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Location: Lisbon, Portugal Workplace: Remote 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. Role Summary: As a Frontend Engineer at Sensor Tower, you will not only build features, you will define how we build them. You will take ownership of major technical components, ensuring our applications are scalable, maintainable, and fast. In our lean and flat organization, your voice will shape the technical direction of our product, helping us deliver an intuitive, fluid user experience that helps our customers understand the digital ecosystem.   Fulfill your potential with us: - Architect and deliver complex, scalable frontend systems that are simple and effective, removing unnecessary complexity from our codebase. - You will partner with Product Managers to co-author requirements and shape the scope, ensuring engineering feasibility is considered during ideation, not just execution. - Lead technical decision-making for medium-to-large scoped features, taking responsibility for the successful delivery of value to the customer, not just the completion of tickets. - Mentor junior and mid-level engineers through code reviews, pair programming, and by instilling quality-first habits across the team. - Take ownership of the frontend stack by proactively identifying bottlenecks, technical debt, or systemic issues and driving the initiatives to fix them. - Advocate for and drive best practices in React, TypeScript, and web performance optimization across the engineering organization. - Collaborate deeply with Data Science and Backend Engineers to ensure seamless data flow and end-to-end system reliability, and use these partnerships to progressively expand your expertise across the full stack.   What we are interested in:   - 4+ years of software engineering experience with a deep specialization in modern JavaScript, TypeScript, and React. - Proven ability to architect complex state management. While our stack relies on TanStack Query, React Router and Zustand, we value engineers who understand the principles and can adapt expertise from other libraries like Redux, MobX, NextJS. - You can design systems that handle complexity without becoming complicated, prioritizing long-term maintainability. - Experience elevating the skills of peers. You don't just review their code; you teach patterns and best practices. - Competence in writing robust and efficient unit and integration tests using frameworks like Jest or Playwright. - Deep understanding of web performance, browser internals, and optimization techniques for data-heavy applications. - A "Product Owner" mindset. You care deeply about the "why" behind every feature, viewing code as a tool to solve real user problems. You are comfortable pushing back on requirements and proposing alternative solutions that drive better business outcomes and user experiences.   Extra Credit:   - Experience in data visualization and analytics (handling large datasets, heavy DOM manipulation with libraries like Highcharts). - A portfolio, GitHub history, or technical writing that demonstrates clean code, an eye for design, and the ability to solve complex architectural challenges. - Familiarity with back end frameworks Ruby on Rails/Angular and different types of DBs (Clickhouse, Mongo, Postgres) - Knowledge of AI-driven coding tools and models as we encourage leveraging AI to enhance coding efficiency and unlock creative potential   Blog Posts Read more about some of our Technical challenges here (written by members of our engineering team): https://sensortower.com/blog/how-we-scaled-to-thousands-of-sidekiq-workers     About Sensor Tower Sensor Tower is a global provider of digital intelligence solutions, empowering companies to understand consumer behavior and market performance across mobile apps, digital platforms, and gaming ecosystems. Headquartered in San Francisco, Sensor Tower's insights are trusted by more than 2,500 enterprises worldwide.   Founded in 2013, Sensor Tower’s market insights have helped marketers, app developers, and gaming leaders demystify the mobile app ecosystem with visibility into usage, engagement, and paid acquisition strategies. Today, Sensor Tower’s digital market insights platform has expanded to include Gaming, Web, Audience, and Digital Advertising Insights, helping global leaders understand market trends and their competitor’s strategies and audiences across the entire digital ecosystem.   Why Sensor Tower? Our flexible work environment allows employees to live in greater connection with the people, places, and activities they love! Global Teams Sensor Tower has a global presence, with teams across the world and available in most time zones, including North America, Europe, Middle East, Africa, APAC and LATAM. We maintain regional offices in SF, LA, NY, London, Singapore, Beijing, Seoul, Tokyo and Vancouver.   We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, and veteran status. We will consider qualified applicants with arrest and conviction records. If you have a disability or special need, please do not hesitate to let us know and we'll do our best to accommodate.   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.

