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Location: Manila, Philippines Role Overview: We are looking for an AI Content & Prompt Engineer who can craft high-performing prompts and generate high-quality content using AI tools. This role combines creativity with technical thinking—optimizing AI outputs for marketing, operations, and business use cases. Key Responsibilities: Design, test, and optimize prompts for AI tools (ChatGPT, Claude, etc.) Create high-quality content (social media, blogs, emails, ads, landing pages) using AI Develop prompt frameworks and reusable templates for different teams Ensure AI-generated content aligns with brand voice and business goals Edit, refine, and fact-check AI outputs for accuracy and quality Collaborate with marketing, sales, and operations teams Continuously test and improve AI performance and outputs Stay updated on AI trends, tools, and prompt engineering techniques Requirements: Proven experience in content writing, copywriting, or AI content creation Strong understanding of prompt engineering and AI behavior Excellent writing and editing skills in English Ability to adapt tone, voice, and messaging across different audiences Analytical mindset with attention to detail Experience using AI tools (ChatGPT, Claude, Jasper, etc.) Nice to Have: Background in marketing, branding, or SEO Experience with A/B testing content Familiarity with automation tools (Zapier, Make) Basic understanding of AI limitations and ethical considerations

Location: Warsaw Asana for Client Management is a new product for Agencies to manage every client, every project, and every conversation in one place. We are looking for a collaborative Engineering Manager to lead one of the teams bringing this vision to life. In this role, you will build and empower a talented team of engineers, partner cross-functionally to shape the product roadmap, establish technical foundations, and deliver a superlative user experience. This role is based in our Warsaw office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve Hire and support a talented team of engineers to build a new product from the ground up. Partner cross-functionally with Product Management, Design, and Data Science to define roadmap priorities and deliver intuitive product capabilities. Guide architectural and technical decisions to ensure system reliability, performance, and long-term scalability. Drive operational excellence and continuous delivery processes, enabling the team to iterate quickly and ship value continuously. Champion accountability for key outcomes, linking your team's everyday work to Asana's broader strategic goals. About you Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making. Experience guiding and developing software engineering teams in building scalable web applications, ideally with experience leading 0-1 product development. Solid technical background with a deep understanding of software engineering fundamentals and modern architecture. Proven track record of collaborating effectively with product managers and designers to balance technical health with user velocity. Clear communicator and empathetic leader who thrives in a collaborative environment. At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply. What we’ll offer Generous, transparent and fair compensation system (base salary and RSUs) Contract of Employment (and the option of 50% tax deductible costs for author’s rights usage in respect of applicable roles) Health insurance with dental and travel coverage (Lux Med) Breakfast and lunch catering on the days that you work from the office Vacation allowance Career growth budget Home office setup budget Gym/Fitness card Fertility healthcare and family-forming support with Carrot Mental Health Support in Modern Health Group life insurance MacBooks with all necessary accessories For this role, the estimated base salary range is between 34 000 - 39 000 PLN gross per month (subject to all taxes and necessary deductions). The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified. In addition to base salary, your compensation package may include additional components such as equity and sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role. #LI-Hybrid About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law. Join Asana’s Talent Network to stay up to date on job opportunities and life at Asana.

Location: St. Petersberg, United States Role Overview: We are looking for an AI Content & Prompt Engineer who can craft high-performing prompts and generate high-quality content using AI tools. This role combines creativity with technical thinking—optimizing AI outputs for marketing, operations, and business use cases. Key Responsibilities: Design, test, and optimize prompts for AI tools (ChatGPT, Claude, etc.) Create high-quality content (social media, blogs, emails, ads, landing pages) using AI Develop prompt frameworks and reusable templates for different teams Ensure AI-generated content aligns with brand voice and business goals Edit, refine, and fact-check AI outputs for accuracy and quality Collaborate with marketing, sales, and operations teams Continuously test and improve AI performance and outputs Stay updated on AI trends, tools, and prompt engineering techniques Requirements: Proven experience in content writing, copywriting, or AI content creation Strong understanding of prompt engineering and AI behavior Excellent writing and editing skills in English Ability to adapt tone, voice, and messaging across different audiences Analytical mindset with attention to detail Experience using AI tools (ChatGPT, Claude, Jasper, etc.) Nice to Have: Background in marketing, branding, or SEO Experience with A/B testing content Familiarity with automation tools (Zapier, Make) Basic understanding of AI limitations and ethical considerations

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

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

- 2+ years building with large language models in production.

