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Location: Berlin Workplace: Remote HEY THERE! Ready to put our brand in front of millions of people worldwide? We’re looking for a Data Analyst, Marketing to turn raw campaign and engagement data into decisions — telling us which channels, markets, and customers to target next. This isn’t a dashboard-building role. You’ll build robust data products, of course — but the real impact comes from the reporting and insight you deliver, and the incremental value that creates for the marketing team. Let’s shape the future of nutrition together and make Yazio the most successful nutrition app worldwide! This role is 100% remote and open to candidates based in Germany, Spain, Portugal, or the U.K. YOUR MISSION - Show our Performance Marketing team which campaigns to double down on — and which to scale back. - Partner with our CRM team to learn what messaging resonates with each user segment, then run experiments to measure the uplift. - Own the data transformation process, from raw channel and MMP data to curated, ready-to-use datasets in our self-service BI tool. - Define requirements with Data Engineering to ingest new data sources. - Work with the Analytics team to build a data-driven culture across Yazio. YOUR PROFILE - Hands-on experience with performance marketing data for a native mobile app, covering channel-level or MMP data (ideally both). - Solid grasp of attribution, incrementality, funnel and cohort analysis, plus marketing performance metrics like iROAS and CAC. - High proficiency in SQL and working knowledge of Python. - Solid experience in either analytics engineering (e.g., using dbt to transform data) or data science (e.g., geo-lift tests, holdout tests, A/B tests, media mix modeling). You don’t need both, but you should be strong in one. OUR CORE TECH STACK We use: - Snowflake as our core Analytics data warehouse. - dbt & Dagster to transform & orchestrate our data. - Growthbook to power experimentation. - Omni to provide self-service analytics. - Prefect to handle our ML workflows. WHY US? - An exciting product with millions of users in over 150 countries, driven by our mission to transform the world through healthy eating - A remote-first setup: work 100% from home, join a co-working space or work abroad for several weeks per year - 30 vacation days to relax and recharge, plus 5 child sick days if your little one needs you - A focus-driven culture that values efficiency over long hours — no overtime expectations, and if it happens, you get that time back! - A high-impact environment where your work drives real change — short decision-making processes and no micromanagement - A team culture where ambition and balance go hand in hand, supported by strong connections — from our fully covered company retreat to team meetups and virtual coffee breaks - Tools and support to do your best work: MacBook, monitor and €1,000 annual learning budget, plus regular feedback and career development - A truly international team with English as our company language and a shared commitment to growth and well-being — supported by Sunday Supplements and Nilo Health DIVERSITY AND INCLUSION At Yazio, we believe that diversity fuels innovation. We are committed to fostering an inclusive environment where everyone, regardless of gender identity, race, religion, age, sexual orientation or ability, feels valued and empowered. We celebrate different perspectives and actively encourage individuals from all backgrounds to apply. READY TO JOIN US? Excited to take Yazio to the next level and help people worldwide lead healthier lives? We’d love to hear from you! Please send us: - Your CV in English - A few lines (or a short video if you prefer) about who you are and why you want to work at Yazio - Any additional materials that showcase your work (e.g., LinkedIn profile, GitHub)

Коммерческий опыт iOS-разработки от 3 лет.

Задачи: — Разработка приложений под Android в соответствии с техническим заданием — Исправление обнаруженных дефектов (багов) — Реализация нестандартных элементов пользовательского интерфейса — Работа с системой контроля версий Git — Применение шаблонов проектирования и принципов SOLID Требования: — Знание Android SDK (API level 21+) — Владение Kotlin или Java (MVVM, DI, Kotlin Coroutines, Dagger2/Hilt, Service, View) — Понимание RESTful API и HTTP — Опыт работы с системами контроля версий — Опыт многомодульной разработки будет преимуществом Условия: — Удалённая работа из любой страны или работа в офисе в Ташкенте — Возможность влиять на архитектурные и продуктовые решения — Уникальная культура с духом стартапа и зрелыми процессами — Формирование измеримых целей и оценка эффективности работы — Работа в командах сильных специалистов с инженерным мышлением — Возможность карьерного роста в инженерном или управленческом треке — Конкурентная оплата на уровне топовых компаний российского рынка — Обучение и развитие внутри компании и за её пределами (митапы, конференции, профессиональное обучение, публикации) — Поддержка развития личного бренда и комьюнити профессионалов — ДМС в привязке к локации, современная техника на выбор — Быстрый карьерный рост, зависящий от результата, а не стажа

Location: Москва Наша команда разрабатывает цифровой депозитарий криптовалют для корпоративных клиентов на базе платформы «СберБизнес». Команда отвечает за бэкенд-систему учёта криптоактивов и её интеграцию с клиентскими интерфейсами. В целевом функционале — хранение криптовалюты, покупка, продажа и использование активов в качестве залога **Технический стек:** Java 17+, Spring Boot, Spring Data, Spring Security, Amity Chain, Ethereum, Bitcoin, банковские ДБО-каналы и внутренние системы банка. Обязанности * разрабатывать новые фичи от начала до конца: от проработки требований с аналитиком до деплоя в прод * участвовать в архитектурных решениях, выбирать подходы и улучшать существующие системы * выстраивать интеграции с ДБО-каналами, внутренними системами банка и блокчейнами Amity Chain, Ethereum и Bitcoin * проводить код-ревью, держать высокую планку качества кода * развивать существующий код: устранять технический долг и повышать надёжность системы * быстро адаптироваться к меняющимся требованиям молодого рынка ЦФА и предлагать решения Требования * опыт работы с Java 8+ не менее 3 лет * опыт работы со Spring Framework, Spring Boot и Spring Data * опыт работы с брокерами сообщений, например Apache Kafka * умение писать юнит- и интеграционные тесты * понимание принципов SOLID, DRY, KISS и YAGNI * опыт проектирования RESTful API * знание паттернов микросервисной архитектуры **Будет плюсом:** * опыт работы с PostgreSQL, умение писать и оптимизировать SQL-запросы * опыт работы с микросервисами, cloud native-приложениями, Docker и Kubernetes * опыт работы со Scala или желание её освоить * опыт работы с блокчейн-технологиями или понимание их устройства. * опыт в финтехе или банковской сфере Условия * комфортный современный офис рядом с м. Кутузовская * формат работы – офис/гибрид * ежегодный пересмотр зарплаты и годовая премия * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * программа адаптации и помощь руководителя на старте * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера.

Location: Nairobi Workplace: onsite About Unlimit Unlimit is the global financial infrastructure for the borderless agentic economy. Designed to bridge the gap between fragmented local markets and the future of autonomous commerce, Unlimit provides the programmable operating layer for the world’s most ambitious businesses. Through an integrated technology stack, the platform unifies global payment acceptance, programmable financial accounts, and digital asset rails into a singular financial layer. By mapping hyper-local payment ecosystems directly into its architecture, Unlimit enables businesses to move value and settle transactions instantly across continents. Built on decades of hard-won regulatory depth and an extensive global license portfolio, the platform provides direct access to a massive global infrastructure. With major hubs in London, San Francisco, Singapore, São Paulo, and Mexico City, Unlimit is building the infrastructure that makes global expansion a matter of code, not geography. Responsibilities: AML / CFT / Sanction compliance - Ensure effective AML/CTF/Sanction compliance throughout the business. - Identify AML/CTF/Sanction risks associated with the business practices, products and services. - Monitor developments and new trends in the Kenya / Tanzania and other EAC countries AML framework. - Maintain and further development of AML/CTF/Sanction policy, program, practices and procedures in order to be in compliance with the current regulation, requirements of external partners and best practices.   Regulatory compliance - Be the central point of contact with the Central Bank for anti-money laundering/ combating the financing of terrorism purposes. - Ensure that the business meets its regulatory requirements and mitigate AML/CTF/Sanction risks to avoid breaches, fines and regulatory sanctions. - Assess the effectiveness and adequacy of the policy, procedures and controls through regular or special AML audits. - Assess internal trends, external regulatory & law enforcement environment to make recommendations, understand risk areas and alter or add to current processes. - Prepare periodic reports to the management and regulatory bodies, e.g. Annual and semi-annual AML/CTF compliance officer Report, annual AML Risk Assessment Report, annual AML program, etc. - Assist with regulatory inquiries and inspections, internal and external audits. - Assist with development and adaption of the internal system and other utilized systems for AML purposes. - Be responsible for periodic regulatory reports or returns on AML/CFT matters to the Central Bank and any other regulator within the financial system e.g annual compliance report via goAML system etc. - Provide advice and assistance to other functions dealing with AML/CTF/Sanction related matters.   Training & Awareness - Prepare and provide tailor-made AML/CTF/Sanction training for Board, Management and all Staff.    Transaction Monitoring - Identifying, monitoring, and reporting of STRs and CTRs.  - Continuously improve transaction monitoring systems to detect & report suspicious activities. - Perform ad-hoc reviews to ensure the effectiveness of transaction monitoring processes & procedures. - Ensure that when appropriate, the information or other matter leading to knowledge or suspicion, or reasonable grounds for knowledge or suspicion of ML/TF  is properly disclosed to the Board.   Merchant KYC/KYB & Onboarding - Oversee and manage the Know Your Customer (KYC) onboarding process for new customers and review & update existing customers. - Establish and maintain an effective Customer Due Diligence/Enhanced Due Diligence risk rating and ensure ongoing assessments. - Ensure compliance with local and international regulatory requirements related to customer identification and verification.   Remittance Compliance - Ensure compliance procedures specific to remittances and cross-border payments. - Ensure adherence to regulatory requirements governing remittance services.   Requirements: - 10+ years of effective working experience as AML/CFT compliance officer or Deputy AML/CFT compliance officer at Kenyan regulated Bank or Electronic Money Institution or Payments company. - Experience in liaising with bank-partners (correspondent banks), auditors, financial regulators and the ability to handle regulatory inquiries and inspections, as well as audits and requests. - Solid experience in drafting, reviewing and updating of AML/CTF/Sanction policies and procedures relevant to the business in order to reflect industry best practices, the evolving regulatory environment and changes to the business. - Solid experience in implementation and monitoring of AML/CTF/Sanction related practices and measures throughout the business. - Excellent analytical and organizational skills with strong attention to detail. - Confidence to interact with individuals from all levels of the business and relevant external partners. - Additioanal certificate – e.g. CAMS, ACAMS, ICA. - University degree in a relevant field. Join Unlimit Team now!   Unlimit is an equal opportunity employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We welcome applications from all members of society irrespective of age, sex, disability, sexual orientation, race, religion or belief.

