transition to EKS and GitHub Actions, enforce zero-trust security baselines, and mentor engineering teams along the way. As part of our dynamic team, your responsibilities in this role will include: Design, build and run secure AWS infrastructure (EC2 with Docker Compose, EKS) with Terraform and Ansible ; move suitable workloads from EC2 to EKS Build and maintain CI/CD in GitHub Actions ; move remaining Jenkins jobs to GitHub Actions Keep new and existing services at our security baseline: Cloudflare proxy with WAF and rate limiting, origins open only to Cloudflare, SSM access, no public SSH, least-privilege IAM, secrets rotation, regular patching and rebuilds, no containers running as root Own monitoring, alerting and logs on our standard stack ( Grafana, OpenTelemetry, Sentry ); on-call, incident response, post-incident reviews Own backups and regular restore tests Control AWS cost: tags, rightsizing, removing unused resources, estimates for new projects Regularly review the infrastructure we run, find risks and waste, and come with a plan without waiting for a ticket Take over infrastructure that is undocumented or run by contractors; document it and bring it under IaC, CI/CD and our standards Join new projects at kickoff: review hosting design, estimate cost, prepare infrastructure for the production-readiness review Work with internal teams and contractors ; set and enforce standards; mentor other engineers. Our ideal candidate possesses the following skills: 5+ Years in DevOps / SRE: Proven background operating mission-critical production environments, including 3+ years of hands-on experience running AWS at scale IaC & CI/CD Mastery: Expert with Terraform , highly proficient with Ansible , and experienced in designing production workflows with GitHub Actions Containerization & Kubernetes: Strong production experience with Docker and Kubernetes (specifically managed AWS EKS and Helm ) Production Security & Incident Management: Hands-on practice with platform hardening, zero-trust patterns, automated secrets management, system patching, and Cloudflare WAF/proxy configuration. Comfortable with on-call rotations, incident response, and executing verified backup restore drills English proficiency at B2 level or higher . What Else We Expect & Value: Application Ecosystem Familiarity: Experience supporting Node.js and Python microservices paired with PostgreSQL and Redis, as well as web stacks (WordPress, Nginx, PHP-FPM, MySQL) behind Cloudflare Modern Observability: Practical setup and maintenance of Grafana , Prometheus , and OpenTelemetry pipelines Core Scripting & Systems: Deep fluency in Linux administration, Bash , and Python scripting. Collaborative Leadership: Ability to effectively manage, document, and standardize work across internal teams and external contractor groups. AI-Augmented Workflow: Daily experience leveraging modern AI developer tools and agents ( Claude Code preferred ) to accelerate engineering output. Proactive & Autonomous Mindset: A self-starter who actively audits environments, catches vulnerabilities before they become outages, and brings actionable proposals to the table. Nice to have: Kafka (MSK), Jenkins, ClickHouse, Backstage, Sentry, Langfuse, SonarQube/Trivy/gitleaks, Cloudflare Zero Trust, AIOps, leading a small DevOps team, AWS/CKA certifications. What we offer: Fully remote work format Schedule: Monday–Friday, 2 PM – 11 PM Eastern European Time (including 1 hour break) A collaborative, innovation-first environment that values initiative and experimentation Paid time off and sick leave Reduced working hours on Fridays during the summer Days off on US national holidays and your birthday. Hiring process: Interview with Recruiter Technical Interview Interview with Hiring Manager Offer. If you meet these criteria and are excited about contributing to our team, we encourage you to apply. We look forward to meeting you! 👋

Location: Poland OUR HIRING PROCESS: We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. We do not think machines can evaluate your application quite like our seasoned recruiting professionals—every person is unique. We promise to give your candidacy a fair and detailed assessment. We may then invite you to submit a video interview for the review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good fit for the team. At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc. and we never hire anyone into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSE team. From there on, it’s decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live. INFUSE is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy INFUSE is looking for a Senior DevOps Engineer to own and evolve our AWS infrastructure, CI/CD pipelines, and observability stack. You will bridge cloud engineering and software development across our entire product suite, including production LLM products and legacy systems requiring modernization. We need a proactive technical partner to lead our transition to EKS and GitHub Actions, enforce zero-trust security baselines, and mentor engineering teams along the way. As part of our dynamic team, your responsibilities in this role will include: Design, build and run secure AWS infrastructure (EC2 with Docker Compose, EKS) with Terraform and Ansible ; move suitable workloads from EC2 to EKS Build and maintain CI/CD in GitHub Actions ; move remaining Jenkins jobs to GitHub Actions Keep new and existing services at our security baseline: Cloudflare proxy with WAF and rate limiting, origins open only to Cloudflare, SSM access, no public SSH, least-privilege IAM, secrets rotation, regular patching and rebuilds, no containers running as root Own monitoring, alerting and logs on our standard stack ( Grafana, OpenTelemetry, Sentry ); on-call, incident response, post-incident reviews Own backups and regular restore tests Control AWS cost: tags, rightsizing, removing unused resources, estimates for new projects Regularly review the infrastructure we run, find risks and waste, and come with a plan without waiting for a ticket Take over infrastructure that is undocumented or run by contractors; document it and bring it under IaC, CI/CD and our standards Join new projects at kickoff: review hosting design, estimate cost, prepare infrastructure for the production-readiness review Work with internal teams and contractors ; set and enforce standards; mentor other engineers. Our ideal candidate possesses the following skills: 5+ Years in DevOps / SRE: Proven background operating mission-critical production environments, including 3+ years of hands-on experience running AWS at scale IaC & CI/CD Mastery: Expert with Terraform , highly proficient with Ansible , and experienced in designing production workflows with GitHub Actions Containerization & Kubernetes: Strong production experience with Docker and Kubernetes (specifically managed AWS EKS and Helm ) Production Security & Incident Management: Hands-on practice with platform hardening, zero-trust patterns, automated secrets management, system patching, and Cloudflare WAF/proxy configuration. Comfortable with on-call rotations, incident response, and executing verified backup restore drills English proficiency at B2 level or higher . What Else We Expect & Value: Application Ecosystem Familiarity: Experience supporting Node.js and Python microservices paired with PostgreSQL and Redis, as well as web stacks (WordPress, Nginx, PHP-FPM, MySQL) behind Cloudflare Modern Observability: Practical setup and maintenance of Grafana , Prometheus , and OpenTelemetry pipelines Core Scripting & Systems: Deep fluency in Linux administration, Bash , and Python scripting. Collaborative Leadership: Ability to effectively manage, document, and standardize work across internal teams and external contractor groups. AI-Augmented Workflow: Daily experience leveraging modern AI developer tools and agents ( Claude Code preferred ) to accelerate engineering output. Proactive & Autonomous Mindset: A self-starter who actively audits environments, catches vulnerabilities before they become outages, and brings actionable proposals to the table. Nice to have: Kafka (MSK), Jenkins, ClickHouse, Backstage, Sentry, Langfuse, SonarQube/Trivy/gitleaks, Cloudflare Zero Trust, AIOps, leading a small DevOps team, AWS/CKA certifications. What we offer: Fully remote work format Schedule: Monday–Friday, 2 PM – 11 PM Eastern European Time (including 1 hour break) A collaborative, innovation-first environment that values initiative and experimentation Paid time off and sick leave Reduced working hours on Fridays during the summer Days off on US national holidays and your birthday. Hiring process: Interview with Recruiter Technical Interview Interview with Hiring Manager Offer. If you meet these criteria and are excited about contributing to our team, we encourage you to apply. We look forward to meeting you! 👋

