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Location: Amman, Jordan We are looking to hire a Marketing Operations Officer who leads the operational backbone of the marketing function by ensuring data integrity, automation excellence, performance visibility, and campaign efficiency across all digital initiatives. This is in addition to maintaining and continuously enhancing the marketing database, ensuring accuracy, enrichment, segmentation readiness, and compliance standards. You will oversee marketing automation execution, manage digital campaign deployment and reporting, and translate performance data into actionable optimization insights. Responsibilities Lead the execution of marketing automation activities, including email campaigns, nurturing flows, segmentation logic, and performance tracking within the marketing automation platform. Develop, monitor, and analyze campaign performance reports, translating analytics into clear insights and optimization recommendations. Own the governance, maintenance, enrichment, and quality control of the marketing database, ensuring segmentation accuracy, data hygiene standards, and CRM alignment. Lead end-to-end execution of digital campaigns (LinkedIn, paid media, email, landing pages), ensuring accurate tracking, reporting, and continuous performance improvement. Allocate and monitor digital campaign budgets, ensuring cost-efficiency, performance alignment, and optimization against defined KPIs and revenue objectives. Build structured performance dashboards that provide visibility into MQL generation, engagement metrics, campaign ROI, and funnel contribution. Identify process gaps within marketing operations and proactively implement structured workflows to improve efficiency, accuracy, and scalability. Maintain awareness of evolving marketing technology tools, automation best practices, and data governance standards to continuously enhance operational maturity. Requirements Bachelor’s degree in Marketing, Business Administration, Data Analytics, or a related field. 3-5 years experience in marketing operations, automation, or digital performance (B2B preferred, ideally fintech/tech). Strong hands-on experience with CRM + marketing automation platforms (e.g., Zoho CRM, HubSpot, Salesforce). Proven ability to: Manage and clean marketing databases (segmentation, enrichment, data quality) Execute and optimize digital campaigns end-to-end (email, paid media, landing pages) Track performance accurately (UTMs, attribution, conversion tracking) Strong analytical capability to: Build dashboards and interpret performance (MQLs, funnel, ROI) Translate data into actionable insights and optimizations Link marketing performance to revenue impact Solid understanding of: Lead lifecycle & funnel metrics Attribution models & campaign efficiency (CPL, CPA, ROI)

Location: ROYAL CARIBBEAN GROUP, Worldwide ISMIRA Agency actively recruiting for position LEARNING & DEVELOPMENT CONSULTANT onboard Royal Caribbean Cruises! Learning & Development Consultant is responsible for all shipboard training processes, training record keeping and the crew welfare program. They foster a culture of continuous learning and teamwork, enhancing crew engagement and job satisfaction. BENEFITS: Work in Royal Caribbean Cruises Ltd. named one of the Top-Rated Workplaces Earn recognition and career advancement opportunities Travel around the World Experience working with more than 72 nationalities Permanent job with contract 6-8 months onboard followed by 60 days of vacation Save Money as you do not pay for food and accommodation on board Competitive salary (find out when apply) Visa fee will be reimbursed on board Medical insurance provided during contract RESPONSIBILITIES Lead and manage all learning and e-learning programs on board the vessel, including planning, evaluation, and administration. Deliver training courses including but not limited to the Viking Guest Service Excellence Program, Viking Onboarding Program and Viking Leadership Program. Drive leadership development by providing coaching to the Department Heads, Supervisors and Crew Members to support their career growth and to cultivate talent and prepare for succession planning. Maintain and update training records in MXP, ensuring accurate data entry and reporting. Support the Crew Purser with the sign-on process during periods of high crew turnover. Schedule the monthly training calendar, in coordination with other training, HR and operational needs. etc. REQUIREMENTS: A minimum of 2 years of experience as an Onboard Trainer, L&D Coordinator or similar position Strong presentation, communication and facilitation abilities, with experience delivering training in a multicultural environment, ideally on board a vessel. Exceptional leadership and interpersonal skills, with the ability to inspire and guide crew members and the Leadership Team. Solid administrative skills are preferred, and proficiency in PC-based databases, spreadsheets, and word processing systems (Word, Power Point) is required. Must be flexible, stress-resistant, and a committed team player. Ability to work independently when delivering training and collaboratively when developing schedules and identifying needs with ship management. Ability to communicate tactfully with guests, department heads and shipboard Employees to resolve problems and negotiate resolutions. Ability to operate basic office equipment, including telephones, computers and copy machines. Fluent ENGLISH skills - both spoken and written NOTE: Nationalities that we can process: 🇱🇹 🇱🇻 🇪🇪 🇵🇱 🇺🇦 🇪🇺 For 🇲🇩 🇬🇪 🇧🇾 🇷🇺 additional security / background check may be required Last updated: March 15, 2024 You can submit your Resume here by pushing APPLY TO POSITION button If you are not sure what position to apply for, you may instead submit a general application here and we will advise you: https://ismira.breezy.hr/p/c3fb653b09b501-general-application-for-hospitality-positions

