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Задачи: • Юридическая поддержка бизнеса, управление командой юридической службы • Мониторинг законодательства в сфере AdTech и смежных сферах • Управление юридической структурой бизнеса • Управление IP • Юридический документооборот • Защита интересов компании при контакте с регуляторами • Проработка решений, связанных с изменением законодательства Требования: • Высшее юридическое образование • Опыт работы руководителем юр. службы в AdTech-компании от 3-х лет (affiliate, ad network, iGaming, adult) - must have • Опыт работы с санкционными рисками, IP, GDPR, KYC • Бизнес-ориентированность (понимание работы юридической службы как инструмента развития бизнеса) • Проактивность • Опыт работы в разных юрисдикциях, Кипр - обязательно Условия: - График работы 5/2, суббота и воскресенье - выходные дни - Полный remote - Оплачиваемые отпуска и больничные до 100% оклада - Качественно выстроенные онбординг и система адаптации, обратная связь высокого качества, прозрачность и открытость всех процессов - Возможность обучения и повышения квалификации за счет компании - Кафетерий бенефитов на медицинские услуги, фитнес, хобби и другие нужды

Location: High Point, North Carolina Lumos is looking for an Operations Service Technician I to bring the future of connectivity to our customers. In this role, you'll be responsible for installing, testing, and maintaining services and equipment in homes and businesses. Technicians set up fiber facilities, including Multi-Ports, and remove company-owned ONTs as needed. You will handle provisioning, testing, maintenance, and troubleshooting of GPON/PON, routers, switches, DSL equipment, and more. Additionally, you’ll install cross-connects at cross-connect and LCC cabinets for fiber circuits. Working onsite with customers and in collaboration with our Service Operations Center (SOC), you’ll play a key role in ensuring seamless connectivity. ***Hybrid Position - dispatches to customer sites in accordance with daily schedule.*** Why Lumos: Lumos is transforming the future of connectivity by building one of the nation's fastest-growing 100% Fiber Optic networks. Through T-Fiber, our joint venture with T-Mobile, we're working toward a shared goal of connecting 12 to 15 million homes by 2030 while expanding access to reliable, high-speed internet in the communities we serve. Here, you'll find more than a job, you'll have the opportunity to make an impact, take ownership of your work, and help shape how we grow. We move quickly, collaborate across teams, and believe the best ideas come from people who are curious, solutions-oriented, and ready to build what's next. What You'll Do: Installs & troubleshoots basic Voice, Data, and Video services on fiber networks. Perform data entry tasks on computers: updating trouble tickets, processing orders, completing timesheets, provisioning systems & equipment, and updating internet service. Provisions & configures Wi-Fi: SSID settings, Guest Network Access & wireless firewall options. Troubleshoots and resolves wireless connectivity issues. Installs and troubleshoots customer on-premise equipment (e.g., residential gateways, routers, switches, security systems, and station wiring). Installs and troubleshoot circuits (e.g., Voice, Broadband). Performs other duties as assigned, including departmental & cross-functional projects. Training Components – Technician I (Non-Inclusive): Training may include Zhone, SmartRG, AirTies, cabling and testing, Light Level Meter operation, and other relevant training as deemed necessary. What You'll Bring: 0+ years of related experience. High School Diploma or equivalent required. Valid, fully unencumbered Driver’s License required. Must reside within 30 minutes of the normal reporting location, including home-based work locations. Experience interacting directly with customers to troubleshoot and resolve issues. Experience using MS Office Suite. Available for various schedules, including weekends, holidays, overtime, and on-call duties as needed. What Makes You a Great Fit: Fiber or Telecom industry experience preferred. Strong verbal and written communication skills. Safe driving record. Ability to understand and use technical documentation. Detail-Oriented and Quality-Driven: Committed to accuracy and thoroughness, proactively seeks and applies feedback for continuous improvement, and consistently monitors work to uphold and enhance quality standards. Physical Requirements: Ability to climb utility poles (where applicable) and work at heights. Utilize handle extension and stepladders as required. Ability to work in attics, crawl spaces, and confined areas. Capable of lifting and transporting 50 lbs. over a distance of 50 feet. Near-constant use of sight, speech, hearing, comprehension, and reasoning. Benefits & Perks: Our commitment to communities includes recruiting and rewarding the Lumos team members who are working together to build a brighter tomorrow. We have: Comprehensive health, dental, and vision coverage. Competitive compensation packages, including bonus options for eligible positions. Paid Time Off & Paid Holidays. Health Savings Accounts (HSAs) and Flexible Spending Accounts (FSAs). 100% employer-paid life and disability insurance. Employee Assistance Program (EAP) with access to professional support for life’s challenges. 401K plan w/ up to 5% employer contribution and a self-directed brokerage option. Wellness program offering education and cash incentives for gym attendance and nutrition programs. Employee referral bonuses. Discounts on Lumos Fiber Internet for employees who live in our service areas. Discounts on T-Mobile wireless service and select features for lines. Applicant Eligibility Notice: Applicants must be at least eighteen (18) years of age at the time of application. At Lumos we recruit, hire, employ, train, promote, and compensate individuals based on job-related qualifications and abilities. We have a longstanding policy of providing a work environment that respects the dignity and worth of each individual and is free from all forms of employment discrimination, including harassment, because of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. We will provide reasonable accommodation to qualified individuals with disabilities or based on a sincerely held religious belief, in accordance with applicable laws.