Location: Prague, Czechia; Lisbon, Portugal; Madrid, Spain CloudLinux is a global remote-first company. We are driven by our principles: do the right thing, employees first, we are remote first, and we deliver high-volume, low-cost Linux infrastructure and security products that help companies to increase the efficiency of their operations. Every person on our team supports each other and does what we can to ensure we all are successful. Check out our website for more information: cloudlinux.com We are currently hiring Staff Engineers for various projects within the Imunify360 product. Imunify360 is CloudLinux's multi-layer security suite for Linux web servers: antivirus and malware cleanup, WAF, IDS/IPS, Proactive Defense, patch management (KernelCare/Patchman), and IP/domain reputation. It runs on hundreds of thousands of shared, VPS and dedicated hosting servers, under cPanel, Plesk, DirectAdmin and standalone. The engineering org is 60+ engineers in squads covering backend, core, server agent, malware research, WAF/WebShield, and Patchman. Core services are Python; agents and performance-critical paths are Go and Rust. We run on Hetzner and our own bare metal. Check out our website for more information: https://imunify360.com/ Role Mission & Scope Most complex technical challenges in Imunify360 go beyond individual squads. A single detection change can impact the scanner, agent, UI, reputation backend, and release process. While squad leads own delivery within their teams, the Staff Engineer ensures technical alignment across the product. As a Staff Engineer, you'll be a hands-on technical leader working across the entire product , focusing on the most critical and high-impact challenges as priorities evolve. You'll drive technical decisions, improve architecture, establish engineering standards, and help teams build sustainable solutions. This is an individual contributor role , without direct people management responsibilities. You'll remain actively involved in development, spending approximately 30–50% of your time writing production code , rather than focusing solely on architectural design. While deep expertise in a particular area is valued, this role requires the flexibility to work across different components, collaborate with multiple squads, and tackle challenges wherever your expertise can make the greatest impact. What you will own Architecture and technical direction Own the end-to-end architecture of Imunify360 as a product: agent ↔ server ↔ cloud backends, data flows, and the contracts between them. Write and drive ADRs and RFCs for cross-squad changes. Run the Wed/Fri architecture sync together with the Technical Director. Keep a living tech-debt and risk register (security / compliance / uptime) with owners and dates, and get the top items funded on the roadmap. Hard cross-cutting problems (examples of what lands on your desk) Agent resource footprint on dense shared hosts: CPU, memory and I/O budgets for scanning, file monitoring (inotify/fanotify) and WAF, measured on real kernels, not benchmarks from elsewhere. Detection pipeline quality: false positive / false negative rates, signature and ML model rollout with staged gates and rollback. Upgrade and release safety across a large, heterogeneous fleet (CentOS/AlmaLinux/CloudLinux/Ubuntu, multiple control panels, old kernels). Backend scale and cost of reputation, ThreatIntel and telemetry services. Migrating hot paths from Python to Go/Rust where the data shows it pays off, and saying no where it doesn't. Engineering standards Set the bar for design reviews, code review, testing strategy, observability (Prometheus/Grafana/Sentry) and secure SDLC (OWASP ASVS, CIS Benchmarks as relevant). Lead or co-lead SEV1/SEV2 incidents when the cause is unclear or cross-squad; make sure the blameless post-mortem ships within 24 h and its actions get closed. Drive the AI-augmented SDLC in practice: show what good agentic coding looks like (prompt specificity, context provision, review quality, tool boundaries) on real changes, not slides. People multiplier (no direct reports) Mentor senior engineers and squad leads toward staff-level scope. Act as the technical bar-raiser in hiring loops for senior and lead roles. Be the engineering voice in product and sales discussions: estimates, feasibility, and no dated customer commitment without a written squad-lead estimate. Key Milestones 30 days: Shipped at least one non-trivial change to production. Can explain the full request path from agent to backend. Has a personal list of top 10 technical risks. 90 days: Owns one cross-squad initiative with an approved ADR, a measured baseline, and a staged rollout plan. Published risk register reviewed in arch sync. 6 months: That initiative is in production with before/after metrics. At least one engineering standard (e.g. release gating, agent perf budget, design review template) is adopted by 3+ squads. 12 months: Recognized by squad leads as the default escalation point for cross-cutting technical decisions. At least one senior engineer grown into broader scope with your mentorship. Requirements Must have 10+ years building and operating production software, with 3+ years in a Staff/Principal/Tech Lead scope spanning several teams. Strong production experience in Python and at least one of Go or Rust . Deep Linux internals : processes, filesystems, networking, kernel interfaces (inotify/fanotify, eBPF or similar), packaging (RPM/DEB), systemd. Track record of designing and running distributed systems at scale: async backends, queues, databases, caching, failure modes. You have owned systems that run on customer machines (agents, daemons, on-prem software) and know what upgrade safety, backward compatibility and resource budgets mean there. Security mindset: threat modeling, secure coding, handling of untrusted input (files, HTTP traffic, user content). Writes clear, short technical documents and drives decisions in async, remote teams across time zones. Uses AI coding tools (Cursor, Claude, MCP-based tooling) daily and can judge their output critically. Nice to have Experience in server security: AV/malware detection, WAF (ModSecurity/Coraza), IDS/IPS, rootkit detection, CVE/patch management. Experience with WordPress and Node.JS web application hosting at scale ML in production for classification/detection, including evaluation and safe model rollout. Observability at scale: Prometheus, Grafana, Sentry, ClickHouse or similar. CI/CD ownership: GitLab CI, Jenkins, build systems for multi-distro packaging. Open-source contributions in security or systems tooling. Benefits What's in it for you? Stay hands-on technically while owning complex, high-impact engineering work. Work on challenging Linux, automation, and cybersecurity problems across mature and newer products. Influence technical direction and make meaningful architectural decisions. Work independently with a high level of ownership and autonomy. Fully remote work with flexible working hours. 24 paid vacation days, 10 national holidays, and unlimited sick leave. Private medical insurance compensation. Co-working and gym/sports reimbursement. Education budget. Opportunity to receive a reward for innovative ideas that the company can patent. By applying for this position, you consent to the processing of your personal data as described in our Privacy Policy ( https://cloudlinux.com/candidate-privacy-notice ), which provides detailed information on how we maintain and handle your data.