Location: Krakow, Poland Workplace: Remote 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. Role Summary: As a Frontend Engineer at Sensor Tower, you will not only build features, you will define how we build them. You will take ownership of major technical components, ensuring our applications are scalable, maintainable, and fast. In our lean and flat organization, your voice will shape the technical direction of our product, helping us deliver an intuitive, fluid user experience that helps our customers understand the digital ecosystem.   Fulfill your potential with us: - Architect and deliver complex, scalable frontend systems that are simple and effective, removing unnecessary complexity from our codebase. - You will partner with Product Managers to co-author requirements and shape the scope, ensuring engineering feasibility is considered during ideation, not just execution. - Lead technical decision-making for medium-to-large scoped features, taking responsibility for the successful delivery of value to the customer, not just the completion of tickets. - Mentor junior and mid-level engineers through code reviews, pair programming, and by instilling quality-first habits across the team. - Take ownership of the frontend stack by proactively identifying bottlenecks, technical debt, or systemic issues and driving the initiatives to fix them. - Advocate for and drive best practices in React, TypeScript, and web performance optimization across the engineering organization. - Collaborate deeply with Data Science and Backend Engineers to ensure seamless data flow and end-to-end system reliability, and use these partnerships to progressively expand your expertise across the full stack.   What we are interested in:   - 4+ years of software engineering experience with a deep specialization in modern JavaScript, TypeScript, and React. - Proven ability to architect complex state management. While our stack relies on TanStack Query, React Router and Zustand, we value engineers who understand the principles and can adapt expertise from other libraries like Redux, MobX, NextJS. - You can design systems that handle complexity without becoming complicated, prioritizing long-term maintainability. - Experience elevating the skills of peers. You don't just review their code; you teach patterns and best practices. - Competence in writing robust and efficient unit and integration tests using frameworks like Jest or Playwright. - Deep understanding of web performance, browser internals, and optimization techniques for data-heavy applications. - A "Product Owner" mindset. You care deeply about the "why" behind every feature, viewing code as a tool to solve real user problems. You are comfortable pushing back on requirements and proposing alternative solutions that drive better business outcomes and user experiences.   Extra Credit:   - Experience in data visualization and analytics (handling large datasets, heavy DOM manipulation with libraries like Highcharts). - A portfolio, GitHub history, or technical writing that demonstrates clean code, an eye for design, and the ability to solve complex architectural challenges. - Familiarity with back end frameworks Ruby on Rails/Angular and different types of DBs (Clickhouse, Mongo, Postgres) - Knowledge of AI-driven coding tools and models as we encourage leveraging AI to enhance coding efficiency and unlock creative potential   Blog Posts Read more about some of our Technical challenges here (written by members of our engineering team): https://sensortower.com/blog/how-we-scaled-to-thousands-of-sidekiq-workers     About Sensor Tower Sensor Tower is a global provider of digital intelligence solutions, empowering companies to understand consumer behavior and market performance across mobile apps, digital platforms, and gaming ecosystems. Headquartered in San Francisco, Sensor Tower's insights are trusted by more than 2,500 enterprises worldwide.   Founded in 2013, Sensor Tower’s market insights have helped marketers, app developers, and gaming leaders demystify the mobile app ecosystem with visibility into usage, engagement, and paid acquisition strategies. Today, Sensor Tower’s digital market insights platform has expanded to include Gaming, Web, Audience, and Digital Advertising Insights, helping global leaders understand market trends and their competitor’s strategies and audiences across the entire digital ecosystem.   Why Sensor Tower? Our flexible work environment allows employees to live in greater connection with the people, places, and activities they love! Global Teams Sensor Tower has a global presence, with teams across the world and available in most time zones, including North America, Europe, Middle East, Africa, APAC and LATAM. We maintain regional offices in SF, LA, NY, London, Singapore, Beijing, Seoul, Tokyo and Vancouver.   We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, and veteran status. We will consider qualified applicants with arrest and conviction records. If you have a disability or special need, please do not hesitate to let us know and we'll do our best to accommodate.   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.

Location: Warsaw, Poland Workplace: Remote 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. Role Summary: As a Frontend Engineer at Sensor Tower, you will not only build features, you will define how we build them. You will take ownership of major technical components, ensuring our applications are scalable, maintainable, and fast. In our lean and flat organization, your voice will shape the technical direction of our product, helping us deliver an intuitive, fluid user experience that helps our customers understand the digital ecosystem. Fulfill your potential with us: - Architect and deliver complex, scalable frontend systems that are simple and effective, removing unnecessary complexity from our codebase. - You will partner with Product Managers to co-author requirements and shape the scope, ensuring engineering feasibility is considered during ideation, not just execution. - Lead technical decision-making for medium-to-large scoped features, taking responsibility for the successful delivery of value to the customer, not just the completion of tickets. - Mentor junior and mid-level engineers through code reviews, pair programming, and by instilling quality-first habits across the team. - Take ownership of the frontend stack by proactively identifying bottlenecks, technical debt, or systemic issues and driving the initiatives to fix them. - Advocate for and drive best practices in React, TypeScript, and web performance optimization across the engineering organization. - Collaborate deeply with Data Science and Backend Engineers to ensure seamless data flow and end-to-end system reliability, and use these partnerships to progressively expand your expertise across the full stack.   What we are interested in:   - 4+ years of software engineering experience with a deep specialization in modern JavaScript, TypeScript, and React. - Proven ability to architect complex state management. While our stack relies on TanStack Query, React Router and Zustand, we value engineers who understand the principles and can adapt expertise from other libraries like Redux, MobX, NextJS. - You can design systems that handle complexity without becoming complicated, prioritizing long-term maintainability. - Experience elevating the skills of peers. You don't just review their code; you teach patterns and best practices. - Competence in writing robust and efficient unit and integration tests using frameworks like Jest or Playwright. - Deep understanding of web performance, browser internals, and optimization techniques for data-heavy applications. - A "Product Owner" mindset. You care deeply about the "why" behind every feature, viewing code as a tool to solve real user problems. You are comfortable pushing back on requirements and proposing alternative solutions that drive better business outcomes and user experiences. Extra Credit:   - Experience in data visualization and analytics (handling large datasets, heavy DOM manipulation with libraries like Highcharts). - A portfolio, GitHub history, or technical writing that demonstrates clean code, an eye for design, and the ability to solve complex architectural challenges. - Familiarity with back end frameworks Ruby on Rails/Angular and different types of DBs (Clickhouse, Mongo, Postgres) - Knowledge of AI-driven coding tools and models as we encourage leveraging AI to enhance coding efficiency and unlock creative potential   Blog Posts Read more about some of our Technical challenges here (written by members of our engineering team): https://sensortower.com/blog/how-we-scaled-to-thousands-of-sidekiq-workers   About Sensor Tower Sensor Tower is a global provider of digital intelligence solutions, empowering companies to understand consumer behavior and market performance across mobile apps, digital platforms, and gaming ecosystems. Headquartered in San Francisco, Sensor Tower's insights are trusted by more than 2,500 enterprises worldwide. Founded in 2013, Sensor Tower’s market insights have helped marketers, app developers, and gaming leaders demystify the mobile app ecosystem with visibility into usage, engagement, and paid acquisition strategies. Today, Sensor Tower’s digital market insights platform has expanded to include Gaming, Web, Audience, and Digital Advertising Insights, helping global leaders understand market trends and their competitor’s strategies and audiences across the entire digital ecosystem. Why Sensor Tower? Our flexible work environment allows employees to live in greater connection with the people, places, and activities they love! Global Teams Sensor Tower has a global presence, with teams across the world and available in most time zones, including North America, Europe, Middle East, Africa, APAC and LATAM. We maintain regional offices in SF, LA, NY, London, Singapore, Beijing, Seoul, Tokyo and Vancouver. We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, and veteran status. We will consider qualified applicants with arrest and conviction records. If you have a disability or special need, please do not hesitate to let us know and we'll do our best to accommodate. 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.

