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Location: San Francisco, California WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE: Notion's mission is to make toolmaking ubiquitous—from wikis and documents to notes, tasks, and databases. Strong product intuition and user focus have driven adoption across organizations of all sizes. Millions of users now rely on Notion's building blocks to get work done. As Notion scales, there's a unique opportunity to build the data foundations that help our product and company reach their full potential. You'll design and build reliable, trusted datasets that accelerate decision-making across product and business functions, directly impacting our roadmap and growth. This role is based in our San Francisco Headquarters. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. WHAT YOU'LL ACHIEVE: - Define ETL processes and infrastructure to make data readily available across the company - Build core datasets as single sources of truth for product and business teams (product, marketing, sales, finance, customer experience, data science, operations, IT, engineering) - Partner with data scientists and stakeholders to understand their needs and design, build, and monitor pipelines that scale with our growing data - Implement automated workflows that reduce operational costs, define SLAs for timely data delivery, and democratize data through self-serve dashboards, discovery tools, and AI-enabled exploration SKILLS YOU'LL NEED TO BRING: - Self-starter who gathers high-impact needs from business partners, designs technical solutions, and communicates clearly about deliverables, timelines, and tradeoffs - 5+ years of experience as a data engineer building core datasets and supporting business functions, with a passion for analytics, data modeling, and solving complex problems - Strong understanding of scalable cloud data solutions (AWS, GCP, Azure) across multiple data stores (Snowflake, Redshift, Hive, SQL/NoSQL, columnar formats) and methodologies (dimensional modeling, data marts, schemas) - SQL expert, proficient with aggregation, window functions, UDFs, self-joins, and optimization techniques for writing correct, high-performance queries - Highly comfortable with object-oriented programming (Python, Java, Scala) - Expert at using AI and agent-based tools to accelerate data development for yourself and others, including defining guardrails, workflows, and context for safe, production-scale data work NICE TO HAVES: - Experience at a fast-scaling or SaaS company, with enthusiasm to contribute in such an environment (current Notion users especially welcome) - Hands-on experience designing and building highly scalable, reliable data pipelines using BigData stack tools (e.g., Airflow, DBT, Spark, Hive, Parquet/ORC, Protobuf/Thrift) Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Notion. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation made due to a disability, please let your recruiter know. Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco, the estimated base salary range for this role is $179,000 - $200,000 per year. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21 #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: Lisbon Workplace: onsite About Spin.AI Spin.AI is a SaaS security company headquartered in Palo Alto, CA, protecting organizations against SaaS ransomware, data loss, data leaks, risky third-party apps, and compliance gaps across their mission-critical SaaS applications. SpinOne is an all-in-one SaaS security platform that brings together backup and disaster recovery, ransomware detection and response, data loss prevention (DLP), and SaaS security posture management (SSPM) for Google Workspace, Microsoft 365, Salesforce, and Slack. With the acquisitions of Revyz (backup and recovery for Atlassian Jira and Confluence) and DoControl (SaaS data loss prevention), Spin.AI continues to expand its coverage of the SaaS stack. More than 1,500 organizations worldwide trust Spin.AI to protect their data. Learn more here . Position Summary: We are looking for an experienced, technically strong, customer-obsessed Customer Support Engineer to support our European customers. You will be the first technical point of contact for IT administrators, security teams, and MSP partners, helping them get the most out of the Spin.AI platform—from onboarding and configuration to troubleshooting backups, restores, security alerts, and integrations. This is a hands-on role for someone who enjoys solving complex problems, explaining technical concepts clearly, and building trust with customers. You will work closely with our Engineering, Product, Customer Success, and Sales teams, and your feedback will directly shape the product and our knowledge base. This role is based in our Lisbon, Portugal office. You will work from the office during the week, and weekend work is done remotely. Hours follow European business hours, with some overlap with our US-based teams. What You Will Do: Provide technical support to customers and partners via email, chat, and video calls, meeting response and resolution SLAs. Research, diagnose, and resolve issues across Spin.AI products, including backup and restore, ransomware protection, DLP, SSPM/app risk assessment. Troubleshoot integrations with Google Workspace, Microsoft 365, Salesforce, Slack, including admin consoles, OAuth/API permissions, and service accounts. Guide new customers through onboarding, setup, and best-practice configuration. Reproduce issues, gather logs and evidence, and escalate to Engineering with clear, well-documented tickets; follow through until resolution. Manage and document cases accurately in our ticketing system (Jira Service Management), ensuring proper recording and closure of all issues. Write and maintain knowledge base articles, FAQs, and internal tech notes. Act as the voice of the customer—share recurring issues, feature requests, and product feedback with Product and Engineering. Partner with Customer Success and Account Management on adoption, renewals, and at-risk accounts, and flag expansion opportunities you spot in customer conversations. Prepare timely reports on support trends and contribute ideas to improve support processes and tooling, including AI-assisted support. What You Bring: 4+ years of experience in technical support, IT support, or a customer-facing engineering role, ideally at a B2B SaaS company, with a track record of owning complex technical escalations from start to finish. Hands-on administration experience with Google Workspace and/or Microsoft 365 (Entra ID, Exchange Online, SharePoint, OneDrive, Teams). Working understanding of SaaS and cloud concepts such as APIs, OAuth, SSO/SAML, user and permission models, and data retention. Strong troubleshooting and problem-solving skills, with the ability to work through ambiguous issues methodically. Excellent written and spoken English (C1 or higher) and the ability to explain technical topics to both technical and non-technical audiences. Excellent client-facing skills, empathy, and a sense of ownership for the customer outcome. Self-motivated and organized, able to work independently, both in the office and remotely on weekends, and prioritize multiple issues in a fast-paced setting. Curiosity and willingness to learn the platform deeply in order to deliver fast, effective support. Based in Lisbon, Portugal, or willing to relocate, and eligible to work in Portugal. Nice to Have: Experience with Salesforce, Slack, or Jira. Background in cybersecurity, data protection, backup/recovery, or DLP. Certifications such as Google Workspace Administrator or Microsoft 365 Administrator. Scripting or technical tooling skills (e.g., PowerShell, Python, REST API tools like Postman). Experience with Jira Service Management, Planhat, or similar support and CS tools. Additional European languages (e.g., German, French, Spanish, Italian). Experience supporting MSPs or channel partners Room to Grow: We invest in our people and want this role to be a launchpad. Depending on your strengths and interests, there is a clear path to grow into: Customer Success Manager (CSM): own a portfolio of customer relationships, drive adoption and retention, run business reviews, and work on renewals and expansions. Solutions Engineer (SE): partner with our Sales team on new business—running technical discovery, product demos, proofs of concept, and answering security questionnaires and RFPs. Your deep product knowledge and customer experience from support give you a strong foundation for either path. Benefits: A dream team of highly motivated and talented people, with ambitious goals and challenges that require strong analytical and communication skills. Competitive base salary + bonuses. Office in Lisbon, Portugal, with remote work on weekends. Medical insurance. Clear career growth paths into Customer Success or Solutions Engineering. Conferences, training, certifications, and other professional development opportunities. Team-building events. Employee Wellness Program Unlimited PTO Why Spin.AI? Inc. 5000 list for 2026! 🚀 Overall Ranking: #3,309 Industry Ranking: #107 Metro Ranking: #114 State Ranking: #463 Forbes Named Spin.AI One of America's Best Startup Employers THREE Years in a Row (2024- 2026) Work in a fast-moving, high-impact cybersecurity company recognized by Gartner, Forrester, and G2 . Collaborative, transparent culture – your ideas and experiments matter. Direct impact: your work translates into real business growth and visibility. Growth opportunities and performance-based rewards.