Location: United Kingdom; Spain; Germany Workplace: remote Help Us Build The Future of Travel At Airalo, we're making it easier for people to stay connected wherever they travel. As the world's first eSIM store, we help millions of travelers access affordable mobile data in 200+ countries and regions around the world. Today, we're a team of 400+ people across 60+ countries, building a product used by travelers every day. We've grown quickly, but we've worked hard to keep what matters: trust, ownership, and the freedom for people to do great work without unnecessary layers or bureaucracy. We're fully remote by design, genuinely global, and united by a shared mission to make travel simpler for everyone. Your Next Destination Location: Remote. Contract: Full-time, permanent. Benefits: Learn more about our benefits here in this link - https://airalo-public.notion.site/Benefits-25396a97ffca81fb9bc1f0be479f1be3?pvs=74  Languages: English is our main working language day to day, so you'll need to be comfortable communicating in it both in meetings and async. What You'll Do Support our marketing attribution models and methodology: review how conversions are credited across channels, reconcile platform-reported and first-party numbers, and keep the approach trusted and documented. Design and maintain the marketing data models behind measurement (spend, attribution, orders and customer cohorts) with Analytics Engineering, with clear definitions, tests and documentation. Support Growth and Marketing with ad-hoc and core analytics, such as campaign and market performance, self-serve dashboards and AI-assisted analytics. Design and run geo experiments from simulation-based power analysis and market selection to success criteria and read-out, working with the marketing performance team. Co-own a prioritised quarterly incrementality test roadmap across channels and markets, ranked by decision value, cost, feasibility (including properly powered tests) and learning, and track each test through to a decision. Handle spillover, seasonality and small-market noise, and report incremental CAC and incremental ROAS with honest uncertainty. Turn test results into investment guidance: estimate marginal returns and saturation by channel and market, and recommend where the next dollar should go and where to pull back. Help set and document our causal measurement standards: which method when, what counts as sufficient evidence, and how results calibrate attribution and MMM for budget allocation. Defend the framework under challenge from channel owners and leaders, and pressure-test platform claims. Guide Growth, Acquisition and Finance from business question to testable hypothesis to budget decision, and build literacy on attributed versus incremental performance. Build reusable experiment tooling and templates, work with Analytics Engineering and MarTech on the data experiments needed, and document every test and decision as you build this capability from scratch. What You'll Bring 3+ years of experience in marketing measurement (attribution, incrementality or marketing mix modelling), with a track record of analysis that changed real budget decisions. Solid grounding in causal inference and experimental design: randomised and quasi-experimental methods such as synthetic control and difference-in-differences, simulation-based power analysis to size and design tests, and knowing when each approach breaks. Strong statistical judgement: you can quantify uncertainty, explain it simply, and resist overclaiming. Hands-on experience with marketing attribution models and their limits, including reconciling platform-reported results with first-party data. Familiarity with how experiments calibrate MMM and attribution, and with marginal-return and budget-optimisation thinking (saturation, diminishing returns). Expert SQL and Python, production-quality code, a modern warehouse (BigQuery or Snowflake) and a BI tool such as Lightdash or Looker. Strong data modelling skills: designing clean, tested and documented models (dbt or similar) for marketing spend, attribution and customer data, and working closely with Analytics Engineering. Strong core analytics skills: marketing and customer metrics (CAC, LTV, retention, funnel and cohort analysis), dashboards and self-serve BI, and the judgement to prioritise ad-hoc requests alongside the test roadmap. Proven ability to influence senior stakeholders: you hold a position under challenge, have shaped a roadmap, and say no with a clear rationale. Comfortable with ambiguity and with data that is still improving: you're a proactive self-starter who is happy to create a new process or capability in a small, fast-growing team. Why People Join Us We started Airalo to make staying connected effortless, wherever you are in the world. Today, millions of travelers rely on our eSIMs, and many of the people building the product were customers first. Our team spans 60+ countries, united by a shared belief that great work happens when people are trusted to own what they do. There's trust to own what you do, space to focus without constant layers of process, and a clear sense of what you're responsible for from day one. As Airalo continues to grow, so do the opportunities to learn, take on new challenges, and make a real impact - from anywhere in the world. Before You Hit Apply By applying, you acknowledge and agree that, in case of successful application, Airalo may request to run background checks as a condition for entering into an agreement with you. Rest assured that these checks will only occur upon your prior consent and at the end of the selection process, and will be strictly limited to what is allowed under the laws that are applicable to you. All data that you share or that we collect in connection with such checks will be processed in accordance with our Privacy Policy, available here: www.airalo.com/more-info/privacy-policy?srsltid=AfmBOooBT0rXAj1FaNelZ3VfN0wvhwzvAoxdtHnOKSVETpiSjiXVuycy    We sincerely thank all applicants in advance for submitting their interest in this opportunity. Airalo is an equal-opportunity employer and values diversity, equity & inclusion. We do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to providing reasonable accommodations upon request for individuals with disabilities throughout our job interview process. At Airalo, we believe in roaming-free recruitment. Just as we provide clear connectivity for travelers, we provide clear salary ranges for our candidates. 🌍 This role is remote and open to candidates across our supported locations in Europe. The range below reflects the full salary range for this role across the countries where it’s available: 📍UK: £64,000 - £96,000 📍Spain: €62,000- €93,000 📍Germany: €68,000- €102,000 Your Home Destination: Local market rates and cost of living vary, so your specific range depends on where you’re based. Most people join in the first half of the band, which leaves you plenty of room to grow, and you’ll see exactly how that looks from day one. In exceptional cases, where a candidate’s skills and experience clearly exceed what the role requires, we’re happy to talk about going higher. We’ll walk through your range together on your first call with our Talent team, so we’re all aligned for takeoff!