Location: Krakow, Poland; Krosno, Poland; Lublin, Poland; Poland; Poznan, Poland; Warsaw, Poland Workplace: remote At TechBiz Global, we provide recruitment services to top clients from our international portfolio. We are currently looking for a Senior Data Scientist with strong hands-on experience in training AI models, particularly Large Language Models (LLMs) and Small Language Models (SLMs), using GPU infrastructure and real-world datasets . The ideal candidate should be based in Poland and able to clearly demonstrate their technical expertise, explain the tools and frameworks they use, and describe the complete model-training process—from data preparation to deployment and performance optimisation. Key Responsibilities Train, fine-tune, and optimise LLMs and SLMs using GPU infrastructure. Build and manage end-to-end machine learning training pipelines. Prepare, clean, structure, and process large volumes of real-world data. Select appropriate models, frameworks, tools, and training approaches based on project requirements. Apply techniques such as supervised fine-tuning, transfer learning, prompt tuning, and parameter-efficient fine-tuning. Monitor model performance and improve accuracy, speed, scalability, and resource utilisation. Work with structured, unstructured, time-series, telemetry, log, and streaming data. Clearly document and explain the tools, methods, and technical decisions used throughout the model-training process. Collaborate with engineering, data, and business teams to move models from experimentation into production. Troubleshoot issues related to model quality, training stability, GPU performance, and data pipelines. Proven professional experience as a Data Scientist, Machine Learning Engineer, AI Engineer, or similar role. Strong hands-on experience training or fine-tuning LLMs and/or SLMs. Practical experience using GPUs for AI model training. Strong Python programming skills. Experience with machine learning and deep-learning frameworks such as: PyTorch TensorFlow Hugging Face Transformers Experience with GPU-related technologies and environments, such as CUDA, distributed training, cloud GPU platforms, or GPU clusters. Strong understanding of model-training workflows, including data preparation, tokenisation, model selection, training, evaluation, and optimisation. Ability to clearly explain previous AI projects, tools used, technical challenges, and achieved results. Experience working with large and complex datasets. Good English communication skills. Based in Poland. Relevant Industry Experience Experience in one or more of the following industries or data environments would be highly valuable: E-commerce Finance or banking Insurance Healthcare or medical data Telemetry and IoT data Application or system logs Real-time and streaming data High-volume enterprise data environments Nice to Have Experience with distributed model training. Experience with LoRA, QLoRA, PEFT, quantisation, or model compression. Experience with MLOps tools and model deployment. Knowledge of Docker, Kubernetes, MLflow, or similar technologies. Experience using AWS, Azure, or Google Cloud for AI workloads. Experience deploying AI models into production environments. Knowledge of data privacy, security, and governance requirements.

What You'll Be Doing: — Identifying, pitching, and closing platform sales deals with local agencies and brands — Working closely with management/product teams to get products specified and built — Managing existing client relations and seeking account growth opportunities — Working with your dedicated StackAdapt Account Manager to grow and retain existing accounts by presenting new campaign strategies and solutions to clients, and building strong relationships What You'll Bring to the Table: — Digital advertising sales experience; programmatic is a plus — Utilized various CRM tools to build a robust pipeline and ensured ongoing client satisfaction, renewal and opportunity discovery — Experience building client pitch decks (and the associated research) to close new business — Track record of success in a quota carrying environment — Ability to grasp and communicate technical concepts and platform-based knowledge — Willingness to travel occasionally to meet with clients within their region StackAdapt’s Enjoy: — Highly competitive salary — Retirement/401K/Pension Savings globally — Competitive Paid time off packages including birthdays off — Access to a comprehensive mental health care program — Health benefits from day one of employment — Work from home reimbursements — Optional global WeWork membership for those who want a change from their home office and hubs in London and Toronto — Robust training and onboarding program — Coverage and support of personal development initiatives (conferences, courses, books etc) — Access to StackAdapt programmatic courses and certifications to support continuous learning — An awesome parental leave program — A friendly, welcoming, and supportive culture — Social and team events Who You Are: — Location preference: Missouri, Wisconsin, Minnesota, Iowa — Remote-first company with regionalized Sales teams — Open to candidates in the specified region who can identify and close opportunities with local agencies and brands

