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Location: San Francisco, CA Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. The role This is a foundational role on Sierra's Operations team, sitting at the intersection of marketing and GTM. As Marketing Operations and Analytics Lead, you'll own two things: the measurement infrastructure that connects marketing programs to pipeline and revenue; and the operational processes that make the marketing engine run efficiently and at scale. What you'll do - Full-funnel attribution: Design and own Sierra's marketing attribution framework, connecting campaigns, events, content, and demand gen programs to pipeline generation and ultimately LTC conversions. - Pipeline analytics: Partner with Marketing and Sales to analyze pipegen by vertical, region, and segment. Track conversion rates at each stage and surface where marketing programs are—and aren't—generating high-quality opportunities. - Performance reporting: Build and maintain the marketing team's core performance dashboards—campaign ROI, event pipeline influence, channel mix, lead quality, and funnel velocity. - ICP & account intelligence: Develop data-driven ICP scoring and account prioritization models to focus marketing investment on segments with the highest win rates and ASPs. Integrate signals from first-party and third-party intent sources to keep targeting sharp. - Experiment design & optimization: Design rigorous A/B and multivariate tests across marketing channels. Establish the statistical standards the team uses to evaluate new programs; translate results into clear, actionable recommendations—not just p-values. - Lead management & routing: Define and maintain lead scoring models, MQL thresholds, and routing logic from first touch to Sales handoff. Partner with Sales to ensure lead quality, minimize friction, and continuously improve conversion from MQL to pipeline. - Campaign operations: Own the operational infrastructure behind campaign execution—email programs, landing page workflows, event lead capture, and list management. Build processes that let the demand gen and events teams move quickly without creating data debt. - Cross-functional partnership: Serve as the analytical and operational bridge between Marketing, GTM Ops, Finance, and Sales leadership—ensuring marketing metrics are aligned with company PG, POC, and ARR targets; contribute to quarterly business reviews (QBRs) and annual planning with marketing-specific performance analysis and forecasts What you'll bring - 12+ years spanning marketing analytics and marketing operations - Deep expertise in attribution modeling, multi-touch funnel analysis, and pipeline/revenue measurement in long, multi-stage enterprise sales cycles - Hands-on martech stack experience—marketing automation (Marketo, HubSpot, or similar), Salesforce, lead routing, and third-party enrichment tools - Strong SQL skills; fluency working with large datasets in modern data stacks (ClickHouse, Snowflake, BigQuery, or similar) - Proven ability to translate complex analyses into clear narratives for non-technical stakeholders, including C-suite executives - High attention to detail and a strong point of view on what "good" looks like—you've built this infrastructure before and know where the landmines are OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized  - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

Location: San Francisco, California; New York, New York Workplace: Hybrid 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: You'll be Recruiting's dedicated people analytics partner — owning the data, shaping the strategy, and in the room where decisions get made. The core of the role is building trusted recruiting analytics infrastructure (funnel + stage conversion, pipeline aging, time-to-fill, offer acceptance, sourcing channel quality, and recruiter capacity) and making it self-serve for recruiters and leaders. You’ll own the stack end-to-end — from raw data in Ashby and Snowflake to clear insights that hold up in a pipeline review. You're the person who turns workforce signals into recruiting strategy — bringing a point of view. This role may be based in either our San Francisco or New York City offices. 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: - Own recruiting analytics end-to-end: Build and maintain the dashboards and reporting infrastructure Recruiting leadership relies on (funnel health, conversion rates by stage, time-to-fill, offer acceptance, pipeline aging, interview/interviewer effectiveness, and recruiter capacity) — real-time, self-serve, and trusted. - Build headcount + velocity models: Translate hiring targets into pipeline math (volume needed by stage, ETA to close, roles trending behind plan) and tie it to recruiter capacity and prioritization — so leaders see issues early and know what to do about them. - Make talent data decision-grade: Define core recruiting metrics and their definitions, document them, and build toward a single source of truth the team can align on. - Bring signal to pipeline leadership reviews: Show up to pipeline reviews and QBRs with crisp analysis and a recommendation (where the bottleneck is, what changed, what to test next), not just a slide deck. - Improve the recruiting system: Use data to spot where process, calibration, or prioritization is creating drag — and partner with Recruiting and Finance to fix it. - Use AI as leverage in your first 90 days: Use AI to accelerate query iteration, metric QA, and insight narratives (e.g., draft + test SQL approaches, anomaly checks, and concise readouts) while keeping the underlying logic and definitions clean and auditable. SKILLS YOU'LL NEED TO BRING: - Proven ability to build analytics that gets used: You’ve shipped dashboards/models that teams rely on to run real weekly decisions — not one-off reports. - Strong SQL + data modeling judgment: You can write complex queries, debug data issues, and build maintainable models/pipelines that other people can trust. - Quantitative modeling for recruiting problems: You can translate hiring stages into clear funnel math and capacity views, and you know how to stress-test assumptions. - Strategic partner instincts: You anticipate the questions leaders will ask, show up with the analysis, and can say what the data implies for decisions. - AI-fluent, with good taste: You use AI as a daily multiplier (analysis, QA, drafting narratives) and know when to rely on it vs. when to go to first principles. - Build in Notion: You’re comfortable structuring knowledge and workflows in Notion (databases, views, documentation) so your work is easy for others to find, trust, and build on. 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 or New York City, the estimated base salary range for this role is $225,000 - $275,000 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?pvs=74 and NYLL 144 https://notion.notion.site/Ashby-AI-Bias-Audit-2b0efdeead05803bbbfae159ec86c528. #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: Remote (USA) Workplace: remote Arcadia is dedicated to happier, healthier days for all. We believe that there is a better healthcare world – one powered by data. Our platform transforms complex, diverse data into a unified foundation for health, helping organizations deliver better care, boost revenue, and lower costs.   