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Location: Remote - International Workplace: Remote About Somnia: SOMNIA is the Agentic Chain - a hyper-performance L1 operating at an order of magnitude faster than existing networks. We empower builders and traders to create real-time, autonomous, and fully decentralized products, powered by agents, that were previously impossible and cannot be built anywhere else. It’s where the future of Web3 protocols will be built, so we’re facilitating a new wave of on-chain applications from DEX to Prediction Protocols and much, much more. Somnia is being developed by Somnia Foundation backed by Improbable https://www.improbable.io/, a British tech Unicorn +++ that has been at the forefront of building virtual worlds for over a decade. Somnia received initial funding from MSquared https://www.msquared.io/, which raised $150 million https://www.businesswire.com/news/home/20220407005101/en/Improbable-Raises-US150m-to-Establish-M%C2%B2-MSquared-a-Metaverse-Network-and-Ecosystem-Powered-by-Its-Morpheus-Technology from a16z crypto, SoftBank, Mirana Ventures, CMT Digital, and SIG. About the Role: DreamDEX makes a hard claim: CEX execution without DEX custody. A fully on-chain CLOB with sub-10ms, zero trading fees, self-custody and transparent rules, competing head-on with Hyperliquid, Lighter and the large centralised exchanges. An exchange wins or dies on liquidity, and early liquidity comes from relationships. Market makers must sign and quote tight. Builders must route flow to us. Institutions must trust a new venue with size. You will own those relationships. You'll run business development for dreamDEX and carry the wider Somnia story (the L1, Somnia Agents, Prophecy) into institutional conversations. You'll work directly with the GTM leads and core team, with a mandate to source, structure and close the deals that put depth on the book and volume through it. We measure every deal by the liquidity, volume and TVL it produces. Key Responsibilities: - Own the market maker pipeline: source, pitch, negotiate and onboard MMs, from DeFi-native firms early on to an anchor tier 1 relationship, structuring deals across CLOB rewards, fee arrangements and liquidity commitments - Get DreamDEX integrated with the major spot and cross-chain aggregators, then manage those relationships so we keep winning flow on price - Build and activate the institutional pipeline: trading firms, funds, family offices, OTC desks, prime brokers and custodians, with white-glove onboarding for qualified institutions - Build an active Builder pipeline: Trading terminals, AI strategies and native apps to drive users and volume to the Dex. - Close liquidity deals that grow TVL: institutional LPs, protocol and DAO treasuries, and vault operators - Land distribution partnerships that feed the exchange: wallets, perp aggregators and bridges - Support broader Somnia BD where your network applies: ecosystem projects, stablecoin partners and treasury deals on the L1 - Feed market intelligence back to product: you hear first what MMs and institutions need (RFQ flow, reporting, credit arrangements, API features) and help shape the roadmap - Represent DreamDEX and Somnia at conferences and in the rooms where these deals get done Requirements: Must Have - Business development experience at a crypto exchange (CEX, perp DEX or spot DEX) covering market makers, institutional clients or listings - A real network across institutions in crypto and/or TradFi: trading firms, market makers, funds, prime brokers and OTC desks. You open doors on day one rather than building a list from scratch - Closed deals with measurable impact on volume, liquidity or TVL, and the ability to walk us through the numbers - A working understanding of exchange mechanics: order books, spreads and depth, perps and margin, liquidations, MM economics and incentive design - Ability to run a full deal cycle alone, from sourcing through structuring and negotiation to post-signature relationship management - Comfort operating early in a venue's life, when you are selling the roadmap as much as the product Nice to Have - TradFi background in prime brokerage, electronic trading or institutional sales - Existing relationships with DEX aggregators, wallets, custodians or vault operators - Experience taking a new venue through cold start; you have solved the empty order book problem before - Experience structuring token or incentive-based deals - Working knowledge of DeFi: CLOB DEXs, vaults, stablecoins and yield products - Experience selling to DAOs and protocol treasuries Why Join Somnia? Design The Future: Join Somnia to work remotely with a global team, earn competitive compensation with token incentives, and help build the future of Web3 at a company where your impact truly matters. First of its Kind: Make Somnia famous as the only hyperspeed L1 with native AI inference. High Stakes: Influence a brand targeting a $1M+ launch budget in the 2026 peak-fragility market. Incentives: Competitive salary + tokens. Role Location The role is remote, but we are looking for someone based on a UK-friendly timezone (+/- 4 hours). Reporting Lines This role reports to the Founder

