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Location: New York City, NY; San Francisco, CA; Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As part of our growing Data Science and Analytics team, you will play an instrumental role in our company's mission of building safe and beneficial artificial intelligence by driving data-informed decision making across our organization. You bring experience from high-bar teams and are eager to help shape the norms and best practices of a growing data science team as Anthropic continues to scale. In this unique company, technology, and moment in history, your work will be critical to informing our strategy as we deploy safe, frontier AI at scale to the world. You'll be the senior data science leader for Model Experience and a strategic thought partner to product, engineering, and research leaders. Working where frontier AI research reaches the public, you'll help shape model roadmap and launch decisions, bringing a point of view on how users experience our models and what good looks like beyond benchmark scores. As a tech lead manager, you'll also hire and manage a team of data scientists, setting their agenda, personally leading the highest-stakes analyses, and raising the bar for how data shapes model and product decisions. Responsibilities: Act as a strategic thought partner to product, engineering, and research leaders, helping shape model roadmap priorities, launch decisions, and the major bets the team makes Set the data science agenda for Model Experience, deciding where the team can have the most impact on model development and launch decisions and what it should deprioritize Hire, manage, and develop a team of data scientists, coaching them to move from answering questions to shaping decisions Frame the most important and ambiguous questions about model quality and user experience, size the opportunities, and make clear recommendations, including when they challenge the current direction Define how Model Experience measures success, establishing the core metrics and measurement frameworks across external products and internal testing that align teams and leadership on what matters Set the standard for experimentation and causal inference across Model Experience, including where launches lack a clean A/B test, and personally lead the highest-stakes analyses Turn complex analyses of model and user behavior into clear narratives and recommendations that drive decisions with senior leadership and cross-functional partners Establish foundational data practices and shape the analytics infrastructure Model Experience needs to support rapid iteration and decision-making as our models and products evolve You may be a good fit if you: Have extensive experience in data science, including leading analytics for a product or research area at significant scale Have 3+ years managing data science teams, including setting team direction, hiring, and developing senior data scientists Have been a trusted partner to senior product, research, and business leaders, with clear examples of changing a roadmap or high-stakes decision Bring strong product sense and business judgment, including the ability to frame the right question and take a position with incomplete information Have deep expertise in experimental design, causal inference, and statistical modeling at high scale, with enough fluency in Python and SQL to stay hands-on and guide others' technical work Communicate clearly in writing and in presentations, including to executive audiences Have a bias for action and thrive in ambiguous, fast-moving environments where you must create clarity and drive progress Care about the company's mission of building helpful, honest, and harmless AI Strong candidates may also have: Experience with AI/ML products, large language models, or developer tools in the AI/ML ecosystem Experience as a tech lead manager or player-coach, balancing hands-on technical work with people management Experience building or scaling a data science team in a fast-growing organization Experience working closely with Product or Research teams, especially on LLM or AI products Comfort working with unstructured data 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: $380,000 — $460,000 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: San Francisco, CA or Remote, US Our vision is to build the next generation platform to enable easy and fast creation of audio and video content powered by cutting-edge AI. Building a revolutionary way to record, transcribe, edit, and mix spoken audio and video comes with a series of unique challenges and requires solving hard and complex problems. As a lead product data scientist on the team, you will play a critical role in shaping our growth strategy, up-leveling our experimentation culture, and scaling our business. What You’ll Do Conduct in-depth analysis to shape product PLG motion and B2B strategy. Develop deep understanding of the product ecosystem and identify opportunities to drive activation, engagement, and monetization through actionable insights. Leveraging AI tools to build and maintain self-service analytics enabling stakeholders to access reliable metrics, size opportunities, design experiments, and interpret results independently. Improve execution rigor of product teams by owning success metrics and opportunity sizing. Brain buddy with product and engineering teams for day-to-day experiment design, deployment, and analysis. Provide creative solutions for tricky experimentation scenarios. Evolve experimentation culture and practices within the company. What You Bring 5–8 years of experience in a Data Scientist or similar role. 3+ years working in a growth function. Strong business and product intuition to identify opportunities in the growth ecosystem. Strong knowledge of statistical analysis and A/B tests. Strong SQL skills and proficient in at least one programming language such as Python or R. Excellent communication and collaboration skills. Curiosity, savviness to navigate in a dynamic environment, and a growth mindset. Having worked at a fast-growing start-up is a plus. The base salary range for this role is $200,000 - $250,000/year. Final offer amounts will carefully consider multiple factors, including prior experience, expertise, location, level, and may vary from the amount above. About Descript Descript is building a simple, intuitive, fully-powered editing tool for video and audio — an editing tool built for the age of AI. We are a team of 150 and the backing of some of the world's greatest investors ( OpenAI , Andreessen Horowitz , Redpoint Ventures , Spark Capital ). Descript is the special company that's in possession of both product market fit and the raw materials (passionate user community, great product, large market) for growth, but is still early enough that each new employee has a measurable influence on the direction of the company. Benefits include a generous healthcare package, 401k matching program, catered lunches, and flexible vacation time. Our headquarters are located in the Mission District of San Francisco, CA. We're hiring for a mix of remote roles and hybrid roles.  For those who are remote, we have a handful of opportunities throughout the year for in person collaboration.  For our hybrid roles, we're flexible, and you're an adult—we don't expect or mandate that you're in the office every day. We do believe there are valuable and serendipitous moments of discovery and collaboration that come from working together in person. Descript is an equal opportunity workplace—we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. We believe in actively building a team rich in diverse backgrounds, experiences, and opinions to better allow our employees, products, and community to thrive.

