Удалённая работа

Задачи: — Редактировать длинные формы контента B2B SaaS, включая SEO/AEO/GEO и thought leadership — Проводить обзор контента и давать авторам подробную обратную связь, от общей концепции до конкретных правок — Обеспечивать соответствие контента брифу, бизнес-целям клиента и целевой аудитории — Работать с определённым пулом клиентов, чтобы глубоко понимать их бизнес и стратегию Требования: — Опыт написания и редактирования разнообразного контента для B2B технологий, особенно длинных форм (блоги, электронные книги, руководства) — Знание основ SEO и AEO/GEO практик — Умение давать конструктивную и уважительную обратную связь — Быстрое освоение новых индустрий, компаний и продуктов — Интерес и знание индустрии B2B технологий и трендов контент-маркетинга — Готовность работать 5-10 часов в неделю с гибким графиком и сдавать правки в течение 1 рабочего дня Желательно: — Опыт работы в B2B технологической компании — Опыт разработки и реализации контент-стратегий — Опыт наставничества или управления авторами Условия: — Полностью удалённая работа (Америка или EMEA) — Фриланс — Ставка $65 в час

Location: Ukraine; Czech Republic; Latvia; Spain; Albania; Lithuania; Greece; Bosnia & Herzegovina; Croatia; Estonia; Serbia; Poland; Armenia; Portugal; Italy; Malta; Türkiye; Montenegro; Romania Workplace: Remote Location: Fully remote (EMEA timezone) Start date: ASAP Languages: Fluent English required Industry: Cloud Computing / AI / European Deep-Tech SaaS ABOUT THE ROLE Pragmatike is recruiting on behalf of a fast-scaling, well-funded distributed cloud infrastructure startup building next-generation AI-native cloud services. The company is redefining how compute is delivered by providing GPU-powered infrastructure for AI/ML workloads, secure storage, and high-speed data transfer through a decentralized architecture that significantly reduces environmental impact compared to traditional cloud providers. We are seeking a ML Ops Engineer with strong experience in production-grade model serving and infrastructure for AI systems. This is a highly technical, hands-on role focused on building scalable, reliable, and efficient ML inference platforms powering real-time AI applications. You will be responsible for designing and operating the core infrastructure that serves machine learning models at scale. You will work closely with infrastructure, platform, and applied AI teams to ensure high availability, low latency, and cost-efficient inference systems. Strong ownership, production mindset, and experience with distributed GPU systems are essential. YOUR RESPONSIBILITIES - Build and operate production-grade model serving infrastructure using frameworks such as vLLM, TGI, Triton, or equivalent - Design and implement robust deployment pipelines with blue/green and canary rollout strategies for ML models - Develop and maintain auto-scaling systems, multi-model serving architectures, and intelligent request routing layers - Optimize GPU utilization, memory efficiency, network throughput, and model artifact storage performance - Design observability systems for tracking inference latency, throughput, GPU usage, cost metrics, and system health - Manage model registries and CI/CD pipelines enabling automated and reproducible model deployments - Own the full lifecycle of ML systems from development through production, including operational support and on-call responsibilities - Define engineering best practices and contribute to platform scalability in a fast-moving startup environment REQUIRED QUALIFICATIONS - 4+ years of experience in ML Ops, Platform Engineering, SRE, or similar infrastructure roles focused on ML systems - Hands-on experience with model serving frameworks such as vLLM, TGI, Triton, or equivalent - Strong background in container orchestration and operating GPU-based workloads in production - Experience with MLOps tooling including model registries, experiment tracking, and automated deployment pipelines - Proficiency in Python and infrastructure-as-code tools (e.g., Terraform, Helm, or similar) - Strong understanding of distributed systems, performance tuning, and production reliability engineering - Ability to effectively use AI coding assistants to accelerate development and debugging workflows - Ownership mindset with the ability to operate independently in a remote-first environment PREFERRED QUALIFICATIONS - Experience with ML platforms such as Kubeflow, MLflow, or KubeAI - Knowledge of GPU scheduling, CUDA/ROCm optimization, or multi-tenant inference systems - Experience with cost optimization across different GPU types and inference workloads - Background in early-stage startups or greenfield infrastructure projects - Proven experience building production systems from scratch rather than maintaining legacy platforms WHY JOIN US - Take ownership of critical infrastructure powering a rapidly scaling AI-native cloud platform - Build foundational ML inference systems from the ground up in a high-growth, well-funded startup - Work at the intersection of distributed systems, GPU computing, and sustainable cloud architecture - Gain deep expertise in next-generation AI infrastructure and large-scale model serving systems - Influence core engineering decisions and define best practices that will scale with the company. Pragmatike is committed to a fair, transparent, and inclusive recruitment process. We do not discriminate based on age, disability, gender, gender identity or expression, marital or civil partner status, pregnancy or maternity, race, religion or belief, sex, or sexual orientation. In accordance with GDPR, your personal data will be processed lawfully, fairly, and securely, and used solely for recruitment purposes, including sharing it with our client(s) for employment consideration.

