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Location: İstanbul, Türkiye Workplace: fully TradingView is the world’s largest financial analysis platform with more than 100M users across 180+ countries. We build tools that help traders and investors make informed decisions — from advanced charting and market data to collaboration and publishing features. Our products are used daily by millions of individuals and trusted by companies like Revolut, Binance, and CME Group. We’re continuing to grow and scale our platform, and we’re looking for people who care about product quality, take ownership of their work, and want to build systems used by a global audience. About the team Our mission is to drive the growth and adoption of our B2B products across high-growth global markets. We don’t just manage accounts; we build strategic alliances with financial institutions, master the full sales lifecycle, and foster our clients' long-term success. To fuel our next phase of expansion, we are looking for a dynamic, results-driven Growth Manager proficiency in English and Turkish. As a Growth Manager, you will serve as a trusted partner to our institutional clients within your target region. You will be responsible for driving product adoption, managing complex B2B sales lifecycles, fostering deep market relationships, and unlocking new revenue streams to scale our impact in these strategic areas. Responsibilities As a Growth Manager and key member of our Partnerships team , you will serve as a trusted partner to our clients within your target region. You will develop strategic alliances, drive our business goals, and collaborate closely with TradingView customers—leading them through technical onboarding and fostering strong, long-lasting relationships. Proactively develop outbound client pipelines while efficiently managing inbound client partnership requests. Approach partnerships with a consultative mindset, crafting tailored proposals and high-impact pitches for financial institutions. Lead clients through technical onboarding and review/proofread technical team responses to ensure seamless, client-friendly communication. Actively collect customer insights and share key findings with internal teams to drive product optimization. Own a rigorous ‘test and learn’ methodology to constantly optimize acquisition and engagement strategies. Continuously build overall brand recognition and trust with customers and partners across your designated region. What makes you the perfect fit Native or professional fluency in Turkish is required, alongside excellent professional English. Industry Experience: Proven track record in B2B sales, account management, or business development, specifically dealing with financial institutions, fintech, or SaaS . A self-starter with a partnership-first mindset and a relentless "can-do" attitude. You have a natural ability to identify business opportunities, articulate value propositions, and navigate negotiations to convert leads into long-term strategic partners. Highly organized and detail-oriented, with excellent time management skills. You take ownership of your responsibilities and consistently meet deadlines. Proficiency with customer relationship management (CRM) tools Competent in Microsoft Office, Slack, and various collaboration tools. You thrive in a flexible, fast-paced working schedule Will be a plus Experience in finance or trading domain What we offer Location: Fully Remote (Must be based within the Turkey ( Türkiye ) Employment Type: B2B Contract Flexible working hours - Start your day when it suits you best within our wide range of entry hours Collaborate with experienced professionals and mentors, with ongoing training and growth opportunities. Enjoy a premium TradingView subscription as part of your benefits. TradingView is an equal opportunity employer. We embrace diversity and are dedicated to fostering a diverse and inclusive workplace. Our success is driven by 600+ professionals from 40+ countries who speak nearly 20 languages.

