5+ лет опыта разработки на Python.
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5+ лет опыта разработки на Python.
Location: Remote - Australia; Remote - Japan Workplace: Remote Qdrant is an open-source vector search engine powering the next generation of AI applications, from semantic search and retrieval-augmented generation (RAG) to AI agents and real-time recommendations. Trusted by global leaders like Canva, HubSpot, Tripadvisor, Bosch, and Deutsche Telekom, we’re building the retrieval infrastructure layer for modern AI. Recently raising $50M in Series B funding, we are growing rapidly and committed to transforming how AI understands and interacts with data. As a remote-first company, we believe diverse backgrounds, perspectives, and experiences fuel innovation. Here, you’ll own meaningful work, tackle challenges, and grow alongside passionate individuals dedicated to shaping the future of AI. THE TEAM AND IMPACT You'll join the Customer Success and Engineering organization as our first Senior Technical Success Manager hire in Australia or Japan, reporting to our Director of Customer Success. Our Technical Success Managers in the US and Europe own the post-sale relationship for our most strategic accounts. In APAC, you'll do that and more: you'll be the technical face of Qdrant in the region, working with Account Executives, Support, Forward Deployed Engineers, and Solutions Architects who sit several time zones away. Most of your time goes to helping customers who already run Qdrant in production succeed and grow. The rest goes to supporting new deals, partner work, and first-line technical questions in APAC hours. It's a hybrid role for someone who likes being first in, figuring things out, and building how we work in a new region. WHAT YOU WILL OWN - Strategic APAC accounts, end to end. Be the primary technical owner for our largest customers in the region, from onboarding through production, scaling, and expansion. Run health checks and architecture reviews, and spot growth opportunities before the customer asks. - Hands-on delivery. Work directly with customer engineering teams on deployment, configuration, and performance tuning across Qdrant Cloud and self-hosted Kubernetes environments. - First-line technical support in APAC hours. Resolve most technical questions yourself, and hand edge cases to Support and Engineering with clear, evidence-based diagnostics so nothing stalls overnight. - Expectation setting with demanding customers. Hold the line on scope, priorities, and customization requests, and align engineering, IT, and security stakeholders on what happens next and when. - Pre-sales and partner support. Back Account Executives on new opportunities and proofs of concept in the region, and help regional partners' technical teams position and deploy Qdrant. - The voice of APAC customers. Bring field feedback to Product and Engineering, and help shape the playbooks and processes we'll use as the region grows. WHO YOU ARE - You have 6+ years in customer-facing technical roles (Technical Account Manager, Technical Success Manager, Solutions Architect, Solutions Engineer, or Forward Deployed Engineer) at an AI, data, or database infrastructure company. - You're hands-on with cloud-native infrastructure: Kubernetes, Terraform, and at least one major cloud (AWS, GCP, or Azure). You can reason about memory, performance, and scaling problems without waiting for someone else. - You've worked both sides of the deal. You can support a technical evaluation as comfortably as you can run a long-term customer relationship. - You bring enterprise maturity. You'll be dealing with our biggest enterprise clients in the region, so you negotiate confidently with engineering, IT, and security teams, and you push back with care when a customer's request doesn't serve them. - You're self-sufficient and enjoy startup ambiguity. You can be the only Qdrant person in your time zone, make good calls on your own, and know when to delegate or escalate. - You're based in APAC, ideally Australia, communicate clearly in English, and can occasionally join early or late calls with teammates in Europe and the US. NICE TO HAVE - Direct experience with vector search or search engines, or RAG and agentic AI applications in production. - Experience as an early or first hire building a regional presence for a start-up or scale-up. WHY JOIN US - A remote-first, international team working on cutting-edge AI infrastructure. - A competitive salary with additional perks. - Flexible working hours and async-friendly culture. - High ownership and real impact. - Open-source, engineering-driven culture. - Choose your own laptop equipment. For US-based full-time employees, we also offer a comprehensive benefits package including 401k match, health, dental, and vision insurance, plus flexible PTO policy. Qdrant is an equal-opportunity employer. We believe the best ideas come from diverse teams, and we actively welcome applicants from all backgrounds. If this role excites you but you don't check every single box, we'd still love to hear from you! We don't want to miss out on great people because of a checklist. Come build with us! FOR INFORMATION ON HOW WE HANDLE YOUR PERSONAL DATA, PLEASE REFER TO OUR RECRUITMENT PRIVACY POLICY https://qdrant.tech/legal/recruitment-privacy-policy/ #LI-REMOTE
• Владеть направлением клиентского опыта end-to-end: от стратегии до результата. • Растить конверсию в покупку и удержание, адаптируя путь покупателя под специфику каждой категории.