Location: Bremen, Germany Supervisor: Prof. Dr. Alexander Tormasov About the Position Constructor Knowledge Labs (CKL), in collaboration with Constructor Technology, invites applications for a PhD position in machine learning for software engineering and formal methods, on the Constructor Fabric project. Constructor Fabric turns a company's informal knowledge into production software through a pipeline of composable capability units called gears : requirements → architecture → product fit → framework (G1) → application → runtime. We are building a World Model over that pipeline — a model that does not just generate code, but predicts the consequences of an architectural decision: total cost of ownership, unintended side effects, latency and failure behaviour, and whether a proposed composition is even admissible. The central object is not a digital twin of the application but its formal architectural skeleton : gear contracts (GearSpec), a typed attributed hypergraph of the application (AppGraph), a composition algebra that defines which assemblies are legal, and several semantic projections (types, protocols, resources, security) over which properties are proved, refuted by counterexample, or reported as an explainable gap . All of it is written in a domain-specific language whose syntax trees and graphs we keep in a projectional editor (JetBrains MPS) — so the DSL is not a convenience layer, it is the thing that defines the model's state space and the boundary of what the model is allowed to propose. What you will work on Depending on your background, one or two of: Formal skeleton and composition — GearSpec as a contract $(Requires, Provides, State, Effects, Assumptions, Guarantees, Parameters)$; AppGraph as a typed attributed hypergraph; an algebra of assembly (sequential, parallel, feedback, refinement); semantic projections and system-level invariants over trajectories. Architecture synthesis as an inverse problem — given a specification, load and constraints, find the composition of gears that realises it. Constraint solving and MCTS as the baseline; a learned transition/value model for ranking and pruning; LLM proposals treated strictly as candidate hypotheses that a DSL parser, type checker and property checks must then admit or reject. DSL design and language engineering — the gear DSL and its glue layer decide which AppGraphs are expressible at all, and therefore where the search space ends. This thread covers the abstract syntax and static semantics of that DSL; the requirement that an architectural decision be unbypassable by construction (you must not be able to wire authentication around the Auth Resolver); what happens to the language when gear contracts change or a 201st gear is added; projectional representation of graphs with cycles; and the open hypothesis that a specialised G1-DSL is generated together with every G1. Local transition models and pipeline surrogates — fast approximate predictors for single pipeline steps (spec change → code quality, architecture → product fit, app → runtime outcome), with calibrated uncertainty, validated against real telemetry. Data — reconstructing (specification → architecture) pairs from open repositories at scale, plus synthetic project generation from a fixed gear set and DSL grammar to cover rare transitions, gaps and counterexamples. Profile MSc (or equivalent) in computer science, mathematics, or a mathematical natural science. Coursework in compilers, programming-language theory, language design or model-driven engineering is a strong positive signal, half of this project is deciding what a formal architecture description is allowed to say. Evidence that you finish things: a maintained open-source repository, a peer-reviewed publication, or a strong competition result. Fluent technical English. Most importantly: the habit of stating an assumption explicitly and designing an experiment that could falsify it. Required mathematical background Core skills: Probability and statistics. Estimation, Bayesian inference, uncertainty quantification and calibration (proper scoring rules, reliability diagrams, ECE), experiment design and significance testing. A prediction we cannot calibrate is not usable here. Linear algebra and multivariate calculus at the level needed to derive, not just call, a training objective: matrix calculus, gradients, stochastic optimisation, conditioning. Discrete mathematics and graph theory. Typed and attributed graphs and hypergraphs, subgraph matching and isomorphism, graph rewriting, reachability, basic complexity classes. Mathematical logic and formal methods. First-order logic, type systems, SAT/SMT, temporal logic (LTL/CTL) and model checking, pre/post-conditions, invariants, refinement. Sequential decision making. MDP/POMDP, dynamic programming, model-based RL, latent state-space (world) models, Monte-Carlo Tree Search. Strong command of at least one, working knowledge of a second: Formal languages, semantics and language engineering — grammars (context-free, attribute and graph grammars), derivation and reachability, parsing; abstract versus concrete syntax; operational and denotational semantics; metamodelling, model-driven engineering, model-to-model transformation, and projectional (structural) editing of the kind JetBrains MPS implements. We are asking for the education, not the tool: you should know why a projectional editor exists, what a metamodel buys you over a text grammar, and how a language evolves without breaking its existing models. Hands-on MPS experience is explicitly not required — we will teach it. Category theory for compositional systems — monoidal and traced monoidal categories, functors as semantic projections, string diagrams, operads. This is the language of our assembly algebra. Causal inference — structural causal models, do-calculus, counterfactuals, identifiability. Required for the "what happens if we replace this technology / move on-premises" class of questions, which similarity search alone cannot answer. Queueing theory and applied stochastic processes — M/M/1 and networks of queues, heavy tails, retries, timeouts, partial failure and reliability models. This is the resource and stochastic projection. Combinatorial optimisation, constraint programming and program synthesis theory — CEGIS, version-space algebras, symmetry breaking, search heuristics. Representation learning theory — VAEs and latent dynamics, GNN expressiveness (Weisfeiler-Leman hierarchy), permutation equivariance, embedding migration under a changing vocabulary. Required hands-on programming skills This is an engineering-heavy PhD. We expect code that another person can clone, run and reproduce — not notebooks that worked once. Must have: Python (professional level). Type hints, packaging, `pytest`, profiling, `asyncio`, memory-aware data structures. You write unbuffered, logged, restartable long-running jobs by default. Training loops written from scratch, custom datasets and collation, mixed precision, multi-GPU; experiment tracking (W&B or MLflow), configuration management (Hydra), strict seed and artefact reproducibility. Graph machine learning. PyTorch Geometric or DGL — message passing, heterogeneous and typed graphs, graph transformers, handling graphs whose node vocabulary changes between versions. Solvers and verification tooling driven from Python. Z3 or cvc5 hands-on; demonstrated exposure to at least one model checker (TLA+/TLC, SPIN, NuSMV, Alloy) or proof assistant (Lean, Coq, Isabelle). Code as data. AST manipulation, `tree-sitter`, static analysis, dependency and interface graph extraction, large-scale repository mining. Parallel data pipelines. `multiprocessing`, Ray or Dask; checkpointing, heartbeats, cost estimation before launching a run that touches millions of files. LLM engineering. API orchestration, structured and grammar-constrained decoding, evaluation harnesses, token/cost accounting — with the discipline to treat model output as a hypothesis subject to formal checks. Linux, git, code review, shell. Desirable: Language tooling you have actually used: ANTLR, Xtext, Lark, or a parser, type checker or interpreter you wrote yourself. Our internal representation of gear syntax trees and graphs lives in JetBrains MPS — again, we do not ask for MPS experience, only that you are comfortable reading and extending a metamodel; Java/Kotlin literacy helps once you get there. JAX, or compiler / SAT-SMT internals. Infrastructure literacy — Docker, Kubernetes, Terraform, OpenTelemetry/Prometheus — since the resource projection is calibrated against real deployment telemetry. One systems language (Rust, Go or C++) for performance-critical search. Prior experience with production software architecture, or with a brownfield system you had to change without breaking. Funding The appointment provides full financial coverage through a dedicated fellowship, comprising: Monthly stipend of €1,650 Monthly research-cost allowance of €100 (Forschungskostenpauschale) Health-insurance subsidy of €100 per month Location: Bremen, Germany Duration: 3 years, full time Start date: November 2026 Application package must include CV, including publications, code, or research projects. Cover letter (1–2 pages) explaining your motivation, research interests, and fit with the project. A link to code you have written. A one-page research statement picking one open research question from the project and sketching how you would approach it. Master’s and Bachelor’s degree certificate and transcripts. Contact information for 2–3 academic referees. Applications are reviewed on a rolling basis. Shortlisted candidates will be invited to interviews.