We’re a team of fiercely driven individuals committed to making healthcare more sustainable—and we’re looking for passionate people to help us get there.   For more information, visit arcadia.io.     Why This Role Is Important to Arcadia  Arcadia's data platform powers population health analytics for health plans, ACOs, and provider groups across the country. As a Lead Analytics Engineer — Data Modeling & Quality, you sit at the intersection of data quality ownership and analytical data modeling. You'll own the SQL and DBT layer that transforms raw clinical and claims data into trusted, production-grade datasets, while also serving as the quality authority for the data those models produce. This is a hybrid role — deeper SQL and DBT expertise than a traditional Data Health Professional, with a more analytical and model-focused scope than a Data Engineering role. You're less focused on pipeline infrastructure and more on the logic, shape, and trustworthiness of the data itself.   What Success Looks Like In 3 months Independently triage and resolve pipeline data quality issues Author at least one new DBT model or refactor an existing one to meet current modeling standards Understand the end-to-end pipeline from ingress through silver and gold, and be able to trace a data quality issue to its root layer In 6 months What You'll Be Doing DATA MODELING & DBT DEVELOPMENT Author, review, and maintain DBT models using Spark/Hudi from ingest through bronze and silver Help clients understand their data model, assumptions, and limitations through intentional validation Troubleshoot and fix issues, then write DBT tests to catch issues proactively Optimize SQL performance for slow-running jobs Partner with Data Engineering on table design, partition strategy, and incremental patterns DATA QUALITY OWNERSHIP Triage and classify data quality alerts, distinguishing source-level issues from transform-layer failures Design and maintain volume monitors and DQ monitors (null rate, distribution, future-date checks) Author and apply clinical DQ rules (entity volume, field coverage, LOINC coverage, referential integrity) and claims validation rules across silver and gold layers Conduct quality reviews for connector promotions — evaluating silver entity coverage, validation rule pass rates, and bronze-to-silver transformation correctness Own the ticket queue for DQ, attribution, hierarchy, and customer-specific data quality issues, writing clear customer-facing findings CROSS-FUNCTIONAL QUALITY COLLABORATION Lead data quality reviews during connector installation and promotion (UAT → PRD), including claims validation playbooks and null analysis Partner with Data Engineering on root-cause triage for errors, ingress anomalies, and silver table issues surfaced through data quality monitoring Coordinate with the Measure Implementation Team (MIT) when data quality issues affect quality measure scores Contribute to and enforce data modeling standards across teams TECHNOLOGIES Data modeling: DBT-Spark, SQL, Claude Warehousing: Amazon Redshift, Apache Hudi, AWS Athena Data quality: volume/DQ monitors, DBT tests Orchestration: Argo Workflows, Airflow Source control: Git / GitHub, PR-based review workflows Observability: Grafana, Jira Healthcare data: Claims (plan/professional/pharmacy), EHR (clinical entities), MPI What You'll Bring Education: Bachelor's or Master's degree in Computer Science, Statistics, Business, Economics, or a related field Experience: Advanced SQL: window functions, complex CTEs, aggregation patterns, performance tuning on columnar databases DBT: hands-on experience authoring models, tests, macros, and yml documentation; familiarity with incremental strategies Healthcare data literacy: working knowledge of claims data (professional, institutional, pharmacy), clinical data (EHR entities), and common quality dimensions (member months, coverage rates, null patterns) Data quality mindset: ability to differentiate source data issues from transform issues, design systematic validation checks, and communicate data quality findings clearly Skills: Clear communicator — able to translate technical findings for clients and non-technical stakeholders Strong analytical judgment — you can look at a distribution and know when something is wrong Ability to manage several projects simultaneously, leveraging AI tooling to stay organized and efficient Genuine desire to learn and apply AI tools for operational efficiency Would Love For You To Have Experience with Spark SQL and Hudi table format Familiarity with data quality monitoring tools Comfortable operating in an AI-first environment using Claude to build/verify various day-to-day workflows Exposure to population health analytics concepts: HEDIS measures, risk adjustment, value-based care metrics Python scripting for data investigation and automation Experience with Argo Workflows or similar orchestration platforms Healthcare data standards: ICD-10, CPT, NDC, LOINC, NPI What You'll Get Work alongside a talented team on some of the most complex and rewarding challenges in healthcare data Flexible, fully remote work environment with the resources and support to do your best work Exposure to senior leaders Be on the front lines of AI adoption — use cutting-edge tools to accelerate your work and shape how the team operates in an AI-first environment Make a meaningful impact on healthcare data operations by improving the quality, reliability, and trustworthiness of data that drives patient care decisions Be a part of a mission driven company that is transforming the healthcare industry Become a member of the talented, energized, diverse and purpose-driven Arcadian Community About Arcadia Arcadia.io helps innovative providers and payers across the country transform healthcare to reduce cost while improving patient health. We do this by aggregating large amounts of disparate data, applying algorithms to identify opportunities to provide better patient care, and making those opportunities actionable by physicians at the point of care in near-real time. We are passionate about helping our customers drive meaningful outcomes. We are growing fast and have emerged as a market leader in the highly competitive population health management software market and have been recognized by industry analysts KLAS, IDC, Forrester, and Chilmark for our leadership. For a better sense of our brand and products, please explore our website. Protect Yourself If you have concerns about the authenticity of a job offer or recruitment-related communication claiming to be from Arcadia, we encourage you to verify by contacting us directly at (781) 202-3600 and select option 3. For more information, visit our website. This position is responsible for following all Security policies and procedures in order to protect all PHI under Arcadia's custodianship as well as Arcadia Intellectual Properties.  For any security-specific roles, the responsibilities would be further defined by the hiring manager.

