Вакансии

— Восстановление бизнес-логики по коду и данным; — Моделирование доменов (DDD), бизнес-процессов и взаимодействия сервисов;

Location: Remote Workplace: Remote ABOUT US At Eneba, we're building an open, safe, and sustainable marketplace for the gamers of today and tomorrow. With over 20 million active users and counting, our marketplace brings together gamers from around the world, providing a trusted, accessible, and secure platform for discovering and purchasing digital products. We're proud of what we've achieved so far, but we're just getting started. Join us as we continue to scale, expand our product portfolio, and shape the future of gaming marketplaces. ABOUT THE TEAM Behind every great product is a team dedicated to keeping it safe. At Eneba, our Fraud & Risk Operations team plays a critical role in protecting our marketplace, maintaining user trust, and ensuring secure and fair transactions across our products. We're looking for a Fraud Analyst to take ownership of fraud detection and prevention for one of our products. You'll identify suspicious patterns, investigate emerging risks, develop effective countermeasures, and continuously improve our fraud prevention processes. If you're analytical, proactive, and enjoy solving complex problems while making a measurable impact, we'd love to hear from you.   RESPONSIBILITIES - Take full ownership of fraud detection and prevention for one of Eneba's products, from identifying risks to implementing solutions. - Analyze large datasets to identify fraud patterns, anomalies, and emerging attack vectors. - Design, implement, and continuously optimize dynamic fraud detection rules that scale with the business. - Monitor and improve false positive rates, balancing effective fraud prevention with conversion and customer experience. - Analyze conversion, rejection, and verification drop-off rates to identify opportunities for improvement. - Develop and maintain fraud detection logic, alerts, and workflows that support Fraud Specialists in their daily operations. - Collaborate with Product, Commercial, Data, and Engineering teams to strengthen fraud prevention and verification processes. - Track fraud trends and key risk indicators, translating findings into clear, actionable recommendations. - Take accountability for decisions and outcomes, continuously refining fraud prevention strategies based on results.   REQUIREMENTS - Proven experience in fraud analysis, payments risk, or risk management, with clear ownership over outcomes. - Experience writing and monitoring dynamic fraud risk rules. - Effective communication skills, able to explain complex topics in simple words adjusted for different stakeholder groups. - Solid understanding of fraud patterns, user behavior, and KRIs. - Confidence in making data-backed decisions and owning the impact of those decisions. - Strong problem-solving and critical thinking skills. - Full professional proficiency in English. PREFERRED, BUT NOT REQUIRED - Experience working with SQL to analyze datasets and investigate fraud patterns. - Previous experience in fintech, payment processing, marketplaces, or high-growth product companies. - Familiarity with analytics platforms such as Databricks and Mixpanel. - Experience with Know Your Customer (KYC) verification processes. - Experience working in international, multi-market environments.   WHAT IT'S LIKE TO WORK AT ENEBA - Make an impact by helping scale a unique product and contribute to a growing global gaming marketplace. - Opportunity to participate in Eneba's Stock Options program, subject to eligibility. - Access to applicable performance-based bonuses and referral programs. - Benefit from a personal learning budget, regular feedback, and clearly defined development and progression opportunities. - Take advantage of paid volunteering opportunities, where eligible. - Enjoy additional paid time off, where included in your engagement terms.   READY TO JOIN US? We'd love to learn more about you! Please submit your CV in English. To learn how we handle your personal data during recruitment, please review our Candidate Privacy Notice https://www.eneba.com/candidate-privacy-notice.

• 4–5+ лет в роли аналитика данных. • Опыт именно в Pharma — обязателен.