Location: Belgrade, Serbia Carazo Group is a luxury distribution business operating across 10+ countries. We work with premium brands and build long-term trade partnerships across international markets. As we expand our international reach, we are looking for a B2B Trade Development Specialist to identify and develop new distributor and wholesale relationships across assigned territories. This is a hands-on, individual-contributor role for someone who is genuinely good at prospecting — someone who builds pipelines from scratch, not someone who manages inbound leads. You will work directly with the Head of Sales and report to senior leadership, with real visibility and impact from day one. What you will own: Prospecting & Business Development –     Identify and approach new distributors and wholesalers through digital research, LinkedIn outreach, and cold outreach campaigns –     Build and manage a structured pipeline of qualified prospects using CRM tools –     Convert prospect relationships into active trade partnerships Relationship Management –     Build and maintain strong, trust-based relationships with existing and new trade partners –     Present and promote the premium product portfolio to potential and current clients –     Manage ongoing communication and commercial development of your partner accounts Market Coverage & Reporting –     Monitor territory performance and report on sales activity, pipeline status, and market trends –     Identify market opportunities, competitor activity, and emerging trends within the territory –     Attend international trade fairs and industry events to represent the company and develop leads Internal Collaboration –     Coordinate with marketing, logistics, and compliance teams to ensure smooth partner onboarding and servicing Requirements To be successful in this role, you should have: Minimum 2 years of B2B sales or business development experience, preferably in FMCG, tobacco, or a related trade industry Proven prospecting skills — confident working through LinkedIn, email campaigns, and CRM tools without relying on inbound or a support team Experience building and managing relationships with distributors or wholesalers Strong negotiation and closing skills, with experience handling commercial agreements Comfortable tracking KPIs, pipeline health, and territory performance Fluent English, minimum C1 level (written and verbal) Comfortable working fully on-site in Belgrade Good to haves: Previous international B2B sales experience across multiple countries or regions Willingness to travel occasionally for trade fairs and client visits Knowledge of German or Spanish Experience with premium goods, luxury products, or tobacco What Success Looks Like A growing pipeline of qualified distributor and wholesale prospects from day one New trade partnerships signed and successfully onboarded Consistent CRM hygiene and accurate territory reporting Expanding territory performance over the first 6–12 months This role is not the right fit for you if your experience is exclusively in B2C or retail and you have never sold to distributors, or if you rely on inbound leads, a support team, or a lead generation function to fill your pipeline. Benefits We offer: International Exposure Work with trade partners and stakeholders across multiple countries, with real visibility into how a premium international distribution business operates. Direct Access to Leadership Work closely with the Head of Sales and senior leadership, with your results directly reflected in the company's growth. Compensation Competitive package based on experience and performance based commission. Environment International business exposure across 10+ markets Structured, performance-driven culture Opportunity to shape your territory and grow with the role

Location: Remote - Nebraska Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program. This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time. You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance. This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms. What You’ll Own: Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions. Labeling elements of a piece of content rather than the content as a whole. Assigning predefined categories or labels to items. Evaluating the perceived quality and/or appropriateness of content Generating labels to advance understanding of a concept, trend etc. Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity. Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines. Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content. Ordering or ranking items based on a set of preferences or criteria. Creating prompts or questions that will be used to generate responses from a language model or other AI system. Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.). Generating responses to prompts or questions using a language model or other AI system. Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines. Producing concise summaries of longer pieces of text or data. Converting spoken language or audio content into written text. Converting text or spoken language from one language to another. Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content. You’ll Thrive in This Role If You Have: A Bachelor’s degree or higher in a humanities specialization is required. Advanced degrees are strongly preferred (Master’s or PhD) Professional or Expert level proficiency (C1/C2) in English The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications. Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams. If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov .

Location: Remote - Alaska Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program. This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time. You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance. This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms. What You’ll Own: Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions. Labeling elements of a piece of content rather than the content as a whole. Assigning predefined categories or labels to items. Evaluating the perceived quality and/or appropriateness of content Generating labels to advance understanding of a concept, trend etc. Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity. Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines. Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content. Ordering or ranking items based on a set of preferences or criteria. Creating prompts or questions that will be used to generate responses from a language model or other AI system. Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.). Generating responses to prompts or questions using a language model or other AI system. Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines. Producing concise summaries of longer pieces of text or data. Converting spoken language or audio content into written text. Converting text or spoken language from one language to another. Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content. You’ll Thrive in This Role If You Have: A Bachelor’s degree or higher in a humanities specialization is required. Advanced degrees are strongly preferred (Master’s or PhD) Professional or Expert level proficiency (C1/C2) in English The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications. Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams. If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov .

Location: Remote - North Dakota Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program. This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time. You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance. This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms. What You’ll Own: Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions. Labeling elements of a piece of content rather than the content as a whole. Assigning predefined categories or labels to items. Evaluating the perceived quality and/or appropriateness of content Generating labels to advance understanding of a concept, trend etc. Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity. Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines. Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content. Ordering or ranking items based on a set of preferences or criteria. Creating prompts or questions that will be used to generate responses from a language model or other AI system. Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.). Generating responses to prompts or questions using a language model or other AI system. Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines. Producing concise summaries of longer pieces of text or data. Converting spoken language or audio content into written text. Converting text or spoken language from one language to another. Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content. You’ll Thrive in This Role If You Have: A Bachelor’s degree or higher in a humanities specialization is required. Advanced degrees are strongly preferred (Master’s or PhD) Professional or Expert level proficiency (C1/C2) in English The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications. Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams. If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov .

Location: Remote - Ohio Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program. This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time. You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance. This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms. What You’ll Own: Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions. Labeling elements of a piece of content rather than the content as a whole. Assigning predefined categories or labels to items. Evaluating the perceived quality and/or appropriateness of content Generating labels to advance understanding of a concept, trend etc. Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity. Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines. Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content. Ordering or ranking items based on a set of preferences or criteria. Creating prompts or questions that will be used to generate responses from a language model or other AI system. Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.). Generating responses to prompts or questions using a language model or other AI system. Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines. Producing concise summaries of longer pieces of text or data. Converting spoken language or audio content into written text. Converting text or spoken language from one language to another. Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content. You’ll Thrive in This Role If You Have: A Bachelor’s degree or higher in a humanities specialization is required. Advanced degrees are strongly preferred (Master’s or PhD) Professional or Expert level proficiency (C1/C2) in English The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications. Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams. If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov .

Location: Remote - Vermont Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program. This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time. You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance. This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms. What You’ll Own: Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions. Labeling elements of a piece of content rather than the content as a whole. Assigning predefined categories or labels to items. Evaluating the perceived quality and/or appropriateness of content Generating labels to advance understanding of a concept, trend etc. Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity. Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines. Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content. Ordering or ranking items based on a set of preferences or criteria. Creating prompts or questions that will be used to generate responses from a language model or other AI system. Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.). Generating responses to prompts or questions using a language model or other AI system. Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines. Producing concise summaries of longer pieces of text or data. Converting spoken language or audio content into written text. Converting text or spoken language from one language to another. Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content. You’ll Thrive in This Role If You Have: A Bachelor’s degree or higher in a humanities specialization is required. Advanced degrees are strongly preferred (Master’s or PhD) Professional or Expert level proficiency (C1/C2) in English The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications. Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams. If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov .

Обязанности: • Работать с системами информационной безопасности (SIEM, SOAR/IRP, NTA) • Заниматься мониторингом и анализом событий ИБ • Регистрировать инциденты ИБ и доводить их до закрытия • Взаимодействовать с коллегами. Требования: • Знание современных тактик и техник атакующих, основных векторов атак на корпоративные инфраструктуры, способов их обнаружения и противодействия; • Опыт работы с KSC, IRP/SOAR системами; • Понимание работы SOC (Security Operation Center) • Понимание работы средств защиты информации (FW, IDS/IPS, АВЗ, SIEM и пр.); • Ответственный подход к решению задач, способность работать в режиме многозадачности; • Высшее техническое образование (ИБ или ИТ); • Опыт работы не менее года. Условия: • Работу в федеральной компании стратегического масштаба; • Сменный график работы (сутки/трое) в комфортных условиях • Широкий стек технологий и проектов, возможность гибко строить свой карьерный трек; • Зарплату, соответствующую опыту и навыкам, прозрачную систему мотивации; • Поддержку профессионального развития - курсы и тренинги внутри департамента; • Расширенный пакет ДМС со стоматологией; • Корпоративная профсоюзная программа; • Комфортный офис рядом с м. ВДНХ; • Материальную помощь к отпуску, конкурентоспособную систему премирования.