Location: San Francisco We are seeking an experienced Technical Recruiter to partner closely with engineering leadership and drive a best-in-class hiring experience. The ideal candidate will have a proven track record as a full-cycle technical recruiter in high-growth environments. Success in this role requires strong stakeholder management skills, creative AI-augmented sourcing strategies, and the ability to deliver high-quality hires in a fast-paced startup setting. Beyond the expected; this role requires both a superior level of operational wizardry; and a mastery of storytelling, steeped in a comprehensive understanding of the AI market and technology landscape. You won't just keep pace with how AI is reshaping recruiting, you'll be the one putting those tools to work, using them to find signals others miss and to move faster than the market. WHAT YOU'LL DO - Develop and execute innovative sourcing strategies, leveraging AI tools to surface, engage, and attract top technical talent at scale - Use AI to sharpen every stage of the funnel, from drafting compelling outreach to mapping talent pools and identifying non-obvious candidates - Manage the candidate experience throughout the recruitment process, providing timely feedback and updates - Build strong partnerships with hiring managers to understand technical requirements and team dynamics - Negotiate job offers and close candidates - Analyze recruiting metrics and refine processes, using AI to turn data into faster, smarter hiring decisions - Stay ahead of industry trends, emerging AI recruiting tools, and best practices in technical recruiting WHAT YOU BRING - 5+ years of full-cycle technical recruiting experience - Experience working at a high-growth startup - Proven track record of successfully placing top-tier technical talent - Hands-on experience using AI tools to enhance sourcing, screening, or candidate engagement - Fluency with varied Applicant Tracking Systems (Ashby preferred) - Strong analytical and data-driven decision-making skills - Proactive, flexible, with excellent communication and interpersonal skills - Ability to thrive in a fast-paced, rapidly changing environment

Location: Berlin, Germany; London, United Kingdom; Dublin, Ireland; Amsterdam, Netherlands Workplace: remote Yopeso has been developing a diverse range of software products, from large-scale applications to smaller solutions, for 20 years. With a growing team of over 300 employees across five locations, we are dedicated to fostering a culture of growth, transparency, and professionalism. At Yopeso, we value authenticity, curiosity, and ambition. These values drive us to build strong connections within our community and with our partners, ensuring trust, integrity, and transparency in all our business practices. We strive to maintain the highest professional standards and continuously challenge ourselves to develop high-quality, high-performance, and secure software solutions. Our approach is rooted in efficient collaboration among passionate professionals working in agile teams. Guided by curiosity and ambition, we strive to create products that are meaningful and impactful, while remaining true to our authentic selves. We’re looking for a commercial product-minded partner who can sell, design, and shape AI-first delivery outcomes - someone who thinks like a product leader, sells like a consulting partner, and closes like a top-tier enterprise dealmaker. This role sits at the intersection of enterprise consulting, product strategy, and AI-enabled delivery transformation. You will originate and close complex engagements where we don’t just sell capacity - we sell outcomes, fixed-price transformations, and AI-accelerated delivery models. Core Responsibilities Own enterprise deals end to end, from origination to signature Build pipeline with CIOs, CTOs, COOs, and Digital and Product leaders in AI, software delivery and engineering scale-out Turn business problems into productized, AI-augmented offers, shaping what we sell, not only how we deliver it Structure fixed-price, milestone-based and outcome-based deals tied to speed, cost and impact, moving clients away from T&M Advise executives on transformation and operating model redesign Build long-term partnerships across multiple stakeholders on long-cycle, multi-service engagements in Europe and international markets Work with the delivery and engineering leads from the start so what we sell matches what we can deliver What You Bring 10+ years in enterprise B2B environments (consulting, IT services, digital engineering, or AI transformation) Proven track record closing complex services / transformation deals Strong ability to shift from staff augmentation → outcome-based + productized services Deep experience in enterprise consulting-style selling Strong commercial instinct for pricing and structuring deals Ability to think in systems, operating models, and delivery economics Why This Role You are not managing a pipeline - you are creating commercial offerings You are not selling hours - you are selling outcomes and transformation impact You are not a vendor - you are a strategic partner in delivery design You will shape how AI is embedded into real enterprise delivery models You get full autonomy over commercial strategy and deal construction High-trust, low-politics environment with real execution depth behind you

Location: Paris, France Workplace: Hybrid We’re a team of experts pushing the limits of what’s possible, united by our common goal to unlock true freedom through digital ownership, making technology accessible for all. We believe in a world where users, creators and enterprises manage their value with ownership and freedom. Our curiosity drives us to innovate, empowering individuals on a global scale. We believe change is constant and our team moves forward as one, with a culture of problem-solving where every employee is empowered and supported to challenge tradition and create solutions. Our mission is simple: to make self-custody accessible and give people the keys to their own financial futures. If you want to make a true impact, we want you to join us at Ledger. At Ledger, we’re proud to be the global platform for digital assets and Web3, with over 20% of the world’s crypto assets secured through our Ledger devices. With our headquarters in Paris, and offices in Vierzon, Grenoble, Montpellier, London, Portland, Geneva, Zurich and Central Singapore, we have a team of around 600 professionals developing a variety of products and services to enable individuals and companies to securely buy, store, swap, grow and manage crypto assets – including the Ledger hardware wallets line with more than 7.5 millions units already sold in 200 countries. The team: You'll join the Data Team, responsible for turning data into actionable insights and recommendations for our consumer sales and marketing operations across all channels. What you’ll be doing: - Own consumer sales analytics end to end: Ledger.com http://Ledger.com, Amazon, wholesale and resellers, from sell-in to sell-out, with one consistent view of revenue, units and margin - Measure the true incremental impact of pricing, promotions and marketing campaigns with rigorous causal methods and experiments, and turn the results into budget recommendations for the Growth team - Develop and improve data models (dbt/Snowflake) across varied data sources (sales, sell-out, marketing, web analytics) with the support of the data engineering team; co-own data quality alerting - Own performance marketing measurement (attribution, ROAS, CAC), reconciling ad platforms, GA4 and internal sales data into a single source of truth - Build and maintain Tableau dashboards that give business teams a clear, reliable view of their performance - Model customer value (LTV, repurchase behavior, services attach) and feed it back into marketing ROI decisions - Work as part of an AI-augmented team: use LLM-based workflows and AI agents daily to automate analyses and accelerate delivery - Create and deliver presentations that turn complex analyses into clear recommendations for stakeholders up to ExCom level What we’re looking for: - Proven hands-on data science experience applied to business decisions: you have run causal inference studies (CausalImpact, difference-in-differences, synthetic control, geo-experiments) and/or built predictive models (LTV, repurchase, propensity) whose results changed a budget or pricing decision - Strong statistical rigor: comfortable with experiment design, confidence intervals and power, and able to clearly say when a result shows no detectable effect - 2 to 4 years of experience in data analytics, analytics engineering or data science - Strong SQL - dbt skills are a plus - Tableau skills are a strong plus - Data driven and business oriented; able to challenge stakeholders' methodology - Familiarity with marketing/web analytics data: GA4, ad platforms (Google Ads, Amazon Ads), affiliation networks are a strong plus At Ledger, we are dedicated to continually investing in our employees which is why we offer more than just salaries; we provide comprehensive compensation packages that include a wide range of benefits. Here are some of the benefits you can look forward to: - Flexible work options - Our hybrid policy allows employees to work from home up to 3 times per week - Health & Wellness support - Health and Life Insurance. - Financial growth opportunities - Employees can become shareholders in Ledger as well as other financial benefits depending on your country of work. - Commuter allowance - Ledger offers a commuter allowance to contribute to your preferred means of transportation. - Learning & Development - A comprehensive suite of training solutions providing a personalised learning experience for every employee. For regionally specific benefits, your Talent Acquisition contact will be able to provide you with more information.   We’re committed to building an inclusive hiring process. If you need any adjustments or accommodations, just let us know, we’ll do our best to support you.