Location: Home based - EMEA Canonical has re-imagined hiring. We have created a Talent Science team that has a mission to ensure that we follow objective, scientifically rigorous and efficient processes to select the very best new colleagues regardless of location, culture or background. We are not recruiters, but our work connects hiring strategy to performance outcomes. We work closely with our key stakeholders to ensure that decisions are being made in the right way and that our hiring model supports the selection of world class talent. We lead an effective hiring ecosystem to deliver talent acquisition excellence. We leverage data to enable evidence-based decisions, weaving behavioural science throughout our selection process, working closely with our Hiring Leadership team who drive hiring at Canonical. Due to the growth of the business we are seeking a set of new leaders to drive delivery excellence. You will work directly with the Global Head of Talent Science to plan and drive work within the team against our strategic objectives. With overall accountability for project delivery relating to hiring outcomes you will drive efficiencies and create new processes whilst coaching and developing team members to grow their careers. You will bring an analytical and objective approach to work and be seasoned in making data driven decisions relating to talent outcomes. Your experience will include being able to plan and lead project roadmaps, experience interacting with senior leadership on talent related topics leveraging your thought leadership experience and the ability to influence and steer talent agendas internally. You will be capable of stepping up to lead the function when required. Location: This role will be based remotely in the EMEA region. The role entails Leading and delivering the strategic Talent Science project roadmap using exceptional project management capability and influencing skills to manage multiple projects at any given time. Leveraging expertise from your career to date to design and implement solutions to complex problems that ultimately ensure we hire exceptional talent. Ensuring all talent selection initiatives map to high performance outcomes and career frameworks. Designing professional processes and frameworks, allowing efficient delivery of our agenda. Coaching and mentoring team members to grow and develop skill sets specifically around analytical capabilities and thought leadership, developing training materials and documentation to support team members. Driving and representing the team in the absence of the Head of, acting as a credible and trusted adviser and an inspiring leader. Working closely with company leaders to understand, appreciate and communicate our vision for talent at Canonical. What we are looking for in you Exceptional academic track record from both high school and university, with an undergraduate degree in a psychology or people based subject. A track record of team leadership in a talent function from the technology or consulting industry, with exceptional project management, to lead roadmap execution and delivery. Deep understanding of talent selection, with a technological mindset to create automation's and products to drive hiring efficiencies. Advanced analytical ability to dissect and analyse data, using either SQL, Python and/or statistical analysis. Exceptional written and spoken English with strong presentation skills for a senior audience. Ability to travel internationally 2-4 times a year for company events. Nice-to-have skills Advanced psychometric assessments with an excellent understanding of the marketplace and vendors A deep understanding of human behaviour and what drives intrinsic motivation Experience of using Superset and advanced dashboarding What we offer colleagues We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. Distributed work environment with twice-yearly team sprints in person Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Employee Assistance Programme Opportunity to travel to new locations to meet colleagues Priority Pass, and travel upgrades for long haul company events About Canonical Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder led, profitable and growing. Canonical is an equal opportunity employer. We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration. #LI-remote

Обзор позиции и продукта: Команда развивает инновационные решения, которые делают работу с криптовалютой более прозрачной, доступной и удобной для пользователей по всему миру. Сейчас ищем специалиста, который поможет клиентам ориентироваться в мире цифровых активов и обеспечит высокий уровень сервиса в финансовом продукте. Требования: • 2+ года опыта в Customer Support (FinTech / Payments / Crypto); • Понимание принципов работы криптовалют и non-custodial кошельков; • English B2+ (вся коммуникация письменная); • Белорусский / Украинский и Русский — native или bilingual; • Сильные аналитические навыки и внимание к деталям; • Клиентоориентированность и ответственность. Условия: • Полностью удалённая работа (EU); • Гибкий график; • Работа в быстрорастущем crypto / fintech сегменте; • Текстовая коммуникация (без звонков); • Взаимодействие с международной командой (Compliance, QA, Dev); • Возможность профессионального роста в blockchain-индустрии; • Культура регулярного фидбэка и развития.

Задачи: — разрабатывать и поддерживать backend-сервисы на Node.js / TypeScript; — участвовать в развитии собственной игровой платформы; — работать с транзакционной логикой, игровыми сценариями и высоконагруженными частями системы; — обеспечивать стабильность и производительность backend-сервисов; — работать с SQL-базами данных, Kafka и Redis; — писать и поддерживать unit- и e2e-тесты на Jest; — участвовать в code review и улучшении качества кода; — участвовать в улучшении процессов разработки и CI/CD. Требования: — опыт backend-разработки от 5 лет; — уверенный опыт с Node.js; — опыт работы с TypeScript; — опыт работы с SQL-базами данных; — опыт работы с Kafka и Redis; — опыт написания unit- и e2e-тестов; — понимание принципов работы высоконагруженных систем; — опыт оптимизации производительности backend-сервисов; — русский язык для коммуникации с командой. Будет плюсом: — опыт в iGaming / FinTech / high-load продуктах; — опыт работы с финансовыми транзакциями; — опыт работы с платёжной логикой или критичными backend-сервисами; — опыт улучшения CI/CD-процессов. Условия: — формат работы: удалённо на период испытательного срока, далее офис в Лимассоле, Кипр; — занятость: full-time; — прямой найм в продуктовую компанию, не аутстафф / не субподряд; — позиция предполагает релокацию на Кипр после испытательного срока и дальнейшую работу из офиса в Лимассоле.

