Вакансии

Задачи: — Разрабатывать backend-сервисы, используя Claude Code, Codex или другие AI-агенты для ускорения работы — Проектировать и реализовывать интеграции с внешними API (рекламные сети, трекеры, аналитика, платёжные системы) — Автоматизировать бизнес-процессы — сбор данных, отчётность, мониторинг — Прототипировать решения: от идеи до рабочего MVP за часы — Ревьюить и рефакторить код — как свой, так и сгенерированный агентом — Настраивать окружение для AI-агентов: инструкции, правила, контекст проекта Требования: — Python: коммерческий опыт от 2 лет. Уверенное владение asyncio, FastAPI или Flask, SQLAlchemy или аналоги. Понимание GIL, менеджеров контекста, декораторов, генераторов — не на уровне “знаю что это”, а используете в работе — Go (будет серьёзным плюсом): goroutines, channels, стандартная библиотека, понимание concurrency-модели — Базы данных: PostgreSQL или MySQL на уровне написания сложных запросов, понимание индексов, миграций, оптимизации — Опыт с Redis — API: проектирование и реализация REST API, работа с вебхуками, OAuth, rate limiting. Опыт интеграции с внешними сервисами в продакшене — Git: ветвление, ребейз, черри-пик, решение конфликтов — не гуглите каждый раз — Инфраструктура: Docker на уровне написания и отладки Dockerfile и docker-compose. Базовое понимание CI/CD — Linux: уверенная работа в терминале, дебаг на удалённом сервере, чтение логов Требования по AI-инструментам: — Реальный опыт работы с Claude Code, Codex, Cursor, Aider или другими AI-агентами — именно как инструмент в ежедневной разработке — Умение декомпозировать задачу для агента, управлять контекстом, задавать ограничения — Понимание, где агент силён, а где стабильно ошибается — и привычка проверять результат Не подойдёт, если: — Вы пришли в программирование через AI и не писали код самостоятельно до появления ChatGPT — Ваш коммерческий опыт меньше 1.5 лет — Вы не можете без подсказки объяснить, чем отличается процесс от потока, зачем нужен индекс в БД или как работает HTTP-запрос на уровне TCP — Ваш опыт с AI — только браузерный чат, без терминальных или IDE-агентов Условия: — Удалённо, ПН–ПТ, 10:00–19:00 МСК — Выплаты: от 1200-1500$ в месяц (по результатам собеседования, в дальнейшем возможен рост) — Оплачиваемая стажировка до 2 недель (полная ставка) — Выплаты 1 и 16 числа (USDT BEP-20) — Все расходы на AI-инструменты покрывает компания — Подписание договора NDA (по паспортным данным и видеоверификации)

Задачи: • Сбор, обработка и анализ медицинских, демографических и иных статистических данных по вопросам профилактики поведенческих факторов риска • Работа с обращениями и запросами органов государственной власти • Мониторинг реализации целевых показателей федеральных проектов, связанных с поведенческими факторами риска • Экспертиза и подготовка проектов нормативных правовых актов, отзывов на законопроекты в сфере общественного здоровья • Подготовка отчетов, аналитических материалов, служебных записок, участие в написание научных статей • Взаимодействие с другими органами государственной власти Требования: • Высшее образование • Excel, PowerPoint на продвинутом уровне • Владение статистическими инструментами SPSS / R / Stata / Python как преимущество • Английский язык на уровне выше среднего • Интерес к вопросам общественного здоровья • Развитые аналитические способности Условия: • Стабильная официальная заработная плата • Рабочий день с 9:30 до 18:15 (в пятницу до 17:00) • Оформление и социальные гарантии в соответствии с ТК РФ • Возможность быть причастным и влиять на развитие здравоохранения.

Location: Hong Kong Nex is on a mission to help families rediscover the joy of movement. Created by parents for parents, Nex combines technology and play to deliver fun, social, and interactive experiences powered by natural body motion, encouraging kids and adults to move more, play more, and have fun together. Nex Playground, the company’s award-winning active play system, is purpose-built to get families moving year-round, with safety and privacy as core considerations in its intentional design. It is certified kidSAFE+ COPPA compliant and built to support healthy, active play for all ages and abilities. Nex Playground features a growing library of 50+ experiences, including motion and dance games, fitness and educational experiences, and Nex Originals. Content includes collaborations with partners like Hasbro, Sesame Workshop, and NBCUniversal. Nex has been recognized by Fast Company’s Most Innovative Companies, TIME’s Best Inventions, and Parents’ Best Entertainment System for Families, and has earned Red Dot, IDEA, and Core77 international design awards. We encourage you to explore Have Fun and Is Motion Gaming Back? , as they offer a deeper look into our culture, values, and explain how our approach to motion gaming differs from previous generations. Nex employees may be expected to collaborate with colleagues across different time zones. Depending on the role and location, occasional travel may also be required for company events, external meetings, and other business-related activities. Important Notice: ⚠️ To protect yourself from recruitment scams, please note that Nex communicates through official company emails ending in @nex.inc . If you receive a suspicious email or message, please do not respond and report it immediately to us. Location: Hong Kong Type: 12-month contract (with possibility of conversion to full-time permanent role) The Role As a Software Engineer in Test at Nex, you will own stability and reliability testing for the Motion Development Kit (MDK), firmware, and hardware modules that power Nex Playground's AOSP-based motion-sensing device. You will build automated test frameworks, stress/soak testing infrastructure, and validation tools that catch instability, regressions, and hardware-integration failures before they reach production. You will work closely with the Framework Engineering and firmware/hardware teams to embed testability across the full Android stack, from low-level sensor drivers and HAL layers up through the MDK APIs that game developers build on . This role sits within a small, highly technical team that values both specialization and collaboration, with clear ownership of quality across core technology areas . The Mindset You are drawn to solving hard reliability problems in systems where hardware, firmware, and Android software all have to work together flawlessly, day after day. You care deeply about long-run stability, not just passing a test once, but proving a system holds up under sustained load, edge cases, and real-world conditions. You thrive in environments where deep systems debugging, Android/AOSP internals knowledge, and rigorous testing discipline directly shape what the platform can confidently ship . What You'll Do Design and build automated stability and reliability test frameworks for the Motion Development Kit (MDK), firmware, and hardware modules on an AOSP-based platform Develop soak testing, stress testing, and endurance testing pipelines to surface memory leaks, crashes, thermal issues, ANRs, and long-running failures Build test harnesses and hardware-in-the-loop (HIL) rigs to validate sensor, camera, and motion-tracking hardware under real and simulated conditions Create regression suites for firmware, HAL, and MDK releases, integrated into CI/CD to catch stability issues pre-release Investigate, reproduce, and drive root-cause analysis of field failures, crashes, kernel panics, and intermittent hardware/firmware defects using Android bug reports, logcat, and kernel logs Define and track reliability metrics such as MTBF, crash rates, ANR