Location: Warsaw, Mazowieckie, Poland; Limassol, Cyprus; Sofia City, Bulgaria Workplace: hybrid IT Assurance & Compliance sits at the intersection of technology, regulation, and business — translating regulatory obligations into controls that work in a fast-moving fintech environment. This role owns IT audit readiness, gap assessments, and day-to-day IT Assurance & Compliance work. Responsibilities: Own end-to-end preparation for IT audits and regulatory reviews — evidence gathering, coordination with tech teams, and timely delivery of complete audit packages; Conduct gap assessments against new regulatory requirements — document findings and propose remediation plans with clear owners and deadlines; Act as the subject-matter expert for IT compliance questions across the Company — translate regulatory requirements into practical implementation guidance for technical teams; Maintain audit-ready documentation across all IT Assurance & Compliance activities, including evidence repositories and compliance registers; Review and contribute to IT and Security policies, standards, and procedures — providing IT compliance input to ensure alignment with regulatory requirements and practical applicability across teams. Requirements: 4+ years in IT compliance, IT audit, or information security governance; Experience in FinTech, banking, or another regulated industry; Hands-on experience conducting gap assessments and building remediation plans — not just documenting findings, but driving them to closure; Working knowledge of at least two of: DORA, PCI DSS, SOC 2, or similar frameworks; awareness of how they interact in a multi-jurisdiction environment is a plus; Ability to work independently on complex, ambiguous IT compliance tasks; Strong communication skills — able to translate regulatory requirements into practical terms for technical teams and present compliance positions clearly to regulators and senior stakeholders; Attention to detail that extends to documentation: evidence packages, policy versions, control registers. What you will get in return: Competitive Salary: We believe great work deserves great pay! Your skills and talents will be rewarded with a salary that makes you feel valued and motivated. Work-Life Harmony: Join a company that genuinely cares about you - because your life outside of work matters just as much as your time on the clock. #LI-Hybrid Annual Performance Bonus: Your hard work doesn’t go unnoticed! Celebrate your achievements with a well-deserved annual bonus tied to your performance. Generous Time Off: Need a breather? Our annual leave policy lets you recharge and enjoy life outside of work without a worry. Employee Referral Program: Love working here? Share the love! Bring your talented friends on board and get rewarded for growing our awesome team. Comprehensive Health & Pension Benefits: From medical insurance to pension plans, we’ve got your back. Plus, location-specific benefits and perks! Workation Wonderland: Live your digital nomad dreams with 30 extra days to work remotely from anywhere in the world (some restrictions apply). Adventure awaits! Volunteer Days: Make a difference! Take two additional paid days each year to support causes you care about and give back to the community. Be a key player at the forefront of the digital assets movement, propelling your career to new heights! Join a dynamic and rapidly expanding company that values and rewards talent, initiative, and creativity. Work alongside one of the most brilliant teams in the industry.

Location: Первомайский рп Ищешь работу с возможностью карьерного развития и роста? Сбер раскроет твой карьерный потенциал! Откликайся! Обязанности * консультировать клиентов в отделении банка * продавать продукты и услуги Сбера и помогать с их оформлением * обучать клиентов пользоваться сервисами и продуктами Сбера * проводить платежи и переводы. Требования * имеешь образование среднее и выше * активно используешь гаджеты * доброжелателен и готов помогать клиентам * готов использовать искусственный интеллект в ежедневной работе (обучение за счёт компании — есть свои курсы). Условия * ежемесячная, годовая премия и ежегодный пересмотр зарплаты * возможность влиять на свой доход * быстрый старт карьеры для тех, кто без опыта * работа недалеко от дома * корпоративный планшет для комфортной работы * уникальная система онлайн обучения Сбера для карьерного развития и роста  * расширенный ДМС и льготное страхование для семьи * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ. #клиентский\_менеджер #менеджер\_по\_продажам #администратор #консультант #менеджер #специалист\_банка #работа\_для\_начинающих #консультирование #кредитные\_продукты #страхование #вклады #ипотека #кредиты #Сбербанк #специалист #начинающий\_специалист #Сбер

Location: Zaragoza, Spain D-ploy is a leading IT and Engineering Solutions company with operations worldwide. Our mission is to deliver innovative and D-ploy is an IT and Engineering Solutions company with operations throughout the EMEA region including Switzerland, Germany, Czech Republic, Austria, UK, as well as the USA. We pride ourselves on delivering innovative and superior services and solutions to numerous industry-leading clients. By building relationships and trusted partnerships within the IT community, we optimize our customer‘s IT productivity and contribute to the organization’s success and value. We are interested in talking to engaging, flexible, and solution-oriented individuals who are looking to become a part of a dynamically growing and international organization. We are focused on creating value where IT counts, join us! Responsibilities Onsite IT/OT support including break/fix for thin clients, IPCs, handhelds, and lab equipment Local hands-and-feet support for global IT teams Troubleshooting automation and production systems (PLC, SCADA, OT networks) Support for software upgrades, patching, and backups in lab/OT environments Incident, problem, and change management (ITIL-based) Compliance with CSV, GxP, and data integrity procedures Participation in disaster recovery and business continuity planning Requirements Bachelor's in IT, Engineering, or related field 5+ years of IT/OT support experience in regulated environments Experience with industrial IT systems, SCADA/PLC, and lab software Networking knowledge (VLAN, Firewall, Routing) ITIL process knowledge; ServiceNow/Remedy ticketing Database Troubleshooting Experience MSSQL Available for onsite support and 24/7 on-call rotation Fluency in English and Spanish (both written and spoken) is essential. Candidate must declare Criminal Record no older than 3 months. Benefits Broad range of activities, tasks, and projects Flexible working conditions Vouchers (B-day voucher, wedding, and new born surprise) Fishing for Friends program – our referral program Further development and professional advancement Friendly and international working environment Company-sponsored events Is IT in your DNA?