Location: Ukraine; North Macedonia; Turkey; European Union; Serbia; Bosnia; Georgia Workplace: Remote ABOUT US Ruby Labs is a leading tech company that creates and operates innovative consumer products. We offer a diverse range of opportunities across the health, education, and entertainment industries. Our innovative teams are driving the future of consumer-led products, and we're always looking for passionate individuals to join us. Learn more about our story at: https://rubylabs.com/about-us/ ABOUT THE ROLE We are looking for a Senior AI Engineer to own and scale the AI layer of one of our core D2C subscription products. You will be fully responsible for production LLM features and the browser automation built around them end to end — prompt systems, structured outputs, evaluation, observability, and model selection — from first experiment to live release, with quality, reliability, and cost as your accountability. This is a high-impact role suited for someone who decides with data, not intuition. Unmeasured prompt changes, untraced failures, and model swaps without benchmarks are not acceptable. You work in a modern TypeScript stack — Next.js, Cloudflare Workers and Containers with Hono, Hatchet task queues, Drizzle on Supabase Postgres, Vercel Blob. Browser automation on Browserbase and Playwright is roughly half of the job. KEY RESPONSIBILITIES PROMPT SYSTEMS & STRUCTURED OUTPUTS - Design dynamic prompt templates with conditional logic and context injection that maximise generation quality - Enforce predictable outputs with JSON mode, function calling, Zod/JSON schemas, validators, and repair loops - Own complex LLM workflows (LangChain, LlamaIndex, or custom) that integrate cleanly into application logic BROWSER AUTOMATION - Build and maintain browser automation on Browserbase Functions and Playwright that traverses web flows reliably - Classify screens with a model inside each traversal, and decide what the model handles versus deterministic code - Ship automations as frozen, published workers — versioned, reproducible, and safe to roll back - Orchestrate runs through Hatchet with retries, timeouts, and failure traces that explain every broken run EVALUATION & EXPERIMENTATION - Build evaluation pipelines — test datasets, LLM-as-a-judge, RAGAS-style metrics — and score responses and screen classifications in Langfuse - Trace complex LLM chains to find bottlenecks in cost, latency, and context-window usage - Run A/B experiments across models and prompts through an AI gateway (OpenRouter, Cloudflare AI Gateway); release only on quantitative benchmarks - Re-evaluate models as new architectures emerge; fine-tune when domain requirements demand it PRODUCTION OWNERSHIP - Take AI features from experiment to live production on Cloudflare Workers and Containers, and stay accountable after release - Manage rate limits, fallbacks, and model cost so features stay reliable at scale - Resolve production incidents in owned AI and automation systems with documented root-cause analysis QUALIFICATIONS MUST-HAVE EXPERIENCE - 【5+】 years of software engineering with Node.js, TypeScript, Next.js, and Postgres, including edge or serverless runtimes such as Cloudflare Workers - Production browser automation with Playwright (Browserbase or similar): resilient selectors, retries, failure handling at scale - Production experience with dynamic prompting — content that depends on input variables and injected context - Structured outputs in production: JSON mode, function calling, Zod/JSON schemas - Experience with unified LLM APIs or AI gateways (OpenRouter, Cloudflare AI Gateway): rate limits, fallbacks, cost-effective model selection - LLM observability with Langfuse or similar: tracing, test datasets, scoring integration - Evaluation methodology: RAGAS or custom LLM-as-a-judge systems LEADERSHIP ATTRIBUTES - Decides on benchmarks and trace data, not intuition - Analytical — converts generation logs into metrics a business can act on - Iterative — builds feedback loops and improves continuously - Owns the outcome from experiment to production, and after - Verifies before trusting — treats LLM output as unproven until validated LOCATION Ruby Labs operates within the CET (Central European Time) zone. Applicants from any country are welcome to apply for the position as long as they are located within approximately ± 4 hours of CET. This ensures optimal collaboration and communication during working hours. BENEFITS Discover the perks of being part of our vibrant team! We offer: - Remote Work Environment: Embrace the freedom to work from anywhere, anytime, promoting a healthy work-life balance. - Unlimited PTO: Enjoy unlimited paid time off to recharge and prioritize your well-being, without counting days. - Paid National Holidays: Celebrate and relax on national holidays with paid time off to unwind and recharge. - Company-provided MacBook: Experience seamless productivity with top-notch Apple MacBooks provided to all employees who need them. - Flexible Independent Contractor Agreement: Unlock the benefits of flexibility, autonomy, and entrepreneurial opportunities. Benefit from tax advantages, networking opportunities, reduced employment obligations, and the freedom to work from anywhere. Read more about it here: https://docs.google.com/document/d/1nkrN76JlZkbKj9WSOhlT1_mni_CZeDkHdwfIjPXVwvk/preview?tab=t.0#heading=h.ndsdl4wapxtt Be part of our fast-growing team and seize this excellent opportunity for personal and professional growth! INTERVIEW PROCESS After submitting your application, we conduct a thorough review which typically takes 3 to 5 days, but may occasionally take longer due to the volume of applications received. If we see a potential fit, we proceed with the following steps: - Recruiter Screening (40 minutes) - Technical Interview (60 minutes) - Final Interview (30 minutes) LIFE AT RUBY LABS At Ruby Labs, we move fast, aim high, and expect the same from our team. We’re not here to play small—we’re here to build, grow, and win. That means we look for people who are ambitious, driven, and ready to give their best every single day. This is a place for individuals who thrive under pressure, embrace challenges, and see opportunity in every obstacle. If you’re hungry to achieve, motivated by impact, and want to grow at the speed of your own ambition, Ruby Labs offers the platform to make it happen. Here, effort is matched with reward. We recognize those who go all in and deliver results, and we create space for people who want more—more responsibility, more growth, and more success. #LI-Remote