Location: United States- Carlstadt, New Jersey Founded in 1985, ATS is a company with a presence in the United States, Mexico and the United Kingdom. We are professionals in Industrial Maintenance and we make factories run better. Fundada en 1985, ATS es una empresa con presencia en los Estados Unidos, México y el Reino Unido. Somos profesionales en mantenimiento industrial y hacemos que las fábricas funcionen mejor. Principal Duties/Responsibilities: · Performs expert level break-fix & preventative maintenance. This includes but is not limited to: observing devises in operation to locate root cause of problem; dismantling devices to gain access to and remove defective parts; examining parts to detect imperfections; adjustment of functional parts of devices and control instruments; repair and/or replacement of defective parts; testing of device to observe performance; and performing tests for electrical circuitry and mechanical systems; reconditioning and repairing machine tools. · Identifies and sources parts, supplies and repair items as necessary. Performs evaluations of alternatives to improve cost and / or reliability of equipment. · Independently performs maintenance as per industry standards. · Works with Planner Scheduler to optimize preventative maintenance procedures. · May be required to setup and operate multiple machining operations including but not limited to: lathe, drill press, grinder, and other metalworking tools to make and repair parts. May perform welding tasks. · Complies with 5S and housekeeping standards. · Leads, drives and participates in CI activities--processes, results and cost savings using CI tools and methodology. · Provides assistance to lower level technicians and leadership to project teams. Performs expert functions as a part of training and development. · Troubleshoots and analyzes complex control systems to resolve in-depth software/ hardware and configuration problems. · Utilizes predictive maintenance technologies to collect equipment performance data. Observes trends and makes recommendations. · Updates records and reviews CMMS history and analyzes data. · Completes and conducts on-the-job training and technical self-study programs for career development. · Follows all safety related policies, rules, regulations, technical instructions and guidelines. Situational awareness and identify unsafe behaviors and conditions. Knowledge, Skills, Abilities, & Behaviors Required: · High School Graduate or equivalent (GED). · Associates degree with a Technical focus and 5 years of related experience in specific industry; or, 7 years of experience in specific industry. · Experience in predictive technologies, precision alignments, and general maintenance of applicable process equipment. · Understands electrical, mechanical, fluid power and control systems. Can analyze the problem, synthesize alternative solutions, and perform repairs. · Must be able to use basic hand tools and specialized tools as appropriate. · Experience in vibration analysis or laser interferometer operations, precision alignments, and maintenance of applicable process equipment. · May be required to travel. Physical Demands and Working Conditions: While performing the duties of this job, the employee is regularly required to stand; walk; use hands/fingers to handle, or feel; reach with hands and arms; climb, ascend/descend or balance to heights that may require a ladder or lift; stoop, kneel, crouch, or crawl in confined spaces; and talk or hear. The employee is occasionally required to sit. The employee must occasionally lift and/or move more than 50 pounds. The employee is regularly required to use close vision and color vision. The employee is occasionally exposed to outside weather conditions and risk of electrical shock. Work is typically performed in a factory environment and is usually very loud. In the factory environment, the employee may be exposed to hazardous materials and/or greasy or slippery factory floors. ​ ATS believes in fair and equitable pay. Please note that actual salaries may vary within the range, or be above or below the range, based on factors including, but not limited to, education, training, experience, professional achievement, business need, and location. We also offer market leading benefit programs including Medical, Dental and Vision plans, PTO, a 401k retirement plans with employer matching, tuition reimbursement, and more. Pay Range $40.11 — $51.32 USD ATS is committed to providing equal employment opportunities in all aspects of employment to all applicants and employees without regard to age, color, race, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, disability, veteran status, genetic information, or other legally protected status. Review the privacy policy here. ATS se compromete a brindar igualdad de oportunidades de empleo en todos los aspectos del empleo a todos los solicitantes y empleados, independientemente de su edad, color, raza, religión, sexo (incluido el embarazo, identidad de género y orientación sexual), origen nacional, discapacidad, estatus de veterano, información genética u otro estatus legalmente protegido. Revisión de la política de privacidad aquí here.

Location: St. Petersburg, Russia; Moscow, Russia; Belgrade, Serbia Workplace: remote At NOVACARD , we’re redefining how people use credit. We are the first interest-free and no-annual-fee credit card in Mexico , designed to simplify personal finances and give users complete control - all from a mobile app. With NOVACARD, users can access up to $200,000 MXN in credit , only pay when they use it, and manage everything digitally in under 5 minutes. Our mission is to empower people to make smarter financial decisions by offering flexibility, transparency, and the freedom they need to reach their goals. Simple finances, big goals. About the Role: We’re looking for a DevOps Engineer to design, deploy, and operate AWS infrastructure for a large-scale migration of a digital financial product. You’ll build and maintain a production-ready platform covering AWS networking, Kubernetes/EKS, CI/CD, observability, backup/restore, and secure access management. You’ll collaborate closely with development, system analysis, QA, and engineering teams to ensure fast delivery, stable services, and a controlled migration. Key Responsibilities: AWS Infrastructure Design & Operations Design, deploy, and maintain AWS infrastructure: VPC, Subnets, Route Tables, Security Groups, IAM, EC2, EBS, S3, ELB/ALB/NLB, Route53. Configure AWS networking: public/private subnets, NAT Gateway, Internet Gateway, VPC Peering / Transit Gateway, VPN, routing. Ensure HA, backup/restore, disaster recovery, and production infrastructure principles. Create and maintain AWS infrastructure as code using Terraform. Kubernetes & Containerization Build and operate Kubernetes on AWS (EKS). Work with core Kubernetes objects: Deployment, StatefulSet, DaemonSet, Service, Ingress, ConfigMap, Secret, Job/CronJob, PVC/PV, Namespace, ServiceAccount. Use Helm for application management. Configure Ingress Controller, Load Balancer, and TLS/certificates. Understand Kubernetes storage and ensure stateful applications run reliably. Work with Docker: image builds, registry, container