Location: Paris, France Workplace: Hybrid We’re a team of experts pushing the limits of what’s possible, united by our common goal to unlock true freedom through digital ownership, making technology accessible for all. We believe in a world where users, creators and enterprises manage their value with ownership and freedom. Our curiosity drives us to innovate, empowering individuals on a global scale. We believe change is constant and our team moves forward as one, with a culture of problem-solving where every employee is empowered and supported to challenge tradition and create solutions. Our mission is simple: to make self-custody accessible and give people the keys to their own financial futures. If you want to make a true impact, we want you to join us at Ledger. At Ledger, we’re proud to be the global platform for digital assets and Web3, with over 20% of the world’s crypto assets secured through our Ledger devices. With our headquarters in Paris, and offices in Vierzon, Grenoble, Montpellier, London, Portland, Geneva, Zurich and Central Singapore, we have a team of around 600 professionals developing a variety of products and services to enable individuals and companies to securely buy, store, swap, grow and manage crypto assets – including the Ledger hardware wallets line with more than 7.5 millions units already sold in 200 countries.   The team To sustain the company's growth, Ledger is looking for a Senior Scala Backend Engineer to join the Cloud Wallet team. This team builds and operates the backend services that power blockchain account management, transaction processing and on-chain data aggregation across all Ledger wallet surfaces, from Ledger Live to Ledger Enterprise, the custody platform used by financial institutions. Every client transaction goes through these services, and so does every new blockchain Ledger supports. We believe in the power of functional programming to build robust and scalable platforms. We take time to share, challenge, and grow together through bi-weekly knowledge-sharing sessions, meetups, conferences, and open source contributions.   What you’ll be doing - Design, build and operate the Scala services that connect Ledger wallets and the Ledger Enterprise platform to blockchain backends: account creation, operation history, transaction crafting, broadcast and lifecycle tracking. - Lead new blockchain integrations end to end, from the integration design (ADR) to production, across account-based, UTXO and privacy-preserving chains. - Own production quality on your scope: SLIs and SLOs, observability, distributed tracing. Take part in the firefighting rotation and drive incidents to resolution, including those raised by institutional clients. - Define clear contracts with the Coin Integration and Ledger Enterprise teams, for example where UTXO selection lives or how transaction states are exposed to consumers. - Write and review ADRs, challenge designs, and raise the bar on code quality, testing (including end-to-end on testnets) and technical debt management. - Work in an AI-native way: use coding agents daily, write the specifications, constraints and verification that let them deliver safely, and contribute to the team's AI tooling. - Mentor other engineers and share your knowledge across the Backend Blockchain community.   You will collaborate cross-functionally with: - The Coin Integration team for coin modules and new blockchain integrations. - The Ledger Enterprise team, main consumer of the team's services for institutional custody. - The Ledger Wallet, Ledger Button and Wallet XP teams as consumers of the team's backend APIs. - The Blockchain platform team for data model alignment, indexing and event streaming. - The Infrastructure and SRE teams for deployment, reliability and scalability. - The Security team (Donjon) for vulnerability analysis and remediation. - The Product team for roadmap prioritization and customer-driven requirements.   