Location: Ukraine; Czech Republic; Bulgaria; Latvia; Spain; Hungary; Albania; Lithuania; Greece; Bosnia & Herzegovina; Croatia; Estonia; Serbia; Poland; Armenia; Portugal; Italy; Malta; Türkiye; Montenegro; Romania Workplace: Remote Location: Fully remote (EMEA timezone) Start date: ASAP Languages: Fluent English required Industry: Cloud Computing / AI / European Deep-Tech SaaS ABOUT THE ROLE Pragmatike is recruiting on behalf of a fast-scaling, well-funded distributed cloud infrastructure startup building next-generation AI-native cloud services. The company is redefining how compute is delivered by providing GPU-powered infrastructure for AI/ML workloads, secure storage, and high-speed data transfer through a decentralized architecture that significantly reduces environmental impact compared to traditional cloud providers. We are seeking a AI Infrastructure Engineer with strong experience in production-grade model serving and infrastructure for AI systems. This is a highly technical, hands-on role focused on building scalable, reliable, and efficient ML inference platforms powering real-time AI applications. You will be responsible for designing and operating the core infrastructure that serves machine learning models at scale. You will work closely with infrastructure, platform, and applied AI teams to ensure high availability, low latency, and cost-efficient inference systems. Strong ownership, production mindset, and experience with distributed GPU systems are essential. YOUR RESPONSIBILITIES - Build and operate production-grade model serving infrastructure using frameworks such as vLLM, TGI, Triton, or equivalent - Design and implement robust deployment pipelines with blue/green and canary rollout strategies for ML models - Develop and maintain auto-scaling systems, multi-model serving architectures, and intelligent request routing layers - Optimize GPU utilization, memory efficiency, network throughput, and model artifact storage performance - Design observability systems for tracking inference latency, throughput, GPU usage, cost metrics, and system health - Manage model registries and CI/CD pipelines enabling automated and reproducible model deployments - Own the full lifecycle of ML systems from development through production, including operational support and on-call responsibilities - Define engineering best practices and contribute to platform scalability in a fast-moving startup environment REQUIRED QUALIFICATIONS - 4+ years of experience in ML Ops, Platform Engineering, SRE, or similar infrastructure roles focused on ML systems - Hands-on experience with model serving frameworks such as vLLM, TGI, Triton, or equivalent - Strong background in container orchestration and operating GPU-based workloads in production - Experience with MLOps tooling including model registries, experiment tracking, and automated deployment pipelines - Proficiency in Python and infrastructure-as-code tools (e.g., Terraform, Helm, or similar) - Strong understanding of distributed systems, performance tuning, and production reliability engineering - Ability to effectively use AI coding assistants to accelerate development and debugging workflows - Ownership mindset with the ability to operate independently in a remote-first environment PREFERRED QUALIFICATIONS - Experience with ML platforms such as Kubeflow, MLflow, or KubeAI - Knowledge of GPU scheduling, CUDA/ROCm optimization, or multi-tenant inference systems - Experience with cost optimization across different GPU types and inference workloads - Background in early-stage startups or greenfield infrastructure projects - Proven experience building production systems from scratch rather than maintaining legacy platforms WHY JOIN US - Take ownership of critical infrastructure powering a rapidly scaling AI-native cloud platform - Build foundational ML inference systems from the ground up in a high-growth, well-funded startup - Work at the intersection of distributed systems, GPU computing, and sustainable cloud architecture - Gain deep expertise in next-generation AI infrastructure and large-scale model serving systems - Influence core engineering decisions and define best practices that will scale with the company. Pragmatike is committed to a fair, transparent, and inclusive recruitment process. We do not discriminate based on age, disability, gender, gender identity or expression, marital or civil partner status, pregnancy or maternity, race, religion or belief, sex, or sexual orientation. In accordance with GDPR, your personal data will be processed lawfully, fairly, and securely, and used solely for recruitment purposes, including sharing it with our client(s) for employment consideration.