Задачи: — Разработка и поддержка микросервисов на Go для масштабных проектов — Проектирование архитектуры и внедрение новых решений — Оптимизация производительности и профилирование приложений — Интеграция с внешними сервисами через gRPC, REST API — Работа с высоконагруженными системами и потоками данных — Взаимодействие с базами данных (PostgreSQL, Redis, Tarantool и др.) — Использование Docker, Git, CI/CD для автоматизации процессов — Написание и поддержка тестов, обеспечение качества кода — Внедрение и поддержка Kafka для обмена сообщениями — Участие в проектировании ETL-конвейеров и аналитических сервисов Требования: — Опыт коммерческой разработки на Go от 3 лет — Глубокое понимание принципов SOLID и основных паттернов проектирования — Уверенное владение Git, опыт работы в Linux — Опыт работы с Docker и CI/CD — Знание и опыт работы с сетевыми протоколами (TCP, HTTP, DNS) — Опыт проектирования микросервисной архитектуры — Навыки работы с высоконагруженными системами — Опыт работы с PostgreSQL, Kafka, Redis, Tarantool или другими NoSQL-БД — Опыт интеграции через gRPC API — Навыки профилирования Go-приложений и написания benchmark-тестов — Умение писать и поддерживать тесты Условия: — Полноценная удалённая работа — Максимально гибкий график — Современное топовое оборудование — Разнообразные технологичные проекты — Профессиональный и личностный рост

Location: Paris, France; London, United Kingdom; Lisbon, Portugal; Milan, Italy; Rome, Italy; Berlin, Germany; Athens, Greece; Barcelona, Spain; Bari, Italy; Split, Croatia; Copenhagen, Denmark; Oslo, Norway; Tallinn, Estonia; Lima, Peru; Limassol, Cyprus; Budapest, Hungary; Florence, Italy; Amsterdam, Netherlands; Stockholm, Sweden; Warsaw, Poland; Kraków, Poland; Lublin, Poland; Opole, Poland; A Coruña, Spain; Aachen, Germany; Aalborg, Denmark; Aarhus, Denmark; Aberdeen, United Kingdom; Alanya, Türkiye; Algarve, Portugal; Loulé, Portugal; Alicante, Spain; Andijan, Uzbekistan; Amstetten, Austria; Ankara, Türkiye; Almería, Spain; Antalya, Türkiye; Antipolo, Philippines; Ariana, Tunisia; Aracaju, Brazil; Antwerp, Belgium; Arequipa, Peru; Asenovgrad, Bulgaria; Ashgabat, Turkmenistan; Asunción, Paraguay; Auckland, New Zealand; Augsburg, Germany; Austin, United States; Amadora, Portugal; Almaty, Kazakhstan; Alajuela, Costa Rica; Badajoz, Spain; Badgastein, Austria; Bamberg, Germany; Basel, Switzerland; Batumi, Georgia; Batam, Indonesia; Bedford, United Kingdom; Belgrade, Serbia; Bengaluru, India; Bern, Switzerland; Birmingham, United Kingdom; Bordeaux, France; Bologna, Italy; Braga, Portugal; Brașov, Romania; Bray, Ireland; Brixen, Italy; Seoul, South Korea; Bydgoszcz, Poland; Caen, France; Čačak, Serbia; Caieiras, Brazil; Cairo, Egypt; Campinas, Brazil; Carapicuiba, Brazil; Capiatá, Paraguay; Cascais, Portugal; Catania, Italy; Cebu City, Philippines; Celje, Slovenia; Cardiff, United Kingdom; České Budějovice, Czechia; Chelyabinsk, Russia; Chiclayo, Peru; Chișinău, Moldova; Christchurch, New Zealand; Cookstown, United Kingdom; Conlig, United Kingdom; Córdoba, Argentina; Cork, Ireland; Cotia, Brazil; Craiova, Romania; Crete, Greece; Cusco, Peru; Daegu, South Korea; Damascus, Syria; Darmstadt, Germany; Debrecen, Hungary; Derby, United Kingdom; Dubai, United Arab Emirates; Dublin, Ireland; Düsseldorf, Germany; Edirne, Türkiye; Edinburgh, United Kingdom; Eindhoven, Netherlands; Eisenstadt, Austria; Essen, Germany; Faro, Portugal; Frankfurt, Germany; Fortaleza, Brazil; Freiburg, Germany; Gdańsk, Poland; Gebele, Azerbaijan; Gaziantep, Türkiye; Ganja, Azerbaijan; Geneva, Switzerland; George Town, Malaysia; Gothenburg, Sweden; Goiânia, Brazil; Glasgow, United Kingdom; Graz, Austria; Girona, Spain; Gurugram, India; Gyumri, Armenia; Hamilton, New Zealand; Haiphong, Vietnam; Hamburg, Germany; Île-de-France, France; Innsbruck, Austria; Ingolstadt, Germany; Johannesburg, South Africa; Kandy, Sri Lanka; Kano, Nigeria; Karpacz, Poland; Kardzali, Bulgaria; Karachi, Pakistan; Kaunas, Lithuania; Katowice, Poland; Kerpen, Germany; Khon Kaen, Thailand; Kičevo, North Macedonia; Klagenfurt am Wörthersee, Austria; Konak, Türkiye; Klang, Malaysia; Konya, Türkiye; Kraljevo, Serbia; Kragujevac, Serbia; Krasnoyarsk, Russia; Krasnodar, Russia; Krushevo, North Macedonia; Ksamil, Albania; Kyiv, Ukraine; Kumanovo, North Macedonia; Kufstein, Austria; Kutaisi, Georgia; Kyustendil, Bulgaria; La Chorrera, Panama; La Plata, Argentina; Larissa, Greece; Larnaca, Cyprus; Lankaran, Azerbaijan; Leeds, United Kingdom; Nicosia, Cyprus; Lefke, Cyprus; Leicester, United Kingdom; Leibnitz, Austria; Leoben, Austria; Leon, Mexico; Limbourg, Belgium; Liepāja, Latvia; Limerick, Ireland; Linz, Austria; Liverpool, United Kingdom; Ljubljana, Slovenia; Łódź, Poland; Luang Prabang, Laos; Madrid, Spain; Maceió, Brazil; Maastricht, Netherlands; Lyon, France; Lviv, Ukraine; Malacca, Malaysia; Málaga, Spain; Manaus, Brazil; Manchester, United Kingdom; Manila, Philippines; Maracaibo, Venezuela; Marbella, Spain; Maribor, Slovenia; Marrakech, Morocco; Marseille, France; Medellín, Colombia; Melbourne, Australia; Milpitas, United States; Metropolitan City of Naples, Italy; Miskolc, Hungary; Monaghan, Ireland; Mumbai, India; Munich, Germany; Nairobi, Kenya; Namangan, Uzbekistan; Newcastle upon Tyne, United Kingdom; New York, United States; New Taipei City, Taiwan; Nice, France; Niš, Serbia; Novosibirsk, Russia; Nyíregyháza, Hungary; Oeiras, Portugal; Ohrid, North Macedonia; Ostrava, Czechia; Osaka, Japan; Omsk, Russia; Panama City, Panama; Palermo, Italy; Paphos, Cyprus; Pasto, Colombia; Passau, Germany; Patras, Greece; Pattaya City, Thailand; Pécs, Hungary; Pereira, Colombia; Petaling Jaya, Malaysia; Pforzheim, Germany; Phoenix, United States; Phu Quoc, Vietnam; Phuket, Thailand; Pilsen, Czechia; Porto, Portugal; Porto Alegre, Brazil; Plovdiv, Bulgaria; Poznań, Poland; Prague, Czechia; Pristina, Kosovo; Quezon City, Philippines; Puente Alto, Chile; Rangpur, Bangladesh; Rawalpindi, Pakistan; Recife, Brazil; Regensburg, Germany; Rennes, France; Reus, Spain; Riga, Latvia; Rosenheim, Germany; Rotterdam, Netherlands; Ruhr, Germany; Saint Pölten, Austria; Saint-Étienne, France; Saint-Tropez, France; Shanghai, China; Sheffield, United Kingdom; Shenzhen, China; Sibiu, Romania; Sidon, Lebanon; Sintra, Portugal; Sofia, Bulgaria; Stara Zagora, Bulgaria; Strumica, North Macedonia; Stuttgart, Germany; Suzano, Brazil; Sveta Nedelja, Croatia; Swansea, United Kingdom; Sydney, Australia; Taichung City, Taiwan; Taipei City, Taiwan; Tainan City, Taiwan; Tartu, Estonia; Taoyuan City, Taiwan; Tbilisi, Georgia; Tel Aviv-Yafo, Israel; Tehran, Iran; The Hague, Netherlands; Thun, Switzerland; Tirana, Albania; Tokyo, Japan; Tijuana, Mexico; Toulouse, France; Tripoli, Lebanon; Trujillo, Peru; Turin, Italy; Ulm, Germany; Utrecht, Netherlands; Valencia, Spain; Valletta, Malta; Venice, Italy; Verona, Italy; Vienna, Austria; Vilnius, Lithuania; Vĩnh Phúc, Vietnam; Washington, United States; Wiesbaden, Germany; Würzburg, Germany; Xi'An, China; Yerevan, Armenia; Yokohama, Japan; Zagreb, Croatia; Zadar, Croatia; Zaragoza, Spain; Zürich, Switzerland; Brno, Czechia; Adelaide, Australia; Baku, Azerbaijan; Belfast, United Kingdom; Bergen, Norway; Birkirkara, Malta; Bratislava, Slovakia; Bruges, Belgium; Brussels, Belgium; Bucharest, Romania; Burgas, Bulgaria; Cluj-Napoca, Romania; Cologne, Germany; Constanța, Romania; Coventry, United Kingdom; Daugavpils, Latvia; Dnipro, Ukraine; Dresden, Germany; Galway, Ireland; Genoa, Italy; Ghent, Belgium; Hanover, Germany; Helsinki, Finland; Heraklion, Greece; Iași, Romania; İstanbul, Türkiye; Kazan, Russia; Kharkiv, Ukraine; Košice, Slovakia; Leipzig, Germany; Lille, France; Malmö, Sweden; Moscow, Russia; Nantes, France; Naples, Italy; Newcastle, United Kingdom; Nizhny Novgorod, Russia; Novi Sad, Serbia; Nuremberg, Germany; Pljevlja, Montenegro; Podgorica, Montenegro; Saint Petersburg, Russia; Salzburg, Austria; Samara, Russia; San Marino; Sarajevo, Bosnia and Herzegovina; Seville, Spain; Skopje, North Macedonia; Sliema, Malta; Abu Dhabi, United Arab Emirates; Alexandria, Egypt; Avignon, France; Bắc Ninh, Vietnam; Baghdad, Iraq; Bali, Indonesia; Bangkok, Thailand; Bangor, United Kingdom; Barranquilla, Colombia; Bayreuth, Germany; Beijing, China; Beirut, Lebanon; Belém, Brazil; Benin City, Nigeria; Binh Duong, Vietnam; Boston, United States; Newport, United Kingdom; Los Angeles, United States; San Francisco, United States Workplace: fully David Kennedy Recruitment is working with a fast-growing AI technology company behind an AI companionship platform that is seeking to onboard a Mid/Senior AI Cinematic Video Creator to join their team. The successful candidate will be deeply embedded in generative video workflows, independently creating high-quality, narrative-driven long-form content from concept to final output using AI-first pipelines. The content includes explicit adult material, so candidates must be fully comfortable working with it. Location: Worldwide, Remote Employment type: B2B contract Remuneration: Competitive salary dependent on experience DUTIES AND RESPONSIBILITIES: Conceptualise scripts based on current production needs, centered on the company’s existing AI characters Create narrative-driven long-form video content, including stylised and explicit NSFW visuals, with a strong focus on storytelling, atmosphere and visual coherence Own end-to-end AI video production, from ideation and prompting through generation, editing and post-production Build, customise and optimise node-based ComfyUI workflows for image and video generation Use tools such as Stable Diffusion (AUTOMATIC1111), ComfyUI, Runway and other AI video platforms to produce high-quality sequences Maintain consistent character appearance, style and scene continuity across longer narratives Integrate motion graphics and colour correction to deliver cohesive final outputs Experiment quickly with new AI models and techniques, and share skills with the team Follow the Content Lead’s creative direction while keeping a high degree of autonomy in execution and technical decisions Continuously refine workflows for efficiency, scalability and output quality REQUIREMENTS: 4–6+ years of experience in video production, VFX or digital art, with a strong portfolio that includes AI-driven video work Proven experience with ComfyUI, including building and managing complex node-based workflows Strong proficiency in Stable Diffusion / AUTOMATIC1111, including advanced prompting, trained LoRAs, refining, upscaling and inpainting Hands-on experience with the latest AI video tools and models (e.g. Kling, Seedance, Happy Horse) Solid understanding of AI image and video generation pipelines, including prompting, batching, consistency techniques and post-processing Experience with Premiere Pro, After Effects or similar for final assembly and polish Strong grasp of visual storytelling, pacing, composition and cinematic language Ability to keep character and scene consistency across AI-generated sequences High ownership, an experimental mindset and fast iteration cycles Fluent English and strong communication skills Fully comfortable working with uncensored models and explicit adult content Advantages Experience in AI-native storytelling or filmmaking Background in 3D, VFX, technical art or colour grading Familiarity with training and customising models (LoRAs, embeddings, fine-tuning) Prior experience in adult, dating or adjacent creative industries BENEFITS: Fully remote working from Europe B2B contract preferred, full-time Opportunity to own safety in a new, high-impact role on a product with 50M+ users And many more!!!