rates, and failure recurrence across hardware revisions and firmware/AOSP builds Partner with firmware, hardware, and platform engineers to define quality gates and exit criteria for new hardware/firmware/AOSP releases Write clean, well-tested test code and tooling that raises the engineering bar across the team Build dashboards and reporting for test coverage, defect trends, and release stability Participate in code reviews and contribute to shared tools, infrastructure, and cross-role projects (20% Time) Work with the dual-leadership model (Engineering Manager and Tech Lead) to align on quality priorities and technical direction Document test strategies, systems, and findings to support team knowledge sharing What You Bring 3+ years of professional experience in software test engineering, reliability engineering, or QA for embedded/firmware, Android, or hardware-integrated systems Proficiency in Python, with experience in at least one systems language (C++, C#, Java, Rust, or Go) Hands-on experience with stability, stress, soak, or endurance testing methodologies Experience testing Android/AOSP platforms, HAL, embedded firmware, device drivers, or hardware modules (sensors, motion tracking, cameras, or similar) Strong debugging skills across hardware, firmware, and software layers, including logcat, kernel logs, bug reports, logic analyzers, or serial/hardware diagnostics Experience building or maintaining CI/CD pipelines and automated regression suites Preferred Experience with AOSP build systems (Soong/Make), Android Test Harness, or Vendor Test Suite (VTS)/Compatibility Test Suite (CTS) Experience with hardware-in-the-loop (HIL) test rig design and automation Familiarity with embedded Linux, Android kernel internals, and Treble/HAL architecture Knowledge of communication protocols (I2C, SPI, UART, BLE) used in sensor and firmware integration Experience with reliability metrics and frameworks (MTBF, FMEA, fault injection testing) Familiarity with motion sensing, IMUs, computer vision, or signal processing validation Experience working in small, high-performance technical teams Background in consumer electronics, robotics, or Android-based hardware products Passion for pushing reliability standards and deep root-cause problem-solving We Offer Competitive compensation package. Flexible working hours and vacation policy. Product-driven culture that treasures talents and individual growth. Front-row seat and hands-on experience with cutting edge technologies in the evolving gaming field Nex is located in San Jose, California, USA and Hong Kong . Learn more about us at https://www.nexplayground.com/about . We encourage applications even if you don’t meet more than 50% of the requirements — we believe that experience comes in many forms! Nex is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, gender identity, and sexual orientation), national origin, ancestry, age, physical or mental disability, medical condition, genetic information, marital status, military or veteran status, or any other characteristic protected by applicable law. This policy applies to all individuals at every stage of the employment relationship, including all current and prospective employees, and covers all employment decisions including recruitment, hiring, job assignment, promotion, compensation, benefits, training, discipline and termination. We are committed to providing a workplace free from discrimination and harassment and to fostering an inclusive environment for all employees.

Location: Pakistan; Philippines; Mexico; Colombia; South Africa; India About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups, SaaS platforms, and digital-first businesses. Unlike traditional outsourcing models, you are placed directly with a client as an in-house team member, contributing to impactful, real-world products. Role Type: Full-time Engagement: Independent Contractor About the Company Our client is a fast-growing performance marketing agency that helps direct-to-consumer (DTC) brands scale profitably through Paid Media, Conversion Rate Optimization (CRO), creative strategy, and conversion-focused publisher networks. Acting as an extension of their clients’ in-house growth teams, they specialize in rapid testing, high-converting funnels, and data-driven experimentation to drive measurable revenue growth. Job Summary We're looking for a detail-oriented QA Engineer to join one of our growing client teams. This is an excellent opportunity for someone passionate about software quality, testing best practices, and delivering exceptional user experiences. You'll work closely with developers, product managers, and designers to ensure applications meet the highest standards before release. Whether you specialize in manual testing, automated testing, or both, you'll play a key role in identifying issues, improving product reliability, and helping build software that customers love. Key Responsibilities Design, execute, and maintain comprehensive test plans and test cases. Perform manual functional, regression, integration, exploratory, and user acceptance testing. Develop and maintain automated test scripts where applicable. Identify, document, prioritize, and track software defects. Work closely with software engineers to reproduce and resolve bugs. Participate in sprint planning, backlog grooming, and release planning. Validate new features, enhancements, and bug fixes before deployment. Perform API testing and verify backend functionality. Test web, mobile, and cloud-based applications across multiple browsers and devices. Collaborate with product and engineering teams to improve overall software quality. Contribute to continuous improvement of QA processes, documentation, and testing standards. Monitor application performance and usability during testing. Support production releases and perform post-release validation. Requirements 2+ years of experience in Software Quality Assurance (QA) or Software Testing. Strong understanding of the Software Development Life Cycle (SDLC), Software Testing Life Cycle (STLC), and Agile/Scrum methodologies. Experience performing both manual and automated testing across web, mobile, or SaaS applications. Proficiency with QA and testing tools such as Selenium, Cypress, Playwright, Appium, Postman, Swagger, JMeter, TestRail, Zephyr, Xray, Jira, Azure DevOps, Git, GitHub, GitLab, Jenkins, GitHub Actions, Docker, BrowserStack, and similar industry-standard platforms. Familiarity with programming or scripting languages such as JavaScript, TypeScript, Java, Python, C#, or SQL. Experience testing APIs, databases, cross-browser functionality, performance, and cloud-based applications using modern QA tools and frameworks. Strong analytical, troubleshooting, and problem-solving skills with exceptional attention to detail. Excellent written and verbal communication skills, with the ability to collaborate effectively with cross-functional engineering and product teams. Comfortable working independently in a fully remote, fast-paced environment. Nice to have: experience testing SaaS or mobile applications (iOS/Android), accessibility (WCAG), security or penetration testing, AI-assisted testing tools, distributed remote teams, and an ISTQB certification. Benefits 💰 Competitive salary based on experience and seniority 🚀 Work on impactful, user-facing products with a global reach 📈 Clear career progression in a high-growth tech environment 🌎 Fully remote role with an international team. 🎓 Access to ongoing learning and professional development. 🤝 Collaborative engineering culture with modern development practices.

