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Location: Annapolis Junction, MD, United States Job Title Senior‑Level AI Engineer (Python) Why IDS? IDS believes in resolving conflict, building innovative approaches to do so. Combining operational expertise with an intimate understanding of today’s greatest challenges, we bring our customers the solutions required for success in a complex and multidimensional world. IDS tailors' solutions for a diverse range of government, military, nonprofit, and public‑sector clients. Locations Annapolis Junction, MD Shifts Available Please note, candidates must be flexible. Shift times are general hours; some projects may require earlier or later reporting based on customer requirements. Job Description IDS is seeking a Senior‑Level AI Engineer to support the AI and Emerging Technologies mission. The engineer will work closely with mission stakeholders to capture requirements, support structured planning, improve certification processes using AI/ML tooling, and develop AI‑enabled capabilities including fine‑tuning Large Language Models to enhance vulnerability identification and mitigation. Key Duties • Collaborate with technical leadership to design, develop, and maintain LLM orchestration frameworks • Integrate static analyzers, retrieval‑augmented generation (RAG) systems, and automated testing pipelines • Clean, transform, and vectorize documentation, source code, and test artifacts for LLM consumption • Design and implement database solutions to support RAG architectures, artifact storage, and audit trails • Work with systems engineers to architect and deploy networked AI tools within secure enclaves • Perform performance profiling, optimization, and scalability analysis of mission systems • Support security assessments and Authority to Operate (ATO) processes Requirements • Bachelor’s degree with eight (8) years of relevant experience, or Master’s degree with six (6) years, or Doctoral degree with four (4) years • Associate’s degree with ten (10) years of clearly related experience may be considered • Degree in Computer Science or a related field with substantial coursework in algorithms, data structures, programming languages, computer architecture, logic, and advanced mathematics • Proficiency in Python and AI/ML integration • Experience with LLMs, static analyzers, RAG frameworks, and relational and vector databases • Familiarity with Agile methodologies and tools such as Git, Jira, and Confluence • Relevant experience across the software development lifecycle • Active TS/SCI with Polygraph Compensation • Salary range: $155,000 – $175,000 • Benefits

Location: Annapolis Junction, MD, United States Job Title Mid‑Level AI Engineer (Python) Why IDS? IDS believes in resolving conflict, building innovative approaches to do so. Combining operational expertise with an intimate understanding of today’s greatest challenges, we bring our customers the solutions required for success in a complex and multidimensional world. IDS tailors solutions for a diverse range of government, military, nonprofit, and public‑sector clients. Locations Annapolis Junction, MD Shifts Available Please note, candidates must be flexible. Shift times are general hours; some projects may require earlier or later reporting based on customer requirements. Job Description IDS is seeking a Mid‑Level AI Engineer to support the AI and Emerging Technologies mission. The engineer will work closely with mission stakeholders to capture requirements, support structured planning, improve certification processes using AI/ML tooling, and develop AI‑enabled capabilities including fine‑tuning Large Language Models to enhance vulnerability identification and mitigation. Key Duties • Collaborate with technical leadership to design, develop, and maintain LLM orchestration frameworks • Integrate static analyzers, retrieval‑augmented generation (RAG) systems, and automated testing pipelines • Clean, transform, and vectorize documentation, source code, and test artifacts for LLM consumption • Design and implement database solutions supporting RAG architectures, artifact storage, and audit trails • Work with systems engineers to architect and deploy networked AI tools within secure enclaves • Perform performance profiling, optimization, and scalability analysis of mission systems • Support security assessments and Authority to Operate (ATO) activities Requirements • Bachelor’s degree with five (5) years of relevant experience, or Master’s degree with three (3) years, or Doctoral degree with no required experience • Associate’s degree with seven (7) years of clearly related experience may be considered • Degree in Computer Science or a related field with substantial coursework in algorithms, data structures, programming languages, computer architecture, and mathematics • Proficiency in Python and AI/ML integration • Experience with LLMs, static analyzers, RAG frameworks, and relational or vector databases • Familiarity with Agile development and tools such as Git, Jira, and Confluence • Relevant experience across the software development lifecycle • Active TS/SCI with Polygraph Compensation • Salary range: $105,000 – $125,000 • Benefits

Location: Israel About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Nebius is looking for a Data Excellence Manager to join our Data & Analytics organization, leading cross-functional data initiatives and processes. This role will help drive data alignment and visibility, creating a shared language and consistent processes in how data projects & resources are defined, managed, allocated & delivered across the organization. The role combines data excellence with strong project and process management. You will work with business stakeholders, Analysts, Data Engineers, and Data Scientists to translate business needs into clear requirements, establish effective working processes, and ensure that trusted data products and initiatives are delivered successfully. You’re welcome to work in our offices in Tel Aviv, Israel. Your responsibilities will include: Lead cross-functional data initiatives from requirements through production and business adoption, defining deliverables, milestones, owners & success criteria. Establish processes for intake, prioritization, resource allocation, and delivery of data products and analytical support. Define standards for data quality, ownership, documentation, access, and change management; drive resolution of data-quality issues. Drive accountability for delivery commitments through regular sprint and project reviews. Analyze planned versus actual delivery, resource allocation, and stakeholder feedback to improve planning, time estimates, and the balance between planned and ad hoc work. Own the business glossary, aligning terms, KPIs, calculations, sources, and owners. Partner with Data Platform teams, analysts, and business stakeholders to understand how data is ingested, structured, and transformed, and ensure consistent business definitions from raw tables to dashboards and business use Proactively communicate progress, successes, delays & risks to stakeholders. We expect you to have: Experience in data excellence, governance, quality, analytics, BI, data product management, or a related field. Proven track record of managing cross-functional projects from requirements through implementation and adoption. Technical fluency to work with data functions on ingestion, table structures, and supporting processes, connecting these to front-end analytics and business use. Strong understanding of data quality, KPI definitions, ownership & documentation. Strong project and process management skills, including prioritization, estimation, dependency management, and delivery reviews across concurrent initiatives. Ability to translate business needs into actionable data requirements, clearly communicate progress, outcomes, and trade-offs. A pragmatic, business-oriented mindset, with strong ownership, accountability, and a commitment to continuous improvement. Working knowledge of spoken and written English It will be an added bonus if you have: Experience with Tableau, Salesforce, DBT, data catalogs, or cloud data platforms. Experience with executive / functional reporting, self-service analytics, AI-powered data products Familiarity with data classification, privacy, security, and access controls. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

— стратегия роста и полный контроль P&L с прицелом на EBITDA; — перестройка оргструктуры и сборка компактной команды топ-менеджеров;

