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Location: New York City, NY; San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As part of our growing Data Science & Analytics team, you will play an instrumental role in Anthropic's mission of building safe and beneficial AI — this time by driving data-informed decisions across the commercial customer lifecycle. This role sits at the intersection of fast-moving sales operations and rigorous statistical analysis. You will work across multiple segments and products, partnering with analytics engineers, fellow data scientists, and go-to-market leadership to turn complex commercial data into actionable strategy. You will own measurement and analysis for new logo acquisition through activation, expansion, and retention for a rapidly scaling, consumption-based AI platform. You've worked in cultures of analytical rigor before, and you're eager to help shape the norms and best practices of a growing data science function at a pivotal moment in the company's growth. Key responsibilities Define key metrics, build measurement frameworks, and maintain core reporting to evaluate GTM success across segments and products Analyze commercial and user data to surface actionable insights, size opportunities, and influence roadmaps and go-to-market strategy Develop hypotheses and apply rigorous causal inference methods — controlled experiments, synthetic controls — to make clear, actionable recommendations Investigate anomalies, conduct root cause analyses, and provide data-driven guidance on priorities and decisions Build statistical models, optimization frameworks, and simulations to support and automate commercial decision-making processes Present analyses and recommendations to both technical and non-technical stakeholders, including GTM leadership Establish foundational data practices and help scale analytics infrastructure to support rapid product and commercial iteration Minimum qualifications Proficiency in Python, SQL, and data visualization tools Expertise in experimental design, causal inference, statistical modeling, and A/B testing, particularly in high-scale technical environments Demonstrated ability to translate complex data into clear, actionable insights for both technical and business audiences Strong written communication and presentation skills Ability to work effectively in fast-moving, ambiguous environments — comfortable creating structure and driving progress where neither yet exists Preferred qualifications 5+ years of experience in data science or analytics roles A strong track record in multi-segment, multi-product B2B sales or commercial analytics, especially with consumption-based revenue models Experience with AI/ML products, large language models, or developer tools in the AI/ML ecosystem Genuine interest in Anthropic's mission of developing safe and beneficial AI 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: $285,000 — $380,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: New York, NY (HQ); San Francisco, CA Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE Ramp's Strategic Finance team sits at the center of how the company allocates its time and resources. We're hiring across three complementary tracks — and looking for people with sharp financial instincts, a builder's mindset, and the drive to take on a large scope quickly. Whether you lean toward GTM strategy, FP&A infrastructure, or broad strategic partnership, this is a rare opportunity to shape a pre-IPO company at a pivotal moment in its growth. WHAT YOU'LL DO - Build and own detailed financial and operational models with the highest quality and accuracy - Use data to influence key strategic decisions across Product, GTM, and business leadership - Lead planning analyses for cross-functional teams, evaluating tradeoffs across growth, efficiency, and resourcing - Identify and develop KPIs; build dashboards to monitor performance and communicate insights to stakeholders - Partner closely with business leaders to translate strategy into execution and drive accountability - Help run bi-annual budgeting and headcount planning cycles - Manage company performance against financial targets — identifying where to course-correct and where to accelerate - Build and maintain internal tools that reduce manual work and improve data accuracy across the finance org WHAT YOU NEED - 1–4 years in Investment Banking, Management Consulting, VC/PE, or Corporate Finance at a top-tier technology company - Excellent financial modeling and quantitative / data analysis skills - Extreme attention to detail with a high regard for precision - Exceptional verbal and written communication skills - Track record of developing and maintaining relationships with internal and external partners - A "get things done" mentality — you dissect complex problems, find solutions, and drive them to completion with a high degree of autonomy - Comfort operating in ambiguity and adapting to evolving priorities NICE TO HAVES - Expertise with Looker, SQL, and/or Python - Systems thinking — you design processes to be reliable, scalable, and maintainable - Curiosity about AI tools — prior experience is a plus, but not required BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: Hamburg Workplace: Hybrid adjoe builds the technologies behind mobile apps growth and monetization. With our core product Playtime Arcade, we've become the global leader in rewarded advertising, an ad unit built on a simple premise: users earn real in-app rewards for engaging with new apps. The result is one of the most effective value exchanges in adtech, connecting advertisers and publishers with over 770 million users annually. Building Infrastructure behind 5.5 Billion Daily Ad Requests The Cloud Engineering team is the core of our tech unit, the underlying infrastructure that every other team depends on to ship software and grow the business. Behind rewarded ad experience, the partner-facing dashboards, the ML pipelines, and the ad delivery systems serving millions of users daily, there is one team making sure it all stays online, performant, and cost-efficient. 400 million user events daily, traffic spikes of 150,000+ requests per second, and a data lake that feeds data scientists, BIs, and real-time ML inference across the entire ad stack. To handle this reliably and cost-efficiently, the team runs Kubernetes with event-driven autoscaling and Karpenter, manages Kafka clusters for real-time streaming, and provisions everything through Terraform. Rather than defaulting to managed AWS services, the team actively replaces them with open-source alternatives like Druid, Airflow, Grafana, Prometheus, Spark, Trino, MLFlow, Jupiter Hub, Elasticsearch, and Fluentbit as part of a deliberate move toward cloud-agnostic architecture. Cost efficiency is treated as an engineering constraint, not an afterthought, including AI-based anomaly detection on infrastructure costs. Your Mission & Who We Are Looking For: - 3+ years in DevOps, SRE, or Platform Engineering. You've designed and operated cloud infrastructure at scale, with hands-on experience deploying and managing containerized applications in Kubernetes. At adjoe, you'll be working across a stack that includes Kafka, Druid, Airflow, Spark, Terraform, and Gitlab running on Kubernetes clusters across data centers. - Deep in the AWS ecosystem. You have a strong understanding of AWS services (EKS, DynamoDB, SNS, SQS, IAM, Lambda) and manage infrastructure as code through Terraform. You know the tradeoffs between managed AWS services and open-source alternatives, and have opinions about when each makes sense. - Microservice event-driven architecture is your daily context. You understand how microservices communicate: topics, queues, object storage, and can support backend teams building high-performance Go services across distributed environments. - Reliable CI/CD is a product requirement. You build pipelines that are fast, predictable, and low-maintenance, ensuring smooth delivery without becoming a bottleneck. - Hands-on with emerging infrastructure. You're comfortable migrating existing workloads to self-hosted solutions as well as introducing new tools boost business results. 🌎 We welcome applications from talent worldwide and provide relocation support to Hamburg, Germany for those ready to join our team. What’s in It for You? At adjoe, you’re not here to just close JIRA tickets, you’re helping build the infrastructure behind one of the most impactful platforms in adtech. The systems you work on will reach hundreds of millions of users and power billions of decisions every day. - Go Big. Own projects with impact on 770M users and push adtech boundaries. - Move Fast. Ship solutions multiple times a day, learn from results, and keep momentum. - Be Direct. Solve problems openly and collaborate across teams. - Thrive Together. Grow with a diverse, global team of people from over 40 different countries that learn from each other. - Have Fun. Celebrate wins, enjoy daily victories, and bring your energy. We welcome applications from people who will contribute to the diversity of our company.