Location: Москва В Центре робототехники Сбера мы обучаем модели, которые должны управлять роботами в сложных реальных условиях. Для этого мало просто собрать большое количество данных: нужно понимать, какие записи полезны, где в них ошибки и каких примеров модели не хватает. Сейчас нам нужен Data Analyst / Data Engineer в Data Conveyor Team, который будет находить проблемы в данных, оценивать их качество и проверять через обучение моделей, как состав датасета влияет на результат. Это роль на стыке анализа данных, инженерии данных и практических ML-экспериментов: нужно не только строить проверки качества, но и запускать обучение или дообучение моделей на разных версиях данных, сравнивать метрики и превращать выводы в конкретные решения по сбору, разметке, фильтрации и выборке. Первый этап отбора на эту вакансию — общение с AI-рекрутером. После отклика ждите сообщение от него, диалог займёт примерно 10 минут. Задача AI-рекрутера — уточнить недостающие детали и ускорить рассмотрение вашей кандидатуры. AI-рекрутер только начинает свой путь, поэтому просим относиться с пониманием. Ваш опыт и участие помогут сделать его удобным и полезным для всех! Обязанности * строить автоматические и полуавтоматические пайплайны проверки качества данных, чтобы находить технические и смысловые дефекты до попадания данных в обучение * запускать или сопровождать обучение и дообучение моделей на разных версиях датасетов, чтобы измерять влияние качества, состава и фильтрации данных на метрики модели * разрабатывать метрики качества данных и использовать их как диагностический сигнал до тех пор, пока не доказана связь с успешностью модели на роботе и в тестовых сценариях * формировать фильтры, уровни качества и стратегии выборки по качеству, разнообразию, задачам, объектам, окружениям, роботам, источникам и типам ошибок * проводить сравнительные эксперименты с составом данных, чтобы проверять, какие данные действительно помогают модели, а какие можно исключить или отправить на доработку * анализировать ошибки модели и переводить их в конкретные запросы на данные: что дособирать, что переразметить, что удалить, что добавить в выборку * готовить теги задач, объектов, окружений и ошибок, эталонные наборы примеров, правила контроля качества разметки и критерии приемки * исследовать, как изменения камер, конфигурации робота, калибровки или других сенсоров влияют на качество данных и результат модели * готовить краткие технические отчеты: гипотеза, данные, метрики, ограничения, выводы, рекомендуемые изменения для релиза датасета или плана сбора данных. Требования * 3+ года опыта в data analysis, data engineering, ML engineering, applied ML или близкой области * уверенный Python: pandas/polars, numpy, visualization, notebooks, batch data processing * SQL и опыт работы с большими датасетами, manifests, metadata, dashboards или analytics pipelines * понимание экспериментального дизайна: ablations, контрольные группы, statistical reliability, интерпретация метрик * базовое понимание ML training / eval loop и связи состава данных с метриками модели * умение анализировать мультимодальные данные: видео, временные ряды, actions, task metadata, labels * способность переводить наблюдения из данных и ошибок модели в actionable recommendations * хорошая письменная коммуникация для отчетов, журналов решений и постановки задач смежным командам. Будет плюсом: * опыт с robot learning, VLA, imitation learning, RL, CV/VLM datasets или embodied AI * опыт с W&B, MLflow, Hydra, experiment tracking, dataset lineage * опыт с annotation QA, active learning, data curation, anomaly detection или quality scoring * понимание domain shift, camera shift, embodiment gap, task transfer и data-centric AI * навыки работы с генеративными AI-моделями * опыт создания AI-агентов и использования их в работе будет преимуществом * опыт использования GigaChat, Kandinsky и аналогов в продуктах, навыки создания и использования AI-агентов * инструментальное владение AI для анализа, генерации и автоматизации. Условия * офисный формат работы, адрес офиса Автозаводская 23а к2 * ежегодный пересмотр зарплаты, квартальная и годовая премия * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * программа адаптации и помощь руководителя на старте * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера.

Location: Bangalore, India GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. The Software Delivery Section, part of the Infrastructure Platforms Department, is dedicated to enhancing the safety, reliability, and overall customer experience of GitLab’s complete software delivery process. We aim to provide seamless and efficient delivery of GitLab products across all platforms, including SaaS multi-tenant, self-managed, and SaaS single-tenant environments. Our primary goals are to accelerate delivery cycles, minimize incidents, and ensure high-quality releases that consistently meet and exceed customer expectations. By focusing on these objectives, we aim to improve GitLab’s end-to-end software delivery process, making it more reliable, efficient, and aligned with the needs of our users. Responsibilities Backend Engineers with the Software Delivery:Release bring not only a strong background in backend development but also a solid understanding of, or keen interest in, infrastructure and operations. In this role, you will work alongside Site Reliability Engineers (SREs) to enhance release management tooling, infrastructure, and processes. While SREs approach these responsibilities from an operational standpoint, Backend Engineers provide a software development perspective, collaborating closely to deliver efficient and safe solutions for streamlined code delivery across various supported environments. This role is ideal for individuals with a strong coding background who are also comfortable working on infrastructure, automation and operations-related topics or are motivated to develop expertise in these areas. Guarantee the GitLab Release Process Create new tools and frameworks to automate the release process Build new GitLab release features to replace existing custom tooling by contributing to new work for our Release Framework Work with individual teams on defining and implementing solutions that will help them release quicker Create frameworks that allow engineers to write code that scales with demand Help teams instrument their code and helps recognize parts of code that could benefit from increased observability Work closely with peer Infrastructure Platforms groups to control the impact of application code running in user facing products Help communicate the release schedule clearly with others Develop monitoring and alerting to measure release process velocity Identify process bottlenecks and introduce optimizations Participate in Release Manager rotation Requirements As an ideal candidate, you will have Strong coding background. Mandatory Ruby or Go (willing to learn Ruby is a must). Proficiency with Ruby is a strong plus. Ruby on Rails knowledge is not mandatory Experience working on large-scale systems Experience optimizing Continuous Delivery and Continuous Deployment pipelines as well as the tooling and processes that go with them Interest in cloud platforms, containerization, and Infrastructure as Code tools Application and systems observability background Collaboration mindset, boundless curiosity and a demonstrable ability to learn A product development mindset when developing new components You share our values , and work in accordance with those values. Performance indicators The Delivery team has the following performance indicators: Mean Time to Production How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: AU: Sydney (45 Clarence St); AU: Melbourne: (260 Burwood Rd); AU: Brisbane (243 Edward St) Workplace: Hybrid Senior Software Engineer, AI Enablement The role & impact You'll join a small team that builds the tools, platforms and best practices helping engineers across Xero work with AI. Rather than shipping something once and moving on, you'll own it end to end from early experimentation through to production, including the run books, monitoring and rollback thinking that keep it reliable once real engineers depend on it day to day. This is a role with real influence. You'll help shape the technical direction of an internal skills marketplace and AI distribution platform used across the wider engineering organisation, work directly with vendors like AWS, Microsoft and GitHub on technology that isn't public yet, and help guide and challenge a team that's still early in its AI journey. The team & how they connect The AI Enablement team sits within Engineering Experience and focuses on helping product engineering teams work faster and better with AI through platforms, tooling and practical guidance rather than just standard tooling. It's a close-knit team, spread across Melbourne, Sydney and the Sunshine Coast, with a product manager based in Wellington, who stay connected through regular syncs and a genuinely collaborative way of working despite the distance. Initially, you will focus on - Our current stack is C#, .NET and AWS, with Python and TypeScript picked up along the way for AI tooling - Building an internal skills marketplace and a distribution platform for AI tools used across Xero's engineering org - Developing guidance and best practice for authoring agent skills, including agents for remediation tasks - Collaborating directly with AWS, Microsoft and GitHub on early-access technology not yet available in market Where and how you can work You can be based anywhere in Australia, and we're also open to candidates based in New Zealand. The team works in a hybrid way and is used to connecting across time zones, with regular in person boost days to come together, plan and collaborate as a team. Here are some of the things we're looking for, for this role - You bring hands-on software engineering experience, ideally with C#, .NET and AWS — if your background is elsewhere, we're still keen to talk, as good engineers pick up new stacks quickly - You've built internal tools or platforms that other engineers genuinely relied on - Production discipline matters to you: You write runbooks, set up monitoring and think through rollback before anything goes live - You communicate clearly and know how to bring people along with an idea, not just ship code quietly in the background - You're curious about coding agents and AI-native tools, and you keep an eye on where AI engineering is heading - You can challenge a decision directly and respectfully, and you learn new things in a structured, quality-focused way Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.

