Вакансии

Задачи: — Оптимизация тарифов и условий сотрудничества с PSP. — Контроль проведения операций и сверка данных с внутренним учетом. — Аналитика движения средств и составление отчетов. — Работа с альтернативными методами оплат. — Управление балансами и своевременное пополнение счетов. Требования: — Стаж работы в аналогичной должности от 1 года. — Экспертное владение Excel и Google Таблицами (сводные, ВПР). — Английский язык на уровне Advanced / Fluent (для ведения переписки, переговоров и чтения договоров без перевода). — Soft skills: системное аналитическое мышление, критическое мышление, хорошие коммуникативные навыки, стрессоустойчивость. Условия: — Работа в международной компании. — Официальное трудоустройство на Кипре. — График 5/2, короткая пятница. — Комфортный офис в Лимассоле. — Обучение за счёт компании — курсы, сертификации, развитие. — Льготы: day off / sick day, Benefit Cafe, компенсация медицины, компенсация языков. — Корпоративная жизнь и ивенты.

Location: New York City, NY; San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are looking for software engineers to help build safety and oversight mechanisms for our AI systems. As a software engineer on the Safeguards team, you will work to monitor models, prevent misuse, and ensure user well-being. This role will focus on building distributed and scalable systems to detect unwanted model behaviors and prevent disallowed use of models. You will apply your technical skills to uphold our principles of safety, transparency, and oversight while enforcing our terms of service and acceptable use policies. Responsibilities: Independently scope and lead complex, multi-month infrastructure projects, from an ambiguous starting point through to a production system Develop monitoring systems to detect unwanted behaviors from our API partners and potentially take automated enforcement actions; surface these in internal dashboards to analysts for manual review Stand up and run deployments of those monitoring systems across multiple clouds, including inside cloud-provider partner environments where data residency laws apply. Keep the deployments consistent through shared deployment pipelines, smoke tests, observability, and alerting Design and harden the sandboxed runtime that AI agents execute in: isolation, network egress controls, least-privilege data access, audit logging, and insider-risk controls Manage cost and capacity for large volumes of long-running agent work, and set and meet service-level objectives for the platform Partner with the engineers and researchers who write and evaluate the monitoring agents, and with security, privacy, and legal teams, so new detection work can ship quickly on a platform everyone trusts You may be a good fit if you: Bachelor’s degree in Computer Science, Software Engineering or comparable experience Proficiency in Python, Distributed Systems, and Infrastructure as Code Have worked across multiple cloud providers, or built infrastructure designed to be provider-agnostic Have built and operated large-scale, distributed infrastructure, such as data platforms, control planes, or job schedulers Have experience with sandboxing and isolation technologies (containers, microVMs, network policy) or with a systems language such as Rust Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders Strong candidates may also: 8+ years of experience in a software engineering position, not including internships Have built systems that handle sensitive or regulated data, with requirements around access control, auditability, retention, and data residency Have experience running LLM-based agents in production Have experience with integrity, spam, fraud, or abuse detection and mitigation Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

SportSpired Games, an international studio focused on developing advanced sports simulators, is seeking a Marketing Director. The ideal candidate should have over five years of leadership experience in gaming marketing, with a proven history of launching PC and/or console games. Expertise in both brand and performance marketing is essential, along with familiarity with Premium and Free-to-Play products. A deep understanding of player acquisition and retention strategies is required, as well as experience in managing marketing budgets and campaigns. Strong communication skills and the ability to manage stakeholders effectively are important. Professional proficiency in English is also necessary.

Location: Limassol, Cyprus Workplace: on-site Mayflower is a technology company building large-scale entertainment products for a global audience. Our platforms serve millions of users worldwide and rank among the top-50 most visited websites globally. For more than 10 years, we've been creating reliable, high-performance solutions at the intersection of product, engineering, and entertainment. Responsibilities Design, develop and maintain data pipelines (python, SQL, Airflow, dbt, k8s, Spark) Support data platform in terms of data integrations, data quality, technical implementation Conduct new data integrations Ensure data quality Documenting your solutions Provide support to analytic teams Important/challenging tasks: Develop a centralized Data Store. Design and build resilient data transformation pipelines across multiple business domains. Develop tools and frameworks for data transformation. You’ll thrive here if you have At least 3 years working as a data engineer Python programming (outside of Airflow) Working with docker SQL advanced Kafka, Airflow, Spark dbt as a plus Column store DBs (clickhouse as a plus) S3/iceberg as a plus Understanding how web applications work Qualification that can be a plus: Working with k8s (as a plus) Experience with data-mesh approach Conditions We know that great talent deserves great conditions, so here's what you can expect when joining us: EU-based employment contract and a 3-year Cyprus work visa with full support for your relocation and visa processes, including assistance for your family. EU passport. Opportunity to obtain an EU passport after 4 years of residence Full relocation package: flights to Limassol for you and your family, a company-covered apartment for the first month, and full relocation support to make your move smooth and hassle-free. Provident fund (Cypus): a long-term savings plan co-funded by you and the Company together (available after probation) that grows throughout your time with us in Cyprus. Transparent performance reviews twice a year, with bonus opportunities and salary adjustments. Private medical insurance for you and your family Corporate mobile plan (unlimited in Cyprus with roaming included) Mindfulness & well-being support, including psychological assistance with 50% coverage. 50% coverage of school and kindergarten fees for your children. Fully covered sports benefits, and also access to in-house electric scooters and bike rentals Professional growth support: language courses, conferences, training programs, and coaching. Peer recognition program: receive and share kudos for great work. A fully equipped office in Limassol’s city center, with everything you need for deep work and collaboration. Free breakfasts and lunches in the office and an in-house coffee bar with high-quality drinks and a health bar stocked with nutritious snacks. A strong engineering culture: international teams, corporate events, team buildings, and hackathons — because great work happens in great communities.