Location: Worldwide; Poland; Serbia; Georgia; Armenia Social Discovery Group (SDG) is a group of social discovery companies. SDG solves the problems of loneliness, isolation, and disconnection - transforming virtual intimacy into the new normal. SDG’s products redefine the way people interact and connect with one another. Our portfolio includes social entertainment platforms designed to connect people online across different cultures and regions of the world. We bring together a team of like-minded people and IT professionals who specialize in creating and developing globally impactful social discovery products. Our international team of digital nomads works remotely from all over the world. We’re proud to be a two-time “Great Place to Work” winner (USA & Japan, 2024–2025) and a Top-5 Company for Work-From-Anywhere Jobs (FlexJobs, 2025). We are looking for a Lead Marketing Analyst. Your main tasks will be: Owning marketing analytics processes, reporting frameworks, dashboards, and data quality standards to ensure reliable and actionable insights across the organization; Monitoring key marketing and business performance metrics, identifying growth opportunities and performance issues, conducting root cause analysis, and providing data-driven recommendations; Designing, prioritizing, and evaluating marketing experiments and A/B tests to optimize acquisition, retention, engagement, and overall marketing efficiency; Developing, maintaining, and improving analytical and predictive models used in marketing decision-making, including attribution, forecasting, segmentation, and budget allocation models; Driving continuous improvement initiatives by identifying optimization opportunities, automating analytical workflows, and implementing best practices in marketing measurement and analytics. We expect from you: Higher education in a technical, mathematical, or economics-related field; Strong proficiency in SQL; Advanced Google Sheets skills, including confident use of pivot tables; Strong knowledge of statistics and A/B testing methodologies; Hands-on experience in marketing analytics and predictive modeling; English proficiency at B2 level or higher . Nice to have: Experience with Python or R for data analysis and statistical modeling; Experience building automated reporting and analytics workflows; Experience with marketing experimentation frameworks and incrementality measurement; Experience working with attribution models, paid acquisition channels, and advertising platforms (e.g. Google Ads, Meta Ads). What do we offer: REMOTE OPPORTUNITY to work full time; 7 wellness days per year (time off) that can be used to deal with household issues, to lie down and recover without taking sick leave; Bonuses up to $5000 for recommending successful applicants for positions in the company; Full payment for professional training, international conferences and meetings; Corporate discount for English lessons; ​ Health benefits. If you are not eligible for Corporate Medical Insurance, the company will compensate up to $1000 gross per year per employee according to the paychecks. This can be spent on self-purchase of health insurance, or on doctor’s fees for yourself and close relatives (spouse, children); ​ Workplace organization. The company provides all employees with an equipped workplace and all the necessary equipment (table, armchair, wifi, etc.) in the locations where we have offices or co-working. In the other locations, the company provides reimbursement of workplace costs up to $ 1000 gross once every 3 years according to the paychecks. This money can be spent on the rent of the co-working room, on equipping the working place at home (desk, chair, Internet, etc.) during those 3 years; Internal gamified gratitude system: receive bonuses from colleagues and exchange them for time off, merch, team building activities, massage certificates, etc. Sounds good? Join us now! The initial pay level or pay range for this role will be shared with candidates during the recruitment process and before the commencement of employment.

4–5+ лет в роли аналитика данных. Опыт именно в Pharma-обязателен.

Location: Москва Мы ищем Data Analytic в команду Интеллектуальные платформенные решения, кто готов с нами погрузиться в процесс и найти ответы на вопросы: * как оценить внедрение AI в процессы и продукты Банка; * почему не все эксперименты одинаково полезны *  другие интересные челленджи, которые позволят вам покорить новые профессиональные высоты, а нам вместе с вами максимизировать доход Банка. Первый этап отбора на эту вакансию – общение с AI-рекрутером. После отклика ждите сообщение от него в Сберчате, диалог займёт примерно 10 минут. Задача AI-рекрутера — уточнить недостающие детали и ускорить рассмотрение вашей кандидатуры. AI-рекрутер только начинает свой путь, поэтому просим относиться с пониманием. Ваш опыт и участие помогут сделать его удобным и полезным для всех! Обязанности * проверять гипотезы, формировать дизайна экспериментов (АВn-тестов) и подводить итоги АВn-тестов и интерпретировать их результаты * расчет эффектов от внедрения AI, проведение мониторинга и т.д. * написание и модернизация скриптов для автоматизации текущего функционала * визуализация данных * ведение реестра AI-инициатив и базы данных портфеля для бизнес-планирования * работа с ad-hoc запросами и аналитикой * взаимодействие с контрагентами/заказчиками. Требования * хорошее знание математической статистики и теории вероятности * профильное высшее образование * опыт работы аналитиком данных от 3 лет * продвинутое знание SQL * умение обрабатывать и визуализировать данные с помощью Python * опыт проведения исследований, проверка гипотез и их оценка * навыки работы с генеративными AI-моделями. Условия * комфортный современный офис рядом с м. Кутузовский проспект * формат работы – офис * ежегодный пересмотр зарплаты, годовая премия * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для * профессионального и карьерного развития * расширенный ДМС, льготное страхование для семьи и корпоративная * пенсионная программа * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * подписка Прайм с возможностью совместного использования на трёх близких.