Location: Belgrade, Serbia Workplace: remote At Novakid, we’re building one of the world’s most engaging online English-learning platforms for kids. Today, we serve 100,000+ students and work with 4,000 + teachers across 15+ countries. We’ve already proven the demand. Now we’re scaling the platform, expanding AI-driven learning experiences, and rethinking how our backend should evolve for the next stage of growth. This is where you come in. About the Role Novakid is hiring a Head of Data & Analytics to lead the next stage of our analytics evolution — transforming a strong existing foundation into a modern, AI-enabled decision system that scales with the business. This is a strategic leadership role with broad scope: you'll own the analytics organization, the technology transformation, data science, and the data culture across the company. You won't be starting from scratch — you'll be accelerating a transformation already underway. What You'll Lead Analytics Strategy & Operating Model Define how data and analytics supports growth, product development, commercial performance, and operations. Shape what is self-serve, AI-assisted, automated, and expert-led. Analytics Team Leadership Lead a team of analysts embedded across product squads and business functions. Raise the bar on speed, strategic impact, and self-service enablement while keeping analysts focused on the highest-value work. AI-Powered Analytics Scale practical AI use cases: natural-language data access, AI-assisted insight generation, anomaly detection, automated reporting, and productivity tooling for analysts and stakeholders. Experimentation & A/B Testing Strengthen Novakid's experimentation culture — making it faster and easier to design, launch, measure, and learn from experiments without heavy analyst involvement at every step. Data Science Build a structured, high-impact data science capability spanning ML for business use cases, forecasting, experimentation support, AI-powered product features, and research for new learning experiences. Metric Governance & Data Foundation Drive clearer KPI ownership, stronger documentation, and a trusted semantic layer across Product, Growth, Sales, Marketing, and Finance — reducing ambiguity and conflicting interpretations. What Success Looks Like Faster turnaround on common business questions and broader stakeholder self-service A modern AI-enabled analytics capability adopted across the company A stronger experimentation practice with less dependency on analyst bandwidth Clear KPI ownership and trusted, well-documented data A well-structured data science function supporting both business and product innovation Strong executive confidence in data-driven decision-making What We're Looking For Significant leadership experience in analytics, BI, or data functions within high-growth digital businesses Proven track record transforming analytics toward scalable, self-serve, AI-enabled models Strong technical grounding in modern data stacks, cloud warehouses (we use BigQuery), BI tooling, and semantic modeling Hands-on SQL fluency and solid understanding of analytics engineering principles Experience leading or reshaping embedded analyst teams Practical, hands-on experience applying AI in analytics at scale Experience building or rebuilding a data science function spanning business support and product features What we offer… Fully remote work A chance to shape the future of AI-driven education. A fun, dynamic team that loves building innovative products.Unlimited holidays – because we trust you to deliver. Bonuses and stock options – we grow together

Location: Tunis, Tunisia; Cairo, Egypt; Casablanca, Morocco; Beirut, Lebanon About Müller's Solutions: Müller's Solutions is a leading SAP consulting company dedicated to delivering innovative and effective SAP solutions to clients worldwide. Our focus is on empowering businesses through advanced analytics and cloud technologies. Job Overview: We are seeking an experienced SAP Analytics Cloud (SAC) Consultant to work remotely. In this role, you will be responsible for designing, developing, and deploying SAP Analytics Cloud solutions to enable data-driven decision-making for our clients. You will collaborate with cross-functional teams to gather business requirements, create dashboards, perform data modeling, and deliver actionable insights. Requirements Requirements: Bachelor's degree in Computer Science, Data Analytics, Information Systems, or a related field. Minimum 3 years of experience working with SAP Analytics Cloud. Proficiency in data modeling, visualization, and dashboard creation using SAP Analytics Cloud. Experience integrating SAP Analytics Cloud with various SAP and non-SAP data sources. Strong analytical and problem-solving skills. Excellent communication skills and the ability to collaborate effectively in a remote work environment. Familiarity with data preparation, ETL, and data governance best practices. SAP Analytics Cloud certification is a plus.