Location: Sydney, Australia About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Partners Solutions Architect on the Applied AI team at Anthropic, you will be a Pre-Sales architect focused on cultivating technical relationships with our Global and Regional System Integrators (GSIs/RSIs), and our cloud partners . You will strengthen our relationships with key partners to accelerate indirect revenue, enable their AI practices, and execute on long-term GTM strategy. Responsibilities: Strategic Technical Partnership : Be a technical thought partner to the Anthropic GTM partnerships team, providing technical expertise to better understand the partner landscape, driving key strategic programs, and identifying opportunities to deepen partner technical capabilities. Embed with GSI and cloud partner technical teams to enable their AI practices, support troubleshooting, evangelize Anthropic in their developer communities, and serve as an escalation point for complex technical issues. Joint Solution Development: Collaborate with partners to identify high value industry-specific GenAI applications, develop joint solutions and codify reference architectures / best practices to accelerate time to deployment Customer Deal Support: Intervene directly to unblock strategic customer deals where partners are the primary delivery vehicle, providing deep technical expertise and solution architecture guidance. Partner Ecosystem & Events : Represent Anthropic at partner events such as GSI customer workshops, summits, and industry conferences. Lead or support partner-specific developer events, hackathons, and technical enablement sessions, especially for technically native communities. Product Feedback: Validate and gather feedback on Anthropic's products and offerings, especially as they relate to partner use cases and deployment patterns, and deliver this feedback to relevant Anthropic teams to inform product roadmap and partner strategy. You may be a good fit if you have: 10+ years of experience in technical customer-facing/partner-facing roles such as Solutions Architect, Sales Engineer, Partner Sales Engineer Track record of successfully partnering with GSIs and/or cloud providers to solve complex technical challenges, from initial solution design through customer delivery Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more Strong presentation & technical communication skills with the ability to translate requirements between technical and business stakeholders Experience designing scalable cloud architectures and integrating with enterprise systems Familiarity with common LLM frameworks and tools or a background in machine learning or data science Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities A love of teaching, mentoring, and helping others succeed Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Spain; Brazil; United Arab Emirates; Ireland; Peru; Sweden; Colombia; Argentina; Romania; Cyprus; Switzerland; Portugal; Lithuania; South Africa; Czech Republic; Canada; Hungary; Mexico; Chile; Poland; United Kingdom; Bulgaria Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients.   THE OPPORTUNITY - Build and scale a KOL/creator network in Spain, Iberia and other countries for Kraken Pro from the ground up - Drive new trading user acquisition through influencer and creator partnerships across the region - Own end-to-end relationship management with local KOLs, from sourcing to activation - Represent Kraken Pro's derivatives suite — perpetual futures, prop trading, margin — to top regional creators - Fix on-the-ground execution issues that block program performance and iterate fast - Set and own regional KOL acquisition targets and CAC efficiency [A] - Partner cross-functionally with growth, marketing, and compliance teams - Benchmark and adapt a proven KOL playbook     WHAT YOU BRING - Proven track record building an influencer/KOL/creator network from scratch in Spain and/or the Iberia region - Fluent Spanish (Portuguese a plus), deep fluency in the local crypto/trading creator ecosystem - Experience acquiring trading users at scale with a clear eye on CAC - Hands-on, get-it-done approach — solves problems on the ground rather than escalating - High agency — owns regional strategy without waiting for global direction - Understanding of perpetual futures, margin, and prop trading products - Comfortable operating in a fast-moving, ambiguous, 24/7 crypto environment - Strong relationship-management and negotiation skills with creators/KOLs     NICE TO HAVES - Existing personal network of crypto KOLs/creators in Spain/Iberia and other countries - Prior KOL, growth, or influencer marketing role at a crypto exchange       Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on Twitter https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Location: United Kingdom, London Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Role Overview: As a Senior / Staff Data Scientist, you will help shape how PlayStation measures the impact of products, features and commercial initiatives through world-class experimentation, causal inference and applied data science. Working at the intersection of data science, machine learning, product and commercial strategy, you will develop innovative measurement methodologies, define best practices, and provide technical leadership that enables teams across PlayStation to make faster, more confident business decisions. This role goes beyond traditional A/B testing. You will solve complex measurement problems where controlled experiments are difficult or impossible, applying modern causal inference, statistical modelling and machine learning techniques to generate robust business insights. You will collaborate closely with product, engineering, analytics and business teams to raise the standard of experimentation and evidence-based decision-making across the organisation. This is an opportunity to influence strategic decisions impacting millions of PlayStation players while helping establish best-in-class measurement practices across one of the world's leading entertainment companies. What You'll Be Doing: Develop innovative measurement methodologies across experimentation, causal inference and advanced analytics that improve the quality, reliability and scalability of business decision-making across PlayStation. Design robust measurement approaches across randomised experiments, quasi-experimental methods and observational causal inference where controlled experimentation is impractical. Research, evaluate and prototype statistical, machine learning and AI techniques to solve complex real-world measurement challenges. Apply advanced data science and machine learning techniques where appropriate to complement experimentation and support complex business