Location: Lisbon, Portugal Joom is a global cross-border marketplace where millions can find anything they want at fair prices. Joom helps consumers to make shopping easy and entertaining and provides access to interesting and unique goods from around the world. Joom is one of the key businesses of Joom Group, an international group of tech-centric group of e-commerce companies founded in 2016 in Latvia. Joom also includes other businesses: JoomPro, the first and only end-to-end cross-border B2B marketplace; JoomPulse, an AI analytics tool for Mercado Livre sellers; and Onfy, a pharmaceutical marketplace in Germany. Joom Group has offices in Latvia, China, Germany, and Brazil, with its headquarters in Lisbon, Portugal. We work as one international team, sharing knowledge and collaborating across countries, businesses and products. We are looking for Lead/Senior ML developers to join our teams: Search team (Lead): will work on improving the core search algorithms, enhancing the system's understanding of user queries and the relevance of products shown in response to searches; developing new functionality to improve the user experience Order Experience team (Senior): developing AI/ML support: specifically, answering user questions using the full context of their orders, profile, transactions, and actions within the service, along with automating refunds Tech stack: Go, Python, Scala, Spark, modern LLMs, PyTorch, Docker, Kubernetes, Airflow, MongoDB, Cassandra, Kafka, Jenkins Requirements Strong algorithmic skills: knowledge of fundamental algorithms and data structures, as well as their implementation in standard libraries Proficiency in any language: experience in developing and debugging distributed, high-load applications, and writing testable code Industry experience in Machine Learning: familiarity with key modeling and training approaches (linear models, GBDT, DNN, etc.), knowledge of statistics, and end-to-end ML development experience, including raw data analysis, hypothesis formulation, model creation, experimentation, and deploying results into production Preferred Experience in developing recommendation or search systems Experience training neural network models Experience working with various data sources: Spark, Cassandra, Mongo, Kafka Knowledge of Go We offer Compensation package: base salary and performance-based bonuses Office-first: flexible hours with a possibility to work remotely 52 days per year Care & Wellbeing: health insurance (including dental care) for employees and their children, daily meal allowance, and 100% paid sick leave Relocation Support: full assistance for a smooth relocation for the employees and their family AI-first approach: licenses and access to a wide range of AI tools Team & Growth: collaboration with colleagues across Portugal, Brazil, Latvia and China, with opportunities for promotions, professional trainings, and English & Portuguese courses Community & Engagement: annual team building activities, knowledge-sharing workshops, and a strong sense of team work Before applying for the above position please review our Candidate Privacy Notice here . By responding to the vacancy, you acknowledge that you have read our Privacy notice.

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

Location: Singapore About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. New data center development: We give you the opportunity to work with cutting-edge technologies in data operations, cloud computing and infrastructure management. As global data center operations grow, there will be ample opportunities for career progression. Working in the data center directly impacts performance, customer satisfaction and efficiency, with the opportunity to contribute to new data center projects. You’ll collaborate with experts in AI data center development and operations, gaining insights from leaders in the field. This environment fosters innovation and allows you to work on solutions that exceed industry standards in design and deployment. The role The Logistics Team Lead oversees and coordinates all warehouse and logistics operations for data center hardware. This role ensures that inbound/outbound shipments, inventory accuracy, and equipment provisioning meet operational standards. This position implies full accountability for the logistics function, people management, cross-department coordination, and risk management, as well as developing long-term improvements to support business growth. Your responsibilities will include: Key Responsibilities: Warehouse & Shipment Management Ensure timely and accurate processing of inbound and outbound shipments. Establish and maintain SOPs for shipping and material handling. Oversee packaging standards for equipment. Handle escalations with warehouse operations. Identify bottlenecks and optimize warehouse workflows. Identify opportunities for process and tools improvement. Inventory & Asset Control Lead cyclical and annual inventory checks across all warehouse and external storage locations. Guarantee data accuracy in the inventory system (ERP, WMS). Assets creation process supervision. Analyze inventory discrepancies and implement preventive measures. Team Management Lead and mentor a logistics team. Distribute tasks, monitor performance, and conduct onboarding process. Act as escalation point for operational and staffing issues. Resource mangement (internal + outsource) Stakeholder Communication Act as primary logistics contact for data center engineers, project managers, and procurement teams. Manage relationships with relevant partners. Risk Management Assess and mitigate risks related to logistics operations, including equipment damage, delays and theft. Establish safety protocols in handling heavy, fragile equipment. Perform root-cause analysis of logistics incidents and implement corrective actions. Coordinate with data center operations and security teams to align risk management practices. We expect you to have: 5+ years in warehouse/logistics operations, preferably in IT hardware or data centers. Proven leadership experience (managing people and processes). Strong knowledge of shipping standards and inventory systems. Analytical mindset with ability to drive continuous improvement. Excellent communication and stakeholder management skills. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Poland; Warszawa, Польща On behalf of CloudTech Client #1 , SD Solutions is looking for a talented Senior DevOps Engineer - MSP to design, build, deploy, and maintain complex cloud environments for our customers using innovative automation tools and cutting-edge technologies. As a Senior DevOps Engineer, you will be responsible for architecting, maintaining, and evolving AWS cloud infrastructures, implementing and optimizing monitoring and alerting, troubleshooting issues, and developing automation to improve efficiency and reliability across environments. At AllCloud, our DevOps Engineers work with the latest and most advanced technologies. Some of the stacks we master daily for our customers include AWS, Docker, Kubernetes, Jenkins, CI/CD, Terraform, Ansible, Lambda, Python, Go, AI/ML, Big Data, IoT, and more - all while occasionally enjoying a game of 8-Ball or Nintendo Switch to keep things fun and collaborative. SD Solutions is a staffing company operating globally. Contact us to get more details about the benefits we offer. Responsibilities: Design and implement tailor-made cloud architectures based on customer needs. Manage multiple customer environments while adhering to industry best practices. Act as a trusted technical advisor to customers, ensuring alignment with business goals. Deploy advanced cloud services and automation solutions. Implement and maintain infrastructure automation and configuration management tools. Maintain a continuous feedback loop with customers to ensure deliveries meet expectations. Debug, troubleshoot, and resolve complex technical issues. Design, set up, and maintain large-scale monitoring and logging solutions. Requirements: 3+ years of hands-on experience with cloud providers (e.g., AWS, GCP). 3+ years of professional IT experience, with a strong Linux and networking background. Proven experience in a customer-facing role. Experience with security products (e.g., Firewalls, Web Gateways, Proxies). Strong experience with container technologies (Kubernetes, EKS, ECS, Swarm, Docker, etc.). Familiarity with Agile methodology. Proficiency in scripting with at least two languages: Python, Java, Bash, or PowerShell. Demonstrated creative troubleshooting and problem-solving skills. Fast learner with the ability to adapt to new technologies and domains. Strong foundations in Git and GitFlow methodologies. Experience with CI/CD platforms (Jenkins, CircleCI, CodePipeline, etc.). Hands-on experience with Infrastructure as Code (IaC) tools (Terraform, CloudFormation, CDK, Serverless Framework). Knowledge of serverless architectures . Advantages: Experience with system monitoring platforms (Datadog, Prometheus). Experience with centralized logging platforms (ELK / OpenSearch). Familiarity with GitOps methodologies (ArgoCD, Flux). Strong information security orientation. AWS certifications (Associate, Professional, or Specialty). Experience managing production-grade environments. Knowledge of AWS security tools and best practices (Security Hub, AWS Config, WAF, Shield, etc.). Familiarity with AWS Landing Zone and multi-account strategy. CKA / CKAD certifications. Eligible for or holding a security clearance. About the company: A global professional services company specializing in cloud enablement and digital transformation. An accredited partner at the highest tier with leading cloud, CRM, and data platform providers, the company helps organizations connect front and back offices through cloud adoption, data strategy, and analytics — delivering end-to-end managed services and consulting. By applying for this position, you agree to the terms outlined in our Privacy Policy. Please take a moment to review our Privacy Policy https://sd-solutions.breezy.hr/privacy-notice , and make sure you understand its contents. If you have any questions or concerns regarding our Privacy Policy, please feel free to contact us.