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
Настроить подбор— Be the analytics partner to CRM marketers and Product on every initiative and work with them on how to improve results; — Answer questions on how to correctly measure CRM activity: choosing the right measurement design for a campaign type, defining what "delivered" means per channel, and defending the methodology to stakeholders;
- Опыт работы от 4х лет. - Уверенное знание Python и pytest.
Location: Санкт-Петербург Команда блока Корпоративно-инвестиционный бизнес занимается кредитованием компаний, документарным бизнесом, инвестиционно-банковскими услугами, торговыми операциями с ценными бумагами и другими сервисами для бизнес-клиентов Сбера. У нас безграничные возможности горизонтального и вертикального роста. На позиции клиентского менеджера ты будешь привлекать и сопровождать ключевых корпоративных клиентов. Обязанности ### Вам предстоит: * продвигать продукты и услуги Сбера клиентам крупного и среднего бизнеса * структурировать сделки, готовить материалы и заключения для кредитного комитета * защищать вопросы на кредитном комитете Сбера * формировать отчетность и работать с клиентской аналитикой * участвовать в мониторинге и работать с проблемной задолженностью. Требования ### **Мы ожидаем, что у вас есть:** * высшее образование в одном из направлений: финансы, банки, экономика или бухгалтерия * опыт привлечения клиентов сегмента крупнейший, крупный или средний бизнес от 2 лет * опыт успешно реализованных крупных кредитных сделок * опыт работы с ИИ-инструментами * общетеоретические и практические знания в части бухгалтерского учета и анализа финансовой-хозяйственной деятельности, налогового учета, ценных бумаг, оценки бизнеса * знание действующего законодательства РФ в части вопросов, связанных с кредитованием корпоративных клиентов. Условия ### Работа у нас - это: * место работы: г. Санкт-Петербург, ул. Красного Текстильщика д.2 * официальное оформление с первого дня * оклад, квартальная, годовая премия и ежегодный пересмотр зарплаты * возможность влиять на свой доход * программа адаптации и помощь руководителя на старте * работа со всеми отраслями бизнеса и широкая линейка продуктов * расширенный ДМС и льготное страхование для семьи * уникальная система обучения Сбера для карьерного развития и роста * корпоративная пенсионная программа * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ.