decisions. Define and promote best practices for experiment design, statistical analysis and causal measurement across multiple product and business teams, helping scale experimentation across PlayStation. Partner closely with senior business leaders, product managers, engineers and analysts to identify high-impact measurement opportunities and ensure product and commercial decisions are supported by rigorous evidence. Partner with engineering teams to influence the evolution of PlayStation's experimentation platform and measurement capabilities, ensuring statistical best practices are embedded into future platform development. Provide technical leadership across multiple product and commercial domains, influencing measurement strategy, analytical standards and long-term technical direction through expertise and collaboration. Mentor and develop analysts and data scientists, helping raise technical capability and analytical excellence across the team. Champion a culture of evidence-based decision-making by educating stakeholders, sharing best practices, and communicating advances in experimentation, causal inference and applied data science. Stay current with emerging developments in statistics, machine learning and AI, identifying opportunities to improve measurement capabilities and analytical workflows. Represent the team across PlayStation, building strong partnerships, engaging senior stakeholders, and promoting technical excellence in data science and experimentation. What We're Looking For: Required: Master's degree (or equivalent industry experience) in Statistics, Economics, Mathematics, Computer Science, Data Science or another quantitative discipline. PhD preferred. Strong industry experience (5+ years) applying experimentation, causal inference, statistical modelling and measurement science to solve complex business problems. Deep expertise in experimental design, A/B testing and modern causal inference methods, including quasi-experimental approaches. Experience applying advanced data science, machine learning and statistical modelling techniques to solve complex business problems. Expert-level proficiency in Python and SQL for large-scale analytical workflows. Experience developing reusable analytical methodologies, frameworks or libraries that improve measurement quality and consistency across teams. Demonstrated ability to influence technical direction, promote best practices and drive adoption through collaboration, technical leadership and senior stakeholder engagement. Strong stakeholder management, executive communication and influencing skills, with the ability to translate complex analytical concepts into clear business recommendations for both technical and non-technical audiences. Curiosity, creativity and a pragmatic approach to solving ambiguous, high-impact business problems. Preferred: Experience working in gaming, digital products, consumer technology, e-commerce or subscription businesses. Familiarity with modern data engineering and analytics tooling such as Databricks, Snowflake, Git and Airflow. Experience with modern business intelligence and data visualisation tools such as Tableau, Domo or Power BI. Experience applying AI tools, including large language models (LLMs), to improve data science workflows and analytical productivity. Demonstrated technical leadership through mentoring, publications, conference presentations, open-source contributions or internal communities of practice. What You'll Influence: Measurement strategy for PlayStation's largest product and commercial initiatives. Experimentation best practices adopted across multiple business functions. Strategic product and commercial decisions through rigorous causal evidence. The evolution of PlayStation's measurement and experimentation capabilities. Technical excellence in experimentation, causal inference and applied data science across the organisation. Why You'll Love This Role: Shape how PlayStation measures product and commercial success across a global business. Influence strategic decisions affecting millions of players worldwide. Solve challenging real-world problems using cutting-edge experimentation, causal inference and machine learning techniques. Collaborate with talented scientists, engineers and product leaders on high-impact initiatives. Drive the adoption of best practices in experimentation and evidence-based decision-making across PlayStation. Continue developing your technical expertise while mentoring and growing others. Benefits: Discretionary bonus opportunity Hybrid Working (FlexModes) Private Medical Insurance Dental Scheme 25 days annual leave On-site gym Subsidised café Complimentary soft drinks On-site bar Secure cycle storage and shower facilities Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Задачи: — Проектировать и реализовывать масштабируемые, безопасные и высокопроизводительные решения Adobe Commerce (Cloud и On-premise). — Вести переход от core overrides к расширяемости вне процесса с использованием Adobe App Builder и API-first методологий. — Оптимизировать производительность backend, SQL-запросы и стратегии кэширования (Redis, Varnish, Fastly) для обработки больших пиковых нагрузок. — Разрабатывать и поддерживать современные frontend-решения с использованием Hyvä, PWA Studio или традиционного Luma, обеспечивая высокий Core Web Vitals score. — Строить и управлять сложными интеграциями с ERP, CRM и PIM системами через Adobe I/O Events и RabbitMQ. — Проводить тщательные code review, наставлять mid-level разработчиков и поддерживать высокие стандарты TDD и автоматизированного тестирования. Требования: — Опыт работы 5+ лет с Magento 2 / Adobe Commerce (включая B2B и Cloud editions). — Владение PHP 8.x, MySQL и специализированными поисковыми технологиями, такими как OpenSearch/Elasticsearch или Adobe Live Search. — Экспертные знания GraphQL, REST API и построения decoupled commerce решений. — Опыт работы с Tailwind CSS, Alpine.js (для Hyvä) или React (для PWA Studio). — Знакомство с Adobe Commerce Cloud (ECE), Docker и CI/CD пайплайнами (GitHub Actions/Bitbucket Pipelines). — Наличие сертификата Adobe Certified Professional/Expert/Master (Developer) является значительным плюсом. — Английский язык на уровне intermediate-advanced. — Локация в часовом поясе CET (+/- 3 часа). Условия: — Своевременные ежемесячные выплаты с гибкими опциями вывода. — Предсказуемый график работы: 8 часов в день. — До 24 дней гибких выходных в год без потери оплаты для full-time позиций через Proxify. — Долгосрочные удалённые позиции в ведущих компаниях. — Персонально подобранные вакансии без типичных рекрутинговых барьеров. — Единый процесс контрактации для множества возможностей без дополнительных оценок. — Стабильная оплата каждый месяц при работе через Proxify.