Location: Palo Alto Workplace: Hybrid ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE This role focuses on building and operating the end-to-end execution, training, and data infrastructure that powers Mistral’s agentic models and coding assistants. You will be a core contributor to our agent research stack: designing scalable systems for synthetic data generation, building ultra-fast training and RL execution environments, and maintaining high-throughput execution engines. You will tackle the engineering challenges at every step of the agent lifecycle: from orchestrating 1M+ concurrent and short-lived sandboxes for untrusted code execution to optimizing agent training codebases, distributed trajectory collection pipelines, and dataset processing workflows across massive hybrid and multi-cloud clusters. WHAT YOU WILL DO - Large-Scale Sandboxing Infrastructure: Design, deploy, and operate our high-throughput sandboxing platform, executing LLM-generated untrusted code across over 1 million isolated environments concurrently for model evaluation and interactive RL environments. - Agent Data Generation Pipelines: Architect and scale high-throughput pipelines for synthetic code generation, agent trajectories, rollouts, and self-play data collection to power post-training and RL loops. - Training Codebase & Systems Optimization: Optimize agent training codebases and distributed execution runtimes (PyTorch, Ray, SLURM/Kubernetes) to minimize multi-step rollout overhead, improve GPU utilization, and eliminate scaling bottlenecks. - Low-Latency Orchestration & Warm Pooling: Reduce sandbox cold-start times to sub-second levels using container warm pools, snapshot/restore technology (e.g., CRIU, microVMs), and optimized image delivery layers across hybrid clusters. - Multi-Cluster Queueing & Resource Allocation: Implement Kubernetes-native custom controllers, CRDs, and queuing systems to dynamically route short-lived evaluation, synthetic data, and agent execution tasks across diverse hardware fleets. - Isolation, Security & Security Boundary: Ensure strict multi-tenant network and process isolation for untrusted agent code using container/sandboxing runtimes (e.g., gVisor, Firecracker) and default-deny network postures. - Operational Excellence: Maintain high availability, telemetry, and automated self-healing across millions of transient jobs while participating in on-call rotations for critical agent training and execution pipelines. WHAT WE'RE LOOKING FOR - 4+ years of experience in Systems Engineering, Distributed Systems, Cloud Infrastructure, or MLOps supporting LLM/RL workloads. - Data & Pipeline Engineering: Proven experience building high-throughput data processing and generation pipelines for large-scale datasets (e.g., Ray, Spark, custom distributed queues). - Deep experience with Kubernetes & Container Tech: Strong expertise writing custom K8s operators/controllers, managing Linux cgroups/namespaces, and optimizing Docker image layers and distribution systems. - High-Performance Software Engineering: Advanced proficiency in Python, Go, C++ or Rust, with a track record of profiling and optimizing high-performance ML or backend systems codebases. - Sandboxing & Isolation Technologies: Hands-on experience with lightweight virtualization, container runtimes, or WASM (e.g., Docker, gVisor, Firecracker). - Queueing & Scheduling: Deep familiarity with task queue systems, resource schedulers, and low-latency queuing architectures for high-volume, short-lived workloads. - Comfort with Ambiguity: Passion for working directly alongside AI researchers to rapidly turn frontier agent ideas into scalable, production-grade infrastructure. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Remote, Global ABOUT SUPABASE Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. ABOUT THE ROLE We're looking for a Senior Data Analyst, Marketing to join our Data Intelligence team and build the measurement foundation that tells us what's actually working across paid and PLG channels. You'll work closely with Marketing, Growth, and channel owners, helping us move past platform-reported metrics and vanity numbers into causal, trusted answers about what drives pipeline and revenue. This role is ideal for someone who thrives in async, fast-paced environments, is AI-forward in how they work, and is excited about building a measurement function from the ground up. WHAT YOU'LL BE RESPONSIBLE FOR Marketing Measurement Strategy - Own the end-to-end marketing measurement strategy across experimentation, media mix modeling, and attribution for paid and PLG channels - Establish and evolve the attribution framework: how platform data, multi-touch attribution, MMM, and experiments work together to inform decisions - Translate complex measurement outputs into clear recommendations on where to invest, what to cut, and how to hit pipeline, revenue, and efficiency targets (CAC, payback, LTV to CAC) - Serve as the subject matter expert for marketing measurement, educating stakeholders on causality, model uncertainty, and the limitations of platform-reported metrics Incrementality and Experimentation - Design and run always-on incrementality tests, user-level and geo-level, to quantify the causal impact of key channels, campaigns, and tactics - Calculate incremental lift, incrementality percent, and incremental ROAS/CPA, and use these to guide budget reallocation - Build repeatable analysis templates and playbooks for experiment design, analysis, and readouts so results are consistent across teams - Partner with channel owners (paid search, paid social, lifecycle, website/SEO) to build and prioritize a experimentation roadmap, embedding it into campaign planning, creative testing, and audience strategy Media Mix Modeling and Forecasting - Build and maintain media mix models using historical data to estimate channel contribution, marginal returns, and optimal budget allocation - Incorporate seasonality, adstock, and saturation effects, and continuously validate model performance through backtesting and reconciliation with experiment results - Turn MMM insights into budget scenarios and forecasts across channels and regions, communicated in a way non-technical stakeholders can act on Context, Tooling, and Data Integrity - Own and build the context and skills that let marketing teams run accurate self-serve analytics: metric definitions, model documentation, and reusable analysis patterns, not just dashboards - Use AI tools as a core part of daily work to accelerate analysis and go deeper than a traditional analyst workflow allows, and help establish AI-forward practices across the marketing org - Identify gaps and inconsistencies in marketing data (tracking, spend, platform exports) and work cross-functionally to fix them at the root rather than patching around them downstream You Might Be a Good Fit If You - Have 6+ years in marketing analytics, data science, or a related role, with a focus on performance marketing and/or PLG growth - Deeply understand marketing attribution, incrementality testing, and media mix modeling, and how they complement each other rather than compete - Are advanced in SQL and at least one statistical programming language (Python or R) for experiment analysis and modeling - Have hands-on experience designing, running, and interpreting experiments across digital marketing channels: search, social, display, email, in-product - Have built or worked closely with MMM and/or advanced attribution models, ideally in a consumption or BaaS environment - Have strong business acumen and fluency in growth metrics: CAC, LTV, payback period, conversion rates, funnel performance - Think in terms of self-service and scale: your instinct is to build tools and frameworks that make marketing teams independently capable, not to become the bottleneck for every "did this work" question - Can hold technical and strategic context at once: you're as comfortable in a model's residuals as you are in a conversation about budget tradeoffs - Are AI-forward in how you work: you use LLMs and AI tooling habitually and have a clear point of view on how it changes what an analyst can do - Communicate clearly to non-technical stakeholders and know how to make causal nuance land in a business conversation - Thrive in async, autonomous environments and are energized by building a measurement function from the ground up Nice to Haves - Experience in BaaS, DevRel or open source dev tool companies, connecting marketing spend to pipeline and revenue outcomes - Experience with applied econometrics, time-series modeling, or Bayesian methods for MMM and experimentation - Familiarity with common marketing and analytics tools (Google Ads, Meta, LinkedIn, web analytics, CDPs, BI/visualization tools) WHAT WE OFFER - Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. - ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together. - Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. - Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us. - Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year. - Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. - Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. ABOUT THE TEAM Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. - ~400 team members - 60+ countries - 20+ languages spoken - Over $1B raised (including our $500M Series F) - 540,000+ community members We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.