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Location: Bengaluru Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW As a Senior Software Engineer on the Core Infrastructure team at Harvey, you'll play a critical role in designing and building new infrastructure systems while equally scaling and strengthening our existing infrastructure. Our infrastructure is the foundation that powers every user interaction with Harvey — processing billions of prompt tokens and millions of daily requests across our global legal AI platform. You'll work in an environment balanced between innovation — building new systems — and operational excellence, ensuring that Harvey remains resilient and efficient as it scales products, regions, customers, and usage. Your contributions will directly impact the reliability, scalability, and security of our platform as we serve the world's leading law firms and professional service providers. This role is based in Bengaluru, India. WHAT YOU'LL DO - Design and build scalable, fault-tolerant infrastructure systems that power Harvey's AI platform across multiple cloud regions - Own and evolve our multi-cloud infrastructure (Azure, GCP), including Kubernetes orchestration, networking, and container management - Lead technical initiatives around observability, incident response, and operational excellence — building systems that enable rapid detection and resolution of issues - Architect and optimize our distributed systems for reliability, including load balancing, quota management, and failover mechanisms - Partner with Product Engineering and Security teams to ensure our infrastructure is an accelerant, not a constraint - Drive infrastructure-as-code practices using tools like Terraform and Pulumi to enable reproducible, auditable deployments - Mentor engineers and raise the technical bar across the organization through code reviews, design reviews, and technical leadership Representative Projects - Design and implement a next-generation model proxy architecture that routes millions of daily inference requests while maintaining model API compatibility and enabling seamless model integration - Build distributed rate limiting and quota management systems using Redis-backed algorithms to handle bursty traffic patterns without degrading user experience - Architect multi-region deployment strategies that meet strict data residency requirements for global enterprise customers - Develop comprehensive observability infrastructure with granular SLA monitoring, burn rate alerts, and detailed token attribution for cost tracking - Lead the evolution of our CI/CD pipelines to improve developer velocity while maintaining production stability WHAT YOU HAVE - 8+ years of experience in Core Backend Infrastructure Engineering or Backend Platform Engineering in a production environment - Long track record building and scaling complex, large-scale distributed systems - Deep proficiency with cloud infrastructure platforms (Azure preferred; GCP or AWS experience transfers well) - Strong fluency in Infrastructure as Code (IaC) tools — Terraform, Pulumi, or CloudFormation - Solid understanding of Kubernetes, container orchestration, networking, and cloud security at scale - Experience with observability tools (Datadog, Sentry) and incident response practices (PagerDuty, Incident.io http://Incident.io) - Strong programming skills in Python, Go, or similar languages - Excellent problem-solving skills, a "spidey sense" of where things could go wrong, and a commitment to operational excellence Nice to Have - Experience building infrastructure for AI/ML workloads or high-throughput inference systems - Background with distributed rate limiting, load balancing, or quota management systems - Experience operating multi-tenant platforms with strict security and compliance requirements - Track record of leading complex cross-functional projects and delivering measurable impact ADDITIONAL INFORMATION - Work eligibility: Must be authorized to work in India. Visa sponsorship is not available for this role. PLEASE FIND THE APPLICANT PRIVACY FOR THIS REGION HERE https://www.harvey.ai/legal/india-applicant-privacy-notice. #LI-AS2 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Location: Singapore Why This Role Exists Cloudflare built its reputation helping build a better Internet, defending millions of sites, giving away SSL and DDoS mitigation when the industry charged premium prices. In an acceleratingly dangerous world, the scope of that mission has changed. We are becoming something more: critical infrastructure. Banks run their payment rails on us. Governments run public services on us. Media companies depend on us during live events. Health systems depend on us to provide care. Reliability for these customers is no longer a feature of our product. It is a mission. Serving that customer base demands a different operating model. Traditional support organizations route tickets. Traditional engineering organizations ship features. Neither alone is enough when the stakes are this high. We are pivoting to something different: a customer-facing engineering organization, directly engaged with our customers at scale. This is work a central dev team cannot do from the inside of the network. The Customer Reliability Engineering function is the spine of that pivot. CRE is SRE applied outward, the same engineering discipline, applied to the reliability of the systems our customers run on Cloudflare. You are the engineer who owns the problems that matter most to the customers who matter most, and you contribute directly to our products and tooling, in partnership with Product Engineering, to hold that standard across the entire customer base. The Role CRE is a rapid response team and a proactive engineering team. You fix things at the edge as they come up, and you help build the product capabilities that identify customer issues before they become a crisis. Both modes are equally core. Rapid response. When a customer issue surfaces that is high-severity, cross-layer and complex, you are the engineer who answers. You reproduce the defect, isolate the root cause across Cloudflare's infrastructure and the customer's stack, drive the fix with Product Engineering, and confirm resolution. You hold on-call for high-severity incidents as part of a global shift rotation. Proactive engineering. When no fire is burning, you work with Product Engineering and our platform teams to build the capabilities that make the next fire cheaper or unnecessary: telemetry pipelines that correlate signals across the customer base, detectors that fire before a human notices, diagnostic tooling that scales across hundreds of customers, automation that reduces toil for Customer Support. Every incident you carry generates engineering output that reduces the cost of recurrence. The work compounds. Cloudflare is building CRE as an AI-native function. You will work with and help build agents and tooling that pre-diagnose incidents, surface relevant logs and configuration, and propose fixes with cited evidence. Engineers who ship AI-assisted diagnostics are the ones defining this discipline. What You Might Work On Rapid response: Own a Sev-1 incident where a large financial services customer sees asymmetric latency from a single POP. Trace it through BGP routing and origin configuration. Produce the fix upstream. Diagnose a recurring WebSocket disconnect that a media customer has been fighting for weeks. Isolate it to a specific interaction between WAF and their origin load balancer. Drive the fix with Product Engineering. Partner with a government customer's SRE team during an active DDoS event. Help them shape their Magic Transit and WAF configuration in real time. Proactive engineering: Build, with Product Engineering, a distributed tracing capability that correlates Cloudflare edge signals with customer origin metrics so a single query tells the story of a failing request end-to-end. Ship a detector for a class of WAF false positives silently degrading several customers. Get it into production before the next renewal cycle. Prototype an AI agent that takes a new customer case, pulls relevant logs and config, and proposes a root cause with linked evidence. Deploy it internally. Measure whether it makes engineers faster. Iterate. Responsibilities Rapid incident response and root cause analysis. Own the most complex, high-severity customer issues end-to-end, from first signal through