Location: Limassol, Cyprus At PayDepot we build several B2B and B2C fintech products, including payment infrastructure, crypto services and financial platforms. We are growing rapidly and are looking for a Data Analyst / Analytics Engineer who will help us turn data into actionable insights and improve the way our teams work with data. This is a hands-on role combining data analysis, SQL, reporting and data automation . You will work closely with Product, Engineering and Business teams and gradually take ownership of data pipelines, models and reporting workflows. What you will do Design, build and maintain data pipelines from raw data to BI Build and maintain data models and data marts Monitor data quality, consistency and integrity across systems Work closely with Product, Engineering and Business teams to define analytics requirements Automate recurring reporting and data workflows What we expect 2+ years of experience in Data Analytics, BI, Data Engineering or a similar role Strong SQL knowledge, familiarity with Postgres & Redshift is a plus Sufficient Python knowledge for data processing and automation Understanding of data modelling and data warehouse concepts Experience working with data pipelines or automated data workflows Strong analytical thinking and attention to detail Ability to work independently and communicate clearly with different teams Fluent English Nice to have Experience with ETL/ELT tools or frameworks Experience with dbt, Airflow or similar tools Experience with cloud data platforms such as AWS, GCP or Azure Experience in fintech, banking, payments or crypto products Experience with product analytics and event-based data Experience improving data quality and reporting processes STEM degree or equivalent technical background What we offer Full relocation support and working visa Competitive salary based on experience Modern office in Limassol Flexible days off when you need them What awaits you Working in a small and fast-paced Scrum team A practical role where you can influence how we work with data No bureaucracy - we focus on practical solutions and common sense Pleasant colleagues and a healthy internal culture A non-toxic environment with respect for work-life balance (we turn off Slack during vacations)

О РОЛИ Tonkeeper ищет Senior-аналитика для управления финансовой аналитикой по всему портфелю продуктов (Tonkeeper и TON Wallet). Ваша ключевая цель — создание прозрачной системы отчетности, автоматизация сверок между ончейн-данными и внутренними записями, а также прямое взаимодействие с C-level менеджментом (CFO/CEO). ОСНОВНЫЕ ЗАДАЧИ — Лидирование финансовой аналитики: DEX-свопы, крипто-финансовые продукты, покупки активов. — Построение и оптимизация dbt-моделей и ETL-процессов для финансовой отчетности. — Автоматизация отчетности до формата «1-click» и сверка данных (Blockchain vs Internal records). — Координация работы с внешними аудиторами по вопросам финансовой аналитики. — Презентация аналитических выводов и инсайтов руководству компании. ТРЕБОВАНИЯ К КАНДИДАТУ — 5+ лет опыта в аналитике данных или финансов (преимущественно в FinTech/Crypto). — Экспертное владение SQL и понимание принципов работы DWH (ClickHouse/Airflow). — Финансовое образование или релевантный опыт в крипто-индустрии. — Свободный английский (B2–C1) для коммуникации с внешними стейкхолдерами. — Уверенная работа с Excel/Google Sheets и базовое понимание блокчейн-технологий. БУДЕТ ПЛЮСОМ — Опыт работы с Python (Pandas) для финансового моделирования. — Практические навыки работы с dbt. — Глубокое понимание метрик: LTV, TVL, Gross Margins, Revenue vs Cash Flow. УСЛОВИЯ РАБОТЫ — Компенсация медицинских расходов и предоставление необходимого оборудования. — Доступ к передовым AI-моделям через внутренние сервисы. — Отпуск 20 рабочих дней + 11 дополнительных Day Off + 14 дней оплачиваемого больничного. — Доступ к внутренним конференциям, курсам английского и корпоративным ивентам.

О ПРОЕКТЕ Мы строим передовую аналитическую платформу на базе AI для экосистемы Solana. Наша система обрабатывает миллионы транзакций в реальном времени, предоставляя трейдерам и институционалам глубокую аналитику: Wallet Intelligence (скоринг поведения), Token Health (ликвидность, манипуляции), детектирование аномалий (фрод, rug pull) и предиктивные прогнозы на базе ML. О ПОЗИЦИИ (ABOUT THE ROLE) Вам предстоит проектировать и внедрять интерфейсы для систем с низкой задержкой (low-latency). Основной фокус — визуализация сложных потоков данных, создание умных алертов и аналитических дашбордов, которые работают непрерывно в распределенной среде. ВАШИ КЛЮЧЕВЫЕ ЗАДАЧИ — Разработка: Создание масштабируемых веб-приложений на React/Next.js и TypeScript. — Real-time системы: Реализация UI-паттернов для живых данных (WebSockets, SSE, оптимизированный поллинг). — Визуализация: Разработка переиспользуемых компонентов для графиков, таблиц, фильтров и таймлайнов. — Оптимизация: Работа с производительностью для часто обновляемых тяжелых датасетов (виртуализация, мемоизация). — Инфраструктура: Участие в развитии дизайн-системы и тесное взаимодействие с бэкенд-командой по части API-контрактов. — Качество: Проработка состояний кэширования, обработки ошибок и обеспечение кроссбраузерности. ТРЕБОВАНИЯ К КАНДИДАТУ — Стек: Уверенное владение JavaScript/TypeScript, React и современным Frontend-инструментарием. — Опыт: Подтвержденный бэкграунд в создании Dashboard-систем или приложений с высокой плотностью данных. — Технологии: Опыт интеграции REST API и эффективного управления состоянием на стороне клиента. — Performance: Глубокое понимание оптимизации (lazy loading, memoization) и работы с Tailwind / CSS Modules. — Soft Skills: Способность работать автономно и полностью «владеть» фичами от идеи до продакшена.