Задачи: — Проводить Discovery и Customer Development. — Исследовать рынок, пользователей и конкурентов. — Проверять гипотезы и рассчитывать Unit Economics. — Создавать PoC и интерактивные прототипы. — Самостоятельно проектировать UX на ранних этапах продукта. — Работать с Founding Engineer до вывода продукта в production. — Управлять roadmap, приоритетами и релизами. — Запускать продукт и развивать первые каналы привлечения пользователей. — Автоматизировать продуктовые процессы с помощью AI-агентов. Требования: — От 5 лет опыта в Product Management, предпочтительно роль CPO/Product lead в последний год с перспективой роста в CEO в течение года. — Опыт полного цикла 0→1. — Опыт в одном из доменов: Corporate Messenger, EdTech, HealthTech на Tier-1. — Навыки Discovery, Customer Development, Product Analytics. — Знание Unit Economics и работа с метриками. — Владение SQL. — Сильные навыки UX и прототипирования. — Практический опыт работы с AI-продуктами (ускорение рутины с помощью скиллов, агентов, субагентов). — Опыт работы с Vibe Coding (Cursor, Claude Code, Windsurf или аналогичные инструменты для сборки PoC). — Английский язык от уровня B2+. Будет плюсом: — Инженерный бэкграунд. — Опыт одновременного ведения нескольких продуктов. Технологии: Cursor, Claude Code, Windsurf, Codex CLI, Claude, OpenAI, MCP, LangGraph, Pinecone, Replit Agent, Framer, Webflow, Figma, Linear, Notion, Slack, PostHog, Plausible

Location: Toronto; London; Berlin Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? As our Head of Sales, Defense & Intelligence, EMEA you will spearhead year-over-year revenue growth by developing and executing on enterprise level PUBSEC customer acquisition strategies across the region. You will drive long-term success through strategic development, coaching, and expanding Cohere’s presence in EMEA public sector, anchored in Defense & Intelligence. In this pivotal leadership role, you will cultivate and guide our EMEA PUBSEC sales team to exceed revenue targets and organizational goals, while fostering a culture of excellence and innovation. Candidates must be based in Germany to be considered for this career opportunity. As our Head of EMEA PUBSEC you will: - Develop, execute, and lead a comprehensive go-to-market growth strategy and sales plan for EMEA PUBSEC, driving revenue growth and market expansion working with the North American Public Sector and other regional sales teams. - Provide sales and operational leadership to Cohere’s EMEA PUBSEC sales team, ensuring alignment with company objectives and priorities. - Partner with Marketing, Product, and Engineering teams to synchronize sales efforts with broader company goals. - Represent Cohere at EMEA PUBSEC industry events, conferences, and networking opportunities, as well as with regulators and government agencies, in collaboration with other regional and global leaders in Cohere. - Manage and nurture relationships with government decision-makers and partners to ensure Cohere’s success in the region. Identify and pursue new business opportunities, negotiating and closing high-value deals. - Collaborate with global teams to strengthen anchor relationships and establish best practices for enterprise-level project implementations, ensuring strong client engagement throughout project lifecycles. This career opportunity may be a good match for you if you: - Have 10+ years of PUBSEC sales and leadership experience leading go-to-market efforts and driving revenue growth for fast paced technology organizations. - Have an established network in Germany and EMEA region, including federal agencies, prime contractors, and industry associations. - Possess a proven track record of leading capture and sales efforts for consultative solution sales and business development efforts, with a deep understanding of regional procurement and budget cycles, customer success, and resource allocation. - Have exceptional communication and leadership skills, with the ability to build cross-functional relationships and influence at all levels. - Are comfortable operating in a matrix environment, coordinating efforts across cross-functional teams and regions without the need for a large direct organization. - Are a self-starter with an entrepreneurial mindset, capable of working independently, rolling up sleeves, and driving impact as a ‘builder.’ - Experience in AI or a related industry is highly desirable. - English and German language skills are essential. - Must be based in Germany with willingness to travel (25-35%). FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: Munich, Germany Workplace: remote Contract type: Freelance Language: German (Germany) Location: Munich Estimated volume: 8 - 10 hours Start date: The project runs on a weekly basis.    We are looking for qualified raters to support a project focused on evaluating personalized search and location recommendations. This role involves rating the relevance and usefulness of suggested places based on personalized results and defined project guidelines.   𝗜𝗳 𝘆𝗼𝘂’𝗿𝗲 𝘀𝗼𝗺𝗲𝗼𝗻𝗲 𝘄𝗵𝗼: ✅Notices when recommendations actually make sense 🧠Thinks critically about usefulness, intent, and context 🖥️Cares about accuracy in digital experiences   This project is built for you.   What you will do: Review search queries with results personalized based on your activity history Evaluate suggested places (e.g., restaurants or locations) related to places you’ve previously visited Rate whether the suggested places are relevant and useful Follow project guidelines and complete tasks accurately Requirements: To be located and have the right to work in Germany. An existing, actively used Gmail account with prior usage history on Google Maps. Participation is limited to maximum three project rounds. Please note that the task request will be dynamic and we will be providing you with a heads-up as soon as possible once there is a project round available for you. Please note: This project requires opt-in, consent-based access to limited elements of your activity history. A consent form will be provided for you to review and sign before participation. Please note that the consent form and its terms may be subject to change as project requirements evolve. A desktop or laptop computer is required to complete the application and onboarding process. Mobile devices are not supported.