Location: Dammam, Saudi Arabia; New Delhi, India Eram Talent is seeking a Welding & Mechanical Training Specialist for a position based in Saudi Arabia. As a renowned Talent Acquisition Consultancy with extensive experience in the Oil & Energy sector, we are dedicated to connecting specialized professionals with top opportunities. This role involves designing, developing, and delivering high-quality training programs aimed at enhancing the skills and knowledge of welding and mechanical personnel. The Welding & Mechanical Training Specialist will collaborate with technical teams and management to assess training needs, prepare instructional materials, and conduct hands-on sessions that improve workforce competence and ensure compliance with industry standards and safety regulations. Responsibilities Assess training needs related to welding and mechanical disciplines through consultations with stakeholders and performance evaluations. Develop comprehensive training curricula, lesson plans, and instructional materials tailored to target audiences. Conduct engaging training sessions, including practical demonstrations and theoretical instruction. Evaluate trainee performance and provide constructive feedback and recommendations for improvement. Ensure training programs comply with relevant safety standards, industry codes, and company policies. Maintain detailed records of training activities, attendance, and outcomes. Stay updated on latest welding and mechanical technologies, techniques, and best practices. Collaborate with technical and operational teams to align training initiatives with company goals. Requirements Bachelor’s degree or diploma in Mechanical Engineering, Welding Engineering, or a related technical field. Minimum 5 years of experience in welding and mechanical training roles, preferably within the Oil & Gas or Energy sectors. Strong knowledge of welding processes, mechanical systems, and industry standards such as ASME, AWS, and API. Proven experience developing and delivering training programs, including hands-on practical sessions. Excellent communication, presentation, and interpersonal skills. Ability to assess training needs and adapt teaching methods to different learning styles. Familiarity with safety regulations and best practices in industrial environments. Proactive, self-motivated, and able to work independently and within a team. Experience working in Saudi Arabia or the Middle East region is a plus. Benefits Salary is not a constraint ,company is looking for right candidate .

Location: Istanbul Workplace: onsite The international technology company Ajax Systems opens a full-cycle production facility in Türkiye. Ajax Systems is the largest developer and manufacturer of security systems in Europe. The back office, R&D department, and two full-cycle production facilities are located in Ukraine. The company has branch offices worldwide: UAE (Dubai), Italy, Spain, Germany, Poland, Canada, and many other regions. Ajax team has more than 2,200 employees, including 500 developers and 1,200 production workers. Attracting local expertise in each key market enables us to scale the product globally and grow fast.   Location    : Istanbul/Tuzla, DESBAS Responsibilities Manage, direct, and assign daily tasks to storekeepers and assistants who receive, store, and release goods, Organize loading and unloading operations in the warehouse in strict compliance with Occupational Health and Safety (OHS), industrial hygiene, and fire protection regulations, Control the allocation of material assets (MA) in the warehouse to ensure the most rational use of space, facilitating and accelerating the identification of necessary materials to prevent dispatch delays. Oversee the receipt of material assets (MA) into the warehouse; organize verification of the number of cargo spaces, weight, volume, integrity of contents, and completeness against accompanying documents, Ensure the efficient processing of requests for the release, picking, and completion of shipments, Monitor packaging quality for transportation and create procurement requests for necessary packaging materials, Participate in developing and implementing measures to optimize warehouse management and improve overall efficiency. Prepare, record, and process income, expenditure, production, and other warehouse documents for receiving and releasing inventory, Ensure all original documents from suppliers, contractors, and other company departments are received and processed properly, Check that the party receiving the inventory holds all required documents in the established form, Prepare established periodic reports, control their accuracy, and submit them to management on time, Participate in conducting regular inventory counts (stocktaking) and preparing relevant documents. Bear full material responsibility for ensuring the proper storage, safety, and security of all material assets, preventing damage, theft, loss, or other incidents in the warehouse. Qualifications Bachelor's Degree (Preferably in Logistics, Supply Chain, or related fields), At least 1 year of work experience in warehouse management, stock control, or senior warehouse operations, Proficiency in warehouse programs (1C - Accounting or similar ERP systems) and MS Office applications (especially Excel), Good command of English and Turkish (both written and spoken), Knowledge of electronic component base (resistors, transistors, etc.), Strong knowledge of regulatory and methodological materials on warehouse management, standard storage conditions, packaging rules, and Occupational Health and Safety (OHS) procedures, Advanced reporting skills and experience in professional business correspondence, Leadership, coordination, and motivation skills to effectively manage storekeepers and storekeepers' assistants, Strong communication skills, with the ability to remain calm, professional, and solution-oriented in conflict or crisis situations, Ability to take initiative and make independent decisions.