About the Role We are looking for a Staff Compensation & Data Analyst (IC4) to serve as the subject matter expert at the intersection of quantitative analysis, compensation strategy, HR technology, and AI-assisted analytics. In this role, you will lead the architecture, modeling, and execution of our global compensation programs while leveraging modern AI platforms and scalable data pipelines. As a Staff level technical authority, you will drive business-critical compensation initiatives—from merit cycles and pay modeling to global equity strategy. You will partner with Finance, Legal, and Stock Administration on equity program design and governance, collaborate closely with Systems Engineering on Workday Compensation design and testing, utilize Carta for equity analytics, and leverage enterprise Generative AI platforms (Claude, ChatGPT) to accelerate data synthesis, narrative reporting, and predictive analytics. This is a full-time remote position based in Costa Rica. What You’ll Do Strategic Compensation Analytics & AI-Assisted Modeling — Architect Compensation Models: Build and maintain complex models for salary band creation, market pricing, geographic differentials, and merit/promotion budget allocation using quantitative techniques and advanced spreadsheet/coding frameworks. — AI-Augmented Data Analytics: Leverage enterprise AI platforms (e.g., Claude, ChatGPT) to conduct exploratory analysis on large workforce datasets, synthesize compensation survey benchmarks, evaluate market trends, and automate repetitive data transformation workflows. — Executive & Incentive Pay: Partner with leadership to model executive total compensation, short-term incentive (STI) performance metrics, and long-term incentive (LTI) grant strategies, utilizing AI tools to generate executive-level narrative summaries and scenario analyses. Strategic Equity Strategy & Global Program Design — Global Equity Design & Modeling: Partner with stakeholders to design and model strategic global equity frameworks, including refresh plan design, grant guidelines, vesting schedules, and budget allocations. — Stock Administration Partnership: Work in tandem with Stock Administration to establish seamless workflows for equity grant approvals, board consent materials, vest schedules, and data reconciliation between equity systems and core HRIS. — Equity Systems & Analytics (Carta): Utilize Carta and internal analytics tools to model wealth creation scenarios and executive equity usage to inform strategic compensation decisions. Workday Partnership & Data Infrastructure — Workday Compensation Design & Rollouts: Partner closely with Systems Engineering to co-design, test, administer, and execute Workday Compensation and Advanced Compensation workflows, eligibility rules, and global merit cycle rollouts. — Data Integration & Pipeline Development: Collaborate with Systems Engineering to ensure seamless data flows between Workday, payroll systems, external survey management platforms, and analytical databases. — Custom Reporting & BI: Design, build, and audit complex Workday custom reports, matrix reports, and calculated fields to deliver real-time total rewards insights to business leaders. — Use BigQuery for querying, analyzing, and transforming large-scale datasets. Enablement, Change Management & Training — Program Enablement & Change Management: Apply structured change management principles to drive adoption of total rewards initiatives, merit updates, pay transparency changes, and compensation program rollouts. — Communications & Collateral Creation: Develop comprehensive, clear, and engaging communications materials—including manager guidebooks, FAQ docs, slide decks, and video walk-throughs—tailored to various audiences. — Stakeholder Training: Design and facilitate targeted training sessions for managers, Talent Acquisition (TA), HR Business Partners (HRBPs), and employees to build compensation and equity literacy. Skills We’re Looking for Experience — 6+ years of progressive experience in compensation analysis, equity strategy, or People Analytics, with demonstrable mastery at a senior/principal individual contributor level. — Proven track record of designing and modeling global compensation and equity programs in partnership with Finance in a fast-paced or scaling technology environment. — Demonstrated experience with change management and driving enablement programs, including producing training collateral and leading educational workshops for cross-functional teams. Technical & System Proficiency — Workday Compensation: Hands-on experience working directly with Workday Core Compensation and Advanced Compensation modules is required. — Carta & Equity Management: Hands-on experience or strong familiarity with Carta for cap table analytics, grant administration alignment, and LTI modeling is strongly preferred. — AI Platforms & Prompt Engineering: Experience applying Large Language Model (LLM) tools such as Claude, ChatGPT, or Microsoft Copilot to data analysis, code generation (SQL/Python/Excel formulas), or report generation is strongly preferred. — Advanced Analytics & BI: Advanced proficiency in Excel, Google Suite (VBA/macros, dynamic arrays, complex formulas) is required. — Experience with BI and BigQuery tools for data modeling is a strong plus. Core Competencies — Cross-Functional & Executive Alignment: Exceptional ability to build strong cross-functional partnerships across Finance, Legal, Stock Admin, and Systems Engineering to deliver complex total rewards solutions. — Quantitative Mastery: Deep familiarity with statistical techniques (e.g., regression analysis, distribution metrics) applied to compensation and equity datasets. — Business & Legal Acumen: Solid understanding of core compensation and equity design concepts. Preferred Education & Certifications — Bachelor’s or Master’s degree in Data Analytics, Finance, Human Resources, or a related field. — CCP (Certified Compensation Professional) is a plus. Perks and Benefits — 100% employer-paid medical insurance — Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. — RSU stock grants — Professional development and training opportunities — Company virtual happy hours, free food, and fun team-building activities — Monthly cell phone stipend — Access to an innovative mental health support platform offering personalized care and resources such as therapy, coaching, and mindfulness exercises for employees and dependents. This is a full-time remote position based in Costa Rica.

Location: CAN: Vancouver (333 Seymour St) Workplace: Hybrid The role and its impact As our Data Science Manager, you will look after a small team of 3 Data Scientists within Marketing Data Science, and you will stay close to the data yourself. You will be the people manager for data scientists based in Australia, the UK and South Africa, while personally owning marketing measurement for North America, including campaign and event measurement, churn analysis and funnel effectiveness. Your work shapes how quickly and how confidently marketing decisions get made at Xero. You will bring AI-driven insight generation and agentic analytics into everyday delivery, so the pod spends less time assembling reports and more time on the questions that move the business. You will also set the operating rhythm that helps a team spread across timezones prioritise well, share the load and keep delivery sustainable, and you will present complex analysis simply so that insight turns into decisions people act on. The team and how they connect Marketing Data Science helps Xero deliver digital, customer and marketing outcomes through insight that is increasingly AI-augmented. The wider team sits across Australia, New Zealand, the UK, South Africa and North America, so async ways of working, shared documentation and rotating meeting times are part of everyday life. You will work alongside other Data Science leads and partner closely with regional marketing teams, who rely on the pod as a thinking partner rather than a reporting service. Initially, you will focus on ➤ Working across SQL, Python, BigQuery, Google Analytics, Mixpanel and GTM, with dashboards and visualisation tools that people genuinely use. ➤ Campaign and event measurement for North America, so marketing teams can see what is working and where to invest next. ➤ Churn analysis and funnel effectiveness work that shapes acquisition, retention, engagement and personalisation. ➤ Embedding AI-driven insight generation and agentic analytics into the pod's day to day delivery, reducing time to insight across regions. Where and how you can work This role is based in Vancouver, where our office is set up for collaboration, focus work and connection, with meeting rooms, quiet spaces and desks ready whenever you drop in. We work flexibly and take a hybrid approach, and Boost Days are our weekly in-office days with catered meals and activities that support local small businesses. Here are some of the things we are looking for ➤ You will bring practical marketing measurement experience across campaigns, events, churn and funnel effectiveness, and you will Go Further by turning findings into recommendations people can act on. ➤ Working knowledge of SQL, solid Python, and a strong foundation in statistics, experimentation and causal thinking, with familiarity with Google Analytics, Mixpanel and BigQuery, form part of your everyday toolkit. ➤ You will Go Fast by using AI-driven and agentic analytics to cut the time it takes to get from question to insight. ➤ Coaching people you rarely share a timezone with comes naturally to you, and you will Go Together by creating rhythms that keep everyone connected and supported. ➤ Your communication flexes easily between technical and non-technical audiences, and between local and global ones. ➤ Comfort with ambiguity and loose direction will help you Go Bold, shaping what the team looks at next rather than waiting for the brief. Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team. Compensation & Total Rewards At Xero, we value the impact and skills you bring to the team. We believe in a Total Package philosophy - ensuring your value is recognized through a holistic lens that includes base salary, performance incentives, and world-class benefits. The expected base salary range for this role is $140,000 - $190,000 CAD. Individual pay is determined by various factors, including geography, level of experience, and the specific skills you bring to the role. In addition to base pay, Xero’s roles are eligible for the following forms of variable compensation: - Variable Pay: Permanent employees are eligible to participate in our annual bonus and equity (RSU) programs. You may also be eligible for performance-based cash or equity (RSUs) incentives depending on your role level, and company performance. - Comprehensive Benefits: World-class health, wellness, and retirement programs. Xero Perks https://careers.xero.com/inside-xero/benefits-wellbeing/ including Wellbeing days, generous leave, and dedicated professional development budgets. This is a posting for an existing vacancy. Xero uses AI to help screen applications based on job-related qualifications. These tools assist our recruiters but do not make automated hiring decisions. A human recruiter reviews all candidates before any hiring action is taken.