Location: CAN: Vancouver (333 Seymour St) Workplace: Hybrid The role / impact You will help build the platforms and product capabilities that support money movement through Xero, from collecting invoice payments and paying bills to supporting payroll and future payment experiences. Your work will make payments feel more connected within Xero, helping small businesses manage their money with greater ease and confidence. You will take ownership of meaningful engineering problems, building reliable, secure and scalable software where financial accuracy matters. Working closely with engineering, product and operational partners, you will help shape technical decisions, make trade-offs clear and balance delivery with the controls needed to protect customers and their money. Through thoughtful communication, knowledge sharing and constructive feedback, you will contribute to an inclusive team culture and help improve how a growing engineering organization works. The team / how they connect You will join Payments Platform Engineering, an early-stage organization building the foundations for collecting and paying money through Xero. The team is creating reusable capabilities that can support multiple products, payment methods, providers and regions, while staying closely connected to customer needs. The work spans payment orchestration, provider integrations, onboarding and verification, risk, reconciliation and internal ledger capabilities. As the organization takes shape, you will have the opportunity to influence architecture, challenge assumptions and help define how payment experiences are built and scaled across Xero. The team is currently working on / Initially, you will focus on - Evolving systems tightly coupled to invoicing into reusable payment capabilities that support multiple products, providers and regions. - Building payment orchestration and provider integrations, with clear boundaries between payment methods, providers and the networks that move money. - Developing foundations across customer onboarding, know-your-business verification, entity management, risk and compliance. - Strengthening reconciliation, dispute handling and internal ledger capabilities so financial events are represented accurately and can be traced. - Supporting bill payments and broader incoming and outgoing money flows, with reliability, security and observability built in. - Applying AI and automation where they can reduce manual effort, while maintaining clear controls and appropriate human oversight. Your initial area of ownership will sit within these priorities, with room to shape both the technical approach and how the team delivers. Where and how you can work This role is based in Vancouver. We operate on a hybrid model where you will spend one to two days a week in the office for collaborative technical discussions and team alignment, with the flexibility to work from home on the other days. Here are some of the things we are looking for - You bring strong backend software engineering experience and a track record of building and operating reliable services in production. - You understand distributed systems and can reason through service boundaries,consistency, resilience and failure handling. - You have practical experience working with transactional data, where correctness, integrity and traceability are essential. - You can work through ambiguous problems, make pragmatic architectural decisions and recognise when to improve an existing system or take a new approach. - You take ownership beyond implementation, considering automated testing, deployment, observability and the ongoing operation of your services. - You communicate clearly and collaborate well across engineering, product and operational teams, connecting technical decisions to customer outcomes. - You are interested in using AI tools to improve engineering productivity and exploring automation with appropriate controls and human oversight. Experience in payments, financial systems or other environments where accuracy and auditability are critical would be valuable. Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team. Compensation & Total Rewards At Xero, we value the impact and skills you bring to the team. We believe in a Total Package philosophy - ensuring your value is recognized through a holistic lens that includes base salary, performance incentives, and world-class benefits. The expected base salary range for this role is 131,800 - 150,000 CAD. Individual pay is determined by various factors, including geography, level of experience, and the specific skills you bring to the role. In addition to base pay, Xero’s roles are eligible for the following forms of variable compensation: ● Variable Pay: Permanent employees are eligible to participate in our annual bonus and equity (RSU) programs. You may also be eligible for performance-based cash or equity (RSUs) incentives depending on your role level, and company performance. ● Comprehensive Benefits: World-class health, wellness, and retirement programs. Xero Perks https://careers.xero.com/inside-xero/benefits-wellbeing/ including Wellbeing days, generous leave, and dedicated professional development budgets. This is a posting for an existing vacancy. Xero uses AI to help screen applications based on job-related qualifications. These tools assist our recruiters but do not make automated hiring decisions. A human recruiter reviews all candidates before any hiring action is taken.

Location: San Francisco; Remote (United States); Toronto; Seattle; New York City Perplexity serves hundreds of millions of queries a month, and every one of them fans out into multiple AI inference requests running in real time. Behind that sits a large GPU fleet spread across several cloud providers. Today, our inference engineers and researchers build models while also managing networking, securing capacity, and operating the underlying GPU clusters, responsibilities we want a dedicated platform team to own. Your job is to take ownership of that infrastructure and hide its complexity behind a unified, self-serve platform for running training and inference workloads. RESPONSIBILITIES - Build a self-serve compute platform. Design and own the systems that let inference engineers and researchers launch training jobs and operate inference services without managing GPU provisioning, cluster configuration, or provider-specific infrastructure. - Operate the GPU fleet. Own provisioning, lifecycle management, reliability, and capacity integration across providers, giving teams a consistent way to use compute regardless of where it runs. - Solve for GPU scarcity. Build the scheduling and placement logic that finds available capacity across providers, packs it efficiently, and gets the right workload onto the right hardware under real constraints. - Support two very different workloads. Keep long-running distributed training jobs healthy while simultaneously guaranteeing the availability and latency of production inference services on the same fleet. - Own the Kubernetes for GPU orchestration. Write the operators and CRDs, and manage many clusters across providers so the platform behaves the same everywhere we run. - Make failure boring. Build the fault tolerance, autoscaling, and observability that keep the fleet utilized and let workloads survive node loss, provider hiccups, and capacity shifts without human intervention. - Set technical direction across teams. Partner with inference and cloud infrastructure engineers to turn operational constraints into a coherent platform architecture and roadmap. QUALIFICATIONS We expect you to have real depth in most of these: - Deep Kubernetes experience — custom operators, CRDs, and multi-cluster federation, not just running kubectl apply. - You've managed GPU clusters at scale: NVIDIA hardware, CUDA, and the networking that makes them fast (InfiniBand or RoCE). - You've orchestrated compute across multiple clouds (CoreWeave, AWS, GCP, or similar) and understand how different each one really is. - Strong distributed systems fundamentals: scheduling, resource allocation, and fault tolerance under load. - You write infrastructure and systems-level code in Go, Rust or C++. - You've supported both long-running training jobs and high-availability inference services, and you know why they pull infrastructure in opposite directions. - You own problems end-to-end and do well when the path forward isn't laid out for you. ADDITIONAL EXPERIENCE WE VALUE - Inference serving stacks: vLLM, SGLang, or TensorRT-LLM. - Slurm or other HPC schedulers. - GPU kernel work in CUDA or Triton — not required, but notable. - High-speed interconnects: InfiniBand, RoCE, or RDMA in production. - Observability for ML workloads: Prometheus, Grafana, or Weights & Biases.