Location: Москва Команда DataPlatform-Tools реализует платформенные инструменты для сервисов, AI-агентов и потребителей в домене HR-аналитики всего Банка. Мы обеспечиваем self-service для инженеров, аналитиков данных, DS, ML-инженеров: готовые DAG пайплайны, тесты качества данных (DQ), lineage, BI-визуализации. Наш фокус — доступность данных не только для сотрудников, но и для AI-агентов! Для этого мы применяем подходы топовых компаний в мире и формируем собственную практику на огромном массиве данных Обязанности * анализ требований — полнофункциональное выявление бизнес-, пользовательских, функциональных и нефункциональных требований к data-платформенным решениям * декомпозиция бэклога — разбиение крупных инициатив: эпики → фичи → User Stories → задачи, с определением критериев DoD и A * проведение R&D — проведение исследовательских работ: изучение новых подходов, анализ tech trends, создание прототипиров решений * проектирование событийно-ориентированных архитектур\*\* — моделирование потоков данных через Kafka, определение схем событий и SLA доставки * проектирование интеграций — детальное проектирование межсистемных интеграций и потоков данных со смежными системами (микросервисы, внешние потребители, AI-агенты) * участие в приёмочном тестировании — проверка реализованного функционала на соответствие требованиям и спецификациям * разбор инцидентов — участие в расследовании инцидентов: анализ root cause, формализация требований на исправления и превентивные меры Требования * самостоятельное полнофункциональное выявление и формализация требований к информационным системам * опыт проектирования data-решений: ETL/ELT-пайплайны, хранилища данных, data pipelines * уверенное знание SQL на уровне написания сложных запросов (оконные функции, CTE, джойны) * понимание принципов работы с событийно-ориентированная архитектурой и брокерами сообщений (Kafka) * уверенное владение REST/JSON/JSON Schema — проектирование и ревью API-контрактов * понимание микросервисной архитектуры и её паттернов Условия * комфортный современный офис рядом с м.Кутузовская * возможность выбрать удобный график – офис/гибрид * ежегодный пересмотр зарплаты, годовая премия * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * программа адаптации и помощь руководителя на старте (для Junior позиций) * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * льготная ипотека для каждого сотрудника * бесплатная подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера. * корпоративная пенсионная программа * отсутствие строгого дресс-кода.
💎 Проектировать интерфейсы мобильного приложения cTrader: разбирать пользовательские пути и упрощать сложные трейдинговые сценарии, сохраняя глубину для профессиональных трейдеров, развивать дизайн-систему и проверять решения исследованиями.
Location: Toronto; San Francisco; Canada; United States; New York; Ottawa; Montreal Workplace: Hybrid WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! WHY THIS ROLE? We’re building the foundational infrastructure that will define how the world thinks about and deploys AI, and we want the sharpest, most driven, and most curious people to help us do it. As the head of the Data Foundation pillar of our Analytics and Data Insights team, you’ll lead the team that makes Cohere’s data trustworthy, governed, and available: the warehouse every analytics surface runs on, the pipelines that keep it fresh, the access model that keeps it secure, and the agentic analytics layer that lets anyone at Cohere (and their agents) ask questions of governed data directly. Your team owns the full data lifecycle. You’ll run ingestion into BigQuery from internal and external data sources, orchestrate it in Airflow and Cloud Run, model the data warehouse in dbt, and serve the results through Looker, export APIs, and customer-facing analytics surfaces. Everything is provisioned as code in Terraform, and governance is part of the design: VPC service controls, IAM patterns, and documented access paths that let people and agents move fast without putting data at risk. This role is both highly visible and highly impactful, and you’ll inherit a solid structure on which to build the rest of the stack: a Terraform-provisioned warehouse framework, dbt modeling conventions, an alerting and incident-response practice, and documentation patterns to keep everything discoverable. The roadmap is set with big bets in flight: scaling that framework across the company, standing up an internal analytics agent with a real eval harness, and consolidating institutional knowledge into a self-correcting and self-maintaining system that keeps context centralized, current, and documented, rather than dispersed and in people’s heads. Responsibilities As the head of the Data Foundation pillar, you will: - Build and lead the team. Hire and grow a team of data and infrastructure engineers; set the technical bar; develop strong talent and raise team performance, building leadership capability beneath you. - Set the roadmap from company strategy. Own and sequence the Data Foundation roadmap: the warehouse buildout, the agentic analytics program, data governance, and the platform work that unblocks our other pillars. You’ll make the trade-offs and carry the cross-functional impact that comes with them. - Own the data platform end to end. Ingestion (managed connectors and an open-source connector framework), orchestration on Airflow and Cloud Run, warehouse modeling in BigQuery with dbt (raw, core, mart layers), and serving through Looker, export APIs, and semantic layers. All of it provisioned as code in Terraform. - Own data governance. Define how humans, service accounts, and agents get access to governed data: VPC service controls, IAM patterns, documented onboarding paths, audit logs, and