Location: Denver, Colorado, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. ​During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role We’re looking for a Senior Staff Systems Engineer, GTM, to help us evolve our Salesforce CRM to the next level to meet the needs of our rapidly scaling global business. You are a highly skilled Salesforce technology professional capable of working across all levels of the organization. You are adept at crafting, implementing, and evolving out-of-the-box and custom solutions that employ best practices for systems integration (API and IPaaS Solutions) across the SFDC ecosystem. You will work closely with our current Revenue Excellence team and our cross-functional stakeholders in Marketing, Finance, Sales, Analytics, Product, Customer Success, and Engineering to ensure we leverage Salesforce as the organization's source of truth. You’ll also be responsible for ensuring the technical excellence of your team and owned services, through design reviews, code reviews, and our approval process; contributing to architectural designs; and mentoring colleagues. This is a high-visibility role within the organization with an incredible opportunity to drive impact and value quickly. This is a full-time, hybrid position based in our Oakland, CA, or Denver, CO offices or remotely in the US. Technologies You’ll Use Salesforce CRM, CPQ, Apex, JavaScript, Lightning Web Components (LWC), SOQL, Salesforce APIs, Python, HTML, Git, consuming and invoking web services utilizing WCF, REST, XML, JSON. What You’ll Do Project Lead: Define and drive the critical projects and technical strategy for Salesforce CRM and related systems, ensuring alignment with overall business objectives. Lead the design and implementation of scalable and secure solutions that integrate seamlessly with other enterprise systems. Strategic Initiatives: Spearhead key strategic initiatives, such as process automation and data integration efforts, to enhance operational efficiency and business agility. Cross-Functional Collaboration: Work closely with key stakeholders and executives across the organization to identify and prioritize key projects, providing technical expertise and strategic insights. Team Leadership and Development: Mentor and develop a team of engineers, fostering a culture of innovation and continuous improvement. Lead by example, promoting best coding, design, and system architecture practices. Complex Problem Solving: Address high-impact, complex technical challenges, ensuring the reliability, performance, and scalability of Salesforce and its integrations. Governance and Compliance: Establish and enforce governance frameworks, ensuring compliance with industry standards, data privacy regulations, and internal policies. Thought Leadership: Contribute to the broader tech community by sharing best practices, participating in industry events, and publishing insights on Salesforce technology. Ownership and Accountability: Own the Salesforce ecosystem fully, driving enhancements and optimizations to meet evolving business needs. Act as the primary point of contact for high-stakes projects and critical system issues. Skills We’re Looking For Extensive Salesforce Expertise: 5+ years of experience in Salesforce development and architecture, including deep knowledge of Apex, Visualforce, Lightning Web Components (LWC), SOQL, and Salesforce APIs. Demonstrated ability to design and implement complex, scalable solutions within the Salesforce ecosystem. 2nd Generation Managed Package experience is a plus. Business Acumen and Cost Management: Strong understanding of business processes, particularly billing, revenue recognition, and order management. Ability to evaluate and compare alternative solutions based on cloud costs and performance implications, ensuring efficient and cost-effective technology investments. Skilled in communicating complex technical concepts to non-technical stakeholders and aligning technical initiatives with business objectives. Strategic Vision and Execution: Experience in setting and executing strategic technical visions, particularly in the context of complex Salesforce implementations and integrations. Ability to align technology initiatives with business goals and drive transformative projects. Leadership and Mentorship: Proven track record in leading and mentoring technical teams, with experience in upleveling engineers and fostering a culture of innovation, continuous learning, and technical excellence. Demonstrated ability to manage and lead geographically dispersed teams, effectively handling projects across time zones and cultural contexts. Skilled in ensuring effective communication and collaboration in a global team environment. Enterprise-Level Systems Integration: Expertise in integrating Salesforce with other enterprise systems, utilizing APIs, middleware, and IPaaS solutions. Experience with event-driven architectures and managing data flows across multiple platforms. Governance and Compliance: Demonstrated experience in establishing governance frameworks, ensuring compliance with industry standards, regulatory requirements (such as GDPR), data retention, and internal policies related to data security and privacy. Complex Problem Solving: Proven ability to tackle complex technical challenges, particularly related to performance optimization, scalability, and system resilience. Experience in designing solutions that address high-volume data processing and integration challenges. Advanced Certifications: Salesforce Developer I & II certifications are required; Salesforce System Architect and/or Salesforce CPQ Specialist Certification is highly preferred. Additional certifications, such as Salesforce Technical Architect or Application Architect, are a plus. Agile and DevOps Expertise: Agile and DevOps Expertise: In-depth understanding of Agile methodologies, with experience leading Agile teams. Proficiency in Salesforce DevOps practices, including CI/CD pipelines, version control (Git), and automated testing frameworks. Hands-on experience using AI coding assistants and LLM-based tools to accelerate development, testing, and documentation workflows. Autonomy and Adaptability : Comfortable operating independently with minimal oversight and adjusting quickly to shifting priorities, ambiguous requirements, and evolving project scope in a fast-moving environment. Communication and Presentation Skills: Exceptional written and verbal communication skills, with the ability to effectively present complex technical information to senior leadership and external stakeholders. Experience in technical writing and documentation. Quality and Standards Oversight: Experience establishing and enforcing coding standards, best practices, and quality assurance processes. Focus on writing meaningful and comprehensive tests, including unit tests, integration tests, and end-to-end tests, to ensure the robustness and reliability of software. Responsible for conducting thorough code reviews and maintaining high-quality standards across all deliverables. Ability to collaborate in a highly geographically dispersed team environment. Optional Bonus Skills Salesforce System Architect Certification Proven experience developing programmatic components to extend Salesforce Enterprise Territory Management functionality. #LI-DC2 #LI-Hybrid The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Denver Pay Range $191,761.50 — $239,701.75 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Oakland, California, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. ​ During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role We’re looking for a Senior Staff Systems Engineer, GTM, to help us evolve our Salesforce CRM to the next level to meet the needs of our rapidly scaling global business. You are a highly skilled Salesforce technology professional capable of working across all levels of the organization. You are adept at crafting, implementing, and evolving out-of-the-box and custom solutions that employ best practices for systems integration (API and IPaaS Solutions) across the SFDC ecosystem. You will work closely with our current Revenue Excellence team and our cross-functional stakeholders in Marketing, Finance, Sales, Analytics, Product, Customer Success, and Engineering to ensure we leverage Salesforce as the organization's source of truth. You’ll also be responsible for ensuring the technical excellence