Location: Singapore, Singapore OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About The Opportunity We are looking for a high-impact Vice President of Engineering / Senior Engineering Director to lead strategic engineering initiatives across OKX’s core products. You will guide engineering leaders and teams working across multiple disciplines, helping them deliver secure, reliable, and scalable experiences for users worldwide. This role will set technical direction, strengthen collaboration across engineering and product functions, and improve how teams plan, build, and operate critical systems. You will help ensure that architecture, execution, and operational priorities support the company’s product strategy and growth. What You'll Be Doing Strategic Leadership & Operational Excellence Engineering Alignment & Delivery: Improve coordination across engineering teams and functions, clarify ownership and decision-making, and help teams deliver product priorities with fewer bottlenecks. Organizational Design & Scale: Continuously refine engineering workflows, team structures, and operating rhythms to support business growth, team autonomy, and cross-functional collaboration. Talent & Leadership Development: Mentor, manage, and scale engineering managers and senior leaders; establish high standards for engineering craftsmanship, career growth, and technical accountability. Technical Direction & Architecture Technical Direction: Guide architecture and engineering decisions across complex product environments, ensuring teams balance scalability, security, performance, and user needs. Engineering Standards & Reliability: Champion industry-leading engineering practices across software design, code health, automated testing, continuous deployment, and system observability. System Resilience: Ensure systems maintain high availability, security posture, and resilience in a fast-paced, high-volume environment. Product Partnership & Execution Cross-Functional Partnership: Work hand-in-hand with Product Management, Design, Operations, and Security leaders to translate company strategy into clear, executable technical roadmaps. Execution & Velocity: Establish clear milestones, identify and resolve execution risks, and implement metrics to maintain predictable, high-cadence product releases. What We Look For In You Executive Leadership Experience: 10+ years of software engineering experience, including 5+ years leading multi-tiered engineering teams (50+ engineers) at the Director or VP level within high-scale product companies. Technical Breadth: A strong background leading engineering in large-scale product environments, with the ability to engage with diverse technical disciplines, assess architectural trade-offs, and guide experienced engineering leaders. Delivery Track Record: Demonstrated success driving complex, multi-team engineering programs to launch in fast-evolving, high-growth tech environments. Domain Adaptability: Experience in high-availability, low-latency, or mission-critical domains (such as FinTech, SaaS, payments, consumer tech, or Web3). Communication & Influence: Exceptional communication skills with the ability to build consensus across business, product, and deeply technical teams. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! #LI-ML1 #LI-ONSITE Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: United States, Aliso Viejo, CA Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. At PlayStation, we are passionate about delivering high-quality experiences to millions of players worldwide. We are looking for an experienced, hands-on Software Development Engineer in Test II (SDET II) to help build reliable, scalable Subscription and Streaming experiences. This opportunity is suited for an engineer who enjoys solving complex technical problems, developing automation solutions, and improving quality across applications, services, and connected platforms. Role Overview As an SDET , you will collaborate with Software Engineers, Product Managers, and Quality Engineering teams to deliver subscription experiences across PlayStation platforms. You will take ownership of testing and automation for assigned features, contribute to technical solutions, and help improve how quality is built into the development process. Your work will span subscription and commerce services, backend APIs, mobile applications, gaming consoles, streaming services, and connected device experiences. You will have opportunities to expand your technical expertise while working with experienced engineers across multiple teams. Responsibilities Design, develop, and improve automated testing solutions for subscription services, applications, and connected platforms. Take ownership of quality engineering activities for assigned features, from test planning through automation and release validation. Collaborate with engineering teams early in development to identify quality risks, improve testability, and determine effective testing approaches. Develop reusable automation tools and framework capabilities that improve test coverage, reliability, and engineering efficiency. Validate end-to-end customer journeys involving authentication, commerce, entitlements, subscription lifecycle management, retention, and streaming experiences. Build automated tests for APIs, backend services, distributed systems, web applications, and native mobile platforms. Integrate automated testing into CI/CD pipelines and contribute to improving test execution reliability and feedback. Investigate complex failures, analyze root causes, and work with engineering teams to resolve issues. Contribute to quality metrics, dashboards, and reporting that provide visibility into automation coverage and release readiness. Identify opportunities to improve testing practices, reduce technical debt, and strengthen overall product quality. Collaborate with globally distributed engineering and QE teams on integration testing and release qualification. Explore emerging technologies, including AI-assisted testing, to improve test development and engineering workflows. Required Qualifications Bachelor’s degree or equivalent in Computer Science, Engineering, or a related field. 3+ years of experience in Software Development Engineering in Test, Software Engineering, Quality Engineering, or Test Automation. Proficiency in at least one programming language, such as Python, JavaScript/TypeScript, or Swift. Experience developing automated tests and working with test automation frameworks. Experience testing APIs, backend services, web applications, or native mobile applications. Understanding of software testing methodologies, test design, and automation strategies. Familiarity with CI/CD pipelines, version control, and modern software development practices. Experience investigating technical issues, debugging failures, and collaborating with engineering teams on solutions. Ability to manage assigned work independently, communicate technical findings, and collaborate across teams. Preferred Qualifications Experience with subscription platforms, commerce systems, payment processing, or entitlement services. Experience testing distributed systems, microservices, or cloud-based applications. Experience with automation technologies such as XCUITest, Appium, Selenium, or API testing frameworks. Familiarity with Jenkins, GitHub Actions, Docker, Kubernetes, or similar development tools. Experience testing streaming services, media playback, gaming consoles, or connected devices. Experience with React Native or other cross-platform application frameworks. Experience developing end-to-end automation across client applications and backend services. Familiarity with observability, telemetry, and quality reporting. Exposure to AI-assisted testing and automation tools. Understanding of accessibility and localization testing practices. What We’re Looking For You enjoy understanding how systems work and finding practical ways to improve their quality. You are comfortable working across different technologies, investigating complex issues, and translating