Location: Lima, Peru Workplace: hybrid Are you ready to join our digital revolution journey?    At Aleph, we’re not just part of the digital advertising landscape—we’re shaping its future. Representing the world’s leading platforms, including TikTok, Amazon, Google, and nearly 55 others, we operate in 130+ markets across new and existing geographies.   Our mission is to empower advertisers and brands to unlock the full potential of these platforms' advertising capabilities. By fostering long-lasting partnerships, we create limitless opportunities for people and businesses to advertise effectively at both local and global levels.   With a presence spanning continents, Aleph offers you the chance to be part of a fast-growing, innovative team where your work makes a direct impact. If you’re ambitious, forward-thinking, and eager to thrive in a dynamic, global environment, Aleph is the perfect place to build your career. Aleph is seeking a strategic, high-energy Client Partner to represent Spotify in Peru. We are not just looking for a sales professional — we are looking for a true music and culture enthusiast who understands how music, podcasts, and digital audio shape the way people feel, think, and buy. In this role, you will be the bridge between Spotify's world-class advertising platform and the peruvian advertising ecosystem. You will drive revenue by showing brands how to authentically connect with millions of engaged listeners — people who choose to be there. But we are also entering a new era of sales — one where individual productivity is amplified by AI in ways that were unthinkable two years ago. A great salesperson with the right mindset and tools will do the work of three. That is the profile we are building. What you'll do Revenue Growth: Own and be accountable for quarterly and yearly revenue goals, pipeline management, and growth targets for the peruvian market. Agency Relationships: Develop and maintain excellent relationships with key media agencies, positioning Spotify as an invaluable strategic partner — not just a vendor. Multi-stakeholder Selling: Work across agency departments — buying, strategy, comms planning, audio, digital, branded content, and innovation — to build holistic solutions. Consultative Selling: Understand clients' business objectives and challenges deeply. Respond with tailored advertising solutions that genuinely move their business forward. Cultural Storytelling: Create persuasive narratives that translate Spotify's audience data and audio formats into compelling business growth stories. Make clients feel the platform, not just see the numbers. Portfolio Selling: Sell the full Spotify ecosystem — audio, video, display, branded experiences, and programmatic — with fluency and confidence. AI-Augmented Workflow: Use AI tools to prepare client briefs, analyze pipeline signals, identify growth opportunities, and arrive to every client interaction more prepared than anyone else in the room. Campaign Excellence: Partner with internal teams to ensure flawless execution, delivering a top-tier service experience that keeps clients coming back. Industry Presence: Represent Spotify and Aleph at key industry events in Peru, building our profile and driving cultural relevance in the local market. The profile we're building 🎯  Genuine Tech Curiosity: When a new tool appears, you adopt it, test it, and integrate it into your workflow. You don't just tolerate it 📊  Analytical Thinking: You read data, interpret pipeline signals, and make decisions based on evidence — not just gut feeling. 🤝  Orchestration Ability: AI does the research, prepares the briefs, suggests next steps. You decide, personalize, and build the relationship. ⚡  Real Adaptability: The process will keep changing. You don't just accept change — you anticipate it and move first. Who you are Required 4+ years of experience in advertising sales, business development, or client-facing roles within the digital media industry. Deep understanding of the digital advertising ecosystem: audio, display, video, and programmatic. Proven track record of managing client relationships, driving revenue growth, and exceeding sales targets in the Argentine or LATAM market. Strong agency and brand relationships across the peruviann digital advertising community. Comfort with data: you build reports, interpret dashboards, and translate performance into client-facing insights (Salesforce, Google Slides/Sheets). Genuine curiosity about AI tools — and evidence you have already started integrating them into your daily workflow. Exceptional storytelling and presentation skills; you can hold a room at C-suite level. Full professional proficiency in Spanish and English. Preferred Experience with self-serve advertising platforms or programmatic auction dynamics. Hands-on experience with AI-assisted sales tools: CRM automation, brief generators, prospecting platforms. Passion for music, audio culture, or the creator economy: you don’t just sell Spotify, you get it. Why this role Spotify reaches over 600 million users globally, with a deeply engaged audience across Latin America. At Aleph, you will work at the intersection of one of the world’s most iconic brands and one of the most dynamic ad markets in the region. You will have the tools, the backing, and the mandate to build something meaningful. And if you are someone who is excited about where AI is taking sales — you are going to like it here. Why Join Us?   Aleph is a place of many cultures, perspectives, and talents. We support each other, creating an environment of giving and receiving. We value partnership and communication because we believe it takes a group of people to achieve great things. We are energized by our ever-changing industry, our curiosity keeps us learning and seeking out new opportunities.     We stay flexible and adaptable, and believe in moving with the speed of change. We encourage everyone to strive for more, providing our internal talent with growth opportunities and the ability to learn together.    #ALEPH

Location: United States Workplace: Remote At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 ROLE OVERVIEW As the Engineering Manager - Developer Productivity, you will lead a high-impact team focused on improving developer workflows, reducing friction, and enhancing the overall engineering experience. You’ll collaborate across teams to identify bottlenecks, implement scalable solutions, and foster a culture of continuous improvement. Your work will directly influence the speed, quality, and happiness of our engineering organization. RESPONSIBILITIES: 1. Infrastructure & Tooling - Oversee the development and maintenance of CI/CD pipelines, build systems, and internal tools, including AI-powered internal tooling and agents. - Ensure our developer infrastructure is scalable, reliable, and secure. - Evaluate and implement new AI-native technologies, considering token economics, compute costs, and AI spend alongside productivity gains. 2. Team Leadership & AI People Development - Build, mentor, and lead a team of engineers focused on developer productivity. - Foster a culture of collaboration, innovation, and accountability. - Set clear goals and provide regular feedback to drive team performance in partnership with your Director. - Assess each report's AI fluency level (Assisted, Augmented, Native) and set individual growth targets. - Include AI fluency as a coaching topic in 1:1s; pair less AI-fluent engineers with AI-native peers for knowledge transfer. - Create space for AI experimentation: dedicated time, safe-to-fail projects, and learning sprints. - Recognize and reward AI-driven improvements in performance conversations. 3. Collaboration & Communication - Work closely with engineering, product, and design teams to align priorities. - Advocate for developer needs and ensure alignment with company goals. - Communicate capabilities and limitations to non-technical stakeholders. - Write specs, rules files, and documentation that make AI more effective for the whole team. 4. Metrics & Continuous Improvement - Define and track key metrics to measure developer productivity, satisfaction, and AI-driven productivity gains. - Use data-driven insights to prioritize initiatives and demonstrate impact. - Track team-level AI adoption metrics and report on AI-augmented workflow effectiveness. - Continuously iterate on processes to improve engineering velocity and quality. 5. AI-Native Developer Experience - Identify and eliminate pain points in the development lifecycle, with a focus on AI-augmented workflows. - Drive adoption of AI coding tools (Cursor, Brain, copilots) as the default across engineering teams. - Ensure every team member has access to and is actively using AI tools; track adoption and remove blockers (tooling, access, training). - Partner with engineering teams to design AI-augmented development workflows that multiply team velocity. - Coach engineers on the Builder model: planning, delegating to agents, reviewing with judgment, and shipping with velocity. 6. AI Governance & Risk - Ensure the team follows AI usage guidelines (data handling, code review, IP considerations). - Flag risks from AI-generated code (security, correctness, licensing) proactively. - Maintain visibility into what AI tools the team is using and how they're being used. - Run regular retros and feedback loops on AI-related outcomes. - Review AI-generated outputs alongside the team to build shared quality standards.   QUALIFICATIONS: - Experience: 7+ years in software engineering, with 3+ years in a leadership role managing engineering teams. - Technical Expertise: Strong understanding of developer tools, CI/CD pipelines, and modern software development practices. Hands-on experience with AI coding tools (Cursor, Claude Code, Codex, or similar) and an understanding of how to integrate them into engineering workflows. - AI Fluency: Demonstrated ability to operate at the AI Augmented level or above: you personally use AI tools daily and have coached others on effective AI-assisted development. Familiar with prompt engineering, context engineering, and token economics. - Builder Mindset: Comfortable with the 80/20 model (planning and review vs. direct execution). Experience orchestrating work across humans and AI agents, with strong judgment on when to delegate to AI vs. when human decision-making is critical. - Leadership Skills: Proven ability to build and lead high-performing teams. Experience assessing and developing AI fluency across a team. - Problem-Solving: Track record of identifying inefficiencies and implementing scalable solutions, including building or adopting AI-powered tooling and eval frameworks. - Governance Awareness: Understanding of AI & non-AI related risks (security, correctness, licensing, data handling) and experience establishing quality standards for outputs. - Collaboration: Exceptional communication and stakeholder management skills. Ability to translate AI capabilities and limitations to non-technical audiences. - Mindset: Passion for improving developer experiences and driving organizational impact through AI-native practices with a customer first mentality.   WHY JOIN US? - Impactful Work: Shape the future of developer productivity at a fast-growing, AI-native SaaS company. - AI-Native Culture: Work in an organization that treats AI as a core competency, not a nice-to-have, with industry-leading investment in AI tooling, agents, and engineering workflows. - Builder Operating Model: Join a team that's redefining how software gets built: orchestrating AI agents, shipping with compound engineering, and measuring what matters. - Growth Opportunities: Advance your career on a clear AI-native career pathway with structured fluency levels and development support. - Flexible Environment: Enjoy the freedom of remote work with a global team. Equal Opportunity Employer ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin. Privacy Notice ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. https://clickup.com/careers-terms/candidate-privacy-notice If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice https://t333.s.clickup-attachments-stg.com/t333/d9a53ce2-6d2c-48cd-84b1-ed4e525f9613/Philippine%20Data%20Privacy%20Notice_2024.pdf?view=open for further details. Visa Sponsorship Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions. Fraud Alert ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com. AI Processing Notice ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.