Location: Paris, Remote Workplace: remote Our Security and IT team keeps the 360Learning platform secure, compliant and auditable for the 1,500 organisations that learn on it every day. As a Senior DevSecOps Engineer, your mission is to make our infrastructure secure by design, detectable by default, and provable at audit time. 360Learning runs its learning platform on Azure and Kubernetes, certified ISO 27001:2022 and SOC 2 Type II. Over the past two years the technical security workload has grown on every front: a larger and more regulated customer base sending their own scans and security assessments, a wider detection and response scope, more infrastructure to keep hardened and auditable, and a growing backlog of security engineering projects that never reach the top of the queue. We are creating this position to add real technical capacity on the infrastructure side of security, and to move part of our security posture from manual effort to automated guardrails. You will be the bridge between security and platform engineering: deep enough in infrastructure to fix things yourself, and close enough to security operations to know what to look for. “Ours is a small, senior team with a broad scope: information security, compliance, infrastructure governance and internal tooling, with dual audit accountability on ISO 27001:2022 and SOC 2 Type II. That means direct impact and no layers between you and the decision. Roughly half of this role is greenfield build work you will own end to end.” Guillaume Seigneuret, CISO and Hiring Coach. Within 1 month, you will: Complete our onboarding and learn how we work through our own platform and our Convexity culture Map our Azure and AKS environment, our detection and logging coverage, and our ISO 27001 and SOC 2 control scope with the CISO and the Security Engineer Meet the DevOps, platform engineering and IT teams you will work with daily Shadow alert triage and one customer security assessment end to end Within 3 months, you will: Be autonomous on our AKS and Azure environment and handle infrastructure related alerts end to end Have shipped at least one concrete hardening or automation improvement in production Own the infrastructure scope of vulnerability management, from triage to remediation follow up Within 6 months, you will: Have the honeypot live and producing high fidelity alerts Have measurably widened SIEM connector coverage, with documented log sources and retention Run infrastructure vulnerability remediation on a predictable cycle with SLA reporting Within 12 months, you will: Manage detection content as code, with reviewed and tested rules and documented runbooks Have largely automated audit evidence on the infrastructure scope Have eliminated long lived credentials on the critical paths, so engineering teams ship on secure defaults they did not have to think about The Skill Set: 5+ years in infrastructure, cloud or platform engineering with a strong security focus, or in security engineering with hands on infrastructure practice Production experience with Kubernetes: RBAC, network policies, admission controllers, secrets handling, workload identity, runtime security Solid cloud experience, ideally Azure. Strong AWS or Google Cloud experience with a genuine interest in converting works too Infrastructure as code: Terraform, GitOps workflows, CI/CD pipelines Scripting and automation: Python or Go, plus shell. Comfortable reading and writing code, and opening pull requests on repositories owned by other teams Log analysis and investigation: cloud audit logs, query languages, correlation across identity, network and application sources Fluent English (US/UK) / B2 level or equivalent (FR). Enthusiasm for our working environment explained here: https://bit.ly/Convexity360L What we offer: Compensation: Package includes base salary, a variable component and equity 📈 Benefits/Perks : Work From Home stipend, RTT, lunch vouchers, medical insurance, gym subscription, 1 month parental leave for the second parent. Balance: Flexible hours, full remote work possible anywhere in France 🏠 Diversity, Equity, and Inclusion : We have 6 active ERGs including Mental Health, Environmental/Sustainability, Women, Parents, LGBTQIA2S+, and Ethnic Diversity. Each group has at least one executive team member serving as a member of the group, bringing greater awareness to each group’s activities and providing a quick path to impact 🤝 Corporate Social Responsibility : Review our CSR Charter: 360learning.com/blog/corporate-social-responsibility-charter 🌎🌏🌍 Culture: A framework that will help you make an impact - envision our way of working and our Convexity Culture: https://bit.ly/Convexity360L & find out more about the teams, product and processes https://bit.ly/42H1ggC 🚀👩🏻‍💻🏆 Interview Process: Phone Screen with our Talent Acquisition Manager Discovery Meeting with our Head of Security Live exercise with our Head of Security and our Head of Devops: investigation of an incident scenario, or review of an insecure infrastructure configuration Clarification Meeting with the Security Engineer and a DevOps engineer Culture Fit Meeting with our VP of Engineering Offer! Who We Are 360Learning enables companies to upskill from within by turning their experts into champions for employee, customer, and partner growth. With our LMS for collaborative learning, Learning & Development teams can accelerate upskilling with the help of internal experts instead of slow top-down training. 360Learning is the easiest way to onboard and upskill employees, train customer-facing teams, and enable customers and partners–all from one place. 360Learning powers the future of work at 1,700 organizations. Founded in 2013, 360Learning has raised $240 million with 400+ team members across North America and EMEA. Learning Includes Everyone. In concert with our culture, 360Learning believes learning includes everyone and that means embracing the strengths of diversity, connectedness, and inclusion. Through conscientious efforts, our global footprint celebrates cultures, perspectives, and experiences from all over the world to support our platform that is built for all regardless of race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. Thus, 360Learning is proud to be an equal opportunity workplace, and we commit to continue this throughout our processes for recruitment, compensation, benefits, performance, promotion, and all other conditions and terms of employment. We want to learn from and with you!