Location: Bangalore, India Workplace: Hybrid Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance. Analyst Location: Hybrid - Bangalore, India (2 Days per week in Office) This role serves as a critical bridge between the Sales, Product, and Analyst teams, ensuring data-related requests are accurately submitted, properly prioritized, and resolved in a timely manner. As the first point of contact for APAC data validation inquiries, you will own the triage process, represent the team on customer calls, and champion internal alignment on both public and proprietary data across the APAC digital advertising market. As part of a collaborative global team, this role requires flexibility to participate in weekly cross-timezone meetings. This is a hybrid position with 2 days per week in office. Please note: this role is offered on a B2B contractor basis, directly with Sensor Tower's US entity, and not on Sensor Tower's Indian company payroll. This is how our entire India team currently operates. What You Will Do: - Assess incoming data related tickets for completeness, clarity, and accuracy from go to market teams. - Review and Triage Data Validation Tickets to respective Lead Analysts. - Flag and redirect any non-actionable or duplicate requests. - Develop and maintain a ticket prioritization framework to help Lead Analysts and Data Science teams focus on high-impact issues. - Collaborating with Lead Analysts to systematically compare and align public and internal datasets. - Proactively participating in APAC sales calls to address data related insights and surface actionable product feedback. - Support cross-functional initiatives between the Sales, Product, Analysts and Data Science teams for the APAC region. - Provide feedback and insights to improve internal data tools and customer experience. - Monitor trends in the mobile app and advertising space to identify compelling and actionable insights for current and prospective customers. Qualifications: - 3+ years of experience in advertising technology, or a related field with exposure to mobile app advertising ecosystems. - Mandatory: hands-on experience working with the India market and Indian brands specifically, including familiarity with local channel mix, CPMs, and category spend volumes. - Familiarity with SQL for data querying and validation - Comfortable working with sales teams and customers to explain data insights and manage multiple tasks in possible time-sensitive situations - Ability to research and synthesize market trends, competitor data, and industry benchmarks. - Experience in reviewing and interpreting public financial statements - Knowledge of digital advertising and mobile marketing KPIs (impressions, CPM, CTR, ROAS) - Familiarity with APAC markets, particularly India, Southeast Asia, and/or Japan Fraud warning: It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying. To all recruitment agencies: Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

— 5+ years of experience in Product Analytics, Growth Analytics, Data Analytics, or similar roles. — Strong SQL skills and experience analyzing product, behavioral, or transactional data.