lead the engineering team, own the architecture and delivery, stay close to the code where it matters.

Location: CAN: Vancouver (333 Seymour St); AU: Melbourne: (260 Burwood Rd) Workplace: Hybrid The role and its impact As a Senior Engineer on the Enterprise Platforms team, you will provide technical expertise across the platforms, integrations, automations, and AI tools that support Xero’s global teams. You will help navigate complex technical challenges from planning through implementation, keeping systems secure, reliable, scalable, and easy to use. Serving as a trusted technical guide, you will offer practical advice on system changes, incidents, and continuous improvement. Working alongside your Platform Lead, you will improve technical standards, reduce system clutter, and build reusable solutions that make daily work smoother for everyone. The team and how they connect The Enterprise Platforms team partners closely with Product Managers, Analysts, Security, Architecture, and Operations to deliver sensible internal solutions. They look after Xero's core SaaS platforms, cloud services, and custom integrations, collaborating through configuration sessions, pair problem-solving, and shared learning. Together, the team focuses on streamlining workflows and maintaining operational excellence across internal technologies. Initially, you will focus on - Enhancing enterprise SaaS platforms, cloud services, and internal automation workflows using APIs and modern platform features. - Designing, developing, and supporting integrations, data migrations, and AI-enabled workflows to connect internal systems safely. - Investigating complex technical incidents, determining root causes, and applying lasting fixes to keep production systems stable. - Creating clear documentation, runbooks, policies, and reusable design patterns to support consistent platform management. Where and how you can work Xero offers a flexible hybrid working model designed to give you balance and connection. You will work from our modern office spaces, coming together with your team on designated boost days to collaborate, connect, and innovate, while enjoying the flexibility to work remotely for the remainder of the week. Here are some of the things we are looking for - A strong background in building, configuring, and supporting cloud services or enterprise SaaS platforms. - Practical experience creating integrations, automations, or system workflows using APIs, scripting, and modern tools. - Demonstrated ability to diagnose technical incidents, resolve root causes, and maintain reliable production environments. - Talent for translating business and user needs into clear, secure, and practical technical solutions. - Expertise in applying security guidelines, access controls, and change management principles within live systems. - Skill in mentoring team members, sharing technical knowledge, and communicating complex technical concepts clearly to diverse stakeholders. Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.

Cursor is looking for a Regional Director Forward Deployed Engineering to lead strategic customer engagements, scale Forward Deployed Engineers, and develop partner delivery capabilities.