Location: Athens Workplace: OnSite About the company: KIEFER is building Greece's integrated AI ecosystem. From renewable energy infrastructure and AI systems to robotics and enterprise applications, we connect the technologies that power Europe's intelligent future. Founded in 2014, KIEFER has delivered 600MW+ of energy projects and is now developing sovereign AI infrastructure, enterprise AI products and physical AI systems for Greece and Southeast Europe. PAYROLL SPECIALIST | ATHENS KIEFER is looking for a Payroll Specialist to join our HR team in Athens. We are looking for a hands-on payroll professional who can take ownership of payroll operations from data collection and validation through monthly closing, combining strong technical expertise with accuracy, accountability and a technology-driven mindset. WHAT YOU WILL DO • Manage and validate monthly payroll inputs, ensuring accuracy and completeness before payroll closing • Monitor time & attendance, overtime, leave, absences, allowances, benefits and compensation changes • Perform payroll checks, reconciliations and variance analysis before finalization • Manage employee lifecycle documentation, including hires, contractual changes and terminations • Handle payroll-related processes and submissions through ERGANI II • Ensure compliance with Greek labor, payroll and social security legislation • Maintain accurate employee and payroll data across HR and payroll systems • Prepare payroll, headcount and compensation reports • Work closely with HR, Finance, Accounting and external partners • Respond to employee payroll queries accurately and confidentially • Proactively identify payroll risks, inconsistencies and exceptions before they impact payroll closing AI & DIGITAL HR OPERATIONS At KIEFER, AI is part of how we are evolving the way we work. • Actively use KIEFER’s AI ecosystem, including Sophea Nous and Sophea Meet, alongside other digital and automation tools • Apply AI to payroll data validation, anomaly detection, reporting and documentation • Identify opportunities to automate repetitive workflows, improving speed, accuracy and control • Use AI and data tools to support smarter HR operations and decision-making • Continuously challenge existing processes and identify simpler, faster and more effective ways of working WHAT WE ARE LOOKING FOR • Proven experience in Payroll / HR Operations • Strong knowledge of Greek labor, payroll and social security legislation • Practical experience with ERGANI II, time & attendance and payroll processes • Advanced Excel skills and confidence working with payroll and compensation data • Experience with Payroll and/or HRIS platforms • Strong numerical, analytical and problem-solving skills • Excellent attention to detail and a strong control mindset • High level of ownership, accountability and confidentiality • Ability to work independently, manage priorities and deliver accurately within demanding deadlines • Genuine interest in AI, automation and HR technology WHAT SUCCESS LOOKS LIKE Accurate payroll. On-time closing. Reliable data. Strong controls. Clear ownership. Smarter processes. WHY KIEFER This role is an opportunity to combine core payroll expertise with the evolution of a technology-enabled and data-driven HR function, where AI and automation are practical tools for improving execution, controls and decision-making. As part of this evolution, KIEFER is strengthening its approach to fair, transparent and data-driven compensation, with a focus on: • Pay Transparency — strengthening compensation data quality, job and pay structures, and reporting readiness in line with the EU Pay Transparency framework • Gender Pay Equity — using reliable pay data and pay-gap analysis to support consistent and equitable compensation practices If you combine payroll expertise, ownership and a technology-driven mindset, we would like to hear from you. Join KIEFER.

Задачи: — Ability to build libraries and frameworks of reusable efficient code. — Competence in designing and implementing low-latency, stable and performing applications. — Capacity to effectively collaborate with other team members and stakeholders remotely. — Ability to implement data protection systems. — Competence in data storage solutions. Требования: — 5+ years of experience building products with Python and Django. — High proficiency in SQL with experience using databases like PostgreSQL. — Experience scaling cloud infrastructures with Docker or Kubernetes is a plus. — Experience managing cloud infrastructures, specifically AWS or GCP. — You follow the best practices and conventions. — Relevant experience in CI/CD and related tools. — Ability to work with minimal supervision. — Intermediate-advanced English level. — You can communicate well with both technical and non-technical clients. — Time zone: CET (+/- 3 hours). We are unable to consider applications from candidates in other time zones. Условия: — Get paid, not played: on-time monthly payments with flexible withdrawal options. — Predictable project hours: consistent 8-hour working days with clients. — Flex days: up to 24 flex days off per year without losing pay, for full-time positions found through Proxify. — Career-accelerating positions at cutting-edge companies. — Hand-picked opportunities just for you. — One seamless process, multiple opportunities. — Compensation: same pay every month with positions landed through Proxify.

We are looking for a Senior Fullstack Developer skilled in React.js and Node.js for one of our clients. You are a perfect candidate if you are growth-oriented, you love what you do, and you enjoy working on new ideas to develop exciting products. What we are looking for: — 5+ years experience as a Fullstack Developer. — Backend experience with Node.js and Microservices architecture. — Database experience with SQL and MongoDB. — Intermediate-advanced English. Nice-to-have: — Located in CET timezone (+/- 3 hours). — Database Architecture knowledge. Responsibilities: — Ability to build libraries and frameworks of reusable efficient code. — Competence in designing and implementing low-latency, stable and performing applications. — Capacity to effectively collaborate with other team members and stakeholders remotely. — Ability to implement data protection systems. — Competence in data storage solutions. What we offer: — On-time monthly payments with flexible withdrawal options. — Consistent 8-hour working days with clients. — Up to 24 flex days off per year without losing pay for full-time positions. — Exclusive long-term remote positions at cutting-edge companies. — Personally matched positions avoiding typical recruitment roadblocks. — One-time contracting process for multiple opportunities. — Consistent monthly compensation for positions landed through Proxify.