sensitive requests (including legal holds) handled to deadline. - Operate for reliability. Run the alerting and anomaly-detection framework, own data freshness SLAs, lead incident response and postmortems, and turn every incident into a durable standard so the same class of failure doesn’t recur. - Lead the agentic analytics program. Wire the semantic layer into an internal analytics agent, build the eval harness that measures its accuracy, and make the eval-driven call on where AI earns its way into production. Apply the same discipline to automating data engineering work itself. - Set the standard for analytics across the company. The medallion framework, naming conventions, and testing patterns your team maintains become the way other teams ship analytics data. You’ll onboard new domains onto it and keep the docs accurate to how the systems actually work. - Partner across the org. Work with the North product and engineering teams on the analytics surfaces that ship in the product (including a customer-facing analytics export), with Business Insights on marts for the business, with Security on data governance, and with Legal on compliance-critical data requests. QUALIFICATIONS You may be a good fit, if you have: - 10+ years of experience across data engineering, data infrastructure, or analytics platform work, with a strong management track record leading data platform or infrastructure teams - Serious hands-on history in data engineering or infrastructure before management. You can still read a Terraform plan, a dbt DAG, or an Airflow scheduler log and ask the question that matters - Production experience with cloud data warehouses (BigQuery, Snowflake, or similar), workflow orchestration (Airflow or similar), and infrastructure as code (Terraform or similar) - Depth in data modeling: you think in fact and dimension tables, raw/core/mart separation, and semantic layers, and you have opinions on where tests and contracts belong - A record of setting a team’s roadmap from company or function strategy and delivering outcomes that span teams, with the cross-functional partnerships to match - Operational excellence you can point to: alerting you trust, SLAs you meet, incidents you run to ground and write up so they teach - Exposure to data security and governance: IAM, access management, VPC service controls or equivalent, audit and compliance workflows - Genuine excitement about AI: you follow the research, have opinions, and are energized by building the data foundation an AI company (and its AI agents) runs on - Comfort operating in ambiguity, leading a multi-workstream roadmap, and working directly with executives on priorities If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.
Location: Sliema, Malta 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. About the Opportunity As a Senior Business Analytics Manager, you'll use data to strengthen Compliance across three priorities: Trusted Data, Growth Enablement, and Proactive Risk Prevention. You'll help ensure that regulatory reports, audit responses, and legal evidence are reliable, traceable, and reusable, while transforming customer, transaction, and financial data into actionable insights. You'll partner with Compliance, Product, Engineering, Data Science, and Business teams to build trusted data foundations, automate recurring requests, and create metrics that reveal operational effectiveness and compliance friction. You'll also conduct root cause and control-gap analysis, help remove compliance-related business roadblocks, support market and licensing initiatives, and surface risks before they are identified externally. What You'll Be Doing: Facilitate and govern internal and external data requests across OKX global entities, ensuring timely, first-time-right delivery for regulatory reporting, audits and exams, and legal evidence. Build and maintain request records, evidence and definition libraries, and data-governance records to improve data reliability, traceability, and reusability. Productize high-frequency recurring requests into automated or self-service data pipelines, improving turnaround time and cost efficiency. Build and automate Compliance dashboards based on North Star metrics as well as input and guardrail metrics to provide transparency into operational effectiveness, customer and platform risk, and business friction. Conduct deep-dive, root-cause, and control-bypass analyses to proactively identify and prevent compliance risks. Partner with Compliance, Business, Marketing, and local market teams to remove compliance-related roadblocks in current operations and support new markets, licences, applications, and market-access assessments. Collaborate across Product, Engineering, Data Science, and Finance to continuously improve data pipelines and analytics products. What We Look For In You: Relevant working experience of at least 7 years. (must) Proficiency in database management systems like MySQL, SQL Server, Oracle, or PostgreSQL. (must) Ability to work independently and collaboratively in a fast-paced environment. (must) Strong problem-solving skills and attention to detail. (must) Hands-on experience with machine learning algorithms and AI tools. (nice to have) Strong compliance domain knowledge, including KYC, AML, the Travel Rule, insider trading controls, and regulatory requirements across jurisdictions. (nice to have) Experience supporting regulatory reporting, regulatory examinations, and internal or external audits. (nice to have) Preferred industries are Fintech, Digital Payment, Tech companies. (nice to have) 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 dependents 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: United States Workplace: Remote We’re looking