Location: Москва Workplace: В офисе О компании Сейчас в центр пакетного ядра в команду мобильной передачи данных ищем эксперта с широким опытом работы в коре, чтобы интерпретировать и реализовывать данные для CEM. Обязанности контролировать полноту, корректность и своевременность данных от сетевых элементов (MME/SGSN, SGW/PGW, PCRF/PCF, PCEF/DPI, CGNAT, IMS, HSS/UDM, DNS) в CEM; анализировать расхождения и аномалии в данных, выявлять причины и координировать их устранение совместно с владельцами систем и вендорами; разрабатывать и актуализировать методики расчета Core-KQI/KPI на абонентском и сессионном уровнях; проверять корректность метрик и сопоставлять результаты с PM-счетчиками и данными сетевых элементов; анализировать причины ухудшения качества услуг на основе абонентских сессий и сетевых событий; локализовать проблемы и определять зоны ответственности между доменами Radio, Core, Transport, сервисными платформами и абонентскими устройствами; оценивать влияние изменений сетевой инфраструктуры, обновлений ПО, внедрения новых сетевых элементов и вендорских решений на данные и метрики CEM; формировать и согласовывать требования к составу, качеству и формату данных, поступающих в CEM; участвовать в разработке и внедрении новых сценариев использования CEM: клиентские KPI, выявление аномалий, анализ блокировок, мониторинг качества сервисов и Personal QoS; пилотировать новые функции, проверять результаты и оценивать их применимость в промышленной эксплуатации. Требования знание архитектуры мобильных сетей EPC, IMS, 5G NSA/SA, назначения и принципов взаимодействия основных сетевых элементов; понимание протоколов GTP, Diameter, SIP и их применения в сигнальных и пользовательских процедурах; понимание принципов работы и взаимодействия основных сетевых элементов и функций Packet Core и IMS (SGSN/MME, GGSN/SGW/PGW, AMF/SMF/UPF, HSS/UDM, PCRF/PCF, OCS/CHF, PCEF/DPI, CGNAT, DNS), включая особенности формирования событий, статистики и диагностических данных; опыт работы с xDR/CDR, PM-счётчиками и другими источниками сетевых данных; понимание принципов формирования и расчёта сетевых KPI/KQI, оценки качества услуг на уровне абонента и сессии; уверенное владение SQL и Python для обработки, анализа и проверки корректности данных; практический опыт диагностики сетевых проблем (troubleshooting), анализа сигнализации и определения зон ответственности между сетевыми доменами; опыт взаимодействия со смежными техническими подразделениями и вендорами при расследовании проблем и внедрении изменений; желателен опыт работы с оборудованием нескольких вендоров и системами мониторинга качества услуг (CEM/SQM). Условия ДМС с первого месяца работы, включая стоматологию. А еще оплачиваем 50% стоимости полиса ДМС для родственников; страхование от несчастных случаев с 1 месяца работы. Материальная помощь в сложных жизненных ситуациях; прием врачей общей практики и массаж в офисе. Консультация психологов и программа поддержки сотрудников; отпуск 28 календарных дней + 3 дня за ненормированный рабочий день; компенсация расходов на выбор сотрудника, например, на спорт или питание. Специальные предложения от партнеров и скидки от продуктов экосистемы МТС; мобильная связь за счет компании и льготные тарифы для близких; единая подписка МТС Premium — KION Lite в онлайн-кинотеатре KION, сервисы МТС Музыка и Строки; собственный корпоративный университет, онлайн-библиотека и оплачиваемое внешнее обучение для карьерного развития.

Location: Москва Workplace: Комбинированный Мы строим единую в VK платформу данных, где центральная команда DWH выступает провайдером надёжной инфраструктуры, удобных инструментов и стандартов. За сами данные, бизнес-логику и ETL-пайплайны непосредственно отвечают бизнес-юниты. В нашей команде уже есть выделенный Продукт DWH, который развивает Дата-каталог и внутренний фреймворк OneETL. Мы ищем Data Governance Lead, который возглавит методологическую и организационную часть управления данными. Ваша цель — сделать так, чтобы в условиях децентрализованного управления данные компании оставались прозрачными, чистыми, безопасными и приносили максимальную ценность бизнесу, а юнитам было удобно и выгодно соблюдать правила игры. Задачи Разработка стандартов и методологии: Разработка и внедрение единой «конституции данных» (политики, регламенты, стандарты моделирования и документирования), обязательной для всех бизнес-юнитов Классификация данных по уровням критичности (Tier-1, Tier-2) и формирование SLA по качеству данных для каждого уровня Классификация данных на наличие Персональной информации, разметка на необходимость данных для аудиторов Развитие федеративного управления и аудит: Разработка и внедрение системы метрик «здоровья данных» ( Data Health Dashboard ): мониторинг процента описанных таблиц, покрытия DQ-тестами и критичных инцидентов в разрезе юнитов Проведение регулярных аудитов зрелости управления данными в юнитах, подсвечивание «слепых зон» и помощь командам в их устранении Верхнеуровневый контроль кросс-доменных изменений, чтобы минимизировать риски нарушения связей (Data Lineage) между юнитами Проектирование требований к контенту DG-инструментов Выступление в роли главного бизнес-заказчика для Продакта DWH на доработку Дата-каталога и фреймворка OneETL (формирование требований к метаданным, логике сквозного Data Lineage, ролевым моделям доступа) Формирование требований к библиотекам и шаблонам проверок качества данных (Data Quality Framework), которые Продакт DWH внедряет в OneETL Менторство юнитов и построение дата-комьюнити: Формирование и координация распределённой сети Data Stewards (стюардов данных) на стороне бизнес-юнитов: обучение, онбординг, фасилитация регулярных встреч и синхронизаций Популяризация культуры бережного отношения к данным (Data Literacy) в компании: проведение воркшопов, митапов, написание понятных гайдов и инструкций для аналитиков и инженеров юнитов Управление командой из трёх-четырёх дата-аналитиков Требования Опыт работы: от 3–5 лет в сфере Data Governance, Data Management или системного/дата-анализа в технологических компаниях с крупным DWH Понимание современных дата-архитектур: вы чётко понимаете разницу между Data Lake, классическим DWH и концепцией Data Mesh. Знаете, как устроены современные ETL/ELT процессы (идеально, если знакомы со стеком на базе dbt, Airflow/Dagster) Опыт работы с DG-инструментами: понимание принципов работы современных Data Catalog систем (например, DataHub, OpenMetadata, Alation, Collibra) и фреймворков качества данных (Great Expectations, Soda и так далее) Продуктовое мышление: вы умеете подходить к регламентам не с точки зрения «написать 100-страничный документ в Word», а с точки зрения удобства для конечного пользователя (инженера или аналитика юнита) Сильные навыки дипломатии (Soft Skills): умение договариваться, аргументированно отстаивать позицию перед лидерами бизнес-юнитов, продавать ценность порядка командам, у которых «горит» коммерческий бэклог Будет плюсом Опыт написания SQL-запросов и понимание Python на уровне, достаточном для того, чтобы разговаривать с инженерами юнитов на одном языке Успешный опыт внедрения Data Governance с нуля