Location: Paris Workplace: Hybrid ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. Role Summary We’re seeking highly motivated Data Quality Analysts with strong analytical skills and a keen eye for detail to join our Human Data Annotation team within the Science organisation. This is a hybrid quality reviewing and tooling role: - you'll spend the majority of your time reviewing and auditing Finance (any subdomain) annotations against rubrics to ensure data used for training and evaluating AI models meets the highest standards of quality and efficiency. - and the remainder building, maintaining, and troubleshooting annotation operations. You'll collaborate closely with the annotators, technical program manager, and science stakeholders, and contribute to refining the guidelines and processes that shape how our data is produced. Key Responsibilities - In collaboration with the technical team, review/audit annotations, clarify requirements, share insights, surface systemic issues, edge cases, and gaps in guidelines, to improve annotation processes and guidelines. - Generate and validate high-quality finance-oriented data annotations yourself when needed, based on guidelines and continuous feedback, for the development and evaluation of AI models - Build and maintain internal tools and automation that streamline annotation or review workflows such as visualization dashboards, batch configuration scripts, output management utilities, and similar - Troubleshoot campaign issues (e.g. tooling, guidelines) for annotators - Organise annotator training and coordinate feedback between annotators and reviewers. About you - A degree (minimum Masters level) in a Finance discipline. - At least 3 years of professional experience in the Financial domain. - Outstanding analytical and research skills - Some familiarity with programming languages, with the ability to read standard output formats such as .jsonl files. - Exercises great judgement with complex instructions, limited data, and/or multiple information sources and ability to surface edge cases, ambiguities, or gaps in guidelines accordingly. - Excellent communication, interpersonal, and organisational abilities - Adapts easily to dynamic environments and changing requirements - Appetite for operational work and high tolerance for repetitive tasks with a sustained focus and accuracy on detail-oriented, high-volume review work. - Professional proficiency in English, with strong writing and comprehension skills Nice to have - Familiarity with rubric-based evaluation concepts, inter-annotator agreement, or quality measurement for human-labeled data - Experience building an annotation team through interviews and training - Proficient in at least one programming language (e.g. Python) - Prior experience in data annotation for AI/ML, especially LLM training (SFT, RLHF, preference data), evals/benchmarks, or agentic data - Comfortable working in a Unix-like terminal and using git workflows (branches, merges, resolving conflicts)   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: Oakland, California, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran and dbt Labs are now one company. Together we build the data movement and transformation tools that data teams around the world rely on. Our Analytics team runs on those same tools every day, so you'll work on a modern data stack and help set best practices for the industry. As a Senior Product Analyst, you'll help product leaders understand how customers adopt, use, and stay with our core Fivetran data movement and dbt platform products as well as new product releases spanning AI, BI, and compute. You'll be a "full-stack" analyst. You'll build the data models, define the metrics, create the dashboards, run the analysis, and turn it all into recommendations that shape what we build next. AI is part of how we work. We expect analysts to use AI tools thoughtfully to accelerate analysis and increase efficiency, while applying their own judgment and validating the results. This is a full-time, flexible hybrid position based in Oakland, CA. Our hybrid work model offers remote flexibility and in-person collaboration; there is no fixed number of required office days, and we encourage teams to meet in person regularly. Why This Role Is Exciting Two product portfolios just came together. Many questions about how customers use Fivetran and dbt together have never been asked. You'll be one of the first people to answer them. Your work drives leadership decisions. You'll focus on adoption, engagement, and retention, the metrics product leaders use to decide where to invest. You own the work end to end, from raw data to the decision it informs. You'll analyze products built for people like you. Our customers are data teams. Technologies You’ll Use SQL (BigQuery / Snowflake) dbt / dbt State Looker / LookML / Omni Hex / Sigma / Google Sheets Claude Code / Codex What You’ll Do Partner with product managers and product line leaders to understand problems and potential solutions with data. Deliver regular analysis and insight on product adoption, engagement, and retention. Proactively investigate trends in user behavior and product usage. Find issues and growth opportunities before anyone asks, and use them to shape product and growth strategy. Define, measure, and monitor the KPIs that show whether our products are healthy and whether the company is on track. Size the potential impact of new product initiatives and recommend how to prioritize them. Analyze product launches and experiments, and recommend what to do next. Find and reduce friction in the funnels users go through to sign up, activate, and adopt our products. Tackle questions where product data meets broader business data, such as revenue, sales, and support. Build and maintain the data models, metrics, and dashboards behind your work. Help new hires, colleagues, and partners understand our data and use it well, so data-informed decisions become the norm. Skills We’re Looking For 5+ years in analytics, mostly in product analytics, ideally at a high-growth B2B or SaaS company. Advanced SQL. You can turn messy, raw data into clean, trustworthy datasets, and write, debug, and explain SQL yourself. Comfort using AI tools in analytics workflows to explore data, draft or improve SQL, automate repetitive work, and synthesize findings. You can evaluate and validate AI-generated output. Hands-on experience building data models, ideally with dbt, creating dashboards in a BI tool such as Looker, Omni, or Tableau, and performing funnel, cohort, and segmentation analysis. A track record of using analysis to drive product or business decisions, not just report on them. You can take an open-ended question with little direction and turn it into a clear analysis and recommendation. Strong attention to detail and prioritization. Clear written and verbal communication, including the ability to explain findings to executives and technical tradeoffs to engineers. Experience influencing cross-functional, distributed teams, both asynchronously and in real time. Bonus Skills ​ Experience designing and analyzing experiments (A/B/n tests), including test design, sample size, significance, and turning results into launch decisions. Deep knowledge of the SaaS customer lifecycle and business metrics, such as ARR (annual recurring revenue), retention, and expansion. Experience defining product events and helping teams self-serve in product analytics tools like Amplitude, Mixpanel, or Heap. Experience developing and scaling a large dbt project. Python or R for analysis. #LI-DJ1 #LI-Hybrid The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Oakland Pay Range $156,082 — $195,102.50 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Москва Наша команда развивает пользовательские сценарии и персонализацию предложений в Диалоговых каналах банка. Наша цель — объединение канальных сценариев взаимодействия с клиентом в единый омниканальный процесс, создание решений, которые помогут клиенту закрыть его потребности с помощью продуктов и сервисов экосистемы Сбера, персонализируют клиентский опыт и оптимизируют бизнес-процессы. Первый этап отбора на эту вакансию — общение с AI-рекрутером. После отклика ждите сообщение от него, диалог займёт примерно 10 минут. Задача AI-рекрутера — уточнить недостающие детали и ускорить рассмотрение вашей кандидатуры. AI-рекрутер только начинает свой путь, поэтому просим относиться с пониманием. Ваш опыт и участие помогут сделать его удобным и полезным для всех! Обязанности * вести продуктовую аналитику: формулировать и отслеживать метрики успеха, анализировать воронки, проводить A/B-тесты и оценивать влияние изменений на ключевые показатели * анализировать данные по клиентам и кампаниям * проводить исследование новых источников данных для улучшения качества персонализации предложений * участвовать в разработке стратегии развития продукта, определять приоритетные направлений для исследований * готовить Ad-Hoc отчеты, консультировать смежные команды * унифицировать, автоматизировать и развивать аналитические процессы команды. Требования * опыт работы в качестве DA/BA от 2 лет * Уверенное знание SQL (оконные функции, умение читать план запроса и т.д.) * опыт использования Python для аналитики (библиотеки - pandas/ numpy/ matplotlib/ seaborn) * умение презентовать результаты своих исследований и объяснять сложные вещи простыми словами * умение проектировать эксперименты и интерпретировать результаты; * знание основ статистики (методология оценки A/B-тестов, проверка гипотез) * навыки анализа большого массива данных. **Преимуществом будет:** * опыт работы в BI инструментами (Tableau, Qlik и др.) * опыт работы с BigData-стеком (Hadoop, Spark, Hive), умение строить и оптимизировать пайплайны обработки больших данных * аналитическое мышление и умение систематизировать информацию; * проактивность и самостоятельность в решении задач * умение работать со смежными командами, отстаивать интересы по своим задачам и место в бэклоге, контролировать выполнение поставленных задач * навыки работы с генеративными AI-моделями * опыт создания AI-агентов и использования их в работе будет преимуществом * опыт использования GigaChat, Kandinsky и аналогов в продуктах, навыки создания и использования AI-агентов * инструментальное владение AI для анализа, генерации и автоматизации. Условия * офисный формат работы, адрес офиса Кутузовский проспект 32 к 1 * ежегодный пересмотр зарплаты, квартальная и годовая премия * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * программа адаптации и помощь руководителя на старте * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера.