Задачи: — Разрабатывать и развивать backend-сервисы на PHP и Symfony. — Проектировать архитектуру новых решений и продуктов. — Совместно с менеджерами и представителями клиентов уточнять требования и проектировать функциональность. — Строить асинхронное взаимодействие сервисов через RabbitMQ. — Писать юнит-тесты и следить за качеством кода. — Повышать производительность и стабильность систем, работающих в облаках Яндекс и К2. — Улучшать существующий CI/CD-процесс. — Проводить code review и менторить разработчиков в команде. — Предлагать идеи по улучшению процессов и технических решений. Требования: — Опыт коммерческой разработки на PHP от 5 лет, включая Symfony и работу без фреймворков. — Уверенное знание ООП, SOLID, паттернов проектирования. — Опыт работы с реляционными базами данных: проектирование схем, оптимизация запросов. — Опыт работы с брокерами сообщений (RabbitMQ): очереди, повторные попытки, идемпотентность. — Опыт написания автоматических тестов (PHPUnit). — Опыт менторинга и участия в построении процессов разработки. — Уверенная работа с Git и REST API. — Опыт работы с Docker и CI/CD (GitLab CI, Jenkins). — Опыт работы с PostgreSQL. — Опыт работы с Vue.js. — Будет плюсом опыт работы с облачной инфраструктурой (Yandex Cloud, К2 Облако). — Опыт в финтехе или микрофинансах: скоринг, платежи, интеграции с БКИ, работа с финансовыми данными. Условия: — Приобретение международного опыта и возможность учиться у экспертов в своей сфере. — Возможность внесения новых технических решений. — Работа над долгосрочными проектами. — Разнообразие проектов и возможность развиваться в IT. — Возможности роста и развития внутри компании. — Конкурентная зарплата и гибкий формат работы. — Офис в центре Москвы, метро Цветной Бульвар. — Вкусный кофе и свежие фрукты для коллег. — Программа корпоративных скидок BestBenefits. — Дополнительное медицинское страхование здоровья.

Location: Cyprus; Finland; Ireland; Malta; Montenegro; Sweden What you'll be solving A platform engineer opens their AI client of choice, connects it to CAST AI, and types: "Why did our spend jump 40% in eu-west last week?" Thirty seconds later they have an answer, pulled from live cluster state and cost data, with links back to the evidence. No dashboards. No YAML archaeology. Just a question and a correct, permission-checked answer. Your job is to make that interaction boring. Reliably, securely, at production scale. Behind it sits the hard part: an AI assistant that reasons over thousands of production Kubernetes clusters, a platform that safely exposes company infrastructure to external AI clients, and quality pipelines that tell us when the agent is wrong before a customer does. Get it right, and operators stop clicking through consoles entirely. Get it wrong once, and an agent gives a confidently wrong answer to someone managing production. CAST AI already runs Kubernetes infrastructure autonomously. Our automation makes thousands of cost-and-reliability decisions a day. Cast Pilot is the team building the intelligence layer on top of that: AI assistants for Kubernetes and the cloud itself . Our assistant already answers thousands of questions a month from hundreds of organizations. Now we're opening the platform up: a public, permission-aware MCP server so customers can plug CAST AI straight into their own AI clients and agents, deeper connectivity across all three major clouds (AWS, GCP, Azure), and a continuous push to make our agents smarter, better grounded, and more capable. This is greenfield AI platform work on top of battle-tested infrastructure. Most features ship in 1 to 4 weeks. This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following European countries: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Cyprus, Malta, Finland, Sweden, Ireland, Moldova, North Macedonia, Montenegro, Slovenia, and Ukraine. Requirements Strong software engineering fundamentals: you design clean abstractions, write maintainable code, and can justify your architecture choices, not just make something work. You're a generalist who is as comfortable debugging a distributed system as designing an auth flow or tuning an agent's behavior. Production experience with Go is strongly preferred; candidates without Go should demonstrate strong systems programming skills in a comparable language. Experience building or operating large-scale SaaS platforms in production: multi-tenant systems, high volumes, and the failure modes that only show up at scale. Solid understanding of Kubernetes. Our entire platform runs on it, and the assistants we build answer questions about it. You should be at home with autoscaling, scheduling, and networking concepts. You've personally driven a complex project end-to-end. Hands-on experience with AI coding agents and agentic development workflows. This is how we build, not just what we build. You've used observability tooling in production. CI/CD and DevOps practices experience. Strong English skills, both verbal and written. Startup mindset: adaptable, proactive, and comfortable with ambiguity. What will make you stand out You've built agentic systems that shipped : MCP servers or clients, agent gateways, tool-use orchestration, RAG pipelines, evaluation frameworks, and you can talk about what broke in production and how you found out. This is the single biggest differentiator for our team. Deep hands-on experience with one or more of AWS, GCP, or Azure, with real understanding of IAM, compute, networking, and their APIs, not just console-level usage. Experience with LLM application quality: evaluations, prompt engineering at scale, latency and cost optimization of agent loops. Knowledge of OAuth 2.0 / OIDC and multi-tenant authorization design. Deep knowledge of EKS, GKE, or AKS internals. Kubernetes or cloud-native OSS contributions. Responsibilities Design and build the systems behind our AI assistant: agent flows, context retrieval, and the data connections that let it reason about live Kubernetes infrastructure. Build and evolve our public, permission-aware MCP server : curated tools, identity, audit, and strict safety gates, so customers can use CAST AI from their own AI clients. Develop and maintain cloud connectivity across AWS, GCP, and Azure, and the data foundations our agents build on. Write production Go services that interact with cloud provider APIs, the Kubernetes control plane, and LLM APIs in real time. Own features end-to-end: from design through implementation, testing, and production rollout (most projects ship in 1 to 4 weeks). Debug novel problems: an agent giving a wrong answer, a cross-cloud permission edge case, a data freshness issue that only appears at scale. Build the quality harness: evals, telemetry, feedback loops, that let us ship agent improvements without regressions. Contribute to product direction and backlog. Shape what gets built next, not just how it's built. Participate in the team's on-call rotation. Tools We Use Daily Programming Languages: Go AI & Agents: MCP (servers and clients), agent gateways, LLM provider APIs, RAG, evaluation pipelines Cloud & Orchestration: Kubernetes, AWS, GCP, Azure Infrastructure as Code: Terraform Databases & Storage: PostgreSQL, Cloud Object Storage, ClickHouse Workflows & APIs: Temporal, GCP Pub/Sub, gRPC, REST Observability & Product Analytics: Prometheus, Grafana, Loki, Tempo, PostHog CI/CD & GitOps: GitLab/GitHub CI with ArgoCD and Kargo What's in it for you? Competitive salary (€6,500 to €9,000 gross, depending on the level of experience) Work on genuinely new problems: production MCP platforms and AI assistants for Kubernetes and cloud infrastructure are not solved domains. You'll be defining them, not following a playbook. Equity options. Real users, fast: your work ships to hundreds of organizations in weeks, not quarters. Enjoy a flexible, remote-first global environment. Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology. Spend 10% of your work time on personal projects or self-improvement. Learning budget for professional and personal development, including access to international conferences and courses. Annual hackathon to spark new ideas and strengthen team bonds. Team-building budget and company events to connect with your colleagues. Equipment budget to ensure you have everything you need. Extra days off to help maintain a healthy work-life balance. Hiring process Screening call with Recruiter Hiring Manager interview Technical interview (system design) Live coding Culture Check interview with an executive As part of our standard hiring process, a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr. Please note that Cast AI does not provide any form of visa sponsorship/work permit. #LI-Remote