troubleshooting. CI/CD & Automation Build CI/CD processes, preferably with GitLab CI. Automate deployment of applications and dependent services. Integrate infrastructure changes into pipelines and maintain reproducible environments. Observability, Reliability & Operations Set up monitoring with Prometheus + Grafana: metrics and alerts. Organize centralized log collection and analysis: Loki/ELK/OpenSearch. Diagnose network and system issues in Linux. Ensure production stability, respond to incidents, and eliminate root causes. Security & Access Management Manage secrets: AWS Secrets Manager / Vault/OpenBao / External Secrets. Configure RBAC/IAM and follow the principle of least privilege. Ensure secure service-to-service communication and infrastructure access. Data & Services Support PostgreSQL, Redis, RabbitMQ/Kafka at the infrastructure and application integration level. Ensure backup/restore and fault tolerance for stateful services. Help teams deploy and maintain dependent services in Kubernetes. Key Requirements: AWS & Networking Strong AWS experience: VPC, Subnets, Route Tables, Security Groups, IAM, EC2, EBS, S3, ELB/ALB/NLB, Route53. Good understanding of AWS networking: public/private subnets, NAT Gateway, Internet Gateway, VPC Peering / Transit Gateway, VPN, routing. Kubernetes & Containers Hands-on experience building and operating Kubernetes on AWS (EKS). Understanding of core Kubernetes objects: Deployment, StatefulSet, DaemonSet, Service, Ingress, ConfigMap, Secret, Job/CronJob, PVC/PV, Namespace, ServiceAccount. Experience with Helm. Experience configuring Ingress Controller, Load Balancer, and TLS/certificates. Experience with Docker: image builds, registry, container troubleshooting. Understanding of Kubernetes storage and stateful application operation. IaC & CI/CD Terraform — creating and maintaining AWS infrastructure as code. Experience building CI/CD, preferably GitLab CI. Data, Queues & Storage Experience with PostgreSQL, Redis, RabbitMQ/Kafka at the infrastructure and application integration level. Understanding of HA, backup/restore, disaster recovery, and production infrastructure principles. Monitoring, Logging & Secrets Monitoring: Prometheus + Grafana, configuring metrics and alerts. Centralized log collection and analysis: Loki/ELK/OpenSearch. Secrets management: AWS Secrets Manager / Vault/OpenBao / External Secrets. Linux & Security Linux administration and confident diagnosis of network and system issues. Experience configuring RBAC/IAM and following the principle of least privilege. Especially Important Practical Experience: The engineer must be able to design an AWS network from scratch → set up EKS → deploy an application and dependent services → configure ingress/DNS/TLS → CI/CD → monitoring/logging → backup → hand over a production-ready infrastructure for operation. Nice to Have: Experience migrating lending systems or fintech products. Experience building CI/CD with GitLab CI. Hands-on experience with Vault/OpenBao, External Secrets. Experience with Kafka and stateful services in Kubernetes. What We Offer: Participation in a large-scale migration of a digital financial product. Work with a modern stack: AWS, Kubernetes/EKS, Terraform, CI/CD, Prometheus/Grafana. Close collaboration with development, system analysts, QA, and engineers. Opportunity to build a production-ready platform from scratch and hand it over to operations. Terms and work format — discussed individually

Location: Lisbon, Portugal Joom is a global cross-border marketplace where millions can find anything they want at fair prices. Joom helps consumers to make shopping easy and entertaining and provides access to interesting and unique goods from around the world. Joom is one of the key businesses of Joom Group, an international group of tech-centric group of e-commerce companies founded in 2016 in Latvia. Joom also includes other businesses: JoomPro, the first and only end-to-end cross-border B2B marketplace; JoomPulse, an AI analytics tool for Mercado Livre sellers; and Onfy, a pharmaceutical marketplace in Germany. Joom Group has offices in Latvia, China, Germany, and Brazil, with its headquarters in Lisbon, Portugal. We work as one international team, sharing knowledge and collaborating across countries, businesses and products. We are currently looking for Senior/Middle+ Backend Developers to join our teams: JoomPro is the first and only end-to-end cross-border B2B marketplace. It serves small, medium, and large businesses, handling orders of any size from start to finish. Today, JoomPro operates in Brazil and Mexico, with plans to expand into other markets. Tech stack: Go, MongoDB, Redis, Kafka, Amazon AWS, Docker, Kubernetes, Elasticsearch The Development Infrastructure team is responsible for the uninterrupted operation of internal services, the fault tolerance of components, the evolution of the codebase architecture, as well as creating and maintaining tools for developers. Tech stack: Go, Bazel, Jenkins, Kubernetes, Helm, KCL, Terraform, MongoDB, Postgres The Antifraud Infrastructure team is responsible for ensuring platform security, including infrastructure protection, bot management, user device authorization, personal data storage, and preventing data leaks. Tech stack: Go, Kotlin, MongoDB, Cassandra, Redis, Kafka, Spark (Scala, SQL), Amazon AWS, Docker, Kubernetes, ML The Client Backend team is responsible for all API requests coming from our mobile apps and Joom's web client. Tech stack: Go, MongoDB, Redis, Casandra, Kafka, sometimes Spark (Scala, SQL), Docker, Kubernetes, Grafana, Prometheus Responsibilities Come up with architecture Program in Go (Go is not a must for us; it is more important for a successful candidate to have solid algorithm skills, fundamental technical knowledge, and great coding skills in general) Provide fault tolerance for coded services in an AWS environment Be prepared for a constant increase of processed and stored data loads and volumes Participate in new feature and product development discussions Requirements Confident knowledge of any of the programming languages: Go/Java/Kotlin/C++/Python/Scala Complex project development experience Excellent algorithmic training Experience in development for Linux / Unix Preferred Experience with highload Experience with MongoDB Experience with Kubernetes We offer Compensation package: base salary and performance-based bonuses Office-first: flexible hours with a possibility to work remotely 52 days per year Care & Wellbeing: health insurance (including dental care) for employees and their children, daily meal allowance, and 100% paid sick leave Relocation Support: full assistance for a smooth relocation for the employees and their family AI-first approach: licenses and access to a wide range of AI tools Team & Growth: collaboration with colleagues across Portugal, Brazil, Latvia and China, with opportunities for promotions, professional trainings, and English & Portuguese courses Community & Engagement: annual team building activities, knowledge-sharing workshops, and a strong sense of team work Before applying for the above position please review our Candidate Privacy Notice here . By responding to the vacancy, you acknowledge that you have read our Privacy notice.