Location: London Office Workplace: Hybrid Chainalysis is inspired by solving the hardest technical challenges and creating products that build trust in cryptocurrencies. We're a global organization who thrive on the challenging work we do and doing it with other exceptionally talented teammates. Our industry changes constantly, and our job is to create user-facing products supported by our best-in-class data, allowing us to adapt to those rapid changes and bring maximal value to our customers. We're looking for a Staff Data Scientist to join our Research and Intelligence organisation in London. You'll work across flexible, cross-functional squads within the Data Science team, leading analytical, statistical, and machine-learning work across both UTXO and EVM blockchains. The team develops behavioural heuristics, graph algorithms, statistical models, and machine-learning techniques that power some of the most advanced blockchain analysis in the industry. Much of the work is state of the art and ahead of academia; your work will shape the data that fuels Chainalysis products and customers globally. This role is ideal for someone energised by deeply technical, ambiguous problems at the intersection of statistics, machine learning, algorithms, and large-scale on-chain analysis—and who wants to own multiple projects and systems end to end, shape technical direction, and deliver company-level impact. In this role, you’ll: - Own and prioritise multiple concurrent production data-science projects or systems, translating broad problem statements into actionable work, managing evolving requirements, and delivering measurable outcomes. - Design, develop, and validate novel analytical methods, statistical models, behavioural heuristics, and algorithms across UTXO, EVM, and other blockchain data to attribute on-chain activity and uncover customer-relevant insights. - Stay current on advances in data science and blockchain analysis; evaluate and pilot techniques such as graph computation, statistical modelling, and machine learning on large-scale on-chain datasets. - Identify and resolve inefficiencies in code, methodology, and workflows; make architectural decisions; define and track quality metrics; understand upstream and downstream dependencies; and balance long-term system health and technical debt against new delivery. - Drive cross-functional alignment by clearly articulating and defending methodology and results, challenging assumptions when warranted, and building consensus as requirements evolve. - Mentor team members across levels within your domain, support onboarding, contribute to technical hiring, and share knowledge through documentation and presentations. - Collaborate across Research, Global Intelligence, Product, and Engineering to move research from prototype to dependable production systems and create tools or platforms that multiply team output. We’re looking for candidates who have: - Deep expertise in statistics, machine learning, computer science, physics, mathematics, or another quantitative discipline, demonstrated through advanced industry or research work. - Expert-level proficiency in Python and SQL, with a track record of writing clean, testable, production-quality code. - Demonstrated experience applying advanced analytical techniques (e.g. graph algorithms, ML, statistical inference) to large, messy datasets. - Demonstrated ability to learn unfamiliar technical domains and data models quickly; prior blockchain experience is welcome but not required. - A demonstrated ability to own and prioritise multiple concurrent projects or systems, make sound architectural and methodological decisions, and drive cross-functional stakeholders toward delivery. - An analytical, open-minded approach to problem solving – comfortable navigating ambiguity and willing to dive into problems outside your day-to-day scope. - Strong written and verbal communication skills, including the ability to explain complex methodology to diverse audiences, mentor technical practitioners, and share knowledge across a team. Nice to have: - A PhD or equivalent research training in a quantitative field, and/or familiarity with Databricks, dbt, Spark/PySpark, or similar large-scale data platforms. - Experience modifying infrastructure-as-code (e.g. Terraform) or contributing to production data pipelines. - Experience building shared tools or platforms that multiply team output and onboarding others onto them. - Experience with UTXO, EVM, or other blockchain data, graph computation, and/or the cryptocurrency ecosystem. TECHNOLOGIES WE USE: - Python - SQL - Databricks - Dbt - PySpark / Spark - Terraform - AWS - Postgres AI at Chainalysis AI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it. AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before. About Chainalysis Chainalysis is the blockchain data platform, making it easy to connect the movement of digital assets to real-world services. Powered by deep blockchain data and AI, organizations can investigate illicit activity, manage risk exposure, and develop innovative market solutions built on the industry's most trusted blockchain intelligence. Our mission is to build trust in blockchains, blending safety and security with an unwavering commitment to growth and innovation. You belong here.  At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture. We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here https://go.chainalysis.com/rs/503-FAP-074/images/Interview%20Accommodations%20Request.pdf. We can’t wait to meet you.