Location: Ukraine; Czech Republic; Latvia; Spain; Albania; Lithuania; Greece; Bosnia & Herzegovina; Croatia; Estonia; Serbia; Poland; Armenia; Portugal; Italy; Malta; Türkiye; Montenegro; Romania Workplace: Remote Location: Fully remote (EMEA timezone) Start date: ASAP Languages: Fluent English required Industry: Cloud Computing / AI / European Deep-Tech SaaS ABOUT THE ROLE Pragmatike is recruiting on behalf of a fast-scaling, well-funded distributed cloud infrastructure startup building next-generation AI-native cloud services. The company is redefining how compute is delivered by providing GPU-powered infrastructure for AI/ML workloads, secure storage, and high-speed data transfer through a decentralized architecture that significantly reduces environmental impact compared to traditional cloud providers. We are seeking a ML Ops Engineer with strong experience in production-grade model serving and infrastructure for AI systems. This is a highly technical, hands-on role focused on building scalable, reliable, and efficient ML inference platforms powering real-time AI applications. You will be responsible for designing and operating the core infrastructure that serves machine learning models at scale. You will work closely with infrastructure, platform, and applied AI teams to ensure high availability, low latency, and cost-efficient inference systems. Strong ownership, production mindset, and experience with distributed GPU systems are essential. YOUR RESPONSIBILITIES - Build and operate production-grade model serving infrastructure using frameworks such as vLLM, TGI, Triton, or equivalent - Design and implement robust deployment pipelines with blue/green and canary rollout strategies for ML models - Develop and maintain auto-scaling systems, multi-model serving architectures, and intelligent request routing layers - Optimize GPU utilization, memory efficiency, network throughput, and model artifact storage performance - Design observability systems for tracking inference latency, throughput, GPU usage, cost metrics, and system health - Manage model registries and CI/CD pipelines enabling automated and reproducible model deployments - Own the full lifecycle of ML systems from development through production, including operational support and on-call responsibilities - Define engineering best practices and contribute to platform scalability in a fast-moving startup environment REQUIRED QUALIFICATIONS - 4+ years of experience in ML Ops, Platform Engineering, SRE, or similar infrastructure roles focused on ML systems - Hands-on experience with model serving frameworks such as vLLM, TGI, Triton, or equivalent - Strong background in container orchestration and operating GPU-based workloads in production - Experience with MLOps tooling including model registries, experiment tracking, and automated deployment pipelines - Proficiency in Python and infrastructure-as-code tools (e.g., Terraform, Helm, or similar) - Strong understanding of distributed systems, performance tuning, and production reliability engineering - Ability to effectively use AI coding assistants to accelerate development and debugging workflows - Ownership mindset with the ability to operate independently in a remote-first environment PREFERRED QUALIFICATIONS - Experience with ML platforms such as Kubeflow, MLflow, or KubeAI - Knowledge of GPU scheduling, CUDA/ROCm optimization, or multi-tenant inference systems - Experience with cost optimization across different GPU types and inference workloads - Background in early-stage startups or greenfield infrastructure projects - Proven experience building production systems from scratch rather than maintaining legacy platforms WHY JOIN US - Take ownership of critical infrastructure powering a rapidly scaling AI-native cloud platform - Build foundational ML inference systems from the ground up in a high-growth, well-funded startup - Work at the intersection of distributed systems, GPU computing, and sustainable cloud architecture - Gain deep expertise in next-generation AI infrastructure and large-scale model serving systems - Influence core engineering decisions and define best practices that will scale with the company. Pragmatike is committed to a fair, transparent, and inclusive recruitment process. We do not discriminate based on age, disability, gender, gender identity or expression, marital or civil partner status, pregnancy or maternity, race, religion or belief, sex, or sexual orientation. In accordance with GDPR, your personal data will be processed lawfully, fairly, and securely, and used solely for recruitment purposes, including sharing it with our client(s) for employment consideration.