Location: Limassol, Cyprus; Latvia; Estonia; Lithuania Credit analysis of the company’s counterparties - financial institutions (corporate and investments banks, brokers/dealers, exchange & clearing houses and central security depositories, etc); Confirmation and keeping up to date of internal ratings assigned to financial institutions; Setting limits for operations with financial institutions; Annual review of counterparties and renewal of limits; Participation in deals structuring with financial institutions for the purpose of risk mitigation; Experience designing and maintaining risk management frameworks, risk appetite statements, capital and liquidity assessments and risk registers; Perform and document a formal Business Impact Analysis to identify and justify Recovery Time Objectives and Recovery Point Objectives based on operational, financial, regulatory, and reputational impact criteria (DORA requirements); In-depth knowledge of EU regulation, monitor industry and regulatory developments and keep update of new regulations, and ensure processes are in place; Ability to translate regulatory requirements into practical controls, policies, and monitoring across asset custody, settlement, and safeguarding of client funds. Requirements Degree holder in Finance, Risk Management, Business or any other relevant field; At least 3 years of experience in working within a regulated investment firm or CIF company; Experience in Risk Management and Credit analysis of financial institutions; Fluent in English, both oral and written; Knowledge of risk management tools and techniques; Ability to complete projects and reports on time; Able to work independently and as part of the team; Analytical skills, diligent team player; CySEC Advanced certificate holder (Nice-to-have).