Location: Afton, Texas Who We Are: Galaxy Digital Inc. (Nasdaq: GLXY) is a global leader in digital assets and data center infrastructure, growing the economy that runs on code. Galaxy delivers the onchain infrastructure that connects institutions to digital assets, including trading, advisory, asset management, staking, self-custody, and tokenization. Galaxy also develops and operates data center infrastructure to power AI and HPC workloads. Anchored by its Helios campus in Texas, Galaxy is building a multi-gigawatt pipeline of more than 5.7 GW of potential capacity, positioning it among the largest and fastest-growing data center developers in North America. The Company is headquartered in New York City, with offices across North America, Europe, the Middle East, and Asia. Additional information about Galaxy's businesses and products is available on www.galaxy.com . What We Value: We are a diverse team of free thinkers, and fast movers united to help investors and creators energize the global economy. We are looking for individuals who thrive in a culture of builders and overachievers and embrace high performance, transparent feedback, and a mission-first approach. Our culture shapes our way of working and gets us where we want to be. Seek Excellence. Be Selective To Be Effective. Be Highly Aligned, Loosely Coupled. Disagree Transparently. Encourage Independent Decision-Making. Build Dream Teams. Who You Are: You are a hands-on technical professional who enjoys working directly with enterprise infrastructure and helping colleagues solve IT problems. At Galaxy’s Tier 4 AI data center in Afton, Texas, you will work closely with Site Reliability Engineering and Network Engineering to deploy and maintain high-density GPU compute and high-performance networking infrastructure. You are comfortable troubleshooting servers, physical connectivity, Windows and macOS endpoints, and day-to-day employee technology issues. You follow documented procedures, communicate clearly, and are eager to grow your networking, systems administration, and infrastructure engineering skills. What You'll Do: Site Reliability Engineer (SRE) works to execute infrastructure deployments, maintain server and network hardware, troubleshoot physical connectivity, and support data center reliability. It also serves as an on-site IT support resource for Windows and macOS devices, endpoint management, account administration, and general technical troubleshooting . Key Responsibilities: Network Cabling & Connectivity Install, label, route, and maintain copper and fiber optic cabling. Troubleshoot physical connectivity involving cables, transceivers, patch panels, and switch ports. Perform basic copper and fiber connectivity testing using appropriate tools. Assist Network Engineering with physical-layer troubleshooting, equipment installation, and connectivity changes. Document cabling issues, port assignments, equipment connections, and rack elevations. Escalate complex network issues with clear troubleshooting findings. Onsite IT & End-User Support Provide Tier 1 and basic Tier 2 support for hardware, software, operating systems, account access, and connectivity. Provision, configure, deploy, troubleshoot, and maintain Windows and macOS laptops, desktops, and endpoint devices. Assist with device enrollment, configuration, application deployment, and compliance through MDM platforms such as Microsoft Intune. Support user accounts, password resets, access troubleshooting, and basic group management in Active Directory and Microsoft Entra ID. Troubleshoot Microsoft 365 applications, including Outlook and Teams. Support onboarding and offboarding, including device preparation, access, and equipment recovery. Install and troubleshoot printers, peripherals, conference room equipment, and on-site technology. Maintain device assignments, asset inventory, and endpoint lifecycle records. Track, document, and resolve IT support requests through the ticketing system. Infrastructure Reliability & Operational Support Respond to infrastructure alerts, hardware failures, and onsite incidents under SRE and Network Engineering direction. Perform routine equipment inspections and basic infrastructure health checks. Assist incident investigations by gathering information and performing on-site diagnostics. Follow change management, maintenance windows, and documented SOPs/MOPs. Document completed work, troubleshooting, and infrastructure changes. Collaborate with engineering teams and vendors to resolve technical issues. Participate in scheduled maintenance, including occasional after-hours work. What We’re Looking For: 1–3 years of experience in data center infrastructure, IT support, desktop support, or a related technical role. Hands-on experience installing, cabling, maintaining, or troubleshooting physical servers, switches, or enterprise IT equipment. Familiarity with racks, structured cabling, fiber optics, and basic data center hardware maintenance. Experience supporting and troubleshooting Windows and macOS. Familiarity with endpoint management or MDM solutions, preferably Microsoft Intune. Basic experience with Active Directory and/or Entra ID user account and access management. Understanding of IP addressing, Ethernet, DNS, DHCP, and basic connectivity troubleshooting. Experience troubleshooting end-user hardware, software, and peripherals. Familiarity with IT ticketing, technical documentation, and inventory management. Ability to follow technical instructions and engineering direction accurately. Strong communication, organization, collaboration, and problem-solving skills. Bonus Points: Experience in enterprise and/ or colocation data centers. Familiarity with enterprise server platforms. Exposure to networking equipment. Experience with fiber optics, transceivers, and/ or high-speed links. Experience with Intune enrollment, configuration profiles, compliance policies, and/ or application deployment. Experience with Microsoft 365 administration and/ or endpoint security tools. Basic familiarity with Hypervisor virtualization, VM management, and self hosted enterprise storage. Exposure to cable certification, fiber testing, and/ or network diagnostic tools. Familiarity with infrastructure monitoring, asset management, and/ or documentation platforms. Basic PowerShell, Bash, or Python scripting experience. Experience with employee onboarding, device lifecycle, and/ or IT asset tracking. Familiarity with IT change management and incident response. OSHA 10-Hour or OSHA 30-Hour Outreach Training completion (construction or general industry); current training card preferred. What We Offer: Competitive base salary and discretionary bonus Paid Time Off Company-paid health and protective benefits for employees, partners, and other dependents Company Paid Holidays (14) 3% 401(k) company contribution Generous paid Parental Leave Free virtual coaching and counseling sessions through Headspace Opportunities to learn about the Crypto industry Free daily snacks and daily meals Smart, entrepreneurial, and fun colleagues Employee Resource Groups Benefits may vary depending on location. Apply now and join us on our mission to engineer a new economic paradigm. Galaxy respects diversity and seeks to provide equal employment opportunities to all employees and job applicants for employment without regard to actual or perceived age, race, color, creed, religion, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression (including transgender status), sexual orientation, marital or partnership or caregiver status, ancestry, national origin, citizenship status, disability, military or veteran status, protected medical condition as defined by applicable state or local law, genetic information or predisposing genetic characteristic, or other characteristic protected by applicable federal, state, or local laws and ordinances. We will endeavor to make a reasonable accommodation to the known limitations of a qualified applicant with a disability unless the accommodation would impose an undue hardship on the operation of our business. If you believe you require such assistance to complete the application process or to participate in an interview, please contact careers@galaxy.com.