confirmed resolution. Lead deep-dive debugging across the full stack: edge, network, DNS, transport, APIs, application, customer-side configuration. Reproduce defects, validate fixes with Engineering, and confirm customer-side resolution. Produce postmortems other engineers rely on. Hold on-call for high-severity incidents as part of a global rotation that includes weekends. Proactive reliability engineering. Analyze support and telemetry signals across the customer base to find systemic risks before they become incidents. Contribute monitoring, detection, and diagnostic capability to the core product and the engineering systems that give Customer Support early visibility into customer-affecting issues. Define customer-facing reliability metrics (error rates, resolution times, repeat-contact rates) and drive measurable improvement. Write automation that reduces mean-time-to-detect and mean-time-to-resolve. Cross-functional partnership. Manage the technical escalation lifecycle with clear ownership and timely communication. Partner with Product Engineering to drive fixes, workarounds, and configuration changes that address underlying gaps. Represent the customer reliability perspective in engineering syncs, incident reviews, and post-mortem processes. Technical leadership and enablement. Raise the technical floor of Customer Support through pair-debugging, structured knowledge transfer, and shared tooling. Document diagnostic procedures and resolution patterns in runbooks, internal knowledge bases, and AI skills. Share insights from customer-facing incidents to improve product documentation and operational readiness. Product and platform depth. Maintain deep, current expertise across Cloudflare's product portfolio: edge networking, DNS, CDN, WAF, DDoS mitigation, Zero Trust, Workers, and our developer platform. Anticipate customer impact from new releases and architecture changes. Serve as a go-to subject-matter expert in one or more domains. Requirements Minimum 5 years of hands-on experience in site reliability engineering, escalation engineering, systems engineering, or a comparable deeply technical support / operations role, with at least 2 years in customer-facing environments. Strong foundation in networking and security: TCP/IP fundamentals: OSI model, IPv4/IPv6 addressing, subnetting, routing, switching. Core protocols: DNS, HTTP/S, TLS/SSL, SMTP, SNMP, NTP. Routing protocols: BGP, OSPF, including path selection and route propagation. Firewall concepts: stateful/stateless inspection, rule sets, NAT, ACLs. VPN and encryption: IPSec, SSL/TLS tunnels, GRE. Zero Trust architecture, network segmentation, modern security models. Proficiency with observability and diagnostic tooling: packet capture and analysis (Wireshark, tcpdump), log aggregation (Kibana, Elasticsearch), metrics dashboards (Grafana), distributed tracing. Strong scripting and automation skills (Bash, Python) with a track record of shipping tooling that improves reliability and reduces toil. Experience with incident management, postmortem culture, and SLO/SLI-based reliability practices. Excellent written and verbal communication. Able to convey complex technical information clearly to engineers, leadership, and customers. Comfort owning ambiguous, cross-layer problems. Composure under pressure during high-severity incidents. Desired Skills & Experience SRE, DevOps, or platform engineering experience with direct customer-facing accountability. Deep expertise at both L3/L4 (network infrastructure) and L7 (application protocols, DNS, HTTP, WebSocket). Expert-level proficiency with Linux command-line tools: curl, dig, git, traceroute, mtr, strace, ss. Data-at-scale analysis using SQL, PromQL, or equivalent. Familiarity with CI/CD pipelines, infrastructure-as-code (Terraform, Pulumi), and container orchestration (Kubernetes, Docker). Track record of building internal tooling or diagnostic utilities that measurably improved team efficiency. Demonstrated technical leadership: mentoring engineers, driving cross-team initiatives, influencing outcomes without direct authority. Experience applying AI/ML to production engineering or operational workflows. Comfort engaging directly with enterprise customer engineering teams, including on calls during incidents. Bonus Points Active Cloudflare user who understands the platform as a practitioner. Hands-on experience with Workers, Pages, R2, D1, or other developer platform services. Cloud networking and security experience across AWS, Azure, or GCP. Web programming (HTML, JavaScript) and regular expressions. Chaos engineering or formal reliability frameworks (e.g., Google SRE principles). Managing or configuring non-HTTP services: email, DNS authoritative/recursive, FTP, SSH. What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role We’re looking for a Business Development Representative who will be the first point of contact for leading companies across the United States exploring next-generation cloud and AI solutions. Working closely with Account Executives, Marketing, and Product teams, you will build and qualify pipeline to accelerate Nebius’s growth in US markets. Location: San Francisco, New York or Boston Your responsibilities will include: Territory & Account Penetration Collaborate with AEs to map and prioritize target accounts across the US, then execute a mix of outbound calls, personalized emails, and LinkedIn outreach to secure qualified meetings. Inbound Lead Qualification Screen and qualify inbound MQLs generated by Marketing, ensuring each prospect meets BANT criteria before handing off a detailed prospect brief to AEs. Customer & Market Engagement Conduct qualification calls to uncover customer pain points, technical requirements, and budget. Represent Nebius at key European tech events, book on-site meetings, and follow up to maximize ROI. Feedback & Continuous Improvement Gather market intelligence (common objections, competitive insights, feature requests) during prospect conversations and share it with Product and Marketing. Monitor outreach metrics (open rates, reply rates, connect rates) and collaborate with Sales Ops to optimize cadences and scripts. Stay up to date on AI and cloud trends (e.g., generative AI in pharma R&D) to position Nebius’s value proposition effectively. We expect you to have: Language & Market Expertise Fluent English, both written and verbal. 2+ years of SDR/BDR experience in cloud, B2B SaaS, or AI, with a proven track record targeting AI Natives in the US. Technical & Sales Skills Strong understanding of GDPR and local data-privacy regulations. Soft Skills & Mindset Highly self-motivated, goal-oriented, and able to thrive in a fast-paced startup environment. Excellent written and verbal communication skills, with strong cross-cultural awareness and adaptability. Collaborative team player comfortable operating in a hybrid office model. It will be an added bonus if you have: Familiarity with Salesforce and sales engagement tools such as Outreach. Key employee benefits in the US: Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 401(k) plan: Up to 4% company match with immediate vesting. Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote work reimbursement: Up to $85/month for mobile and internet. Disability & life insurance : Company-paid short-term, long-term and life insurance coverage. Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. On Target Earnings Range $95,000 — $95,000 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Remote - Canada What We’re Building Honeycomb is a service for the near and present future, defining observability and raising expectations of what developer tools can do! We’re working with well known companies like HelloFresh, Slack, LaunchDarkly, and Vanguard and more across a range of industries. This is an exciting time in our trajectory, we’ve closed Series D funding, scaled past the 200-person mark, and were named to Forbes’ America’s Best Startups of 2022 and 2023! If you want to see what we’ve been up to, please check out these blog posts and Honeycomb.io press releases . Who We Are We come for the impact, and stay for the culture! We’re a talented, opinionated, passionate, fiercely inclusive, and responsible group of bees. We have conviction and we strive to live our values every day. We want our people to do what they truly love amongst a team of highly talented (but humble) peers. How We Work We are a fully distributed company, which means we believe it is not where you sit, but how you deliver that matters most. We invest in our people and care about how you orient to our culture and processes. At the same time we imbue a lot of trust, autonomy, and accountability from Day 1. #LI-Remote Little more about the team: You'll be the product manager for our Canvas and Agentic AI teams - the teams building Honeycomb's AI-powered investigation experience. Canvas lets engineers use natural language to query, visualize, and understand their production systems. We're pushing well past chat: we're building Skills (pre-configured workflows that encode domain expertise into repeatable, executable actions), Auto-Investigations (agent-driven investigations that kick off before a human gets paged), and a rearchitected Canvas that's both interactive and collaborative. You'll work in a tight triad with engineering and design leads, owning the roadmap for how AI shows up in Honeycomb, from the product UI to our MCP server. You'll partner with our Director of AI Strategy, Research & Development teams, and our customer-facing teams to stay grounded in what customers actually need while pushing toward something meaningfully different from what exists today. This is a role for someone who can hold both execution and ambiguity: shipping production features while navigating a product space where the right answers are still emerging. What you’ll do in the role: Define AI product strategy in service of Honeycomb's vision Synthesize AI trends, customer needs, and technical capabilities into clear strategic recommendations Help the product organization understand where and how AI creates genuine customer value vs. where it's hype Identify emerging observability challenges created by AI adoption (e.g., LLM drift, prompt regression, low-context generated code) Make informed bets about which AI technologies and approaches warrant investment Conduct research that bridges technology and customer reality Build deep understanding of how customers are adopting AI in their engineering workflows Identify patterns across customer conversations that signal future market needs Stay current with AI/ML developments (RAG, fine-tuning, agentic systems, etc.) and translate implications for observability Engage with technical communities, researchers, and early adopters to spot trends before they go mainstream Enable AI innovation across the product portfolio Partner with product teams to identify high-value opportunities to leverage AI capabilities Provide guidance on AI approaches, trade-offs, and best practices without centralizing all decisions Help teams understand how their work fits into our broader AI strategy and how to leverage shared capabilities Synthesize cross-portfolio learnings and socialize what's working (and what isn't) Evangelize the AI-observability connection Articulate Honeycomb's point of view on AI observability both internally and externally Help customers understand how observability needs evolve as they adopt AI Contribute to thought leadership through writing, speaking, and community engagement Build credibility with technical audiences who care deeply about how we use AI, not just that we use it What you’ll bring to the role: Proven AI product experience 5+ years in product management with at least 1+ year shipping AI/ML-powered products Track record of taking AI features from concept to customer impact, including things that didn't work Deep understanding of how engineering teams actually build, deploy, and operate AI systems (not just theoretical knowledge) Familiarity with current AI/ML techniques and the judgment to know when they're applicable vs. overhyped Strategic thinking with customer empathy Ability to synthesize disparate signals (research, customer feedback, technical trends) into coherent strategy Comfort operating with ambiguity and making decisions without perfect information Pattern recognition across conversations—spotting what customers aren't yet saying clearly Strong judgment about when to say "no" or "not yet" despite exciting technology Technical credibility without needing to be the expert Enough technical depth to have earned respect from engineers and architects Genuine curiosity about how things work, paired with humility about what you don't know Ability to evaluate trade-offs between different AI approaches (RAG vs. fine-tuning, model selection, etc.) Understanding of observability principles and why they matter in production systems Communication and collaboration skills Excellent written and verbal communication—can explain complex ideas clearly to varied audiences Ability to influence without authority across product, engineering, and go-to-market teams Comfort presenting to customers, executives, and technical audiences Collaborative mindset that elevates others' work rather than centralizing control Curiosity and learning orientation Demonstrated ability to stay current in fast-moving domains (AI is evolving weekly, not yearly) Intellectual humility—you're more interested in learning than being right Excitement about the intersection of AI technology and real customer problems Energized rather than exhausted by the pace of change in AI Base Salary based on level of experience $272,739 — $320,829 CAD What you'll get when you join the Hive: A stake in our success - generous equity with employee-friendly stock program It’s not about how strong of a negotiator you are - our pay is based on transparent levels relative to experience Time to recharge with unlimited PTO A distributed-first mindset and culture (really!) Home office, co-working, and internet stipend Full benefits coverage for employees, with additional coverage available for dependents Up to 16 weeks of paid parental leave, regardless of path to parenthood Annual development allowance And much more... Please note we cannot currently sponsor or support visa transfers at this time. Additionally, in compliance with applicable law, all persons hired will be required to verify identity and eligibility to work. Phishing and Recruitment Scam Warning: We take your security seriously. Please be aware that recruitment scams are increasingly common and scammers may create email addresses or websites to impersonate Honeycomb employees. To help protect you: All communications will come from an @honeycomb.io email address We occasionally work with external recruiting agencies. These partners will use legitimate business email addresses— never personal accounts like Gmail or Yahoo . Our recruiting process will never ask you to provide financial or sensitive personal information, including but not limited to: Social security or tax identification numbers Credit card numbers Bank account information Diversity & Accommodations: We're committed to building a diverse, inclusive, and equitable workplace—where people of all backgrounds, identities, experiences, and abilities are welcomed, valued, and supported. We recognize that there is no single path to success and embrace nontraditional career journeys and diverse perspectives as key to building stronger, more innovative teams. We strive to ensure an inclusive experience throughout every stage of our hiring process and are happy to provide reasonable accommodations as needed. If you require accommodations or accessible formats at any point during our hiring process, please let your recruiter know. As an equal opportunity employer our hiring process is designed to put you at ease and help you show your best work. If there’s anything we can do to improve your experience, we’re always open to feedback. Privacy Notice: If you apply for a job at Honeycomb and your application is unsuccessful (or you withdraw from the process or decline our offer), Honeycomb will retain your information after your application for a period of time in accordance with local laws. We retain this information for various reasons, including in case we face a legal challenge in respect of a recruitment decision, to consider you for other current or future jobs at Honeycomb, and to help us better understand, analyze and improve our recruitment processes. For more information regarding our privacy practices please see the Honeycomb Privacy Notice . If you do not want us to retain your information, or want us to update it, please contact privacy@honeycomb.io . Please note, however, that we may retain some information if required by law or as necessary to protect ourselves from legal claims.