of your team and owned services, through design reviews, code reviews, and our approval process; contributing to architectural designs; and mentoring colleagues. This is a high-visibility role within the organization with an incredible opportunity to drive impact and value quickly. This is a full-time, hybrid position based in our Oakland, CA, or Denver, CO offices or remotely in the US. Technologies You’ll Use Salesforce CRM, CPQ, Apex, JavaScript, Lightning Web Components (LWC), SOQL, Salesforce APIs, Python, HTML, Git, consuming and invoking web services utilizing WCF, REST, XML, JSON. What You’ll Do Project Lead: Define and drive the critical projects and technical strategy for Salesforce CRM and related systems, ensuring alignment with overall business objectives. Lead the design and implementation of scalable and secure solutions that integrate seamlessly with other enterprise systems. Strategic Initiatives: Spearhead key strategic initiatives, such as process automation and data integration efforts, to enhance operational efficiency and business agility. Cross-Functional Collaboration: Work closely with key stakeholders and executives across the organization to identify and prioritize key projects, providing technical expertise and strategic insights. Team Leadership and Development: Mentor and develop a team of engineers, fostering a culture of innovation and continuous improvement. Lead by example, promoting best coding, design, and system architecture practices. Complex Problem Solving: Address high-impact, complex technical challenges, ensuring the reliability, performance, and scalability of Salesforce and its integrations. Governance and Compliance: Establish and enforce governance frameworks, ensuring compliance with industry standards, data privacy regulations, and internal policies. Thought Leadership: Contribute to the broader tech community by sharing best practices, participating in industry events, and publishing insights on Salesforce technology. Ownership and Accountability: Own the Salesforce ecosystem fully, driving enhancements and optimizations to meet evolving business needs. Act as the primary point of contact for high-stakes projects and critical system issues. Skills We’re Looking For Extensive Salesforce Expertise: 5+ years of experience in Salesforce development and architecture, including deep knowledge of Apex, Visualforce, Lightning Web Components (LWC), SOQL, and Salesforce APIs. Demonstrated ability to design and implement complex, scalable solutions within the Salesforce ecosystem. 2nd Generation Managed Package experience is a plus. Business Acumen and Cost Management: Strong understanding of business processes, particularly billing, revenue recognition, and order management. Ability to evaluate and compare alternative solutions based on cloud costs and performance implications, ensuring efficient and cost-effective technology investments. Skilled in communicating complex technical concepts to non-technical stakeholders and aligning technical initiatives with business objectives. Strategic Vision and Execution: Experience in setting and executing strategic technical visions, particularly in the context of complex Salesforce implementations and integrations. Ability to align technology initiatives with business goals and drive transformative projects. Leadership and Mentorship: Proven track record in leading and mentoring technical teams, with experience in upleveling engineers and fostering a culture of innovation, continuous learning, and technical excellence. Demonstrated ability to manage and lead geographically dispersed teams, effectively handling projects across time zones and cultural contexts. Skilled in ensuring effective communication and collaboration in a global team environment. Enterprise-Level Systems Integration: Expertise in integrating Salesforce with other enterprise systems, utilizing APIs, middleware, and IPaaS solutions. Experience with event-driven architectures and managing data flows across multiple platforms. Governance and Compliance: Demonstrated experience in establishing governance frameworks, ensuring compliance with industry standards, regulatory requirements (such as GDPR), data retention, and internal policies related to data security and privacy. Complex Problem Solving: Proven ability to tackle complex technical challenges, particularly related to performance optimization, scalability, and system resilience. Experience in designing solutions that address high-volume data processing and integration challenges. Advanced Certifications: Salesforce Developer I & II certifications are required; Salesforce System Architect and/or Salesforce CPQ Specialist Certification is highly preferred. Additional certifications, such as Salesforce Technical Architect or Application Architect, are a plus. Agile and DevOps Expertise: Agile and DevOps Expertise: In-depth understanding of Agile methodologies, with experience leading Agile teams. Proficiency in Salesforce DevOps practices, including CI/CD pipelines, version control (Git), and automated testing frameworks. Hands-on experience using AI coding assistants and LLM-based tools to accelerate development, testing, and documentation workflows. Autonomy and Adaptability : Comfortable operating independently with minimal oversight and adjusting quickly to shifting priorities, ambiguous requirements, and evolving project scope in a fast-moving environment. Communication and Presentation Skills: Exceptional written and verbal communication skills, with the ability to effectively present complex technical information to senior leadership and external stakeholders. Experience in technical writing and documentation. Quality and Standards Oversight: Experience establishing and enforcing coding standards, best practices, and quality assurance processes. Focus on writing meaningful and comprehensive tests, including unit tests, integration tests, and end-to-end tests, to ensure the robustness and reliability of software. Responsible for conducting thorough code reviews and maintaining high-quality standards across all deliverables. Ability to collaborate in a highly geographically dispersed team environment. Optional Bonus Skills Salesforce System Architect Certification Proven experience developing programmatic components to extend Salesforce Enterprise Territory Management functionality. #LI-DC2 #LI-Hybrid The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Oakland Pay Range $202,787 — $253,483.50 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: United States; Canada Workplace: Remote At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 We're looking for a Staff Analyst, GTM Revenue to help our go-to-market leaders make sharper, faster decisions across revenue-critical motions. In this role, you'll partner across Sales, Customer Success, and adjacent customer-facing teams to turn complex data into practical insight, improve how teams operate, and identify where AI and automation can create real leverage.   This is a high-impact opportunity for an analytically rigorous operator who can move comfortably between deep analysis, business partnership, and hands-on execution. You'll help leaders understand what's working, where friction is slowing growth, and how to translate data into better decisions around pipeline, segmentation, productivity, retention, and overall GTM performance.   Mission Drive clearer, faster, and more scalable GTM decision-making by turning data into actionable insight, operational improvements, and AI-enabled workflows that improve revenue performance and customer outcomes.   The Role - Partner with GTM leaders to frame business questions, prioritize high-impact analyses, and translate findings into practical recommendations. - Build and maintain dashboards, reporting layers, and analytical workflows that give stakeholders clear visibility into performance across Sales, Customer Success, and related customer-facing motions. - Analyze pipeline health, segmentation, conversion, retention, and productivity trends to identify opportunities for growth, efficiency, and better resource allocation. - Develop forecasting, scenario-planning, and decision-support models that help leaders understand performance drivers and act with confidence. - Use SQL, Python, and modern analytics tooling to extract, shape, and analyze large datasets from multiple systems. - Identify repetitive or manual workflows that can be improved through automation or AI-assisted analysis, and help bring those solutions into day-to-day GTM operations. - Collaborate cross-functionally with partners in Finance, Operations, Systems, and customer-facing teams to ensure data definitions, reporting logic, and recommendations are aligned to business needs. - Present insights in a concise, executive-ready way, tailoring the level of detail to both technical and non-technical audiences.   