Location: India Who We Are: Galaxy Digital Inc. (Nasdaq: GLXY) is a global leader in digital assets and data center infrastructure, growing the economy that runs on code. Galaxy delivers the onchain infrastructure that connects institutions to digital assets, including trading, advisory, asset management, staking, self-custody, and tokenization. Galaxy also develops and operates data center infrastructure to power AI and HPC workloads. Anchored by its Helios campus in Texas, Galaxy is building a multi-gigawatt pipeline of more than 5.7 GW of potential capacity, positioning it among the largest and fastest-growing data center developers in North America. The Company is headquartered in New York City, with offices across North America, Europe, the Middle East, and Asia. Additional information about Galaxy's businesses and products is available on www.galaxy.com . What We Value: We are a diverse team of free thinkers, and fast movers united to help investors and creators energize the global economy. We are looking for individuals who thrive in a culture of builders and overachievers and embrace high performance, transparent feedback, and a mission-first approach. Our culture shapes our way of working and gets us where we want to be. Seek Excellence. Be Selective To Be Effective. Be Highly Aligned, Loosely Coupled. Disagree Transparently. Encourage Independent Decision-Making. Build Dream Teams. The Role: This is an exciting opportunity to join and help grow Galaxy’s data engineering team in Mumbai at the start of building a next-gen, real-time, cloud-native analytics platform which is powered by kdb+ technology and AI-driven analytics. You will be working in a collaborative startup-like environment with data assets that span digital and traditional finance products, services and markets. Responsibilities: Ensure stability and quality of real-time ingestion processes Build and support kdb Insights (or KDB-X) modules, packages and pipelines processing billions of real-time messages daily Develop performant queries and functions to support business activities across various trading desks Build SRE tools focusing on proactive detection of performance bottlenecks across the platform’s core q, Python and Java processes running 24x7 in AWS Required Qualifications: 5+ years of core kdb+/q development Practical experience in developing, deploying and supporting large-scale kdb+ platforms, preferably in AWS Hands-on experience with kdb Insights, including advanced usage of microservices and development of packages, pipelines and UDAs (user-defined analytics) Hands-on experience with Kubernetes services in AWS Development experience using Python data processing libraries and PyKX Preferred Qualifications: Exposure to building Datadog dashboards with kdb metrics Experience with integrating kdb+ with enterprise lakehouses, specifically Databricks Experience using AI coding agents in development, testing, release and SRE lifecycles Experience in working with crypto products, markets and data What We Offer : Competitive base salary and discretionary bonus Company-paid health and protective benefits for employees and their eligible dependents Free virtual coaching and counseling sessions Opportunities to learn about the Crypto industry Smart, entrepreneurial, and fun colleagues Employee Resource Groups *Benefits may vary depending on location. Apply now and join us on our mission to engineer a new economic paradigm. Galaxy respects diversity and seeks to provide equal employment opportunities to all employees and job applicants for employment without regard to actual or perceived age, race, color, creed, religion, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression (including transgender status), sexual orientation, marital or partnership or caregiver status, ancestry, national origin, citizenship status, disability, military or veteran status, protected medical condition as defined by applicable state or local law, genetic information or predisposing genetic characteristic, or other characteristic protected by applicable federal, state, or local laws and ordinances. We will endeavor to make a reasonable accommodation to the known limitations of a qualified applicant with a disability unless the accommodation would impose an undue hardship on the operation of our business. If you believe you require such assistance to complete the application process or to participate in an interview, please contact careers@galaxy.com.

Location: India Who We Are: Galaxy Digital Inc. (Nasdaq: GLXY) is a global leader in digital assets and data center infrastructure, growing the economy that runs on code. Galaxy delivers the onchain infrastructure that connects institutions to digital assets, including trading, advisory, asset management, staking, self-custody, and tokenization. Galaxy also develops and operates data center infrastructure to power AI and HPC workloads. Anchored by its Helios campus in Texas, Galaxy is building a multi-gigawatt pipeline of more than 5.7 GW of potential capacity, positioning it among the largest and fastest-growing data center developers in North America. The Company is headquartered in New York City, with offices across North America, Europe, the Middle East, and Asia. Additional information about Galaxy's businesses and products is available on www.galaxy.com . What We Value: We are a diverse team of free thinkers, and fast movers united to help investors and creators energize the global economy. We are looking for individuals who thrive in a culture of builders and overachievers and embrace high performance, transparent feedback, and a mission-first approach. Our culture shapes our way of working and gets us where we want to be. Seek Excellence. Be Selective To Be Effective. Be Highly Aligned, Loosely Coupled. Disagree Transparently. Encourage Independent Decision-Making. Build Dream Teams. Who You Are: You're a hands-on engineer with several years of experience building and operating production data platforms. You're fluent in Python or Java and comfortable across the modern data stack — AWS, Kubernetes, Terraform, Kafka, and Databricks/Spark. You care about reliability and developer experience, write clean and well-tested code, and like enabling other teams to move fast on infrastructure you own. You're curious about crypto and energized by working at the intersection of finance and emerging technology. What You’ll Do: Build and maintain the tooling and infrastructure that lets data champions ship pipelines autonomously Own monitoring, alerting, and dataops practices that keep the platform reliable as it scales Operate Kafka as the message broker powering cross-team event-driven architecture Deploy, own and maintain infrastructure components (services, OSS helm charts) with Terraform and Kubernetes Run high-throughput, low-latency processing on Databricks/Spark and cloud-native services on AWS Support dbt for transformations and Airflow (or similar) for orchestration across the platform Partner with product, analytics, and infrastructure teams on design and delivery of platform improvements Troubleshoo t production issues and drive the fixes Embrace and champion the thoughtful adoption of AI to improve team performance and business outcomes. Leverage AI tools (e.g., generative AI, automation platforms, data copilots) to improve productivity, decision-making, and output quality in your day-to-day work. What We’re Looking For: Bachelor’s or Master’s degree in Computer Science , Engineering, or related field 5+ years building data or platform engineering systems in production Strong coding skills in Python or Java Experience operating production data platforms on AWS and supporting downstream teams who build on them Hands-on with Kubernetes and Terraform Experience running Kafka (or a similar broker) in event-driven systems Working knowledge of Databricks/Spark, dbt, and Airflow Solid grasp of data modeling, data quality, and relational and non-relational databases (e.g., Postgres, SQL Server) Comfortable with CI/CD, testing frameworks, and observability tooling Bonus Points: Experience with d ashboarding technologies Experience with streaming engine ( flink , kdb ) Full lifecycle development of a commercial system, including: requirements definition, agile planning, releasing, and production support Experience in Crypto What We Offer : Competitive base salary and discretionary bonus Company-paid health and protective benefits for employees and their eligible dependents Free virtual coaching and counseling sessions Opportunities to learn about the Crypto industry Smart, entrepreneurial, and fun colleagues Employee Resource Groups *Benefits may vary depending on location. Apply now and join us on our mission to engineer a new economic paradigm. Galaxy respects diversity and seeks to provide equal employment opportunities to all employees and job applicants for employment without regard to actual or perceived age, race, color, creed, religion, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression (including transgender status), sexual orientation, marital or partnership or caregiver status, ancestry, national origin, citizenship status, disability, military or veteran status, protected medical condition as defined by applicable state or local law, genetic information or predisposing genetic characteristic, or other characteristic protected by applicable federal, state, or local laws and ordinances. We will endeavor to make a reasonable accommodation to the known limitations of a qualified applicant with a disability unless the accommodation would impose an undue hardship on the operation of our business. If you believe you require such assistance to complete the application process or to participate in an interview, please contact careers@galaxy.com.

Upvest is looking for a Securities Operations Intern to manage securities and PEA transfers, reconciliations, exceptions, tax records, and operational reporting.

Matic is looking for a Systems Engineer Firmware to develop embedded firmware, support hardware changes, debug electromechanical failures, and improve controls systems.

Revolut is looking for a Credit Policy Manager to design mortgage credit risk policies, validate underwriting strategies, manage portfolio performance, and ensure regulatory compliance.