Location: Milan, Italy Workplace: remote Contract type: Freelance Language: Italian (Italy)  Location: Milan Estimated volume: 8 - 10 hours Start date: The project runs on a weekly basis.    We are looking for qualified raters to support a project focused on evaluating personalized search and location recommendations. This role involves rating the relevance and usefulness of suggested places based on personalized results and defined project guidelines.   𝗜𝗳 𝘆𝗼𝘂’𝗿𝗲 𝘀𝗼𝗺𝗲𝗼𝗻𝗲 𝘄𝗵𝗼: ✅Notices when recommendations actually make sense 🧠Thinks critically about usefulness, intent, and context 🖥️Cares about accuracy in digital experiences   This project is built for you.   What you will do: Review search queries with results personalized based on your activity history Evaluate suggested places (e.g., restaurants or locations) related to places you’ve previously visited Rate whether the suggested places are relevant and useful Follow project guidelines and complete tasks accurately Requirements: To be located and have the right to work in Italy. An existing, actively used Gmail account with prior usage history on Google Maps. Participation is limited to maximum three project rounds. Please note that the task request will be dynamic and we will be providing you with a heads-up as soon as possible once there is a project round available for you. Please note: This project requires opt-in, consent-based access to limited elements of your activity history. A consent form will be provided for you to review and sign before participation. Please note that the consent form and its terms may be subject to change as project requirements evolve. A desktop or laptop computer is required to complete the application and onboarding process. Mobile devices are not supported.