Location: Berlin, Germany Workplace: hybrid At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a Founding Engineering Team Lead to join one of our clients ' team in Berlin. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you. Key Responsibilities: Lead and grow a small, high-performing engineering team while remaining hands-on Design, build, and review production backend and platform code alongside the team Own delivery of the engineering roadmap, balancing speed, quality, and security Act as a technical leader by setting architecture direction and enforcing engineering standards Contribute directly to critical features, integrations, and platform foundations Establish lightweight engineering processes that enable fast execution without bureaucracy Mentor engineers through code reviews, pairing, and technical guidance Contribute hands-on in design and build architecture, configure systems, code 70% of the time in GoLang. Remove blockers and unblock delivery across backend, frontend, data, and DevOps Collaborate closely with CEO, CPTO, and product leadership on technical and execution decisions Support hiring, onboarding, and technical evaluation of engineers Foster a culture of ownership, pragmatism, and low ego Build whole Security platform setup from scratch Partner closely with backend and AI engineers to design secure service boundaries and deployment models Troubleshoot and resolve complex production incidents across infrastructure, networking, and application layers Build PoCs and validate infrastructure and security design decisions in an early-stage environment Support compliance readiness by enabling controls, logging, and evidence collection for security frameworks Continuously improve platform cost efficiency, reliability, and operational maturity This role reports directly to CEO & CPTO Must have skills: 10+ years of professional software engineering experience 3+ years of experience leading engineering teams while remaining hands-on 3+ years of GoLang experience 3+ years experience with AWS in production environments Strong code quality bar and experience with architectural reviews Ability to context-switch between technical topics and people leadership Strong execution mindset and comfort operating under ambiguity Hands-on coding mentality; can build things from scratch including security architecture yourself Hands-on experience with Docker, Kubernetes (EKS) and containerized workloads Experience with CI/CD pipelines (GitHub Actions or similar) Experience with monitoring, logging, observability (Grafana, OpenTelemetry, Prometheus) Experience with Coding CoPilots (Claude Code, GitHub Copilot, AWS CodeWhisperer, Codex, etc.) Knowledge of Experience supporting production SaaS platforms High ownership mentality, startup mindset, and ability to move quickly Experience in startup or scale-up environments Low ego, high commitment, and a true tech startup mentality Excellent English communication skills Nice-to-have requirements: Previous experience as a founding or early-stage Engineering Manager Experience in cybersecurity , identity, or enterprise SaaS platforms Exposure to DevOps, SRE, or data engineering Experience scaling teams and systems simultaneously Experience with security architecture, identity security, or security engineering Familiarity with compliance frameworks (NIS2, DORA, ISO 27001, SOC 2) Understanding of OAuth/OIDC, API tokens, IdP, scopes, SSO, SCIM, roles, RBAC/ABAC, service accounts Familiarity with cloud identity and security controls (e.g. IAM, CloudTrail, Azure Active Directory / Entra ID ) Hands-on with SIEM platforms such as Splunk, Microsoft Sentinel, or IBM QRadar Experience designing permission models, identity graphs, or access control frameworks Knowledge of tokenization, Zero Trust principles , least privilege, and continuous verification Experience with Security related to AI/LLM systems, agent logic, or willingness to learn fast Familiarity with AI agent behavior , LLM security, or agent sandboxing Previous experience in cybersecurity , identity startups You are a fan of rock or metal music Excellent German communication skills Benefits: Founding Team Member Equity — ESOPs in a well funded cybersecurity company. Competitive Compensation — salary aligned with market, flexible early-stage arrangements possible. Founding Team Member Status — shape the company from day one and own critical security technical decisions. Fresh Funding Secured — immediate runway to build, hire, and execute fast. Security Contribution — contribute to security tech architecture across identity, AI agents, and enforcement. High Autonomy — freedom to design and build without corporate overhead. Work with a Technical CEO and CPTO — fast iteration, strong alignment, clear direction. Cutting-Edge Domain — identity security, SaaS-to-SaaS access, AI agent governance. Massive Learning Curve — quickly gain depth in cybersecurity, identity, and AI systems. Fast Career Path — opportunity evolve into higher leadership as we scale the engineering team Berlin Location — top-tier tech environment with strong cybersecurity and AI ecosystems. Direct Impact — your architecture and code become the foundation of the entire platform. Best Equipment and Tools - High quality equipment and modern tools to help you do your best work from day one. Team Offsites - Regular team offsites designed to build strong connections, alignment, and shared momentum.

Location: Berlin, Germany Workplace: hybrid At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a Founding Backend Engineer(Go) to join one of our clients ' team in Berlin. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you. Key Responsibilities: Develop and maintain backend applications using Go Design and optimize cloud-based solutions using AWS services (EC2, Lambda, S3, SQS, SNS, etc.) Design, use and manage databases, including PostgreSQL, Neo4J, Redis, and Elasticsearch Develop, manage, and optimize containerized applications using Docker Automate processes using Bash/Python scripting Optimize and maintain RESTful APIs, ensuring security and performance Work closely with frontend engineers, DevOps, and product team to deliver robust applications Monitor, debug, and improve backend performance, reliability, and scalability Implement caching, messaging queues, and event-driven architectures where needed Build whole platform from scratch 5+ years of GoLang experience Hands-on coding mentality; can build things from scratch and familiar with different architectures Hands-on experience with Docker, Kubernetes (EKS) and containerized workloads Experience designing RESTful and gRPC APIs and using frameworks like Gin Hands-on experience with messaging systems (e.g., SQS , Kafka ) Experience with CI/CD pipelines (GitHub Actions or similar) Experience operating PostgreSQL (RDS / Aurora), Neo4J(or similar) Experience with AI agents , LLM-based systems, MCP, RAG, Prompts, Embeddings, Vector, etc Experience with AI stack (AWS Bedrock, LangChain, pgvector or similar) Experience with Infrastructure as Code (Terraform) Experience with monitoring, logging, observability (Grafana, OpenTelemetry, Prometheus) Ability to troubleshoot production issues end to end Experience with Coding CoPilots (Claude Code, GitHub Copilot, AWS CodeWhisperer, Codex, etc.) Experience supporting production SaaS platforms Strong understanding of SaaS integrations and app-to-app permission flows High ownership mentality, startup mindset, and ability to move quickly Experience in startup or scale-up environments Low ego, high commitment, and a true tech startup mentality Strong problem-solving skills and ability to work in a collaborative environment Excellent English communication skills Nice-to-have requirements: Experience working with Java Ability to code in Python Experience with security architecture, identity security, or security engineering Familiarity with compliance frameworks (NIS2, DORA, ISO 27001, SOC 2) Experience with AWS in production environments Exposure to graph-based modeling (identity graph, access graph, risk graph) Familiarity with compliance frameworks (NIS2, DORA, ISO 27001, SOC 2) Understanding of OAuth/OIDC, API tokens, IdP, scopes, SSO, SCIM, roles, RBAC/ABAC, service accounts Familiarity with cloud identity and security controls (e.g. IAM, CloudTrail, Azure Active Directory / Entra ID ) Hands-on with SIEM platforms such as Splunk, Microsoft Sentinel, or IBM QRadar Experience designing permission models, identity graphs, or access control frameworks Knowledge of tokenization, Zero Trust principles , least privilege, and continuous verification Experience with Security related to AI/LLM systems, agent logic, or willingness to learn fast Familiarity with AI agent behavior , LLM security, or agent sandboxing Previous experience in cybersecurity , identity startups You are a fan of rock or metal music Excellent German communication skills Benefits: Founding Team Member Equity — ESOPs in a cybersecurity company Competitive Compensation — salary aligned with market, flexible early-stage arrangements possible Founding Team Member Status — shape the company from day one and own critical technical decisions Fresh Funding Secured — immediate runway to build, hire, and execute fast Security Contribution — contribute to security architecture across identity, AI agents, and enforcement High Autonomy — freedom to design and build without corporate overhead Work with a Technical CEO and CPTO — fast iteration, strong alignment, clear direction Cutting-Edge Domain — identity security, SaaS-to-SaaS access, AI agent governance Massive Learning Curve — quickly gain depth in cybersecurity, identity, and AI systems Fast Career Path — opportunity evolve into leadership as we scale the engineering team Berlin Location — top-tier tech environment with strong cybersecurity and AI ecosystems Direct Impact — your architecture and code become the foundation of the entire platform Best Equipment and Tools - High quality equipment and modern tools to help you do your best work from day one Team Offsites - Regular team offsites designed to build strong connections, alignment, and shared momentum

Location: Home Based - APAC; Office Based - Beijing, China; Office Based - Taipei, Taiwan Ubuntu is the most widely used Linux distribution in the world, delivering kernels across a vast matrix of versions, architectures, and configurations – with up to 15 years of security and maintenance commitments for Long Term Support (LTS) releases. Ensuring the quality and reliability of these kernels demands a dedicated, systematic approach to testing at scale. The Canonical Kernel Team is looking for a Test Engineer to take ownership of our kernel testing strategy and infrastructure. You will design and maintain test plans covering functional correctness, stability, performance, and security. You will build and evolve automated test frameworks – including stress testing, fuzzing, code coverage analysis, and regression detection – that not only must remain effective across many concurrently supported kernel versions spanning years of maintenance, but must be able to scale with the high demand for Ubuntu kernels (currently more than 160 under active support). The successful candidate will bring strong Python skills, familiarity with Linux kernel internals, and experience building test infrastructure that scales. You will work closely with kernel engineers to catch regressions early, validate fixes, and ensure every kernel we ship meets the highest standards of reliability. Location: This role will be based remotely in the APAC region, except for Taipei, Taiwan, and Beijing, China, which are office-based locations. What your day will look like Design, develop, and maintain comprehensive test plans covering functional correctness, stability, performance, and security for Ubuntu Linux kernels Build and improve automated test infrastructure for continuous kernel quality validation across multiple kernel versions and architectures Maintain long-lived test suites that evolve alongside