Location: Béthune, Pas-de-Calais, France About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role We’re looking for an L2  IT Technician in data center to support and maintain large-scale GPU clusters in a data center environment. We are seeking an experienced IT Hardware Support Engineer to This role focuses on troubleshooting of high-performance server hardware, including GPU clusters. You will be deeply involved in resolving complex hardware incidents, proactively handling L1/L2 support via the ticketing system. Working closely with IT infrastructure engineers and L3 technicians, you will help optimize diagnostics, reduce resolution times, and continuously improve SLA performance. Your responsibilities will include Solve hardware related issues with servers, involving in-depth advanced level troubleshooting Report to hardware problem management, execute workarounds and solutions Solve proactively L1/L2 tasks through ticket system Update new processes and documentation for IT hardware team Collaborate with IT infrastructure engineers and L3 Technicians to improve SLA with complex diagnostics Improve support processes, documentation and training materials Basic level of network tasks, troubleshooting and support Requirements Knowledge of datacenters, and server equipment Advanced knowledge of IT hardware and practical experience of troubleshooting Advanced skills working with the Unix/Linux operating system and command line Experience with equipment monitoring, data analysis and presentation Proactiveness and sense of responsibility High proficiency in spoken and written English It will be a bonus if you have Knowledge of network equipment and troubleshooting in advanced level Driving license type B 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: EMEA 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. What You’ll Be Doing Growth & Revenue Leadership Contribute to revenue targets, affiliate partnerships and VIP services. Build and scale a high-performing global affiliate programme that consistently produces strong ROI. Drive business strategies, partnerships, and campaigns to win market share and outgrow competitors. Drive digital asset initiatives, exploring new products and services to expand the company's offerings and enhance the overall customer experience. Execution & Performance Translate strategy into an executable plan with measurable KPIs and deliverables. Continuously optimize affiliate campaigns, user conversion funnels, and VIP retention programs to maximize revenue impact. Competitive Positioning Monitor industry trends and competitors move to identify opportunities and threats. Develop product ideas and ensure timely launches in collaboration with global teams. Partnership & Ecosystem Development Partner with legal, compliance, and risk to ensure governance and operational integrity, consider potential licensing strategies, and facilitate regulatory liaisons. Represent the company at industry events and conferences, build relationships and partnerships with key stakeholders and clients; and Build strong relationships with affiliates, VIPs, and ecosystem partners to deepen OKX’s position as top 5 exchanges. Spearhead campaigns to strengthen brand presence and loyalty. Leadership & Team Development Recruit, develop, and lead a high-impact commercial team focused on affiliate management, BD growth, and VIP servicing. Build a performance-driven culture that consistently exceeds targets. Core Experience (Must-Have): 10+ years of leadership experience at a top-tier crypto exchange, fintech, or trading platform Fluent in local languages and English. Mandarin is an advantage. Strong influencing and negotiation skills with external stakeholders Strong working knowledge of matters related to license application, ongoing reporting, and compliance requirements in Africa, including but not limited to, with the FSCA and SARB, etc.) in this regard. Experienced in working in a licensed institution, including ensuring compliance and developing licensing strategies for product-market fit. Eligible and qualified with RE1, RE4 and/or RE5 certifications. Strong influencing and negotiation skills with external stakeholders Hands-on experience working with regulators and leading licensing applications and/or acquisitions Proven ability to operate in heavily regulated and competitive environments while driving growth. Demonstrated ability to deliver multi-million dollar monthly revenue growth through BD and affiliate acquisition strategies. Experience owning P&L, setting market KPIs, and exceeding aggressive growth targets. Willingness to travel as needed. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events More that we love to tell you along the process! 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: Serbia Job Overview : As a React Frontend Software Engineer, you will be responsible for developing and implementing user interface components using React.js and workflows (such as Flux or Redux). You will ensure that these components and the overall application are robust and easy to maintain, ensuring a seamless user experience. Key Responsibilities: Development and Design: Develop new user-facing features using React.js. Build reusable components and front-end libraries for future use. Translate designs and wireframes into high-quality code. Performance Optimization: Optimize components for maximum performance across a vast array of web-capable devices and browsers. Collaboration: Collaborate with product team and back-end developers for defining and implementing innovative solutions for the product direction, visuals, and user experience. Testing and Debugging: Write and maintain test cases to ensure the robustness and reliability of the code. Debug and fix issues reported in the production environment. Maintenance and Upgrades: Keep up-to-date with the latest React.js trends and industry best practices. Requirements: Education: Bachelor's degree in Computer Science, Software Engineering, or a related field. Experience: At least 5-6 years of experience in React.js development. Experience with popular React.js workflows (such as Flux or Redux) is a must. Technical Skills: Proficiency in JavaScript, including DOM manipulation and the JavaScript object model. Familiarity with newer specifications of ECMAScript. Experience with data structure libraries. Soft Skills: Strong problem-solving skills, a keen eye for detail, and a team-oriented mindset. Excellent communication skills for coordinating with other teams. Other: Familiarity with RESTful APIs, modern front-end build pipelines and tools, code versioning tools such as Git. Disclaimer: This job description is not an exhaustive list of the skills, efforts, duties, and responsibilities associated with the position. The company is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations, and ordinances. Note: The actual duties and responsibilities may vary depending on the department's needs and the evolution of the role.

Location: Poland Job Overview : As a React Frontend Software Engineer, you will be responsible for developing and implementing user interface components using React.js and workflows (such as Flux or Redux). You will ensure that these components and the overall application are robust and easy to maintain, ensuring a seamless user experience. Key Responsibilities: Development and Design: Develop new user-facing features using React.js. Build reusable components and front-end libraries for future use. Translate designs and wireframes into high-quality code. Performance Optimization: Optimize components for maximum performance across a vast array of web-capable devices and browsers. Collaboration: Collaborate with product team and back-end developers for defining and implementing innovative solutions for the product direction, visuals, and user experience. Testing and Debugging: Write and maintain test cases to ensure the robustness and reliability of the code. Debug and fix issues reported in the production environment. Maintenance and Upgrades: Keep up-to-date with the latest React.js trends and industry best practices. Requirements: Education: Bachelor's degree in Computer Science, Software Engineering, or a related field. Experience: At least 5-6 years of experience in React.js development. Experience with popular React.js workflows (such as Flux or Redux) is a must. Technical Skills: Proficiency in JavaScript, including DOM manipulation and the JavaScript object model. Familiarity with newer specifications of ECMAScript. Experience with data structure libraries. Soft Skills: Strong problem-solving skills, a keen eye for detail, and a team-oriented mindset. Excellent communication skills for coordinating with other teams. Other: Familiarity with RESTful APIs, modern front-end build pipelines and tools, code versioning tools such as Git. Disclaimer: This job description is not an exhaustive list of the skills, efforts, duties, and responsibilities associated with the position. The company is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations, and ordinances. Note: The actual duties and responsibilities may vary depending on the department's needs and the evolution of the role.