for a Sr. Manager of Order-to-Cash (OTC) to own and evolve our billing and collections function as ClickHouse continues to scale. This leader will ensure the integrity, accuracy, and compliance of our billing, collections, and revenue reporting as we prepare for public-company readiness. You’ll work cross-functionally with Revenue Accounting, Sales, Legal, FP&A, and other operations teams to build scalable processes and workflows. What You’ll Be Doing - Establish the operating model, processes, controls, and team structure for a scalable Order-to-Cash function. Hire, develop, and lead the team as the business grows. - Establish policies and guidelines for pay-as-you-go and commit billing models, invoice adjustments, collections strategy, and billing systems change management. - Act as the subject matter expert (SME) for new product/process introduction (NPI) initiatives, including changes to current billing processes and systems. - Own the billing systems tech stack that maps metered usage to contract entitlements and billable usage, in partnership with our Billing Engineering and Finance Systems teams. Drive system and process improvements, including AI adoption, automation initiatives, and integrations to streamline workflows. - Maintain strong AR health through proactive aging reviews, collections coordination with the sales team, and timely resolution of billing inquiries. - Support monthly accounting close activities including reviewing contracts, reconciliations, usage trends, invoice trends, AR write-offs, and analytics. - Support external audit activities and manage PBC requests related to OTC. What You Bring Along - 8+ years of progressive order-to-cash and billing operations experience, including 5+ years focused on billing and collections in a SaaS or technology company. - Experience with automation tools and ERP systems (e.g., NetSuite, Stripe, Salesforce CPQ). - Experience with marketplace platforms (e.g. AWS, Azure, GCP) and reports. - Strong analytical and problem-solving skills, with the ability to interpret complex contracts and data sets. - Excellent organizational skills and attention to detail, with a focus on accuracy and completeness. - Effective communicator with the ability to collaborate cross-functionally and present financial insights clearly. - Experience in designing and maintaining internal controls and documentation to support audit readiness and SOX compliance. #LI-remote PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new team member who joins our company receives stock options. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.
▪️ 5+ years of experience as a System Analyst. ▪️ Expertise in analyzing and documenting requirements for backend services.
Location: Bengaluru, Karnataka, India Roles & Responsibilities End to end request governance for raw material data management - On-time initiation (within 24h of request receipt), adherence to the standard turnaround time (TAT) for all requests Understand the objective of the request. If needed, seek clarification/project background/missing information for initiating the request Handling supplier communication effectively, highlighting delays in getting supplier information & on-time escalation Timely update & maintenance of the Global Request Tracker (GTR) – GTR must be utilized as the single global source of reference for the entire lifecycle of each request within RM data management Timely, effective and transparent communication with global stakeholders for all requests Technical expertise - High standard of technical understanding of regulatory requirements for raw materials within all categories of use (Cosmetics, OTC, Drugs, Food/Nutritional’s etc.) Knowledge of toxicology & safety assessment related information for raw materials within all categories of use (Cosmetics, OTC, Drugs, Food/Nutritional’s etc.). Maintain a strong collaboration with the Toxicology partners to learn & quickly adapt for information requirement from suppliers as per specific request needs Data varsity – right first-time information collection & validity of the high volumes of data incoming for all requests should be maintained Understand the end-to-end data connectivity across all systems & maintain high standard of data accuracy at the time of data entry in the systems Sustain an Ownership Mindset – Complete all requests, right-first time & on-time (within TAT) Ensure to meet the KPIs on quality & productivity consistently Soft skills required (must have) - Project/ Request management – Given the huge number of requests that flow in this project, efficiency in overall & individual request, time & task management is highly required Disciplined execution & ability to provide attention to detail – Should be fully focused and evaluate the information thoroughly and follow the process in disciplined way to ensure on time visibility to the stakeholders and flawless execution to meet the individual request timelines. Communication skills – Effective, timely and proactive communication with all internal & external (suppliers) stakeholders Problem solving – Understand the criticality of the problem & seek practical, time-bound solutions to overcome the challenge Critical thinking – Asking right questions, avoidance of redundant questions, steps, processes & learning from past experiences to extrapolate the lessons to other requests Sense of urgency & learning Agility – Understand the urgency and its impact to the business. Apply the learnings immediately in the ongoing and future projects/work. Agility & Resilience – ability to work under fast paced conditions, taking quick alignments for faster decision making
Maintaining corporate files and filing. Drafting internal documents including resolutions/minutes.