Qualifications - 5+ years of experience in analytics, strategy & operations, revenue operations, business intelligence, or a similar role supporting go-to-market teams. - Advanced proficiency in SQL and Python, with strong judgment around how to use each for analysis, automation, and scalable reporting. - Strong experience building dashboards, analytical models, and KPI frameworks that influence business decisions. - Demonstrated success supporting Sales, Customer Success, Revenue Operations, or comparable GTM functions in a SaaS or other fast-moving technology environment. - Strong business acumen with the ability to connect data trends to customer, commercial, and operational outcomes. - Excellent communication skills, including the ability to simplify complex analysis and influence cross-functional stakeholders. - Proven ability to work independently in ambiguous environments, manage multiple priorities, and deliver high-quality work with speed and reliability.   Desirable - Experience applying AI or machine learning to business problems such as segmentation, prioritization, forecasting support, or workflow automation. - Familiarity with modern BI and visualization tools such as Looker, Tableau, or similar platforms. - Experience working in a high-growth, multi-motion SaaS business where GTM teams need both strategic insight and operational rigor. - Comfort partnering with senior leaders on ambiguous questions that require both analytical depth and strong business judgment. Equal Opportunity Employer ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin. Privacy Notice ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. https://clickup.com/careers-terms/candidate-privacy-notice If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice https://t333.s.clickup-attachments-stg.com/t333/d9a53ce2-6d2c-48cd-84b1-ed4e525f9613/Philippine%20Data%20Privacy%20Notice_2024.pdf?view=open for further details. Visa Sponsorship Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions. Fraud Alert ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com. AI Processing Notice ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.

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.

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

Location: São Paulo Workplace: Hybrid adjoe https://adjoe.io/ is redefining the future of mobile ads. Powered by advanced AI, first-party data and world-class engineers, we’ve perfected the offerwall experience for monetizing and scaling app publishers with solutions like Playtime and Arcade – now the fastest growing rewarded advertising channel globally – driving incremental engagement, retention, and revenue. At the same time, we’re breaking into programmatic advertising with the intelligent bidding system of adjoe Ads. Together, this ecosystem connects app developers to over 600 million users worldwide for scalable growth. Backed by a $100 million investment from Bertelsmann and operating from offices in Hamburg, Boston, Singapore, and Tokyo, adjoe is defining the next stages of app and ad experience – right now. Join us.   We are seeking a Senior Solution Architect to support the product and technical dimension of adjoe’s most critical enterprise relationships. Acting as the "Technical Lead" for our top-tier partners, you will merge complex partner roadmaps with our modern stack – powered by Golang and Native SDKs – to drive technical excellence for over 100 million daily users. Your mandate is to bridge the gap between our technology team in Germany and the partner’s vision. You will collaborate with senior product and engineering counterparts, acting as a point of contact for all technical discourse. This is a role of deep technical empowerment: You have direct access to our entire cloud infrastructure – from real-time monitoring and logging to our extensive data lakes – to maintain a comprehensive, full-picture view of the system state. From investigating complex architectural issues to supporting the rollout of new, high-impact features, you ensure our stacks evolve in perfect sync. Working as a key collaborator with our internal Product and Tech departments, you will act as the technical gatekeeper and advocate for our largest enterprise accounts. What You Will Do: - Technical Strategy & Execution: Act as the primary consultant for enterprise partners, architecting the technical path to success. You will play a key role in guiding the co-creation of new products in partnership with our Germany based tech team, validating and optimizing technical solutions directly with our top partners to ensure they are battle-tested before reaching full-scale production. - Orchestrate the Joint Technical Roadmap: Support the technical lifecycle of the partnership, leading complex feature rollouts and managing integration timelines. - Root-Cause Architecture & Proactive Mitigation: Put on your "detective hat" to lead high-stakes troubleshooting by going beyond the surface of mobile app code to conduct deep-dive root-cause analysis, proactively identifying and solving integration blockers before they impact the partner’s revenue. - Data-Driven Consultancy: Leverage SQL and Python (or others) to aggregate and visualize complex datasets, translating raw data into technical narratives that help partners reach their KPIs. - Voice of the Customer: Translate partner feedback into precise technical requirements for internal Product teams to unlock global scalability. - Enterprise Account Ownership: Serve as the dedicated technical point of contact for key enterprise accounts, owning relationships with senior stakeholders across product, engineering, and leadership. You will support executive-level technical discussions, manage escalations, and proactively drive account health. Who You Are: - 5+ years of experience in a technical-client-facing role in AdTech, Big Tech, or SaaS (TAM, Sales Engineering, or Solutions Architecture), with some exposure to the mobile ecosystem. - Must have: Professional fluency in English, Portuguese and Spanish. - Proven enterprise account experience: You have directly managed key enterprise accounts, navigating complex stakeholder environments and acting as a trusted technical advisor to senior client contacts. - The Tech-Architect: Expert at translating high-level requirements into specifications. You are equally comfortable discussing SDK initialization and REST endpoint latency with a Senior Product Owner as you are debugging HTML/JavaScript. - Analytical Powerhouse: Proficient in SQL and data visualization. You have extensive experience using analytics dashboards such as Grafana, Tableau, QuickSight, or Kibana to find the "why" behind the numbers and drive strategic technical decisions. - Mobile & App Native: (Huge Plus) Familiarity with Java or experience building/supporting mobile apps with a "sixth sense" for debugging SDK integration issues. - Cross-Functional Catalyst: A natural collaborator who can navigate internal Engineering & Product teams to find solutions in high-pressure environments. - Nice to have: Experience with Software Development. Fuel for the Journey: Benefits to Support Your Ambitions: - Health & Dental Insurance: Comprehensive healthcare coverage provided through Care Plus (SOHO30 and ODONT20 plans). - Life Insurance: Company-provided life and disability insurance coverage to support you and your family. - Meal / Food Allowance: Monthly flexible allowance that can be used at restaurants, supermarkets, delivery services, and more. - Transportation Allowance: Monthly support to help cover commuting costs. - Wellhub (Gympass): Access to the Wellhub platform with exclusive corporate discounts on gyms and wellness services. - Employee Assistance Program (EAP): SupportLinc is available at no cost to you and your family, offering confidential support and resources to promote well-being and work-life balance. We welcome applications from people who will contribute to the diversity of our company.