Location: Singapore, Singapore OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. 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 team: The OKX Data Engineering team is responsible for the whole data scope of OKG, from techincal selection, architecture design, data ingestion, data storage, ETL, data visualization to business intelligence and data science. The team has end-to-end ownership of most of the data at OKx throughout the whole data lifecycle including data ingestion, data ETL, data warehouse and data services.  As a data engineer of the team, you will work with the team to leverage data technologies to empower evidence-based decision-making and improve the quality of the company's products and services. Responsibilities: Design, build, and maintain analytics-ready Data Marts using best-practice dimensional modeling (star/snowflake schemas) Partner with analytics and business teams to understand requirements and deliver trusted, well-documented datasets Design and build resilient and efficient data pipelines for both batch and real-time streaming data Architect and design data infrastructure on cloud using industry standard tools Ensure data integrity and scalability through enforcement of data standards. Improve data validation and monitoring processes to proactively prevent, identify and resolve issues Define, understand, and test external/internal opportunities to improve our products and services Requirements: Bachelor’s Degree in Computer Science and at least 4+ years of experience in Data Engineering with significant focus on Data Marts Solid Experience with data processing tools such as Spark and Flink Solid Experience implementing batch and streaming data pipelines In-depth knowledge of both SQL and NoSQL databases, including performance tuning and troubleshooting Be proficient in SQL, familiar with advanced SQL features such as window functions, aggregate functions and creating scalar functions/user-defined functions Proven successful and trackable experience in full end-to-end data solutions involving data ingestion, data persistence, data extraction and data analysis Preferred Qualifications: Experience with Data Analysis platforms like Datawind Experience in Big D ata tools such as Ali Cloud DataWorks, MaxCompute, AWS DataBricks, Hadoop, Hive, Spark and HBase 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: Yerevan, Armenia Description We are seeking a highly analytical and data-driven Digital Analytics Manager to lead our digital tracking, performance measurement, and insight-generation efforts across products and regions. This role will be responsible for ensuring reliable data infrastructure, analyzing digital user journeys, evaluating marketing performance, and producing actionable insights that directly impact acquisition, engagement, and retention strategies. The ideal candidate will play a vital role in shaping a data-first marketing culture and enabling smarter decision-making across all digital touchpoints. Responsibilities Own and manage digital analytics tools such as GA4, GTM, Google Search Console, Yandex Metrica, Looker Studio, etc. Build and maintain scalable tracking infrastructure across platforms (casino, sportsbook, fast games, mobile, web) Define and implement tagging strategies, UTM structures, event tracking, and data layers in collaboration with developers Monitor and improve accuracy of user behavior tracking, conversion funnels, traffic sources, and performance attribution Analyze campaign, promotion, and tournament performance by evaluating metrics such as bet count, user count, GGR, bounce rate, CPA, LTV, retention Design and automate dashboards and reporting solutions for different department Conduct behavioral analysis to support segmentation, targeting, lifecycle optimization, and user experience improvements Collaborate with teams to support A/B tests, UX experiments, and feature adoption tracking Benchmark competitor and market data to inform marketing initiatives and product strategies Ensure full compliance with data protection regulations (GDPR/local laws) across all analytics implementations Requirements Bachelor's or master's degree in Marketing, Data Analytics, Statistics, or a related field Minimum 2–4 years of hands-on experience in digital/web analytics or marketing analytics roles Advanced proficiency with GA4, GTM, SQL, Looker Studio, BigQuery, or similar tools Experience with behavioral analytics platforms Strong understanding of marketing attribution models, funnels, cohort analysis, user segmentation, and retention metrics Experience building automated dashboards and reports for cross-functional teams Familiarity with digital marketing performance metrics (CTR, CPA, ROI, FTDs, NGR, etc.) Excellent collaboration skills with both technical (developers) and non-technical (marketers) stakeholders Knowledge of affiliate tracking, mobile attribution, or fraud detection tools is a strong plus

Location: Russia; Serbia; Georgia; Belarus We are seeking a highly skilled and strategic Head of Financial Modelling and Product Analytics to lead the design, development, and refinement of advanced financial and credit card models. This role plays a critical part in driving long-term profitability, optimizing business performance, and supporting strategic decision-making across the organization. The ideal candidate will have deep expertise in financial modelling and performance management, along with a strong track record of supporting business growth and regional expansion. Key Responsibilities Lead the development and enhancement of advanced financial and credit card models to support strategic decisions and long-term profitability. Provide analytical support for business strategy, regional expansion, and branch performance optimization. Oversee performance analytics, including reporting, productivity tracking, profitability analysis, and regional budget management. Drive business navigation through business case preparation, pilot execution, implementation tracking, and post-launch assessments. Develop pricing and profitability models across sub-segments, including LTP-based strategies, to maximize income. Partner with senior leadership to deliver actionable, data-driven insights that inform company-wide strategic initiatives and growth. Requirements 5+ years of experience in financial modelling, FP&A, or related analytical roles, with at least 3 years in a leadership position. Proven experience in financial planning and modelling, ideally within banking, fintech, or card services industries. Bachelor's degree in Finance, Accounting, Economics, or a related field (Master’s degree preferred). Strong proficiency with Excel, forecasting techniques, and data analysis tools such as SQL. Excellent analytical, problem-solving, and data interpretation skills, with a keen attention to detail. Well developed communication skills, team management skills. Strong communication and presentation skills with the ability to translate complex financial concepts for diverse stakeholders. Ability to work independently and manage priorities in a fast-paced, collaborative environment. Preferred Qualifications Experience supporting regional expansion and optimizing branch-level performance. Hands-on expertise in preparing business cases, supporting pilots, and conducting post-control assessments. Familiarity with statistical and data analytics tools such as Python or R. Advanced certification such as CFA, CPA, or MBA. Demonstrated ability to influence senior leadership and drive profitability initiatives. Benefits Flexible, fully remote full-time position. The opportunity to work with a global, innovative fintech company shaping the future of digital banking. Engaging, challenging projects with a direct impact on business performance. A collaborative and supportive team environment with room for professional growth.