Ubuntu’s many concurrently supported kernel versions spanning years of maintenance Develop and maintain CI/CD pipelines for continuous kernel quality validation Conduct performance benchmarking and regression detection across kernel releases Measure and improve kernel code coverage, identifying gaps in test coverage and creating tests to address them Execute and analyze stress tests covering CPU scheduling, memory management, I/O subsystems, networking, and filesystem workloads Develop and maintain fuzzing harnesses to discover kernel vulnerabilities and reliability issues using tools such as syzkaller, Trinity, or custom fuzzers Collaborate regularly and proactively with a globally distributed team Contribute to upstream test suites and testing frameworks Document test methodologies, results, and coverage gaps What we are looking for in you Significant programming experience in Python Experience with test frameworks such as LTP, kselftest, xfstests, stress-ng, fio, or similar Experience designing and executing system-level tests: functional, stress, performance, or regression testing Familiarity with CI/CD systems (Jenkins, GitHub CI, or similar) Experience maintaining test suites over long periods, adapting to evolving software across multiple supported versions Familiarity with Linux (Ubuntu or Debian preferred but not required), Linux kernel internals and subsystems Experience with Linux systems administration and automation Solid background with git Well-organized, self-starting and able to deliver to fixed schedules Professional written and spoken English with excellent communication skills Ability to travel twice a year, for company events up to two weeks each Additional skills that you might also bring Familiarity with kernel fuzzing tools and techniques (e.g. syzkaller, Trinity, AFL, or custom harnesses) Experience with code coverage instrumentation (e.g. gcov, kcov, LLVM source-based coverage) Knowledge of kernel tracing and observability tools (e.g. ftrace, perf, bpftrace, eBPF) Familiarity with static analysis tools (e.g. sparse, smatch, Coccinelle) as part of a testing workflow Experience with fault injection frameworks (e.g. failslab, fail_make_request) for reliability testing Prior experience with test infrastructure at scale (provisioning, orchestration, result aggregation) Experience with Ubuntu/Debian packaging or Snap Knowledge of virtualization technologies (KVM, QEMU) and container runtimes Cloud infrastructure experience (AWS, GCP, Azure, or OpenStack) Prior involvement with open source testing communities or projects What we offer you Your base pay will depend on various factors including your geographical location, level of experience, knowledge and skills. In addition to the benefits above, certain roles are also eligible for additional benefits and rewards including annual bonuses and sales incentives based on revenue or utilisation. Our compensation philosophy is to ensure equity right across our global workforce. In addition to a competitive base pay, we provide all team members with additional benefits, which reflect our values and ideals. Please note that additional benefits may apply depending on the work location and, for more information on these, you can ask in the later stages of the recruitment process. Fully remote working environment - we’ve been working remotely since 2004! Personal learning and development budget of 2,000USD per annum Annual compensation review Recognition rewards Annual holiday leave Parental Leave Employee Assistance Programme Opportunity to travel to new locations to meet colleagues at ‘sprints’ Priority Pass for travel and travel upgrades for long haul company events About Canonical Canonical is a pioneering tech firm that is at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Canonical has been a remote-first company since its inception in 2004.​ Work at Canonical is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical provides a unique window into the world of 21st-century digital business. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration. #LI-remote

Location: Mesa, AZ, USA Bradken is a global manufacturer of custom-engineered products and solutions for the resources sector. Our products operate in some of the toughest mining environments in the world, where performance, reliability, innovation, and practical engineering support are critical to customer success. We partner closely with some of the largest mining companies globally, delivering solutions that improve equipment performance, productivity, safety, and lifecycle valu About the Role We are seeking an Applications Engineer to support the development, improvement, and customization of Bradken's mining equipment product lines, with a primary focus on Crawler Systems for Electric Rope Shovels and Hydraulic Excavators . This is more than a traditional design engineering role. While strong mechanical design capabilities are fundamental, this position also requires engineers who are comfortable working directly with customers, participating in technical discussions, presenting solutions, and supporting product evaluations in the field. You will collaborate across Engineering, Product Management, Manufacturing, Supply Chain, Sales, and end users to transform operational challenges into practical engineering solutions. The role offers excellent exposure to mining operations, customer problem-solving, and the performance of large-scale equipment operating in demanding environments. Success in this role requires someone who enjoys both technical engineering work and customer interaction. You should be comfortable explaining technical concepts, presenting recommendations, gathering customer requirements, and building credibility through engineering expertise. This is an outstanding opportunity for engineers who want to see their designs perform in real-world applications rather than working exclusively behind a desk. While previous mining experience is beneficial, we are equally interested in candidates with strong machinery design fundamentals who are eager to learn the mining industry, develop product expertise, and immerse themselves in customer challenges and field applications. Key Responsibilities You will work across product design, reverse engineering, modelling, drafting, simulation, technical analysis, field evaluations and customer support activities. You will: Create and update 3D models, detailed drawings, and engineering documentation. Support reverse engineering, product improvements, and new concept development. Complete engineering calculations, analysis, simulations, and technical verification activities. Collaborate with Manufacturing and Supply Chain teams to ensure designs are practical, manufacturable, and cost-effective. Participate in customer discussions to understand operational requirements and technical challenges. Present engineering solutions, product recommendations, and technical findings to both internal and external stakeholders. Support field evaluations, product inspections, and site investigations. Conduct visits to customer and manufacturing locations to gather data and support product performance reviews. Capture specifications, product data, and design updates within Bradken's Product Lifecycle Management system. Provide technical guidance to Sales, Operations, and Customer Support teams. Contribute to safety, quality, continuous improvement, and product innovation initiatives. This role is primarily office/shop-based with regular interaction with customers and operational teams. Travel to customer, mine, and manufacturing sites is expected. What We're Looking ForRequired Qualifications Bachelor's Degree in Mechanical Engineering or equivalent. Experience in mechanical design, product design, reliability engineering, or product development. Strong proficiency in 3D CAD modelling, detailed drafting, and engineering analysis. Experience working with manufactured products, design changes, and technical documentation. Ability to collaborate effectively with engineering, manufacturing, commercial, and operational teams. Strong verbal communication and presentation skills. Current driver's license and ability to travel regionally. Spanish language capability is highly preferred. French language capability would be considered an asset. Ideal Industry Backgrounds We are particularly interested in candidates with experience in: Mining equipment Mobile equipment Heavy industrial machinery Material handling equipment Construction equipment Power generation equipment Rotating equipment Industrial manufacturing Structural mechanical systems Crushers, conveyors, processing equipment, or similar industrial products Machinery design experience is strongly preferred. Candidates coming from industries involving large industrial equipment, heavy mechanical assemblies, mobile machinery, or power generation environments will likely find the strongest alignment with this opportunity. While all engineering backgrounds will be considered, candidates whose experience is primarily focused on building services, HVAC systems, commercial building design, or MEP consulting may find the role less aligned due to the heavy equipment and industrial machinery focus of the position. Technical Skills Valued Experience with the following tools and technologies is highly regarded: Siemens NX ANSYS Siemens Teamcenter PLM 3D Scanning Technologies Product Lifecycle Management Systems Finite Element Analysis (FEA) Reverse Engineering Processes Location & Work Authorization This position is based in Phoenix (Mesa), Arizona, USA . Candidates must either be currently located within reasonable commuting distance of the Phoenix metropolitan area or be willing to relocate at their own expense. Please note that Bradken is unable to provide visa sponsorship or employment sponsorship for this position . Applicants must have valid authorization to work in the United States at the time of application and for the duration of employment. Bradken Benefits A strong safety-first culture Competitive salary and performance bonuses Educational Assistance Program Flexible work options Global career opportunities Learning & development support Employee Assistance Program (EAP) Paid parental leave and wellbeing initiatives Why This Role? This role offers a unique opportunity to combine mechanical design engineering , customer engagement , and field exposure within the global mining industry. If you enjoy designing large-scale machinery, solving complex engineering challenges, presenting technical solutions, learning directly from customer operations, and seeing your work applied in some of the world's most demanding mining environments, this role will provide an exciting next step in your career. If you are interested in joining a team that is making a significant impact in the industry, we invite you to submit your application, along with your resume and a concise cover letter outlining why this position aligns with your career aspirations. Shortlisting for candidates will commence immediately. Everyone has a story... become a part of ours! How We Hire About Our Screening Process: As we work with teams around the world, time‑zone differences can make live screening challenging. To support a fair, consistent, and inclusive evaluation, we may invite candidates to complete a one‑way video screening at a time that suits them. If you require adjustments or an alternative format, we’re happy to discuss this. Before commencing employment , you will be required to complete a psychometric assessment and a pre-employment medical, including drug and alcohol testing. WE RESPECTFULLY REQUEST NO APPROACHES FROM RECRUITMENT AGENCIES. Bradken is an Equal Opportunity Employer. We are dedicated to fostering a diverse, inclusive, engaging, and flexible work environment for our employees, as we believe that remarkable outcomes arise when individuals are empowered to express their authentic selves in their work. All employment decisions will be based on merit, competence, performance, and business needs.