Location: Raanana, Center District, Israel Workplace: on-site At TechBiz Global, we provide recruitment services to top clients from our portfolio. We are currently looking for a Data Analyst to join one of our client’s team. We are looking for a brilliant Data Analyst who wants to do real research . This is a brand-new role in a growing team, meaning you will have a direct impact on how our data models evolve. In this role, you won't build dashboards. You will work hands-on with complex datasets to design, test, and iterate on advanced logic flows. You’ll be responsible for identifying key behaviors and events, continuously improving data quality, and turning raw data into high-value strategic conclusions. Requirements: 3–5 years of proven experience as a Data Analyst. Strong proficiency in SQL Server . Solid programming hands-on experience in Python or R . Strong statistical background. Advantage: A genuine passion for sports (Soccer, Basketball, etc.)

Задачи: — Проектировать, строить и оптимизировать крупномасштабные ETL, стриминговые и пакетные конвейеры обработки данных. — Реализовывать и поддерживать высокопроизводительные/низколатентные хранилища данных (например, для рекомендаций в реальном времени). — Внедрять и улучшать механизмы управления данными для обеспечения качества и надежности данных. — Ускорять инновации, создавая и улучшая инфраструктуру машинного обучения, включая фреймворки для обучения, оценки и экспериментов. — Сотрудничать с менеджерами продуктов, дата-сайентистами, инженерами и аналитиками для создания положительного влияния на клиентов. — Помогать определять цели команды. — Постоянно улучшать самоорганизацию команды. Требования: — Опыт применения принципов инженерии программного обеспечения к системам управления данными. — Умение строить надежную, масштабируемую инфраструктуру данных с использованием качественного кода, а не только SQL. — Опыт не менее 3 лет в проектах по инженерии данных. — Хорошее понимание распределенных механизмов обработки данных. — Умение диагностировать и оптимизировать медленные конвейеры данных. — Опыт работы с крупномасштабной пакетной и/или потоковой обработкой (например, Spark, Hadoop, Flink, Storm, Apache Beam, Kafka). — Владение Python или Java. — Глубокое понимание распределенных баз данных, особенно высокопроизводительных/низколатентных хранилищ данных (например, DynamoDB, Cassandra, Redis). Условия: — Программа акций для сотрудников. — Скидки 40% на товары моды и красоты Zalando, 30% на Zalando Lounge, скидки у внешних партнеров. — 2 оплачиваемых дня волонтерства в год. — Гибридный режим работы с возможностью до 60% удаленной работы в неделю. — Возможность работать из-за рубежа до 30 рабочих дней в году. — 27 дней отпуска в год с начала работы. — Помощь с релокацией (по предварительной договоренности). — Семейные услуги, включая консультации и поддержку. — Опции для здоровья и благополучия (включая Gympass). — Поддержка психического здоровья и коучинг. — Возможности развития через обучающую платформу и двухразовые отзывы от коллег.

Задачи: — Проектировать, строить и оптимизировать крупномасштабные ETL, стриминговые и пакетные конвейеры обработки данных. — Реализовывать и поддерживать высокопроизводительные/низколатентные хранилища данных (например, для рекомендаций в реальном времени). — Внедрять и улучшать механизмы управления данными для обеспечения качества и надежности данных. — Ускорять инновации, создавая и улучшая инфраструктуру машинного обучения, включая фреймворки для обучения, оценки и экспериментов. — Сотрудничать с менеджерами продуктов, дата-сайентистами, инженерами и аналитиками для создания положительного влияния на клиентов. — Помогать определять цели команды. — Постоянно улучшать самоорганизацию команды. Требования: — Опыт применения принципов инженерии программного обеспечения к системам управления данными. — Умение строить надежную, масштабируемую инфраструктуру данных с использованием качественного кода, а не только SQL. — Опыт не менее 3 лет в проектах по инженерии данных. — Хорошее понимание распределенных механизмов обработки данных. — Умение диагностировать и оптимизировать медленные конвейеры данных. — Опыт работы с крупномасштабной пакетной и/или потоковой обработкой (например, Spark, Hadoop, Flink, Storm, Apache Beam, Kafka). — Владение Python или Java. — Глубокое понимание распределенных баз данных, особенно высокопроизводительных/низколатентных хранилищ данных (например, DynamoDB, Cassandra, Redis). Условия: — Программа акций для сотрудников. — Скидки 40% на товары моды и красоты Zalando, 30% на Zalando Lounge, скидки у внешних партнеров. — 2 оплачиваемых дня волонтерства в год. — Гибридный режим работы с возможностью до 60% удаленной работы в неделю. — Возможность работать из-за рубежа до 30 рабочих дней в году. — 27 дней отпуска в год с начала работы. — Помощь с релокацией (по предварительной договоренности). — Семейные услуги, включая консультации и поддержку. — Опции для здоровья и благополучия (включая Gympass). — Поддержка психического здоровья и коучинг. — Возможности развития через обучающую платформу и двухразовые отзывы от коллег.

Задачи: — Владение продуктовыми функциями от начала до конца, включая фронтенд, бэкенд и AI-системы. — Создание пользовательских интерфейсов, которые помогают кандидатам находить возможности и позволяют стартапам нанимать талантливых специалистов. — Проектирование и разработка масштабируемых API, бэкенд-сервисов и рабочих процессов, обеспечивающих работу основной платформы. — Разработка AI-агентов и автоматизированных решений для поиска, отбора, сопоставления кандидатов и операций по найму. — Интеграция сторонних платформ, внешних сервисов и поставщиков данных. — Сотрудничество с основателями компании для преобразования отзывов клиентов в реализованные функции продукта. Требования: — Степень бакалавра или магистра в области компьютерных наук, программной инженерии или смежных областях (новые и будущие выпускники приветствуются). — Прочные знания в области компьютерных наук, включая структуры данных, алгоритмы, отладку и принципы разработки ПО. — Опыт создания современных веб-приложений как на фронтенде, так и на бэкенде. — Знание JavaScript/TypeScript, React, Python, разработки API, баз данных и облачной инфраструктуры. — Опыт создания реальных продуктов через стартапы, личные проекты, исследования, вклад в open-source или продукты с активными пользователями. Условия: — Удалённая работа или работа в Сан-Франциско, Калифорния. — Полная занятость. — Возможность спонсорства виз OPT и H-1B.