Location: Remote - USA Workplace: Remote The R&D team at Chainalysis is inspired by solving the hardest technical challenges and building products that establish trust in cryptocurrencies. We're a global organization that thrives on challenging work and doing it alongside exceptionally talented teammates. Our industry evolves rapidly, and our mission is to build a flexible, AI-driven platform that automates entity resolution, optimizes data labeling pipelines, and creates predictive models that identify illicit patterns before they escalate. Our data and solutions have been used to solve some of the world's most high-profile criminal cases and grow consumer access to cryptocurrency safely. Now, by pairing the industry's most trusted blockchain data with agents that reason, investigate, and act, we help our customers scale their workflows as the cryptocurrency economy becomes increasingly mainstream. Chainalysis data has helped solve some of the world’s highest-profile criminal and national-security cases and made it safer for people everywhere to access crypto. The Global Intelligence Team produces the attribution at the heart of that data — connecting on-chain activity to the real-world entities behind it, across the global crypto ecosystem. It’s the intelligence data moat beneath every Chainalysis product, and what investigators, sanctions authorities, and national-security agencies rely on to follow the money and disrupt threats. Few threats test that mission harder than North Korea and China. Through Lazarus Group, the DPRK has stolen billions in crypto — via exchange and DeFi hacks and IT-worker schemes — to fund its weapons program, then laundered it through mixers, cross-chain bridges, and Chinese OTC networks. China, in turn, sits at the center of global crypto money laundering — from guarantee marketplaces and underground banking to scam compounds, fentanyl vendors, and cartel-linked laundering. The two are deeply intertwined, and making that activity visible on-chain is one of the most consequential problems in crypto intelligence today. As our DPRK- and China-focused intelligence analyst — the team’s subject-matter expert on North Korea and China — you’ll own that problem end to end. This is a depth role: while our analysts cover the breadth of the crypto-services ecosystem, you’ll go deep on a single, high-stakes domain — becoming the person, inside Chainalysis and increasingly across the industry, who understands how DPRK and Chinese actors use crypto and can prove it on-chain. You’ll own the attribution for their crypto footprint, map how these networks actually operate, turn that into finished intelligence customers act on, and be the expert voice representing Chainalysis on DPRK and China crypto threats. Who you’ll work with You’ll join a fast-moving, globally distributed team — analysts, threat-domain SMEs, data scientists, and engineers — collaborating across time zones, async and in real time. We move fast, hold each other to a high bar, and back each other up across regions. As the DPRK & China SME, you’ll be the single point of depth for the domain and a force multiplier for everyone working adjacent to it. In this role, you’ll: - Own DPRK & China attribution end to end — the threat-actor entities, their definitions, and the accounts, addresses, and infrastructure they operate: Lazarus Group and DPRK state-sponsored theft and laundering, DPRK IT-worker networks, Chinese-language OTC and underground-banking networks, guarantee marketplaces (e.g., Huione-style platforms), scam-compound and pig-butchering laundering infrastructure, fentanyl and precursor vendors, and Chinese money-laundering organizations. - Lead the attribution response to DPRK- and China-related sanctions events — when OFAC or allied authorities designate DPRK actors, exchange-hacking units, or Chinese laundering networks, drive the rapid, high-visibility on-chain attribution that turns those designations into coverage in our data, often against the clock. - Map the networks on-chain — trace how stolen and illicit funds move through mixers, cross-chain bridges, no-KYC swaps, OTC brokers, and off-ramps, following DPRK hack proceeds into and through Chinese laundering infrastructure, and keep that picture current as they adapt to pressure. - Produce finished intelligence — advisory notes, customer and partner briefings, and contributions to flagship publications (the Crypto Crime Report and beyond) that make DPRK theft/laundering and Chinese money laundering legible and actionable. - Be the named external expert — represent Chainalysis on DPRK and China crypto threats at conferences, on panels, with the press, and in briefings to public- and private-sector partners. - Help set the DPRK & China collection agenda — surface what data we need on these networks and feed those requirements into our collection process and priority intelligence requirements; you direct collection for the domain, but it runs through the team’s apparatus and prioritization, not you alone. - Translate typologies into detection — turn what you learn about DPRK and Chinese methods into guidance that our products and our customers can operationalize. - Build with AI — design and tune the automation that scales your analysis and the team’s, and handle the hard cases automation can’t. - Level up the team — raise the bar on DPRK, China, and money-laundering tradecraft broadly, and partner closely with analysts, other SMEs, data science, and engineering. We’re looking for candidates who have: - Deep, demonstrable DPRK and/or China expertise — real command of DPRK state-sponsored crypto operations (Lazarus Group, exchange and bridge hacks, IT-worker schemes) and/or Chinese-language money laundering, OTC and underground banking, guarantee marketplaces, and organized-crime finance. This is the core of the role, and we’ll expect you to show it. - On-chain tracing ability against DPRK/China targets — direct experience following DPRK hack laundering or Chinese OTC/laundering networks on-chain, or deep DPRK/China threat-finance expertise paired with proven blockchain-tracing skill you can bring to bear here from day one. - A national-security or threat-finance background — intelligence, sanctions, counter-threat-finance, or investigations, from the IC, Treasury/OFAC, law enforcement, the military, a think tank or research institution, or private-sector CTF/sanctions work. - Regional fluency — a strong grasp of the DPRK and Chinese illicit-finance ecosystems and regional money-laundering flows. Mandarin and/or Korean language ability is a significant plus. - Elite potential and a proven track record — exceptional aptitude, judgment, and work ethic; you’ve led hard problems end to end and you raise everyone around you. - Excellent writing and communication — this is an outward-facing expert role; your intelligence has to land with analysts, customers, and senior audiences alike. - AI-forward instincts — you build automation to scale your work and others’, not just use it. - Comfort working with data; blockchain forensics experience strongly preferred. - 5+ years of relevant analytic, intelligence, or threat-finance experience for a Senior hire; 8+ years and recognized domain authority for a Staff hire. You might also have: - Mandarin and/or Korean language ability. - Direct experience with OFAC sanctions, designations, or the designation process — especially involving DPRK or Chinese entities. - A record of published research or public speaking on DPRK crypto theft, Lazarus Group, or Chinese money laundering. - Familiarity with cross-chain bridge and mixer laundering, guarantee marketplaces (e.g., Huione-style platforms), or Chinese OTC and underground-banking networks. 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: Bangalore, India Workplace: remote We are looking for qualified raters to support a project focused on evaluating personalized search and location recommendations. This role involves rating the relevance and usefulness of suggested places based on personalized results and defined project guidelines.   𝗜𝗳 𝘆𝗼𝘂’𝗿𝗲 𝘀𝗼𝗺𝗲𝗼𝗻𝗲 𝘄𝗵𝗼: ✅Notices when recommendations actually make sense 🧠Thinks critically about usefulness, intent, and context 🖥️Cares about accuracy in digital experiences   This project is built for you. Contract type: Freelance Language:Kannada (India) Location: Bangalore Estimated volume: 8 - 10 hours Start date: The project runs on a weekly basis.    What you will do: Review search queries with results personalized based on your activity history Evaluate suggested places (e.g., restaurants or locations) related to places you’ve previously visited Rate whether the suggested places are relevant and useful Follow project guidelines and complete tasks accurately Requirements: To be located and have the right to work in India. An existing, actively used Gmail account with prior usage history on Google Maps. Participation is limited to maximum three project rounds. Please note that the task request will be dynamic and we will be providing you with a heads-up as soon as possible once there is a project round available for you. Please note: This project requires opt-in, consent-based access to limited elements of your activity history. A consent form will be provided for you to review and sign before participation. Please note that the consent form and its terms may be subject to change as project requirements evolve. A desktop or laptop computer is required to complete the application and onboarding process. Mobile devices are not supported.