requirements into effective testing solutions. You bring hands-on engineering experience, take ownership of your work, and collaborate with others to solve problems. You are interested in continuing to develop your technical expertise while contributing to reliable, high-quality PlayStation experiences. At SIE, working with our partners, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the individual base pay range may vary based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for benefit offerings that include medical, dental, and vision. Click here to learn more. The estimated base pay range for this role is listed below, this is an hourly rate. $52.83 — $79.27 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: United States, San Diego, CA Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. At PlayStation, we are passionate about delivering high-quality experiences to millions of players worldwide. We are looking for an experienced, hands-on Software Development Engineer in Test II (SDET II) to help build reliable, scalable Subscription and Streaming experiences. This opportunity is suited for an engineer who enjoys solving complex technical problems, developing automation solutions, and improving quality across applications, services, and connected platforms. Role Overview As an SDET , you will collaborate with Software Engineers, Product Managers, and Quality Engineering teams to deliver subscription experiences across PlayStation platforms. You will take ownership of testing and automation for assigned features, contribute to technical solutions, and help improve how quality is built into the development process. Your work will span subscription and commerce services, backend APIs, mobile applications, gaming consoles, streaming services, and connected device experiences. You will have opportunities to expand your technical expertise while working with experienced engineers across multiple teams. Responsibilities Design, develop, and improve automated testing solutions for subscription services, applications, and connected platforms. Take ownership of quality engineering activities for assigned features, from test planning through automation and release validation. Collaborate with engineering teams early in development to identify quality risks, improve testability, and determine effective testing approaches. Develop reusable automation tools and framework capabilities that improve test coverage, reliability, and engineering efficiency. Validate end-to-end customer journeys involving authentication, commerce, entitlements, subscription lifecycle management, retention, and streaming experiences. Build automated tests for APIs, backend services, distributed systems, web applications, and native mobile platforms. Integrate automated testing into CI/CD pipelines and contribute to improving test execution reliability and feedback. Investigate complex failures, analyze root causes, and work with engineering teams to resolve issues. Contribute to quality metrics, dashboards, and reporting that provide visibility into automation coverage and release readiness. Identify opportunities to improve testing practices, reduce technical debt, and strengthen overall product quality. Collaborate with globally distributed engineering and QE teams on integration testing and release qualification. Explore emerging technologies, including AI-assisted testing, to improve test development and engineering workflows. Required Qualifications Bachelor’s degree or equivalent in Computer Science, Engineering, or a related field. 3+ years of experience in Software Development Engineering in Test, Software Engineering, Quality Engineering, or Test Automation. Proficiency in at least one programming language, such as Python, JavaScript/TypeScript, or Swift. Experience developing automated tests and working with test automation frameworks. Experience testing APIs, backend services, web applications, or native mobile applications. Understanding of software testing methodologies, test design, and automation strategies. Familiarity with CI/CD pipelines, version control, and modern software development practices. Experience investigating technical issues, debugging failures, and collaborating with engineering teams on solutions. Ability to manage assigned work independently, communicate technical findings, and collaborate across teams. Preferred Qualifications Experience with subscription platforms, commerce systems, payment processing, or entitlement services. Experience testing distributed systems, microservices, or cloud-based applications. Experience with automation technologies such as XCUITest, Appium, Selenium, or API testing frameworks. Familiarity with Jenkins, GitHub Actions, Docker, Kubernetes, or similar development tools. Experience testing streaming services, media playback, gaming consoles, or connected devices. Experience with React Native or other cross-platform application frameworks. Experience developing end-to-end automation across client applications and backend services. Familiarity with observability, telemetry, and quality reporting. Exposure to AI-assisted testing and automation tools. Understanding of accessibility and localization testing practices. What We’re Looking For You enjoy understanding how systems work and finding practical ways to improve their quality. You are comfortable working across different technologies, investigating complex issues, and translating requirements into effective testing solutions. You bring hands-on engineering experience, take ownership of your work, and collaborate with others to solve problems. You are interested in continuing to develop your technical expertise while contributing to reliable, high-quality PlayStation experiences. At SIE, working with our partners, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the individual base pay range may vary based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for benefit offerings that include medical, dental, and vision. Click here to learn more. The estimated base pay range for this role is listed below, this is an hourly rate. $52.83 — $79.27 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: Dubai, United Arab Emirates A dedicated and experienced HVAC Site Engineer is needed to join our construction team. As an HVAC Engineer, you will be responsible for the design, installation, and maintenance of heating, ventilation, and air conditioning systems across various construction projects. You will work closely with project teams to deliver efficient and effective HVAC solutions that meet client specifications and regulatory requirements. Key Responsibilities: Design, calculate, and specify HVAC systems in compliance with project requirements and industry standards. Collaborate with architects, mechanical engineers, and other stakeholders to integrate HVAC systems into building designs. Prepare detailed HVAC layouts, schematics, and technical documentation using BIM and CAD software. Conduct site inspections and supervise the installation and commissioning of HVAC equipment. Perform troubleshooting, testing, and maintenance activities to ensure system performance and reliability. Ensure HVAC systems comply with relevant codes, standards, and environmental regulations. Coordinate with contractors, suppliers, and consultants to resolve technical issues and optimize system performance. Requirements Bachelor’s degree in Mechanical Engineering or related field. Minimum 3 years of experience in HVAC engineering, preferably in the construction industry in UAE. Proficiency in HVAC design software such as AutoCAD, Revit MEP, and HAP. Sound knowledge of HVAC systems, design principles, and industry standards (ASHRAE, SMACNA, etc.). Strong analytical, problem-solving, and communication skills. Ability to work collaboratively in a multidisciplinary team environment. Familiarity with UAE building codes and regulations is preferred. Fluency in English; additional languages are a plus. Benefits Competitive salary. Official UAE employment status. Comprehensive medical insurance coverage.