Требования: - Грамотная письменная речь - Коммуникабельность и умение работать с клиентами - Ответственность и внимательность к деталям - Готовность к обучению и развитию Обязанности: - Обработка входящих обращений клиентов - Консультирование по продуктам компании - Помощь пользователям в решении вопросов - Поддержание высокого уровня клиентского сервиса Условия: - Полностью удалённый формат работы - Гибкий график, обучение за счёт компании - Поддержка наставника на этапе адаптации - Возможности карьерного роста

Задачи: — Первая линия поддержки (чат, тикеты, без звонков) — Объяснять клиентам и партнёрам сервисы, SLA, процессы — Эскалировать сложные вопросы в L2 и разработку — Отслеживать метрики: время реакции, CSAT, решение на первой линии Рост: через 6-12 месяцев можно перейти в L2, Duty DevOps, QA, техписательство Требования: — Опыт в IT-поддержке от 1 года, работа с чатами/тикетами, понимание SLA и приоритетов — Английский B2 и выше - свободная переписка, устная коммуникация — Умение объяснять - переводить с технического на человеческий и обратно, писать инструкции — Работа с KPI - отслеживание метрик эффективности — Готовность к сменному графику (дневные и ночные смены, например 2 месяца день / 1 месяц ночь) Будет плюсом: — Знание API (REST, базовые запросы) — Понимание блокчейна / крипты / трейдинга — Технический бэкграунд (логи, Linux, HTTP) — Опыт в финтехе Условия: — Формат: ТОЛЬКО гибрид из Тбилиси (с релокацией помогаем)