Crusoe is looking for a Senior Customer Support Engineer Managed Inference to provide cloud technical support and resolve customer issues.

Задачи: — поддержка качества поставщиков — проверка документации — мониторинг производительности — расследование проблем — поддержка квалификации поставщиков и готовности производства Требования: — знание контроля версий, решения проблем, анализа измерительных систем, производства, Cp/Cpk, анализа видов и последствий отказов процессов, сборки печатных плат, статистики, допусков — владение Excel — опыт в инженерии качества, планировании качества продукции, инспекции первого образца, контроле документации, процессе утверждения производственных деталей, прослеживаемости конфигураций, системе управления качеством, стандарте ISO 9001, чтении инженерных чертежей, методе 5 почему

Location: San Francisco, CA | Seattle, WA 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 Every dollar Anthropic earns and every dollar it spends on compute has to reach the books correctly, and the volume grows with Claude usage. That data comes from across the company and from partners: usage and billing, compute, infrastructure assets, leases. Products and pricing models keep launching, and each one adds another path into the books. Our goal is a continuous close with zero material issues, with audit-grade controls. We're looking for an Engineering Manager to lead the engineers who build the platform that gets us there: one front door for every finance event, an append-only ledger, and an accounting engine that posts each event exactly once. You’ll hire and grow the team, and hold the bar for how the platform is built and run in production. Its users include Claude agents, which read and write through the same APIs and controls as people. You'll partner with engineering teams in Billing, Compute and Infra on shared contracts and APIs, and with product owners and finance operations, who set the priorities and define the needs. You don't need a finance background. If you have led teams that build backend systems where correctness matters, we will teach you the domain. Responsibilities Lead and grow a team of engineers: hire, coach and hold a high bar for engineering quality Own delivery of the front door for finance events and its governed contracts, and the accounting ledger and engine, so every event is posted exactly once and can be traced back to its source Be accountable for the production services that other engineering teams call in real time, such as the tax and collections services in the billing flow Make sure finance apps and agents have the platform support they need: SDKs and frameworks, scoped access, SOX guardrails, observability, and the capabilities finance needs that claude products do not provide out of the box Define and own the reliability and correctness bar: SLOs on the services other teams call, tests that check key upstream calculations on every change, and daily accuracy and completeness checks from source to books Align on technical design, data contracts and APIs with engineering leaders in Billing, Compute and Infra Drive down the time it takes finance to support a new product, program or compute buildout Minimum qualifications Have led teams that build and run high-volume backend systems where correctness matters, such as ledgers, billing, payments, metering or other systems of record Have built or run event-driven systems with idempotent processing, replay and backfill, and know what it takes to keep them correct in production Have sound judgment on platform boundaries, data contracts and API design Have hired and grown engineers, and set engineering standards for platforms Work well across functions, with upstream engineering teams, finance and auditors, and explain technical trade-offs clearly to non-engineering partners, in writing and in the room Preferred qualifications Have 3+ years of engineering management experience, with 8+ years total in the industry Built developer platforms or paved paths used by other builders Worked with Go and with streaming systems such as Pub/Sub or Kafka Built with LLMs and agents, including MCP Built or run a ledger or sub-ledger, with a working knowledge of double-entry accounting Managed teams through audit and compliance work, such as SOX change management, segregation of duties and audit trails Worked with ERP or financial systems, such as Workday Financials or Oracle Financials The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Dubai, United Arab Emirates KAIZEN Asset Management Services, a prominent property management firm in Dubai, is looking for a seasoned and detail-oriented Senior Facilities Engineer to enhance our team. In this role, you will leverage your extensive knowledge and experience in facility management to ensure the operational excellence of our properties, contributing significantly to tenant satisfaction and building performance. As a Senior Facilities Engineer, you will oversee complex building systems and maintenance activities, implementing effective strategies for continuous improvement and cost efficiency. You will lead troubleshooting efforts, manage maintenance personnel, and ensure compliance with all applicable safety regulations. Responsibilities Manage and oversee the operation, maintenance, and repair of all building systems, including HVAC, plumbing, electrical, and structural elements. Conduct in-depth inspections and assessments to identify potential issues and develop solutions to enhance system performance and reduce downtime. Lead and mentor the facilities team, providing guidance and fostering a collaborative environment. Develop and maintain preventive and corrective maintenance programs to ensure all systems function optimally. Coordinate with contractors and vendors for major repairs and renovations, ensuring all work meets the company's quality standards and budget constraints. Prepare and manage the facilities budget, including estimating costs for repairs and upgrades. Conduct energy audits and implement initiatives aimed at sustainability and energy efficiency. Ensure compliance with regulatory requirements, health and safety standards, and environmental policies. Prepare detailed reports on facilities performance and project progress for presentation to management. Stay updated with industry trends, emerging technologies, and best practices in facility management. Requirements Bachelor's degree in Mechanical or Electrical Engineering, Facility Management, or a related field. Minimum of 5-8 years of experience in facilities management, with a focus on engineering roles. Proven experience overseeing building operations and maintenance, preferably in a senior capacity. Strong technical expertise in building systems including HVAC, electrical, plumbing, and fire safety. Excellent leadership and team management abilities. Exceptional analytical and problem-solving skills. Strong communication and interpersonal skills, with the ability to interact effectively with clients and maintenance staff. Proficient in facility management software and Microsoft Office Suite. Knowledge of health and safety regulations and compliance standards. Valid UAE driver's license.