Location: Remote About GiveDirectly What if the most effective way to fight poverty was also the simplest: give people money and trust them to decide what they need? Since 2011, GiveDirectly has proven that idea at scale. We’ve delivered more than $1B in cash directly to 2+ million people living in poverty and crisis across 15 countries, and rigorous research shows the results: healthier kids, stronger businesses, sturdier homes, and more resilient families and local economies. Cash is now widely recognized as one of the most scalable, cost-effective, and dignified forms of aid. Our ambition goes beyond our own programs. We want cash to become the benchmark for aid, much as the index fund became the benchmark for investing, so that every aid dollar is held to one question: is this doing more good than giving the money directly to people living in poverty? We’re growing fast, and this is a rare and important moment to join. We expect to hit $1B in revenue in 2026 with significant growth forecast for 2027. At the same time we are building a new technology stack and operating model designed for a roughly 10x change in scale, and we are actively pursuing partnerships with major funders to move even more money in bigger ways, to people who need it. We are known for our extensive integration of technology into field processes; our quantitative approach to performance measurement; and our commitment to rigorous, independent, experimental evaluation of our impact, with multiple Randomized Control Trials completed and others in progress. How we work Our team spans 20+ countries and 69 languages. Our culture is candid, analytical, and non-hierarchical. We expect high ownership and give people real responsibility early. Our values are central to how we hire, work, and grow, and they are deliberately opinionated: Recipients first. Recipients’ preferences come before those of donors or ourselves. Team next. We optimize for organizational success, not individual success. Be proactively candid. We say what we believe and share information openly. Create positive energy. We aim to be a source of energy for colleagues, not a drain. Think rigorously; act quickly. We reason from first principles, then act rather than debate. Know yourself and grow. We own our imperfections and seek feedback to grow. Accept reality. Propose solutions. We focus on what can change and bring solutions, not just problems. Be productively ambitious. We take risks for step-change impact, not incremental progress. If they describe how you like to work and they energize you, this could be a great fit. Want to learn more? Read and listen: We are one of Time100’s Most Influential Companies of 2026, and our work has been covered by The Economist , NPR , TED , and The Washington Post . We're now preparing to deliver billions of dollars a year to people in extreme poverty, if funding allows. Read our CEO's essay on what that will take. About this role GiveDirectly gives cash directly to people living in poverty and in emergencies. Both depend on the same question: did this person live in this place, at this time? We ask it when we target the poorest households, and when a disaster displaces a community overnight. Location records held by Mobile Network Operators (MNO) can help us estimate an answer to this question at scale. We work with MNOs so they can infer, from their own records, whether a subscriber was resident in a target area over a defined period. Robust residence location inference from MNO data requires in-depth analytical work, and the methods we design have to run on an operator's systems - most often implemented by their engineers - under strict data protection and confidentiality rules. We are hiring a Senior Data Scientist to progress our work on location inference from MNO data, and to make it repeatable. Your job is to improve and extend our library of method templates, adapt them to each new operator and setting, and design new elements when an intervention requires it. You'll assess what can be inferred from a given operator's data, specify the analysis clearly enough for their data engineers to implement, then test it with them remotely or on site. You'll support introductory meetings with MNOs, describing methodologies at a high level, and inform the work of data privacy and cybersecurity teams to ensure only necessary data are shared securely. You'll also help colleagues across GiveDirectly understand the strengths and limitations of this data source, so we design programs around questions it can best answer. This work is live in several countries, and we're expanding it across the countries where we have offices and to low- and middle-income countries anywhere in the world when a crisis hits. Reports to: Senior Product Manager - MNO data Level : Senior Manager Location: At this stage of GiveDirectly’s growth and scale, we’re prioritizing hiring in the countries below, where we can employ you through a GD entity or an established employer of record: Cameroon, Canada, Colombia, DRC, Germany, Ghana, Kenya, Malawi, Mozambique, Netherlands, Nigeria, Poland, Portugal, Rwanda, South Africa, Spain, Turkey, Uganda, United Kingdom, and United States. This list reflects where our employment infrastructure is established today, and may evolve as we grow. If you’re based elsewhere and not open to relocation, we may not be able to consider your application for this role right now, but we’d encourage you to check back. Please note that we are unable to sponsor or take over sponsorship of employment Visas in the U.S. or U.K. at this time. Travel Requirement: Substantial international travel, roughly 25 to 50% of your time depending on emergencies, sometimes at short notice - for workshops with operators to support programs and emergency responses. What you’ll do: Improve and extend our library of analytical method templates for establishing where people live from MNO data, and depending on circumstances, for detecting displacement or estimating poverty. Design novel methods when an intervention requires it. Support colleagues in technical conversations with operators, bringing clarity on the data we need and why, and steering discussions toward technical designs that make the analysis workable. Assess the information that can be inferred from each operator's data given data types and sparsity, and for each geography and targeted area. Support intervention design to account for data quality. Write tests and method specifications for MNO data engineers to implement: steps, parameters, pseudocode, validation criteria. Guide operator engineering teams through implementation, in writing and in person. Adapt methods to accommodate large data volume and computational constraints, balancing accuracy and operational needs. Run in-country workshops with operators to support the set-up of new analyses and - where feasible - tune parameters based on statistical tests and distributions. Feed every new analytical and implementation element back into standard templates, so the next country or intervention starts from a better position than the last. Design for privacy from the start, so that as little data as possible has to be shared: aggregation, minimization, and where useful, privacy-enhancing technologies such as private set intersection or homomorphic encryption. Protect the confidentiality of what operators share with us and improve internal data security processes and tools as we grow. Build internal training material so that our technical and non-technical teams understand the strengths and limits of this data, and design interventions accordingly. What you’ll bring: Exceptional alignment with GiveDirectly Values and active demonstration of our core competencies: emotional intelligence, problem solving, project management, follow-through, and fostering inclusivity. We welcome and strongly encourage applications from candidates who have personal or professional experience in the low-income and/or historically marginalized communities that we serve. Strong mathematical modeling, machine learning and statistics. You choose methods for the question rather than for their sophistication, and you value being able to explain a result over squeezing out the last point of performance. Deep comfort with spatio-temporal data: temporal filtering, GIS, probability distributions, combinatorial reasoning, and working with sparse, irregular observations. Direct experience with Call Detail Records (CDRs) or latching data is a strong plus. Comparable experience with mobility, transport, sensor or remote-sensing data counts. The ability to reason without ground truth. Much of this work has no validated answer to check against, and you're comfortable setting parameters by reading the shape of the data and defending that choice. Pragmatism about the trade-off between accuracy and implementability. You've deliberately simplified a method to fit an operational constraint, and you can say what it cost you. Excellent communication and relationship-building skills. You can explain a method and its limitations to an operator's engineers, to their data protection officer, to their leadership and to colleagues with or without technical background. You write well and are comfortable presenting to these multiple audiences. You build trust with counterparts you don’t manage, and they want to work with you again. Experience writing technical specifications that other teams implemented, clear enough that people you don't manage could follow them correctly. Able to read and review SQL and Python written by others, and to find the logical error in someone else's query. Writing production-quality code yourself is welcome but not required. Enough understanding of large data volumes and databases to judge when analytical simplification is required. Commitment to privacy by design as a foundational value and starting point rather than a compliance step: designing analyses so that less personal data has to be shared. Familiarity with privacy-enhancing technologies for shared computation (private set intersection, secure multi-party computation, homomorphic encryption) is a strong plus. Commitment to confidentiality. You've handled a partner's commercially sensitive data and can describe the habits you built around it, not just the clause you signed. Experience designing training material that changed how non-specialist colleagues used a data source. Comfort in fast-moving contexts where the brief may often shift, and where your technical expertise and understanding may not be shared by other stakeholders. Additional desirable experience may include: poverty modeling; familiarity with survey data and survey instruments; experience inside a mobile network operator or working closely with one; open-source contributions in the mobility estimation space. Comfortable with travel to fragile and post-disaster contexts. Language Requirement: English. Language Preferences: French, Portuguese, Swahili or Spanish. Compensation At GiveDirectly, we strive to pay our employees generously and equitably. We use an accredited third party salary aggregator to calculate what we believe to be competitive pay based on role, location, and cost of living. We also have a no negotiation policy to ensure we are paying staff equitably across roles. Read more about our compensation philosophy here . Unless otherwise noted, the benefits stipend may be used to cover benefits or taken as additional taxable income. United State Base Salary: $107,070 Bonus at Target Performance: 10% Annual Benefits Stipend: $21,393 United Kingdom Base Salary: £70,250 Bonus at Target Performance: 10% Annual Benefits Stipend: £2,760 Kenya Base Salary: $ 72,550 Bonus at Target Performance: 10% Annual Benefits Stipend: $8,454 This role is fully remote, so if you are not based in the US, UK or Kenya, we will share an estimated salary benchmark for the country you are based in during the hiring process. #LI-REMOTE Working at GiveDirectly GiveDirectly is an Equal Opportunity Employer. All qualified applicants are considered for employment without regard to the person’s race, color, religion, national origin, sex, sexual orientation, age, marital status, veteran status, disability, or any other characteristic protected by applicable law. Flagging for US applicants: We invite you to " Know Your Rights " as an applicant. Commitment to Safeguarding As a global organization working with communities to eliminate extreme poverty, GiveDirectly takes the safeguarding of its recipients, staff, and partners seriously. To that end, GiveDirectly is a member of the Misconduct Disclosure Scheme , and will systematically check with previous employers about any abuse or misconduct related matters involving potential new hires. We may also employ other robust pre-hire screens, including in-depth reference checks, criminal background checks, and sanctions screens. These efforts help us continue to build and maintain trust with the communities we work with, and prevent abuse to our recipients and staff. **GD is committed to observing all local, national and international laws that protect people and basic human rights of all. GD is committed to a policy of “zero tolerance when it comes to preventing,  reporting, or responding to any form of abuse or  exploitation.” and expects anyone who works for GD to uphold the protection and safeguarding of our recipients as a priority.** Reasonable Accommodations We are committed to fostering an inclusive and accessible work environment. If you require any accommodations during the application or interview process, or to perform the essential functions of the role, please email us at careers@givedirectly.org with the email subject “Accommodation Needed”. We will work with you to ensure reasonable accommodations are made to support your needs. Want to put your best foot forward on your GiveDirectly application? Take a look at our Candidate Application Prep Guide ! Referrals Know the right person for this role? Please consider referring them . We offer a reward of $3,000 for a Senior Manager or above role, and $500 for a Manager role, paid if we end up hiring your referral. Thank you for sending great people our way!