Location: Belgrade, Serbia Workplace: remote At Novakid, we’re building the world’s most engaging online English-learning platform for kids. With 80,000+ students and 2,500+ teachers across 15+ countries, we’ve proven the demand. Now we’re scaling up — and we want you to help us design and build the future of AI-driven education. We’re not just writing code. We’re creating a smart, personalized learning experience powered by modern AI models (OpenAI, Anthropic, Google, etc.), robust backend systems, and a passionate team that believes in changing how children learn. Your role We’re looking for a Senior+ Backend Engineer who’s ready to step beyond coding and take technical leadership responsibilities within our core platform team. You’ll be shaping architecture, mentoring engineers, and making strategic technical decisions that will directly influence how millions of kids learn languages. This is a hybrid role that combines: Deep hands-on coding in Python & modern backend technologies. Architectural leadership, designing scalable, reliable systems. What you’ll do Lead the design and evolution of our backend architecture (microservices, event-driven systems, AWS serverless, data pipelines). Drive technical decisions and ensure best practices in code quality, security, and scalability. Mentor and support backend developers, reviewing code and helping them grow as engineers. Design and build robust APIs and data flows powering AI-driven language learning features. Partner with Product and Data Science teams to turn cutting-edge AI models into real-world educational experiences. Anticipate technical risks, propose solutions, and balance speed with long-term scalability. What you bring 5+ years of professional backend engineering experience (Python 3.8+ is a must) Proven track record in system design, architecture, and scaling distributed systems. Strong knowledge of PostgreSQL, Redis, FastAPI, SQLAlchemy, Celery. Hands-on experience with microservices & AWS serverless stack (Lambda, SQS/SNS, EventBridge, etc.). Solid understanding of software engineering best practices: code reviews, testing, CI/CD, observability, security. Experience mentoring developers or leading technical initiatives. Fluent English (we work across 15+ countries). Nice to have Background in startups or high-growth environments. Exposure to edtech or e-commerce platforms. Interest in data-intensive systems Why join us? Shape the future of AI-powered education for kids worldwide. 100% remote, flexible schedule (core hours GMT+3). A small, highly skilled team where your decisions have direct impact. A culture of ownership, trust, and learning — we want you to grow into a Tech Lead / Architect role. Unlimited paid time off. Competitive compensation, bonuses, and stock options — we succeed together.

Location: Ethiopia; Egypt; Philippines; Jamaica; Pakistan; South Africa About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, logistics firms, digital agencies, SaaS companies, and high-growth service businesses across multiple industries. Unlike traditional outsourcing agencies, we place you directly with a client where you become a valued member of their team with long-term growth potential. About the Company Our client is a rapidly growing U.S.-based shipping and logistics consultancy helping businesses optimize parcel, freight, and international shipping operations. They work with companies across manufacturing, e-commerce, healthcare, food & beverage, automotive, and professional services, delivering cost-saving logistics solutions and ongoing account management support. The company has established systems, proven sales processes, and structured onboarding designed to help high-performing SDRs succeed quickly. Role Type: Full-time Engagement: Independent Contractor Job Summary We are hiring a driven and resilient Sales Development Representative (SDR) for a high-volume outbound sales role focused on identifying qualified business opportunities for a leading U.S. logistics company. This is an excellent opportunity for candidates looking for a remote sales job, B2B SDR role, or work-from-home outbound sales position with strong career progression potential. The role requires confidence on the phone, excellent English communication skills, and the discipline to consistently hit daily activity targets. Top performers will have the opportunity to advance into a higher-level BDR role responsible for booking appointments with qualified prospects. Key Responsibilities Conduct high-volume outbound prospecting calls to U.S.-based businesses Engage decision-makers in professional business conversations Identify qualified shipping and logistics opportunities Maintain accurate CRM records and follow-up activities Use sales tools including Pipedrive CRM and PhoneBurner dialer Meet and exceed daily KPIs and outbound activity expectations Collaborate with leadership and sales teams to improve outreach performance Follow structured outreach scripts and sales processes while adapting naturally to conversations Daily KPIs & Performance Expectations Minimum 300 outbound dials per day Approximately 60 live conversations daily 10 qualified leads identified per day (primary KPI) Requirements Strong English fluency with professional verbal and written communication Neutral or easily understandable accent for U.S.-based business conversations Comfortable making high volumes of outbound sales calls daily Ability to confidently engage prospects beyond scripted conversations Availability to work U.S. business hours Monday–Friday Reliable high-speed internet connection and quiet home office setup Basic proficiency with CRM systems, email, and sales software Strong coachability and willingness to follow proven systems Dependable, punctual, and highly disciplined work ethic Nice-to-Have Qualifications Previous SDR, BDR, telesales, or outbound sales experience B2B sales experience preferred Familiarity with platforms like Pipedrive, Salesforce, or HubSpot Experience selling services or solutions Strong organization and follow-up skills Competitive mindset with a history of hitting targets Logistics, shipping, or supply chain experience is a plus Ideal Personality & Culture Fit We’re looking for someone who is: Coachable and growth-oriented Resilient under pressure and rejection Competitive yet team-focused Highly accountable and self-motivated Professional in communication and conduct Detail-oriented with strong process discipline Positive, energetic, and solutions-focused Benefits 💰 Competitive base compensation with performance-based incentives 🚀 Clear promotion pathway into a BDR II role for top performers 🌎 Fully remote work environment 🎯 Structured onboarding and sales training provided 📚 Opportunity to develop elite outbound sales and prospecting skills 🤝 Work with an established U.S.-based company with proven systems and leadership support

Location: South Africa About Huzzle At Huzzle, we connect exceptional talents with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries such as SaaS, MarTech, FinTech, and EdTech. Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team. Role Type: Full-time Engagement: Independent Contractor About the company Our client is an innovative AI-driven media agency at the forefront of the creator economy and digital marketing space. Specializing in cutting-edge generative technology, the team develops sophisticated AI digital twins for high-level business owners, coaches, and consultants. Their proprietary systems automate the entire content lifecycle—from video production to multi-channel distribution—enabling global leaders to scale their online presence and lead generation without the need for constant filming. With over 1,000 successful implementations, this fast-growing company is redefining how professional expertise is packaged and delivered across social platforms and digital education. The team is driven by a mission to eliminate the friction of content creation through advanced automation and realistic synthetic media. Candidates will join a results-oriented, forward-thinking environment that thrives on innovation, technical excellence, and high-impact digital transformation for a diverse range of international industries. Job Summary We are looking for a high-caliber Client Success Manager to become the operational heartbeat of a rapidly growing creative agency. Our team is at the forefront of the AI revolution, producing hyper-realistic digital clones for high-profile business owners to scale their social media presence. As we expand, we need a seasoned professional to take full ownership of the client journey. This isn’t a support role; it is a leadership position where you will bridge the gap between clients and our production team, and build the processes that will define our future. If you are an experienced CSM who thrives in fast-paced, founder-led environments and is excited by AI-driven content, we want to hear from you. Key Responsibilities Act as the primary, proactive point of contact for all clients via WhatsApp, Slack, and email, ensuring no query goes unanswered. Own the end-to-end client onboarding process, setting clear expectations and establishing trust from day one. Manage high-volume content delivery schedules, coordinating between internal virtual assistants, editors, and copywriters to meet deadlines. Perform rigorous quality control on all AI-generated video outputs to ensure brand consistency and technical excellence before delivery. Oversee social media scheduling across platforms including Instagram, Facebook, and YouTube Shorts. Identify operational bottlenecks and create SOPs to move the business toward a more mature, scalable infrastructure. Proactively monitor account health, identifying and resolving potential retention risks before they escalate. Requirements Proven experience as a Client Success Manager, Account Manager, or Delivery Manager, specifically within a marketing or creative agency. Exceptional professional English (written and spoken) with the ability to manage client expectations with authority and empathy. High-level organizational skills with the ability to track multiple deliverables across 20+ active accounts simultaneously. Demonstrated reliability and a commitment to a full-time, dedicated role; we are looking for a long-term partner, not a freelancer with multiple projects. Technical comfort and curiosity; you must be willing to dive into AI tools like HeyGen and ChatGPT as part of your daily workflow. A "builder" mindset—the ability to take ownership of an operationally immature business and implement structure without constant direction. Ability to handle difficult conversations professionally and de-escalate client concerns independently. Direct experience with AI video generation tools or short-form video content agencies. Proficiency in Notion for project tracking and documentation. Experience working directly with founders in early-stage, fast-moving companies. Background in personal branding or social media strategy for professional sectors (e.g., Real Estate, Medical, Finance). Benefits 💻 Fully Remote: Work from anywhere with international teams 🚀 Opportunity to lead in the cutting-edge AI content space 🤝 Peer Community: Connect with high-performing sales professionals in our network 🧭 Ongoing Support: Receive guidance from Huzzle before and after placement 💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals

Location: Remote; Canada Workplace: remote About Welo Life Sciences    Welo Life Sciences, a Welo Global brand, is a specialized language and technology partner serving pharmaceutical, CRO, and medical device organizations operating in regulated global markets. We deliver regulator-ready translation, linguistic validation, and localization solutions that support clinical trials, pharmacovigilance, regulatory affairs, labeling, and global commercialization. Our approach combines subject matter expertise with ISO-certified quality processes and technology-enabled workflows designed to integrate seamlessly into life sciences operations. With extensive experience supporting global product development and post-market requirements, Welo Life Sciences helps organizations accelerate timelines, protect data integrity, and maintain compliance across languages and regions. All solutions are delivered within a secure, audit-ready framework supported by seven ISO certifications.  welolifesciences.com We are currently seeking experienced and highly skilled English to Canadian French linguists to join our dynamic Life Sciences program specializing in Pharmacovigilance. This is an exciting opportunity to work on vital medical and clinical content, contributing to global health and safety initiatives. In this role, you will play a critical part in ensuring the accurate and timely delivery of translations under tight deadlines. Many assignments are time-sensitive, requiring quick turnarounds to meet client expectations while maintaining the highest standards of quality. Join our global team and help us make a difference in global health by delivering high-quality translations that support critical medical research and patient safety. Key Details About the Role Translate documents from English (US) to French (Canada) , with a focus on pharmacovigilance content. Perform Translation, Copy Editing (CE), and Machine Translation Post Editing (MTPE) tasks as required, ensuring high-quality standards and consistency. Translate specialized medical and pharmaceutical content, including Product Monographs, Clinical Study Documents, and Medical Information Letters. Adhere to tight deadlines, especially for projects received during EU close-of-business hours, with delivery required for early morning. Work within the client-provided XTM and Phrase (Memsource) CAT tools (licenses will be provided). Maintain professionalism, responsiveness, and reliability to meet client expectations and ensure timely delivery of assignments. Requirements Proven experience in medical and pharmaceutical translation, particularly for pharmaceutical companies or life sciences translation agencies in Quebec or Canada. Specific expertise in translating Product Monographs and Medical Information Letters. Bachelor’s degree in translation or a bachelor’s degree in science (e.g., pharmacology, biology, biochemistry) combined with a translation degree from a Quebec or Canadian university. Membership in a Professional Order (e.g., OTTIAQ) is highly preferred. Fluency in English (source language) and native-level proficiency in French (Canada) (target language). Availability during US time zone business hours (location can be any country). Strong attention to detail, consistency, and commitment to meeting deadlines under time-sensitive conditions. Familiarity with CAT tools, specifically XTM and Phrase (Memsource) (training provided if necessary). Ability to handle sensitive and technical content with confidentiality and precision. Bonus if You Have Experience working with high-volume, time-critical translation projects. Strong background in pharmacovigilance, medical, or pharmaceutical content. Previous experience working in collaborative environments with strict client guidelines. Positive track record of professionalism and reliability in previous roles. Before Applying Please note there will be an assessment as part of our onboarding and quality procedure, please only apply if you're willing to complete our assessment.   Please ensure your latest English CV accurately reflects your Life Sciences and Medical translation experience, including years of experience specifically in Life Sciences, the document types you’ve translated, CAT tool you've used, and relevant details also your contact information (email AND phone number).   Beware of recruitment scams. Welo Global and all of its brands never recruit through direct messages on social media or WhatsApp, and never asks candidates to pay money for a job. Official emails come only from @welocalize.com, @welodata.ai, or @hire.lever.co, and all applications go through jobs.lever.co/weloglobal. Be wary of unexpected offers, generic email addresses (such as Gmail or Yahoo), and requests for fees or sensitive information. Report suspicious messages and learn more: Recognizing Scams and Confirming Legitimate Welocalize Communications – Welo Global   We look forward to receiving your application!   Job Reference: #LI-JC1

Location: Home based - EMEA; Office Based - London, UK Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder-led, profitable, and growing. The role of a Technical and Reporting Accountant at Canonical: If you are passionate about the technology industry and want to work for a company that aligns with your interests, we might be the place for you! Canonical, and our world class Ubuntu product, attracts some of the leading talent from around the world. Come and work with exceptional people and advance your career in Finance! Our Finance team is growing and it's a really exciting time to join the team. We are looking for bright, motivated people who have a passion for making a difference. You will be seeking an opportunity to drive process improvements and change, input your ideas and truly contribute to a highly productive team. We are looking for an exceptional Technical and Reporting Accountant with IFRS experience to help us ready the business for public market scrutiny through our planned IPO. The right candidate will have domain expertise and a passion for IFRS. Location: This role may be office based in London, or Remote in EMEA Time Zones. What your day will look like Research and interpret new and existing accounting standards Provide technical accounting advice for complex transactions Draft accounting papers and policy documentation Monitor regulatory changes and assess their impact on the business Assist with the year end external audit process and support the internal audit team Assist in the month end reporting process to deliver timely and accurate information to management Ensure compliance with relevant accounting standards (e.g. IFRS, local GAAP) Assist in the preparation of statutory accounts and annual reports across multiple subsidiaries and jurisdictions Support the finance team's wider plans to prepare for an IPO Improve the efficiency of financial processes and procedures and monitor compliance Share knowledge between team members to ensure cover is available when needed Actively develop your own skills to ensure current knowledge of applicable standards and regulations Establish strong relationships with key colleagues outside the wider finance team What we are looking for in you Exceptional academic track record and subsequent career performance. Bachelor's degree in Accounting or equivalent. Qualified accountant (ACCA, ACA, ACMA, CPA, etc.). Strong knowledge of IFRS and local GAAP. Experience in financial reporting and statutory accounts preparation. Experience at a large public accounting firm, or public multinational corporate accounting department preferred. NetSuite or similar enterprise grade systems experience. Business level written and spoken English. Sincere personal motivation aligned with our mission. International travel 2-4 times a year for company events up to two weeks long. In addition we expect that you will match our values, by being: Precise, taking care to deliver correctness and clarity. Reliable, delivering high quality work that builds trust and confidence. Accessible, collaborating to build products and systems that are usable. Adroit, blending enthusiasm, knowledge, adaptability, style and character. What we offer colleagues We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. Distributed work environment with twice-yearly team sprints in person Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Team Member Assistance Program & Wellness Platform Opportunity to travel to new locations to meet colleagues Priority Pass and travel upgrades for long-haul company events About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open-source projects and the platform for AI, IoT, and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence; in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since our inception in 2004.​ Working here is a step into the future and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.