Location: Anywhere in France, Belgium, Spain HEALTH CAN’T WAIT. Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t. Alan exists to end the wait. Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way. So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience. We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR. Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond. ⭐ THE ENGINEERING TEAM ⭐ In our engineering team, we build the infrastructure, interfaces, and applications to provide first-class service to our members, health professionals, and even ourselves! Being an engineer at Alan means joining a team of talented, committed and passionate engineers, with a lot of interactions. We move fast, with a lot of ownership, and are proud to tackle big problems! Our process is very simple: those who make product decisions are the same ones who build them. Want to know more? Read this article https://medium.com/alan/a-new-iteration-of-our-engineering-career-path-at-alan-f46f7b229b2d on our Engineering career path. 🛠️ THE STACK Python/Flask, Typescript, React, React Native on the coding side. AWS, GCP, Kubernetes, PostgreSQL, Redis, Terraform/Terramate, Datadog, Cloudflare, GitHub Actions on the platform side, all in a monorepo. We deploy daily and believe in distributed ownership - you build it, you own it. 🤖 THE INFRA CREW - WITHIN THE TECH FOUNDATIONS AREA 🎯 Mission: - Tech Foundations - enables product crews and creates the environment to thrive, combining world-class infrastructure, intuitive developer experience, exquisite operational excellence, and built-in security to make shipping exceptional products effortless. - Infra - is one of its crews. Its mission: operate and evolve the foundations Alan runs on (multi-cloud infrastructure, data platforms, observability, and the operational practices around them) so that product crews ship safely and quickly, members never feel the platform underneath, and the business can expand to new countries without re-inventing how we run. 🔭 Scope: 1. Cloud foundations & multi-cloud architecture: own and evolve Alan’s cloud footprint, Infrastructure-as-Code stack (Terraform, Terramate), and the architectural decisions enabling international expansion. 2. Data & application platforms: operate and evolve the foundations product crews build on: PostgreSQL/Aurora, our events pipeline, async workloads, and database migration tooling, without leaking complexity into product code. 3. Reliability, observability & on-call: own Alan's platform uptime and latency SLOs end-to-end. Evolve our observability stack (Datadog), the incident response process (Incident.io http://Incident.io), and the shared on-call rotation across the area to keep it sustainable as we scale. 4. Governance & compliance enablement and FinOps: own the cross-cutting concerns no single domain holds, infrastructure cost (FinOps), IAM posture, backup and disaster recovery, exit strategy, with automation and reporting that scales beyond the crew. 5. AI-augmented infrastructure operations: make AI assistants a first-class citizen for incident investigation, runbook execution, and toil reduction, so engineers spend their time on high-leverage work. 👀 Focus for 2026: In 2026, we're growing the team significantly to step up impact across four bets: - Multi-cloud expansion: revisit our cloud strategy as we go international, and launch new geographies. - Decoupling for scale: evolve service architecture to carry Alan 2.0 from 1M members today to 10M. - Operational excellence: raise the quality bar end-to-end by overhauling observability, on-call, and cost management practices. - AI-augmented infra ops: make AI assistants a first-class part of investigation, troubleshooting, and toil reduction, so engineers spend time where leverage is highest. ⭐ IS IT YOU WE’RE LOOKING FOR? EXPERIENCE WE VALUE - 3+ years in Platform engineering, DevOps, Site reliability engineering or equivalent roles. - You have strong experience with cloud platforms (especially AWS or GCP). - You're comfortable writing code for automation and tooling (e.g. API, internal command line, developer portal) and willing to work in Python/Typescript (but you don’t need to have experience with those 2 languages!). - You have touched observability, monitoring, alerting or incident management tools and practices. - You are able to design and implement robust infrastructure systems with a focus on reliability and observability. - You can maintain our uptime targets while optimizing infrastructure costs. - You’ve built and maintained internal or external tooling (e.g. API, web interface, internal command line, configuration as code, etc) for other engineers. MINDSET WE VALUE - You treat infrastructure and platform engineering as product work: engineers & members are your customers, and infrastructure should feel effortless. - You’re hands-on: writing code is the bulk of the job (Python, TypeScript, Terraform). You ship what you write to production yourself, then operate it: rollouts, alerting, on-call, incident response. - You're an enabler: you measure your impact by how fast product crews ship features without ever consulting you. The harder you've worked, the less they have to engage you. - You build reusable patterns: guardrails, libraries, and reliable-by-default abstractions that prevent outages and runaway cost at scale. - You’re fluent in English (French is not required). For this opportunity, we are aiming to hire above C1 level range https://medium.com/alan/a-new-iteration-of-our-engineering-career-path-at-alan-f46f7b229b2d. But above all, we are looking for high potential and curiosity: make sure to show us this when you apply! Everything else is a bonus. 🌍 HOW WE WORK - Location: You must be legally eligible to work in France, Belgium, or Spain. - Remote work: We offer remote work flexibility, but we value in-person collaboration 🎯 IMPORTANT NOTE: WE HIRE PEOPLE, NOT ROLES. If you're excited about this opportunity but don't check every box, we'd love to hear from you. Everyone, no matter how underrepresented, should feel free to apply, as it can only bring learnings or success. If you identify yourself as a woman: Did you know that research shows women often apply only when meeting 100% of requirements? Remember, this is just a guide, not a checklist. We'll be thrilled to receive your application! 🔖 Check out our About Alan https://alan.com/about and Career https://alan.com/careers pages, as well as our Medium https://medium.com/alan, blog https://blog.alan.com/ and Glassdoor page https://www.glassdoor.com/Overview/Working-at-Alan-EI_IE1696043.11,15.htm for more info. YOU WANT TO KNOW MORE ABOUT ALAN? - 🙌 Perks & Benefits https://alan.com/en/careers/a/salary-equity: Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers. - 🤘 A strong culture https://alan.com/en/about/a/leadership-principles: People joining Alan are often surprised and delighted by our innovative working method. We have a set of cultural values that guide our approach to work #LI-DNP

Location: Anywhere in France, Belgium, Spain HEALTH CAN’T WAIT. Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t. Alan exists to end the wait. Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way. So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience. We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR. Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond. ⭐ THE ENGINEERING TEAM ⭐ In our engineering team, we build the infrastructure, interfaces, and applications to provide first-class service to our members, health professionals, and even ourselves! Being an engineer at Alan means joining a team of talented, committed and passionate engineers, with a lot of interactions. We move fast, with a lot of ownership, and are proud to tackle big problems! Our process is very simple: those who make product decisions are the same ones who build them. We are also the stewards of our members' most sensitive data, and building privacy in by design is core engineering work for us, not an afterthought. Want to know more? Read this article https://blog.alan.com/tech-et-produit/engineering-organisation-at-alan if you want to discover how life as an Engineer at Alan and this article https://medium.com/alan/engineering-career-path-at-alan-e5de5c2e740c on our Engineering career path. 🛠️ THE STACK Python/Flask, Typescript, React on the coding side. AWS, GCP, Kubernetes, PostgreSQL, Redis, Terraform/Terramate, Datadog, Cloudflare, GitHub Actions on the platform side, all in a monorepo. We deploy daily and believe in distributed ownership - you build it, you own it. 🤖 THE TECH FOUNDATIONS AREA 🎯 Mission: Tech Foundations enables product crews and creates the environment to thrive—combining world-class infrastructure, intuitive developer experience, exquisite operational excellence, and built-in security to make shipping exceptional products effortless. 