Location: Dubai Workplace: remote Ajax Systems is an international tech company and the largest manufacturer of security systems in Europe, with over 4.5 million end users and 330K PRO users in more than 180 countries worldwide. The company offers end-to-end solutions for protecting homes and businesses оf any scale. To date, Ajax product portfolio includes 280 devices for intrusion protection, video surveillance, fire and life safety, and comfort and automation.  The company employs 5, 000 specialists.    The best software combined with powerful hardware has forever changed the perception of security systems for users and industry professionals. Being recognized at the biggest specialized exhibitions such as IFSEC, Expoprotection and Intersec, as well as winning prestigious awards from industry-leading media like PSI magazine and GIT SECURITY, today Ajax is one of the most awarded security systems in Europe.   Ajax Systems production includes four factories, two of which are located in Ukraine, one in Turkey and one in Vietnam. At the same time, the company's certification according to the ISO 14001 standard ensures a minimal impact of production on the environment. The selection of components for Ajax device manufacturing is determined by the presence of manufacturer declarations confirming compliance with RoHS requirements.   The company emerged against the backdrop of revolution and war. That's why resilience is the cornerstone of the brand's DNA, and the fight against evil by creating the best security and automation devices is Ajax unwavering mission. Qualifications: 5+ years of commercial experience in Business and Sales Management in the electronic security industry . Sales experience in the UAE region, operating from Dubai. Strong technical knowledge of electronic security systems , including access control, video surveillance, intrusion detection. Proven track record of being involved in the entire sales process, from identifying new business opportunities, developing proposals and presentations, negotiating, and closing deals. Developing and implementing successful sales strategies. Excellent communication and interpersonal skills to build relationships with customers, partners, and industry experts at an executive level. Strong analytical skills to analyze market trends, identify customer needs, and develop effective solutions. Ability to manage and prioritize multiple projects and tasks simultaneously. Knowledge of the latest technologies and trends in electronic security, such as cloud-based solutions, IoT, and AI-based analytics. A strong combination of technical knowledge, sales expertise, and strong communication skills. Conversational English and Arabic required Key Responsibilities: Achievement of Sales Targets: Consistently meet or exceed assigned sales targets and key performance indicators (KPIs) on a quarterly and annual basis. Develop and implement a strategic business development plan in the UAE, aligned with company objectives and market trends. Identify, evaluate, and onboard new partners across the region, ensuring coverage in key markets and verticals. Identify and pursue new business opportunities that align with the company's growth strategy. Develop and maintain relationships with key clients, partners, and stakeholders. Conduct market research to identify new trends, opportunities, and potential risks. Analyze market data to develop and execute effective sales strategies. Collaborate with cross-functional teams to ensure the successful delivery of products and services. Prepare and deliver presentations to potential clients and partners. Negotiate contracts and agreements with clients and partners. Manage and prioritize multiple projects and initiatives simultaneously. We offer: Competitive wages - and a transparent motivation system. A product that sells itself. Freedom to make decisions and implement ideas. A zero bullshit culture. A strong and well-coordinated team of professionals. Ambitious tasks and challenges. Opportunity to work with the most recognized security system and develop your career. If you are a results-driven individual with a passion for business development, we would love to hear from you. Please submit your resume in English for consideration.