Location: European Union What you'll be solving A platform engineer opens their AI client of choice, connects it to CAST AI, and types: "Why did our spend jump 40% in eu-west last week?" Thirty seconds later they have an answer, pulled from live cluster state and cost data, with links back to the evidence. No dashboards. No YAML archaeology. Just a question and a correct, permission-checked answer. Your job is to make that interaction boring. Reliably, securely, at production scale. Behind it sits the hard part: an AI assistant that reasons over thousands of production Kubernetes clusters, a platform that safely exposes company infrastructure to external AI clients, and quality pipelines that tell us when the agent is wrong before a customer does. Get it right, and operators stop clicking through consoles entirely. Get it wrong once, and an agent gives a confidently wrong answer to someone managing production. CAST AI already runs Kubernetes infrastructure autonomously. Our automation makes thousands of cost-and-reliability decisions a day. Cast Pilot is the team building the intelligence layer on top of that: AI assistants for Kubernetes and the cloud itself . Our assistant already answers thousands of questions a month from hundreds of organizations. Now we're opening the platform up: a public, permission-aware MCP server so customers can plug CAST AI straight into their own AI clients and agents, deeper connectivity across all three major clouds (AWS, GCP, Azure), and a continuous push to make our agents smarter, better grounded, and more capable. This is greenfield AI platform work on top of battle-tested infrastructure. Most features ship in 1 to 4 weeks. This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following European countries: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Cyprus, Malta, Finland, Sweden, Ireland, Moldova, North Macedonia, Montenegro, Slovenia, and Ukraine. Requirements Strong software engineering fundamentals: you design clean abstractions, write maintainable code, and can justify your architecture choices, not just make something work. You're a generalist who is as comfortable debugging a distributed system as designing an auth flow or tuning an agent's behavior. Production experience with Go is strongly preferred; candidates without Go should demonstrate strong systems programming skills in a comparable language. Experience building or operating large-scale SaaS platforms in production: multi-tenant systems, high volumes, and the failure modes that only show up at scale. Solid understanding of Kubernetes. Our entire platform runs on it, and the assistants we build answer questions about it. You should be at home with autoscaling, scheduling, and networking concepts. You've personally driven a complex project end-to-end. Hands-on experience with AI coding agents and agentic development workflows. This is how we build, not just what we build. You've used observability tooling in production. CI/CD and DevOps practices experience. Strong English skills, both verbal and written. Startup mindset: adaptable, proactive, and comfortable with ambiguity. What will make you stand out You've built agentic systems that shipped : MCP servers or clients, agent gateways, tool-use orchestration, RAG pipelines, evaluation frameworks, and you can talk about what broke in production and how you found out. This is the single biggest differentiator for our team. Deep hands-on experience with one or more of AWS, GCP, or Azure, with real understanding of IAM, compute, networking, and their APIs, not just console-level usage. Experience with LLM application quality: evaluations, prompt engineering at scale, latency and cost optimization of agent loops. Knowledge of OAuth 2.0 / OIDC and multi-tenant authorization design. Deep knowledge of EKS, GKE, or AKS internals. Kubernetes or cloud-native OSS contributions. Responsibilities Design and build the systems behind our AI assistant: agent flows, context retrieval, and the data connections that let it reason about live Kubernetes infrastructure. Build and evolve our public, permission-aware MCP server : curated tools, identity, audit, and strict safety gates, so customers can use CAST AI from their own AI clients. Develop and maintain cloud connectivity across AWS, GCP, and Azure, and the data foundations our agents build on. Write production Go services that interact with cloud provider APIs, the Kubernetes control plane, and LLM APIs in real time. Own features end-to-end: from design through implementation, testing, and production rollout (most projects ship in 1 to 4 weeks). Debug novel problems: an agent giving a wrong answer, a cross-cloud permission edge case, a data freshness issue that only appears at scale. Build the quality harness: evals, telemetry, feedback loops, that let us ship agent improvements without regressions. Contribute to product direction and backlog. Shape what gets built next, not just how it's built. Participate in the team's on-call rotation. Tools We Use Daily Programming Languages: Go AI & Agents: MCP (servers and clients), agent gateways, LLM provider APIs, RAG, evaluation pipelines Cloud & Orchestration: Kubernetes, AWS, GCP, Azure Infrastructure as Code: Terraform Databases & Storage: PostgreSQL, Cloud Object Storage, ClickHouse Workflows & APIs: Temporal, GCP Pub/Sub, gRPC, REST Observability & Product Analytics: Prometheus, Grafana, Loki, Tempo, PostHog CI/CD & GitOps: GitLab/GitHub CI with ArgoCD and Kargo What's in it for you? Competitive salary (€6,500 to €9,000 gross, depending on the level of experience) Work on genuinely new problems: production MCP platforms and AI assistants for Kubernetes and cloud infrastructure are not solved domains. You'll be defining them, not following a playbook. Equity options. Real users, fast: your work ships to hundreds of organizations in weeks, not quarters. Enjoy a flexible, remote-first global environment. Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology. Spend 10% of your work time on personal projects or self-improvement. Learning budget for professional and personal development, including access to international conferences and courses. Annual hackathon to spark new ideas and strengthen team bonds. Team-building budget and company events to connect with your colleagues. Equipment budget to ensure you have everything you need. Extra days off to help maintain a healthy work-life balance. Hiring process Screening call with Recruiter Hiring Manager interview Technical interview (system design) Live coding Culture Check interview with an executive As part of our standard hiring process, a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr. Please note that Cast AI does not provide any form of visa sponsorship/work permit. #LI-Remote