Location: Dusseldorf, Germany Our partner, a well-known international corporation, is seeking a Data Analytics Tech Lead (m/f/d) to join their team. This is a full-time position in the Düsseldorf metropolitan area, Germany (partial work from home is possible). Relocation from abroad is possible. As the Tech Leader, you'll play a key role in managing and developing a talented data analytics team of 7 individuals. Your primary focus will be on solving complex technical data challenges to drive the company toward its business objectives. Your Responsibilities: Lead the Data & Analytics team, managing them in accordance with agile values and principles, ensuring efficient project delivery and optimal performance. Foster the growth and development of your team members, and closely collaborate with a Product Owner and Chapter Leads. Strike a balance between people management responsibilities and hands-on technical tasks, ensuring a 50/50 split to drive both team cohesion and project success. Taking over one of the squad roles: Data Scientist, Data Engineer, Product Owner, Frontend Expert, or Machine Learning Engineer. Collaborate with business partners to devise innovative strategies and solutions, leveraging cutting-edge techniques and tools to meet and exceed business objectives. Engage in strategic collaborations with stakeholders to identify opportunities for process optimization and technological advancement. Job Requirements: Bachelor's degree in Computer Science or a related field. Minimum of 5 years of leadership experience and/or project management in data & analytics, demonstrating your ability to lead and inspire teams towards achieving the company’s goals. Extensive experience in one of the following roles: Data Scientist, Data Engineer, Product Owner, Frontend Expert (Tableau), or Machine Learning Engineer. Proven track record of working in large enterprises, showcasing your ability to thrive in complex organizational structures and deliver results at scale. Extensive experience implementing agile values and principles, coupled with a passion for driving innovation and continuous improvement. Hands-on experience working with Microsoft Azure, Databricks, and Apache Spark. Fluency in English at a C1 level, enabling seamless communication and collaboration in an international setting. Benefits: Comprehensive relocation support for you and your family, ensuring a smooth transition to your new role and surroundings. Relocation package to facilitate your move and ease any initial expenses. Hybrid work model, offering you the flexibility to balance your professional and personal commitments. Future-oriented training and development opportunities, empowering you to stay ahead in an ever-evolving industry. Corporate health management program, prioritizing your well-being and ensuring you thrive both in and out of the workplace. If you are interested and believe you fit the requirements to join the team as a Data Analytics Tech Lead (m/f/d) – apply now by sending us your CV.

Location: Dubai, United Arab Emirates About Müller's Solutions: Müller's Solutions is a premier SAP consulting firm focused on helping organizations leverage the power of SAP technologies to drive business performance. Our dedicated team is committed to delivering innovative, cutting-edge solutions tailored to meet our clients' unique requirements, enabling them to excel in a data-driven world. Job Overview: We are currently seeking an experienced SAP Analytics Cloud (SAC) Lead for a 3-month contract. In this leadership role, you will be responsible for overseeing the implementation of SAP Analytics Cloud solutions, ensuring that they meet the analytical and reporting needs of our clients. You will lead a team of consultants and work closely with business stakeholders to deliver comprehensive analytics capabilities that drive informed decision-making. Requirements Requirements: Bachelor's degree in Computer Science, Business Analytics, Information Systems, or a related field. Minimum of 5 years of experience working with SAP Analytics Cloud (SAC), with a strong emphasis on leadership and project management. Proven expertise in implementing and optimizing SAC for analytics, reporting, and visualization. Strong knowledge of data modeling, dashboarding, and storytelling within SAP Analytics Cloud. Experience with integrating SAC with SAP BW, SAP HANA, and other data sources. Demonstrated ability to lead a team of consultants and foster collaboration across departments. Excellent verbal and written communication skills for effective stakeholder engagement and requirements gathering. Strong analytical skills to evaluate business processes and provide actionable insights. Ability to develop and maintain strong relationships with clients and stakeholders. SAC certification is highly preferred. Willingness to adapt to changing project needs and a fast-paced environment.