Location: Paris Workplace: Remote ABOUT MORPHO Morpho is a leading Decentralized Finance (DeFi) lending protocol backed by a16z crypto, Paradigm, Ribbit Capital, Apollo, Vaneck, Coinbase Ventures, Variant and 50 others to build an open credit network giving anyone, anywhere, access to the best possible terms. Morpho is experiencing exponential adoption, with over billion in deposits on the network and used by institutional clients including Bitwise, Galaxy, and Anchorage Digital and the largest crypto exchanges, such as Coinbase, Binance, and Kraken. Now, Morpho is scaling its team of contributors to establish itself as the open credit network, not just of DeFi, but of the world.   WHY MORPHO EXISTS Everyone has the potential to build something great for the world. But fulfilling that ambition almost always requires more: people willing to trust you with their capital. Yet access to capital still depends on where you live, who you know, and which institutions are willing to trust you. Even when capital is available, it sits fragmented across disconnected networks and hidden behind intermediaries. The result is a system that fails most of the people it should serve. Borrowers overpay. Lenders earn less than they should. Many are shut out entirely, not because they are unworthy of credit, but because today's infrastructure was never built to connect them. Morpho exists to solve this. Full article here https://morpho.org/blog/why-morpho-exists/. ABOUT THE ROLE You’ll run Morpho’s corporate IT: accounts and access, laptops, and the SaaS tools the company runs on, all set up securely. You’ll work closely with the security team: they set policy and lead on incidents, and you put that policy in place across our tools and devices. The scope is broad and the work is hands-on. We’d rather automate repetitive work than hire for it, so expect to write scripts and build your own tooling, using AI where it helps. We’ll go through our stack with you early in the process. RESPONSIBILITIES - Administer SSO, the directory and the password manager. Handle onboarding and offboarding, and run regular access reviews. - Manage the Mac fleet: setup, MDM policies, OS and app updates, and keeping the endpoint security agent installed and working. - Apply the security baselines and access policies the security team defines, and keep our tools configured to match. - Administer our SaaS tools: setup, admin access and licences. Handle the IT side of bringing on new vendors. - Support the security team during incidents by isolating devices, revoking access and pulling logs. - Provide evidence for IT controls during audits. - Automate repetitive work such as onboarding, offboarding, access reviews and evidence collection. - Write and maintain documentation for IT procedures. - Take part in IT on-call. DEFINITION OF SUCCESS - 1 month: handles onboarding, offboarding and day-to-day account and device work without help, and knows how our tools are set up. - End of probation: owns our identity, device and SaaS setup, has automated at least one process that used to be manual, and is the person the security team goes to for IT changes and incident support. - 12 months: runs corporate IT independently. Onboarding, offboarding, access reviews and audit evidence mostly run on tooling they built. EXPERIENCE - 5+ years in IT, systems engineering or IT security. - Hands-on admin experience with an enterprise identity provider, an MDM and endpoint security tools. - Strong macOS management: configuration profiles, privacy preference and system extension policies. - Writes Python or Bash to automate work. Infrastructure as code is a plus. - Has supported a SOC 2, ISO 27001 or similar audit. - Knows crypto companies are frequent targets of phishing and social engineering, and sets up systems with that in mind. Web3 or fintech experience is a plus. - Writes clear documentation. - Prefers simple setups people follow over perfect ones they work around. - Comfortable being part of an on-call rotation. PERKS & BENEFITS We design benefits around deep work and growth, so you can do the best work of your career. Expect fair, top-tier compensation, real flexibility, time together in Paris, great health coverage, and support to keep learning.   EQUAL OPPORTUNITY We welcome applicants from all backgrounds and hire based on talent, potential, and values alignment.