Location: Houston, United States EnerMech provides integrated solutions for complex energy projects worldwide, combining best-in-class equipment and cutting-edge technology that supports the entire asset life-cycle, along with decades of unrivaled expertise. Every move we make is intentional, ensuring energy infrastructure runs smoothly and efficiently. Guided by our values and foundational principles we drive positive impact, delivering seamless, transformative solutions that get it right first time. At EnerMech, our vision is clear and ambitious: to be the leader in specialist technical solutions across all markets, sectors, and regions we engage with. We are committed to optimizing performance, boosting reliability, and enhancing efficiency. Our mission is simple: to work in partnership with our customers to safely provide specialist technical solutions for energy and infrastructure assets globally. As an Engineering Intern at EnerMech, you will have the opportunity to work alongside experienced engineers on a variety of projects. This internship is designed to provide you with hands-on experience in engineering design, analysis, and project execution within the energy sector. You will also have the opportunity to rotate throughout the business and engage with our various business lines and functions, giving you a holistic view of how our business works. Responsibilities: Assist in the design and analysis of mechanical systems and components as an Engineering Intern. Support project teams in developing engineering solutions and specifications related to engineering. Conduct research and gather data to inform project decisions in engineering applications. Collaborate with cross-functional teams to ensure engineering project requirements are met. Participate in site visits and inspections to gain practical experience as an Engineering Intern. Document and present findings, designs, and progress updates related to engineering projects. Contribute to continuous improvement initiatives within the engineering team. Requirements Currently pursuing a degree in relevant engineering degree, including Mechanical, Civil, Electrical, Chemical or Ocean Engineering Strong understanding of engineering principles and engineering concepts. Excellent analytical and problem-solving skills. Strong communication and teamwork abilities. Self-motivated and eager to learn in a fast-paced environment.