Location: Yerevan; Poland; Ukraine; Serbia; Valencia Workplace: remote About Provectus Provectus is an AWS Premier Partner and an Anthropic Strategic Partner, working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide.   Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture.   Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements. Where this role sits You will work in a small, senior pod alongside an FDX; our delivery arc is Sprint → Enable → Realize: Forward Deployed Executive (FDX) owns the commercial relationship and the business outcome. Works alongside the client's leadership or C-suite level to move the client's KPIs — revenue growth, cost reduction, risk reduction. Forward Deployed Engineer (FDE) embeds with a client to change how that client operates. You own the method; nobody hands you a ticket. You map the client workflow as it actually happens, identify the business problem underneath it, build a working AI solution, present to the client in the language of outcomes, and transfer it. Provectus maintains industry Blueprints — working systems that have already shipped for a client in the same industry — so you begin from running code and tuning it to this client's specific book, regulators, and operating posture. You will be measured on whether the Business Unit's number moved, not on hours or scope delivered. Requirements: Mindset Proactive and self-directed; identify problems before they're handed to you Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job B2+ English, comfortable collaborating across distributed, multicultural teams Client Engagement You are willing to spend time understanding and doing someone else’s job on the client's side before you write a line of code Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO, presenting outcomes to them You can produce a scoped, phased delivery plan with clear deliverables, dependencies, and risks — and estimate what it will cost to build and to run Technical depth 7+ years building and running production systems. Solid AI/ML foundations. You understand what the models do well enough to reason about failure modes Designed and shipped to production LLM applications and agentic workflows — not demos, not POCs, not notebooks Agentic orchestration: multi-step workflows, graph-based orchestration, tool use, state management, and recovery from partial failure Experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) and agent frameworks. Experience building and optimizing RAG systems in production Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack. Experience in making and defending architectural trade-off decisions Hands-on AWS production depth: Bedrock, Bedrock AgentCore, Lambda, ECS, S3, SQS, ECR, or similar. GCP or Azure is a plus Cloud-native delivery: containers, ECS or Kubernetes, IaC, and CI/CD applied to AI pipelines You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured, how you produced ground truth, and what gated a release Model and agent monitoring, drift detection Cost and latency discipline: model tiering, caching, and the ability to say what a workload costs to run before it runs Hands-on production experience with the Claude ecosystem —  Claude Code, CLAUDE.md, hooks, skills files.  Spec-driven development — writing the intent, constraints, and acceptance criteria before you let an agent build — is a strong plus MCP: you can say why an agent would prefer it to a REST integration. Having authored a server is a plus What you’ll do: Take the seat Sit with the client and the Forward Deployed Executive at the start of an engagement. Learn the function from inside, not from a requirements doc, and redesign the function from first principles. Reach working fluency in a new domain — insurance underwriting, healthcare revenue cycle, asset flow. Build Design and ship production GenAI systems into the customer’s environment (cloud-native data, LLM-based, and agentic AI solutions). Implement and optimize RAG systems for production use cases Build the evaluation harness before you build the feature. Define what working means, instrument it, and let the evals drive the design. Write production code across the stack — AI, backend services, data pipelines. We choose tools to fit the customer. Take systems to production on AWS (GCP or Azure where the customer requires it): containerised, CI/CD, automated testing, monitoring, and maintainable after we leave. Hand the system over to the client. Start from the blueprint, and feed the blueprint. What you learn in the field becomes the baseline the next engagement starts from. Lead architecture reviews, produce technical design documents, and contribute to standards. Mentor engineers and share knowledge across the team. Own the outcome. Work in a pair with a FDX who carries the Business Unit’s KPIs. Your work is measured against the same number. Own the technical direction of technical proposals and scoping. Drive adoption. Change management is part of the engineering job here. Be credible with the customer’s engineers and their executives. Shape what we commit to before we commit to it. Nice to Have: Prior experience as a founder, CTO, or engineering leader who has chosen to return to individual contribution Experience in one of the industries: financial services, insurance, healthcare Consulting, professional services, or other embedded customer-facing delivery A2A: you can explain agent-to-agent interoperability AWS and Claude Code Certifications CI/CD pipeline experience (GitHub Actions, GitLab CI) Experience in an additional language (Go, TypeScript, or Rust) Experience with Apache Spark, Apache Airflow, Kafkа What We Offer: The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from strategy through first deployment A forward-deployed model working in small, senior teams alongside Principal Architects and Forward Deployed Engineers A growing AI delivery practice where you help build the tooling and frameworks, not just use them Remote-friendly culture Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance Career growth; we actively develop our engineers Access to the latest AI tools and premium subscriptions Long-term B2B collaboration Private medical insurance or a budget for your medical needs Paid sick leave, vacation, and public holidays Equipment and all the tech you need for comfortable, productive work How we hire:   Intro conversation. The role, your background and aspirations, tech questions. Technical interview with live engineering sessions. Real problems, your own editor, you may use an LLM assistant  HR Interview. Soft skills and expectations HM interview. Tech questions; a live engineering session is also possible

Location: Paris; Toulouse; Lyon; Marseille; Nantes; Nice; Montpellier; Strasbourg; Bordeaux; Lille; Dijon Workplace: remote Ajax Systems est une entreprise technologique internationale et le plus grand fabricant de systèmes de sécurité en Europe, comptant plus de 4,5 millions d'utilisateurs finaux et 330 000 utilisateurs PRO dans plus de 180 pays à travers le monde. L'entreprise propose des solutions complètes pour la protection des habitations et des entreprises, quelle que soit leur envergure. À ce jour, le portefeuille de produits Ajax comprend 280 dispositifs dédiés à la protection contre les intrusions, à la vidéosurveillance, à la sécurité incendie et à la protection des personnes, ainsi qu'au confort et à l'automatisation. L'entreprise compte 5 000 collaborateurs. Nous constituons des équipes locales, convaincus que les experts du terrain sont les mieux placés pour appréhender les spécificités de chaque marché. L'entreprise est représentée commercialement dans le monde entier, notamment en Italie, en Espagne, en Allemagne, en France, au Royaume-Uni, aux États-Unis, en Australie, en Afrique du Sud et dans de nombreuses autres régions. L'équipe mondiale de Développement Commercial rassemble des collaborateurs partageant les mêmes valeurs et les ambitions d'Ajax Systems. L'alliance du meilleur logiciel et d'un matériel haute performance a définitivement transformé la perception des systèmes de sécurité, tant pour les utilisateurs que pour les professionnels du secteur. Présente dans les plus grands salons spécialisés — IFSEC, Expoprotection, Intersec — et récompensée par des prix prestigieux décernés par des médias de référence tels que PSI Magazine et GIT SECURITY, Ajax figure aujourd'hui parmi les systèmes de sécurité les plus primés d'Europe. La production d'Ajax Systems repose sur quatre usines : deux implantées en Ukraine, une en Turquie et une au Vietnam. La certification ISO 14001 de l'entreprise garantit un impact environnemental maîtrisé tout au long du processus de fabrication. Le choix des composants entrant dans la conception des dispositifs Ajax est conditionné par la fourniture de déclarations de fabricants attestant de leur conformité aux exigences RoHS. L'entreprise est née dans un contexte de révolution et de guerre. La résilience est donc au cœur de l'ADN de la marque, et la lutte contre le mal — par la création des meilleurs dispositifs de sécurité et d'automatisation — constitue la mission indéfectible d'Ajax. Ajax Systems est une success-story ukrainienne, portée par une force et une énergie hors du commun. Compétences & Qualifications: Plus de 5 ans d'expérience dans la sécurité incendie et la protection des personnes, ou dans un secteur similaire Solides connaissances techniques des systèmes de détection et de protection incendie Expérience avérée dans la maîtrise de l'ensemble du cycle de vente : identification de nouvelles opportunités commerciales, élaboration de propositions et de présentations, négociation et closing Capacité à concevoir et à mettre en œuvre des stratégies commerciales performantes Excellentes aptitudes relationnelles et communicationnelles, permettant de nouer des relations durables avec les clients, les partenaires et les experts du secteur au niveau décisionnel Solides compétences analytiques pour interpréter les tendances du marché, cerner les besoins des clients et proposer des solutions adaptées Capacité à gérer et à prioriser plusieurs projets et missions en simultané Bonne connaissance des dernières technologies et tendances en matière de sécurité électronique, notamment les solutions cloud et l'IoT Profil alliant expertise technique, maîtrise des techniques de vente et excellentes compétences en communication Responsabilités: Identifier et développer de nouvelles opportunités commerciales en adéquation avec la stratégie de croissance de l'entreprise Développer et entretenir des relations solides avec les clients clés, les partenaires et les parties prenantes Mener une veille marché active afin d'identifier les nouvelles tendances, opportunités et risques potentiels Analyser les données du marché pour élaborer et mettre en œuvre des stratégies commerciales efficaces Collaborer avec les équipes transverses pour garantir la livraison optimale des produits et services Préparer et animer des présentations auprès de clients et partenaires potentiels Négocier les contrats et accords avec les clients et les partenaires Gérer et prioriser plusieurs projets et initiatives de manière simultanée Nous offrons: Un produit qui se vend de lui-même La liberté de prendre des décisions et de concrétiser vos idées Une culture transparente et sans fioritures Une équipe solide, soudée et hautement professionnelle Des missions ambitieuses et des défis stimulants L'opportunité de travailler avec le système de sécurité le plus reconnu du marché et d'évoluer dans votre carrière Nous œuvrons chaque jour pour que les gens vivent en toute sérénité et que le monde soit plus sûr. Rejoignez l'équipe qui conçoit en Ukraine un produit mondial intelligent et porteur de sens.

Location: Baku, Azerbaijan Workplace: fully About Global University Systems (GUS) Global University Systems is an international education group that empowers students to transform their lives through education. We believe education drives careers, lives, and society forward, enabling a brighter future for all. Our network of 30 institutions offers the broadest range of industry-relevant skills through inclusive, accessible, and digital-first learning. We currently educate around 122,000 students on campuses worldwide and have 20M+ unique subscribers to our courses. Our global ecosystem powers accessible digital learning and academic achievement. Position The Business Development Manager for International Student Recruitment will oversee all student recruitment activities, business development activities, account management, and marketing events for B2B channels across the country or region you will manage. You will collaborate with Company Directors to develop B2B channels and implement marketing and sales strategies to promote international student recruitment for GUS. You will be representing one of our universities or colleges located in either Europe, North America, or Asia. Requirements Essential Criteria • You will have experience in international student recruitment for higher education. • You have an established and relevant agency network and solid relationships with key stakeholders within these agencies. • A solid understanding of industry trends is essential to inform the group’s strategic planning and forecasting. • You will have developed and trained education agents on how to promote the brand you represent. • You will have experience sourcing agents from fairs, business trips, enquiries, referrals, and general searches in line with business development responsibilities. • You will have experience generating new revenue from existing streams and accounts, as well as identifying new opportunities. • You will have a proven track record of assisting in identifying, supporting, and developing potential business partners and growing existing client relationships. • You will have experience performing client research, including (but not limited to) meeting and engaging with key players in the industry. • You will be a highly motivated individual who strives for success in all areas. • You are confident in delivering workshops and presentations, hosting conferences, and being in front of the camera. Desirable Criteria • Salesforce or database management experience. • We will consider applicants who have represented an institution directly (located anywhere within your region) or who have significant agency experience where they have managed a sub-network of agents. Location The position is home-based with travel. Ideally, you will be located within your country and able to travel with ease, as your main marketing activities will be held in this area (where agents are based). Other Information Please note this position is only available on our consultancy agreement. The post holder may be asked to undertake different or additional duties in line with business requirements at the request of their line manager. There is an expectation that all employees will maintain the values of the Group and comply with the Code of Conduct, as well as equality and diversity, health and safety, and safeguarding policies.

Location: Baku, Azerbaijan Workplace: fully About Global University Systems (GUS) Global University Systems is an international education group that empowers students to transform their lives through education. We believe education drives careers, lives, and society forward, enabling a brighter future for all. Our network of 30 institutions offers the broadest range of industry-relevant skills through inclusive, accessible, and digital-first learning. We currently educate around 122,000 students on campuses worldwide and have 20M+ unique subscribers to our courses. Our global ecosystem powers accessible digital learning and academic achievement. Position The Business Development Manager for International Student Recruitment will oversee all student recruitment activities, business development activities, account management, and marketing events for B2B channels across the country or region you will manage. You will collaborate with Company Directors to develop B2B channels and implement marketing and sales strategies to promote international student recruitment for GUS. You will be representing one of our universities or colleges located in either Europe, North America, or Asia. Requirements Essential Criteria • You will have experience in international student recruitment for higher education. • You have an established and relevant agency network and solid relationships with key stakeholders within these agencies. • A solid understanding of industry trends is essential to inform the group’s strategic planning and forecasting. • You will have developed and trained education agents on how to promote the brand you represent. • You will have experience sourcing agents from fairs, business trips, enquiries, referrals, and general searches in line with business development responsibilities. • You will have experience generating new revenue from existing streams and accounts, as well as identifying new opportunities. • You will have a proven track record of assisting in identifying, supporting, and developing potential business partners and growing existing client relationships. • You will have experience performing client research, including (but not limited to) meeting and engaging with key players in the industry. • You will be a highly motivated individual who strives for success in all areas. • You are confident in delivering workshops and presentations, hosting conferences, and being in front of the camera. Desirable Criteria • Salesforce or database management experience. • We will consider applicants who have represented an institution directly (located anywhere within your region) or who have significant agency experience where they have managed a sub-network of agents. Location The position is home-based with travel. Ideally, you will be located within your country and able to travel with ease, as your main marketing activities will be held in this area (where agents are based). Other Information Please note this position is only available on our consultancy agreement. The post holder may be asked to undertake different or additional duties in line with business requirements at the request of their line manager. There is an expectation that all employees will maintain the values of the Group and comply with the Code of Conduct, as well as equality and diversity, health and safety, and safeguarding policies.

Location: Dubai, United Arab Emirates We are looking for a Mechanical Engineer with a strong background in engineering consultancy to support the design, coordination, and delivery of mechanical systems across construction projects. The ideal candidate will bring experience from a consulting environment, with a focus on design review, technical advisory, and coordination with multiple stakeholders. Responsibilities: Develop and review mechanical system designs (HVAC, plumbing, fire protection) in line with project requirements and international standards. Perform engineering calculations and validate design assumptions to ensure system efficiency and compliance. Review drawings, specifications, and technical submittals from contractors and consultants. Coordinate with multidisciplinary teams (architectural, structural, electrical) to ensure proper system integration. Provide technical input during design stages, value engineering, and design optimization. Support project teams during construction by addressing RFIs and resolving technical issues. Liaise with external consultants, contractors, and suppliers to ensure alignment with project scope and quality standards. Ensure compliance with UAE regulations, codes, and international standards (ASHRAE, SMACNA, etc.). Requirements Bachelor’s degree in Mechanical Engineering or related field. 3–6 years of experience in mechanical engineering within a consultancy environment (engineering/design firms). Strong experience in design and review of MEP systems (HVAC, plumbing, fire protection). Proficiency in AutoCAD and Revit (MEP); knowledge of HAP or similar tools is a plus. Solid understanding of international standards (ASHRAE, NFPA, etc.) and UAE regulations. Experience in design coordination and working with multiple stakeholders. Strong analytical and problem-solving skills. Good communication skills, ability to present and justify technical decisions. Benefits Competitive salary. Official UAE employment status. Comprehensive medical insurance coverage.

Location: Espoo Workplace: Hybrid - Title: RF Engineer, Radar Payload Team - Location: Espoo, Finland - Department: Spacecraft Hardware - Reports to: Radar Payload Team Leadd - Employment type: Permanent - Workplace model: Hybrid / Office - Employment is subject to applicable security screening (incl. SUPO)   WHY THIS ROLE MATTERS: As an RF Engineer, you’ll support the performance, reliability, and continuous improvement of ICEYE’s radar payloads by maintaining and evolving RF hardware that enables high-quality Earth observation from space. WHO WE ARE ICEYE delivers space-based intelligence, surveillance, and reconnaissance (ISR) capabilities to governments and allied nations. This includes sovereign and turnkey ISR missions leveraging ICEYE’s world-leading synthetic aperture radar (SAR) satellite technology, as well as access to data from the world’s largest SAR satellite constellation. These capabilities enable partners to detect and respond to critical changes anywhere on Earth with unprecedented speed and accuracy, day or night and in any weather, supported by ultra high-resolution imagery and high-frequency revisits. As a trusted partner for defense, intelligence, security, and maritime domain awareness, ICEYE’s near real-time data creates a tactical advantage for mission-critical operations. Designed for dual use, the platform also serves civil protection and commercial users for natural-catastrophe intelligence, insurance, maritime monitoring including oil-spill detection, and finance, contributing to global security and community resilience. ICEYE is headquartered in Finland and operates globally across Europe, North America, the Middle East, and Asia-Pacific. We have more than 900 employees, united by a shared vision: improving life on Earth by becoming the global source of truth in Earth Observation. YOUR DAY-TO-DAY RESPONSIBILITIES - Support maintenance, updates, and continuous improvement of existing RF hardware systems - Assist in the design, simulation, and validation of RF circuits for X-band and above - Perform hands-on lab work including testing, debugging, root-cause analysis, and tuning using RF test equipment - Run EM and circuit simulations and correlate results with measurements - Create, review, and update schematics and PCB layouts with RF-critical design considerations - Support verification activities including test plans, procedures, and validation of prototypes - Maintain and produce technical documentation for hardware updates and processes - Collaborate closely with senior engineers and cross-functional teams across the payload development lifecycle   WHAT WE’RE LOOKING FOR MUST HAVES: - 4+ years of experience in RF engineering with a focus on practical product development - Hands-on experience performing RF measurements and troubleshooting in lab environments - Experience with RF test equipment such as VNA, spectrum analyzers, and signal generators - Experience with PCB design tools such as Altium and understanding of RF layout best practices - Familiarity with RF simulation tools such as ADS and 3D EM tools such as HFSS or CST - Solid understanding of RF fundamentals including linearity, noise figure, phase noise, and filtering - Ability to collaborate effectively within cross-functional engineering teams   NICE TO HAVES: - Experience with Python for analysis or automation - Experience with radar payloads, spaceborne RF systems, or aerospace hardware - Experience with high-power RF or low-noise receiver design - Familiarity with qualification standards such as ECSS or MIL and environmental testing   APPLICATION PROCESS - Recruiter screening - Hiring manager interview - Technical task - Technical panel interview - Final interview   WORKING AT ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. HOW WE WORK (OUR VALUES) Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the why behind decisions. - See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters and it should be enjoyable. Celebrate progress, take pride in results, and share the wins.   BENEFITS Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process. OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us and we will do our best to help. Apply now to start your ICEYE journey and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.

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 You will be responsible for product planning and solution design for an enterprise-grade AI Native engineering platform, driving the deep integration of AI Agents, AI Coding, knowledge capabilities, and engineering platform systems. The goal is to build an intelligent product system covering requirement analysis, solution design, development collaboration, testing validation, environment orchestration, and knowledge accumulation.This role serves complex engineering processes and multi-role collaboration scenarios. You are expected to design AI product capabilities that can be embedded into workflows, measured for impact, and continuously evolved in real enterprise environments, enabling the product to scale from pilot adoption to broad organizational rollout. What You’ll Be Doing Lead the product planning, requirement analysis, and solution design of the AI Native engineering platform, and drive continuous product evolution and adoption. Develop a deep understanding of the end-to-end engineering lifecycle, and translate the core scenarios and collaboration patterns of product, design, engineering, QA, and operations teams into structured product solutions. Design AI Agent capabilities for engineering scenarios , including requirement analysis, solution generation, coding collaboration, test generation, environment orchestration, and knowledge accumulation. Drive the integration of AI capabilities with code repositories, CI/CD pipelines, testing platforms, deployment environments, and knowledge platforms to deliver a unified end-to-end product experience. Establish mechanisms for product effectiveness evaluation, user feedback, and continuous optimization , and support the product’s scale-up from pilot validation to broad adoption. What We Look For In You Bachelor’s degree or above , preferably in Computer Science, Software Engineering, Artificial Intelligence, or related fields. 6+ years of experience in ToB products, platform products, or intelligent product solutions. Must have an engineering background , such as software development, test development, architecture, or technical product roles, with the ability to work effectively with engineering teams. Strong understanding of DevOps , engineering productivity, software delivery processes, and quality systems , with the ability to abstract and productize complex workflows. Solid understanding of AI Agent product design , with the ability to design for task execution, workflow orchestration, result validation, and delivery closure. Familiarity with mainstream AI coding products, with strong hands-on experience or product understanding of Claude Code , Codex, Cursor , and Copilot , as well as context engineering, knowledge input, tool integration, human-in-the-loop collaboration, and governance considerations. Strong structured thinking, cross-functional collaboration, and execution skills; experience with engineering platforms, DevOps platforms, platform products, or intelligent products is a plus. Nice to Haves Experience with products related to AI Agents, RAG, knowledge graphs, Copilot, or intelligent workflows . Experience building engineering platforms, DevOps platforms, or platform products from 0 to 1 or from 1 to N. Hybrid background of engineering-to-product transition , or contributions to open source, communities, or public thought leadership in AI or engineering productivity. 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! 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: 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 You will be responsible for the core architecture design and technical delivery of an enterprise-grade AI Native engineering platform, driving the deep integration of large language models, AI Agents, knowledge capabilities, and the software development lifecycle. The platform will support intelligent capabilities across requirement analysis, solution generation, coding collaboration, test automation, and environment orchestration.This role focuses on engineering-grade AI implementation in complex R&D scenarios. You are expected to turn model capabilities into reusable, scalable, and governable platform capabilities, and continuously drive the evolution of the engineering platform toward an AI Native architecture. What You’ll Be Doing Lead the overall architecture design and core capability development of the AI Agent platform, including task orchestration, tool invocation, context management, memory mechanisms, and multi-agent collaboration. Drive the implementation of AI Native capabilities in engineering workflows , including AI coding, technical solution generation, test case generation, test report generation, and automated environment deployment. Build the knowledge augmentation layer for the platform, including the design, integration, and application of RAG, GraphRAG, and knowledge graph capabilities. Establish the runtime and governance framework for AI Agents, including execution isolation, permission control, auditability, evaluation, stability, and cost governance. Collaborate with product, engineering, QA, and operations teams to standardize, productionize, and scale platform capabilities, continuously improving engineering efficiency and delivery quality. What We Look For In You Bachelor’s degree or above , preferably in Computer Science, Software Engineering, Artificial Intelligence, or related fields. 6+ years of experience in backend engineering, platform engineering, or infrastructure engineering, with strong system design and delivery capabilities. Proficient in Java / Python , with solid coding skills, architectural thinking, and experience building complex systems. Strong understanding of LLM and AI Agent architectures , including task decomposition, tool use, context management, memory, execution loops, and exception handling. Hands-on experience with LangChain and LangGraph , and strong familiarity with mainstream AI coding tools or frameworks such as Claude Code , Codex, Cursor , and Copilot . Experience in designing or developing RAG / GraphRAG / knowledge graph solutions for enterprise knowledge augmentation and engineering use cases. Good understanding of DevOps , CI/CD , Kubernetes , and cloud-native technologies , with strong cross-functional collaboration and execution skills. Nice to Haves Experience contributing to open-source projects related to AI Agents, AI Coding, RAG, or knowledge graphs. Experience building enterprise engineering platforms, DevOps platforms, or AI platforms . Familiarity with open-source Agent projects such as openclaw, openhands/openharness, or Hermes . 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! 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: San Francisco; Palo Alto Workplace: Hybrid Perplexity serves tens of millions of users daily with reliable, high-quality answers grounded in an LLM-first search engine and specialized data sources. The Answer Quality team ensures that our prompts, tools, search systems, datasets, and models work together to create the best possible experience for our users. As our product and agent capabilities evolve, we need evaluation systems that are fast, reliable, production-faithful, and actionable. In this role, you will build and improve the technical foundations that support Answer Quality across Perplexity. This includes our shared evaluation infrastructure and the platform used to replay and analyze agent traces. You will work closely with data scientists, engineers, and product teams to identify quality problems, measure their impact, and turn evaluation findings into product improvements. RESPONSIBILITIES - Build shared evaluation infrastructure that helps teams run reliable evals, analyze results, and make product and model decisions - Develop the platform for replaying and analyzing agent traces to reproduce production behavior and diagnose failures - Build and operate scalable systems for processing, storing, and monitoring interaction, trace, and evaluation data - Partner with data scientists, engineers, and product teams to turn answer-quality problems into evaluations, analyses, and product improvements - Operate in a small, high-impact team where your work directly shapes how Perplexity measures and improves Answer Quality QUALIFICATIONS - 4+ years of software, data, or machine learning engineering experience shipping and operating production systems - Strong proficiency in Python and SQL, with solid fundamentals in system design, data modeling, and distributed systems - Experience building big-data systems, including distributed compute, large-scale storage, and high-volume pipelines - Demonstrated ownership of ambiguous technical projects from initial design through production operation - Ability to work effectively with data scientists, engineers, and product partners PREFERRED QUALIFICATIONS - Experience building evaluation, experimentation, observability, or machine learning infrastructure - Familiarity with LLM and agent systems, including tool use, execution traces, replay, and simulation - Experience building on top of large-scale data processing platforms such as Databricks, Snowflake, or ClickHouse

Location: San Francisco; Palo Alto Workplace: Hybrid Perplexity serves tens of millions of users daily with reliable, high-quality answers grounded in an LLM-first search engine and specialized data sources. The Answer Quality team ensures that our prompts, tools, search systems, datasets, and models work together to create the best possible experience for our users. As our product and agent capabilities evolve, we need evaluation systems that are fast, reliable, production-faithful, and actionable. In this role, you will build and improve the technical foundations that support Answer Quality across Perplexity. This includes our shared evaluation infrastructure and the platform used to replay and analyze agent traces. You will work closely with data scientists, engineers, and product teams to identify quality problems, measure their impact, and turn evaluation findings into product improvements. RESPONSIBILITIES - Build shared evaluation infrastructure that helps teams run reliable evals, analyze results, and make product and model decisions - Develop the platform for replaying and analyzing agent traces to reproduce production behavior and diagnose failures - Build and operate scalable systems for processing, storing, and monitoring interaction, trace, and evaluation data - Partner with data scientists, engineers, and product teams to turn answer-quality problems into evaluations, analyses, and product improvements - Operate in a small, high-impact team where your work directly shapes how Perplexity measures and improves Answer Quality QUALIFICATIONS - 4+ years of software, data, or machine learning engineering experience shipping and operating production systems - Strong proficiency in Python and SQL, with solid fundamentals in system design, data modeling, and distributed systems - Experience building big-data systems, including distributed compute, large-scale storage, and high-volume pipelines - Demonstrated ownership of ambiguous technical projects from initial design through production operation - Ability to work effectively with data scientists, engineers, and product partners PREFERRED QUALIFICATIONS - Experience building evaluation, experimentation, observability, or machine learning infrastructure - Familiarity with LLM and agent systems, including tool use, execution traces, replay, and simulation - Experience building on top of large-scale data processing platforms such as Databricks, Snowflake, or ClickHouse

Location: London Workplace: Hybrid We are looking for an AI Infra engineer to join our growing team. We work with Kubernetes, Slurm, Python, C++, PyTorch, and primarily on AWS. As an AI Infrastructure Engineer, you will be partnering closely with our Inference and Research teams to build, deploy, and optimize our large-scale AI training and inference clusters. RESPONSIBILITIES - Design, deploy, and maintain scalable Kubernetes clusters for AI model inference and training workloads - Manage and optimize Slurm-based HPC environments for distributed training of large language models - Develop robust APIs and orchestration systems for both training pipelines and inference services - Implement resource scheduling and job management systems across heterogeneous compute environments - Benchmark system performance, diagnose bottlenecks, and implement improvements across both training and inference infrastructure - Build monitoring, alerting, and observability solutions tailored to ML workloads running on Kubernetes and Slurm - Respond swiftly to system outages and collaborate across teams to maintain high uptime for critical training runs and inference services - Optimize cluster utilization and implement autoscaling strategies for dynamic workload demands QUALIFICATIONS - Strong expertise in Kubernetes administration, including custom resource definitions, operators, and cluster management - Hands-on experience with Slurm workload management, including job scheduling, resource allocation, and cluster optimization - Experience with deploying and managing distributed training systems at scale - Deep understanding of container orchestration and distributed systems architecture - High level familiarity with LLM architecture and training processes (Multi-Head Attention, Multi/Grouped-Query, distributed training strategies) - Experience managing GPU clusters and optimizing compute resource utilization REQUIRED SKILLS - Expert-level Kubernetes administration and YAML configuration management - Proficiency with Slurm job scheduling, resource management, and cluster configuration - Python and C++ programming with focus on systems and infrastructure automation - Hands-on experience with ML frameworks such as PyTorch in distributed training contexts - Strong understanding of networking, storage, and compute resource management for ML workloads - Experience developing APIs and managing distributed systems for both batch and real-time workloads - Solid debugging and monitoring skills with expertise in observability tools for containerized environments PREFERRED SKILLS - Experience with Kubernetes operators and custom controllers for ML workloads - Advanced Slurm administration including multi-cluster federation and advanced scheduling policies - Familiarity with GPU cluster management and CUDA optimization - Experience with other ML frameworks like TensorFlow or distributed training libraries - Background in HPC environments, parallel computing, and high-performance networking - Knowledge of infrastructure as code (Terraform, Ansible) and GitOps practices - Experience with container registries, image optimization, and multi-stage builds for ML workloads REQUIRED EXPERIENCE - Demonstrated experience managing large-scale Kubernetes deployments in production environments - Proven track record with Slurm cluster administration and HPC workload management - Previous roles in SRE, DevOps, or Platform Engineering with focus on ML infrastructure - Experience supporting both long-running training jobs and high-availability inference services - Ideally, 3-5 years of relevant experience in ML systems deployment with specific focus on cluster orchestration and resource management

Location: London Workplace: Hybrid We are looking for an AI Infra engineer to join our growing team. We work with Kubernetes, Slurm, Python, C++, PyTorch, and primarily on AWS. As an AI Infrastructure Engineer, you will be partnering closely with our Inference and Research teams to build, deploy, and optimize our large-scale AI training and inference clusters. RESPONSIBILITIES - Design, deploy, and maintain scalable Kubernetes clusters for AI model inference and training workloads - Manage and optimize Slurm-based HPC environments for distributed training of large language models - Develop robust APIs and orchestration systems for both training pipelines and inference services - Implement resource scheduling and job management systems across heterogeneous compute environments - Benchmark system performance, diagnose bottlenecks, and implement improvements across both training and inference infrastructure - Build monitoring, alerting, and observability solutions tailored to ML workloads running on Kubernetes and Slurm - Respond swiftly to system outages and collaborate across teams to maintain high uptime for critical training runs and inference services - Optimize cluster utilization and implement autoscaling strategies for dynamic workload demands QUALIFICATIONS - Strong expertise in Kubernetes administration, including custom resource definitions, operators, and cluster management - Hands-on experience with Slurm workload management, including job scheduling, resource allocation, and cluster optimization - Experience with deploying and managing distributed training systems at scale - Deep understanding of container orchestration and distributed systems architecture - High level familiarity with LLM architecture and training processes (Multi-Head Attention, Multi/Grouped-Query, distributed training strategies) - Experience managing GPU clusters and optimizing compute resource utilization REQUIRED SKILLS - Expert-level Kubernetes administration and YAML configuration management - Proficiency with Slurm job scheduling, resource management, and cluster configuration - Python and C++ programming with focus on systems and infrastructure automation - Hands-on experience with ML frameworks such as PyTorch in distributed training contexts - Strong understanding of networking, storage, and compute resource management for ML workloads - Experience developing APIs and managing distributed systems for both batch and real-time workloads - Solid debugging and monitoring skills with expertise in observability tools for containerized environments PREFERRED SKILLS - Experience with Kubernetes operators and custom controllers for ML workloads - Advanced Slurm administration including multi-cluster federation and advanced scheduling policies - Familiarity with GPU cluster management and CUDA optimization - Experience with other ML frameworks like TensorFlow or distributed training libraries - Background in HPC environments, parallel computing, and high-performance networking - Knowledge of infrastructure as code (Terraform, Ansible) and GitOps practices - Experience with container registries, image optimization, and multi-stage builds for ML workloads REQUIRED EXPERIENCE - Demonstrated experience managing large-scale Kubernetes deployments in production environments - Proven track record with Slurm cluster administration and HPC workload management - Previous roles in SRE, DevOps, or Platform Engineering with focus on ML infrastructure - Experience supporting both long-running training jobs and high-availability inference services - Ideally, 3-5 years of relevant experience in ML systems deployment with specific focus on cluster orchestration and resource management

Location: Warsaw Workplace: Hybrid Role highlights: • Senior C++ Engineer – Satellite Real-Time Control Systems • Location: Warsaw, Poland • Department: Engineering • Reports to: Engineering Lead, AOCS Software • Employment type: Permanent • Workplace model: Hybrid • Employment is subject to applicable security screening (incl. SUPO, where required) Why this role matters: As a Senior C++ Engineer – Satellite Real-Time Control Systems, you’ll develop and operate real-time embedded software that powers ICEYE’s growing SAR satellite constellation. Every radar image, collision-avoidance manoeuvre, and customer mission relies on deterministic, high-performance software deployed continuously to satellites operating in unforgiving orbital dynamics. Your work will directly enable first responders to map floods, insurers to assess damage, and scientists to measure a changing planet. In this role, microseconds matter and every line of code has a direct, global impact from space. Who We Are ICEYE delivers space-based intelligence, surveillance, and reconnaissance (ISR) capabilities to governments and allied nations. This includes sovereign and turnkey ISR missions leveraging ICEYE’s world-leading synthetic aperture radar (SAR) satellite technology, as well as access to data from the world’s largest SAR satellite constellation. These capabilities enable partners to detect and respond to critical changes anywhere on Earth with unprecedented speed and accuracy, day or night and in any weather, supported by ultra high-resolution imagery and high-frequency revisits. As a trusted partner for defense, intelligence, security, and maritime domain awareness, ICEYE’s near real-time data creates a tactical advantage for mission-critical operations. Designed for dual use, the platform also serves civil protection and commercial users for natural-catastrophe intelligence, insurance, maritime monitoring including oil-spill detection, and finance, contributing to global security and community resilience. ICEYE is headquartered in Finland and operates globally across Europe, North America, the Middle East, and Asia-Pacific. We have more than 900 employees, united by a shared vision: improving life on Earth by becoming the global source of truth in Earth Observation. Your day-to-day responsibilities • Write and optimize modern C++ code that meets strict determinism and latency budgets for safe and precise on-orbit execution • Build and own the software layer that bridges sensors, actuators, and control algorithms including deterministic loops, telemetry pipelines, and on-orbit autonomy • Drive quality across the full development lifecycle from requirements and design to HIL and MIL testing, launch, and on-orbit support • Collaborate with GNC, electronics, ground segment, and mission operations engineers to debug, iterate, and improve system performance • Lead architecture evolution as the fleet and use cases grow by refactoring, optimizing, and introducing new technologies where they add value • Investigate anomalies by deep-diving into flight telemetry, reproducing issues on the ground, and rolling out fixes that keep the constellation healthy What we’re looking for Must haves: • Strong experience writing modern C++ with a clear understanding of production-quality code • Proven track record of delivering real-time control software for autonomous or safety-critical systems such as satellites, drones, robotics, or automotive systems • Solid understanding of hard real-time constraints, latency budgeting, and deterministic behaviour • Experience interfacing with sensors and actuators in embedded Linux environments • Strong engineering practices including rigorous testing, CI/CD, and clear documentation • Ownership mindset across the full software lifecycle from concept to on-orbit maintenance • Clear communicator who collaborates effectively across multidisciplinary teams Nice to haves: • Experience with hardware-in-the-loop and model-in-the-loop testing • Experience supporting software in operational or mission-critical environments • Familiarity with satellite GNC or space systems Application Process • Talent Attraction screening • Hiring Manager interview • Task and Technical interview • On-site technical workshop • On-site behavioural interview Working at ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. How We Work (Our Values) Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. • Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the why behind decisions. • See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. • Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. • Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. • Have fun: What we do matters and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. Benefits Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process. Our Commitment to Diversity, Equity, and Inclusion We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us and we will do our best to help. Apply now to start your ICEYE journey and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.

Location: Sliema, Malta Workplace: none David Kennedy Recruitment is working with a leading B2B solution provider who are looking to recruit a Country Manager for the Nordic region for their offices in Malta, to drive market expansion, build strategic client relationships, and accelerate revenue growth. You will play a key role in identifying new business opportunities, managing the full sales cycle, and positioning our solutions effectively in the market. This is an exciting opportunity to make a direct impact in a fast-paced, international environment. Position: Country Manager Location: Sliema, Malta Employment type: Full-time DUTIES AND RESPONSIBILITIES: Identify and develop new business opportunities through research, networking, and strategic outreach, managing prospects through the full sales cycle Build and maintain a strong, active sales pipeline through consistent and targeted activity Understand customer needs and deliver consultative, solution-driven sales approaches Develop deep relationships with clients to ensure long-term partnerships and tailored solutions Act as a product expert, confidently presenting current and upcoming offerings Collaborate with internal teams to convert leads into successful client engagements Create and maintain high-quality sales materials, including presentations and supporting resources Develop commercially viable proposals aligned with both business and client objectives Track and report on sales pipeline progress and customer journey stages Represent the company at trade shows, industry events, and conferences Deliver product demonstrations both remotely and in person Partner with Product and Marketing teams to drive initiatives that support new business acquisition. REQUIREMENTS: Fluent in Swedish or Danish , along with strong English communication skills, in both written and spoken communication Strong network of C-level contacts within the gaming or gambling sector Proven experience within Nordic iGaming markets, either in B2B sales/account management or a commercial B2C role In-depth knowledge of casino, slots, and live casino products Demonstrated experience in developing and executing regional or global sales strategies Solid understanding of marketing principles Ability to thrive in a fast-paced, complex, and evolving environment Strong organisational skills with the ability to manage multiple priorities and meet tight deadlines Self-driven with the ability to work independently and collaboratively Highly motivated with the ability to influence and inspire others Hands-on, proactive approach with a strong sense of ownership Commercially focused with a data-driven mindset Strong interpersonal and negotiation skills with the ability to build lasting relationships. BENEFITS: Comprehensive onboarding and training aligned with high industry standards Supportive, collaborative, and inclusive company culture Excellent career progression opportunities within a fast-growing international organisation Access to continuous learning and development through a dedicated learning platform.

Location: Japan; Remote; Singapore About the role We are seeking a hands-on Security Engineer who thrives in a startup environment. You'll work alongside product owners and engineers with the objective to secure the products in Startale's ecosystem. Products include a next-generation decentralized exchange with a fully on-chain order book (Strium), a user-facing application (StartaleApp) and a stablecoin (USDSC). This is a hands-on, technical role . You'll be the person who actively tests our systems, hunts for vulnerabilities, models threats against our products, and works with engineers to close the gaps — not the person who writes policies and generates reports. You'll report to the Security Lead and collaborate daily with Backend, Frontend, DevOps, and Blockchain engineering teams. Why this role Startale's products handle user funds and on-chain transactions so security work has tangible impact. Owning the security posture of a project at scale and complexity such as Strium is an opportunity for professional growth. You will have direct influence over how product security is built across the organization. Focus is on driving product security and not on maintaining compliance documentation. Our team is backed by and partnering with leading Japanese enterprises so you will have a chance to work in a stable and well-funded company but with the autonomy and speed of a small team. Key responsibilities Security Assessments & Penetration Testing : Conduct hands-on security testing of our applications, APIs, and infrastructure. Simulate real attack scenarios against our products. Find the vulnerabilities before external attackers or whitehat researchers do. Work with engineers to fix issues pragmatically. Threat Modeling : Build threat models for new services and features — especially Strium's trading engine, order book, and transaction flows. Identify attack surfaces, model adversary behavior, and define what needs to be hardened before launch. Vulnerability Triage & Remediation : Own the end-to-end lifecycle of findings — from discovery through severity assessment, developer-facing write-ups, remediation guidance, and verification of fixes. Coordinate with engineers so issues actually get closed. Vulnerability Disclosure & Bug Bounty : Manage incoming whitehat reports, validate findings by reproducing them, assess severity, communicate with researchers. AI Tools Security Support : Assess technical risks related to AI tools used within teams (such as data exfiltration, prompt injection, training-on-input), maintain security baselines for AI coding tools and review AI-powered internal tools. Qualifications Must-have 5+ years of hands-on experience with a focus on application security, penetration testing, or product security. Demonstrated ability to find vulnerabilities — through manual testing, architecture and/or code review, or creative attack simulation. You should be able to describe specific bugs you've found and how you found them. Practical experience with exchange or trading platform security — from a DEX (preferred) or DeFi protocol. You should understand order book mechanics, transaction flows, wallet security, and the threat landscape specific to trading infrastructure. Scripting and automation ability — you write tools and automate to scale security across the stack, not just audit and write reports. Experience triaging vulnerabilities and writing clear, actionable remediation guidance for developers. Strong written communication in English — you'll write tickets, assessment reports and researcher responses. Strong plus Experience with cloud infrastructure security — least-privilege enforcement, network security, secrets management. Experience with container security — network policies, RBAC, pod security standards, image scanning, Dockerfile hardening, base image management. Ability to read and review code in at least one of: TypeScript/JavaScript, Solidity, Rust. Understanding of software supply chain security, including dependency risks, build integrity, and methods for tracking what components are included in shipped software. Experience managing or participating in a bug bounty program (e.g. Immunefi, HackerOne). Domain plus Experience securing AI/LLM tooling in engineering teams — prompt injection risks, data leakage prevention, tool configuration hardening Japanese language ability (not required, but useful for company context) Location / Timezone Strong preference for Tokyo-based or Singapore-based candidates - Startale office locations. Remote-friendly for exceptional candidates — must have 3+ hours overlap with Tokyo business hours (JST, UTC+9). Target start date As soon as available; realistic target start of Q3 2026. Target companies Decentralized exchanges, DeFi protocols, blockchain security firms, L1/L2 chain security teams, or fintech companies with trading infrastructure. We're also open to strong AppSec engineers from cloud-native startups who have genuine interest in web3. Ideal candidate You're a hands-on security engineer who finds real vulnerabilities, not just runs scanners. You've secured a trading platform or exchange and understand the threats specific to financial infrastructure — order book manipulation, transaction signing, wallet compromise, front-running. You can take a system, map the attack surface, and come back with findings that matter. You write clear reports that engineers act on, and you know the difference between a theoretical risk and a real one. You're comfortable working independently in a fast-moving team where there's no playbook — you write the playbook.

Location: USA (Remote); Slovakia (Remote); Spain (Remote); Czechia (Remote); Switzerland (Remote); Estonia (Remote); Mexico (Remote); Israel (Remote); Bulgaria (Remote); Austria (Remote); Iceland (Remote); Croatia (Remote); Hungary (Remote); Ireland (Remote); Canada (Remote); South Africa (Remote); Brazil (Remote); Finland (Remote); UK (Remote); Cyprus (Remote); Malta (Remote); Latvia (Remote); Argentina (Remote); Poland (Remote); Uruguay (Remote) Workplace: Remote WHO WE ARE Hi, we're DuckDuckGo, the online protection company and remote-first team of 400+ on a mission to raise the standard of trust online. Founded in 2008 and profitable since 2014, our annual revenue is in the hundreds of millions USD and millions use our browser on Mac https://spreadprivacy.com/introducing-duckduckgo-for-mac/, Windows https://spreadprivacy.com/windows-browser-open-beta/, iOS https://spreadprivacy.com/duckduckgo-privacy-browser-ios14/, and Android https://spreadprivacy.com/introducing-app-tracking-protection/, our search engine https://duckduckgo.com/, and the DuckDuckGo subscription https://duckduckgo.com/pro. We also offer private, useful, and optional AI, including Duck.ai https://duck.ai/, which lets you chat privately with ChatGPT, Claude, and other AIs, all in one place.   Our culture https://duckduckgo.com/how-we-work of trust, inclusivity, and empowered project management underpins everything we do, where each team member takes full ownership of their projects, from scoping and execution to postmortem. If you're seeking end-to-end ownership of your work, you've come to the right place! YOUR TEAM AND ROLE Working on the Backend Functional Team, you'll lead complex projects across key company-wide objectives. Using Perl (Version 5), Go, and Node.js, you’ll write pragmatic, performant, testable code that works consistently, and work on related projects. Recent projects include: - Implementing AI-assisted answers and integrating them into our Search product while maintaining our privacy-first approach - Delivering improvements to Duck.ai to help us make it a competitive AI chat alternative for both free and paying users - Implementing sophisticated data processing pipelines that maintain search relevancy As a Senior Backend Engineer, you'll collaborate remotely with your peers and take responsibility for solving product issues impacting our all-in-one privacy solution, whether large or small. In time, you'll formally mentor other engineers, supporting their career growth and the growth of the Backend Team at DuckDuckGo. ABOUT YOU - 7+ years of professional experience, primarily focused on backend systems that power consumer-facing products - Product acumen to reason about technical tradeoffs in terms of user impact - Familiarity with AI agent tooling: evaluation frameworks, RAG pipelines and prompt engineering - A fundamental understanding of complex data structures and algorithms — you can develop and apply new solutions and confidently navigate and improve existing code. - Data-driven analytical skills for decision-making, stakeholder alignment, and experiment-oriented delivery - Solid project management abilities - Excellent written and verbal communication to validate and articulate decisions - Previous experience leading and mentoring experienced engineers, supporting their career goals, and unlocking their potential. COMPENSATION This role is paid on a regional pay scale, in local currency, and stock options: - United States: $190,500 USD annually - United Kingdom: £134,600 GBP annually - Canada: C$253,500 CAD annually - Europe/Rest of World: €157,350 EUR annually In Spain, pay is expected to transition to the EUR scale on January 1, 2027, and in other Europe/Rest of World countries on February 1, 2027.   Compensation is transparent across the organization, and all team members within the same professional level and global region receive the same compensation.   Eligibility for company-sponsored health benefits is limited to team members based in the United States. This program does not extend to team members located in other countries, such as Canada or the UK.   Our Team Member Support Guide https://duckduckgo.com/assets/hiring/team_support_guide.pdf explains how we prioritize your wellbeing including paid parental leave, office setup, and co-working allowances.   HIRING PROCESS Hiring works best when it's a two-way street. Learn how we help you get to know DuckDuckGo, envision your future role here, and find out more about how we hire https://duckduckgo.com/how-we-hire. DIVERSITY, EQUITY AND INCLUSION DuckDuckGo provides equal work opportunities to all team members and applicants, and it prohibits discrimination and harassment of any type on the basis of race, color, ethnicity, caste, religion, age, sex (including pregnancy), national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by our policies or federal, state, or local laws. We want to ensure that our hiring process is accessible. If you need reasonable accommodation for any part of the application process because of a medical condition or disability, please send an email to careers@duckduckgo.com to let us know the nature of your request. PLEASE NOTE THAT: - You’ll be required to attend meetings on camera via video conferencing - Expect to travel at least two times a year: once for our all-hands meetup and again for a team retreat (each around 4-5 days). While extenuating circumstances may impact attendance, everyone is strongly encouraged to attend. - While we offer a flexible work arrangement with no core hours, expect an average full-time commitment of 40 hours per week. - A successful candidate must pass a background check as a condition of joining the team. - By applying for this role, you confirm that all information submitted is accurate and complete. You further acknowledge that providing false or fraudulent information during the application process is cause for denial of an offer, revocation of any existing offer, or other adverse action, up to and including termination after the start of your commencement of work. Disclosure Statement: Use of AI in Hiring Process As part of our commitment to enhancing our recruitment process, we utilize artificial intelligence (AI) technology to assist in reviewing and summarizing job applications and test projects, including those tools integrated into our recruitment vendor platforms. We use AI to flag potentially fraudulent applications, analyze and summarize applicants’ experience, interviews, and project performance, and help streamline our selection process. Key Principles: - Data Privacy: All information provided in your application will be handled in accordance with our Recruiting Privacy Policy https://duckduckgo.com/static-assets/files/pages/careers/DuckDuckGo-Recruiting-Privacy-Policy-effective-September-30-2025.pdf. We ensure that your personal information is protected and used solely for recruitment purposes. - Human Oversight and Accountability: The AI technology is designed to support our hiring team by providing insights and summaries of applications and evaluations of test projects against scoring rubrics. All final evaluations and hiring decisions, however, will be made by our hiring team, who will consider the AI's input alongside other factors. - Transparency: We believe in transparency regarding our hiring practices. If you have any questions about how AI is used in our recruitment process, please feel free to reach out to us. By submitting your application, you acknowledge and consent to the use of AI technology in our review process. If you would like to request an alternative selection process, please contact us as at careers@duckduckgo.com. Thank you for your interest in joining DuckDuckGo! #LI-DNI