Location: Denver, Colorado, United States, AMER; USA - Austin (dbt); USA - New York (dbt) 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. Senior Customer Solutions Architect About the role The Senior Customer Solutions Architect (Sr. CSA) owns the technical relationship for our most complex and strategic customers, helping them get the most value from the combined Fivetran and dbt platform. Working alongside Account Executives (AEs) and Solutions Engineers (SEs), the Sr. CSA makes sure these customers not only deploy successfully, but keep scaling and expanding their usage over time. This role operates as a technical account manager and strategic advisor to some of our largest customers. The Sr. CSA owns the technical narrative after go-live: leading architecture strategy, running executive-level technical conversations, uncovering new data challenges, and guiding customers through architecture evolution, adoption, and expansion. The Sr. CSA is accountable for both retention and growth, and is measured on incremental ARR, Net Revenue Retention (NRR), and Gross Revenue Retention (GRR) across a book of larger, more strategic accounts. Beyond their own accounts, the Sr. CSA sets the standard for the CSA team by mentoring teammates, building repeatable playbooks, and shaping how the team works. This is a senior individual contributor role with no direct reports. Location: Austin, TX / Denver, CO / New York City, NY (hybrid). This is a full-time position, and candidates must be located in Austin, Denver or NYC and able to work in the office two days a week (Tuesday and Thursday). What you'll do Customer Adoption and Value Realization Own the post-sales technical relationship for a portfolio of our most complex, strategic Enterprise accounts, including multi-business-unit and multi-region customers Set the adoption strategy for each account, and drive optimization and sustained usage of the platform at scale Introduce new products and features to customer leaders and architects, and shape how they fit into the customer's roadmap Design enablement programs and workshops for large, distributed customer teams, and turn the best ones into reusable programs for the CSA team Anticipate churn or contraction risks well before they surface, and lead recovery plans for at-risk strategic accounts, including implementation reviews and healthcheck sessions Expansion and Growth Co-lead multi-quarter expansion strategy with the AE across business units, regions, and use cases, including opportunities to bring both Fivetran and dbt into an account Shape the account plan and own the technical side of the expansion pipeline, translating executive-level customer initiatives into scalable data workloads and solutions Lead technical validation of the most complex new workloads, including workshops and, where necessary, proofs of concept (POCs) Turn successful use cases into repeatable expansion plays that other CSAs can run in their own accounts Advise on the customer lifecycle, renewals, and commercial structure of large accounts Technical Strategy and Architecture Act as the chief technical stakeholder for your accounts after go-live, and the escalation point for the hardest technical questions Set architecture direction across your accounts, and design cross-product Fivetran and dbt reference architectures that other CSAs reuse Advise customers' senior architects and data leaders on pipelines, transformation, automation, governance, security, and platform adoption at scale Maintain technical artifacts such as architecture documentation, design patterns, and knowledge bases, and raise the quality bar for the team's shared assets Stakeholder Engagement and Account Planning Serve as the company's technical voice with senior executives (VP and C-level), while building multi-threaded relationships across technical, operational, and executive stakeholders Run regular technical cadence calls, executive business reviews, and roadmap sessions Own Mutual Success Plans and shape Mutual Account Plans with the AE, mapping whitespace across business units, subsidiaries, and use cases Align customer technical strategy with business objectives and commercial plans, and represent the technical view in account strategy discussions Internal and Partner Collaboration Act as the technical orchestrator across Sales, Professional Services, Product, and Engineering, resolving cross-team issues on strategic accounts with minimal direction Advocate for customer needs internally, and influence the product roadmap and priorities with well-supported customer evidence Collaborate with technology partners and system integrators (e.g., Snowflake, Databricks, AWS, GCP) to drive joint value on strategic accounts Partner with CSA leadership to improve team processes, refine assets, and strengthen the knowledge-sharing loop Technical Leadership Without Direct Reports Mentor and coach CSAs on technical depth, account strategy, and customer conversations Take on the most ambiguous and high-stakes customer situations, and bring structure that others can follow Serve as a go-to expert and sounding board for complex accounts, architecture reviews, and executive-level presentations Help onboard new CSAs and contribute to hiring by interviewing candidates Build and share playbooks, reference architectures, and demo assets that raise the performance of the whole team Thought Leadership Create and deliver external-facing content through live events, speaking engagements, blog posts, recorded tutorials, or other educational resources Represent the company as a technical speaker at customer, partner, and industry events Work closely with Regional and Product Marketing to support field and industry events, and align field and industry requirements with the product roadmap What you bring 5+ years of experience in a post-sales, customer-facing technical role, such as Solution Architect, Technical Account Manager, or Customer Success Engineer, with a track record on large Enterprise accounts Proven record of owning customer outcomes after the sale, including adoption, renewal, and expansion, with results you can quantify (such as NRR, GRR, or incremental ARR) Deep technical background, with experience designing scalable data architectures, a strong understanding of modern data warehousing and the analytics stack, and advanced SQL proficiency Ability to translate business objectives into technical solutions and measurable outcomes for complex, multi-team organizations Strong stakeholder management skills across technical and non-technical audiences, and credibility presenting to senior executives Experience mentoring or coaching peers, and influencing teams and processes without formal authority A proactive, self-sufficient, and highly organized approach to managing multiple strategic accounts Comfort operating strategically while also engaging in deep technical discussions Ability to operate in an ambiguous, fast-paced environment, think on your feet in customer conversations, and bring structure to unclear situations A team-player mindset, both within the CSA team as we evolve our ways of working and in daily collaboration with AEs and SEs Openness to travel: we value in-person relationship building, both internally and externally, and expect willingness to travel to customers and events as needed What Will Make You Stand Out Hands-on experience with dbt, including large-scale project design; dbt certification is a bonus Python competency and advanced SQL knowledge Experience with cloud data platforms (Snowflake, Databricks, AWS, Azure, GCP) Background in data integration, ETL/ELT, or replication technologies, plus experience with ancillary tools, APIs, and managing data infrastructure Experience with workload-based or consumption-based sales models Familiarity with enterprise architecture frameworks and design patterns Experience working with system integrators or technology partners Experience speaking at industry events or publishing technical content Technologies You’ll Use Databases: SAP HANA, Oracle, SQL Server, Postgres Data platforms: Snowflake, Databricks, BigQuery, Redshift Products: Fivetran, dbt platform Languages: SQL, Python, bash or PowerShell Networking: SSH tunneling, VPNs, PrivateLink Modern data stack tools and ecosystem technologies Hiring Process Interview with Talent Acquisition Partner Interview with Hiring Manager Technical Interview Team Interview Final Interview: Mock Demo Compensation & Benefits 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. For this role, on-target earnings (OTE) are split 80% base salary and 20% variable compensation. 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. OTE (On Target Earning) $175,000 — $220,000 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.

AI-инженеринг (основной)-сетевая поддержка объекта (второстепенный)-DevOps для отдела разработки (низкий).

Задачи: — Повышать эффективность пайплайнов для расчёта daily‑признаков на базе batch‑процессинга. — Создавать пайплайн для realtime‑признаков на основе Kafka‑топиков. — Проектировать и разрабатывать сервисы для обработки миллиардов пользовательских событий. — Решать инженерные задачи по расчёту метрик и построению витрин. — Работать с потоками данных и интеграциями между CDP и другими системами 2ГИС. — Участвовать в формировании архитектурных решений. — Взаимодействовать с аналитиками, продактами и инженерами. Требования: — Опыт работы с highload‑системами. — Опыт проектирования архитектуры данных или платформенного кода. — Опыт работы с Kafka, ClickHouse либо аналогичными системами потоковой и аналитической обработки данных. — Уверенное понимание и умение применять Spark. — Владение одним из языков программирования (например, Python или Scala). — Самостоятельность и проактивность в поиске решений. — Ориентация на создание продукта с учётом бизнес‑логики. — Плюсом будет опыт работы с Airflow. — Навыки анализа данных на SQL. — Знание инструментов контроля качества данных (Data Quality, Data Contracts). — Опыт построения Data Lineage и работы с Data Catalog. — Понимание подходов к персонализации, сегментации или real‑time‑аналитике. — Понимание работы S3‑хранилища.

Эксплуатация, сопровождение и развитие Kubernetes-кластеров в частных и публичных облаках, а также на физических серверах (Bare Metal); Развёртывание и настройка новых Kubernetes-кластеров под задачи компании;