Location: Dhahran, Saudi Arabia Eram Talent is hiring for one of its most prestigious clients in Saudi Arabia for experienced Rotating Equipment Engineers specializing in Turbine Testing or Pump Testing. The primary responsibility of this role is to plan, execute, and evaluate mechanical, functional, and performance testing of overhauled rotating equipment, with a specialization in either industrial steam turbines or pumps. The role requires strong technical expertise in equipment assembly, testing procedures, instrumentation, vibration analysis, performance evaluation, troubleshooting, and quality assurance to ensure equipment reliability, safety, and compliance with applicable industry standards. Key Responsibilities As the successful candidate, you will be required to perform the following: 1. Test Engineering & Planning Review equipment drawings, technical specifications, overhaul reports, repair scopes, and testing requirements to establish appropriate test procedures, operating conditions, and acceptance criteria. Develop and review test plans, verify test rigs and systems, and ensure the availability and calibration of required instrumentation. Ensure testing activities comply with applicable industry standards, client specifications, quality requirements, and workshop safety procedures. 2. Mechanical, Functional & Performance Testing Execute mechanical, functional, and performance testing of overhauled rotating equipment, specializing in either steam turbines or pumps. For turbine testing, perform slow-roll, uncoupled run, overspeed, trip, governor, trip-and-throttle valve, lubrication, vibration, temperature, and leakage tests, as applicable. For pump testing, conduct hydrostatic, mechanical running, and performance tests, including the evaluation of flow rate, differential head, pressure, power consumption, efficiency, vibration, bearing temperature, and leakage, as applicable. Verify equipment operating conditions, test-system readiness, instrumentation accuracy, safety interlocks, and protective systems before and during testing. 3. Performance Evaluation & Technical Analysis Evaluate test results against approved procedures, manufacturer specifications, contractual requirements, and applicable testing standards. For turbines, assess speed, steam conditions, power output, efficiency, heat rate, valve response, and governor stability, as applicable. For pumps, evaluate head-flow characteristics, efficiency, power requirements, operating curves, and performance against specified duty points and acceptance criteria. Interpret test data, identify performance deviations, and recommend corrective actions to achieve the required operating and acceptance parameters. 4. Diagnostics, Troubleshooting & Root Cause Analysis Diagnose mechanical and performance-related issues, including excessive vibration, bearing problems, shaft misalignment, thermal effects, lubrication issues, abnormal temperatures, leakage, and instability. For turbines, investigate rotor dynamics, steam-path losses, governor malfunctions, trip-system issues, and lubrication-related failures. For pumps, investigate cavitation, hydraulic instability, inadequate flow or head, seal leakage, impeller-related issues, bearing failures, and abnormal operating conditions. Conduct root cause analysis (RCA), recommend corrective and preventive actions, and validate equipment performance through retesting where required. 5. Technical Documentation & Quality Assurance Prepare and review test procedures, inspection records, calibrated-instrument lists, performance curves, certified test reports, deviation reports, and technical recommendations. Document test results, identify non-conformities, and coordinate corrective actions with repair, assembly, inspection, and quality teams. Ensure complete technical documentation and verification of acceptance criteria before recommending equipment release to service. 6. Equipment Assembly & Workshop Support Provide technical guidance on rotating equipment assembly, rotor and shaft inspection, bearing and seal clearances, alignment, and mechanical integrity verification. Support workshop teams in resolving assembly, repair, testing, and performance-related issues. Collaborate with engineering, maintenance, quality, and workshop personnel to improve equipment reliability, testing effectiveness, and compliance with technical requirements. Requirements Bachelor's degree in Mechanical Engineering from a recognized and approved program. At least 15 years of rotating equipment experience, including a minimum of 8 years of relevant hands-on experience in industrial steam turbine or pump repair, overhaul, assembly, diagnostics, or testing. Demonstrated practical experience in either steam turbine testing or pump testing, including mechanical running tests, performance evaluation, troubleshooting, and technical reporting. Strong knowledge of rotating equipment fundamentals, vibration analysis, rotor dynamics, shaft alignment, bearings, seals, lubrication systems, and machinery protection. Experience with mechanical and performance testing instrumentation, including vibration, temperature, pressure, flow, speed, and power measurement systems. Ability to interpret technical drawings, equipment specifications, test procedures, performance curves, and applicable industry standards. Proven capability in root cause analysis, technical problem-solving, performance assessment, and preparation of detailed engineering reports. Preferred Qualifications Relevant OEM training or specialized technical training in steam turbines or pumps. Experience with applicable API standards and other recognized rotating equipment testing standards. Mobius vibration analysis certification, Category II or higher, or equivalent qualification. ICML MLA I or an equivalent lubrication certification. Hands-on experience with workshop test rigs, instrumentation systems, machinery protection systems, and equipment acceptance testing. Experience in industrial, oil and gas, petrochemical, power generation, or other process-industry environments. Specialization: Candidates must have substantial hands-on expertise in either Steam Turbine Testing or Pump Testing .

Location: United Kingdom Would you like to build a career in a leading multinational IT company? We're looking for a driven, consultative Account Executive to own new business acquisition and account growth across the EMEA region. This is a remote role - you'll manage the full sales cycle - from prospecting to close - selling our CPaaS solutions to mid-market and enterprise clients across telecom, fintech, e-commerce, and other verticals with high-volume customer communication needs. MMDSmart is a leading CPaaS provider delivering WhatsApp Business API, SMS, and push notification solutions to businesses across EMEA and beyond. Since 2007, we’ve been helping companies in 100+ countries communicate with their customers at scale, reliably, and creatively. Our success is driven by innovative technology and talented people who shape our Messaging and Voice solutions. Join a fast-growing tech company where your ideas, growth, and ambition can make a real impact. What You'll Do: Own and manage a sales pipeline across the EMEA region, from lead generation through contract close; Identify and engage prospective clients needing WhatsApp Business API, SMS, RCS, or push notification solutions; Conduct product demos and consultative sales conversations tailored to client use cases; Build and maintain relationships with key decision-makers (marketing, CX, and IT leaders); Negotiate commercial terms and close new business, meeting or exceeding quarterly revenue targets; Collaborate with Customer Success, Marketing, and Product teams to ensure smooth onboarding and identify upsell opportunities; Maintain accurate pipeline and forecast data in CRM; Stay current on regional messaging regulations (e.g., WhatsApp policy changes, telecom compliance) and the competitive landscape. Requirements What We're Looking For: 3+ years of B2B sales experience, including hands-on sales experience in the Telecom or CPaaS industry (mandatory); Proven track record of hitting or