Задачи: • Разработка нового функционала для сайта и основных приложений • Повышение производительности, масштабируемости и качества кода • Проектирование и внедрение масштабируемых архитектурных решений • Работа с React, TypeScript, JavaScript, Node.js и современными фронтенд-технологиями • Написание и поддержка unit и интеграционных тестов • Выявление и устранение проблем с безопасностью и производительностью • Исследование и внедрение новых технологий и решений Требования: • Опыт работы не менее 7 лет • Владение английским языком (задачи и документация на английском) • Знание русского языка будет плюсом • Опыт работы с AI-технологиями и интеграции AI-решений будет плюсом

Location: New York Workplace: Remote Blockstream https://blockstream.com/ was founded in 2014 by Dr. Adam Back https://en.wikipedia.org/wiki/Adam_Back and a group of fellow cryptographers and engineers passionate about Bitcoin and its potential to change the future of finance. We have become a market leader in Bitcoin security and Layer-2 technologies. Our products are designed to make financial systems more efficient, secure, and robust. We are seeking a Technical Solutions Consultant (Pre-Sales), a customer-facing technical expert responsible for helping financial institutions evaluate, design, and adopt Blockstream's enterprise software solutions. Operating within the Consulting Services organization, the Solutions Engineer partners closely with Enterprise Sales, Product Management, Engineering, and Delivery teams to support the customer journey from technical discovery and solution architecture through product demonstrations, Proof of Concepts (PoCs), and technical validation. This is not a traditional pre-sales role. You will spend significant time working directly with customers, often onsite, understanding their business, technical, and regulatory requirements, designing enterprise-grade solutions, and acting as a trusted technical advisor throughout the sales cycle. You will help financial institutions understand how Blockstream's products solve complex business challenges while ensuring proposed solutions are scalable, practical, and aligned with customer needs. What You'll Be Doing (Responsibilities): Customer Engagement & Technical Sales - Partner with Enterprise Sales to support strategic opportunities across financial institutions. - Lead technical discovery workshops to understand customers' business, operational, regulatory, and technical requirements. - Build trusted relationships with customer stakeholders, including CIOs, CTOs, Enterprise Architects, Operations, and Engineering teams. - Deliver compelling product demonstrations, technical presentations, and solution walkthroughs. - Support Proof of Concepts (PoCs), solution validation activities, and technical evaluations. - Serve as the primary technical advisor throughout the sales process. Solution Design & Architecture - Design end-to-end solution architectures leveraging Blockstream's enterprise software products. - Translate customer requirements into scalable technical solutions and implementation approaches. - Define solution assumptions, integration approaches, deployment models, and technical dependencies. - Collaborate with customers to identify implementation risks and recommend best practices. Commercial & Deal Support - Lead or contribute to responses for RFPs, RFIs, technical questionnaires, and security assessments. - Support commercial discussions by providing technical expertise and solution positioning. - Help package Blockstream products into repeatable enterprise offerings, demonstrations, and implementation approaches. - Clearly communicate the value proposition and differentiators of Blockstream's products. Cross-Functional Collaboration - Partner with Product Management, Engineering, Security, Delivery, and Consulting teams. - Feed customer and market feedback back to Product Management. - Help improve demos, technical collateral, reference architectures, and solution playbooks. - Contribute to repeatable implementation methodologies and sales enablement materials. What We Look for In You (Required Qualifications): - 5-8 years of experience in Solutions Engineering, Sales Engineering, Solution Architecture, Technical Consulting, or Enterprise Software Pre-Sales. - Experience supporting enterprise software sales within banking, financial services, fintech, or technology infrastructure environments. - Strong understanding of enterprise software architecture, APIs, integration patterns, cloud technologies, and modern software deployment models. - Experience designing end-to-end enterprise solutions for complex customer environments. - Strong presentation, communication, and storytelling skills, with the ability to explain complex technical concepts to both business and technical audiences. - Experience delivering customer workshops, technical demonstrations, and executive presentations. - Experience supporting RFPs, RFIs, technical proposals, and solution validation. - Ability to work collaboratively across Enterprise Sales, Product, Engineering, Consulting, and Delivery teams. - Self-starter with proven ability to manage multiple customer engagements while delivering a high-quality customer experience. - Willingness to travel regularly to customer locations. Languages: - Excellent English skills required. Location: - New York (Remote) Nice To Haves (Preferred Qualifications): - Experience working with financial institutions, including private banking, wealth management, custody, payments, treasury, or capital markets. - Background in blockchain, Bitcoin, digital assets, tokenization, or fintech. - Knowledge of core banking platforms, financial market infrastructure, or enterprise integration technologies. - Familiarity with Layer-2 technologies and digital asset infrastructure. - Experience in enterprise software organizations serving regulated industries. - Track record of feeding customer and market feedback into product strategy.