Location: Hong Kong, Hong Kong SAR; Singapore, Singapore Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity As a Staff Engineer, y ou'll own the build-out of our security engineering and DevSecOps capabilities: designing and developing the security products, platform services, and SDKs/Agents that embed protection directly into how code is written, built, shipped, and run. This is a role for someone with real depth in security, broad coverage across the stack, and the engineering muscle to ship. Just as important is the ability to drive adoption — security that lands in complex, fast-moving business environments rather than sitting in a policy document. What You’ll Be Doing Architect and build our end-to-end DevSecOps platform and the SDKs/Agents behind our security products, covering code, build, artifacts, images, deployment, and runtime. Lead runtime protection through RASP and Java Agent — bytecode instrumentation, runtime hooking, and detection/interception engines using ASM, ByteBuddy, and Instrumentation, with continuous tuning for performance, stability, and compatibility. Integrate and productise scanning capabilities across SAST, DAST, IAST, SCA, code scanning, and image scanning. You'll embed tools like SonarQube and Coverity deep into CI/CD and close the loop from detection through blocking, remediation, and re-test. Go deep on application security offence and defence — designing detection, remediation, hardening, and counter-measures for XSS, SQL injection, SSRF, deserialisation, command execution, authentication/authorisation flaws, and API security. Bring AI-native security engineering to life. Apply LLMs and AI Agents to vulnerability analysis, rule generation, false-positive attribution, remediation guidance, security knowledge capture, and engineering automation — and build a coherent view of the architecture, mechanics, and security implications. Embed as the security technical expert inside engineering teams, driving security standards, onboarding specifications, release gates, risk tiering, and remediation mechanisms that measurably lift the security baseline and delivery quality. Partner across engineering, architecture, SRE, QA, and business teams on priority projects, solving the genuinely hard security problems and turning the solutions into reusable platform capability and repeatable practice. What We Look For In You Strong computer science and security fundamentals — deep understanding of operating systems, networking, compilers and the JVM, distributed systems, application security, cloud-native security, and supply chain security. Both breadth and depth. Expert-level Java, with hands-on depth in the JVM, ClassLoader, Java Agent, ASM, ByteBuddy, bytecode instrumentation, and performance profiling and tuning. Plus working proficiency in Python or Go. Substantial production experience with RASP, SAST, DAST, IAST, SCA, image security, and code scanning — enough to design a capability, integrate the engine, build the platform around it, and take it to scale independently. Real offensive and defensive experience. You understand the root causes, exploitation paths, detection logic, bypass techniques, and fixes for common web, API, and microservices vulnerabilities — and can design from both the attacker's and defender's point of view. Fluency with LLMs and AI Agents, including a considered view on model capability limits, agent architecture, tool calling, context engineering, evaluation methods, and how AI is reshaping both security engineering and the attack surface. Strong engineering execution paired with product instinct — able to lead the design and delivery of security products, platform modules, and SDKs/Agents while balancing security outcomes against performance overhead, integration cost, and long-term operability. Exceptional ownership, cross-team communication, and the persistence to move security governance, rule enforcement, and remediation through to a clear result. Nice to Haves Security engineering experience at a top-tier internet company, cloud provider, or leading security vendor You've led the build of a DevSecOps platform, application security platform, RASP, code scanning platform, or cloud-native security platform Background in security product development, SDK/Agent engineering, vulnerability research, red team exercises, or purple team work Shipped AI + Security work — security copilots, intelligent rule generation, automated analysis, or remediation recommendation systems Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Moldova OUR HIRING PROCESS: We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. We do not think machines can evaluate your application quite like our seasoned recruiting professionals—every person is unique. We promise to give your candidacy a fair and detailed assessment. We may then invite you to submit a video interview for the review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good fit for the team. At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc. and we never hire anyone into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSE team. From there on, it’s decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live. INFUSE is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy We’re looking for a Full Stack Developer to drive end-to-end solution delivery within our PMO department — leading a cross-functional team, shaping architecture, and ensuring high-quality, on-time releases. As part of our dynamic team, your responsibilities in this role will include: Drive the full product lifecycle – from rapid MVP scoping through maintainable production release Build responsive, well-crafted frontend components using modern frameworks Design and develop robust, scalable backend APIs and databases built for long-term maintainability Integrate and manage third-party APIs, ensuring seamless, reliable data flow Analyze data and build efficient data pipelines (strongly preferred) Collaborate with cross-functional teams to translate business requirements into clean technical solutions. Our ideal candidate possesses the following skills: Mid-level+ hands-on experience with modern frontend frameworks ( React and/or Vue ) Strong backend development skills, including API design and database management ( PostgreSQL and/or MongoDB; Redis; S3 ) Strong command of Python and Node.js ; experience building REST and/or GraphQL APIs Proficiency with AWS and Git ; comfortable working with CI/CD pipelines Daily, practical use of AI coding assistants ( Claude, Cursor, GitHub Copilot , or similar); understanding of strengths/limitations across tools Architecture-focused mindset: scalable systems, clean integration points, long-term maintainability Startup mindset: comfortable with ambiguity, fast iteration, and wearing multiple hats Experience with data/web scraping, MarTech, or SalesTech (highly desirable) Proficiency in Ukrainian and/or Russian language English proficiency at B2 level or higher . Nice to have: Data analysis and data pipeline experience. What we offer: Opportunity to shape the backbone systems of a modern, data-driven digital company A collaborative, innovation-first environment that values initiative and experimentation Reduced working hours on Fridays during the summer Schedule: Monday–Friday, 1 PM – 9 PM EET (including 1 hour break). Why join us? You’ll be at the intersection of technology, process innovation, and business growth - building systems that empower our teams to work smarter, faster, and more collaboratively. If you’re a strategic thinker who loves turning complexity into clarity and ideas into scalable solutions, we’d love to meet you. Hiring process: Interview with Recruiter Technical Interview Interview with Hiring Manager Offer. If you meet these criteria and are excited about contributing to our team, we encourage you to apply.