🔭 Scope: 1. Infrastructure enablement for product crews (e.g. hosting improvements https://www.qovery.com/case-study/alan-case-study/, CI/CD https://medium.com/alan/moving-our-ci-cd-to-github-actions-40df3f7e4733, scalability, multi-cloud architecture) 2. Security and compliance facilitation (e.g. authentication, encryption, threat protection) 3. Developer productivity enhancements (e.g. local environment setup https://medium.com/alan/our-journey-from-react-native-to-expo-for-mobile-app-development-at-alan-%EF%B8%8F-3b1569e8ab7c, monorepo tooling https://medium.com/alan/building-debug-tooling-for-engineers-and-support-teams-alike-34cab315b9cc, observability, tech stack evolution, accessibility audits) 4. AI-assisted engineering enablement (e.g. agentic development, code assistants, MCP servers) 👀 Focus for 2026: In 2026, we will grow the team significantly to further increase our impact. We want to expand our cloud footprint with a revisited multi-cloud strategy as we expand internationally, while we’re elevating the quality bar, from infrastructure to code foundations (backend/frontend/mobile). We are also evolving our AI-augmented development, by putting AI code assistants as a first-class citizen for everyone, including non-engineers. Ultimately we have massive ambitions around our Security stack and posture with enhanced tools and processes to protect our developers and users. ⭐ IS IT YOU WE’RE LOOKING FOR? EXPERIENCE WE VALUE - 3+ years in full-stack software engineering roles - Experience building internal tools, frameworks, CLIs, or libraries that improve developer workflows - Experience fixing scalability issues and/or bottleneck in the software development lifecycle, from writing code to deploying to production MINDSET WE VALUE - You think in terms of developer experience: engineers are your customers - You are collaborative, humble, and motivated by enabling others - You simplify complexity with elegant abstractions and maintainable code - You're excited about AI and automation in engineering workflows - You are fluent in English (no French required) - But above all, we are looking for high potential and curiosity: make sure to show us this when you apply! Everything else is a bonus. 🌍 HOW WE WORK - Location: You must be legally eligible to work in France, Belgium, or Spain. - Remote work: We offer remote work flexibility, but we value in-person collaboration 🎯 IMPORTANT NOTE: WE HIRE PEOPLE, NOT ROLES. If you're excited about this opportunity but don't check every box, we'd love to hear from you. Everyone, no matter how underrepresented, should feel free to apply, as it can only bring learnings or success. If you identify yourself as a woman: Did you know that research shows women often apply only when meeting 100% of requirements? Remember, this is just a guide, not a checklist. We'll be thrilled to receive your application! 🔖 Check out our About Alan https://alan.com/about and Career https://alan.com/careers pages, as well as our Medium https://medium.com/alan, blog https://blog.alan.com/ and Glassdoor page https://www.glassdoor.com/Overview/Working-at-Alan-EI_IE1696043.11,15.htm for more info. YOU WANT TO KNOW MORE ABOUT ALAN? - 🙌 Perks & Benefits https://alan.com/en/careers/a/salary-equity: Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers. - 🤘 A strong culture https://alan.com/en/about/a/leadership-principles: People joining Alan are often surprised and delighted by our innovative working method. We have a set of cultural values that guide our approach to work 🔄 A quick note about the process Note: While you're applying for a specific area, you may join a different engineering team based on where we think you'll have the most impact. Check out descriptions of other areas here https://www.notion.so/Software-Engineering-Areas-Alan-2c61426e8be7805bacd2cdbc08c32640?pvs=21.

Location: London, UK Workplace: OnSite ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE At Ramp, people are the single biggest lever on our trajectory, and the bar for who joins this team gets higher every quarter, not lower. We are hiring our first dedicated Recruiter for GTM Expansion, based in London: someone who can map a market, identify the operators who will outperform their peers and run a full-cycle process that wins them. The UK is the immediate mandate. You will partner with local and US-based leaders to turn an ambitious growth plan into a real commercial team, from first conversation through offer close. You will also help us build the recruiting approach, market knowledge and candidate networks that support Ramp's expansion into new GTM markets over time. The recruiters who do this best combine craft on the front end, research, identification and calibration, with execution on the back end, closing, candidate experience and pipeline discipline. We are looking for both. WHAT YOU'LL DO • Own full-cycle recruiting for priority GTM Expansion hiring, starting with UK roles across Sales, Solutions Consulting, Partnerships and Customer Success. • Build a sharp point of view on the UK market and future expansion markets: the companies producing strong talent, the people who outperform their peers and the communities that matter. • Use research, data and AI as part of your everyday craft to identify and qualify exceptional candidates. We expect a written market point of view, not just a slate of profiles. • Run thoughtful, personalised outreach grounded in the candidate's actual background, commercial motion or recent work. We care more about quality, replies and conversion than send volume. • Partner with GTM leaders to turn ambitious hiring plans into a clear profile, credible process and realistic compensation strategy. Surface hard market truth early and push back constructively when needed. • Own the candidate experience from first conversation through offer close: fast follow-up, clear communication, strong process discipline and a tailored closing plan for the candidates we most want. • Build real presence for Ramp in London through the right relationships, referrals and targeted community activity. The point is pipeline and credibility, not events for their own sake. • Work tightly with the wider GTM Recruiting team on calibration, sourcing support, insight and operating rhythm, while bringing strong local judgment. • Help improve how Ramp recruits for expansion by capturing what works in the UK and applying it thoughtfully as we enter new markets. WHAT YOU NEED • 5+ years of full-cycle GTM or Sales recruiting experience, ideally in a high-growth technology company where quality and pace both mattered. • Strong knowledge of the UK technology talent market and a credible local network, or clear evidence that you can build one quickly. • A track record of finding and closing exceptional people, not simply running inherited processes. You can point to candidates you identified who became strong hires. • Excellent sourcing and research instincts. You can explain why someone is genuinely differentiated, not only that they have the right title at the right company. • Experience hiring across several GTM functions, such as AEs, Sales Leadership, Solutions Consulting, Partnerships, Customer Success or RevOps. • Strong candidate-closing judgment. You listen closely, understand what each candidate is weighing and can build conviction against serious alternatives. • The confidence to influence senior leaders, challenge a mis-scoped search and make a hiring process better without creating unnecessary friction. • Comfort using data to understand funnel health, diagnose problems and hold an honest conversation about what needs to change. • High ownership. You book the next step while you have the candidate, chase what is stuck and do not wait for a detailed brief to get useful work moving. • Specific, sharp written communication. Your outreach and candidate updates should never feel template-driven. NICE TO HAVE • Experience recruiting for a fintech, SaaS, infrastructure or similarly complex B2B product. • Experience joining a company as the first recruiter in a new geography, or helping to scale an international business. • Experience building an AI-augmented recruiting research workflow. WHY THIS ROLE You will have unusual ownership over one of Ramp's most important growth priorities, with the support of an established Talent team rather than the isolation of a one-person recruiting function. The work is practical and high impact: build the UK commercial team, help leaders make better hiring decisions and raise the bar for how Ramp recruits as it enters new markets. BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: San Francisco, CA | New York City, NY 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 is seeking a Software Engineer to help build the technical foundation for how Anthropic educates customers and enterprises at scale, and to shape what that even means when AI is the delivery mechanism, not just the subject being taught. Your work will define how millions of people experience learning about Claude: how content is served and adapted in real time, how assessments respond to what a learner actually understands, how credentialing systems verify genuine competence rather than course completion, and how the entire platform evolves as fast as the product it teaches. You'll build the infrastructure that makes AI-native education real — not as a concept, but as a working system that people interact with every day. You’ll own the technical vision for our AI-driven educational experience: the platform layer, enterprise readiness features, the data architecture, the AI-augmented pipelines, the integrations, and the delivery systems. You'll work with a handful of highly technical educational collaborators to own the technical vision and execution for how Anthropic’s education team delivers educational experiences at scale, and you'll build the AI-augmented pipelines and platform capabilities that let a small team of educators operate with reach and responsiveness that would otherwise require an organization ten times larger. This is an engineering role for someone who genuinely cares about