Location: Spain, Remote Workplace: remote The Trainer is our pedagogical and platform expert within the Professional Services (PS) team. Your mission is to empower our clients to build Collaborative Learning organizations by mastering our platform and methodology. You aren't a technical expert; you are a pedagogical and platform expert who ensures that clients don’t just "use" the software, but master it to drive long-term engagement. By owning our "One-to-Many" offer (Engagement Academy & Stadium webinars), you ensure that every client, from their first day of implementation, has the knowledge and confidence to make their project a success. You don't just deliver content; you develop a scalable learning ecosystem that ensures every client gets the best start possible by mastering our Collaborative Learning methodology. You will work closely with the Customer Success Team and Product teams to ensure our training offer addresses the actual friction points and needs of our client base. Within 1 month, you will: Master our Platform's core user experience and the Collaborative Learning methodology Become a platform expert (from a user & admin perspective) and get certified on our methodology. Shadow existing Stadium webinars and Academy workflows to understand the current "One-to-Many" engine. Connect with colleagues worldwide through virtual coffee chats and team-building activities. Within 3 months, you will: Host your Stadium webinars and receive peer feedback on your ability to drive platform engagement. Identify and execute your updates on the Engagement Academy to align with the latest product releases. Define your quarterly priorities in relation to the Support & Services roadmap with your coach. Actively contribute to our internal knowledge base (Confluence) to share best practices on platform usage and client engagement. Within 6 months, you will: Lead a project to improve the One-to-Many strategy (e.g., new webinar formats, gamification of the Academy, or localized content). Participate in Discovery Meetings with Product Managers to share insights on how clients actually use and adopt the platform. Analyze Academy completion rates and Stadium satisfaction scores to iterate on the training Catalog. Build new processes and update Confluence with the information needed for the team's daily work. Within 12 months, you will: Onboard and mentor new Trainers, teaching them how to turn platform features into compelling learning stories. Take full ownership of a recurring team pillar (e.g.,being the internal referral for complex solution training). Develop advanced toolkits and training paths based on the most successful client use cases. The Skills Set: 3+ years of successful experience as a Trainer OR successful client-facing experience in Customer Success/Care. You are recognized for your listening and teaching skills You express your ideas in a clear and concise manner, both in writing and orally You are proactive and prefer working in a strong results-oriented culture A past experience in the learning industry is a plus You have excellent overall writing skills in a number of different styles/tones, and impeccable spelling and grammar in German and English. Enthusiasm for our working environment explained here: https://bit.ly/Convexity360L What we offer: Compensation: Package includes base salary and a variable component 📈 Benefits: Work From Home allowance, social security, health insurance, unemployment insurance, common contingency, salary guarantee fund, lunch vouchers. Leave requests are subject to local policies. Balance: Flexible hours, Total work from home possible anywhere in Spain 🏠 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 LEC Coach Case Study Meeting with our LEC Coach and a member of the team Clarification Meeting with our Head of professional Services EMEA Culture Fit Meeting with our VP Global Professional Services 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!

Location: Berlin, Remote Workplace: remote The Trainer is our pedagogical and platform expert within the Professional Services (PS) team. Your mission is to empower our clients to build Collaborative Learning organizations by mastering our platform and methodology. You aren't a technical expert; you are a pedagogical and platform expert who ensures that clients don’t just "use" the software, but master it to drive long-term engagement. By owning our "One-to-Many" offer (Engagement Academy & Stadium webinars), you ensure that every client, from their first day of implementation, has the knowledge and confidence to make their project a success. You don't just deliver content; you develop a scalable learning ecosystem that ensures every client gets the best start possible by mastering our Collaborative Learning methodology. You will work closely with the Customer Success Team and Product teams to ensure our training offer addresses the actual friction points and needs of our client base. Within 1 month, you will: Master our Platform's core user experience and the Collaborative Learning methodology Become a platform expert (from a user & admin perspective) and get certified on our methodology. Shadow existing Stadium webinars and Academy workflows to understand the current "One-to-Many" engine. Connect with colleagues worldwide through virtual coffee chats and team-building activities. Within 3 months, you will: Host your Stadium webinars and receive peer feedback on your ability to drive platform engagement. Identify and execute your updates on the Engagement Academy to align with the latest product releases. Define your quarterly priorities in relation to the Support & Services roadmap with your coach. Actively contribute to our internal knowledge base (Confluence) to share best practices on platform usage and client engagement. Within 6 months, you will: Lead a project to improve the One-to-Many strategy (e.g., new webinar formats, gamification of the Academy, or localized content). Participate in Discovery Meetings with Product Managers to share insights on how clients actually use and adopt the platform. Analyze Academy completion rates and Stadium satisfaction scores to iterate on the training Catalog. Build new processes and update Confluence with the information needed for the team's daily work. Within 12 months, you will: Onboard and mentor new Trainers, teaching them how to turn platform features into compelling learning stories. Take full ownership of a recurring team pillar (e.g.,being the internal referral for complex solution training). Develop advanced toolkits and training paths based on the most successful client use cases. The Skills Set: 3+ years of successful experience as a Trainer OR successful client-facing experience in Customer Success/Care. You are recognized for your listening and teaching skills You express your ideas in a clear and concise manner, both in writing and orally You are proactive and prefer working in a strong results-oriented culture A past experience in the learning industry is a plus You have excellent overall writing skills in a number of different styles/tones, and impeccable spelling and grammar in German adn English 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: Work From Home perks, 1 month parental leave for the second parent. Balance: Flexible hours, Total work from home possible anywhere in Germany 🏠 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 LEC Coach Case Study Meeting with our LEC Coach and a member of the team Clarification Meeting with our Head of professional Services EMEA Culture Fit Meeting with our VP Global Professional Services 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!