7+ лет опыта в DevOps. Сильный практический опыт работы с AWS SDK, Kubernetes, Docker и Terraform.
Location: United States Workplace: Remote We’re looking for a Senior AR Analyst to own billing and collection activities as ClickHouse continues to scale. This role will help ensure the integrity, accuracy, and compliance of our billing, collections, and downstream revenue reporting as we move towards public-company readiness. You’ll work cross-functionally with Revenue Accounting, Sales, Engineering, and other Operations teams to build scalable processes and workflows. What You’ll Be Doing - Own end-to-end invoicing and collections activities for pay-as-you-go and prepaid commit customers. - Support recurring, and usage-based, billing models across systems for a variety of subscription, invoicing, and payment term configurations. - Drive system and process improvements, including AI adoption, automation initiatives, and integrations to streamline workflows. - Maintain strong AR health through proactive aging reviews, collections coordination with the sales team, and timely resolution of billing inquiries. - Propose quarter-end write-off recommendations and own AR reporting, including aging analysis, allowance for doubtful accounts, and related GL reconciliations. - Support monthly accounting close activities, including contract review, usage validation, invoice verification, journal entries, reconciliations, and analytics. - Support external audit requirements and manage PBC requests related to billing operations. - Support user acceptance testing for new SKU creation, new product launches, pricing models, and business initiatives. What You Bring Along - 3+ years of progressive billing and collections experience at a SaaS or technology company. - Experience with marketplace platforms (e.g. AWS, Azure, GCP) and reports. - Experience with automation tools and ERP systems (e.g., NetSuite, Stripe, Salesforce CPQ). - Strong analytical and problem-solving skills, with the ability to interpret complex contracts and data sets. - Excellent organizational skills and attention to detail, with a focus on accuracy and completeness. - Effective communicator with the ability to collaborate cross-functionally and present information clearly. - Experience executing internal controls and documentation to support audit and SOX compliance. #LI-remote PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new team member who joins our company receives stock options. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.
Location: Шахтерск Мы собираем сильную команду профессионалов, которая будет представлять Сбер в новых регионах РФ. Приглашаем специалистов стать частью новой команды и открыть карьерные перспективы вместе со Сбером. Работа в новых территориях – это вклад в общее развитие компании и команды. Обязанности * консультировать клиентов по всем продуктам и услугам банка, включая ипотеку * продавать банковские продукты и услуги * обучать клиентов пользоваться сервисами и продуктами Сбера * проводить кассовые операции: прием, выдача, обмен денег. Требования * специалист со средним образованием и выше * доброжелателен и готов помогать клиентам * умение использовать ИИ для упрощения повседневных задач * активно используешь гаджеты и программы MS Office. Будет плюсом, если у тебя есть опыт работы в сфере продаж, обслуживания и консультирования клиентов. Условия * ежемесячную, годовую премию и ежегодный пересмотр зарплаты * возможность влиять на свой доход * быстрый старт карьеры для тех, кто без опыта * работа в офисе нового формата рядом с домом или местом учебы * корпоративный планшет для комфортной работы * уникальную систему онлайн обучения Сбера для карьерного развития и роста * расширенный ДМС и льготное страхование для семьи * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера.
Разработка пайплайнов обработки данных: создание и вывод в прод новых процессов обработки для поиска, модерации и рекомендаций. Интеграция с ML: внедрение готовых ML-моделей в пайплайны обработки данных.