Задачи: — создавать контент-план для коммерческих аккаунтов, чтобы контент влиял на узнаваемость бренда, новых клиентов и увеличение прибыли — писать сценарии для Reels и постов-каруселей, включая поиск идей, референсов, трендов — писать сценарии для воронок в хайлайтс, шапку аккаунта и под публикации — придумывать и внедрять механики вовлечения аудитории — анализировать охваты, заявки и продажи, выдвигать и тестировать гипотезы — участвовать в исследовании аудитории и конкурентов бизнеса — монтировать Reels и контент в актуальное, создавать дизайн постов-каруселей и чек-листов Требования: — умение писать сценарии, которые приводят к лайкам и покупкам — умение монтировать с пониманием влияния картинки на вовлечение и продажи — сильная насмотренность и способность объяснить успех роликов — умение работать с цифрами, анализировать контент и предлагать гипотезы — понимание целей каждой единицы контента и ожидаемых результатов — опыт в запусках или блогерских проектах будет плюсом Условия: — удалённая работа — гибкий график — официальное оформление (самозанятость / ИП РФ) — оплата: фикс + бонус за результат, обсуждается на созвоне — рост и развитие в сильном проекте

Вакансия Principal Customer Success Manager (Armis/Veza) в компании Armis Security. Возможна удалённая работа. При отклике необходимо указать, что вакансия найдена на Remocate.

Location: Remote Europe Who are we? Tripledot Studios is one of the largest independent mobile games companies in the world. We are a multi-award-winning organisation, with a global 2,500+ strong team across 12 studios. Our expanded portfolio includes some of the biggest titles in mobile gaming, collectively reaching top chart positions around the world and engaging over 25 million daily active users. Tripledot’s guiding principle is that when people love what they do, what they do will be loved by others. We’re building a company we’re proud of. One filled with driven, incredibly smart and detail-orientated people, who LOVE making games. Our ambition is to be the most successful games company in the world, and we’re just getting started. This role will be working at Lion Studios Lion Studios is a mobile games publisher that works with mobile developers to get their games discovered by players around the world. Headquartered in San Francisco, Lion Studios’ creative and strategy teams utilize their expertise to help game developers break through the noise and grow their businesses. Since launching in 2018, Lion Studios has driven 90% of its games to the Top 10 in the App Store and Google Play and helped drive 16 games to #1 in the US App Store’s Top Free chart. The Impact You’ll Make: Onboard and manage gaming studios with diverse game portfolios, focusing on the gaming market in Turkey. Identify promising games and studios in the market, and cultivate strong relationships. Lead the full lifecycle of game development, from ideation to launch, ensuring the creation of innovative and engaging mobile games. Conduct competitive analysis of the mobile gaming landscape, including user behavior and key metrics, to inform the product roadmap. Align product development with Lion Studios’ strategic and competitive positioning. Collaborate cross-functionally with engineers, designers, and marketers to bring game concepts and features to life as an end-to-end product owner. Required Qualifications: 3+ years of experience in product/project management, business development, or a related role within the mobile gaming industry (experience in managing gaming studios is a plus). Proven experience in the ideation and development of new mobile games or apps, from concept through to production. Strong verbal and written communication skills, with excellent organizational and analytical abilities. Capable of working independently and as part of a team in a fast-paced, dynamic environment. Preferred Qualifications : Experience working on mobile games with a proven track record of driving successful planning, development, and launches. Strong understanding of the latest trends in mobile gaming. Exceptional communication skills, with the ability to engage with and understand both technical subjects and emerging technologies, and their relevance to the marketplace. Ability to clearly communicate insights to both technical and non-technical audiences. Previous experience in a startup environment. Join us at Lion Studios to shape the next generation of hit mobile games - where creativity meets performance, and innovation drives results. Ready to lead the pride? Apply now!