Location: Singapore 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 We are seeking an Enterprise Account Executive, Industries – Manufacturing to lead Anthropic’s go-to-market in Taiwan from our Singapore hub. You will bring Claude to Taiwan’s leading high-tech manufacturers in semiconductors, electronics, and the AI hardware supply chain, helping them apply AI across engineering, operations, supply chain, and corporate functions. You will own the full sales cycle with C-suite and senior technical stakeholders, working with Product, Engineering, Applied AI, and Partnerships to shape solutions that fit the market. As one of Anthropic’s first commercial presences covering Taiwan, you will also help define our regional strategy and build the foundation for long-term growth, in a way that reflects Anthropic’s mission to ensure the world safely makes the transition through transformative AI. Key responsibilities Meet and exceed revenue targets by winning new enterprise accounts and expanding existing ones, while landing flagship references across Taiwan’s semiconductor, electronics, and broader manufacturing sectors Build and execute a territory plan that reflects Taiwan’s manufacturing landscape, including its buying behavior, regulatory environment, and data residency expectations Lead consultative sales with C-suite and senior technical leaders, positioning AI as a driver of business transformation Translate Claude’s technical capabilities into clear business value for manufacturing use cases Run technical discovery with engineering leaders and speak credibly about security, IP protection, and deployment options with customers whose designs and process data are their most sensitive assets Partner with Product, Engineering, Applied AI, and Partnerships to design tailored solutions and support complex deals Build co-sell motions with hyperscaler and system integrator partners, including joint customer engagements and marketplace procurement, to extend reach across the territory Identify new use cases and feed customer and market insights back into the product roadmap Represent Anthropic with customers, partners, and industry stakeholders in Taiwan, including conversations about the safe and responsible use of AI Minimum qualifications 10+ years in enterprise sales, business development, or account management, including selling to semiconductor, electronics, or other manufacturing customers in Taiwan Deep understanding of Taiwan’s high-tech manufacturing ecosystem, including how leading companies organize engineering, manufacturing, and supply chain functions, and where AI creates measurable value Track record of closing complex, multi-stakeholder enterprise deals Existing commercial network among Taiwan-based enterprises Fluency in Mandarin and English, with strong written and verbal communication and presentation skills Strong commercial judgment and the ability to work independently in a fast-moving, early-stage market Based in or willing to relocate to Singapore, with eligibility to work there and willingness to travel frequently to Taiwan Bachelor’s degree in a related field or equivalent experience Preferred qualifications Experience selling AI/ML, cloud, data platforms, or enterprise SaaS into manufacturing, semiconductor, electronics, or industrial sectors Experience co-selling with hyperscaler, channel, or SI partners Familiarity with regional data residency, AI governance, IP protection, and enterprise procurement requirements Interest in or experience with advanced AI systems and their safe development Understanding of Taiwan’s competitive and sovereign AI market, including hyperscaler presence, government-backed local models, and manufacturers building their own models Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

vazifala r: ai/ml yechimlarini amaliy jarayonlarga joriy etish, katta hajmdagi ma’lumotlarni qayta ishlashni avtomatlashtirish va ai modellarini backend tizimlariga integratsiya qilish. talabla r: python’ni yaxshi bilish, llm, vision/vlm yoki ml bilan amaliy ishlash tajribasi.

Location: Remote (United States | Canada) Workplace: Remote 1Password is growing. We’ve surpassed $500M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing. About 1Password At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work. If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future. We’re looking for a Senior Data Analyst to be a key analytical partner to our Customer Success organization and our product-led, digital customer journey. You’ll shape how the business understands what drives adoption, retention, and expansion, analyzing how customers move from sign-up to activation, engagement, conversion, expansion, and renewal, and turning that into clear, actionable insight on the growth levers leadership can act on. Sitting within our centralized analytics function, you’ll work closely with Customer Success, Product, Growth, RevOps, and Data Engineering, bringing strategic thinking, deep PLG expertise, and the ability to turn complex data into clear recommendations that move the business forward. You’ll help define how digital and scaled success programs are measured, size opportunities, show where to invest next, and help shape the data foundations that underpin our AI and automation capabilities. How we’re using AI today On the Analytics team, we're thoughtfully embedding AI into how we work with data. That looks like using AI to accelerate SQL development, pressure-test interpretations, turn complex datasets into clear executive narratives, and increasingly, building Generative BI applications that let stakeholders explore and interrogate data on their own. We approach AI the same way we approach data quality: with clear standards, human accountability at every consequential decision, and a commitment to getting it right before it influences the business. Beyond our own workflows, our role is evolving to ensure 1Password has the data foundations, governance, and structure its broader AI transformation depends on. This is a remote opportunity within Canada and the US. What we're looking for: - 5+ years in analytics within complex B2B SaaS environments, ideally in a product-led or self-serve motion. B2C or hybrid B2B/B2C experience is a plus - Strong PLG and customer lifecycle expertise, including activation, PQLs, cohort analysis, retention, churn, expansion, and growth modeling - Experience partnering with Customer Success, Product, and Growth stakeholders and translating open-ended business questions into analytical frameworks - Ability to synthesize complex analysis into clear recommendations and communicate them to senior leaders, influencing decisions and priorities - Experience with experimentation (A/B testing), statistical modeling, or predictive techniques (e.g., churn or propensity modeling) in a business context - Advanced SQL and strong experience with large-scale analytical datasets, including product usage and event data - Hands-on experience with modern AI/BI tools (Hex, Omni, Claude, Dust, or similar) - Comfort in modern cloud data ecosystems: Snowflake, Databricks, dbt - Experience working with GTM and customer platforms such as Salesforce and a CS platform (Gainsight, or similar). Familiarity with product analytics tools (Amplitude, Segment, or similar) is a plus What you can expect: - The opportunity to do meaningful analytics work across adoption, retention, expansion, and digital success in a fast-moving, product-led SaaS environment - Close partnership with Customer Success stakeholders and a direct line to leadership on the growth levers that matter most, contributing to how the organization measures performance and makes day-to-day decisions - Involvement in building the data foundations and analytical standards that Customer Success and 1Password’s broader AI capabilities will depend on - Exposure to how AI gets applied in customer analytics, including Generative BI and AI-assisted workflows across forecasting, anomaly detection, and insight generation - Cross-functional collaboration across Customer Success, Product, Growth, Marketing, Finance, RevOps, and Data teams - An environment where there’s a lot to build and your contributions will have real impact, ideal for someone who is eager to grow, take ownership, and make their mark USA-based roles only: The annual base salary for this role is between $122,000 USD and $171,000 USD, plus immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. Canada-based roles only: The annual base salary for this role is between $105,000 CAD and $147,000 CAD, plus immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set. This posting is for an existing vacancy. Our culture At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first. You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone https://blog.1password.com/inside-the-culture-powering-1passwords-next-chapter/. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results. How we work with AI We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password. This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. To us, this means we do ask that you join live interviews without using AI tools so we can get to know how you communicate, solve problems, and collaborate with others. Our approach to remote work We believe in the power of remote work, but recognize that in-person connection is important to help us achieve our mission. While we are a remote-first company, travel for in-person engagement is a part of almost all roles, and we require our employees to be ready and willing to take part. Frequency will depend on role and responsibilities, and may include, but is not limited to: annual department-wide offsites, team meetings, and customer/industry events. What we offer We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer: Health and wellbeing 👶 Maternity and parental leave top-up programs 🩺 Competitive health benefits 🏝 Generous PTO policy Growth and future 📈 RSU program for most employees 💸 Retirement matching program 🔑 Free 1Password account Community 🤝 Paid volunteer days 🏆 Peer-to-peer recognition through Bonusly 🌎 Remote-first work environment *Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting. You belong here. 1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs. Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you. Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form https://jobs.ashbyhq.com/1password/automation-notice. For additional information see our Candidate Privacy Notice https://1password.com/files/candidate-privacy-notice.pdf.