Location: Bangalore, India GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Senior Engineering Manager, Continuous Deployment at GitLab, you'll build and manage a globally distributed team focused on Continuous Deployment capabilities within GitLab's artificial intelligence-powered DevSecOps platform. You'll hire engineers, shape how the team works, and guide delivery of a reliable product experience for customers. Your team will build a Continuous Deployment engine that goes beyond script execution. It will reconcile live state, coordinate durable workflows, and support artificial intelligence-native governance. You'll align technical direction with customer needs and business goals. Your work will help customers deploy software with greater reliability, safety, and assurance in a remote, asynchronous environment. What you’ll do Build and manage a globally distributed engineering team, creating an environment where team members can do their best work and grow their careers. Hire, onboard, and develop engineers, setting clear expectations for quality and accountability. Partner with product management and cross-functional engineering teams to shape the roadmap, make sound architectural decisions, and deliver against product commitments. Set expectations for reliable, secure, maintainable, and performant delivery, and help the team meet them. Encourage the use of artificial intelligence as a core part of how the team works, with engineers using artificial intelligence tools in their daily workflows to improve efficiency and innovation. Hold regular 1:1s, provide continuous feedback, and support engineers' professional growth through coaching and skill development. Track milestone progress, identify blockers early, and address patterns before they require escalation. Participate in the incident management on-call rotation to help maintain availability targets for GitLab.com. What you’ll bring Experience managing engineering team, including advising on architecture and contributing to technical discussions. Experience with distributed systems and durable workflow execution, including state persistence and replay patterns. Experience building or managing teams working on release orchestration, deployment automation, or continuous delivery at scale. Familiarity with Kubernetes deployment patterns and GitOps workflows, including progressive delivery strategies such as blue/green and canary deployments. Experience with policy-based governance and event-driven architectures in reliable, enterprise-grade delivery systems. Experience building and managing teams in early-stage contexts, including defining processes, hiring foundational team members, and establishing how the team works. Experience working across functions, exercising judgment, and moving work forward in ambiguous or fast-changing situations. Experience communicating clearly in writing and conversation while working effectively in a remote-first, asynchronous environment. About the team The Senior Engineering Manager, Continuous Deployment role is part of GitLab's broader DevOps engineering organization, working on software delivery experiences that help customers ship with assurance. We solve complex deployment challenges in a way that fits GitLab's single-platform approach, with close coordination across product, engineering, and infrastructure. This work brings together platform architecture, delivery reliability, and GitLab's evolving artificial intelligence strategy in a highly visible product area. We work in an all-remote, handbook-first environment and practice transparency, teamwork, and iteration. We focus on creating technology that helps organizations manage deployments more safely and effectively while contributing to GitLab's mission to enable everyone to contribute to and co-create the software that powers our world. How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Baku, Baku Ekonomic Zone, Azerbaijan Workplace: hybrid We are a leading trading platform that is ambitiously expanding to the four corners of the globe. Our top-rated products have won prestigious industry awards for their cutting-edge technology and seamless client experience. We deliver only the best, so we are always in search of the best people to join our ever-growing talented team. Responsibilities Develop and implement the Company's accounting and financial policies, reporting framework aligned with IFRS, the Law on Accounting, and CBAR requirements. Assist in ensuring compliance with CBAR financial reporting requirements, capital adequacy standards, and applicable risk management frameworks. Oversee the preparation of financial statements, tax declarations, CBAR periodic reports, and other regulatory filings, ensuring accuracy and timeliness. Support financial planning, budgeting, and forecasting processes in coordination with the General Director to optimise resource allocation. Establish and maintain internal controls over the accounting and reporting process, and prepare the function for internal and external audit. Coordinate the external audit and tax inspections, respond to audit and regulatory requests, and represent the Company before the tax authorities and CBAR on accounting and reporting matters. Identify and escalate financial risks relevant to the accounting function, including reporting risks, tax compliance risks, and capital adequacy risks. Collaborate with CBAR, external auditors, the Audit Committee, and senior management to provide financial insights and ensure alignment with corporate objectives and regulatory expectations. Assist in implementing and maintaining financial systems, accounting processes, and internal controls to enhance efficiency and reporting accuracy. Ensure compliance with AML/CFT record-keeping and reporting obligations as they relate to the accounting function. Keep up to date with all relevant regulatory changes as well as evolving best practices, carrying out gap and business impact analysis. Build, lead and develop the accounting and finance team, organising the allocation of work and supervising its execution. Maintain professional accountant status throughout employment, including timely renewal of the professional accountant certificate and continuing membership of an accredited professional accountant organisation, and notify the Company immediately of any lapse. Requirements Higher education (university degree). Professional accountant certificate (peşəkar mühasib sertifikatı, PMS) issued by the State Examination Centre (DİM), together with current membership of a professional accountancy organisation accredited by the Ministry of Finance, as required under the Securities Market Law and the Law on Accounting for chief accountants of public interest entities, including securities market licensees. Not less than five (5) years of experience in accounting or finance, of which at least three (3) years as a chief accountant or in a managerial finance role. Experience in a bank, investment company, insurer or other regulated financial institution is a significant advantage. Meets the “fit and proper” requirements applicable to the Chief Accountant of a licensed entity under the Securities Market Law, including strong professional reputation and integrity and no relevant criminal convictions or ongoing proceedings. Strong practical experience in IFRS-based accounting and financial