Location: Home based - EMEA Our Talent Science team ensures that we follow an objective, scientifically rigorous and efficient process to select the very best new colleagues regardless of location, culture or background. With a data centric approach, we examine hiring data to create talent analytics and business intelligence to fuel our decision making on hiring. We leverage data to enable evidence-based decisions, weaving behavioural science throughout our selection process. Working closely with our Hiring Leadership team, who ultimately lead on hiring, our team ensures that hiring decisions are being made in the right way and that our hiring model supports the selection of world class talent. We are looking for a set of leaders to support our team growth and to help drive our strategic objective outcomes. This role will report directly to the Global Head of Talent Science. To be successful you will bring: Analytical tooling to coach and lead the team Experience of leading roadmaps and projects Experience of leading others to achieve exceptional results Location: These are remote based positions that are available across the globe. The role entails Leading a team to deliver against a set of strategic objectives, with focus on product design and implementation of our roadmap. Cracking the code on hiring, connecting performance outcomes back to selection methods to ensure we identify and progress exceptional talent. 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 people based subject. 7+ years experience in a Talent function, with a deep appreciation of recruitment and selection and analytics that drive decision making. Proven analytical ability to dissect and analyse data using SQL. Alternatively use Python, R, SPSS, or, possess the ability to run lookups, indexing, matching formulae with an appetite to learn SQL. Exposure to BI tools (Superset is our platform). Exemplary ability to lead and drive others to deliver, including exceptional project management and coaching to lead roadmap execution and delivery. Exceptional written and spoken English with strong presentation skills for a senior audience. Sincere personal motivation aligned with our mission. International travel 2-4 times a year for company events up to two weeks long. In addition we expect that you will match our values, by being: Precise, taking care to deliver correctness and clarity. Reliable, delivering high quality work that builds trust and confidence. Accessible, collaborating to build products and systems that are usable. Adroit, blending enthusiasm, knowledge, adaptability, style and character. Nice-to-have skills Advanced psychometric skills. A deep understanding of human behaviour, in particular intrinsic motivation. Experience of using Superset and/or Greenhouse What we offer colleagues We consider geographical location, experience, and performance in shaping compensation worldwide. We assess performance and revisit compensation twice annually to ensure we recognize outstanding colleagues. 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 2,000USD per year Bi-annual compensation review Company recognition rewards 40 days annual leave per annum, including public holidays and our All Company holiday periods Maternity and paternity leave Team Member Assistance Program & Wellness Platform Opportunity to travel to new locations to meet colleagues, with Priority Pass for lounge access About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. 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. We are founder-led, profitable, and growing. Powered by worldwide distributed collaboration since our inception in 2024, we believe tech and business leadership can emerge anywhere. We have no central headquarters. Most of us work from home, but we are exceptionally disciplined about this. We have very high expectations of all colleagues, and are champions of excellence. Working here is a step into the future and will challenge you to think differently, work smarter, learn new skills, and raise your game. 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.

Location: Dubai, United Arab Emirates About Müller's Solutions: Müller's Solutions is an industry-leading SAP consulting firm dedicated to delivering innovative solutions that empower businesses to maximize their SAP investments. Our team of experienced professionals is committed to providing tailored services that drive efficiency and effectiveness in data management and analytics. Job Overview: We are seeking a skilled SAP Analytics Cloud (SAC) Consultant for a 3-month contract that could be extended based on project needs. In this role, you will be responsible for implementing and supporting SAP Analytics Cloud solutions to enhance reporting, visualization, and data analysis capabilities for our clients. You will collaborate closely with business stakeholders to gather requirements and create meaningful insights. Requirements Requirements: Bachelor's degree in Computer Science, Data Science, Information Systems, or a relevant field. A minimum of 3 years of experience working with SAP Analytics Cloud (SAC) or similar BI tools. Hands-on experience with SAC for data modeling, storytelling, and dashboard creation. Experience in connecting SAC with various SAP and non-SAP data sources. Demonstrated experience in Integrated Financial Planning (Standard). Strong understanding of best practices for visualization, reporting, and analytics. Experience integrating SAP Analytics Cloud with SAP BW, SAP HANA, or other data sources. Knowledge of data preparation, ETL processes, and data transformation best practices. Excellent analytical and problem-solving skills to evaluate business requirements and provide effective solutions. Strong communication skills to effectively interface with clients and gather requirements. Ability to work independently and collaboratively in a fast-paced environment. SAC certification is a plus but not mandatory.

Location: Riyadh, Saudi Arabia Müller's Solutions is seeking a talented Data Analytics Specialist to join our dynamic team. In this role, you will be responsible for analyzing complex data sets to provide actionable insights that drive business strategy and decision-making. You will work closely with various departments to enhance data-driven practices and improve overall organizational performance through advanced analytical techniques. Responsibilities: Collect, process, and analyze large data sets from various sources to identify trends and patterns. Create and maintain dashboards and reports to visualize data and communicate results effectively. Collaborate with cross-functional teams to understand their data needs and provide analytical support. Model data using statistical methods to forecast future trends and outcomes. Develop and implement data collection and analysis methodologies. Conduct ad-hoc analyses as requested, providing insights that inform business decisions. Stay updated on industry trends and best practices in data analytics. Train team members on data analysis tools and techniques to enhance data literacy across the organization. Requirements Bachelor's degree in Data Science, Statistics, Mathematics, or a related field. More than 5-8 years experience. AI and Generative AI experience is a MUST . Proven experience as a Data Analytics Specialist or in a similar role. Strong proficiency in data analysis tools and programming languages such as SQL, Python, or R. Experience with data visualization tools (e.g., Tableau, Power BI) to develop reports and dashboards. Excellent analytical and problem-solving skills with attention to detail. Strong communication skills to effectively convey complex data insights to non-technical stakeholders. Ability to work independently and as part of a team in a fast-paced environment. Familiarity with statistical analysis and modeling techniques. Knowledge of data governance principles and practices is a plus. Benefits Why Join Us: Opportunity to work with a talented and passionate team. Competitive salary and benefits package. Exciting projects and innovative work environment.