Location: Paris; London 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 As a People Tech & Analytics Engineer on the People team, you will build the systems, data pipelines, and automations behind how Mistral runs People Operations. Reporting to the People Tech & Analytics Lead, you will turn the roadmap into reality: wiring our HR tech stack together, making data flow reliably between systems, and automating people processes with third-party tools as well as Mistral's own models, agents, and APIs. This is an individual contributor role for someone who loves building. You will spend most of your time in the systems and the data, deep-diving into problems: connecting HRIS, ATS, payroll, identity, and finance tools, standing up the data layer behind our people metrics, and shipping automations that remove manual work from the People team. If you are a data engineer or people technology specialist who wants to deliver meaningful automation outcomes at Europe's largest AI company, this is the role for you. WHAT YOU WILL DO - Build, maintain, and troubleshoot integrations and data pipelines across our HR systems (HRIS, ATS, payroll, identity and finance), run data quality checks, and fix inconsistencies at the source. - Implement and evolve the Metabase visualisation layer of our people data lake, build the dashboards and self-serve reporting managers and People partners rely on, and run hands-on analyses of workforce trends, retention and organisational health, supporting the move to conversational insights for leadership. - Design, build, test and document automated workflows, mainly with Mistral's own models, agents and APIs, with human review wherever decisions affect people, monitor live automations with alerting, error handling, logging and runbooks, and prototype AI use cases on people processes, productionising the ones that prove their worth. - Implement configuration changes across the HR tech stack (workflows, fields, roles and permissions, new countries and entities), support testing and rollout of system changes and integrations, and act as first-line troubleshooter for the People team, leading issue resolution through to production with a clear audit trail. - Architect end-to-end HR workflows with key stakeholders in HR Operations, Business Partnering and Reward, and implement data governance in practice: quality standards, access controls, retention rules and audit trails for employee data. - Provide clear enablement materials in Notion so the People team and managers can use our systems confidently, with strong tier-1 support via a bot. WHAT WE'RE LOOKING FOR - Experience in data engineering, analytics engineering or HR technology, ideally within an HR or People function or working closely with one as a stakeholder. - Strong practical SQL and Python skills: you are comfortable building pipelines and transformations yourself. - Hands-on experience with HR systems such as Ashby, and integrating them with ATS, payroll, identity and finance tools via APIs, middleware and data pipelines. - Real automation experience: you have built and maintained workflows in n8n or similar tools such as Make, Zapier, Workato or Langdock, and you are excited to do the same with Mistral's own models and tooling. - Working experience with data warehousing (Snowflake, BigQuery) and the modern data stack (dbt or similar), and with visualisation tools such as Metabase, Looker, Tableau or Power BI. - You are low-ego and team-spirited, and you take a prioritised problem and run with it in ambiguity: you would rather build a first version and iterate than wait for a perfect spec. You start from the HR need, not the technology, stay hands-on, and have a track record of building foundations in growing organisations without creating legacy. 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: USA - New York (dbt) 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. Customer Solutions Architect About the role The Customer Solutions Architect (CSA) is the primary post-sales technical owner for our existing customers, helping them get the most value from the combined Fivetran and dbt platform. Working alongside Account Executives (AEs) and Solutions Engineers (SEs), the CSA makes sure customers not only deploy successfully, but keep scaling and expanding their usage over time. This role operates as a technical account manager and strategic advisor, bridging the gap between onboarding success and long-term growth. The CSA owns the technical narrative after go-live: monitoring an existing book of business, leading technical discussions, uncovering new data challenges, and guiding customers through architecture evolution, adoption, and expansion through live demos and technical workshops. Unlike implementation-focused roles, the CSA is accountable for both retention and growth, and is measured on incremental ARR, Net Revenue Retention (NRR), and Gross Revenue Retention (GRR). You will act as a trusted advisor, advocate, and accelerator, ensuring customers derive maximum value from their data investments while aligning their technical roadmap with the platform's capabilities. Location: New York City, NY (hybrid). This is a full-time position, and candidates must be located in NYC and able to work in the office two days a week (Tuesday and Thursday). What you'll do Customer Adoption and Value Realization Own post-sales technical engagement across a portfolio of assigned Commercial and Enterprise accounts Drive adoption, optimization, and ongoing usage of the platform, moving customers from initial deployment to sustained, scalable success Educate customers on new products and features as they launch, and on existing capabilities they may not be using Deliver enablement sessions, workshops, and best-practice guidance Monitor account health signals (usage, performance, support trends) and proactively intervene to address churn or contraction risks, including running implementation reviews and healthcheck sessions Expansion and Growth Identify, validate, and execute expansion opportunities across business units, regions, and use cases, including opportunities to bring both Fivetran and dbt into an account Translate customer initiatives into scalable data workloads and technical solutions Partner with AEs to drive incremental ARR through structured expansion plays and a managed expansion pipeline Lead technical validation of new workloads, including workshops and, where necessary, proofs of concept (POCs) Replicate successful use cases across the organization to accelerate growth Provide strategic input on the customer lifecycle and renewals process Technical Strategy and Architecture Define and maintain Enterprise Reference Architectures aligned to customer environments, ensuring architectural consistency and scalability across implementations Guide customers on best practices for data pipelines, transformation, automation, and platform adoption Maintain technical artifacts such as architecture documentation, design patterns, and knowledge bases Stakeholder Engagement and Account Planning Build and maintain strong relationships with technical, operational, and executive stakeholders, using stakeholder maps and multi-threaded engagement strategies Run regular technical cadence calls, business reviews, and roadmap sessions Contribute to Mutual Account Plans and own Mutual Success Plans, mapping whitespace opportunities across business units, subsidiaries, and use cases Align customer technical strategy with business objectives and commercial plans Internal and Partner Collaboration Act as the technical orchestrator across Sales, Professional Services, Product, and Engineering, keeping delivery teams aligned with long-term expansion strategy Advocate for customer needs internally, influencing the product roadmap and priorities Collaborate with technology partners (e.g., Snowflake, Databricks, AWS, GCP) to drive joint value Help improve team processes, refine assets, and enable teammates through our knowledge-sharing loop Thought Leadership Contribute to and deliver external-facing content through live events, speaking engagements, blog posts, recorded tutorials, or other educational resources Work closely with Regional and Product Marketing teams to support field and industry events Support senior leadership in aligning field and industry requirements with the product roadmap, collaborating with Product and Product Marketing under their guidance. What you bring 2+ years of experience in a post-sales, customer-facing technical role, such as Solution Architect, Technical Account Manager, or Customer Success Engineer Strong ability to own and drive customer outcomes after the sale, including adoption, renewal, and expansion Solid technical background, with experience designing scalable data architectures, a firm understanding of modern data warehousing and the analytics stack, and SQL proficiency Ability to translate business objectives into technical solutions and measurable outcomes Strong stakeholder management skills across technical and non-technical audiences, and a high degree of comfort presenting to diverse audiences A proactive, self-sufficient, and highly organized approach to managing multiple accounts Comfort operating strategically while also engaging in deep technical discussions Ability to operate in an ambiguous, fast-paced environment and think on your feet in customer conversations A team-player mindset, both within the CSA team as we evolve our ways of working and in daily collaboration with AEs and SEs Openness to travel: we value in-person relationship building, both internally and externally, and expect willingness to travel to events as needed What Will Make You Stand Out Hands-on experience with dbt; dbt certification is a bonus SQL knowledge, with a working understanding of AI architecture, including LLMs, Knowledge Graphs, and RAG Experience with cloud data platforms (Snowflake, Databricks, AWS, Azure, GCP) Background in data integration, ETL/ELT, or replication technologies, plus experience with ancillary tools, APIs, and managing data infrastructure Experience with workload-based or consumption-based sales models Familiarity with enterprise architecture frameworks and design patterns Experience working with system integrators or technology partners Technologies You’ll Use Databases: SAP HANA, Oracle, SQL Server, Postgres Data platforms: Snowflake, Databricks, BigQuery, Redshift Products: Fivetran, dbt platform Languages: SQL, Python, bash or PowerShell Networking: SSH tunneling, VPNs, PrivateLink Modern data stack tools and ecosystem technologies Hiring Process Interview with Talent Acquisition Partner Interview with Hiring Manager Technical Interview Team Interview Final Interview: Mock Demo Compensation & Benefits 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. For this role, on-target earnings (OTE) are split 80% base salary and 20% variable compensation. 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. #LI-LC1 #LI-HYBRID #LI-MP1 OTE (On Target Earning) $165,000 — $190,000 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.