reporting, preferably in financial services. Strong knowledge of Azerbaijani accounting and tax legislation, CBAR reporting requirements for investment companies, and applicable AML/CFT record-keeping obligations. Experience in setting up accounting and financial reporting frameworks for newly licensed financial institutions is a significant advantage. Practical experience of the full tax reporting cycle and confident use of state portals, including electronic invoices (EQF). Confident user of accounting and ERP systems and advanced Microsoft Excel. Experience of leading and developing an accounting or finance team. Azerbaijani - fluent; English - good written and spoken proficiency is required. International professional qualification (ACCA, DipIFR, CIMA, CPA, CFA) is an advantage. Be able to handle complex financial reporting issues, projects, and processes. Demonstrate strong moral and ethical principles. A willingness to learn, accept accountability, demonstrate initiative and support effective co-operation. Strong sense of integrity and responsibility. What Will You 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 • 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: Buenos Aires, Argentina Workplace: hybrid Are you ready to join our digital revolution journey?    At Aleph, we’re not just part of the digital advertising landscape—we’re shaping its future. Representing the world’s leading platforms, including TikTok, Amazon, Google, and nearly 55 others, we operate in 130+ markets across new and existing geographies.   Our mission is to empower advertisers and brands to unlock the full potential of these platforms' advertising capabilities. By fostering long-lasting partnerships, we create limitless opportunities for people and businesses to advertise effectively at both local and global levels.   With a presence spanning continents, Aleph offers you the chance to be part of a fast-growing, innovative team where your work makes a direct impact. If you’re ambitious, forward-thinking, and eager to thrive in a dynamic, global environment, Aleph is the perfect place to build your career. We are looking for an Associate Analyst, HRBP to join the Human Resources  team in LATAM. This is a junior position that plays a key operational role supporting our Regional HRBP, ensuring our people processes run smoothly across 18+ countries and 18+ business units. You will work closely with the Regional HRBP, Total Rewards, Talent Acquisition, People Service Delivery, and business leaders across the region, contributing to a seamless employee experience and helping turn people priorities into action. You will support key HR processes, provide insights and follow-up, and help ensure that our people practices are consistently and effectively delivered across the region in line with global guidelines. This role is designed for someone who thrives in fast-paced, ambiguous environments and is energized by problem-solving, not paralyzed by it. Key responsibilities: 1. Hiring & Selection Support the Regional HRBP on submitting the hiring requests to TA through Workday Share regular updates with the Regional HRBP on hiring status and flag any potential hiring risks or challenges 2. Onboarding & Offboarding Coordinate and facilitate welcome meetings/induction for new hires Ensure hiring managers take an active role in a standardised onboarding/induction template, and contribute to the onboarding process where necessary Conduct the scheduled check-in meetings with new employees and their managers; document key findings and flag risks to the Regional HRBP Track onboarding and offboarding processes: documentation, system updates, coordination with legal providers, and final payment follow-up Conduct the exit interview for voluntary resignations and analyse exit surveys to flag risks or challenges to the Regional HRBP Ensure all people movement events are processed accurately and on time in Workday 3. HR Employee Support Act as a point of contact for complex HR queries related to employee relations, policies and procedures, performance and compensation from employees and managers across LATAM Collaborate with PSD on complex employee queries related to other HR topics such as time off requests and balances, Workday challenges, etc. Liaise with PSD on open Jira tickets and ensure timely resolution and follow-up Actively contribute to the FAQ/knowledge base for recurring questions to reduce query volume over time, in partnership with the broader HR team 4. Engagement Plan Execution Support Support the execution of the LATAM Engagement Plan (Career Path Program, Recognition Program, AI & Automation initiatives) Coordinate logistics for engagement activities: communications, scheduling, materials, and tracking Assist in collecting and organizing data for engagement surveys and post-program follow-ups 5. HR Systems & Data Integrity Own the accuracy of Workday organizational structures: positions, attributes, reporting lines, and job profiles Perform regular audits to ensure all people movements (new hires, transfers, promotions, terminations) are correctly reflected in the system Cross-check open positions in Workday against workforce planning data and flag discrepancies to the Regional HRBP Coordinate with different HR teams  globally to resolve data inconsistencies Prepare HR reports on demand: headcount, open positions, engagement metrics, and data sanity checks Support the Regional HRBP with data preparation for leadership presentations and business reviews Maintain data hygiene across HR tracking tools (spreadsheets, Workday exports, dashboards) What You Need For This Role Background • Degree in Human Resources, Labour Relations, Organizational Psychology, or related field Experience • 1 to 3 years of HR experience in dynamic, fast-moving environments • Experience with HRIS platforms (Workday experience is a strong plus, not a requirement) • Exposure to multi-country HR operations is valued but not mandatory Skills • Advanced English — written and spoken; most team communication is in English • G Suite (Google Sheets, Docs, Slides) — advanced level required • AI tools literacy (familiarity with Claude or similar tools is a plus) • Analytical mindset — comfortable working with data, spotting inconsistencies, and building clean reports Bonus track — what sets great candidates apart • High tolerance for ambiguity — you don't need everything to be defined to take action • Dynamism — you shift context quickly and don't lose quality when the pace picks up • Comfort with uncertainty — you see change as the norm, not the exception • Proactive communication — you flag issues before they become problems • Discretion — you handle sensitive information with maturity and judgment Why Join Us?   Aleph is a place of many cultures, perspectives, and talents. We support each other, creating an environment of giving and receiving. We value partnership and communication because we believe it takes a group of people to achieve great things. We are energized by our ever-changing industry, our curiosity keeps us learning and seeking out new opportunities.     We stay flexible and adaptable, and believe in moving with the speed of change. We encourage everyone to strive for more, providing our internal talent with growth opportunities and the ability to learn together.    #ALEPH

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