Location: Brussels, Belgium We currently have a vacancy for a Database Analytics Engineer fluent in English, to offer his/her services as an expert who will be based in Brussels, Belgium. The work will be carried out either in the company’s premises or on site at customer premises. In the context of the first assignment, the successful candidate will be integrated in the Development team of the company that will closely cooperate with a major client’s IT team on site. Tasks: Design and develop scalable, reliable data transformation pipelines and workflows; Optimise the performance and execution times of dbt projects; Design, implement, and document data quality checks and control tests using dbt capabilities; Establish automated regression testing and validation procedures to ensure pipeline output quality and consistency; Promote and share best practices for maintaining, managing, and evolving dbt projects across the team; Analyse business requirements and translate business analysis documentation into robust, operational data transformation pipelines. Requirements University degree in Computer Science, Information Technology, Systems Engineering. or relevant discipline, combined with minimum 12 years of relevant working experience in IT; Hands-on experience with dbt, preferably dbt Core, for designing, maintaining, testing, documenting, and extending production-grade analytics transformation projects; Experience in analytics engineering and modern data modelling, including layered architectures, reusable macros, data quality controls, and CI/CD practices; Experience developing PySpark transformation scripts for large-scale data processing, while Spark job optimisation would be an asset; Hands-on experience with Apache Iceberg, including partition and schema evolution, snapshot management, and time travel; Experience with job orchestration and scheduling tools, such as Dagster, for managing dbt and Spark workloads; Strong knowledge of SAS-based ETL and legacy codebases; experience migrating SAS workflows to dbt is a strong asset; Excellent SQL skills, including complex transformations, performance optimisation, and incremental processing; Good understanding of Apache Spark execution, partitioning strategies, file layout optimisation, and performance tuning; Strong knowledge of data validation, reconciliation, and testing to ensure functional equivalence when migrating legacy systems to dbt and PySpark; Knowledge of version control and collaborative development practices, including Git, code reviews, release management, and automated deployment pipelines; Excellent command of the English language. Benefits If you are seeking a career in an exciting and dynamic company, where you will offer your services as part of a team of a major European Institution, operating in an international, multilingual and multicultural environment where you can expect real chances to make a difference, please send us your detailed CV in English, quoting reference: (159096/11/2026). We offer a competitive remuneration (either on contract basis or remuneration with full benefits package), based on qualifications and experience. All applications will be treated as confidential. You may also consider all our other open vacancies by visiting the career section of our web site ( www.eurodyn.com) and follow us on Twitter (@EURODYN_Careers) and LinkedIn. EUROPEAN DYNAMICS ( www.eurodyn.com ) is a leading Software, Information and Communication Technologies company, operating internationally (Athens, Brussels, Luxembourg, Copenhagen, Stockholm, London, Nicosia, Hong-Kong, Valetta, etc). The company employs over 1000 engineers, IT experts and consultants (around 3% PhD, 36% MSc and 53% BSc or equivalent). We design and develop software applications using state-of-the-art technology. The group generates annual revenues in the range of EURO 40 million, with an EBITDA in the range of 20%. The value of our contract portfolio exceeds EURO 300 million. EUROPEAN DYNAMICS is a renowned supplier of IT services to government institutions, multinational corporations, public administrations and multinational companies, research and academic institutes. As part of our dedication to the diversity of our workforce, we are committed to Equal Employment Opportunity without regard for race, color, national origin, ethnicity, gender, disability, sexual orientation, gender identity, or religion EUROPEAN DYNAMICS (ED) adheres to the General Data Protection Regulation principles by applying its Privacy Policy as published in www.eurodyn.com/privacy. By submitting an application to this position and by sharing your personal data with ED, you acknowledge and accept its Policy and authorize ED to process your personal data for the purposes of the company's recruitment opportunities, in line to the Policy.

Location: Brussels, Belgium We currently have a vacancy for a Database Analytics Engineer fluent in English, to offer his/her services as an expert who will be based in Brussels, Belgium. The work will be carried out either in the company’s premises or on site at customer premises. In the context of the first assignment, the successful candidate will be integrated in the Development team of the company that will closely cooperate with a major client’s IT team on site. Tasks: Design and develop scalable, reliable data transformation pipelines and workflows; Optimise the performance and execution times of dbt projects; Design, implement, and document data quality checks and control tests using dbt capabilities; Establish automated regression testing and validation procedures to ensure pipeline output quality and consistency; Promote and share best practices for maintaining, managing, and evolving dbt projects across the team; Analyse business requirements and translate business analysis documentation into robust, operational data transformation pipelines. Requirements University degree in Computer Science, Information Technology, Systems Engineering. or relevant discipline, combined with minimum 12 years of relevant working experience in IT; Hands-on experience with dbt, preferably dbt Core, for designing, maintaining, testing, documenting, and extending production-grade analytics transformation projects; Experience in analytics engineering and modern data modelling, including layered architectures, reusable macros, data quality controls, and CI/CD practices; Experience developing PySpark transformation scripts for large-scale data processing, while Spark job optimisation would be an asset; Hands-on experience with Apache Iceberg, including partition and schema evolution, snapshot management, and time travel; Experience with job orchestration and scheduling tools, such as Dagster, for managing dbt and Spark workloads; Strong knowledge of SAS-based ETL and legacy codebases; experience migrating SAS workflows to dbt is a strong asset; Excellent SQL skills, including complex transformations, performance optimisation, and incremental processing; Good understanding of Apache Spark execution, partitioning strategies, file layout optimisation, and performance tuning; Strong knowledge of data validation, reconciliation, and testing to ensure functional equivalence when migrating legacy systems to dbt and PySpark; Knowledge of version control and collaborative development practices, including Git, code reviews, release management, and automated deployment pipelines; Excellent command of the English language. Benefits If you are seeking a career in an exciting and dynamic company, where you will offer your services as part of a team of a major European Institution, operating in an international, multilingual and multicultural environment where you can expect real chances to make a difference, please send us your detailed CV in English, quoting reference: (159096/11/2026). We offer a competitive remuneration (either on contract basis or remuneration with full benefits package), based on qualifications and experience. All applications will be treated as confidential. You may also consider all our other open vacancies by visiting the career section of our web site ( www.eurodyn.com) and follow us on Twitter (@EURODYN_Careers) and LinkedIn. EUROPEAN DYNAMICS ( www.eurodyn.com ) is a leading Software, Information and Communication Technologies company, operating internationally (Athens, Brussels, Luxembourg, Copenhagen, Stockholm, London, Nicosia, Hong-Kong, Valetta, etc). The company employs over 1000 engineers, IT experts and consultants (around 3% PhD, 36% MSc and 53% BSc or equivalent). We design and develop software applications using state-of-the-art technology. The group generates annual revenues in the range of EURO 40 million, with an EBITDA in the range of 20%. The value of our contract portfolio exceeds EURO 300 million. EUROPEAN DYNAMICS is a renowned supplier of IT services to government institutions, multinational corporations, public administrations and multinational companies, research and academic institutes. As part of our dedication to the diversity of our workforce, we are committed to Equal Employment Opportunity without regard for race, color, national origin, ethnicity, gender, disability, sexual orientation, gender identity, or religion EUROPEAN DYNAMICS (ED) adheres to the General Data Protection Regulation principles by applying its Privacy Policy as published in www.eurodyn.com/privacy. By submitting an application to this position and by sharing your personal data with ED, you acknowledge and accept its Policy and authorize ED to process your personal data for the purposes of the company's recruitment opportunities, in line to the Policy.

Location: Dubai, United Arab Emirates We are seeking an experienced and detail-oriented Senior Planning Engineer to lead the scheduling, monitoring, and project control functions across our high-value construction and engineering projects. In this role, you will develop comprehensive baseline schedules, track project progress using Earned Value Management (EVM), identify potential delays, and implement effective mitigation strategies to ensure timely and cost-effective project delivery. Key Responsibilities Baseline Schedule Development: Create, optimize, and maintain detailed baseline schedules (WBS, activity networks, resource loading, and cost loading) using Primavera P6 and MS Project . Progress Monitoring & Reporting: Update master schedules regularly, perform Critical Path Method (CPM) analysis, and evaluate project performance against baseline metrics. Earned Value & Delay Analysis: Conduct Earned Value Management (EVM) tracking (SPI, CPI) and perform Time Impact Analysis (TIA) to assess and defend project delay claims/Extension of Time (EOT). Resource & Cash Flow Management: Prepare resource histograms, manpower allocation plans, and monthly cash flow forecasts in alignment with project budgets. Stakeholder Coordination: Collaborate closely with Project Managers, Site Engineers, Subcontractors, and Consultants to resolve scheduling bottlenecks and streamline workflow execution. Executive Reporting: Prepare detailed weekly, monthly, and dashboard reports highlighting KPI tracking, risk analysis, recovery plans, and progress photos. Requirements Education: Bachelor’s degree in Civil Engineering, Construction Management, or a related engineering discipline. Experience: 7–10+ years of progressive planning and project control experience within large-scale construction, infrastructure, or MEP projects in the UAE. Software Proficiency: Advanced expertise in Primavera P6 (Professional / EPPM). Strong skills in MS Project , MS Excel (advanced formulas, VBA/macros is a plus), and Power BI or AutoCAD. Certifications (Preferred): PMP (Project Management Professional) or PMI-SP (Scheduling Professional). Skills: Strong understanding of FIDIC contracts, delay analysis methodologies, and claim management. Excellent analytical, problem-solving, and communication skills. Benefits Competitive base salary package with performance bonuses. Comprehensive health and life insurance. Professional development opportunities and support for professional certifications. Clear career progression paths within project management.