Location: Romania Job Overview : As a React Frontend Software Engineer, you will be responsible for developing and implementing user interface components using React.js and workflows (such as Flux or Redux). You will ensure that these components and the overall application are robust and easy to maintain, ensuring a seamless user experience. Key Responsibilities: Development and Design: Develop new user-facing features using React.js. Build reusable components and front-end libraries for future use. Translate designs and wireframes into high-quality code. Performance Optimization: Optimize components for maximum performance across a vast array of web-capable devices and browsers. Collaboration: Collaborate with product team and back-end developers for defining and implementing innovative solutions for the product direction, visuals, and user experience. Testing and Debugging: Write and maintain test cases to ensure the robustness and reliability of the code. Debug and fix issues reported in the production environment. Maintenance and Upgrades: Keep up-to-date with the latest React.js trends and industry best practices. Requirements: Education: Bachelor's degree in Computer Science, Software Engineering, or a related field. Experience: At least 5-6 years of experience in React.js development. Experience with popular React.js workflows (such as Flux or Redux) is a must. Technical Skills: Proficiency in JavaScript, including DOM manipulation and the JavaScript object model. Familiarity with newer specifications of ECMAScript. Experience with data structure libraries. Soft Skills: Strong problem-solving skills, a keen eye for detail, and a team-oriented mindset. Excellent communication skills for coordinating with other teams. Other: Familiarity with RESTful APIs, modern front-end build pipelines and tools, code versioning tools such as Git. Disclaimer: This job description is not an exhaustive list of the skills, efforts, duties, and responsibilities associated with the position. The company is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations, and ordinances. Note: The actual duties and responsibilities may vary depending on the department's needs and the evolution of the role.

Location: New York City, NY, US Workplace: Hybrid Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance. Sensor Tower is looking for a Senior Manager of Business Strategy to be an integral part of our Innovation & Strategy team providing white glove service and bespoke projects to our clients on an ongoing basis. Sensor Tower’s Innovation & Strategy team works with Sensor Tower’s most discerning clients who need consulting support to maximize the value of our data and achieve their strategic goals. We are divided into two consulting verticals, Business Strategy and Solutions Engineering. The Senior Manager of Business Strategy will handle a subset of clients, working cross-functionally across Solutions Engineering and other Sensor Tower departments, including sales, product and marketing teams. This is a consultative role that gives you an opportunity to drive innovative initiatives for exceptional clients and is right for someone with direct client experience and a background in digital marketing and/or mobile apps, who can deliver exceptional results. Sensor Tower operates a hybrid working policy, and you’ll work from our New York office two days a week. Salary: $125,000 - $170,000 What the Senior Manager of Business Strategy will do: - Manage relationships with key Sensor Tower clients. Most clients are publicly traded Fortune 500 names. Focus of clients will be US-based. - Understand the full suite of Sensor Tower offerings, including our Mobile App, Digital Advertising, Audience and Web products, and leverage these tools for client success. - Manage new client implementations across different verticals, while maintaining current clients - Support new sales and proposal processes with our Sales Team. - Develop cross-functional relationships across Sensor Tower to be able to leverage all our resources for our clients. - Drive innovation, working with our Advanced Data Studio team to provide go-to-market for new product development - Become an industry expert, keeping a pulse on trends and ad tech news - Over time supports a growing team as it becomes the premier service provider in a fast-growing company across the digital ecosystem. Experience the candidate can bring: - 7+ years of experience in a consulting role with heavy client-facing responsibilities at an ad or marketing agency, app or technology company, or other consulting company focused on business/marketing strategy. Management consulting experience is a plus. - Extremely comfortable working with data. Support multiple clients by providing solutions which leverage multiple data sources to provide actionable insights. - Experience managing people in this industry or competency. - Demonstrated experience with Excel-based data analytics and reporting, and expert at storytelling through PowerPoint or Google Slides. - Strong communication skills with the ability to convert technical jargon into layman’s terms so clients understand exactly what we can provide to them. - Experience working with stakeholders from many different teams to provide solutions which exceed customer expectations, including at the executive level. - Highly proficient in project management and cross-team communication. Documentation and organization is a must. - Most importantly, you’re brimming with entrepreneurial drive. You see opportunities where others see only roadblocks. You roll up your sleeves and develop innovative solutions for clients where no precedent exists, and you can’t wait for the next problem to solve. Fraud warning: It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying. To all recruitment agencies: Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location: New York, NY (HQ) 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 The Applied Science team builds models and tools that solve Ramp’s most critical problems: from underwriting businesses to combatting fraud to making spend management smarter. We’re deeply embedded in the business and provide a quantitative foundation for decision making. As an Applied Science intern, you’ll be a fully integrated member of the team and own your project from start to finish. Working with engineers, product managers, and business stakeholders, you’ll translate complex business needs into scalable machine-learning-driven solutions. This is a chance to apply ML concretely, ship code, and create genuine value for Ramp and our customers. You will focus on exciting problems in areas like: credit, fraud, growth, or our core product.   