how people learn. You'll make platform decisions that are deeply educational, and you need the judgment to make those decisions well, not just implement someone else's spec. You'll interface closely with Anthropic's security, infrastructure, and data teams, and you'll partner with trainers and educators on the GTM, devrel, and education teams who will be your primary stakeholders. Responsibilities Architect and own Anthropic’s enterprise ready education platform and infrastructure — authentication/SSO, learner data models, content delivery, credentialing, and progress tracking — designed for scale, AI-forward features, and reliability from day one Own the technical vision for how Anthropic delivers AI-driven educational experiences and shaping what's possible, not just building what's requested. You’ll determine what to build, what to extend, and what to replace as needs evolve Build AI-augmented pipelines for content generation, real-time adaptation, assessment delivery, and quality assurance — working closely with the education team to understand what these systems need to do pedagogically Design platform capabilities that enable genuinely new kinds of empowering learning experiences — adaptive paths, competency-based progression, AI-evaluated demonstrations of skill — not just digital versions of traditional courses Interface with Anthropic's security, infrastructure, and data teams to ensure education systems meet organizational standards and integrate cleanly with existing architecture Build platform abstractions that let non-engineers on the team configure, extend, and experiment with educational experiences without engineering bottlenecks Make product-level decisions about how the platform works — you're shaping what the learning experience is, not just serving it You may be a good fit if you have 7+ years of software engineering experience, with demonstrated ability to take a platform from zero to production at scale Genuine passion for education — you think about how people learn, you have opinions about what educational technology should look like in an AI-native world, and you want to build it A strong eye for quality educational content, with a sense of the complex systems that produce it Full-stack engineering skills with particular strength in backend systems: databases, APIs, authentication, reliability, and infrastructure Experience building and operating platforms that serve many concurrent users reliably Comfort with ambiguity and ownership: you'll need to translate pedagogical intent into technical architecture without heavy specification Experience interfacing with security and infrastructure teams to meet organizational requirements while maintaining development velocity A working practice of using AI tools in your own engineering workflows — and genuine curiosity about how AI fundamentally changes what educational platforms can be Strong candidates may also have Experience building or significantly contributing to learning platforms, credentialing systems, or educational technology products Background in or exposure to learning science, instructional design, or educational research Experience with SSO/identity (SAML, OAuth), badging standards (Open Badges), or LTI integrations Familiarity with building systems that incorporate LLM capabilities as core infrastructure Prior work at a high-growth company where you built platform infrastructure that other teams depended on Experience designing systems that non-technical users configure and operate 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: $320,000 — $405,000 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. 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: Oakland, California, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran is building data pipelines to power the modern data stack for thousands of companies. Fivetran is seeking an exceptional Principal Software Engineer to lead our AI adoption initiative across the Engineering organization. This unique leadership role combines deep technical expertise with strategic business acumen and change management capabilities. You will be the driving force behind transforming our 500+ engineers into “Bionic Engineers" while implementing Virtual Engineer capabilities to achieve 10% productivity gains in FY26 and 20% in FY27. As the single point of contact for AI initiatives in Engineering, you will orchestrate an engineering-wide transformation that makes AI-driven productivity a core engineering competency. This role requires someone who can navigate the rapidly evolving AI landscape, drive adoption across diverse teams, and deliver measurable business impact. This is a full-time position based out of our Oakland office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team. Technologies You’ll Use Java, Postgres, Oracle, SQL Server, MySQL, Kubernetes, Docker, AWS, GCP, CircleCI Google Gemini, Anthropic Claude, Claude Code, ChatGPT, OpenAI Codex, GitHub Copilot What You’ll Do Adoption Management & Leadership (40%) Drive Cultural Transformation: Lead the evolution from AI-curious to AI-native engineering practices across all teams Champion Change Management: Convert skeptics into advocates through data-driven demonstrations of value and hands-on enablement Measure & Accelerate Adoption: Establish KPIs, track progress from the current 50% to 100% adoption, and implement interventions to accelerate uptake Build Communities of Practice: Create forums for knowledge sharing, celebrate wins, and foster peer-to-peer learning Technical Leadership (35%) Tool Evaluation & Selection: Continuously assess emerging AI tools (Copilot, Claude Code, Codex, etc.) and make data-driven recommendations Architecture & Integration: Design technical frameworks for integrating AI tools into existing development workflows and CI/CD pipelines Virtual Engineer Implementation: Lead proof-of-concepts for coding agents in standardized tasks (Lite Connectors via CoIL, code refactoring, test generation) Security & Compliance: Partner with Security and Legal teams to ensure AI tool usage protects IP and meets compliance requirements Technical Standards: Establish best practices, guidelines, and guardrails for AI-assisted development Performance Optimization: Analyze and optimize the technical performance and cost-efficiency of AI tool deployments Innovation Pipeline: Maintain awareness of cutting-edge AI developments and identify opportunities for competitive advantage Business Leadership (25%) Strategic Planning: Develop and execute the three-phase AI adoption roadmap (Explore & Learn → Enable, Train & Adopt → Core Competency) Budget Management: Oversee $1M+ annual tool budget, optimize spend across 500+ team members, and demonstrate ROI Stakeholder Management: Build relationships with the CEO, Engineering Leadership, Finance, L&D, Legal, and Security teams Business Case Development: Quantify productivity gains, cost savings, and strategic value of AI initiatives Vendor Relations: Negotiate enterprise contracts, manage vendor relationships, and influence product roadmaps Cross-functional Collaboration: Work with Program Managers, Engineering Managers, and other non-IC roles to extend AI benefits Competitive Intelligence: Monitor industry trends and ensure Fivetran maintains a leadership position in AI-augmented engineering Enable Success at Scale: Design and implement adoption playbooks that work across diverse teams with varying technical backgrounds Remove Barriers: Identify and systematically eliminate technical, cultural, and process obstacles to AI adoption Communicate Impact: Regularly present adoption metrics, success stories, and ROI to engineering leadership and executives Skills We’re Looking For Technical Expertise 10+ years of software engineering experience with proven expertise across multiple programming languages and paradigms Deep hands-on experience with AI-powered development tools (GitHub Copilot, ChatGPT, Claude, etc.) Strong understanding of LLMs, prompt engineering, and AI model capabilities/limitations Experience with CI/CD, DevOps practices, and modern software development workflows Track record of evaluating and implementing new technologies at scale ​ Leadership Experience Proven ability to drive technical initiatives across large engineering organizations (500+ people) Experience leading without authority and influencing senior technical leaders Track record of successful change management in engineering contexts Demonstrated ability to convert technical innovations into business value Experience presenting to C-level executives and board members Adoption & Enablement Skills Experience driving tool adoption across diverse technical teams Strong communication skills with the ability to create compelling narratives for different audiences Track record of building training programs and enablement materials Data-driven approach to measuring and improving adoption metrics Patience and empathy when working with skeptics and late adopters Bonus Skills​ Experience with Fivetran's tech stack (Java, Python, C, SQL, Bazel, React) Background in developer productivity, platform engineering, or DevEx roles Experience with virtual agents/coding assistants in production environments Knowledge of AI/ML fundamentals and enterprise AI governance Previous experience in high-growth SaaS companies #LI-HYBRID #LI-EM1 The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Oakland Pay Range $225,813 — $282,266 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.