Location: Lappeenranta, Finland About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The Role We are seeking a skilled and motivated Data Center Electrical Lead to support the operation and maintenance of critical infrastructure within a mission-critical data center environment in Lappeenranta, Finland. The successful candidate will have a strong electrical background and experience working with power distribution systems, industrial maintenance, or critical facilities operations. This role is responsible for ensuring maximum uptime, reliability, and safety of data center electrical and mechanical systems while supporting 24/7 operations. Key Responsibilities Critical Infrastructure Operations Operate and maintain critical electrical systems including: UPS systems Medium- and low-voltage switchgear Transformers Backup generators ATS/STS equipment Battery systems Power distribution units (PDUs) Monitor facility systems using BMS/EPMS platforms. Perform routine inspections and operational checks of critical infrastructure. Maintenance & Troubleshooting Perform preventive and corrective maintenance on electrical and mechanical systems. Diagnose and troubleshoot equipment failures and alarms. Support emergency response and incident recovery activities. Coordinate with vendors and contractors during maintenance activities. Safety & Compliance Follow Finnish electrical safety regulations and company safety procedures. Support lockout/tagout (LOTO) procedures and safe switching operations. Maintain compliance with SFS 6002, occupational safety requirements, and site policies. Ensure all maintenance activities are properly documented. Operational Support Participate in 24/7 shift operations, including nights and weekends. Maintain accurate logs, reports, and maintenance records. Assist with commissioning and testing of new equipment and infrastructure upgrades. Support continuous improvement initiatives for operational efficiency and reliability. Qualifications Required Vocational qualification, diploma, or degree in: Electrical Engineering Industrial Maintenance Automation Technology Power Systems Experience working with electrical infrastructure or industrial systems. Knowledge of: Power distribution systems Electrical troubleshooting Preventive maintenance practices Ability to read electrical schematics and single-line diagrams. Good English communication skills. Preferred Data center or mission-critical facility experience. SFS 6002 Electrical Safety certification. Experience with medium-voltage systems. Knowledge of HVAC/cooling infrastructure. Experience using CMMS, BMS, or EPMS systems. Finnish language skills are an advantage. 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: Armenia; Spain; Serbia; Poland; Kyiv City; Kyiv; Odesa; North Macedonia Workplace: remote About Provectus Provectus is an AWS Premier Partner and an Anthropic Strategic Partner, working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide.   Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture.   Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements. Where this role sits You will work in a small, senior pod alongside an FDE and an FDX, Forward Deployed Executives (FDX) own the commercial relationship and the business outcome. Works alongside the client's leadership or C-suite level to move the client's KPIs. Forward Deployed Engineers (FDE) embed with a client, map the client workflow, identify the business problem underneath it, design and build a working AI solution, present to the client, and transfer the knowledge to the client's team. Owns technical direction of the whole solution. Senior AI Engineer. When an FDE comes back from the client with the business problem, you will help turn that into an agentic system that runs in production and will be responsible for evaluation, observability, and guardrails.  You'll have real ownership of components and of the technical decisions inside them. Requirements: Mindset Proactive and self-directed; you push for clarity rather than waiting for a ticket Excellent communication and problem-solving skills Comfort with ambiguity and ownership. B2+ English, comfortable collaborating across distributed, multicultural teams. Technical depth 5+ years in software or ML engineering, with production systems you were accountable for . Solid AI/ML foundations. You understand what the models do well enough to reason about failure modes. Shipped to production LLM applications and agentic workflows — not demos, not POCs, not notebooks. Agentic orchestration: multi-step workflows, graph-based orchestration, tool use, state management, and recovery from partial failure Experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) and agent frameworks. Experience building and optimizing RAG systems in production. Strong engineering fundamentals. Full-stack mindset, comfortable across AI, backend development, and cloud infrastructure. Python and/or TypeScript proficiency; depth matters more than stack. Dropped into an unfamiliar codebase, you're productive. Hands-on AWS in production: Bedrock, Bedrock AgentCore, Lambda, ECS, S3, SQS, ECR, or similar. GCP or Azure is a plus. Cloud-native delivery: containers, ECS or Kubernetes, IaC, and CI/CD applied to AI pipelines. You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured, how you produced ground truth, and what gated a release. Model and agent monitoring, drift detection. Cost and latency discipline: model tiering, caching, and the ability to say what a workload costs to run before it runs. Hands-on production experience with the Claude ecosystem —  Claude Code, CLAUDE.md, hooks, skills files.  Spec-driven development — writing the intent, constraints, and acceptance criteria before you let an agent build — is a strong plus. MCP: you can say why an agent would prefer it to a REST integration. Having authored a server is a plus. Responsibilities: Work in a pair with an FDE and an FDX. Build and ship production GenAI systems into the customer’s environment (cloud-native data, LLM-based, and agentic AI solutions). Build and optimize RAG systems for production use cases Build the evaluation harness before you build the feature. Write production code across the stack — AI, backend services, data pipelines. We choose tools to fit the customer. Integrate AI components into backend services and RESTful APIs Take systems to production on AWS (GCP or Azure where the customer requires it): containerised, CI/CD. Implement LLMOps and AgentOps practices: agent tracing, prompt and version management, cost and latency monitoring, regression testing, drift detection Start from the blueprint, contribute to enablement and handover: clear documentation, runbooks, and pairing with the client engineers who will inherit the system. Feed reusable components and lessons back into the Provectus Blueprints Participate in technical discussions and architectural decisions Conduct model evaluation, improve failure modes you find, optimize model performance, efficiency, and reliability Mentor junior and mid-level AI engineers, conduct code reviews and share knowledge across the team through documentation, presentations, and workshops. Nice to Have: Experience in one of the industries: financial services, insurance, healthcare. Consulting, professional services, or other embedded customer-facing delivery. AWS and Claude Code Certifications A2A: you can explain agent-to-agent interoperability CI/CD pipeline experience (GitHub Actions, GitLab CI) Practical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines. Experience in an additional language (Go, TypeScript, or Rust). Experience with Apache Spark, Apache Airflow, Kafkа What We Offer: The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from strategy through first deployment A forward-deployed model working in small, senior teams alongside FDE and FDX A growing AI delivery practice where you help build the tooling and frameworks, not just use them Remote-friendly culture Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance Career growth; we actively develop our engineers Access to the latest AI tools and premium subscriptions Long-term B2B collaboration Private medical insurance or a budget for your medical needs Paid sick leave, vacation, and public holidays Equipment and all the tech you need for comfortable, productive work How we hire:   Intro conversation. The role, your background and aspirations, tech questions. Technical interview with live engineering sessions. Real problems, your own editor, you may use an LLM assistant  HR Interview. Soft skills and expectations HM interview. Tech questions; a live engine

Location: European Union Workplace: Remote ABOUT THE ROLE We're looking for someone who owns delivery - not tracks it, not reports it, owns it. You'll be responsible for a specific area: games, features, or platform work. From the first conversation about a requirement through to production - you're on the hook for the whole thing. This isn’t a coordination-only role. We need someone with previous hands-on software engineering, DevOps, release engineering, or similar technical experience who can actively improve and automate the way software is built, tested, and released. You set the timeline, track it, and communicate changes before people start asking questions. If there's a blocker, you've already seen it. If a release isn't ready, you say so - clearly and early. You'll look at how work flows through your area and fix what's broken. Not just follow whatever process exists. You'll design something that actually works, iterate on it, and make it better over time. A key part of the role will be identifying manual steps, bottlenecks, and failure points in development and release workflows, and then building practical automation to remove them. This may include improving CI/CD pipelines, automating release checks, connecting tools through APIs, and developing scripts or lightweight internal solutions. Quality is yours too. Not QA's problem alone, not the tech lead's problem. You own release readiness: is it tested, is it documented, does anyone know the operational risk. If the answer is no, it doesn't ship. You'll work closely with product, engineering, QA, and client-facing teams, keep them