exceeding quota in a new-business sales role; Experience selling into EMEA markets; understanding of regional business culture and buying cycles; Strong consultative selling skills — able to translate technical capabilities (APIs, messaging channels) into business value; Solid understanding of telecom or CPaaS products, solutions, and sales cycles; Excellent communication skills in English; Comfortable working independently in a remote, fast-paced, target-driven environment; CRM proficiency (Salesforce, HubSpot, or similar). Nice to Have: Existing network of contacts in fintech, e-commerce, or telecom across EMEA; Experience selling WhatsApp Business Solution, messaging APIs, or similar customer engagement solutions; Additional languages (French, German, Spanish). Benefits Why do talents choose and stay at MMDSmart? Embrace the opportunity to work in a company that cares about: Your Wellness: Access to mental health programs. Your Happiness: Enjoy the company of cool teammates, a friendly atmosphere, a strong mentorship, and a variety of bonuses & corporate gifts. Your Development: Benefit from free educational events & courses. Your Career: Focus on your professional development in a supportive environment. Work-Life Balance: Choose your working format – remote, office-based, or hybrid and engage in team-building activities. Think this role’s got your name on it? Go ahead and apply, we’d love to see what you’ve got! Equal-Opportunity Employment We are an equal opportunity employer committed to creating a diverse and inclusive work environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Location: Barcelona, Spain Join COLIBRIX ONE – Innovating the Future of Payments At COLIBRIX ONE* , we’re building advanced, AI-powered payment technologies that support Payment Service Providers (PSPs), Electronic Money Institutions (EMIs), and neobanks across the EU and the UK. As a fully licensed Electronic Money Institution (FCA Reference No. 927920) and holder of a Financial Institution Licence issued by the MFSA, as well as a principal member of both VISA and Mastercard, we provide comprehensive, real-world financial solutions that include: Global card processing Digital wallet infrastructure Cross-border merchant accounts Alternative payment methods (APMs) Corporate accounts for legal entities We’re a fast-growing team with a passion for innovation, security, and scalability. Our culture values curiosity, collaboration, and impact - and we’re looking for talented professionals who are ready to shape the future of fintech. At COLIBRIX ONE, your work directly powers the digital economy. If you're eager to solve meaningful challenges and build with purpose, we’d love to hear from you. About the Role We are looking for an Ad Account Manager (FB & Google Ads) to join the Colibrix Partners team. We aren't just a service provider-we are a growth engine for our partners. Your role is to be the primary support for clients who need high-quality ad accounts and reliable payment solutions to scale their traffic. While our focus is on building the best environment for our partners, you will also leverage the Colibrix One fintech ecosystem to provide seamless financial infrastructure and card solutions for ad spend. Key Responsibilities Maintain daily communication with partners to ensure their scaling needs are met and projects stay on track Manage the full cycle of providing ad accounts for rent including setup and ongoing technical support Execute daily monitoring of budget pacing and KPI performance to ensure accounts are running efficiently Identify specific growth points and optimization strategies to help partners increase their ROI Analyze traffic data and retail media placements to find ways to maximize placement efficiency Build clear and actionable reports that translate complex data into practical insights for partners Test new advertising tools and hypotheses to keep our partners at the forefront of industry best practices Collaborate with internal technical teams to resolve account issues and streamline payment flows What you need to succeed in this role 2 years of experience as an Account Manager or in Client Service within a marketing agency or affiliate network Solid hands-on experience with Google Ads and Facebook Ads plus a deep understanding of the arbitrage landscape Knowledge of retail media and the principles of digital advertising efficiency High proficiency in Excel or Google Sheets and the ability to interpret complex data into clear insights Fluent Russian and English at an Intermediate level or higher to communicate effectively with a global partner base A proactive team player mindset with the ability to thrive in a multitasking environment and take full ownership of partner success What We Offer Opportunity to shape the future of fintech solutions within a growing company Collaborative, horizontal team structure that values your expertise and ideas Continuous learning and development opportunities to enhance your skills and career growth Competitive salary and benefits package * This position is offered within the COLIBRIX ONE. Employment will be under the appropriate legal entity based on the role and location.

Location: Dhahran, Saudi Arabia We are seeking a Mechatronics Engineer to join our Facility Maintenance team within Mechanical Services Shops. The team is responsible for maintaining facility infrastructure, industrial machinery, and supporting equipment to ensure safe, reliable, and efficient operations. Your primary role will be to ensure the reliability, maintainability, and safe operation of integrated mechanical, electrical, control, robotic, and automated systems across the facility. You will lead troubleshooting, preventive and predictive maintenance, equipment upgrades, and lifecycle management for facility equipment and production machinery. Key Responsibilities Facility & Equipment Maintenance: Develop and implement maintenance strategies for facility equipment, CNC machines, balancing machines, robots, furnaces, test stands, pumps, compressors, conveyors, drives, sensors, and hydraulic and pneumatic systems. Diagnostics & Root Cause Analysis: Troubleshoot mechanical, electrical, servo, PLC, motion-control, hydraulic, pneumatic, and communication faults using drawings, diagnostic software, measurements, and failure evidence. Preventive Maintenance & Reliability: Establish asset criticality, preventive and predictive maintenance tasks, lubrication, alignment, vibration monitoring, thermography, calibration, spare-parts requirements, and condition-monitoring programs. Modifications & Commissioning: Engineer and validate equipment upgrades, safety circuits, drives, sensors, automation changes, and OEM retrofits through controlled design, testing, and change management. Maintenance Planning & Governance: Maintain CMMS records, maintenance plans, procedures, breakdown reports, KPIs, obsolescence plans, contractor controls, technical documentation, and training for maintenance personnel. Facility Safety & Compliance: Ensure maintenance activities comply with applicable safety regulations, operational procedures, equipment standards, and quality requirements. Minimum Requirements Bachelor’s degree in Mechatronics, Mechanical, Electrical, Automation, or Electromechanical Engineering from a recognized and approved program. At least 12 years of industrial or facility maintenance experience , including a minimum of 7 years supporting CNC machines, balancing machines, or integrated mechatronic systems . Strong hands-on knowledge of machine mechanics, bearings, alignment, hydraulics, pneumatics, motors, drives, servos, PLCs, sensors, robots, and safety interlocks. Experience with OEM diagnostic tools, electrical and mechanical drawings, precision measurement, condition monitoring, and structured root cause analysis. Demonstrated ability to develop preventive maintenance plans, manage critical spare parts, execute equipment upgrades, and support safe commissioning. Preferred Qualifications CMRP or CMRT certification. Siemens or Rockwell automation training. Robotics or CNC-machine OEM training. Vibration analysis or thermography credentials.