Location: London, England Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? The Research, Analytics & Data Science (RAD) team at Fin use data and insights to drive evidence based decision-making. We're a team of data scientists and product researchers who use data — both big and small — to unlock actionable insights about our customers, our products and our business. We generate insights that build customer empathy, drive product strategy and shape products that deliver real value to our customers. If you get really excited about asking the right questions, exploring patterns in data and surfacing actionable insights that drive strategic decisions, then this role is for you. Data Scientists in RAD partner with teams across R&D to help Fin make sense of our users, our products and our business, using metrics and data. This role will enable you to drive key data projects that directly impact our customers and millions of end users who communicate via our messaging platform daily. What will I be doing? You’ll partner with product teams to help them identify important questions and answer those questions with data You’ll work closely with product managers, designers and engineers to develop key product success metrics, to set targets, to measure results and outcomes, and to size opportunities You’ll design, build and update end-to-end data pipelines, working closely with stakeholders to drive the collection of new data and the refinement of existing data sources and tables. You’ll partner closely with product researchers to build a holistic understanding of our customers, our products and our business. You’ll influence our product roadmap and product strategy through experimentation, exploratory analysis and quantitative research You’ll build and automate actionable models and dashboards You’ll craft data stories and share your findings and recommendations across R&D and the broader company You’ll drive and shape core RAD foundations and help us improve how the RAD org operates What skills do I need? 5 + years experience working with data to solve problems and drive evidence-based decisions Excellent SQL skills and experience of  applying analytical and statistical approaches to problem solving Proven track record of initiating and delivering actionable analysis and insights that drives tangible impact with minimal supervision Excellent communication skills (technical and non-technical) and a focus on driving impact Strong growth mindset and sense of ownership. Innate passion and curiosity Experience with a scientific computing language (such as R or Python) Bonus skills & attributes Experience with BI/Visualization tools like Tableau, Superset and Looker Experience with data modeling and ETL pipelines Experience working with product teams Experience leveraging AI tools to boost efficiency and creativity across the data science workflow — from ideation and coding to analysis and communication #LI-Hybrid Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Location: Home based - Worldwide 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 1000+ colleagues in 70+ countries and very few roles based in offices. 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. We are hiring Python and Kubernetes Specialist Engineers focused on Data, Workflows, AI/ML and Analytics Solutions to join our teams building open source solutions for public cloud and private infrastructure. As a software engineer on the team, you'll collaborate on end-to-end data analytics and MLOps solutions composed of popular, open-source, machine learning tools, such as Kubeflow, MLFlow, DVC, and Feast. You may also work on ETL, data governance and visualization tools like Apache SuperSet, dbt, workflow orchestration tools such as Airflow and Temporal, or data warehouse solutions such as Apache Trino, or ClickHouse. These solutions may be run on servers or on the cloud, on machines or on Kubernetes, on developer desktops, or as web services. We serve the needs of individuals and community members as much as the needs of our Global 2000 and Fortune 500 customers; we make our primary work available free of charge and our Pro subscriptions are also available to individuals for personal use at no cost. Our goal is to enable more people to enjoy the benefits of open source, regardless of their circumstances. Location: This initiative spans many teams that are home-based and in multiple time zones. We believe in distributed collaboration but we also try to ensure that colleagues have company during their work hours! Successful candidates will join a team where most members and your manager are broadly in the same time zone so that you have the benefits of constant collaboration and discussion. What your day will look like Develop your understanding of the entire Linux stack, from kernel, networking, and storage, to the application layer Design, build and maintain solutions that will be deployed on public and private clouds and local workstations Master distributed systems concepts such as observability, identity, tracing Work with both Kubernetes and machine-oriented open source applications Collaborate proactively with a distributed team of engineers, designers and product managers Debug issues and interact in public with upstream and Ubuntu communities Generate and discuss ideas, and collaborate on finding good solutions What we are looking for in you Professional or academic software delivery using Python Exceptional academic track record from both high school and university Undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path Confidence to respectfully speak up, exchange feedback, and share ideas without hesitation Track record of going above-and-beyond expectations to achieve outstanding results Passion for technology evidenced by personal projects and initiatives The work ethic and confidence to shine alongside motivated colleagues Professional written and spoken English with excellent presentation skills Experience with Linux (Debian or Ubuntu preferred) Excellent interpersonal skills, curiosity, flexibility, and accountability Appreciative of diversity, polite and effective in a multi-cultural, multi-national organisation Thoughtfulness and self-motivation Result-oriented, with a personal drive to meet commitments Ability to travel twice a year, for company events up to two weeks long Additional skills that would be nice to have The following skills may be helpful to you in the role, but we don't expect everyone to bring all of them. Proven track record of building highly automated machine learning solutions, data pipelines, or orchestrating workflows for the cloud. Hands-on experience with machine learning libraries, or tools. Experience with container technologies (Docker, LXD, Kubernetes, etc.) Experience with public clouds (AWS, Azure, Google Cloud) Working knowledge of cloud computing Passionate about software quality and testing Experience working on an open source project 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 pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since its inception in 2004.​ Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. 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