Location: London Workplace: onsite THE OPPORTUNITY We are building Watcher, a coding agent security product. Watcher is deployed in production and monitors billions of agent tokens per month across engineering teams at agent-building scale-ups and multinational enterprises. We are looking for our first Go-To-Market Associate to build Watcher's pipeline engine and bring a qualified pipeline to the Founding Account Executive.  Think of the role as a BDR / GTM engineer hybrid. Half the work is finding and reaching the right people inside the right companies. The other half is building the systems that make that repeatable: signal detection, enrichment, sequencing, reporting. A good chunk of this job should be automating the previous version of this job. There is no marketing function for Watcher today. Until there is, you own the parts of marketing that produce the pipeline: events, target personas, and getting our research in front of the people who should read it. Our ideal customer profile and target market are set together with product and the GTM lead. Within those accounts, you decide who we reach, how we reach them, and which experiments we run to find out which segments are real. You will work directly with our GTM lead. As we grow, this role can develop toward owning deals as an account executive, GTM engineering and operations, or partnerships, depending on where your strengths are. KEY RESPONSIBILITIES Build the pipeline engine Work out which companies are deploying coding agents at scale, who inside them feels the problem, and which of them we should spend time on. Research accounts and people. Work out whether we have something useful for this person and what it is. Personalize the outreach. Short, specific, honest messages that a busy security engineer will reply to. Run outbound as a set of experiments rather than a volume target: test segments, messages, and channels against each other, read the results honestly, and kill what is not working. Hand qualified conversations to the AE and GTM lead with the context they need to run them well. Pipeline operations and tooling Turn repeated manual work into tooling: signal detection for who has started deployment agents, enrichment, sequencing, CRM automation, and the reporting that shows what top of funnel is actually producing. Maintain best-in-class CRM hygiene: accurate notes, activity logging, dispositions, and next actions. Everyone has visibility where every live opportunity stands and what it is waiting on. Events and conferences Own the conference motion end to end. Decide which events are worth attending. Attendee research and prioritisation, pre-show outreach, booked meetings before the doors open, logistics on the day, and follow-up out within 48 hours. Make the team effective in the room: briefs on who is coming, what they care about, and what we want out of each conversation. REPRESENTATIVE PROJECTS Build the signal engine. Write the thing that tells us which companies started deploying coding agents at scale this month, from job posts, engineering blogs, change logs, conference talks and hiring patterns. Score them, attach the right persona, and drop them into the CRM ready to work. Own a conference end to end. Take a sponsored conference: work the attendee list, research and rank who is worth our time, run the pre-show outreach, land a target number of booked meetings before day one, and have every follow-up sent within 48 hours of the close. Write up the parts worth repeating. Make how we approach a new account repeatable. Turn the way we research and open a company into something anyone here could run, and then into something that mostly runs itself. JOB REQUIREMENTS Must-haves Around 2+ years in a role where you had to find and open conversations with people who did not know you, and nobody handed you a list: early-stage BDR or SDR, founder's associate, consulting where you were involved in business development or building a practice, solutions or customer-facing engineering, or running your own thing. You do not need to be a formally trained salesperson. If you've built pipeline from scratch in another context, we'd love to hear about it. You have a track record of building: You can show us something you built to avoid doing a task twice e.g. a scraper, an enrichment flow, a CRM automation, a vibe-coded internal tool. High agency and ownership. You see what needs doing and do it. When something stalls, you find out why and move it, rather than reporting that it is stalled. You want the responsibility of deciding where our effort goes, not just executing a list. Startup pace. Excited by a fast-moving environment, comfortable with ambiguity and changing priorities, and willing to grind when it matters. Technically curious. You need to get interested in how coding agents work and how they fail, well enough to hold a credible conversation with a security engineer and know when to hand off to someone deeper. Strong nice-to-haves Background in cyber security, developer tools, or AI/ML Comfortable leveraging AI heavily for tooling, research, drafting and operations, while holding the output to a high standard. Experience in founder-led sales. You have supported a founder or a first GTM hire directly and understand how that relationship works. Comfort with GTM tooling and light scripting. CRM, enrichment, outbound tooling, or anything you have built yourself to avoid doing something twice. Explicitly not required Formal AI safety background. We need an excellent operator who can learn the AI safety context, and we will teach you what you need to know. A sales title. BENEFITS This role offers market competitive salary, equity, and competitive benefits. Base Salary: £72,000 - £98,000; Variable: performance incentives against ARR/qualified pipeline targets. Everyone at Apollo effectively has an unlimited token budget. If a better result costs more compute, use it. Flexible work hours and schedule Unlimited vacation Unlimited sick leave Up to 6 months of paid parental leave Comprehensive health, dental and vision insurance Retirement savings with competitive employer matching Lunch, dinner, and snacks are provided for all employees on workdays Paid work trips, including staff retreats, business trips, and relevant conferences A yearly $1,000 (USD) professional development budget Relocation support and visa fees (if applicable) LOGISTICS Time Allocation: Full-time Location: This is an in-person role working out of our London office, with regular travel to conferences and occasional travel to customer sites. We offer flexible working hours and some WFH arrangements. Visa sponsorship: We sponsor visas in the UK. Sponsorship isn't guaranteed for every role or candidate, but if we make you an offer, we'll work with you to find the right visa route. ABOUT THE TEAM You will work directly with Kyle Dai, our GTM lead, and alongside the our founding Account Executive who runs the deals your pipeline feeds. Marius Hobbhahn (CEO) advises the team. You will also interact with our other SWEs and researchers, since we intend to be "our own customer" by using our products internally for our research work. You can find our full team here. ABOUT APOLLO RESEARCH The rapid rise in AI capabilities offers tremendous opportunities, but also presents significant risks. At Apollo Research, we're primarily concerned with risks from Loss of Control, i.e. risks coming from the model itself rather than e.g. humans misusing the AI. We're particularly concerned with deceptive alignment / scheming, a phenomenon where a model appears to be aligned but is, in fact, misaligned and capable of evading human oversight. We work on the science of scheming, detection of scheming (e.g. building evaluations), and scheming mitigations (e.g. anti-scheming). We also work on control and monitoring research (see our scalable monitoring