aligned, and report directly to the VP of Delivery. What we expect from you First 30 days - Understand how delivery actually works in your area - not how it should work, how it actually works - Map where work gets stuck, what the recurring blockers are, and who the key people are - Meet everyone who matters: product owners, tech leads, QA, release managers, client teams - Write up what you found and share it with the VP of Delivery First 60 days - Take ownership of delivery tracking for your area - Pick the biggest workflow problem you found and start fixing it - Show you can catch a blocker before it causes a delay - at least twice First 90 days - Own and communicate a delivery forecast that stakeholders actually trust - Ship at least one release with no last-minute surprises - quality gates passed, documentation done, everyone aligned - Present your view on how delivery should work in your area going forward What we're looking for - 3+ years in an engineering delivery, software delivery leadership, or similar role where you owned outcomes, not just process - Previous hands-on experience as a Software Engineer, DevOps Engineer, Release Engineer, Build Engineer, Developer Productivity Engineer, or in a similarly technical role. - Strong understanding of the software development lifecycle, including builds, automated testing, versioning, deployment, monitoring, and rollback. - You catch problems early. Not because you're lucky, but because you know what signals to watch - You've worked across engineering, product, and QA and you know how to keep them moving together - Strong communicator - you can give a clear, honest delivery update to a VP without needing a slide deck - You care about quality beyond closing tickets - release readiness, testing coverage, operational risk are things you think about naturally - You're genuinely interested in the product you're delivering, not just the process around it - You actively look for repetitive manual work and replace it with reliable, maintainable automation. Nice to have - Background in iGaming, gaming, or another regulated product environment - Experience in a B2B or multi-operator delivery model - Familiarity with incident management and post-mortems - Experience working with external studios or third-party development partners - OKR-based planning and how it connects to delivery cadence - Jira or similar tooling - configuration, not just usage     WHAT WE OFFER - Competitive Salary - Quarterly Bonuses - Unlimited Paid Time Off - Unlimited Paid Sick Leave - Remote & Flexible Working - Private Medical Insurance - Financial Support for Life Events - Professional Development Budget - International Exposure - Regular Company Events *Benefits may vary depending on location and contractual agreement By submitting your application, you acknowledge that your personal data will be processed in accordance with our Privacy Policy https://playson.com/privacy. #LI-DNI

Location: Remote (USA) Workplace: remote Arcadia is dedicated to happier, healthier days for all. We believe that there is a better healthcare world – one powered by data. Our platform transforms complex, diverse data into a unified foundation for health, helping organizations deliver better care, boost revenue, and lower costs.   We’re a team of fiercely driven individuals committed to making healthcare more sustainable—and we’re looking for passionate people to help us get there.   For more information, visit arcadia.io.     Why This Role Is Important to Arcadia  Arcadia's data platform powers population health analytics for health plans, ACOs, and provider groups across the country. As a Lead Analytics Engineer — Data Modeling & Quality, you sit at the intersection of data quality ownership and analytical data modeling. You'll own the SQL and DBT layer that transforms raw clinical and claims data into trusted, production-grade datasets, while also serving as the quality authority for the data those models produce. This is a hybrid role — deeper SQL and DBT expertise than a traditional Data Health Professional, with a more analytical and model-focused scope than a Data Engineering role. You're less focused on pipeline infrastructure and more on the logic, shape, and trustworthiness of the data itself.   What Success Looks Like In 3 months Independently triage and resolve pipeline data quality issues Author at least one new DBT model or refactor an existing one to meet current modeling standards Understand the end-to-end pipeline from ingress through silver and gold, and be able to trace a data quality issue to its root layer In 6 months What You'll Be Doing DATA MODELING & DBT DEVELOPMENT Author, review, and maintain DBT models using Spark/Hudi from ingest through bronze and silver Help clients understand their data model, assumptions, and limitations through intentional validation Troubleshoot and fix issues, then write DBT tests to catch issues proactively Optimize SQL performance for slow-running jobs Partner with Data Engineering on table design, partition strategy, and incremental patterns DATA QUALITY OWNERSHIP Triage and classify data quality alerts, distinguishing source-level issues from transform-layer failures Design and maintain volume monitors and DQ monitors (null rate, distribution, future-date checks) Author and apply clinical DQ rules (entity volume, field coverage, LOINC coverage, referential integrity) and claims validation rules across silver and gold layers Conduct quality reviews for connector promotions — evaluating silver entity coverage, validation rule pass rates, and bronze-to-silver transformation correctness Own the ticket queue for DQ, attribution, hierarchy, and customer-specific data quality issues, writing clear customer-facing findings CROSS-FUNCTIONAL QUALITY COLLABORATION Lead data quality reviews during connector installation and promotion (UAT → PRD), including claims validation playbooks and null analysis Partner with Data Engineering on root-cause triage for errors, ingress anomalies, and silver table issues surfaced through data quality monitoring Coordinate with the Measure Implementation Team (MIT) when data quality issues affect quality measure scores Contribute to and enforce data modeling standards across teams TECHNOLOGIES Data modeling: DBT-Spark, SQL, Claude Warehousing: Amazon Redshift, Apache Hudi, AWS Athena Data quality: volume/DQ monitors, DBT tests Orchestration: Argo Workflows, Airflow Source control: Git / GitHub, PR-based review workflows Observability: Grafana, Jira Healthcare data: Claims (plan/professional/pharmacy), EHR (clinical entities), MPI What You'll Bring Education: Bachelor's or Master's degree in Computer Science, Statistics, Business, Economics, or a related field Experience: Advanced SQL: window functions, complex CTEs, aggregation patterns, performance tuning on columnar databases DBT: hands-on experience authoring models, tests, macros, and yml documentation; familiarity with incremental strategies Healthcare data literacy: working knowledge of claims data (professional, institutional, pharmacy), clinical data (EHR entities), and common quality dimensions (member months, coverage rates, null patterns) Data quality mindset: ability to differentiate source data issues from transform issues, design systematic validation checks, and communicate data quality findings clearly Skills: Clear communicator — able to translate technical findings for clients and non-technical stakeholders Strong analytical judgment — you can look at a distribution and know when something is wrong Ability to manage several projects simultaneously, leveraging AI tooling to stay organized and efficient Genuine desire to learn and apply AI tools for operational efficiency Would Love For You To Have Experience with Spark SQL and Hudi table format Familiarity with data quality monitoring tools Comfortable operating in an AI-first environment using Claude to build/verify various day-to-day workflows Exposure to population health analytics concepts: HEDIS measures, risk adjustment, value-based care metrics Python scripting for data investigation and automation Experience with Argo Workflows or similar orchestration platforms Healthcare data standards: ICD-10, CPT, NDC, LOINC, NPI What You'll Get Work alongside a talented team on some of the most complex and rewarding challenges in healthcare data Flexible, fully remote work environment with the resources and support to do your best work Exposure to senior leaders Be on the front lines of AI adoption — use cutting-edge tools to accelerate your work and shape how the team operates in an AI-first environment Make a meaningful impact on healthcare data operations by improving the quality, reliability, and trustworthiness of data that drives patient care decisions Be a part of a mission driven company that is transforming the healthcare industry Become a member of the talented, energized, diverse and purpose-driven Arcadian Community About Arcadia Arcadia.io helps innovative providers and payers across the country transform healthcare to reduce cost while improving patient health. We do this by aggregating large amounts of disparate data, applying algorithms to identify opportunities to provide better patient care, and making those opportunities actionable by physicians at the point of care in near-real time. We are passionate about helping our customers drive meaningful outcomes. We are growing fast and have emerged as a market leader in the highly competitive population health management software market and have been recognized by industry analysts KLAS, IDC, Forrester, and Chilmark for our leadership. For a better sense of our brand and products, please explore our website. Protect Yourself If you have concerns about the authenticity of a job offer or recruitment-related communication claiming to be from Arcadia, we encourage you to verify by contacting us directly at (781) 202-3600 and select option 3. For more information, visit our website. This position is responsible for following all Security policies and procedures in order to protect all PHI under Arcadia's custodianship as well as Arcadia Intellectual Properties.  For any security-specific roles, the responsibilities would be further defined by the hiring manager.