Location: São Paulo, Brazil We are hiring in Brazil! 🟢 At Dev.Pro, a US-based outsourced software development company, we're looking for contractors to join our global team of IT professionals helping tech companies scale their business through software engineering expertise. Operating as a remote-first company, our experts work across 55+ countries on five continents, giving us the flexibility and skillset to deliver high-quality engineering for projects of any size or complexity. We invite a Senior System Analyst to join our team and work on a complex fintech project for a leading global financial services infrastructure provider. You'll contribute to the development and enhancement of a flexible asset tokenization platform with robust smart contract capabilities. You’ll work at the intersection of business analysis and system analysis, collaborating closely with business stakeholders, software engineers, and data engineering teams to understand requirements and define effective solutions. 🟩 What's in it for you: Work on a complex project for a renowned regtech and fintech company developing blockchain-based infrastructure for financial institutions Gain hands-on experience working with data and modern data architecture Deepen your expertise in both business and system analysis while sharing knowledge and developing new skills within Dev.Pro’s BAO community ✅ Is that you? 5+ years of experience in a Business Analyst role Strong technical background with solid experience in system analysis Experience working closely with data engineering teams Understanding of data architecture concepts, including data lakes and data warehouses Hands-on experience writing SQL queries for data analysis and investigation Experience analyzing, documenting, managing, and prioritizing business and system requirements Strong understanding of Business Analysis practices, SDLC, and Agile methodologies Strong analytical and problem-solving skills High level of autonomy and proactivity Strong communication and collaboration skills, with the ability to effectively manage challenging stakeholder relationships Upper-Intermediate+ English level Desirable: Experience in fintech or financial services Experience with blockchain projects Experience working in international, distributed teams 🧩 Key responsibilities and your contribution In this role, you'll use your knowledge and skills to improve the efficiency and accuracy of the development process, enhancing the overall quality and effectiveness of the team’s blockchain projects. Set up and enhance the process of requirement gathering, analysis, and documentation, ensuring clear and standards-compliant project specifications Act as the main point of communication with product stakeholders, assisting in feature prioritization and managing requested changes Serve as a proxy product owner, representing stakeholders and ensuring seamless communication with the development team Facilitate Scrum events, ensuring their productivity for effective collaboration and promptly resolving/escalating blockers Create and maintain relevant project-related documentation, including visualizing developed solution workflows through diagrams Our next steps: ✅ Submit a CV in English — ✅ Intro call with a Recruiter — ✅ Internal interview — ✅ Client interview — ✅ Offer Interested? Find out more: 📋How we hire 💻 LinkedIn Page 📈 Our website 💻IG Page By submitting application, I've read and agree to the Dev.Pro Private Policy and Consent on Processing of Personal Data . I agree to have my Personal Data being stored and processed by Dev.Pro.

Location: Al Khobar, Saudi Arabia Overview The Master Data Quality Analyst is responsible for maintaining data accuracy, consistency, integrity, and compliance with established data quality standards. The role involves analyzing large datasets, identifying data discrepancies, supporting master data management and governance initiatives, and assisting in the maintenance of metadata repositories and business intelligence systems. The position also supports data quality reporting, dashboard maintenance, and the administration of BI tools to enable reliable, secure, and effective data-driven decision-making. Key Responsibilities Monitor and analyze enterprise datasets to identify data quality issues, inconsistencies, discrepancies, and potential root causes. Support the development and implementation of master data management processes, data governance policies, standards, and procedures. Assist in establishing and maintaining data quality guidelines, metadata repositories, and data cataloguing practices. Contribute to the development and enforcement of data policies, standards, and best practices to ensure data consistency and integrity. Identify data quality gaps and coordinate corrective actions with relevant stakeholders to improve the reliability of business intelligence reports. Support the development, operation, and maintenance of dashboards, reports, and business intelligence solutions. Assist in configuring and administering BI tools, software, and related technology components to ensure operational efficiency. Manage BI user accounts, access permissions, and configurations in accordance with organizational roles and information security requirements. Provide technical support for BI tools, troubleshoot system issues, and assist in performance optimization activities. Ensure compliance with applicable information security, data privacy, and data management controls. Collaborate with the Master Data Quality Manager and other stakeholders to enhance data management practices and support informed business decision-making. Requirements Bachelor’s degree in Information Technology or a related discipline from a recognized and accredited university. 5–7 years of experience in data quality, master data management, data governance, business intelligence, or a related field. Experience in IT, data solutions, networking, cybersecurity, or information management is preferred. Knowledge of data quality management principles, master data management processes, metadata management, and data governance practices. Familiarity with business intelligence tools, dashboards, reporting systems, and data analysis techniques. Understanding of information security, data privacy, and access control principles. Strong analytical, problem-solving, and attention-to-detail skills. Proficiency in written and spoken English. Preferred Certification Certified Data Privacy Solutions Engineer (CDPSE).

- Работать с большим объемом данных. - Разрабатывать логику аналитических выборок и отчётов.

Location: San Francisco ABOUT THE ROLE You’ll be the operational, detail-first finance partner embedded in REW doing the deep-dive transactional and analytical work that the team needs to run cleanly. Reporting directly to the REW Finance Manager (Talia Young), you will own PO QA and lifecycle operations, accruals and month-end support, GL drill-throughs for Budget vs Actuals (BvA) commentary, and vendor spend visualizations. You’ll partner closely with Leasing, Workplace Ops, Design & Construction, Workplace Experience, Sourcing, and P2P — and you’ll be expected to roll up your sleeves and deliver high-quality, defensible analysis and clean data. CORE RESPONSIBILITIES - PO lifecycle & ZIP power-user: Validate chart of accounts, budget availability, REW PO line descriptions, start/end dates; help manage REW POs through the PO creation/change order process in ZIP. - Accruals & month-end: Assist with month end close; Identify POs that require accruals, collect/validate accrual inputs from owners, prepare accrual backup, input/maintain accrual details in the stratfin file, and reconcile reversals when invoices arrive. - GL drill-through & BvA commentary: Perform transaction-level GL investigations to find root causes of variances, compile support, and prepare concise, stakeholder-ready variance narratives. - Vendor invoice & spend visualization: Build and maintain vendor-level dashboards and quick visualizations showing spend trends, aged liabilities, and problem areas. - Data management & actualize files: Maintain and “actualize” REW files (budget skeletons, accrual trackers, PO registers), ensure data hygiene and version control. - Budget and forecast cycle support: Enhance budget and forecast templates and automate where possible. Collect and review submissions in detail. - Technology & automation: Bring a technology-first mindset — prototype small automation/AI agent solutions to reduce manual work (e.g., PO QA checks, GL reconciliation assistants). - Partnering & follow-up: Recurring operational check-ins with stakeholders as it relates to budget/forecast updates and ensuring operations running smoothly from a financial perspective.   MUST-HAVE QUALIFICATIONS - Bachelor’s degree in Accounting, Finance, or equivalent experience. - 4-6+ years relevant experience in FP&A/ corporate finance / finance operations - Practical, hands-on accruals experience (monthly accruals, prepayments, reversals). - Demonstrated experience with PO lifecycle and PO system operations - Strong experience performing GL drill-throughs and tracing transactions to source documentation. - Advanced Google Sheets / Excel modeling skills - Excellent attention to detail and the ability to produce defensible, audit-ready work. - Strong partnership and communication skills — able to extract needed information from stakeholders and drive action. NICE-TO-HAVE - Experience with NetSuite, Workday, Oracle, or other ERPs. - Dashboarding experience (Tableau) - Prior exposure to real estate, construction, workplace operations, or global food/amenities spend. - Demonstrated experience prototyping small automations or AI agents to accelerate work. SOFT SKILLS / COMPETENCIES - Extremely detail-oriented and process disciplined. - Independent problem solver who can escalate appropriately. - Strong prioritization and time management under competing deadlines. - Curious and technology-forward — comfortable testing small automation/agent ideas. - Partnership-first: builds rapport quickly and communicates clearly with non-finance stakeholders.

Задачи: — управление соответствием AML (Anti-Money Laundering) — проведение комплексной проверки клиентов (customer due diligence) — мониторинг транзакций — подготовка регуляторной отчетности Требования и условия в тексте не указаны.

Location: San Francisco, CA Workplace: OnSite ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE TEAM: You'll join our GTM Systems team, which owns the systems LangChain's go-to-market actually runs on — Salesforce above all: the account and contact model, territory and routing, the sales process from first touch to closed-won, and the quote-to-cash and provisioning stack behind it. We design and ship internal product for the GTM organization. AI agents do a growing share of the building: they draft design docs, open changes, and run Salesforce deployments, while humans hold the approval gates. Build capacity — engineers plus the agent bench — sits on this team, and you'll help decide what it works on next. ABOUT THE ROLE: You'll own the requirements, prioritization, and quality bar for LangChain's Salesforce-centered GTM systems, turning ambiguous revenue-team needs into shipped process and systems changes that scale. This is not a ticket queue role. You'll be accountable for a small number of high-leverage GTM systems programs at a time: defining the problem, aligning stakeholders, specifying the solution, and ensuring what ships changes how the revenue org operates. You'll work across Sales, Marketing, Partnerships, Support, and Finance in a fast-changing environment where priorities move quickly and influence matters more than reporting lines. The core challenge is operating with authority but not control: aligning teams around tradeoffs as the business changes underneath the plan. You won't be expected to write production code. You will be expected to write clear enough specifications that engineers and AI coding agents can build from them, and to review the output with enough Salesforce and systems judgment to decide whether it is correct. Location: San Francisco Bay Area — in office 4 days a week. The people whose processes you're redesigning are in this building, and so are the engineers who build LangGraph. WHAT YOU'LL OWN: Carry multi-quarter programs - Own the Salesforce sales process from lead to close — routing, qualification, territory assignment, and stage progression — driving each initiative from discovery through UAT, change management, and adoption. - Be the person stakeholders come to before they file a request, especially when the system was never designed for what the business now needs. - Own the intake and prioritization model for hundreds of quarterly GTM systems requests, ensuring the team works on the highest-leverage business problems rather than the loudest tickets. Own what gets specified and what ships - Run discovery and turn ambiguous asks into BRDs, process flows, data models, and acceptance criteria — with a clear problem statement and ROI justification, precise enough to execute without a second conversation. - Hold the quality gate: you write the specification, engineers and coding agents write the code, and nothing reaches production without your sign-off. - Run vendor evaluations when the right answer is buy, integrate, or replace rather than build. Protect revenue data integrity - Trace anomalies in revenue fields — Net ARR, initial pipeline, lead source — back to the automation, trigger, or integration that wrote them. - Own the reconciliation seam between Salesforce, usage-based billing, and cloud-marketplace transactions. - Identify which design decisions are load-bearing and which are cosmetic, and catch the downstream failure modes before they reach production. WHAT SUCCESS LOOKS LIKE: In your first 6–12 months, you might: - Redesign the lead-to-opportunity process so routing, qualification, and stage progression are measurable, enforceable, and adopted by the field. - Create a prioritization model for hundreds of GTM systems requests per quarter, with clear tradeoffs and business rationale. - Ship a Salesforce change that improves pipeline hygiene, quote-to-cash accuracy, provisioning reliability, or cloud marketplace reconciliation. - Establish a specification and UAT standard that engineers and AI agents can reliably build against. - Build enough trust with Sales, Marketing, Partnerships, Support, and Finance that stakeholders bring you the problem before they prescribe the solution. WHAT YOU'LL NEED TO BE SUCCESSFUL: SYSTEMS AND DOMAIN DEPTH - Domain and tenure — 6–8 years in business systems, sales systems, revenue systems, or GTM systems, with Salesforce as your primary platform throughout. - Sales process depth — you've partnered with Sales Ops on the things reps feel every day: territory and account coverage, lead qualification and routing, stage gates, and pipeline and forecast hygiene. - Sales systems / RevOps depth — experience across quote-to-cash, CPQ, territory and lead routing, forecasting, or adjacent revenue processes. - Technical fluency — you can read a data model, a Flow, and enough Apex to design against what's really there, even though you are not expected to write production code. PROGRAM LEADERSHIP - Program ownership — you've been the single accountable owner, at the working level negotiating the commitments yourself, of a program that spanned four or more functions and changed how a revenue org works day to day. - Release risk — you've delivered a program into a core system on a release process you didn't control, where another team's change could break your release. - Re-scoping under change — you've re-scoped a program mid-flight because the business changed under it, a sponsor moved, or the original scope no longer matched reality. - Holding the line — you've turned down a request with executive backing and kept the relationship; you hold the line when something breaks pricing discipline, a legal constraint, or the architecture, and you arrive with the alternative. JUDGMENT AND COMMUNICATION - One tradeoff, two audiences — you write for the reader in front of you, not the one you find easiest: the VP gets the page, the engineer gets the spec. - Maximum agency — you find the friction and start the project. You don't wait for a ticket. - AI judgment — you give an agent the same brief you'd give a new engineer, and you check its work the same way. - Architecture judgment — you know which design calls are load-bearing and which are cosmetic: why a usage event belongs on its own object rather than a field on Account, and how you'd catch that renaming one picklist breaks the provisioning saga before anyone deploys it. STRONG SIGNALS: None of these is a screen; any one makes you useful faster. - You've owned a core Salesforce object domain — Account, Contact, Lead, or Opportunity — through a full redesign. - You've traced a Salesforce field into a usage record into a provisioning step, and seen what broke downstream when it moved. - You've worked with cloud marketplace operations — AWS or GCP private offers, co-sell, entitlement mapping, metering, and the failure modes when they break. - You've worked with usage-based billing systems such as Metronome, Orb, or similar, and CRM↔billing identity reconciliation. - You have LangChain or LangGraph experience, or you're excited to learn it here from the people who build it. Annual salary range: $180-200k USD Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.