agenda). We work closely with many frontier AI companies, such as OpenAI, Anthropic, Google, Meta, Thinking Machines and others, e.g. to test their models and collaborate on the science of scheming. At Apollo, we aim for a culture that emphasizes truth-seeking, being goal-oriented, giving and receiving constructive feedback, and being friendly and helpful. If you're interested in more details about what it's like working at Apollo, you can find more information here. We also build a coding agent security product called Watcher that secures agent deployments in companies. Our goal is to reduce the probability of catastrophic incidents by securing coding agents, learning about their real-world risks, and publishing our research on how to build these control systems most effectively. Equality Statement: Apollo Research is an Equal Opportunity Employer. We value diversity and are committed to providing equal opportunities to all, regardless of age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex, or sexual orientation. HOW TO APPLY Please complete the application form with your CV. The provision of a cover letter is neither required nor encouraged. Please also feel free to share links to relevant work samples, including anything you have written. About the interview process: Our multi-stage process includes a screening interview, a take-home exercise (2-3 hours), 2-3 technical interviews, and a final interview with Marius (CEO). If you want to prepare, we suggest using a coding agent heavily for a week and forming your own view on who should be buying something like Watcher, and why. Your Privacy and Fairness in Our Recruitment Process: We are committed to protecting your data, ensuring fairness, and adhering to workplace fairness principles in our recruitment process. To enhance hiring efficiency, we use AI-powered tools to assist with tasks such as resume screening. These tools are designed and deployed in compliance with internationally recognized AI governance frameworks. Your personal data is handled securely and transparently. All resumes are screened by a human and final hiring decisions are made by our team. If you have questions about how your data is processed or wish to report concerns about fairness, please contact us at info@apolloresearch.ai.

Location: Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. Location- San Francisco, California An overview of this role As a Strategic Account Executive for the San Francisco region, you'll drive GitLab's enterprise growth by helping some of the area's most influential organizations, including a concentrated focus on leading AI companies, adopt, implement, and expand their use of our AI-powered DevSecOps platform. You'll focus on enterprise accounts, with particular emphasis on foundation model labs, AI infrastructure providers, and applied AI companies scaling rapidly in the region, guiding customers through complex digital and DevSecOps transformations and driving pipeline generation that translates into measurable Net ARR and long-term expansion. In this role, you'll act as a key connector between customer stakeholders and GitLab's field organization so GitLab is seen as a trusted, long-term partner across the full sales cycle. In your first year, you'll be expected to build a strong enterprise portfolio across your territory, including a meaningful share of AI-native accounts, create repeatable sales motions, and consistently forecast and report on deal progress and account health. What you'll do Drive strategic growth by leading GitLab's enterprise accounts across San Francisco, with a dedicated focus on AI-native companies, serving as a trusted technology advisor to industry leaders in your territory. Orchestrate winning sales strategies by bringing together Solutions Architects, Customer Success experts, Sales Development, Channel & Alliances, and other technical specialists to deliver transformative, AI-powered DevSecOps solutions tailored to the unique velocity and scale demands of AI-native engineering organizations. Shape the future of software development by crafting innovative solutions that align GitLab's platform with customers' long-term vision, compliance needs, and business objectives, including the specific infrastructure, security, and governance challenges AI companies face as they scale model development and deployment. Build deep, strategic partnerships by mastering your customers' industry landscape, success metrics, and growth trajectories, including a strong point of view on the AI/ML ecosystem, so you can position GitLab as their indispensable technology ally. Design and execute strategic account plans, including opportunity mapping, stakeholder alignment, and multi-threaded engagement, to expand GitLab usage within new and existing strategic accounts, with particular attention to fast-growing AI companies and their evolving technical buying committees. Lead end-to-end customer journeys from initial discovery through evaluation, negotiation, and successful implementation, ensuring a consistent, high-quality experience at every stage of the sales cycle. Champion continuous improvement by contributing to forecasting and pipeline reviews, conducting sophisticated win/loss analyses, and sharing strategic insights, including emerging trends in AI company buying behavior, that refine our go-to-market approach. Prepare and deliver compelling customer-facing and internal presentations, proposals, and recommendations that clearly communicate value, business outcomes, and the path to long-term partnership with GitLab. What you'll bring Experience driving complex B2B software sales cycles with enterprise customers, ideally in DevSecOps, software development tools, or adjacent SaaS solutions. Background selling into large, enterprise accounts in San Francisco, United States, with the ability to build trusted C-level and senior stakeholder relationships across business and technical teams. Familiarity with the AI/ML company landscape, including model providers, AI infrastructure vendors, and applied AI startups, and the ability to speak credibly to engineering and technical leadership about how DevSecOps practices apply to AI-driven development. Knowledge of San Francisco's enterprise and AI market, including key industries, buying centers, and decision-making dynamics, with the ability to build and nurture a relevant professional network. Ability to drive new business acquisition and expansion within enterprise accounts through consultative, multi-stakeholder sales motions that lead to sustainable, long-term customer partnerships. Experience collaborating with channel and strategic partners to generate pipeline, co-sell, and support successful customer adoption. Effective communication and interpersonal skills, with the ability to lead account strategy, influence internal and external stakeholders, and remain calm under pressure. Ability to work in line with GitLab's values, use GitLab and Salesforce in your daily work, and travel as needed while following company travel policies. About the team The Enterprise Sales team is responsible for driving growth, adoption, and long-term value for GitLab's AI-powered DevSecOps platform with our largest and most strategic customers. As a Strategic Account Executive focused on San Francisco, you'll be part of a distributed, all-remote team that works asynchronously across regions and partners closely with GitLab's sales engineering, marketing, and customer success teams. We value transparency, collaboration, and a consultative approach, and we support one another through shared account planning, regular deal reviews, and knowledge sharing focused on enterprise customers across the San Francisco region. Remote-Global The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $124,000 — $186,600 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .