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Location: LUKULA AU KONGO CENTRAL About GiveDirectly What if the most effective way to fight poverty was also the simplest: give people money and trust them to decide what they need? Since 2011, GiveDirectly has proven that idea at scale. We’ve delivered more than $1B in cash directly to 2+ million people living in poverty and crisis across 15 countries, and rigorous research shows the results: healthier kids, stronger businesses, sturdier homes, and more resilient families and local economies. Cash is now widely recognized as one of the most scalable, cost-effective, and dignified forms of aid. Our ambition goes beyond our own programs. We want cash to become the benchmark for aid, much as the index fund became the benchmark for investing, so that every aid dollar is held to one question: is this doing more good than giving the money directly to people living in poverty? We’re growing fast, and this is a rare and important moment to join. We expect to hit $1B in revenue in 2026 with significant growth forecast for 2027. At the same time we are building a new technology stack and operating model designed for a roughly 10x change in scale, and we are actively pursuing partnerships with major funders to move even more money in bigger ways, to people who need it. We are known for our extensive integration of technology into field processes; our quantitative approach to performance measurement; and our commitment to rigorous, independent, experimental evaluation of our impact, with multiple Randomized Control Trials completed and others in progress. How we work Our team spans 20+ countries and 69 languages. Our culture is candid, analytical, and non-hierarchical. We expect high ownership and give people real responsibility early. Our values are central to how we hire, work, and grow, and they are deliberately opinionated: Recipients first. Recipients’ preferences come before those of donors or ourselves. Team next. We optimize for organizational success, not individual success. Be proactively candid. We say what we believe and share information openly. Create positive energy. We aim to be a source of energy for colleagues, not a drain. Think rigorously; act quickly. We reason from first principles, then act rather than debate. Know yourself and grow. We own our imperfections and seek feedback to grow. Accept reality. Propose solutions. We focus on what can change and bring solutions, not just problems. Be productively ambitious. We take risks for step-change impact, not incremental progress. If they describe how you like to work and they energize you, this could be a great fit. Want to learn more? Read and listen: We are one of Time100’s Most Influential Companies of 2026, and our work has been covered by The Economist , NPR , TED , and The Washington Post . We're now preparing to deliver billions of dollars a year to people in extreme poverty, if funding allows. Read our CEO's essay on what that will take. À propos de GiveDirectly GiveDirectly envoie de l’argent directement aux personnes en situation d'extrême pauvreté , afin qu’elles décident elles-mêmes de ce dont elles ont le plus besoin , notre culture est franche , analytique, rapide et non hiérarchique. Depuis 2018, GiveDirectly est présente en RDC et transfert de l’argent par téléphone mobile au menages vulnerables , en vue de promouvoir la sécurité alimentaire, la réduction de la pauvreté et l’inclusion financière. Pour en savoir plus sur notre action et nos resultats ,visitez : www.givedirectly.org a.Responsabilités. Nettoie le plafond, les fenêtres, les rebords de fenêtres, le mobilier et équipement, les entrées principales du bureau. Assurer la propreté régulière des bureaux Givedirectly . Assurer la propreté de la cour. Lave les salles de bains, toilettes et sols sur une base journalière. Lave les serviettes de salles de bain ainsi que les gilets de visibilité des staffs. Lavage et Repassage du linge de la base . Assurer la préparation des repas des staffs et autres tâches de cuisine. Faire les achats de nourriture pour le petit déjeuner Vide les poubelles et assure que l’intérieure de poubelle soit proprement nettoyé Range correctement les matériels de nettoyage (Corbeil,papier hygiénique,serviettes,savons) dans différents bureaux et toilettes Vérifie et assure que le matériel hygiénique et les produits d’entretien sont disponibles dans les bureaux, et soumet son État de besoins lorsque cela est nécessaire Fait le contrôle et rapporte immédiatement toute fuite sur les installations (Eau) Prépare la salle de réunion Suit le code de conduite de Givedirectly Maintenir la propreté et l’hygiène au sein des bureaux A effectuer les activités liées à la gastronomie et tout ce qui l’entoure au sein de l’organisation Givegirectly. Il doit vraiment apprécier tout ce que ça demande, se procurer les produits, faire la mise en place, cuisiner, servir, et être en mesure de créer des menus. En fin un bon cuisinier doit être passionné par la gastronomie et tout ce qui l'entoure A travers la logistique, il doit tenir au courant, son superviseur de tous les problèmes liés à la gastronomie sous sa responsabilité. Maître dans sa cuisine, le cuisinier élabore un budget lies à la gastronomie et le soumet à l’administrateur de bureau pour appréciation et validation. Participe ou effectue de fois aux achats de produits des cuisines ou des produits alimentaires budgétisés. Il choisit les produits, élabore les recettes et réalise les différents plats prévus au menu. Selon son lieu d'exercice, il travaille seul ou à la tête d'une équipe très hiérarchisée. Dresser les menus, préparer les repas, et déterminer les portions et les quantités nécessaires. Tenir compte des besoins alimentaires particuliers, s'il y a lieu. Commander et vérifier les marchandises nécessaires. Nettoyer la cuisine et l'aire de travail. Superviser le personnel de cuisine. Préparer les menus et élaborer les plats, Sélectionner les produits pour la réalisation des menus, Réaliser les cuissons des aliments, Soigner le dressage des assiettes, Nettoyer la cuisine, en fin de service, Veiller au respect des normes de sécurité et d'hygiène Profil Recherché Avoir un diplôme d'État et de formation en art culinaire. Avoir une expérience  en tant que technicien de surface Apte à proposer des solutions rapides. Capacités de travail en équipe. Avoir la capacité de travailler dans un environnement multiculturel. Pouvoir organiser son travail et les établir des priorités Etre capable d'entretenir des relations de travail dans un esprit d'équipe. Capacité d’adaptation face aux pressions et à l’évolution des besoins. Attention aux détails et excellentes notions de calcul. Avoir des notion en informatique Bon niveau de français écrit et parlé C.Valeurs de GiveDirectly Priorité aux bénéficiaires : Nous privilégions les préférences des bénéficiaires, pas celles de nos donateurs ni même les nôtres. L’équipe avant l’individuel : Nous œuvrons pour le succès de l’organisation, pas celui des individus. Être proactivement franc : Nous parlons et communiquons les informations en toute franchise. Créer une énergie positive : Nous nous efforçons d’apporter de l’énergie positive à nos collègues, et pas de la leur prendre. Réfléchir rigoureusement, agir rapidement : Priorité à la rigueur et à l’action, pas au débat interminable. Se connaître et se développer : Nous sommes conscients de nos défauts, mais nous les exploitons. Accepter la réalité, Proposer des solutions : Nous ne nous attardons pas sur les problèmes. Nous créons des solutions. Être ambitieux de manière productive : Nous prenons des risques qui pourraient révolutionner le secteur d. Comment postuler Les candidatures se font uniquement en ligne, les intéressés sont priés d’aller sur le https://boards.greenhouse.io/givedirectly chercher les offres de la RDC, et soumettre leurs candidatures au plus tard le 05 Novembre   2026 à 17h00 précises Heure de Kinshasa. Si les pièces ne sont pas demandées sur le portail de candidatures , le dossier contient ( Un CV à jour avec 3 références, une lettre de motivation , la copie du diplôme et le certificat de fin de service du dernier employeur, Les dossiers incomplets ne seront pas examinés) En cas de difficulté technique écrire à drc-recruitment@givedirectly.org Les attestations fournies sont toutes vérifiées ; en cas de fausse information votre candidature sera rejetée. Les attestations de services fournies dans votre dossier pour ce recrutement, seront vérifiées, scrupuleusement, et toute fausse information y relative entraînera un rejet immédiat de votre candidature. ATTENTION : NE PAS ENVOYER VOTRE CANDIDATURE À L'ÉMAIL : whistleblower@givedirectly.org Nos engagements GiveDirectly applique une politique de tolérance zéro à l'égard de l'exploitation, des abus et du harcèlement sexuels (SEAH) et attend de toute personne qui travaille avec nous qu'elle place la protection des bénéficiaires en priorité. Le recrutement est entièrement gratuit. GiveDirectly ne demande ni frais, ni pot-de-vin, ni faveur d'aucune sorte, ni information bancaire, à aucune étape du processus. Si l'on vous formule une telle demande, ou si vous estimez subir une pression ou une discrimination injuste, écrivez à whistleblower@givedirectly.org Cette adresse sert uniquement à signaler un problème, jamais à postuler. Working at GiveDirectly GiveDirectly is an Equal Opportunity Employer. All qualified applicants are considered for employment without regard to the person’s race, color, religion, national origin, sex, sexual orientation, age, marital status, veteran status, disability, or any other characteristic protected by applicable law. Flagging for US applicants: We invite you to " Know Your Rights " as an applicant. Commitment to Safeguarding As a global organization working with communities to eliminate extreme poverty, GiveDirectly takes the safeguarding of its recipients, staff, and partners seriously. To that end, GiveDirectly is a member of the Misconduct Disclosure Scheme , and will systematically check with previous employers about any abuse or misconduct related matters involving potential new hires. We may also employ other robust pre-hire screens, including in-depth reference checks, criminal background checks, and sanctions screens. These efforts help us continue to build and maintain trust with the communities we work with, and prevent abuse to our recipients and staff. **GD is committed to observing all local, national and international laws that protect people and basic human rights of all. GD is committed to a policy of “zero tolerance when it comes to preventing,  reporting, or responding to any form of abuse or  exploitation.” and expects anyone who works for GD to uphold the protection and safeguarding of our recipients as a priority.** Reasonable Accommodations We are committed to fostering an inclusive and accessible work environment. If you require any accommodations during the application or interview process, or to perform the essential functions of the role, please email us at careers@givedirectly.org with the email subject “Accommodation Needed”. We will work with you to ensure reasonable accommodations are made to support your needs. Want to put your best foot forward on your GiveDirectly application? Take a look at our Candidate Application Prep Guide !

Location: Serbia - Remote; Spain - Remote About Smartcat Smartcat is building the future of work, where human expertise meets digital teammates to drive 10x to 1000x productivity gains for the world’s leading enterprises. We’re on the frontier of an entirely new category: Agentic AI. We enable enterprises to build high-performing hybrid workforces made up of both humans and AI agents. These AI agents aren’t generic copilots. They’re fully trained digital teammates that learn from your best people, your content, and your business strategy—ready to get to work from day one. Our platform combines generative AI, human-in-the-loop workflows, and a living Enterprise Skill Graph that continuously learns and improves. Whether you're launching a product globally, onboarding new hires, translating learning content, or aligning legal teams across regions, Smartcat turns knowledge into action and action into scale. Over 1,000 companies, including 20% of the Fortune 500, rely on Smartcat to bring their business to the world—instantly, accurately, and in every language. As a Series C company with consistently high year-over-year growth, we’re scaling fast and investing in people who want to shape the future of work with us. Join us in unlocking global potential, one human and agent team at a time. WHY YOU SHOULD JOIN OUR TEAM This role is ideal for someone who loves AI, thinks in systems, and enjoys building practical solutions that drive measurable impact. You’ll be one of our first AI Strategists, building custom AI solutions from scratch for Smartcat’s largest strategic customers. You’ll work in a pod with a dedicated Strategic Account Executive and Technical Account Manager, and sometimes a Forward Deployed Engineer. You don’t need to be a software engineer, but you do need real fluency with modern AI tools, fast experimentation, and a builder’s instinct. You’ll engage senior executives to define where AI creates value, then build the agents and workflows that deliver it, and bring customer insights back to Product. MISSION Design and build custom AI workflows and agents from scratch for Smartcat’s strategic customers, translating each customer’s ambiguous business problems into working, scalable, measurable AI solutions that drive adoption and expand the relationship. OUTCOMES Partner with business leaders and technical teams at strategic customers to scope high-value AI use cases and align on success metrics, from the sales cycle through delivery Identify where AI workflows can deliver ROI, efficiency, and competitive advantage, and build the business case with the account team Design, build, and deploy new custom AI solutions and agents for customers, going beyond reconfiguring existing workflows Work with structured and unstructured customer data, including vector databases, MCP, and RAG, and build agents that combine semantic and keyword search across customer knowledge bases and content Own customer engagements end to end, from ideation through delivery, ensuring long-term adoption and measurable business outcomes Work as part of a customer pod with the Strategic Account Executive, Technical Account Manager, and Forward Deployed Engineer Train and empower customer teams to use and iterate on the AI workflows you build, and drive onboarding and change management so solutions become part of their day-to-day operations Act as the voice of the customer, surfacing needs, patterns, and insights that inform Smartcat’s product roadmap Contribute playbooks, reusable solution patterns, and case studies, and help drive AI-first thinking across the team HOW YOU’LL RAMP By Day 30: Learn Smartcat’s platform, AI agent capabilities, and the types of AI workflows customers already run Meet your pod partners (Strategic Account Executives, Technical Account Managers, Forward Deployed Engineers) and understand how each role contributes Get oriented on your assigned strategic accounts: business goals, key stakeholders, current workflows, and open opportunities Get set up with the team’s AI tooling and development environment By Day 60: Join customer conversations with the account team to scope AI use cases and define success metrics Build and test a first custom AI solution or agent for a live customer opportunity Document the use case, approach, and expected business impact By Day 90: Own a customer engagement from scoping through delivery, with a working solution in the customer’s hands Run enablement or training for the customer’s team and support their adoption Bring customer feedback and reusable patterns back to Product and the wider team WHAT YOU’VE ACCOMPLISHED Experience in a customer-facing AI, solutions, consulting, or technical role, ideally in B2B SaaS or enterprise environments A track record of building AI-powered workflows, agents, or automations that solved real business problems, not just integrations An AI-first way of working: real hands-on experience with AI coding tools such as Claude, Cursor, Cline, or similar (“vibe coding”), used as the default way you build, test, and solve problems Hands-on experience building with Python, along with AI coding tools such as Claude, Cursor, or Cline; SQL or data analysis is a plus Familiarity with vector databases, MCP, RAG, and agent design Comfort with the command line, basic Linux administration, and cloud infrastructure (AWS/GCP) The ability to translate ambiguous business problems into practical, scalable AI solutions, and to drive projects end to end Comfort engaging both technical stakeholders and senior executives, and translating between the two, with strong communication and collaboration skills A customer-centric mindset, with the ability to connect technical capabilities to business value Experience delivering solutions in complex enterprise organizations while operating comfortably in a fast-moving startup environment A builder mentality: bias for action, comfort with ambiguity, and the ability to create structure where none exists Experience with change management and customer enablement Leading cross-functional initiatives or teams is a nice to have Flexibility to travel for customer engagements Why joining Smartcat might be your best move so far A global, connected team We’re a team of 200+ people across 30+ countries, working together through a hub-and-spoke model anchored in eight key locations: New York, London, Lisbon, Costa Rica, Serbia, Armenia, Georgia, and Spain.  Most of our roles are remote-friendly, giving you the flexibility to do your best work from where you thrive. For customer-facing teams, we prioritize proximity to our customers, ensuring we stay deeply connected to their needs and deliver an exceptional experience.  No matter where you’re based, you’ll be part of a highly collaborative, globally-distributed team that values ownership, speed, and meaningful impact. Be part of an AI Native Organization We are highly innovative, using AI across all areas of the organization to accelerate decision-making and free people to focus on strategy and high-impact work. We embrace new ideas and encourage all Smartcaters, regardless of level or department, to manage their own AI Agents. At Smartcat you’ll shape how AI transforms the workplace and play an integral role in ensuring Smartcat remains a leader in AI innovation. Innovating a $100 Billion industry Smartcat is reshaping the $100B multilingual content industry with an AI-powered platform that makes it easy for companies to create, translate, and localize global content at scale. Our platform enables enterprise teams to move away from slow,  traditional outsourcing methods, and achieve fast, high-quality results, at a fraction of the cost. Join the rocketship to scale-up 10x and beyond together We are looking for someone to become an integral part of our team and play a crucial role in the most exciting part of our journey: transitioning from a post-Series C startup to a company exceeding $100M in ARR and $1B in valuation. Our journey isn’t for the faint of heart. We are growing at 130% YoY, thanks to our strong product-market fit and high-performing team, and plan to accelerate from here. Smartcat Culture Code : Where Diversity Meets High Performance At Smartcat, we are committed to building a culture that highlights respect and appreciation for each individual's unique background and perspective, while maintaining a strong focus on results and engagement. We believe in welcoming everyone and fostering an inclusive environment where team members can be their authentic selves at work. Our commitment to inclusion is steadfast, and we stand firmly against discrimination and harassment.

Location: Costa Rica - Remote About Smartcat Smartcat is building the future of work, where human expertise meets digital teammates to drive 10x to 1000x productivity gains for the world’s leading enterprises. We’re on the frontier of an entirely new category: Agentic AI. We enable enterprises to build high-performing hybrid workforces made up of both humans and AI agents. These AI agents aren’t generic copilots. They’re fully trained digital teammates that learn from your best people, your content, and your business strategy—ready to get to work from day one. Our platform combines generative AI, human-in-the-loop workflows, and a living Enterprise Skill Graph that continuously learns and improves. Whether you're launching a product globally, onboarding new hires, translating learning content, or aligning legal teams across regions, Smartcat turns knowledge into action and action into scale. Over 1,000 companies, including 20% of the Fortune 500, rely on Smartcat to bring their business to the world—instantly, accurately, and in every language. As a Series C company with consistently high year-over-year growth, we’re scaling fast and investing in people who want to shape the future of work with us. Join us in unlocking global potential, one human and agent team at a time. WHY YOU SHOULD JOIN OUR TEAM This role is ideal for someone who loves AI, thinks in systems, and enjoys building practical solutions that drive measurable impact. You’ll be one of our first AI Strategists, building custom AI solutions from scratch for Smartcat’s largest strategic customers. You’ll work in a pod with a dedicated Strategic Account Executive and Technical Account Manager, and sometimes a Forward Deployed Engineer. You don’t need to be a software engineer, but you do need real fluency with modern AI tools, fast experimentation, and a builder’s instinct. You’ll engage senior executives to define where AI creates value, then build the agents and workflows that deliver it, and bring customer insights back to Product. MISSION Design and build custom AI workflows and agents from scratch for Smartcat’s strategic customers, translating each customer’s ambiguous business problems into working, scalable, measurable AI solutions that drive adoption and expand the relationship. OUTCOMES Partner with business leaders and technical teams at strategic customers to scope high-value AI use cases and align on success metrics, from the sales cycle through delivery Identify where AI workflows can deliver ROI, efficiency, and competitive advantage, and build the business case with the account team Design, build, and deploy new custom AI solutions and agents for customers, going beyond reconfiguring existing workflows Work with structured and unstructured customer data, including vector databases, MCP, and RAG, and build agents that combine semantic and keyword search across customer knowledge bases and content Own customer engagements end to end, from ideation through delivery, ensuring long-term adoption and measurable business outcomes Work as part of a customer pod with the Strategic Account Executive, Technical Account Manager, and Forward Deployed Engineer Train and empower customer teams to use and iterate on the AI workflows you build, and drive onboarding and change management so solutions become part of their day-to-day operations Act as the voice of the customer, surfacing needs, patterns, and insights that inform Smartcat’s product roadmap Contribute playbooks, reusable solution patterns, and case studies, and help drive AI-first thinking across the team HOW YOU’LL RAMP By Day 30: Learn Smartcat’s platform, AI agent capabilities, and the types of AI workflows customers already run Meet your pod partners (Strategic Account Executives, Technical Account Managers, Forward Deployed Engineers) and understand how each role contributes Get oriented on your assigned strategic accounts: business goals, key stakeholders, current workflows, and open opportunities Get set up with the team’s AI tooling and development environment By Day 60: Join customer conversations with the account team to scope AI use cases and define success metrics Build and test a first custom AI solution or agent for a live customer opportunity Document the use case, approach, and expected business impact By Day 90: Own a customer engagement from scoping through delivery, with a working solution in the customer’s hands Run enablement or training for the customer’s team and support their adoption Bring customer feedback and reusable patterns back to Product and the wider team WHAT YOU’VE ACCOMPLISHED Experience in a customer-facing AI, solutions, consulting, or technical role, ideally in B2B SaaS or enterprise environments A track record of building AI-powered workflows, agents, or automations that solved real business problems, not just integrations An AI-first way of working: real hands-on experience with AI coding tools such as Claude, Cursor, Cline, or similar (“vibe coding”), used as the default way you build, test, and solve problems Hands-on experience building with Python, along with AI coding tools such as Claude, Cursor, or Cline; SQL or data analysis is a plus Familiarity with vector databases, MCP, RAG, and agent design Comfort with the command line, basic Linux administration, and cloud infrastructure (AWS/GCP) The ability to translate ambiguous business problems into practical, scalable AI solutions, and to drive projects end to end Comfort engaging both technical stakeholders and senior executives, and translating between the two, with strong communication and collaboration skills A customer-centric mindset, with the ability to connect technical capabilities to business value Experience delivering solutions in complex enterprise organizations while operating comfortably in a fast-moving startup environment A builder mentality: bias for action, comfort with ambiguity, and the ability to create structure where none exists Experience with change management and customer enablement Leading cross-functional initiatives or teams is a nice to have Flexibility to travel for customer engagements Why joining Smartcat might be your best move so far A global, connected team We’re a team of 200+ people across 30+ countries, working together through a hub-and-spoke model anchored in eight key locations: New York, London, Lisbon, Costa Rica, Serbia, Armenia, Georgia, and Spain.  Most of our roles are remote-friendly, giving you the flexibility to do your best work from where you thrive. For customer-facing teams, we prioritize proximity to our customers, ensuring we stay deeply connected to their needs and deliver an exceptional experience.  No matter where you’re based, you’ll be part of a highly collaborative, globally-distributed team that values ownership, speed, and meaningful impact. Be part of an AI Native Organization We are highly innovative, using AI across all areas of the organization to accelerate decision-making and free people to focus on strategy and high-impact work. We embrace new ideas and encourage all Smartcaters, regardless of level or department, to manage their own AI Agents. At Smartcat you’ll shape how AI transforms the workplace and play an integral role in ensuring Smartcat remains a leader in AI innovation. Innovating a $100 Billion industry Smartcat is reshaping the $100B multilingual content industry with an AI-powered platform that makes it easy for companies to create, translate, and localize global content at scale. Our platform enables enterprise teams to move away from slow,  traditional outsourcing methods, and achieve fast, high-quality results, at a fraction of the cost. Join the rocketship to scale-up 10x and beyond together We are looking for someone to become an integral part of our team and play a crucial role in the most exciting part of our journey: transitioning from a post-Series C startup to a company exceeding $100M in ARR and $1B in valuation. Our journey isn’t for the faint of heart. We are growing at 130% YoY, thanks to our strong product-market fit and high-performing team, and plan to accelerate from here. Smartcat Culture Code : Where Diversity Meets High Performance At Smartcat, we are committed to building a culture that highlights respect and appreciation for each individual's unique background and perspective, while maintaining a strong focus on results and engagement. We believe in welcoming everyone and fostering an inclusive environment where team members can be their authentic selves at work. Our commitment to inclusion is steadfast, and we stand firmly against discrimination and harassment.

Location: New York City Workplace: Hybrid Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. The Role We’re hiring Solutions Engineers to build Synthesia’s pre-sales function in North America. This is a founding role: you’ll be one of the first SEs, shaping the playbook, tooling and best practices as we scale, not following an established model. If you’re someone who is excited by building while scaling, we’d love to hear from you. As a Solutions Engineer at Synthesia, you will partner with Account Executives, Customer Success and Product Marketing to run discovery, deliver demos, scope POCs and design the technical solution for each deal. You will be a trusted advisor focused on the value customers get from Synthesia, and you’ll take what you learn in the field back to Product. This is an incredible opportunity to join us as we become a multi-product company for the first time, and continue to scale across North America. What You’ll Do - Co-plan and support discovery calls with your AE to understand customer requirements, technical environment, and business challenges. - Design and execute repeatable demo methodologies that prove Synthesia’s business value quickly, whether the customer is deploying Studio at scale, building Roleplay Sessions for skill uplift, or integrating Interactive Avatars into their product. - Build and maintain strong working knowledge of Synthesia’s platform capabilities, roadmap, and positioning across all product lines, so you can speak to the use cases that drive value. - Deliver demonstrations that speak to customer problems and tell a credible story of why Synthesia is the right solution. - Identify technical objections and integration questions as they come up, working with your AE and the broader ecosystem to find a path forward. - Contribute your assessment of technical fit and opportunity risk to help your AE shape account and deal strategy. - Keep your deal team and manager informed on deal status, timeline, and technical dependencies. - Identify, build relationships with, and actively enable technical champions within customer organizations so they can advocate for Synthesia internally. - Provide technical guidance on platform capabilities, API and SDK integrations, security, compliance topics (SOC 2, GDPR, enterprise identity), and scalability for global deployments, troubleshooting issues and validating integrations with LMS, HCM, and content systems as they surface. - Partner with Enablement to complete certifications, stay current on new releases, and keep your demo and objection-handling skills sharp. We’d love to hear from you if you have - 2+ years of pre-sales, solutions engineering, or customer-facing technical experience in a SaaS environment (or equivalent technical customer-facing experience). - Delivers a strong standard demo aligned to the discovery points and agenda set with the AE, with a solid grasp of core demo technique (e.g., Tell-Show-Tell). - Applies established solution designs and best practices to the customer’s use case, working with core ecosystem functions (Product, Customer Success) as the deal requires. - Identifies and surfaces deal risk and next steps based on what the customer tells you, escalating clearly to your AE so it gets actioned. - Working knowledge of MEDDPICC and Command of the Message, and can articulate why Synthesia is a fit for the prospect. - Resourceful: knows how to find the right person or tool internally, and is building their own network across the GTM organization. - Comfortable with the technical fundamentals in at least one area (creation flows, APIs, integrations, security, compliance) and eager to build depth quickly. - Self-motivated and organized, able to manage a growing book of POCs, demos, and customer conversations while hitting deadlines. - Willing to travel for customer discovery and on-site demos as needed. - You like staying ahead of the AI-native learning and enablement space, so you can credibly discuss how customers are shifting from static methods to interactive practice and measurable skill development. - Strong written and spoken communication in English. We’d be particularly excited if - You have previous experience as an AE. - You have experience with video AI. Location We're looking for someone based in NYC for this role, who can commit to 2+ days a week in-office. Compensation We’re hiring Solutions Engineers across a range of experience levels and expect to pay between $171,609 and $222,502 OTE (on-target earnings), split 70% base / 30% variable, with the variable portion paid quarterly.

Location: Austin Workplace: Hybrid Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. The Role We’re hiring Solutions Engineers to build Synthesia’s pre-sales function in North America. This is a founding role: you’ll be one of the first SEs, shaping the playbook, tooling and best practices as we scale, not following an established model. If you’re someone who is excited by building while scaling, we’d love to hear from you. As a Solutions Engineer at Synthesia, you will partner with Account Executives, Customer Success and Product Marketing to run discovery, deliver demos, scope POCs and design the technical solution for each deal. You will be a trusted advisor focused on the value customers get from Synthesia, and you’ll take what you learn in the field back to Product. This is an incredible opportunity to join us as we become a multi-product company for the first time, and continue to scale across North America. What You’ll Do - Co-plan and support discovery calls with your AE to understand customer requirements, technical environment, and business challenges. - Design and execute repeatable demo methodologies that prove Synthesia’s business value quickly, whether the customer is deploying Studio at scale, building Roleplay Sessions for skill uplift, or integrating Interactive Avatars into their product. - Build and maintain strong working knowledge of Synthesia’s platform capabilities, roadmap, and positioning across all product lines, so you can speak to the use cases that drive value. - Deliver demonstrations that speak to customer problems and tell a credible story of why Synthesia is the right solution. - Identify technical objections and integration questions as they come up, working with your AE and the broader ecosystem to find a path forward. - Contribute your assessment of technical fit and opportunity risk to help your AE shape account and deal strategy. - Keep your deal team and manager informed on deal status, timeline, and technical dependencies. - Identify, build relationships with, and actively enable technical champions within customer organizations so they can advocate for Synthesia internally. - Provide technical guidance on platform capabilities, API and SDK integrations, security, compliance topics (SOC 2, GDPR, enterprise identity), and scalability for global deployments, troubleshooting issues and validating integrations with LMS, HCM, and content systems as they surface. - Partner with Enablement to complete certifications, stay current on new releases, and keep your demo and objection-handling skills sharp. We’d love to hear from you if you have - 2+ years of pre-sales, solutions engineering, or customer-facing technical experience in a SaaS environment (or equivalent technical customer-facing experience). - Delivers a strong standard demo aligned to the discovery points and agenda set with the AE, with a solid grasp of core demo technique (e.g., Tell-Show-Tell). - Applies established solution designs and best practices to the customer’s use case, working with core ecosystem functions (Product, Customer Success) as the deal requires. - Identifies and surfaces deal risk and next steps based on what the customer tells you, escalating clearly to your AE so it gets actioned. - Working knowledge of MEDDPICC and Command of the Message, and can articulate why Synthesia is a fit for the prospect. - Resourceful: knows how to find the right person or tool internally, and is building their own network across the GTM organization. - Comfortable with the technical fundamentals in at least one area (creation flows, APIs, integrations, security, compliance) and eager to build depth quickly. - Self-motivated and organized, able to manage a growing book of POCs, demos, and customer conversations while hitting deadlines. - Willing to travel for customer discovery and on-site demos as needed. - You like staying ahead of the AI-native learning and enablement space, so you can credibly discuss how customers are shifting from static methods to interactive practice and measurable skill development. - Strong written and spoken communication in English. We’d be particularly excited if - You have previous experience as an AE. - You have experience with video AI. Location We're looking for someone based in Austin for this role, who can commit to 2+ days a week in-office. Compensation We’re hiring Solutions Engineers across a range of experience levels and expect to pay between $155,621 and $211,197 OTE (on-target earnings), split 70% base / 30% variable, with the variable portion paid quarterly.

Location: New York City Workplace: Hybrid Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. The role We’re hiring Senior Solutions Engineers to build Synthesia’s pre-sales function in North America. This is a founding role: you’ll be one of the first SEs, shaping the playbook, tooling, and best practices as we scale, not following an established model. If you’re excited by building while scaling, we’d love to hear from you. As a Solutions Engineer at Synthesia, you will partner with Account Executives, Customer Success, and Product Marketing to run discovery, deliver demos, scope POCs, and design the technical solution for each deal. You will be a trusted advisor focused on the value customers get from Synthesia, and you’ll take what you learn in the field back to Product. This is an incredible opportunity to join us as we become a multi-product company for the first time and continue to scale across North America. Sales cycle ownership - Co-plan and execute discovery calls to understand customer requirements, their technical environment, and current business challenges. - Design and deliver compelling demonstrations that solve customer problems, quantify the value of solving those problems, and tell a clear, credible story of how Synthesia solves them better than anything else. - Understand and overcome technical objections and integration concerns; identify blockers early and develop solution paths with customers. - Support stakeholder workshops that connect Synthesia to the buyer’s broader technology strategy on complex, multi-stakeholder deals. - Partner with Account Executives to define account and deal strategy, advise on competitive positioning, assess opportunity stage, and forecast your book of business for leadership. Demo excellence - Design and execute repeatable demo methodologies that prove Synthesia’s business value quickly, whether the customer is deploying Studio at scale, designing Roleplay Sessions for skill building, or integrating Interactive Avatars into their product. - Identify, build relationships with, and actively empower executive champions within customer organizations so they can advocate for Synthesia internally. - Develop and maintain reusable assets across demo environments, use cases, integration templates, objections, and industry playbooks, brought to life directly in Synthesia’s platform. - Support POC and pilot readouts as a business narrative, not a feature tour, learning to bring storytelling and executive presence to the room as you grow into more senior conversations. - Provide technical guidance on platform capabilities, API and SDK integrations, security, compliance topics (SOC 2, GDPR, enterprise identity), and scalability for global deployments. Product and industry expertise - Maintain deep expertise on Synthesia’s platform capabilities across all product lines, roadmap, and positioning to highlight value-driving use cases. - Develop deep vertical knowledge, establishing yourself as a subject matter expert and building trust with executive buyers. - Stay ahead of the AI-native learning and enablement space, so you can credibly discuss how customers are shifting from current, static methods to interactive practice and measurable skill development. Ecosystem collaboration - Product: share customer and prospect product and competitive feedback with pre-sales leadership and Product, flagging pain points, missing capabilities, and gaps that surface in your deals to help shape the roadmap. - Product Marketing: work with Product Marketing to understand and apply messaging and positioning in your deal cycles, and contribute to reusable assets like demo scripts and competitive battlecards. - Customer Success: brief Customer Success on technical context and champion relationships at handoff, so your POCs and pilots convert cleanly into production deployments. - Enablement: review and enhance enablement content based on what works best in preparing team members for client engagements, and deliver and evaluate certification as needed to accelerate understanding in the commercial team. What we’re looking for - We expect this person to have a minimum of 5+ years experience in pre-sales, solutions engineering, or customer-facing technical experience at SaaS companies. - Strong consultative discovery, stakeholder management, and communication skills, with the ability to engage credibly with both executive decision-makers (CHRO, CLO, Head of L&D, CTO) and technical audiences (IT, security, developers). - Technical depth in at least one area (creation flows, APIs, integrations such as LMS, HCM, CRM, and identity, security, or compliance) and a willingness to learn quickly across domains. - Fluency with sales methodologies such as MEDDPICC and Command of the Message, and comfort translating technical requirements into business value and ROI conversations. - A problem-solving approach built on gathering requirements, asking clarifying questions, and adapting solutions to customer needs. - Excellent business and technical presentation skills, in person and remote, and the ability to explain complex AI and integration concepts clearly to both technical and non-technical audiences. - Self-motivated and organized, with the ability to manage multiple POCs, demos, and customer conversations simultaneously while meeting deadlines. - A collaborative mindset; you thrive working with AEs, Product, Customer Success, and other teams to drive customer and company success. - Product orientation and genuine curiosity about how customers use technology. - Willingness to travel to visit key customers for discovery, executive conversations, and on-site demos. We’d be particularly excited if - You're a MEDDPICC & Command of the Message expert. - You bring experience with video AI. Compensation This is a Senior Solutions Engineer position, and we expect to pay between $222,502 and $266,212 OTE (on-target earnings), split 70% base / 30% variable, with the variable portion paid quarterly.

Location: Austin; US Remote Workplace: Hybrid Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. The role We’re hiring Senior Solutions Engineers to build Synthesia’s pre-sales function in North America, focusing on Mountain, Central, and West regions. This is a founding role: you’ll be one of the first SEs, shaping the playbook, tooling, and best practices as we scale, not following an established model. If you’re excited by building while scaling, we’d love to hear from you. As a Solutions Engineer at Synthesia, you will partner with Account Executives, Customer Success, and Product Marketing to run discovery, deliver demos, scope POCs, and design the technical solution for each deal. You will be a trusted advisor focused on the value customers get from Synthesia, and you’ll take what you learn in the field back to Product. This is an incredible opportunity to join us as we become a multi-product company for the first time and continue to scale across North America. We're ideally looking for someone based in Austin, where we have an office, for this role, but welcome remote candidates to apply. Sales cycle ownership - Co-plan and execute discovery calls to understand customer requirements, their technical environment, and current business challenges. - Design and deliver compelling demonstrations that solve customer problems, quantify the value of solving those problems, and tell a clear, credible story of how Synthesia solves them better than anything else. - Understand and overcome technical objections and integration concerns; identify blockers early and develop solution paths with customers. - Support stakeholder workshops that connect Synthesia to the buyer’s broader technology strategy on complex, multi-stakeholder deals. - Partner with Account Executives to define account and deal strategy, advise on competitive positioning, assess opportunity stage, and forecast your book of business for leadership. Demo excellence - Design and execute repeatable demo methodologies that prove Synthesia’s business value quickly, whether the customer is deploying Studio at scale, designing Roleplay Sessions for skill building, or integrating Interactive Avatars into their product. - Identify, build relationships with, and actively empower executive champions within customer organizations so they can advocate for Synthesia internally. - Develop and maintain reusable assets across demo environments, use cases, integration templates, objections, and industry playbooks, brought to life directly in Synthesia’s platform. - Support POC and pilot readouts as a business narrative, not a feature tour, learning to bring storytelling and executive presence to the room as you grow into more senior conversations. - Provide technical guidance on platform capabilities, API and SDK integrations, security, compliance topics (SOC 2, GDPR, enterprise identity), and scalability for global deployments. Product and industry expertise - Maintain deep expertise on Synthesia’s platform capabilities across all product lines, roadmap, and positioning to highlight value-driving use cases. - Develop deep vertical knowledge, establishing yourself as a subject matter expert and building trust with executive buyers. - Stay ahead of the AI-native learning and enablement space, so you can credibly discuss how customers are shifting from current, static methods to interactive practice and measurable skill development. Ecosystem collaboration - Product: share customer and prospect product and competitive feedback with pre-sales leadership and Product, flagging pain points, missing capabilities, and gaps that surface in your deals to help shape the roadmap. - Product Marketing: work with Product Marketing to understand and apply messaging and positioning in your deal cycles, and contribute to reusable assets like demo scripts and competitive battlecards. - Customer Success: brief Customer Success on technical context and champion relationships at handoff, so your POCs and pilots convert cleanly into production deployments. - Enablement: review and enhance enablement content based on what works best in preparing team members for client engagements, and deliver and evaluate certification as needed to accelerate understanding in the commercial team. What we’re looking for - We expect this person to have a minimum of 5+ years experience in pre-sales, solutions engineering, or customer-facing technical experience at SaaS companies. - Strong consultative discovery, stakeholder management, and communication skills, with the ability to engage credibly with both executive decision-makers (CHRO, CLO, Head of L&D, CTO) and technical audiences (IT, security, developers). - Technical depth in at least one area (creation flows, APIs, integrations such as LMS, HCM, CRM, and identity, security, or compliance) and a willingness to learn quickly across domains. - Fluency with sales methodologies such as MEDDPICC and Command of the Message, and comfort translating technical requirements into business value and ROI conversations. - A problem-solving approach built on gathering requirements, asking clarifying questions, and adapting solutions to customer needs. - Excellent business and technical presentation skills, in person and remote, and the ability to explain complex AI and integration concepts clearly to both technical and non-technical audiences. - Self-motivated and organized, with the ability to manage multiple POCs, demos, and customer conversations simultaneously while meeting deadlines. - A collaborative mindset; you thrive working with AEs, Product, Customer Success, and other teams to drive customer and company success. - Product orientation and genuine curiosity about how customers use technology. - Willingness to travel to visit key customers for discovery, executive conversations, and on-site demos. We’d be particularly excited if - You're a MEDDPICC & Command of the Message expert. - You bring experience with video AI. Compensation This is a Senior Solutions Engineer position, and we expect to pay between $211,197 and $257,901 OTE (on-target earnings), split 70% base / 30% variable, with the variable portion paid quarterly.

Location: Sydney Workplace: OnSite LIFE AT UIPATH The people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating category-leading enterprise software that unleashes that power. To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care—about each other, about UiPath, and about our larger purpose. Could that be you? YOUR MISSION Be the market facing engine of UiPath. Part of a talented group of people who are passionate about putting our “Accelerating Human Achievement” vision into action through world-class execution. You’ll create new business opportunities by contacting and developing relationships with potential customers while outbound prospecting. WHAT YOU'LL DO AT UIPATH - Receiving and responding to sales leads and converting them to new business. - Being able to successfully manage internal relationships is just as important as building external relationships with clients and partners. - A key skill is the ability to develop and nurture regional partners and where necessary, leverage GSIs for executive introductions and relationships. - Maximizing coverage within the defined region and penetrating organizations with UiPath products. - Initiating telephone and email contact with potential prospects from developed web and lead generation lists. - Developing a solid working knowledge of UiPath products and the benefits they provide to potential customers. - Providing support to qualified prospects and customers including follow up, product information, quotations, and closures. - Updating and maintaining the UiPath CRM system, Salesforce. - ‘Tight Operational Command’ and rigor in utilization of our Sales Methodologies as this is the standard lexicon across the GTM teams globally. Thorough understanding of MEDDPICC and CoM from a sales perspective as well as ‘updating CRM’ perspective. Continuing to look for ways of incorporating automation into daily work. - Also, as an employee of UiPath you are required to comply at all times with UiPath’s policies that were communicated to you from time to time and that are available on Inside UiPath. WHAT YOU'LL BRING TO THE TEAM - Important to have a level of emotional intelligence so that you can work effectively with other departments. For example, Deal Hub, Sales Engineering, Customer Success. - Exceptional verbal and written communications skills. - Ability to communicate effectively over the phone with high level decision makers. - Intermediate to advanced knowledge in MS Outlook, Excel, Word, and PowerPoint. - Ability to work self-sufficiently with limited direction in a fast-paced environment; must be a high energy, motivated self-starter. - Ability to adapt to changes in roles and responsibilities. - Experience working with Salesforce and LinkedIn Sales Navigator. - Automation first mindset. Maybe you don’t tick all the boxes above—but still think you’d be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes—and passion can’t be learned. Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office-based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected. We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy https://www.uipath.com/legal/trust-and-security/privacy-policy.

Location: Armenia Workplace: Remote Location: Valencia, Spain, or Brindisi, Italy, or fully remote within Southern & Eastern Europe (teleworking up to 5 days per week) Start date: ASAP Languages: Professional proficiency in English required; Spanish is a plus Industry: Virtualization / IT Infrastructure / IT Services Duration: 6 months, with the possibility of extension based on performance ABOUT THE OPPORTUNITY Pragmatike is hiring a Virtualization Administrator to provide dedicated operational support for a customer’s enterprise virtualization infrastructure, as part of a long-term project. You will help ensure the stability, security, availability, and continuous improvement of the platform. Under the supervision of the IT Infrastructure Team Lead, you will administer, monitor, maintain, optimize, and troubleshoot VMware vSphere and VMware Cloud Foundation (VCF) environments. You will work closely with the storage, backup, network, security, operating-system, application, and service-management teams. You will also support alternative platforms such as Nutanix, Microsoft Hyper-V, and OLVM/KVM as required. This is a hands-on role for someone who is methodical, service-oriented, and quick to learn. You will resolve incidents and requests, implement approved changes, maintain platform health, security, capacity, and lifecycle compliance, and automate routine tasks. You will work independently on assigned operational tasks while following established procedures and change-management controls. Complex, architectural, or high-risk matters are escalated to senior engineers or the Team Lead. WHAT YOU’LL DO - Install, configure, and maintain VMware vSphere and VMware Cloud Foundation (VCF) environments. - Support Nutanix, Hyper-V, and OLVM/KVM environments as required. - Perform VMware lifecycle patching, host updates, and approved configuration changes. - Implement virtualization solutions that meet the customer’s operational needs. - Apply security best practices and maintain compliance with applicable standards. - Monitor the health and performance of virtual machines and hosts. - Tune environments and proactively identify and resolve performance bottlenecks. - Troubleshoot virtualization issues and resolve incidents and problems while minimizing service disruption. - Maintain scripts and tools that streamline administration, provisioning, configuration management, and monitoring. - Keep current with virtualization technologies and assess improvements, including through proof-of-concept deployments. - Work with IT teams, stakeholders, and vendors to plan and deliver virtualization projects under the Team Lead’s guidance. - Provide timely updates on project progress, issues, and resolutions. - Guide junior colleagues in established practices. - Maintain infrastructure and process documentation, and report regularly on platform health, performance, and capacity. - Provide on-call/standby support on a rotation basis. - Provide ad hoc support within or beyond the team, including special projects or temporary service-delivery assignments, as requested. WHAT WE’RE LOOKING FOR - 5+ years of hands-on experience supporting and operating enterprise-grade virtualization infrastructure in production environments. - Proven hands-on experience installing, configuring, administering, and troubleshooting VMware vSphere and VMware Cloud Foundation (VCF). - Experience with VMware VCF, including VCF Operations and VCF Automation core components. - Exposure to alternative virtualization platforms such as Microsoft Hyper-V and KVM. - Strong scripting and automation skills using tools such as Python, PowerShell, Terraform, or Ansible. - Hands-on experience applying Infrastructure as Code (IaC) principles with Terraform to provision and manage virtual infrastructure, particularly VMware vSphere resources. - Proficiency with command-line tools for managing virtualized systems. - Sound understanding of storage, networking, backup, server hardware, and operating-system dependencies. - Methodical troubleshooting skills and the ability to resolve incidents with minimal service disruption. - Ability to follow established procedures and change-management controls. - Secondary school education or equivalent, supplemented by specialized IT training. - Professional proficiency in English, both verbal and written. - Teamwork: builds effective relationships and resolves conflicts constructively. - Communication: communicates clearly, listens actively, and shares information effectively in writing and conversation. - Ability to work inclusively with people of all backgrounds and perspectives. - Self-management: handles pressure and ambiguity, welcomes feedback, and pursues professional growth. - Results focus: takes initiative and delivers high-quality outcomes. - Adaptability: welcomes new ideas and responds positively to change. NICE TO HAVE - Experience with public cloud platforms and storage management in virtualized environments. - Knowledge of container technologies such as Docker and Kubernetes. - Familiarity with configuration-management tools such as Ansible, Puppet, or Chef. - Knowledge of Continuous Data Protection (CDP) solutions. - Knowledge of Spanish. - VMware Certified Professional (VCP-VCF Administrator, VCAP-VCF, or similar). - HashiCorp Certified: Terraform Associate, or a relevant Red Hat Ansible Automation certification. - ITIL, ISO 20000, or PRINCE2 Foundation certifications. WORKING CONDITIONS - Teleworking: up to 5 days per week - On-call: one week per month (rotation depends on the number of team members) - Overtime must be pre-approved by the client Team Leader - Overtime rates: 125% of the daily rate Monday to Saturday, and 150% on Sundays and client public holidays - Stand-by availability for on-call services is included in the daily rate - Interventions during an on-call period are billed at the overtime rates above - Overtime and on-call interventions may alternatively be compensated with time off, if mutually agreed by both parties WHY JOIN US - Work on a long-term project - Flexible setup: on-site in Valencia or Brindisi, or fully remote within Southern & Eastern Europe, with up to 5 days of teleworking per week - Hands-on exposure to VMware VCF, Nutanix, Hyper-V, OLVM/KVM, and Infrastructure as Code with Terraform - Close collaboration with storage, backup, network, and security teams, under the guidance of an experienced Team Lead - Opportunity to grow through certifications, on-the-job learning, and knowledge sharing Pragmatike is committed to a fair, transparent, and inclusive recruitment process. We do not discriminate based on age, disability, gender, gender identity or expression, marital or civil partner status, pregnancy or maternity, race, religion or belief, sex, or sexual orientation. In accordance with GDPR, your personal data will be processed lawfully, fairly, and securely, and used solely for recruitment purposes, including sharing it with our client(s) for employment consideration.

Location: JP - Tokyo, Japan The Pokémon GO team is looking for a Product Marketing Manager, Live Events to lead product marketing for our global portfolio of real-world Pokémon GO experiences, from major tentpole events to scaled live event programs. This role is expected to focus primarily on Live Events across APAC, including Japan, while also supporting Live Events initiatives at the global level. You will combine strategic thinking, creative marketing, cross-functional leadership, and an AI-forward mindset to shape how Pokémon GO live events are positioned, branded, and brought to market. You will translate product, player, and business priorities into compelling reasons for Trainers to participate both in-game and in the real world, while using advanced AI tools to accelerate insights, planning, creative exploration, and execution. You will partner closely with Live Events Production, Game Design, Product Management, Creative, Community, Social, CRM, Communications/PR, Analytics, regional marketing teams, and other cross-functional partners to create and execute go-to-market plans for Pokémon GO live event experiences. You will also collaborate with key external partners to align on strategy, creative, communications, and approvals while maintaining the quality standards expected of Pokémon GO. What You Will Do Lead Live Events marketing strategy. Own the end-to-end product marketing strategy for assigned Pokémon GO live events, defining objectives, audiences, positioning, marketing approach, and go-to-market plans that support player and business goals. Lead marketing within the Live Events team. Partner with Production, Game Design, Product Management, and other cross-functional leaders to help shape event concepts, drive alignment, and connect the in-game and real-world experience. Develop event positioning, branding, and messaging. Translate event concepts, gameplay, player insights, and regional context into clear positioning, value propositions, campaign narratives, naming and messaging frameworks, and player-facing communications. Lead integrated go-to-market planning. Build global marketing plans across web, social, CRM/direct marketing, community, PR, creators, platform partnerships, paid media, and regional channels, aligning teams around key milestones, deliverables, dependencies, and launch readiness. Leverage advanced AI tools and workflows. Use leading AI capabilities to accelerate insight synthesis, strategic planning, campaign ideation, localization support, project workflows, quality control, and performance analysis. Build repeatable AI-enabled processes that improve speed and quality while applying strong judgment around accuracy, confidentiality, IP, brand standards, and human review. Connect the real-world and in-game player experience. Partner closely with Production, Product Management, and Game Design to ensure marketing reflects the full event experience, communicates player value clearly, and creates cohesion across physical and digital touchpoints. Lead creative development. Develop creative briefs and partner with internal creative teams, agencies, regional teams, and external partners to produce campaign concepts, key art, video, digital assets, event branding, and other player-facing materials. Drive cross-functional marketing execution. Coordinate stakeholders across functions and regions, clarify ownership and timelines, identify risks and trade-offs, and keep complex event marketing work moving from concept through post-event learning. Coordinate global and regional marketing. Create strategies that can scale across Pokémon GO live events while enabling regional teams to adapt plans based on local player behavior, cultural insights, market opportunities, and on-the-ground expertise. Partner with external stakeholders. Lead marketing alignment with key brand, licensing, and external partners on positioning, branding, creative, communications, approvals, and major franchise initiatives connected to live events. Own marketing measurement and learning. Establish KPIs and success criteria upfront, partner with Analytics and cross-functional teams to evaluate performance, and turn event and campaign learnings into recommendations for future programs. Prioritize marketing resources and investments. Help direct creative resources, agency support, channel investment, and marketing budgets toward the highest-impact player and business opportunities. Champion the Trainer perspective. Develop a deep understanding of Pokémon GO players, live event attendees, community sentiment, and participation barriers, and bring those insights into event concepting, positioning, go-to-market planning, and marketing decisions. What you will need 5+ years of experience in product marketing, consumer marketing, integrated marketing, live events marketing, entertainment marketing, or related disciplines. Experience developing and executing go-to-market strategies for consumer products, experiences, or live-service businesses, ideally within mobile gaming, entertainment, technology, or location-based experiences. Demonstrated ability to lead complex cross-functional initiatives involving product, creative, marketing, production, regional, and external partner teams. Strong understanding of positioning, messaging, audience segmentation, campaign strategy, brand development, and integrated marketing. Advanced fluency with AI-powered tools and a demonstrated ability to apply them meaningfully to marketing strategy and execution, build efficient workflows, critically evaluate outputs, and use AI responsibly in a brand- and partner-sensitive environment. Experience using player, product, campaign, and/or event data to identify opportunities, establish success metrics, measure performance, and inform future strategy. Strong strategic thinking with the ability to move comfortably from high-level event strategy into hands-on execution. Excellent written, verbal, and presentation skills, with the ability to create clarity, drive alignment, and communicate recommendations to senior stakeholders and external partners. Strong project management and organizational skills, with the ability to operate effectively across overlapping event timelines in a fast-moving live-service environment. Collaborative working style and demonstrated ability to influence without direct authority, navigate trade-offs, and work effectively across tightly integrated cross-functional teams. Business-level proficiency in both English and Japanese is required. Bachelor’s degree or equivalent practical experience. Plus If... You have experience marketing large-scale live events, experiential programs, location-based entertainment, or other real-world consumer experiences. You have marketed mobile or free-to-play games, or worked on a live-service product with a frequent content and event cadence. You have experience building campaigns that connect a digital product experience with an in-person or experiential component. You have worked with global and regional teams and developed marketing strategies across multiple markets and cultures. You have built or scaled AI-enabled marketing workflows, experimentation frameworks, knowledge systems, or creative processes that improved team speed, decision quality, or campaign effectiveness. You have experience partnering directly with Product Management, Game Design, Production, and/or live event teams. You have experience working with major entertainment or licensed IP, especially in highly collaborative approval environments. You understand Pokémon GO, its community, and the broader Pokémon franchise. Experience planning and executing marketing or live-event initiatives with local governments, tourism boards, or other public-sector partners in Japan. Please ensure that the résumé/CV you attach is written in English. ---------------------------------------------------------------------------- 概要 『Pokémon GO』では、世界各地で開催するリアルイベントのプロダクトマーケティングを推進するマネージャーを募集しています。 主に日本を含むAPAC地域のライブイベントを担当し、世界各地のライブイベント施策にも携わります。戦略的思考、クリエイティブなマーケティング、部門横断のリーダーシップ、AIを積極的に活用する姿勢を組み合わせ、『Pokémon GO』のライブイベントの市場における位置付け、ブランディング、市場展開を担います。プロダクト、プレイヤー、事業それぞれの優先事項を踏まえ、プレイヤーがゲーム内と現実世界の両方で参加したくなる魅力を伝えます。また、AIツールを高度に活用することで、インサイトの整理、企画、クリエイティブの検討、施策の実行を加速させます。 ライブイベント制作・運営、ゲームデザイン、プロダクトマネジメント、クリエイティブ、コミュニティ、ソーシャル、ダイレクトマーケティング、広報・PR、データ分析、各地域のマーケティングチームなど、幅広い関係者と連携し、『Pokémon GO』のライブイベントの市場展開計画を策定・実行します。主要な外部パートナーとも協働し、『Pokémon GO』に求められる品質を維持しながら、戦略、クリエイティブ、コミュニケーションに関する合意形成を進めます。 主な業務内容 ライブイベントのマーケティング戦略の策定・推進。 担当する『Pokémon GO』のライブイベントについて、目標、対象者、ポジショニング、マーケティングの方針、市場展開計画を定め、プレイヤーと事業の目標達成に向けてプロダクトマーケティング戦略を一貫して担います。 ライブイベントチームにおけるマーケティングの主導。 制作・運営、ゲームデザイン、プロダクトマネジメントなどの部門責任者と連携し、イベントコンセプトの具体化、関係者間の合意形成、ゲーム内と現実世界の体験の連動を推進します。 イベントのポジショニング・ブランディング・メッセージの開発。 イベントコンセプト、ゲームプレイ、プレイヤーインサイト、各地域の事情を踏まえ、明確なポジショニング、提供価値、キャンペーンのストーリー、ネーミングとメッセージの指針、プレイヤー向けコミュニケーションを設計します。 統合的な市場展開計画の策定。 Web、ソーシャル、CRM・ダイレクトマーケティング、コミュニティ、PR、クリエイター、プラットフォームとの連携、広告など、各地域のマーケティングチャネルを横断するグローバルのマーケティング計画を策定します。主要なマイルストーン、成果物、依存関係、公開・展開に向けた準備状況について、チーム間の認識を揃えます。 高度なAIツールとワークフローの活用。 先進的なAI機能を活用し、インサイトの統合、戦略立案、キャンペーンの発想、ローカライゼーション支援、プロジェクトの進行管理、品質管理、効果分析を効率化します。情報の正確性、機密情報管理、知的財産、ブランド基準、人によるレビューなどの観点で適切に判断しながら、スピードと品質を高める再現可能なAI活用プロセスを構築します。 現実世界とゲーム内のプレイヤー体験の連動。 制作・運営、プロダクトマネジメント、ゲームデザインと密接に連携し、イベント体験全体をマーケティングに反映します。プレイヤーにとっての価値を明確に伝え、リアルとデジタルの各接点で一貫した体験を実現します。 クリエイティブ制作の推進。 クリエイティブブリーフを作成し、社内のクリエイティブチーム、代理店、各地域のチーム、外部パートナーと連携して、キャンペーンコンセプト、キービジュアル、動画、デジタル素材、イベントのブランド表現など、プレイヤー向けの制作物を開発します。 部門横断でのマーケティング施策の実行。 部門や地域をまたぐ関係者を調整し、担当者とスケジュールを明確にします。リスクや両立の難しい課題を把握し、企画段階からイベント終了後の振り返りまで、複雑なイベントマーケティングを着実に進めます。 グローバルと世界各地域のマーケティングの連携。 『Pokémon GO』の複数のライブイベントに展開できる戦略を策定します。同時に、各地域のチームが、現地のプレイヤー行動、文化的なインサイト、市場機会、現場の知見に基づいて計画を調整できるようにします。 外部ステークホルダーとの連携。 主要なブランド・ライセンス関連のパートナーやその他の外部パートナーと、ポジショニング、ブランディング、クリエイティブ、コミュニケーション、承認、ライブイベントに関連するポケモンの主要施策について、マーケティング面の合意形成を主導します。 マーケティングの効果測定と学びの活用。 KPIと成功基準を事前に設定し、分析チームや関係部門と連携して成果を評価します。イベントやキャンペーンから得られた学びを、今後のプログラムの改善提案につなげます。 マーケティングリソースと投資の優先順位付け。 クリエイティブの制作リソース、代理店の支援、チャネルへの投資、マーケティング予算を、プレイヤーと事業に最も大きな効果をもたらす機会へ配分できるよう支援します。 プレイヤーの視点の示唆。 『Pokémon GO』のプレイヤー、ライブイベント参加者、コミュニティの反応、参加の障壁を深く理解し、その知見をイベントの企画、ポジショニング、市場展開計画、マーケティングの意思決定に反映します。 必須要件 プロダクトマーケティング、コンシューマー向けマーケティング、統合マーケティング、ライブイベントマーケティング、エンターテインメントマーケティング、または関連分野での5年以上の実務経験。 コンシューマー向けプロダクト、運用型サービス、または継続運営型ビジネスにおいて、市場展開戦略を策定・実行した経験。特に、モバイルゲーム、エンターテインメント、テクノロジー、位置情報を活用した体験に関する経験が望ましい。 プロダクト、クリエイティブ、マーケティング、制作・運営、各地域のチーム、外部パートナーが関わる、複雑な部門横断の取り組みを主導した実績。 ポジショニング、メッセージ設計、オーディエンスのセグメンテーション、キャンペーン戦略、ブランド開発、統合マーケティングに関する深い理解。 AIツールを高度に使いこなし、マーケティングの戦略・実行に効果的に活用できること。効率的なワークフローを構築し、出力を批判的に検証するとともに、ブランドやパートナーへの配慮が求められる環境で責任を持ってAIを利用できること。 プレイヤー、プロダクト、キャンペーン、イベントに関するデータのいずれか、または複数を活用し、機会の特定、成功指標の設定、成果測定、今後の戦略策定に取り組んだ経験。 高い戦略的思考力を持ち、イベント全体の戦略立案から実務の遂行まで柔軟に対応できること。 優れた文章力、口頭でのコミュニケーション力、プレゼンテーション力を持ち、複雑な内容を明確に整理し、合意形成を進め、経営層を含む社内関係者や外部パートナーに提案を伝えられること。 高いプロジェクト管理能力と業務整理能力を持ち、変化の速いサービス環境で、複数のイベントのスケジュールが重なる状況にも効果的に対応できること。 協調性を持って業務に取り組み、直接の指揮命令権がない関係者にも働きかけ、両立の難しい課題を調整しながら、密接に連携する部門横断チームで成果を上げられること。 英語・日本語の両方で、ビジネスレベルのコミュニケーションができること。 学士号、またはそれに相当する実務経験。 歓迎する要件 大規模なライブイベント、体験型プログラム、位置情報を活用したエンターテインメント、その他のリアルな消費者体験のマーケティング経験。 モバイルゲームや基本プレイ無料ゲームのマーケティング経験、またはコンテンツやイベントが頻繁に更新される　運用型プロダクトでの業務経験。 デジタルのプロダクト体験と、対面または体験型の施策をつなぐキャンペーンを設計した経験。 グローバルおよび各地域のチームと協働し、複数の市場や文化にまたがるマーケティング戦略を策定した経験。 AIを活用したマーケティングワークフロー、実験・検証の仕組み、ナレッジ管理の仕組み、クリエイティブのプロセスを構築・拡張し、チームのスピード、意思決定の質、キャンペーンの効果を高めた経験。 プロダクトマネジメント、ゲームデザイン、制作・運営、ライブイベントのいずれか、または複数のチームと直接連携した経験。 大手エンターテインメントIPやライセンスIPに携わった経験。特に、多くの関係者との連携・承認が必要な環境での経験。 『Pokémon GO』、そのコミュニティ、ポケモン全般に関する理解。 日本の地方自治体、観光局、その他の公的機関と連携し、マーケティング施策やライブイベントを企画・実行した経験。 About Scopely Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play. Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come. Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play. Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit: https://www.scopely.com/ . Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official website and verify that all Talent Partner communications come from an email address ending in @ scopely.com . Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here: California Privacy Notice and EEA/UK Privacy Notice . Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.

Location: JP - Tokyo, Japan The Pokémon GO team is looking for an APAC Localization Manager to lead the localization of all player-facing Pokémon GO communications across APAC. This includes the communications that help players discover, understand, and engage with the game, its content, events, campaigns, and broader brand experience across in-game and external channels. You will own the quality and operational health of this work from intake and prioritization through translation or transcreation, linguistic review, in-context quality assurance, stakeholder approvals, and launch readiness. You will ensure every deliverable is accurate, culturally appropriate, on brand, and ready for its intended market, while bringing clarity and predictability to a fast-moving, multi-language live-service environment. You will partner closely with Product Marketing, Product Management, Game Design, Creative Production, Community, Social, Direct Marketing, Communications, Production, regional teams, and external language partners. You will also use advanced AI tools and thoughtfully designed workflows to improve scale, speed, and consistency, while maintaining rigorous human review, confidentiality, IP standards, and the quality expected of Pokémon GO. What you will do Lead APAC localization strategy and operations. Own the end-to-end localization program for all player-facing Pokémon GO communications in APAC. Define how work is scoped, prioritized, resourced, routed, reviewed, approved, and delivered across languages and markets. Own localization quality. Set and uphold standards for linguistic accuracy, terminology, tone of voice, cultural relevance, brand consistency, and in-context quality. Ensure localized communications faithfully convey player value while feeling natural and appropriate in each market. Manage the localization lifecycle. Drive projects from early intake and source-readiness through translation or transcreation, review, linguistic QA, stakeholder approvals, final delivery, and post-launch follow-up. Maintain clear ownership, timing, dependencies, and escalation paths throughout. Partner with global and regional stakeholders. Work closely with Product Marketing, Product Management, Game Design, Creative Production, Community, Social, Direct Marketing, Communications, Production, regional teams to plan localization early, clarify requirements, and ensure localized materials are ready for each market's launch. Enable culturally relevant communications. Bring a strong understanding of APAC market and language contexts into planning and review. Identify when direct translation is insufficient and guide appropriate transcreation, adaptation, or market-specific considerations without losing the intent of the global communication. Manage language partners and resources. Oversee external localization vendors, linguists, reviewers, and other partners. Set clear briefs and expectations, monitor quality and delivery performance, resolve issues quickly, and help allocate resources across overlapping priorities. Build scalable localization systems. Create and maintain the glossaries, style guides, reference materials, workflow documentation, QA processes, and knowledge systems that make localization more consistent, efficient, and resilient as the business scales. Improve process visibility and launch readiness. Establish practical tracking and reporting for localization status, blockers, missing inputs, unresolved quality issues, owners, and release risk. Give stakeholders a clear view of readiness and help teams make timely decisions. Leverage advanced AI tools and workflows. Use approved AI capabilities to accelerate content analysis, terminology and consistency checks, workflow coordination, quality control, knowledge management, and other high-friction tasks. Build repeatable AI-enabled processes while applying sound judgment around accuracy, confidentiality, IP, brand standards, and human review. Drive continuous quality improvement. Analyze recurring issues, root causes, vendor performance, and stakeholder feedback. Turn learnings into concrete process, tooling, and training improvements that reduce avoidable errors and improve both quality and speed. Coordinate approvals and protect the brand. Ensure localization work follows relevant brand, legal, licensing, and approval requirements. Partner with internal and external stakeholders to surface risks early and maintain the standards expected in a highly collaborative IP environment. Support broader office operations and cross-functional administrative needs. Contribute to occasional cross-functional operational initiatives in the Tokyo office, including support related to Legal, Procurement, Partnerships, and other business functions as needed. What you will need 2+ years of experience in localization program management, international content operations, marketing communications localization, or related disciplines. Experience managing end-to-end localization workflows for multiple languages and markets, including intake, translation or transcreation, review, linguistic QA, approvals, and delivery. Experience supporting consumer-facing communications in a fast-moving environment, ideally within mobile gaming, live-service products, entertainment, technology, or another global digital business. Demonstrated ability to lead complex cross-functional programs involving global and regional teams, product and marketing stakeholders, creative partners, and external vendors. Strong command of localization quality practices, including linguistic accuracy, terminology management, style guidance, cultural adaptation, and in-context validation. Experience managing localization vendors, freelancers, or language-service partners, with the ability to set clear expectations, assess quality, and resolve delivery issues constructively. Hands-on experience using AI-powered tools to improve localization operations, quality assurance, workflow efficiency, or knowledge management, together with sound judgment around accuracy, confidentiality, IP, brand standards, and human review. Excellent project management and organizational skills, with the ability to manage overlapping launches, identify risks early, and create clarity across multiple dependencies and stakeholders. Strong written, verbal, and presentation skills, with the ability to communicate precise recommendations and influence decisions without direct authority. Business-level proficiency in both English and Japanese is required. Fluency in every APAC language is not required; success in this role depends on building reliable localization, review, and quality-management systems with language experts and regional partners. Bachelor's degree or equivalent practical experience. Plus if You have worked on a mobile, free-to-play, or live-service game with a frequent content and event cadence. You have experience managing localization across multiple APAC languages and markets, including Japan. You have worked with a translation management system, CAT tools, localization QA tools, or workflow and asset-management platforms. You have built or scaled glossaries, style guides, linguistic asset libraries, quality frameworks, or knowledge systems that improved consistency and efficiency. You have built or scaled AI-enabled localization workflows, automation, or quality-control processes that improved team speed, decision quality, or error prevention. You have experience working with major entertainment or licensed IP, especially in highly collaborative approval environments. You understand Pokémon GO, its community, and the broader Pokémon franchise. You have additional proficiency in one or more APAC languages. ------------------------------------------------ 概要 『Pokémon GO』では、APAC地域におけるプレイヤー向けコミュニケーションのローカライゼーションを推進するマネージャーを募集しています。ゲーム内外のチャネルを通じ、プレイヤーがゲームやそのコンテンツ、イベント、キャンペーン、さらにはブランド全体の体験に出会い、理解を深め、楽しむためのコミュニケーションを担当します。 ローカライズの優先順位付けから、翻訳・トランスクリエーション（意図や魅力を各市場に合わせて再表現すること）、言語レビュー、実際の表示・利用場面に即した品質確認、関係者の承認、公開準備まで、品質と業務運営の健全性に責任を持ちます。変化が速く、多言語で継続運営する環境において、各成果物の正確性、文化的な適切さ、ブランドとの整合性、対象市場での公開準備を確保するとともに、業務の見通しと予測可能性を高めます。 プロダクトマーケティング、プロダクトマネジメント、ゲームデザイン、クリエイティブ制作、コミュニティ、ソーシャル、ダイレクトマーケティング、広報、開発、各地域のチーム、外部の言語パートナーと密接に連携します。また、高度なAIツールと適切に設計したワークフローを活用し、厳格な人によるレビュー、機密情報の保護、知的財産に関する基準、『Pokémon GO』に求められる品質を維持しながら、業務の拡張性、スピード、一貫性を高めます。 主な業務内容 APACのローカライゼーション戦略と運用の推進。 APACにおける『Pokémon GO』のプレイヤー向けコミュニケーションについて、ローカライゼーションの全工程を担います。言語・市場を横断して、業務範囲、優先順位、リソース配分、作業の振り分け、レビュー、承認、納品の進め方を定めます。 ローカライゼーション品質の管理。 言語的な正確性、用語、トーン・オブ・ボイス、文化的な適切さ、ブランドの一貫性、実際の表示・利用場面での品質について、基準を設定・維持します。プレイヤーにとっての価値を忠実に伝えながら、各市場で自然かつ適切に受け止められるコミュニケーションを実現します。 ローカライゼーションの全工程の管理。 初期の依頼受付と原文の準備確認から、翻訳・トランスクリエーション、レビュー、言語品質確認、関係者の承認、最終納品、公開後のフォローアップまで、プロジェクトを推進します。全工程を通じて、担当者、スケジュール、依存関係、問題の報告・判断依頼先を明確に保ちます。 グローバルおよび各地域の関係者との連携。 プロダクトマーケティング、プロダクトマネジメント、ゲームデザイン、クリエイティブ制作、コミュニティ、ソーシャル、ダイレクトマーケティング、広報、制作・運営、各地域のチームと密接に協働します。早い段階からローカライゼーションを計画し、要件を明確にして、各市場の公開時期に合わせて制作物を準備します。 各市場の文化に即したコミュニケーションの実現。 APACの市場や言語の背景に関する深い理解を、企画やレビューに反映します。直訳では十分に伝わらない箇所を見極め、グローバルのコミュニケーションの意図を保ちながら、トランスクリエーション、表現の調整、市場固有の事情への対応を導きます。 言語パートナーとリソースの管理。 外部のローカライゼーション会社、言語専門家、レビュアー、その他のパートナーを管理します。依頼内容と期待水準を明確にし、品質と納期の実績を確認して、問題を迅速に解決するとともに、優先事項が重なる状況でのリソース配分を支援します。 拡張性のあるローカライゼーションの仕組みの構築。 用語集、スタイルガイド、参照資料、ワークフロー文書、品質確認プロセス、ナレッジ管理の仕組みを整備・維持します。事業の拡大に伴っても、一貫性、効率性、安定性を保てる体制を築きます。 進捗の可視化と公開準備の改善。 ローカライゼーションの進捗、作業を妨げる要因、不足情報、未解決の品質課題、担当者、公開に伴うリスクを、実用的な方法で管理・報告します。関係者が準備状況を明確に把握し、適切なタイミングで判断できるよう支援します。 高度なAIツールとワークフローの活用。 承認されたAI機能を活用し、コンテンツ分析、用語・一貫性の確認、ワークフローの調整、品質管理、ナレッジ管理など、手間のかかる業務を効率化します。正確性、機密情報、知的財産、ブランド基準、人によるレビューについて適切に判断しながら、再利用可能なAI活用プロセスを構築します。 継続的な品質改善の推進。 繰り返し発生する問題、その根本原因、ベンダーの実績、関係者からのフィードバックを分析します。得られた学びを、プロセス、ツール、研修の具体的な改善につなげ、回避できるミスを減らし、品質とスピードの両方を高めます。 承認プロセスの調整とブランドの保護。 ローカライゼーション業務が、ブランド、法務、ライセンス、承認に関する要件に沿って進むよう管理します。社内外の関係者と連携してリスクを早期に把握し、多くの関係者との協働が求められるIP関連業務の品質基準を維持します。 オフィス運営および部門横断の事務・業務支援。 必要に応じて、東京オフィスで随時発生する部門横断の業務運営施策に参加し、法務、購買、パートナーシップ、その他の事業部門に関する業務を支援します。 必須要件 ローカライゼーションのプログラム管理、国際的なコンテンツ運用、マーケティングコミュニケーションのローカライゼーション、または関連分野での2年以上の実務経験。 複数の言語・市場を対象に、依頼受付、翻訳・トランスクリエーション、レビュー、言語品質確認、承認、納品まで、ローカライゼーションの全工程を管理した経験。 変化の速い環境で、消費者向けコミュニケーションを支援した経験。特に、モバイルゲーム、ライブサービス型プロダクト、エンターテインメント、テクノロジー、その他のグローバルなデジタルビジネスでの経験が望ましい。 グローバルおよび各地域のチーム、プロダクト・マーケティングの関係者、クリエイティブパートナー、外部ベンダーが関わる、複雑な部門横断のプログラムを主導できること。 言語的な正確性、用語管理、スタイルガイドの運用、文化に応じた表現の調整、実際の表示・利用場面での確認など、ローカライゼーションの品質管理に関する確かな知識と実践力。 ローカライゼーション会社、フリーランス、言語サービスのパートナーを管理した経験。期待水準を明確に設定し、品質を評価し、納品に関する問題を建設的に解決できること。 AIツールを実務で活用し、ローカライゼーション運用、品質保証、ワークフローの効率化、ナレッジ管理のいずれかを改善した経験。あわせて、正確性、機密情報、知的財産、ブランド基準、人によるレビューについて適切に判断できること。 優れたプロジェクト管理能力と業務整理能力を持ち、複数の公開案件を並行して管理し、リスクを早期に見つけ、多くの依存関係や関係者を整理できること。 高い文章力、口頭でのコミュニケーション力、プレゼンテーション力を持ち、的確な提案を伝え、直接の指揮命令権がない関係者の意思決定にも働きかけられること。 英語・日本語の両方で、ビジネスレベルのコミュニケーションができること。APACのすべての言語に堪能である必要はありません。言語専門家や各地域のパートナーとともに、信頼できるローカライゼーション、レビュー、品質管理の仕組みを構築する力を重視します。 学士号、またはそれに相当する実務経験。 歓迎する要件 コンテンツやイベントが頻繁に更新される、モバイルゲーム、基本プレイ無料ゲーム、ライブサービス型ゲームでの業務経験。 日本を含むAPACの複数言語・市場にまたがるローカライゼーションの管理経験。 翻訳管理システム、翻訳支援ツール、ローカライゼーション品質確認ツール、ワークフロー・アセット管理プラットフォームの利用経験。 用語集、スタイルガイド、言語資産ライブラリ、品質管理の枠組み、ナレッジ管理の仕組みを構築・拡張し、一貫性や効率性を高めた経験。 AIを活用したローカライゼーションワークフロー、自動化、品質管理プロセスを構築・拡張し、チームのスピード、意思決定の質、ミスの予防を改善した経験。 大手エンターテインメントIPやライセンスIPに携わった経験。特に、多くの関係者との連携・承認が必要な環境での経験。 『Pokémon GO』、そのコミュニティ、ポケモン全般に関する理解。 日本語・英語に加え、APACの1つ以上の言語でコミュニケーションができること。 About Scopely Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play. Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come. Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play. Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit: https://www.scopely.com/ . Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official website and verify that all Talent Partner communications come from an email address ending in @ scopely.com . Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here: California Privacy Notice and EEA/UK Privacy Notice . Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.

Location: Thailand Libertex Group Overview Established in 1997, the Libertex Group is an international powerhouse with over 29 years of financial markets expertise. Over the years, the Libertex Group has helped shape the online trading industry by merging together innovative technology, market movements and digital trends. This was made possible with the introduction of ‘Libertex’, the multi-awarded online trading platform with which anyone can access the market and invest in stocks or trade CFDs with underlying assets being commodities, Forex, ETFs, cryptocurrencies, and others. A firm believer in the power of sports to inspire, empower and push for success, Libertex is the Official Online Trading Partner of Audi Revolut F1® Team. The Libertex Group in Numbers: • 29+ years of fintech experience • 3M+ clients worldwide • 700+ employees • 45+ international awards (for Libertex) • 300+ tradable assets (through Libertex) The Libertex Group is constantly driven by a single passionate purpose – to tirelessly work on developing amazing fintech for people who simply want to have ‘more’ in their lives. Job Overview We are looking for a talented Social Media Specialist to join our team and become the voice of Libertex Group brands across Thailand. In this role, you will bring campaigns and creative ideas to life across Thai-language social media channels, creating engaging content that resonates with traders, fosters community engagement, and strengthens our brand presence. You will manage content across platforms including Facebook, Instagram, YouTube, and TikTok, ensuring all communications align with our brand identity and compliance standards. Main Responsibilities Report directly to the Social Media Team Lead, providing regular updates on content performance, campaign execution, and market-specific initiatives in Thailand. Manage and grow our social media presence across relevant platforms in Thailand, including Facebook, Instagram, TikTok and YouTube executing content strategies defined by the Team Lead. Create and publish engaging content tailored to Thai audiences, including short-form videos, YouTube videos, carousels, stories, educational posts, and other platform-specific formats in Thai. Develop and maintain a monthly content calendar aligned with Thai public holidays, local events, product launches, F1 moments, and regional trading trends. Collaborate with affiliate and partner teams to develop co-branded campaigns and shareable content assets tailored to the Thai market. Monitor Thai trading communities, social media groups, forums, and relevant fintech platforms to identify engagement opportunities, emerging trends, and opportunities for organic community growth. Ensure all content complies with internal brand guidelines, local regulatory requirements, and compliance approval processes before publication. Track, analyze, and report monthly social media performance, including follower growth, reach, engagement, content effectiveness, and other relevant KPIs. Adapt global campaigns and creative assets to Thailand’s cultural context, language, audience preferences, and local market dynamics in coordination with the Team Lead. Stay up to date with social media trends, platform algorithm changes, emerging content formats, and relevant developments in Thailand’s digital and trading communities. Coordinate with designers, motion designers and other internal stakeholders to ensure the timely delivery of high-quality, market-relevant creative assets. Manage day-to-day community engagement by responding to comments and messages in Thai, addressing audience questions, escalating customer issues when necessary, and fostering positive interactions across social channels. Identify opportunities to strengthen local brand awareness, increase audience engagement, and build an active and trusted social media community in Thailand. Requirements Degree in Marketing, Social Media or any other relevant field. At least 4 years of social media and content experience, preferably in financial services, fintech, crypto, or another trust-sensitive category Strong understanding of how retail traders consume content in Thailand/Asia Ability to work under a creative brief and execute with consistency across platforms without needing to reinvent direction with every post Familiarity with compliance review processes for financial content Excellent command of English and Thai language Demonstrated track record of growing a brand audience in a category where trust is earned slowly and lost quickly Benefits 10 working days of annual leave Work remotely whilst being part of a global team Udemy Business unlimited membership Professional and personal development opportunities in a fast-growing environment Libertex Group is an equal opportunity employer, fostering an inclusive and diverse environment. We do not discriminate based on any characteristic protected by the law. Candidate privacy is respected, and all data is securely stored and used solely for recruitment purposes, in line with GDPR and our internal policies. Unsuccessful applicants may have their data retained for future opportunities unless deletion is requested.

Location: India; Australia; Japan; Singapore; Philippines; New Zealand About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking a highly skilled Machine Learning Research & Engineering Specialist to contribute to an advanced AI training project focused on model development, training and inference systems, numerical computing, and performance optimization. This is a coding-intensive role requiring hands-on experience with Python, machine learning engineering, and coding agents integrated into development workflows. You will build, modify, debug, and validate machine learning implementations, create reproducible training and inference pipelines, and optimize systems for correctness, memory usage, and throughput. The ideal candidate combines strong quantitative foundations with practical coding skills and experience solving complex machine learning engineering problems. SENIORITY: Experienced / Research-Level Engineer EDUCATION: Master's degree or PhD in a relevant quantitative discipline LANGUAGE: Strong written and verbal English LOCATION: Remote — Worldwide Key Responsibilities Develop, implement, and validate machine learning models, training pipelines, inference systems, and supporting infrastructure. Implement or modify model components, data pipelines, evaluation systems, and numerical methods using Python. Build reproducible programmatic workflows using Python, command-line tools, and relevant machine learning frameworks. Debug numerical, algorithmic, and system-level failures to identify root causes and implement reliable solutions. Optimize model training and inference for memory usage, computational efficiency, throughput, and performance. Design and execute tests to verify implementation correctness and compliance with objective performance requirements. Review and validate challenging machine learning engineering tasks, including existing code and proposed solutions. Use coding agents as part of the development workflow to accelerate implementation, debugging, testing, and code review while validating generated results. Document technical approaches, implementation decisions, test results, and performance findings clearly. Deliver high-quality, reproducible task submissions within project deadlines. Requirements Master's degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, Statistics, Engineering, or a closely related quantitative discipline. Strong professional or research experience in machine learning and practical ML engineering. Strong Python programming skills, including the ability to implement, debug, test, and optimize non-trivial code. Hands-on experience using coding agents within a Python development workflow. Understanding of machine learning model development, training and inference workflows, and evaluation methods. Ability to build reproducible implementations and verify correctness through systematic testing. Strong quantitative reasoning and problem-solving skills, particularly when diagnosing numerical or computational issues. Ability to work independently, manage technical tasks, and meet defined quality and submission requirements. Strong written communication skills and the ability to explain technical findings. Availability to contribute approximately 15 hours per week and begin the first task within 24–48 hours after onboarding.

Location: San Francisco; New York Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE Every agent on Baseten Sandboxes gets its own microVM, where it writes and runs code, calls tools, and keeps state across long tasks. Agents pause and resume constantly, so the machine underneath has to start, stop, snapshot, fork, and resume fast, and keep every tenant isolated while it does. General-purpose virtualization was not built for that workload. The Agent Infra team builds that layer. Sandboxes run in microVMs with custom Linux kernels on bare-metal servers we operate. You'll own how sandboxes start, stop, snapshot, fork, and resume, and how they perform on each host's CPU and memory, down to the hardware. You'll also own the guest and host side of each sandbox: its identity, how it attaches to different storage classes for performance or capabilities, and the virtual devices that connect it securely to the network. In September 2026, Baseten acquired Blaxel https://www.baseten.co/blog/blaxel-is-joining-baseten-to-build-the-future-of-agentic-cloud/, whose microVM sandboxes are the foundation for Baseten Sandboxes https://docs.baseten.co/sandboxes. We are building a cloud, not just using one. That means designing for many tenants from day one and thinking through what each decision means all the way down to the datacenter. The team is small and ownership is big: we ship in weeks and months, not multi-year programs. If you've worked deep in KVM and Firecracker, Cloud Hypervisor, or QEMU and want to build the computers AI agents run on, we'd love to talk. EXAMPLE INITIATIVES - Blaxel is joining Baseten to build the future of agentic infrastructure https://www.baseten.co/blog/blaxel-is-joining-baseten-to-build-the-future-of-agentic-cloud/ - Securing the open frontier with NVIDIA OpenShell and Blaxel sandboxes https://www.baseten.co/blog/announcing-carbon/ - Baseten Sandboxes documentation https://docs.baseten.co/sandboxes RESPONSIBILITIES - Own the microVM lifecycle for agent sandboxes: start, stop, suspend, resume, snapshot, and fork - Build and tune the custom guest kernels sandboxes run on - Tune host CPU and memory configuration so sandboxes run fast and safely on each type of hardware we operate - Manage host-level resources and sandbox density on each machine - Own startup and resume performance end to end, from VM boot or snapshot restore to the first command - Own the guest and host side of each sandbox: its identity, how it attaches to storage, and the virtual devices that connect it to the network - Design isolation for multi-tenant workloads where the hypervisor is the security boundary - Debug virtualization and isolation issues at scale, from userspace through the kernel to the hardware - Contribute architecture decisions and code back to the open-source projects we build on REQUIREMENTS - Hands-on experience with KVM, plus Firecracker, Cloud Hypervisor, or QEMU - Deep understanding of Linux internals: namespaces, cgroups, memory management, and the boot path - Experience building cloud infrastructure as the provider (multi-tenant compute that customers run on), not only running workloads on a cloud provider - Experience building multi-tenant infrastructure where isolation is a security boundary - Strong systems programming background in Rust and/or Go; C/C++ also welcome - Experience debugging performance and correctness problems across userspace and kernel boundaries - You move fast and like owning a problem end to end on a small team NICE TO HAVE - Contributions to KVM, Firecracker, Cloud Hypervisor, QEMU, rust-vmm, or the Linux kernel - Experience with Xen - Working knowledge of container runtimes and sandboxing (containerd, runc, gVisor, Kata Containers) - Experience with VM snapshot and restore, fast VM resume, or building and tuning custom Linux kernels - Experience running virtualization on bare metal and tuning for specific CPU and memory architectures - Experience building a sandbox, serverless, or function runtime product - Familiarity with Linux performance tooling such as eBPF, perf, and ftrace BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: Cairo, Egypt Workplace: hybrid inDrive runs many ML models across 48 countries, and the platform under them is growing fast. Teams ship to Databricks, SageMaker and self-managed GPU inference, and LLM workloads are moving into production. We are hiring a Backend Engineer to build and run the services and tooling that ML teams depend on. You will write production-grade Go and Python, own your services from design to on-call, and learn the MLOps stack (Terraform, Kubernetes, Databricks, SageMaker) on the job. You will work with data scientists, ML engineers, and software and data engineers. Key Responsibilities Design, build and run backend services and internal tooling for the ML platform, in Go and Python, and own them in production: delivery, monitoring, on-call. Drive technical research and design for new platform features. Weigh trade-offs and write them down. Build and extend the deployment tooling and SDKs ML teams use to ship models, including serving, autoscaling and data capture. Integrate ML services with the wider backend: sync (HTTP, gRPC) and async (Kafka, RabbitMQ) communication, built for reliability under high load. Support the full ML delivery cycle with data scientists and ML engineers: CI/CD for models and pipelines, monitoring, and model performance metrics. Build observability end to end: metrics, logs, dashboards, tracing, alerting and runbooks. Write infrastructure as code with Terraform and Terragrunt, and ship it through reviewed pull requests. Take part in code and design reviews and help raise the engineering bar. Mentor engineers and hold AI-generated changes to the same review standard as human ones. Skills, Knowledge and Expertise 3+ years of commercial backend engineering, including high-load systems. Strong Go: you know and have used its advanced features in production. Solid Python for data processing (batch, streaming and async) and for service code. Strong SQL: schema design, indexes, query optimisation, and scaling approaches such as replication and partitioning. Experience with Redis or similar key-value stores. Experience with sync and async service communication (HTTP, gRPC, Kafka or RabbitMQ), with a focus on reliability. Docker, CI/CD pipelines, and working Kubernetes knowledge. Experience with AWS/GCP core services (compute, storage, networking, IAM). Understanding of the ML lifecycle: data preparation, model performance metrics, non-functional requirements, and concept drift in production. Familiarity with scikit-learn, PyTorch/TensorFlow. Experience designing and running observability: metrics, logging, dashboards, tracing (Prometheus, Grafana, ELK or similar). Git workflows and code review, comfortable Linux command line, and networking basics (TCP/IP, DNS, VPC, load balancers). Ability to explain a trade-off clearly to a data scientist, a product owner and an on-call engineer. Nice to have: Hands-on experience with MLOps tooling: Databricks (Unity Catalog, Asset Bundles), SageMaker, Kubeflow, MLflow or Airflow. GPU or LLM inference experience (vLLM, Triton, Langfuse). Experience using AI coding agents with full review of generated changes. Experience in emerging markets, or building where there is no playbook yet. Experience with Infrastructure-as-Code (IaC) tools Why join us Real scale and real constraints: models serving a global fleet, GPU budgets that matter, LLM workloads reaching production. A strong backend engineer can grow into the MLOps domain here. We will teach you the platform side; you bring the engineering craft. Help us challenge injustice by creating fair choices for millions of people across 48 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

Location: Islamabad, Pakistan Workplace: hybrid inDrive runs many ML models across 48 countries, and the platform under them is growing fast. Teams ship to Databricks, SageMaker and self-managed GPU inference, and LLM workloads are moving into production. We are hiring a Backend Engineer to build and run the services and tooling that ML teams depend on. You will write production-grade Go and Python, own your services from design to on-call, and learn the MLOps stack (Terraform, Kubernetes, Databricks, SageMaker) on the job. You will work with data scientists, ML engineers, and software and data engineers. Key Responsibilities Design, build and run backend services and internal tooling for the ML platform, in Go and Python, and own them in production: delivery, monitoring, on-call. Drive technical research and design for new platform features. Weigh trade-offs and write them down. Build and extend the deployment tooling and SDKs ML teams use to ship models, including serving, autoscaling and data capture. Integrate ML services with the wider backend: sync (HTTP, gRPC) and async (Kafka, RabbitMQ) communication, built for reliability under high load. Support the full ML delivery cycle with data scientists and ML engineers: CI/CD for models and pipelines, monitoring, and model performance metrics. Build observability end to end: metrics, logs, dashboards, tracing, alerting and runbooks. Write infrastructure as code with Terraform and Terragrunt, and ship it through reviewed pull requests. Take part in code and design reviews and help raise the engineering bar. Mentor engineers and hold AI-generated changes to the same review standard as human ones. Skills, Knowledge and Expertise 3+ years of commercial backend engineering, including high-load systems. Strong Go: you know and have used its advanced features in production. Solid Python for data processing (batch, streaming and async) and for service code. Strong SQL: schema design, indexes, query optimisation, and scaling approaches such as replication and partitioning. Experience with Redis or similar key-value stores. Experience with sync and async service communication (HTTP, gRPC, Kafka or RabbitMQ), with a focus on reliability. Docker, CI/CD pipelines, and working Kubernetes knowledge. Experience with AWS/GCP core services (compute, storage, networking, IAM). Understanding of the ML lifecycle: data preparation, model performance metrics, non-functional requirements, and concept drift in production. Familiarity with scikit-learn, PyTorch/TensorFlow. Experience designing and running observability: metrics, logging, dashboards, tracing (Prometheus, Grafana, ELK or similar). Git workflows and code review, comfortable Linux command line, and networking basics (TCP/IP, DNS, VPC, load balancers). Ability to explain a trade-off clearly to a data scientist, a product owner and an on-call engineer. Nice to have: Hands-on experience with MLOps tooling: Databricks (Unity Catalog, Asset Bundles), SageMaker, Kubeflow, MLflow or Airflow. GPU or LLM inference experience (vLLM, Triton, Langfuse). Experience using AI coding agents with full review of generated changes. Experience in emerging markets, or building where there is no playbook yet. Experience with Infrastructure-as-Code (IaC) tools Why join us Real scale and real constraints: models serving a global fleet, GPU budgets that matter, LLM workloads reaching production. A strong backend engineer can grow into the MLOps domain here. We will teach you the platform side; you bring the engineering craft. Help us challenge injustice by creating fair choices for millions of people across 48 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

Location: Almaty, Kazakhstan Workplace: hybrid inDrive runs many ML models across 48 countries, and the platform under them is growing fast. Teams ship to Databricks, SageMaker and self-managed GPU inference, and LLM workloads are moving into production. We are hiring a Backend Engineer to build and run the services and tooling that ML teams depend on. You will write production-grade Go and Python, own your services from design to on-call, and learn the MLOps stack (Terraform, Kubernetes, Databricks, SageMaker) on the job. You will work with data scientists, ML engineers, and software and data engineers. Key Responsibilities Design, build and run backend services and internal tooling for the ML platform, in Go and Python, and own them in production: delivery, monitoring, on-call. Drive technical research and design for new platform features. Weigh trade-offs and write them down. Build and extend the deployment tooling and SDKs ML teams use to ship models, including serving, autoscaling and data capture. Integrate ML services with the wider backend: sync (HTTP, gRPC) and async (Kafka, RabbitMQ) communication, built for reliability under high load. Support the full ML delivery cycle with data scientists and ML engineers: CI/CD for models and pipelines, monitoring, and model performance metrics. Build observability end to end: metrics, logs, dashboards, tracing, alerting and runbooks. Write infrastructure as code with Terraform and Terragrunt, and ship it through reviewed pull requests. Take part in code and design reviews and help raise the engineering bar. Mentor engineers and hold AI-generated changes to the same review standard as human ones. Skills, Knowledge and Expertise 3+ years of commercial backend engineering, including high-load systems. Strong Go: you know and have used its advanced features in production. Solid Python for data processing (batch, streaming and async) and for service code. Strong SQL: schema design, indexes, query optimisation, and scaling approaches such as replication and partitioning. Experience with Redis or similar key-value stores. Experience with sync and async service communication (HTTP, gRPC, Kafka or RabbitMQ), with a focus on reliability. Docker, CI/CD pipelines, and working Kubernetes knowledge. Experience with AWS/GCP core services (compute, storage, networking, IAM). Understanding of the ML lifecycle: data preparation, model performance metrics, non-functional requirements, and concept drift in production. Familiarity with scikit-learn, PyTorch/TensorFlow. Experience designing and running observability: metrics, logging, dashboards, tracing (Prometheus, Grafana, ELK or similar). Git workflows and code review, comfortable Linux command line, and networking basics (TCP/IP, DNS, VPC, load balancers). Ability to explain a trade-off clearly to a data scientist, a product owner and an on-call engineer. Nice to have: Hands-on experience with MLOps tooling: Databricks (Unity Catalog, Asset Bundles), SageMaker, Kubeflow, MLflow or Airflow. GPU or LLM inference experience (vLLM, Triton, Langfuse). Experience using AI coding agents with full review of generated changes. Experience in emerging markets, or building where there is no playbook yet. Experience with Infrastructure-as-Code (IaC) tools Why join us Real scale and real constraints: models serving a global fleet, GPU budgets that matter, LLM workloads reaching production. A strong backend engineer can grow into the MLOps domain here. We will teach you the platform side; you bring the engineering craft. Help us challenge injustice by creating fair choices for millions of people across 48 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

Location: Limassol, Cyprus Workplace: hybrid inDrive runs many ML models across 48 countries, and the platform under them is growing fast. Teams ship to Databricks, SageMaker and self-managed GPU inference, and LLM workloads are moving into production. We are hiring a Backend Engineer to build and run the services and tooling that ML teams depend on. You will write production-grade Go and Python, own your services from design to on-call, and learn the MLOps stack (Terraform, Kubernetes, Databricks, SageMaker) on the job. You will work with data scientists, ML engineers, and software and data engineers. Key Responsibilities Design, build and run backend services and internal tooling for the ML platform, in Go and Python, and own them in production: delivery, monitoring, on-call. Drive technical research and design for new platform features. Weigh trade-offs and write them down. Build and extend the deployment tooling and SDKs ML teams use to ship models, including serving, autoscaling and data capture. Integrate ML services with the wider backend: sync (HTTP, gRPC) and async (Kafka, RabbitMQ) communication, built for reliability under high load. Support the full ML delivery cycle with data scientists and ML engineers: CI/CD for models and pipelines, monitoring, and model performance metrics. Build observability end to end: metrics, logs, dashboards, tracing, alerting and runbooks. Write infrastructure as code with Terraform and Terragrunt, and ship it through reviewed pull requests. Take part in code and design reviews and help raise the engineering bar. Mentor engineers and hold AI-generated changes to the same review standard as human ones. Skills, Knowledge and Expertise 3+ years of commercial backend engineering, including high-load systems. Strong Go: you know and have used its advanced features in production. Solid Python for data processing (batch, streaming and async) and for service code. Strong SQL: schema design, indexes, query optimisation, and scaling approaches such as replication and partitioning. Experience with Redis or similar key-value stores. Experience with sync and async service communication (HTTP, gRPC, Kafka or RabbitMQ), with a focus on reliability. Docker, CI/CD pipelines, and working Kubernetes knowledge. Experience with AWS/GCP core services (compute, storage, networking, IAM). Understanding of the ML lifecycle: data preparation, model performance metrics, non-functional requirements, and concept drift in production. Familiarity with scikit-learn, PyTorch/TensorFlow. Experience designing and running observability: metrics, logging, dashboards, tracing (Prometheus, Grafana, ELK or similar). Git workflows and code review, comfortable Linux command line, and networking basics (TCP/IP, DNS, VPC, load balancers). Ability to explain a trade-off clearly to a data scientist, a product owner and an on-call engineer. Nice to have: Hands-on experience with MLOps tooling: Databricks (Unity Catalog, Asset Bundles), SageMaker, Kubeflow, MLflow or Airflow. GPU or LLM inference experience (vLLM, Triton, Langfuse). Experience using AI coding agents with full review of generated changes. Experience in emerging markets, or building where there is no playbook yet. Experience with Infrastructure-as-Code (IaC) tools Why join us Help us challenge injustice by creating fair choices for millions of people across in 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Annual salary starting from 59 200 EUR gross Final benefits may vary depending on the location.