Location: Colombia You Are passionate about technology, wake up every morning to experiment, learn and develop new solutions! About Us At DBSync we provide opportunities to use technology that creates innovative and next generation data integration products which helps our employees to cultivate their creativity and sense of belonging. DBSync is a leading provider for data integration and Data warehousing services for both cloud/SAAS-based-on-demand applications. We were incubated by Salesforce.com (as a part of Avankia), before getting spunned off as a separate company. DBSync provides data integration as a SAAS-based, Standalone or hosted integration at a competitive price with a plethora of benefits for business users. Our main motto is to provide a strong foundation for businesses in solving complex problems and automating their workflows while acting as a pillar of support for all their data integrations needs. At DBSync we encourage innovation and creativity and our team is diverse, comprising a nice mix of cultural blends. We are a family where each talent is recognised and honed for the best of the individual and the company as a whole. We maintain a very professional, learn and excel vision with a hint of a start-up-like environment making each individual feel important and responsible with an equal opportunity to grow to the sky’s limit! If you have a spirit of enthusiasm to grow beyond horizons, a determination to work hard, confidence to achieve success and influence future visions and products and be a successful part of the next gen trend,DBSync is the place for you! Our Value System 1. We genuinely care 2. We do not waste time on manual or mundane task 3. We have a fun environment 4. We own it 5. We are experts on what we do 6. We win together DBSync has been: We have been rated 4.7 / 5 on G2. We have got around 125 reviews in 2023. Based on the reviews G2 has awarded DBSync following badges: -Best Relationship- Winter 2024 -Leader Americas Winter 2024 -Best Results - Winter 2024 -Best Usability - Winter 2024 About the Role We're looking for a Solutions Sales Engineer to join DBSync. This is a hybrid role that sits between sales and delivery: you'll support the sales cycle through technical discovery, demos, and proof-of-concepts, and you'll work alongside our services team to scope and stand up integration solutions for Mid-Market and Enterprise clients. DBSync is an iPaaS company. Our value is reliable, maintainable integration between CRMs, accounting systems, and ERPs. The ideal candidate pairs strong integration and data fundamentals with the customer-facing skill to translate technical solutions into business value and uses AI and analytics to make those solutions smarter, not as a substitute for solid integration design. Roles and Responsibilities: Solution Design & Scoping: Work with sales and customers to understand source and target systems, data volumes, and sync requirements; design integration solutions and scope the work needed to deliver them. Technical Demos & POCs: Prepare and deliver demos, proof-of-concepts, and trials of DBSync integrations, showing how data flows and syncs across CRM, accounting, and ERP systems. Integration Delivery Support: Partner with the services team to build, configure, and validate integration workflows — field mapping, transformation logic, sync triggers, scheduling, and error handling. Data & Systems Expertise: Apply working knowledge of SQL, APIs, and the object models of common CRM and accounting/ERP systems to design integrations that hold up in production. Customer Engagement: Support clients through onboarding and adoption, troubleshoot integration issues, and recommend improvements. AI & Analytics Enablement: Where it adds value, layer AI-driven features (automation, predictive insight, conversational interfaces) onto integration solutions; identify where analytics can surface ROI for the customer. Feedback & Strategy: Gather client feedback, identify common patterns, and feed them back into product, templates, and sales positioning. Governance & Compliance: Ensure solutions meet data governance, security, and compliance standards. Enablement: Train sales teams on integration capabilities and how to position them; document solutions for repeatable delivery. Cross-functional Collaboration: Act as the bridge between customers, sales, engineering, product, and customer success from concept through operational delivery.s. Skills and Qualifications: Required: Bachelor's degree in Engineering, Computer Science, Business, or a related field — or equivalent experience. 3+ years in technical sales, solutions/sales engineering, integration consulting, data management, or a related technical-customer-facing role. Hands-on knowledge of CRM systems (Salesforce, Microsoft Dynamics, HubSpot) and accounting/ERP systems (QuickBooks Online, QuickBooks Desktop, Microsoft Dynamics 365 Business Central, NetSuite, or Xero). Solid grasp of integration concepts: APIs (REST/SOAP), data mapping and transformation, sync logic, scheduling, and error handling. Proficiency with SQL and comfort working with APIs and tools like Postman. Excellent communication and customer-facing skills, with the ability to translate technical concepts into business value for non-technical stakeholders. Strong problem-solving, teamwork, and collaboration abilities. Fluency in English. Nice to Have: Experience with iPaaS or middleware platforms (DBSync, MuleSoft, Boomi, Workato, Celigo, etc.). Familiarity with AI tools and frameworks (LLMs, chatbots, predictive analytics, automation platforms) and how to apply them to integration and data workflows. Experience with BI/analytics tools (Power BI, Tableau). Scripting or automation experience (e.g., Python). Additional languages beyond English. Certifications in data analytics, AI/ML, or relevant CRM/ERP platforms. Work Shift: U.S. Shift (8:00 AM CST to 5:00 PM CST) Location: Colombia (Remote) For more information about DBSync, visit https://www.mydbsync.com Video: https://www.youtube.com/playlist?list=PLJzycdoERLoekPWNkXEsuih807TQAEnnB

Location: Hanover, Germany Join the global community that enhances and elevates the experience of the most prestigious luxury brands in the world! CXG, a leading customer experience agency servicing premium and luxury brands, is looking for mission-based Customer Experience Evaluators who are existing luxury brand customers. As a Freelance Luxury Brand Evaluator, you can perform several evaluations per month and provide your valuable feedback via a questionnaire. Your assignments will be as diverse as our luxury clients and industries, ranging from fashion and high-end jewelry to cosmetics, luxury watches, automotives, and more. Your evaluations may involve visiting a store, returning a purchase, buying a product online, or making an appointment with a store. Please note: Applicants should not have worked for luxury retail brands to ensure the integrity and objectivity of the evaluations. Your feedback can influence brand strategies and help shape a brand's strategy, making this an opportunity for you to have a meaningful impact on the luxury market. Responsibilities: Conduct discreet evaluations of your favorite luxury brands in-store, online, or sometimes both. Provide objective feedback about your experiences. Choose assignments that align with your profile and interests. Complete questionnaires after each evaluation. Comply with all given project objectives and special requirements from the luxury brand we represent How to Apply: To become an evaluator with us, follow these simple steps: Register on live.cxg.com and receive an email with your credentials. Log into our platform and tell us more about yourself. Once this is done, our team will verify your profile and contact you. Check the ‘welcome package’ and pass the general certification. You’re now ready! You are now available for assignments and can browse and apply for any opportunities that interest you. About CXG: CXG is a global customer experience agency servicing premium and luxury brands. Our 12 offices around the world are able to service 70 countries. We are a team of 220+ customer experience experts and a network of over 80,000 evaluators worldwide. Learn more about what we do at www.cxg.com . Enjoy the flexibility of working from our mobile application where you can search and apply for missions, take certifications, submit surveys, and much more, all on the go. Contact us for more information! Requirements Must be 18 years or older. Existing client of premium and luxury brands. Not contractually engaged with any retail brands, to maintain integrity. Punctual, organized, detail-oriented, reliable. Observant, passionate about customer experience. No prior experience needed, we look for honest feedback from real customers.