Playrix запускает оплачиваемую VFX-стажировку длительностью 4 недели с обучением под руководством ментора, после чего стажеры будут работать над реальными задачами в продуктовой команде. Требования: — базовые навыки в VFX или анимации — наличие портфолио — интерес к мобильному геймдеву — опыт работы с Unity или Unreal Engine будет преимуществом Лучшие стажеры получат предложение о работе в штат.

Задачи: — Разрабатывать и развивать существующий продукт. — Дорабатывать и оптимизировать существующие решения. — Проектировать структуру базы данных. — Работать с аналитиком, искать оптимальные решения. — Выполнять статистические и аналитические расчёты над большими объёмами данных: медианы, перцентили (p50/p95/p99), скользящие средние и агрегаты с пониманием того, как они вычисляются, и умением реализовать это эффективно. Требования (обязательно): — Опыт коммерческой разработки на PHP более 4 лет. — Свободное владение SQL (PostgreSQL): написание запросов, оптимизация, работа с индексами. — Практический опыт статистических и аналитических расчётов над большими объёмами данных: медианы, перцентили (p50/p95/p99), скользящие средние и агрегаты с пониманием, как они вычисляются и как это реализовать эффективно. — Уверенное владение Git. — Понимание принципов ООП, SOLID. — Умение разрабатывать на малознакомом фреймворке, придерживаться подходов, принятых в проекте. — Опыт работы с JavaScript на клиенте, работа с фреймворками (Vue.js). — Высшее техническое образование. Условия: — Полностью удалённая работа. — Гибкий график, полная занятость (9:00–18:00 по Новосибирску). — Оформление по ИП или самозанятости. — Долгосрочное сотрудничество.

Location: Dubai Workplace: remote Ajax Systems is an international tech company and the largest manufacturer of security systems in Europe, with over 4.5 million end users and 330K PRO users in more than 180 countries worldwide. The company offers end-to-end solutions for protecting homes and businesses оf any scale. To date, Ajax product portfolio includes 280 devices for intrusion protection, video surveillance, fire and life safety, and comfort and automation.  The company employs 5, 000 specialists.    We develop local teams because we understand local experts best comprehend market specifics. The company has sales representatives worldwide, including Italy, Spain, Germany, France, the United Kingdom, the USA, Australia, South Africa and other regions. The Global Business Development team is like-minded people who share the ambitious goals of Ajax Systems.    The best software combined with powerful hardware has forever changed the perception of security systems for users and industry professionals. Being recognized at the biggest specialized exhibitions such as IFSEC, Expoprotection and Intersec, as well as winning prestigious awards from industry-leading media like PSI magazine and GIT SECURITY, today Ajax is one of the most awarded security systems in Europe.   Ajax Systems production includes four factories, two of which are located in Ukraine, one in Turkey and one in Vietnam. At the same time, the company's certification according to the ISO 14001 standard ensures a minimal impact of production on the environment. The selection of components for Ajax device manufacturing is determined by the presence of manufacturer declarations confirming compliance with RoHS requirements.   The company emerged against the backdrop of revolution and war. That's why resilience is the cornerstone of the brand's DNA, and the fight against evil by creating the best security and automation devices is Ajax unwavering mission. Qualifications: 5+ years of experience in fire and life safety or a similar industry. Sales experience in the UAE region, operating from Dubai. Strong technical knowledge of fire systems. Proven track record of being involved in the entire sales process, from identifying new business opportunities, developing proposals and presentations, negotiating, and closing deals. Developing and implementing successful sales strategies. Excellent communication and interpersonal skills to build relationships with customers, partners, and industry experts at an executive level. Strong analytical skills to analyze market trends, identify customer needs, and develop effective solutions. Ability to manage and prioritize multiple projects and tasks simultaneously. Knowledge of the latest technologies and trends in electronic security, such as cloud-based solutions and IoT A strong combination of technical knowledge, sales expertise, and strong communication skills. Conversational English and Arabic required Key Responsibilities: Achievement of Sales Targets: Consistently meet or exceed assigned sales targets and key performance indicators (KPIs) on a quarterly and annual basis. Develop and implement a strategic business development plan in the UAE, aligned with company objectives and market trends. Identify, evaluate, and onboard new partners across the region, ensuring coverage in key markets and verticals. Identify and pursue new business opportunities that align with the company's growth strategy. Develop and maintain relationships with key clients, partners, and stakeholders. Conduct market research to identify new trends, opportunities, and potential risks. Analyze market data to develop and execute effective sales strategies. Collaborate with cross-functional teams to ensure the successful delivery of products and services. Prepare and deliver presentations to potential clients and partners. Negotiate contracts and agreements with clients and partners. Manage and prioritize multiple projects and initiatives simultaneously. We offer: A truly innovative product that sells itself. Greenfield territory. A zero bullshit culture. A strong and well-coordinated team of professionals. Ambitious tasks and challenges. Being a part of the emerging leadership in the security space. If you are a results-driven individual with a passion for business development, we would love to hear from you. Please submit your resume in English for consideration.

Задачи: — Полный цикл разработки игр в жанре симуляторов и айдлеров — Верстка UI — Делать качественно Требования: — Уверенное владение Unity (C#) — Понимание архитектуры (SOLID, разделение логики и представления), системного и модульного подхода — Опыт быстрой и автономной разработки Большой плюс: — Наличие проектов в релизе — Опыт работы с шейдерами, GPU Instancing, Cinemachine Условия: — Удалённая работа — Фуллтайм

Компания Mira, специализирующаяся на улучшении гормонального здоровья с помощью технологий искусственного интеллекта, ищет основного продуктового дата-сайентиста для удалённой работы в рамках договора с подрядчиком в пределах ЕС. В обязанности входит разработка и внедрение аналитических моделей, направленных на отслеживание и понимание гормональных изменений на разных этапах жизни пользователей. Кандидат должен обладать глубокими знаниями в области анализа данных и машинного обучения, а также опытом работы с продуктами, связанными с биомедицинскими данными. Работа предполагает тесное взаимодействие с командой разработки и продукт-менеджерами для создания инновационных решений в сфере здоровья.

ArtWorkout is a mobile app that teaches users how to draw in a fun, gamified way. With over 1 million monthly active users, 4000+ lessons, and a hybrid monetization model (subscription + ads), the app is scaling quickly. It is used worldwide by people who want to learn to draw with step-by-step lessons and real-time feedback, have fun and relax, improve hand coordination after strokes or injuries, and give kids meaningful screen time. Key Responsibilities: — Be the primary source of innovative ideas for product growth, focusing on paywall conversion, user onboarding, and retention strategies. — Take full ownership of the first-session customer journey mapping (CJM), analyze every step, remove friction, and enhance user delight. — Develop and maintain a clear product roadmap, prioritizing features and experiments based on user feedback, data analysis, and business goals. — Use analytics tools to monitor key product metrics, conduct A/B tests, and make informed decisions for continuous improvement. — Work with engineering, marketing, and support teams to implement ideas and keep the product message unified. — Analyze market trends, competitor strategies, and emerging technologies in mobile apps and EdTech. Requirements: — 3+ years of experience as a Product Manager for a B2C mobile application with a strong portfolio of successful projects. — Demonstrated success optimizing paywalls and implementing monetization strategies such as freemium, subscriptions, and in-app purchases. — Deep understanding of user psychology and passion for intuitive, engaging user experiences. — Ability to derive actionable insights and compelling hypotheses from data. — Creative and strategic thinking with confidence to challenge the status quo and propose bold ideas. — Proactive, autonomous ownership and ability to drive projects forward with minimal supervision. Conditions: — Competitive salary aligned with the market and experience. — Impactful work on a product used by a global audience. — Collaborative and supportive team of talented professionals. — Opportunities for professional development and learning. — Standard benefits package including paid vacation and sick leave.