Location: Estonia; Greece; Latvia; Lithuania; Poland; Slovakia; Ukraine What you'll be solving A platform engineer opens their AI client of choice, connects it to CAST AI, and types: "Why did our spend jump 40% in eu-west last week?" Thirty seconds later they have an answer, pulled from live cluster state and cost data, with links back to the evidence. No dashboards. No YAML archaeology. Just a question and a correct, permission-checked answer. Your job is to make that interaction boring. Reliably, securely, at production scale. Behind it sits the hard part: an AI assistant that reasons over thousands of production Kubernetes clusters, a platform that safely exposes company infrastructure to external AI clients, and quality pipelines that tell us when the agent is wrong before a customer does. Get it right, and operators stop clicking through consoles entirely. Get it wrong once, and an agent gives a confidently wrong answer to someone managing production. CAST AI already runs Kubernetes infrastructure autonomously. Our automation makes thousands of cost-and-reliability decisions a day. Cast Pilot is the team building the intelligence layer on top of that: AI assistants for Kubernetes and the cloud itself . Our assistant already answers thousands of questions a month from hundreds of organizations. Now we're opening the platform up: a public, permission-aware MCP server so customers can plug CAST AI straight into their own AI clients and agents, deeper connectivity across all three major clouds (AWS, GCP, Azure), and a continuous push to make our agents smarter, better grounded, and more capable. This is greenfield AI platform work on top of battle-tested infrastructure. Most features ship in 1 to 4 weeks. This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following European countries: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Cyprus, Malta, Finland, Sweden, Ireland, Moldova, North Macedonia, Montenegro, Slovenia, and Ukraine. Requirements Strong software engineering fundamentals: you design clean abstractions, write maintainable code, and can justify your architecture choices, not just make something work. You're a generalist who is as comfortable debugging a distributed system as designing an auth flow or tuning an agent's behavior. Production experience with Go is strongly preferred; candidates without Go should demonstrate strong systems programming skills in a comparable language. Experience building or operating large-scale SaaS platforms in production: multi-tenant systems, high volumes, and the failure modes that only show up at scale. Solid understanding of Kubernetes. Our entire platform runs on it, and the assistants we build answer questions about it. You should be at home with autoscaling, scheduling, and networking concepts. You've personally driven a complex project end-to-end. Hands-on experience with AI coding agents and agentic development workflows. This is how we build, not just what we build. You've used observability tooling in production. CI/CD and DevOps practices experience. Strong English skills, both verbal and written. Startup mindset: adaptable, proactive, and comfortable with ambiguity. What will make you stand out You've built agentic systems that shipped : MCP servers or clients, agent gateways, tool-use orchestration, RAG pipelines, evaluation frameworks, and you can talk about what broke in production and how you found out. This is the single biggest differentiator for our team. Deep hands-on experience with one or more of AWS, GCP, or Azure, with real understanding of IAM, compute, networking, and their APIs, not just console-level usage. Experience with LLM application quality: evaluations, prompt engineering at scale, latency and cost optimization of agent loops. Knowledge of OAuth 2.0 / OIDC and multi-tenant authorization design. Deep knowledge of EKS, GKE, or AKS internals. Kubernetes or cloud-native OSS contributions. Responsibilities Design and build the systems behind our AI assistant: agent flows, context retrieval, and the data connections that let it reason about live Kubernetes infrastructure. Build and evolve our public, permission-aware MCP server : curated tools, identity, audit, and strict safety gates, so customers can use CAST AI from their own AI clients. Develop and maintain cloud connectivity across AWS, GCP, and Azure, and the data foundations our agents build on. Write production Go services that interact with cloud provider APIs, the Kubernetes control plane, and LLM APIs in real time. Own features end-to-end: from design through implementation, testing, and production rollout (most projects ship in 1 to 4 weeks). Debug novel problems: an agent giving a wrong answer, a cross-cloud permission edge case, a data freshness issue that only appears at scale. Build the quality harness: evals, telemetry, feedback loops, that let us ship agent improvements without regressions. Contribute to product direction and backlog. Shape what gets built next, not just how it's built. Participate in the team's on-call rotation. Tools We Use Daily Programming Languages: Go AI & Agents: MCP (servers and clients), agent gateways, LLM provider APIs, RAG, evaluation pipelines Cloud & Orchestration: Kubernetes, AWS, GCP, Azure Infrastructure as Code: Terraform Databases & Storage: PostgreSQL, Cloud Object Storage, ClickHouse Workflows & APIs: Temporal, GCP Pub/Sub, gRPC, REST Observability & Product Analytics: Prometheus, Grafana, Loki, Tempo, PostHog CI/CD & GitOps: GitLab/GitHub CI with ArgoCD and Kargo What's in it for you? Competitive salary (€6,500 to €9,000 gross, depending on the level of experience) Work on genuinely new problems: production MCP platforms and AI assistants for Kubernetes and cloud infrastructure are not solved domains. You'll be defining them, not following a playbook. Equity options. Real users, fast: your work ships to hundreds of organizations in weeks, not quarters. Enjoy a flexible, remote-first global environment. Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology. Spend 10% of your work time on personal projects or self-improvement. Learning budget for professional and personal development, including access to international conferences and courses. Annual hackathon to spark new ideas and strengthen team bonds. Team-building budget and company events to connect with your colleagues. Equipment budget to ensure you have everything you need. Extra days off to help maintain a healthy work-life balance. Hiring process Screening call with Recruiter Hiring Manager interview Technical interview (system design) Live coding Culture Check interview with an executive As part of our standard hiring process, a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr. Please note that Cast AI does not provide any form of visa sponsorship/work permit. #LI-Remote

Location: Amsterdam Workplace: OnSite ABOUT US Tebi is building a modern connected hospitality operating system that helps entrepreneurs run their business more intelligently and smoothly. In one seamless platform, Tebi embeds sales, reservations, kitchen, inventory, and payments (as well as all the data that powers it) helping to automate work, streamline operations, and give hospitality owners the clarity and time they need to focus on what matters the most: creating great guest experiences. Founded by Arnout Schuijff, co-founder of Adyen, and backed by €50 million in funding from Index Ventures & CapitalG, Tebi is build in service of hospitality first. Thousands of restaurants, cafés, bars, and coffee shops across the Netherlands, UK, Spain, Italy, Denmark, Germany, Finland, and Ireland. ABOUT THE ROLE As the Senior Product Manager on our AI team, you'll own how AI shows up in Tebi, from an AI agent embedded in the product to the AI capabilities that run through the platform. Tebi sits on a unified foundation of sales, payments, reservations, kitchen and inventory data, which gives our AI something most restaurant software can't offer: the full picture. You'll own the vision, strategy and roadmap, and turn that data into agents and features that save merchants time, cut costs and help them make better decisions on a busy service. WHAT YOU’LL DO: - Define and own the vision and roadmap for Tebi's AI agent and AI capabilities across the product. - Work with AI engineers and data teams to ship agentic features that take real actions for merchants, not just answer questions. - Spend time with restaurant owners, managers and staff, plus Sales and Customer Success, to find the jobs where AI genuinely removes friction in their day. - Define how we measure quality and trust in AI features, including evals, accuracy, adoption and merchant outcomes, and use that to iterate quickly. - Decide where AI belongs in the product and where it doesn't, including guardrails, human-in-the-loop moments and when the merchant makes the final call. - Partner with all the other product teams so AI feels native to Tebi rather than bolted on. WHAT YOU'LL NEED: - 8+ years of product management experience at a fast-growing tech company, with a track record of shipping impactful launches. - You are highly collaborative, able to partner effectively across the organization and build trust with both technical and operational teams. - Hands-on experience building AI-powered products and a solid grasp of their strengths and limits. - A data-driven mindset: you combine quantitative signals and qualitative feedback, and you know how to evaluate non-deterministic products. - You care about the balance between craft, speed, and outcomes. This probably isn't the role for you if you're happiest on a structured environment with clear directions. We are looking for someone to set the direction and the vision for this team. People who succeed at Tebi are independent, curious and passionate about hospitality. If this speaks to you we can be the right fit. Learn more about how we work from our Recipe here: https://www.tebi.com/gb/careers. BENEFITS: - Generous start-up equity - Competitive Salary - Lunch provided in the office - Team building events - Unlimited time off What is Restaurant Software? Restaurants and other merchants use various software systems such as Point of Sale (POS), Reservations, Kitchen Display Systems (KDS), Payments, Inventory, Staffing, and the list goes on. These systems all need to speak to each other which they frequently don't. It's a mess, and we are fixing it. From buying a croissant at a cafe to having dinner with friends, it's a €4 Trillion+ global market and a critical part of everyday life in today's economy. How We Use AI at Tebi We use AI the way our merchants use Tebi, to cut out the friction and get to what matters faster. We believe in a world where AI increases quality, efficiency and speed. At Tebi, AI isn't a policy or a checkbox, it's just part of how we work. It helps us write, analyse, build, and improve but doesn't make the last call. If there's a smarter way to do something, we want to find it.

Location: UK - Office - London Who is Tenable? Tenable® is the Exposure Management company. Over 40,000 organizations around the globe rely on Tenable to understand and reduce cyber risk. Our global employees support 65 percent of the Fortune 500, 50 percent of the Global 2000, and large government agencies. Come be part of our journey! What makes Tenable such a great place to work? Ask a member of our team and they’ll answer, “Our people!” We work together to build and innovate best-in-class cybersecurity solutions for our customers; all while creating a culture of belonging, respect, and excellence where we can be our best selves. When you’re part of our #OneTenable team, you can expect to partner with some of the most talented and passionate people in the industry, and have the support and resources you need to do work that truly matters. We deliver results that exceed expectations and we win together! Your Role: As Senior Director, EMEA Marketing, you have the opportunity to shape the strategy and execution of full stack marketing in Tenable’s fastest growing theater. This is a unique opportunity to operate as the region's marketing lead across: field and demand generation, channel marketing, advertising, communications, and social. You own the ideas and decisions that drive pipeline creation and advancement across EMEA, and you are the primary marketing partner to sales leadership in turning that strategy into bookings. You lead a team of proven regional marketing managers across the theater, and you report to the Global SVP, Revenue Marketing. Your Opportunity: Marketing Strategy & Cross-Functional Influence Operate as a “regional CMO” for EMEA — equally comfortable setting integrated marketing strategy, doing a brief on an ad campaign, reviewing a communications plan, or defending pipeline attribution in a QBR, rather than specializing in a single discipline. You are a member of the well respected Global Revenue Marketing leadership team that has dramatically shaped and shifted the Tenable brand and the very idea of marketing’s importance to the business. Stay current on modern marketing technology and strategy (intent data, ABM, attribution modeling, AI-enabled marketing tools) and bring that fluency to how the theater’s marketing programs are built, measured, and evolve. Collaborate closely with global marketing teams—including product marketing, brand, and corporate communications—to localize initiatives for the EMEA region while relaying critical regional needs back to headquarters. Pipeline Creation, Advancement & Attribution Redefine our integrated go-to-market plans with your new viewpoint across the regions to bridge company targets with local revenue benchmarks. Build long-lasting and collaborative partnerships with corporate functions and field sales executives to secure the alignment needed to drive marketing impact and efficiency. Drive pipeline creation and progression across EMEA while measuring marketing's attribution to pipeline as a core measure of this role's success. Use data and modern marketing/revenue technology — CRM, marketing automation, intent and account-based platforms, BI/analytics, and AI — to continuously identify where investment is and isn't converting, and YOU decided how to reallocate resources and program funds accordingly. Team, Regional & Channel Leadership Be a leader that leads from the front, inspiring and driving a team across EMEA marketing, setting priorities, developing talent, and ensuring consistent execution across countries and sub-regions. Maintain fiscal governance for the theater, overseeing resource allocation and fund distribution across sub-regions with clear strategic guidance. Representing Tenable at various events; from presenting to partner relations and customer insights As a channel-led organization, this position owns how distributors, resellers, and strategic partners are enabled, funded, and activated—utilizing MDF, joint marketing initiatives, and partner enablement programs to accelerate pipeline generation. Sales Partnership Serve as the primary marketing partner to Tenable's EMEA Theater Sales SVP and country/segment sales leaders — co-owning pipeline coverage plans, forecast conversations, and go-to-market execution. Represent marketing in regional sales leadership forums, with a clear point of view on where the pipeline is healthy, where it's at risk, and what marketing will do about it. True understanding of the requirements from each regional sales leader from a market perspective.  Being present in each region at least once a year for sales relationship, partner meetings and team connect. What You'll Need: 10+ years of B2B marketing experience, including 5+ years in a marketing leadership role managing people and budgets. A demonstrated track record as a broad, full-funnel marketer —with a key focus on numbers as well as driving social media to cast a bigger shadow  Demand generation is core to your background. Experience owning a marketing budget of comparable scale, with direct management of multi-million-dollar spend and influence over a larger pool. A strong track record partnering with sales leadership, including comfort presenting pipeline and marketing-attribution data to senior sales and executive stakeholders. Solid understanding of channel/partner marketing dynamics — this is a channel-led business, and comfort working through distributors and resellers is required. Fluency with modern marketing technology and strategy, including being AI-forward: marketing automation/CRM platforms, intent and account-based marketing tools, and data/analytics platforms. Cybersecurity industry experience is strongly preferred; candidates from other B2B industries will be considered. Fluent English required; no additional language requirement. Based in London, UK, with a hybrid work model; regular travel across the EMEA theater is required. #LI-DD1 #LI-Hybrid We’re committed to promoting Equal Employment Opportunity (EEO) at Tenable - through all equal employment opportunity laws and regulations at the international, federal, state and local levels.  If you need a reasonable accommodation due to a disability during the application or recruiting process, please contact Recruiting@Tenable.com for further assistance. Tenable Data Consent Statement Tenable is committed to protecting the privacy and security of your personal data. Depending on your location, one or more of the following notices may apply to you: General Applicant Privacy Notice California Applicant Privacy Notice EU/EEA/UK Applicant Privacy Notice

Responsibilities: — Join a small TTS team to improve LLM-based TTS technologies — Focus on production quality and expand TTS to new languages Requirements: — At least 3 years of experience in speech technology — Practical experience with TTS using LLM approaches — Proficiency in deep learning frameworks, especially PyTorch — Strong Python programming skills and solid software engineering practices — Bachelor’s degree or higher in Computer Science or related field

Location: London, United Kingdom; Dubai, United Arab Emirates Workplace: fully We are hiring for this position to be based in Dubai (UAE) or Eastern Europe. Praktika is an AI-native education company on a mission to deliver efficient, engaging language learning to billions of people worldwide. We're bridging the gap between traditional learning apps and human tutors through a fully automated tutorship experience powered by generative AI avatars. Since launching our mobile apps in 2023, we've reached over 30 million learners and grown to over 2 million monthly active users, become one of the world's top-4 learning apps, and recently closed a $30M Series A to accelerate our roadmap. We're a fully distributed team of ~50 people across 4 continents and 15+ countries, working asynchronously to ship fast and operate at a high bar. We're hiring a Lead DevOps Engineer to own all of Praktika's infrastructure and all access to it. This is a hands-on role with real leadership: you'll set the direction for our infrastructure, build it, run it, and keep it secure, reliable, cost-efficient and fast as we grow. You'll work with every engineering team and with non-engineering teams too. We are rebuilding how the company works around AI, and infrastructure is where that has to be made safe. What you'll do Own the infrastructure end to end: design, build and run our AWS-based infrastructure, and be the owner when it fails. Own identity and access for the whole company: cloud accounts, vendors, internal tools, onboarding and offboarding. Own infrastructure security (IAM, networks, secrets, audit logs) and the technical part of compliance: ISO 27001, SOC 2, GDPR. Keep costs visible and under control across clouds and AI vendors. Run the hosting and inference infrastructure for our ML and LLM models. Close repeated operational requests with automation and self-service, not with tickets and manual console changes. Rebuild infrastructure processes around AI: code review, monitoring and observability, alert triage, incident investigation. Build the place where internal tools and apps, built with AI by engineers and non-engineers, are deployed safely, reviewed and monitored. Build your own tools with AI too. Give delivery teams golden paths (service templates, CI/CD, safe deploys, alerts) that make the standard way the easy way, without blocking teams. What we're looking for We're looking for outstanding engineers who thrive in a challenging environment, bring a growth mindset, and operate with a high degree of agency, devotion, and autonomy. Required Ownership mindset: you make decisions and finish work without supervision. Deep hands-on AWS experience in production, including containers on ECS. Infrastructure as code (Terraform) as your normal way of working. A solid security foundation and a real interest in security. You have already built working tools with AI coding agents, and you use AI in your daily work. You have changed how other teams work without formal authority over them. You have set a technical direction and split large projects into deliverable parts. Ability to thrive in an async, distributed, written-first culture. Bonus DevSecOps experience and an understanding of how attacks work. Hands-on work on SOC 2, ISO 27001 or GDPR. Experience with clouds other than AWS. Experience with infrastructure for ML / LLM inference. Prior experience at an early-stage or high-growth consumer product company. Our stack AWS (containers, serverless, managed databases, CDN), Terraform, GitHub Actions, Datadog, SQL and NoSQL databases, event streaming, a data warehouse, hosted ML / LLM inference, and others. How we work Mission-driven: we're building the #1 language learning app and competing to win. AI-native: AI isn't a feature; it's how we think, build, and scale. Extreme ownership: every project has a clear owner who drives it to success. Less meetings, more outputs: async first; meetings are a last resort. Speed & excellence: move fast without compromising quality. Truly all-in: impactful work, full commitment, real rewards. Data-driven: decisions are based on evidence, not opinion. User-obsessed: if it doesn't improve the learner experience, it doesn't matter. What we offer Room to grow: as you prove yourself, your scope can grow to Head of Platform (backend team). Equity that grows with your impact (stock options). 26 days of holiday plus bank holidays (34 days per year total). Annual company off-site (last year: Dubai). Health and wellness benefits via SafetyWing. Full AI toolkit access: Claude, Cursor, Codex, and other productivity tools. $1,000 annual education and learning budget. Fully remote, based in Dubai or Eastern Europe. Interview Process: Intro interview with our Head of Talent. Technical interviews with our CTO. Culture interview with a member of the leadership team. Peer interview with an engineer from the team. No take-home task. We will provide you with feedback throughout the interview process.

Задачи: — Обработка обращений 3-й линии поддержки, их анализ и закрытие по продуктам команды. — Написание и актуализация инструкций по типовым обращениям. — Взаимодействие с заказчиками. Требования: — Знание основных типов коллекций. — Базовые умения работы с файлами (Directory, File, FileInfo). — Базовое знание принципов DRY, KISS, SOLID, GRASP, GOF. — Понимание основных принципов работы с системой контроля версий. — Опыт написания unit-тестов, знание хотя бы одного инструмента из MsTest, NUnit, xUnit, умение пользоваться моками. — Навыки обработки исключений в C#. — Умение работать с библиотеками логирования: NLog, Serilog и др. — Базовое понимание CSS и HTML5. — Общее понимание принципов работы СУБД. — Понимание принципов работы REST и RESTful-сервисов. — Опыт работы со Swagger как инструментом живой документации. — Базовое понимание принципов работы PowerShell или скриптов *NIX. Условия: — Удалённая работа. — Старт в проекте ASAP. Продукты команды: — Система внутреннего документооборота. — Система сканирования и обработки бумажных документов. — Система взаимодействия с внешним ЭДО (Контур.Диадок). — Процессы RPA (совместно с RPA разработчиком). — Система интеграций и вебсервисов.