Location: Paris Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. Your future role within QRT: You will be part of a global team comprising Quantitative Traders, Researchers and Developers. Our AWS specialists are essential in building the next generation of research platforms, leveraging technologies like EKS, Lambda, SSM, IAM, Secrets Manager, RDS, DynamoDB, Redis, and CloudWatch. Design and implement custom AWS architectures to enhance the quantitative research and modelling processes of the desk. Collaborate with quantitative researchers, developers, and data scientists to understand their needs and translate them into scalable, flexible, and secure cloud solutions. Ensure the optimal performance, availability, and reliability of cloud infrastructure to support high-performance quantitative research and large-scale data analysis. Automate infrastructure deployment, management, and monitoring to streamline research operations and enable rapid prototyping. Continuously review and optimize cloud systems to ensure scalability, cost efficiency, and alignment with research and trading objectives. Stay up to date on AWS services, tools, and drive best practices within the AWS Specialists team. Your present skillset: 2+ years experience as a Cloud Architect or Engineer with a strong focus on AWS technologies. In-depth knowledge of AWS services, including EKS, EC2, S3, Lambda, RDS, VPC, IAM, CloudWatch and others. Experience in designing highly available, resilient, and secure cloud solutions for research or finance environments. Strong understanding of cloud security practices, encryption, and governance. Familiarity with DevOps principles and automation tools (e.g.: Terraform). Experience with containerization (Docker, Kubernetes, etc.) and serverless architecture. Ability to troubleshoot complex cloud infrastructures. Excellent communication and collaboration skills, with the ability to work effectively across diverse technical and research teams. AWS certifications (Solutions Architect, DevOps Engineer, etc.) are a plus. QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Location: North America Workplace: Remote At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires. Founded in 2019, Linear has become the platform of choice for more than 50,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America, Europe, and Australia, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship. Over the past years, Linear has experienced incredible organic growth and has become an instrumental tool for many of the world’s best product teams. We believe customer support should always feel like an extension of that experience. As a Product Support Specialist at Linear, you’ll contribute to the future of our product by surfacing customer feedback and insights, contributing to our technical documentation, and engaging a technical customer community via social channels. Location & work mode Linear is a remote-first company, with optional co-working offices in San Francisco, New York, and London. This role is open to candidates based within U.S. and Canada Pacific or Mountain Time. You can work from anywhere within those time zones. We value deep focus and async collaboration, with intentional moments to connect in person through team off-sites, optional co-working, and occasional travel. What you’ll do - Support customers in end-to-end engagement, including onboarding, account setup, debugging issues, feature and integration discovery - Investigate and resolve inbound customer issues reported through all communication channels, including email, Slack, Twitter, and Reddit - Partner with our engineering team to document and reproduce bugs - Surface trends and insights from customer feedback to the team at large to inform product choices - Lead select strategic projects to improve the support experience, internal knowledge sharing, and product operations What we're looking for - Passion about technology, quality, and Linear’s mission - Excellent communication and customer service skills and experience working with a technical or engineering user base. Ability to adapt your communication approach to non-technical users. - Experience troubleshooting technical issues, including APIs and integration setups. Ability to reproduce bugs with Linear and our integrations in various environments (different browsers, Windows, Mac, Mobile). - Familiarity with SQL, Javascript, APIs, and GitHub is a plus. If you don’t have direct experience in these areas, curiosity to learn more is desirable as well. Please note that this is not a product engineering role. - Based in U.S. or Canada Pacific or Mountain Time only What we offer We're a small, focused team that cares deeply about the quality of our work and the people we do it with. Here's what you can expect: - Competitive salary and equity - Employee-friendly equity terms including early exercise in the US and extended exercise windows - Daily meal and coffee stipend on every workday - Paid co-working space or desk - Health coverage (based on country requirements) - 5 weeks paid vacation, plus local statutory holidays - 4 months paid parental leave - Paid month off after 4 years & every 2 years thereafter - Regular team events and off-sites - Remote-first with no required commute Compensation For US-based candidates, the expected cash compensation range for this role is $95,000—$135,000. For sales roles, this range represents on-target earnings (OTE), including base salary and variable compensation; for all other roles, it represents base salary. Final compensation is determined based on job-related knowledge, skills, and experience. For sales roles, actual earnings vary based on sales performance. Equity is a meaningful part of all offers at Linear. Learn how we think and work - A story about our mission: Read Me https://linear.app/readme - Building our teams: Why and how we do work trials at Linear https://linear.app/blog/why-and-how-we-do-work-trials-at-linear - How we work: Designing remote work at Linear https://linear.app/now/designing-remote-work-at-linear - How Linear uses Linear: How our Customer Experience team works in Linear https://linear.app/now/cx-in-linear - A video series: Conversations on Quality https://linear.app/quality - Our recent tender offer: Sharing Linear’s growth with the people building it https://linear.app/now/sharing-growth-with-the-people-building-linear A note on recruitment fraud: all official Linear hiring communication comes from an @linear.app http://linear.app email address, and all open roles are listed at linear.app/careers http://linear.app/careers. We never ask candidates for payment or financial information. Suspicious messages can be reported to security@linear.app. Linear is an equal opportunity employer. We do not discriminate based on race, color, religion, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.

Location: Brooklyn, NY Authorization Specialist - Brooklyn, NY 📍 Brooklyn, NY | Full-Time | On-Site Join a Growing Healthcare Team Supporting Families and Clinical Care Licensed Behavior Analyst Professional Services (LBAPS) is seeking a highly organized and detail-oriented Authorization Specialist to join our growing operations team. This role is essential in helping clients access services efficiently by managing insurance authorizations, benefit verification, and coordination between intake, billing, and clinical departments. The ideal candidate is proactive, dependable, and able to manage multiple tasks in a fast-paced healthcare environment while maintaining strong attention to detail and follow-through. Key Responsibilities: Submit and manage insurance authorization requests and renewals Verify insurance benefits and coverage details Track approvals, denials, and authorization timelines Coordinate with intake, billing, and clinical teams to ensure timely processing Maintain accurate records and documentation related to authorizations Follow up with insurance providers regarding pending requests and updates Assist in resolving authorization and eligibility issues as needed Qualifications: Experience with healthcare authorizations, insurance verification, medical billing, or related administrative work preferred Strong organizational, communication, and follow-up skills Ability to manage multiple deadlines and priorities efficiently Detail-oriented with strong documentation skills Experience working with insurance portals and healthcare systems is a plus What We Offer: Competitive compensation based on experience Supportive and collaborative team environment Opportunity for professional growth within a rapidly expanding organization Meaningful work helping families access essential services 📩 Apply today: resumes@lbaps.com