Location: India Workplace: remote We are looking for qualified raters to support a project focused on evaluating personalized search and location recommendations. This role involves rating the relevance and usefulness of suggested places based on personalized results and defined project guidelines.   𝗜𝗳 𝘆𝗼𝘂’𝗿𝗲 𝘀𝗼𝗺𝗲𝗼𝗻𝗲 𝘄𝗵𝗼: ✅Notices when recommendations actually make sense 🧠Thinks critically about usefulness, intent, and context 🖥️Cares about accuracy in digital experiences   This project is built for you. Contract type: Freelance Language:Telugu (India) Location: Hyderabad Estimated volume: 8 - 10 hours Start date: The project runs on a weekly basis.    What you will do: Review search queries with results personalized based on your activity history Evaluate suggested places (e.g., restaurants or locations) related to places you’ve previously visited Rate whether the suggested places are relevant and useful Follow project guidelines and complete tasks accurately Requirements: To be located and have the right to work in India. An existing, actively used Gmail account with prior usage history on Google Maps. Participation is limited to maximum three project rounds. Please note that the task request will be dynamic and we will be providing you with a heads-up as soon as possible once there is a project round available for you. Please note: This project requires opt-in, consent-based access to limited elements of your activity history. A consent form will be provided for you to review and sign before participation. Please note that the consent form and its terms may be subject to change as project requirements evolve. A desktop or laptop computer is required to complete the application and onboarding process. Mobile devices are not supported.

Location: India Workplace: remote We are looking for qualified raters to support a project focused on evaluating personalized search and location recommendations. This role involves rating the relevance and usefulness of suggested places based on personalized results and defined project guidelines.   𝗜𝗳 𝘆𝗼𝘂’𝗿𝗲 𝘀𝗼𝗺𝗲𝗼𝗻𝗲 𝘄𝗵𝗼: ✅Notices when recommendations actually make sense 🧠Thinks critically about usefulness, intent, and context 🖥️Cares about accuracy in digital experiences   This project is built for you. Contract type: Freelance Language:Tamil (India) Location: Chennai Estimated volume: 8 - 10 hours Start date: The project runs on a weekly basis.    What you will do: Review search queries with results personalized based on your activity history Evaluate suggested places (e.g., restaurants or locations) related to places you’ve previously visited Rate whether the suggested places are relevant and useful Follow project guidelines and complete tasks accurately Requirements: To be located and have the right to work in India. An existing, actively used Gmail account with prior usage history on Google Maps. Participation is limited to maximum three project rounds. Please note that the task request will be dynamic and we will be providing you with a heads-up as soon as possible once there is a project round available for you. Please note: This project requires opt-in, consent-based access to limited elements of your activity history. A consent form will be provided for you to review and sign before participation. Please note that the consent form and its terms may be subject to change as project requirements evolve. A desktop or laptop computer is required to complete the application and onboarding process. Mobile devices are not supported.

Location: India Workplace: remote We are looking for qualified raters to support a project focused on evaluating personalized search and location recommendations. This role involves rating the relevance and usefulness of suggested places based on personalized results and defined project guidelines.   𝗜𝗳 𝘆𝗼𝘂’𝗿𝗲 𝘀𝗼𝗺𝗲𝗼𝗻𝗲 𝘄𝗵𝗼: ✅Notices when recommendations actually make sense 🧠Thinks critically about usefulness, intent, and context 🖥️Cares about accuracy in digital experiences   This project is built for you. Contract type: Freelance Language:Bengali (India) Location: Kolkata Estimated volume: 8 - 10 hours Start date: The project runs on a weekly basis.    What you will do: Review search queries with results personalized based on your activity history Evaluate suggested places (e.g., restaurants or locations) related to places you’ve previously visited Rate whether the suggested places are relevant and useful Follow project guidelines and complete tasks accurately Requirements: To be located and have the right to work in India. An existing, actively used Gmail account with prior usage history on Google Maps. Participation is limited to maximum three project rounds. Please note that the task request will be dynamic and we will be providing you with a heads-up as soon as possible once there is a project round available for you. Please note: This project requires opt-in, consent-based access to limited elements of your activity history. A consent form will be provided for you to review and sign before participation. Please note that the consent form and its terms may be subject to change as project requirements evolve. A desktop or laptop computer is required to complete the application and onboarding process. Mobile devices are not supported.

Location: India Workplace: remote We are looking for qualified raters to support a project focused on evaluating personalized search and location recommendations. This role involves rating the relevance and usefulness of suggested places based on personalized results and defined project guidelines.   𝗜𝗳 𝘆𝗼𝘂’𝗿𝗲 𝘀𝗼𝗺𝗲𝗼𝗻𝗲 𝘄𝗵𝗼: ✅Notices when recommendations actually make sense 🧠Thinks critically about usefulness, intent, and context 🖥️Cares about accuracy in digital experiences   This project is built for you. Contract type: Freelance Language:Gujarati (India) Location: Ahmedabad Estimated volume: 8 - 10 hours Start date: The project runs on a weekly basis.    What you will do: Review search queries with results personalized based on your activity history Evaluate suggested places (e.g., restaurants or locations) related to places you’ve previously visited Rate whether the suggested places are relevant and useful Follow project guidelines and complete tasks accurately Requirements: To be located and have the right to work in India. An existing, actively used Gmail account with prior usage history on Google Maps. Participation is limited to maximum three project rounds. Please note that the task request will be dynamic and we will be providing you with a heads-up as soon as possible once there is a project round available for you. Please note: This project requires opt-in, consent-based access to limited elements of your activity history. A consent form will be provided for you to review and sign before participation. Please note that the consent form and its terms may be subject to change as project requirements evolve. A desktop or laptop computer is required to complete the application and onboarding process. Mobile devices are not supported.