Location: Juma, Mozambique; Luanda, Angola; Boe, Guinea-Bissau; Corisco, Equatorial Guinea; Queimada, Cabo Verde; Bombom, Sao Tome and Principe Apt Resources is seeking a heavy equipment mechanic with experience in the field of agriculture or farming for one of its clients in Angola, to support vital agricultural operations. This hands-on position requires strong technical judgment and practical troubleshooting skills to perform dependable maintenance and maximize machinery uptime. As a Heavy Mechanic - Agriculture, you will play an important role in keeping critical farm machinery running safely and efficiently. This is a role for someone who is comfortable working closely with site teams, responding to equipment issues with urgency, and helping maintain consistent performance across active agricultural operations. Responsibilities Maintain and repair agricultural heavy machinery to minimize operational downtime. Diagnose mechanical, hydraulic, and electrical faults on tractors and farm equipment. Perform preventive maintenance inspections and service scheduling for field machinery. Coordinate with operators to troubleshoot equipment issues across agricultural sites. Ensure repairs meet safety standards and support reliable on-site operations. Requirements 3-5 years of experience repairing agricultural heavy equipment such as tractors, harvesters, and other field machinery. Experience performing preventive maintenance on agricultural heavy equipment in remote or field-based environments. Strong hands-on experience diagnosing and repairing diesel engines, hydraulic systems, electrical systems, and heavy equipment diagnostic systems. Relevant mechanical certification or equivalent hands-on heavy equipment training. Ability to communicate effectively in Portuguese. Must be willing to relocate to Angola if selected Benefits Competitive Salary As Per Market Standard

Location: Cyprus; Georgia; Poland; Spain; Serbia; Latvia We are looking for an Engineering Director to own the technology platform behind the GoMining ecosystem. This is a senior leadership role for someone who combines deep engineering expertise with strong product and business thinking. You will own the Platform end-to-end — technology strategy, architecture, engineering organization, roadmap, reliability, delivery, and its impact on the wider business. The Platform powers multiple GoMining products and includes core application infrastructure, authentication and authorization, integrations, shared services, analytics infrastructure, user restrictions, native applications, reliability, and other foundational capabilities. This is not a role where success is measured simply by uptime, delivery, or engineering output. We expect the Engineering Director to understand where technology creates or limits business value, make trade-offs between long-term architecture and immediate commercial priorities, and build a platform that allows the entire company to move faster. Responsibilities Platform Strategy & Architecture Own the technology strategy, architecture, and roadmap for the GoMining Platform. Build scalable shared infrastructure used across multiple products and engineering teams. Define which capabilities should be centralized at Platform level and which should remain within individual product teams. Drive major architectural and technical decisions. Identify scalability and architectural bottlenecks before they become business-critical. Balance long-term platform investments with immediate product and commercial priorities. Reliability & Engineering Excellence Own platform reliability, availability, latency, scalability, and operational performance. Define and improve SLAs, DORA metrics, engineering performance, and incident-management practices. Improve release stability, engineering velocity, and system resilience. Lead post-incident improvements and eliminate systemic reliability issues. Maintain a high engineering bar without unnecessary bureaucracy. Core Platform Capabilities Own shared authentication, authorization, registration, and 2FA infrastructure. Develop common account controls, user restrictions, and security mechanisms. Own integrations and shared backend capabilities required across GoMining products. Develop shared analytics and event infrastructure. Support common infrastructure across web and native applications. Partner with Product, Design, Security, and engineering teams on cross-company capabilities. Product & Business Impact Platform at GoMining is not an isolated infrastructure function. You will work directly with product leaders, General Managers, and C-level stakeholders to understand where technology can unlock growth and where platform limitations are holding the business back. Prioritize engineering initiatives based on technical risk and business impact. Understand how platform decisions affect revenue, conversion, customer experience, and product velocity. Identify technical changes that can unlock meaningful business results. Balance competing priorities across multiple product teams. Make clear trade-offs between speed, scalability, reliability, security, and business value. Measure Platform not only through technical metrics, but through how effectively it accelerates the company. Engineering Leadership Lead and develop the Platform engineering organization. Own team structure, hiring, performance, priorities, and execution. Build a culture of strong engineering ownership and accountability. Stay close enough to architecture and technology to challenge decisions and make informed trade-offs. Develop strong technical leaders within the team. Raise the technical and execution bar across the organization. AI-First Engineering Actively use AI tools and agents in your own work. Introduce AI-assisted workflows across engineering, specifications, QA, analytics, and operations. Identify opportunities to automate repetitive engineering work. Use AI to increase engineering velocity and quality. Build a team where AI becomes part of the engineering operating model. Requirements Experience as an Engineering Director, Head of Engineering, Head of Platform, VP Engineering, CTO, or in a comparable senior engineering leadership role. Strong technical background and the ability to engage deeply in architecture and engineering decisions. Experience building or operating complex platforms, shared services, or infrastructure used by multiple products or engineering teams. Proven experience leading engineering teams and delivering complex cross-functional initiatives. Strong understanding of distributed systems, high-load environments, reliability, scalability, incidents, and security. Experience with authentication, authorization, integrations, identity, payments infrastructure, or other shared platform capabilities. Strong product and business mindset — you understand not only how something should be built, but why it matters. Ability to prioritize based on business impact rather than technical complexity alone. Experience working directly with senior product, business, and executive stakeholders. Strong data-driven approach to engineering and decision-making. Hands-on experience with modern AI tools and agents. Experience in fintech, payments, crypto, marketplaces, gaming, or another high-scale technology environment is a strong advantage. Benefits Professional growth: support for courses, conferences, and English learning (up to 100% coverage). Work-life fit: remote or hybrid format with flexible hours across international teams. Paid leave: up to 20 vacation days +  8 company holidays + 5 personal days per year Recognition programs: structured performance reviews and team awards. Team culture: retreats in international locations (for example, company apartments in Cyprus).

Location: Abu Dhabi, United Arab Emirates; Dubai, United Arab Emirates We are looking for an experienced RO Plant Operator with Plumbing Experience to join a VIP private farm in Liwa–Asab, Abu Dhabi. The ideal candidate should have hands-on experience operating and maintaining Reverse Osmosis (RO) water treatment systems, along with practical plumbing skills to ensure a reliable water supply and efficient operation of the farm's water systems. Key Responsibilities Operate, monitor, and maintain the Reverse Osmosis (RO) plant. Monitor water quality, pressure, flow rates, and system performance. Perform routine inspections, cleaning, and preventive maintenance of RO equipment. Troubleshoot and resolve basic RO plant operational issues. Carry out plumbing installation, repairs, and maintenance of water pipes, valves, pumps, and fittings. Identify and repair water leaks, blockages, and other plumbing issues. Maintain proper records of maintenance activities and report technical problems. Ensure compliance with safety procedures and proper equipment handling. Requirements Previous experience as an RO Plant Operator or Water Treatment Plant Operator. Practical plumbing experience is essential. Knowledge of RO systems, water pumps, pipelines, valves, and filtration systems. Ability to troubleshoot and perform routine maintenance independently. Experience in farms, agricultural facilities, or private estates is an advantage. Physically fit, responsible, and capable of working independently. Benefits Salary: AED 4,000 to AED 5,000 and other benefits as per UAE labor law.