WHAT YOU’LL DO - End-to-End ML: own the model lifecycle from data exploration and feature engineering to training, benchmarking, deployment, and monitoring - State-of-the-Art AI: leverage the latest Large Language Models (LLMs) to solve novel problems and create new product capabilities for our customers - Versatile Techniques: apply the right tools to the right problems, whether it’s deep learning, gradient boosting, or causal inference - Rigorous Experimentation: quantify the impact of your work through A/B tests and other statistical methods - Collaborate: partner closely with product and business leaders to translate models and insights into actionable strategy and user-facing features   WHAT YOU NEED - B.S., M.S. or Ph.D. Student: currently pursuing a degree in Data Science, Computer Science, Math, Physics, Economics, Statistics, or other quantitative fields with an expected graduation date between Dec 2027 - 2029. Graduate degrees are preferred, but not a must. - Strong ML Fundamentals: solid understanding of the mathematical foundations of machine learning, statistics, probability, and optimization - Strong Interest or Experience with AI: curiosity and drive to integrate cutting edge LLMs and agents into applied solutions - Python Proficiency: good grasp of common Data Science libraries (pandas, scikit-learn, NumPy, PyTorch, etc.) - SQL Knowledge: experience wrangling data in a modern data warehouse (e.g. Snowflake, BigQuery, Redshift, Clickhouse) - Practical Experience: track record of curating datasets and building/evaluating ML models - Strong Communication: ability to clearly explain complex concepts to both technical and non-technical audiences and use data to build a compelling narrative - Bias For Action: a comfort with ambiguity and desire to ship solutions quickly then iterate   NICE TO HAVES - Publications, Projects, or Previous Experience: relevant experience applying AI/ML and demonstrating your passion for the field - Production ML Mindset: knowledge of software engineering best practices applied to ML including version control (Git), testing, and writing maintainable code - Data Orchestration: experience with leveraging modern data orchestration platforms (Airflow, Dagster, Prefect, Metaflow)   COMPENSATION - The monthly rate for this internship is $12,500 USD + housing stipend   RAMP BENEFITS - Apple MacBook - Catered lunches in NYC office Monday-Friday - Weekly coffee stipend 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: Seoul, South Korea At Pixelogic, we believe that the fusion of creativity and technology holds the power to inspire and engage audiences on a global scale. With a strong emphasis on end-to-end creative, localization, and distribution services, we take pride in breaking cultural barriers and ensuring your message resonates with diverse audiences worldwide. Our dynamic team of creative minds, skilled linguists, and tech-savvy experts work collaboratively to deliver unparalleled solutions that cater to your unique needs. From creative concepting and execution of original content, to precision-driven localization services, to cutting-edge software and distribution solutions, we are committed to elevating your product and enabling seamless expansion into new markets. Pixelogic is a majority-owned and consolidated subsidiary of Imagica. Together, we are committed to serving the world’s leading filmmakers and content creators with industry-leading services and next-generation solutions. About the Role The ideal candidates will have experience and knowledge to record, edit, and mix localized and original contents effectively and efficiently in accordance with the clients’ requirements. As a part of a team, they must be motivated and have a sense of responsibility, and they must be able to address issues in an active manner. ---------------------------------------------------------- 직무 소개 이상적인 후보자는 고객의 요구에 맞춰 현지화 콘텐츠 및 오리지널 콘텐츠를 녹음, 편집, 믹스할 수 있는 경험과 지식을 갖춰야 합니다. 또한 팀의 일원으로서 팀원들에게 동기를 부여하고 책임감을 가지며 문제를 적극적으로 해결할 수 있어야 합니다. Responsibilities: Recording and editing dubbing projects mainly in Korean. Mixing the dubbed mixes. Audio services related to language dubbing, conforming, editing, QC’ing, and other creative audio services and tasks assigned. Collaborate internally and globally for highest quality. Regularly check and maintain conditions of studio facilities and equipment. ---------------------------------------------------------------------------------- 책임 - 주로 한국어 더빙 프로젝트를 녹음 및 편집 - 녹음된 오디오를 믹스 - 오디오 서비스와 관련된 언어 더빙, 콘폼 작업, 편집, 믹스, QC, 그리고 창의적인 오디오 서비스와 그 밖에 할당된 임무 - 최고 품질을 위한 내부 팀원들은 물론 글로벌 팀과의 협업 - 정기적인 스튜디오 시설 및 장비의 상태 확인 및 유지 보수 - 보안 정책을 준수하고 맡겨진 정보자산을 보호 Requirements 1+ year experience in recording and editing music, audio, movie or TV sound. Excellent ProTools operational skills, including the use of video Excellent communication skills over phone and email Deep sense of urgency and ability to work in a fast-paced environment with self-direction Problem solver with creative and innovative approach and ability to think out of the box Outstanding attention to detail Preferred Strong skills with Mac OS and Microsoft Office Suite Familiarity with other media applications such as Adobe Suite and Final Cut Pro Business level English Physical Requirements: Ability to operate and work in front of a computer in an audio mix stage setting ----------------------------------------------------------------- 자격 요건 - 오디오, 음악, 영화, 또는 TV Sound 녹음 및 편집 경력 1년 이상 - 비디오 사용을 포함한 우수한 ProTools 운용 기술 - 전화 및 이메일을 통한 뛰어난 소통 능력 - 신속한 상황 대처 및 빠르게 변화하는 환경속에서 주도적으로 일할 수 있는 능력 - 창의적이고 혁신적으로 문제에 접근하고 유연하게 사고하며 해결할 수 있는 능력 - 섬세한 관찰력 우대사항 - Mac OS, Microsoft Office 사용에 능통하신 분 - Adobe, Final Cut Pro 와 같은 다양한 미디어 애플리케이션에 능통하신 분 - 비즈니스 레벨의 영어 실력을 보유하신 분 - 사운드 디자인 경험이나 효과 작업 경험이 있는 분 - 5.1, Atmos 믹스 경험이 있는 분 Benefits Equal Opportunity Employer We are an equal opportunity employer. Our employment decisions are made without regard to race, religion, color, gender, gender identity, disability, age, sexual orientation, national origin, marital status, citizenship, veteran, military, or any other legally protected status. 고용 평등 기업 저희는 고용 평등 기업으로, 인종, 종교, 피부색, 성별, 성 정체성, 장애, 나이, 성적 지향성, 국적, 결혼 유무, 시민권, 참전용사, 군인 혹은 기타 법적 보호를 받는 지위가 채용 결정 시 아무런 영향을 주지 않습니다. Benefits

Location: Petaling Jaya, Malaysia D-ploy is an IT and Engineering Solutions company with operations throughout the EMEA region including Switzerland, Germany, Czech Republic, Austria, UK, as well as the USA. We pride ourselves on delivering innovative and superior services and solutions to numerous industry-leading clients. By building relationships and trusted partnerships within the IT community, we optimize our customer‘s IT productivity and contribute to the organization’s success and value. We are interested in talking to engaging, flexible, and solution-oriented individuals who are looking to become a part of a dynamically growing and international organization. We are focused on creating value where IT counts, join us! Tasks and Responsibilities Provide technical and troubleshooting assistance related to computer hardware and software, mobile devices and other tech tools and products First and second level technical support – calls/tickets/user interaction Provide prompt responses to IT related questions from end-users Reliable documentation of all end-user interactions in customer ticket system ‘Service Now’ (e.g., incidents, requests) Create, maintain, utilize knowledge articles Provide IT onboarding trainings to new starters Contribute to continuous improvement initiatives Requirements Language skills: fluent English and Malay, other languages are a plus 2+ years of experience in a similar role Strong problem solving/analytical abilities Excellent communication skills and customer orientation Attention to detail and ability to multi-task, handling multiple stakeholders Ability to prioritize and willingness to work self-sufficiently and well organized Team player and supportive personality Experience in regulated IT environments is a plus (e.g. GxP) All candidates must provide a Criminal record not older than 3 months Benefits Broad range of activities, tasks, and projects Flexible working conditions Fishing for Friends program – our referral program Further development and professional advancement Friendly and international working environment Company-sponsored events Is IT in your DNA?

Location: Chattogram, Bangladesh You will be a practitioner on our telehealth platform 'Intellect', where your role is to support our clients' mental health and personal growth based on the individual needs and goals. This is delivered primarily through scheduled 60-minute video sessions on our platform. This is a freelance remote role with the flexibility to decide your business hours. Local candidates are preferred but others can still be considered. This role is a great opportunity to supplement your current job or private practice. We're seeking to partner with Clinical Psychologists and Counsellors to be part of a community working collaboratively to bring greater mental health access to the public to provide mental health coaching What You'll Do Provide 1-on-1 telehealth/or onsite mental health support for Intellect’s clients Focus on clinical cases such as depression, anxiety, trauma, schizophrenia, eating disorders, addiction etc. Collaboratively work with the internal clinical team by suggesting improvements to the program and the platform Requirements Has a Master / Postgraduate Diploma training in Counselling or Clinical Psychology Candidates must be skilled in Cognitive Behavioural Therapy or other evidence-based approaches (e.g. Motivational Interviewing, DBT, SFBT, etc.) Candidate must have at least 300 clinical hours post masters degree Candidate can communicate in English and their local language Candidates with prior experience in EAP, counselling working adults or coaching managerial roles is a plus Candidates who are open to working onsite if necessary is a plus

Location: Colombia; Peru; Argentina; Mexico; Spain; Costa Rica 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 fast-growing startups, digital agencies, SaaS companies, and tech-enabled businesses across industries such as MarTech, FinTech, EdTech, and eCommerce. Unlike traditional outsourcing agencies, we place you directly with innovative companies where you become a valued member of the team. Role Type: F ull-time (Offshore - CET/BST Timezone) Engagement: Independent Contractor Job Summary This company is at the forefront of the longevity revolution, providing individuals with the most comprehensive biomarker testing available to optimize their health and lifespan. As a Senior SDR, you will be the engine of growth for a high-impact preventive health platform. You will engage with health-conscious individuals across Europe and Latin America, translating complex biological data into a compelling value proposition. This is a high-velocity, high-reward role designed for an ambitious sales professional who wants to play a pivotal role in a rapidly expanding D2C health-tech environment. Key Responsibilities Manage a high volume of inbound leads with a target response time of 5 minutes or less during business hours. Conduct 50+ personalized conversations daily via phone, email, and text to qualify prospects and drive conversions. Own the full top-of-funnel cycle, aiming to add 100 new paying members per month. Drive a target Average Order Value (AOV) of $750 through consultative selling and education. Maximize customer lifetime value by achieving a 50% upsell rate on core service offerings. Expertly navigate health-related objections and provide expert-backed guidance on the value of comprehensive biomarker testing. Collaborate with the leadership team to refine sales scripts and outreach strategies. Requirements 2+ years of experience as an SDR or in a sales-driven role within a D2C tech environment. Bilingual fluency in Spanish and English (Must-have). Proven track record of high-volume outreach and meeting/exceeding aggressive sales quotas. Exceptional organizational skills with a self-starter "go-getter" mentality. Comfortable working in CET/BST timezones with a required overlap with EST (10 AM – 2 PM). Experience in Healthcare sectors. Benefits 🌎 Fully remote role with flexible working hours 🚀 Work with high-growth international companies 🎯 Performance-based bonuses and incentives 🤝Opportunity to work at the cutting edge of longevity and preventive health 🧠 Ongoing training, mentorship, and sales development support

Location: Al Khobar, Saudi Arabia; Dubai, United Arab Emirates Eram Talent is hiring on behalf of one of our prestigious clients. We are currently seeking a highly experienced and strategic Training & Development professional to drive organizational excellence through innovative training solutions. If you are a visionary leader passionate about capability building and talent transformation, this is an excellent opportunity to shape the learning culture of a dynamic organization. The Training & Development Manager is responsible for efficiently managing activities related to the design and execution of comprehensive training programs for the client. By developing a best-in-class training catalogue and analyzing key factors prior to designing in-house courses, this leader will ensure that all training workshops are conducted efficiently. The ultimate objective is to continuously develop and enhance employees’ knowledge, skills, and competencies required to achieve the strategic business objectives of the organization. Key Responsibilities Strategy & Governance Contribute to the development and execution of the department’s short to mid-term strategic plans to ensure alignment with strategic priorities and corporate goals. Assist in the development of annual business plans for assigned areas of responsibility to support the achievement of financial and strategic objectives. Monitor, control, and report on key performance indicators (KPIs) related to the department to track performance and recommend corrective actions. Operational Benchmark available training courses and best market practices to develop a comprehensive, state-of-the-art training catalogue. Coordinate with the supervising Training Coordinator to design in-house training courses and materials based on critical factors such as course objectives, methodology, and agenda. Develop and communicate regular reports on training performance, effectiveness, and quality to measure the ROI and efficiency of training programs. Oversee all e-learning processes and report on e-learning performance, effectiveness, and quality directly to the Talent Management Director. Analyze collected data and participant feedback to propose data-driven improvements to training effectiveness. Evaluate training courses on a regular basis and provide continuous recommendations for curriculum enhancement. Ensure the seamless implementation of recommended improvements by regularly following up with concerned stakeholders. Partner closely with the Technology function to develop specialized technical training programs. Policies, Systems & Continuous Improvement Identify opportunities for the continuous improvement of systems, processes, and practices to increase overall productivity and operational efficiency. Implement all relevant departmental policies, processes, procedures, and instructions to ensure work is carried out in a highly controlled, consistent, and compliant manner. Requirements Education: Bachelor’s degree in Business Administration, Human Resources Management, or an equivalent discipline from a recognized and accredited university. Experience: Minimum of 11 years of proven experience in Training & Development, Training, or a related field, out of which at least 5 years must be in a managerial or leadership position. Certifications: Professional HR/L&D certifications (CIPD or SHRM) are highly preferred. Language Skills: Demonstrated professional proficiency in both oral and written English.