What we’re looking for - 5+ years of backend engineering, with real production ownership of distributed systems. - Strong production experience - Interest for Scala and functional programming practice - Hands-on blockchain integration experience: transaction lifecycle, fees, finality, reorgs, on at least two models among account-based, UTXO and privacy-preserving chains. - Experience with event-driven systems and data infrastructure (PostgreSQL, RabbitMQ, NATS or equivalent) and with observability tooling (Datadog or equivalent). - Able to diagnose an incident across several services and own the outcome, from root cause to fix in production. - Comfortable reading and contributing to TypeScript code, as the team works on a polyglot stack. - Daily use of AI coding tools, with a critical eye on their output. - Clear written communication in English, especially for design documents and incident reports. At Ledger, we are dedicated to continually investing in our employees which is why we offer more than just salaries; we provide comprehensive compensation packages that include a wide range of benefits. Here are some of the benefits you can look forward to: - Flexible work options - Our hybrid policy allows employees to work from home up to 3 times per week - Health & Wellness support - Health and Life Insurance. - Financial growth opportunities - Employees can become shareholders in Ledger as well as other financial benefits depending on your country of work. - Commuter allowance - Ledger offers a commuter allowance to contribute to your preferred means of transportation. - Learning & Development - A comprehensive suite of training solutions providing a personalised learning experience for every employee. For regionally specific benefits, your Talent Acquisition contact will be able to provide you with more information. We’re committed to building an inclusive hiring process. If you need any adjustments or accommodations, just let us know, we’ll do our best to support you.

Задачи: — Решать сложные и абстрактные задачи тестирования самостоятельно. — Брать на себя ответственность за QA-активности. — Поддерживать и направлять других членов команды. — Выступать в роли наставника при необходимости. — Проактивно взаимодействовать с разработчиками, аналитиками и бизнес-стейкхолдерами. — Открыто и уверенно коммуницировать внутри команды. Требования: — 7–10+ лет релевантного опыта в QA / тестировании, предпочтительно на позициях старшего консультанта. — Сильный практический опыт в области платежей в банковской сфере — обязательное требование. — Глубокое понимание платежных потоков, процессов и сквозного тестирования платежей. — Опыт в функциональном, регрессионном, ручном, автоматизированном и backend тестировании. — Практические знания Java — обязательны. — Опыт автоматизации тестирования с использованием Selenium — обязателен. — Опыт тестирования сложных backend систем и интеграций. — UI тестирование встречается реже, но опыт в этой области будет преимуществом. Условия: — Полная занятость. — Долгосрочный проект. — Локация: только страны Балтии — Литва, Латвия или Эстония. — Требуется уровень английского B2+.

Location: с Аскарово Ищешь работу с возможностью карьерного развития и роста? Сбер раскроет твой карьерный потенциал! Откликайся! Обязанности * консультировать клиентов по всем продуктам и услугам Сбера, включая ипотеку * продавать банковские продукты и услуги * обучать клиентов пользоваться сервисами и продуктами Сбера * проводить кассовые операции: прием, выдача, обмен денег. Требования * имеешь образование среднее и выше * доброжелателен и готов помогать клиентам * активно используешь гаджеты и программы MS Office * готов использовать искусственный интеллект в ежедневной работе (обучение за счёт компании — есть свои курсы). Условия * ежемесячная, годовая премия 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 * уникальная система 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 * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ. Будет преимуществом опыт работы в компаниях: Россельхозбанк, Росбанк, Совкомбанк, ГазпромБанк Яндекс, Ozon, Wildberries, Деловые Линии, ВТБ, Альфа-Банк, Тинькофф Банк, МТС, Билайн, Мегафон, Ростелеком. #начало\_карьеры #работа\_без\_опыта #менеджер\_по\_продажам #консультант #менеджер\_по\_обслуживанию #обслуживание\_физических\_лиц #менеджер #специалист\_банка #работа\_для\_начинающих #консультирование #кредитные\_продукты #продажи #страхование #вклады #ипотека #кредиты #касса #работа\_с\_наличными #банковские\_ценности #прием\_платежей

Location: London, United Kingdom - Deliveroo Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. About the Team At DoorDash we’re building the industry’s most scalable and reliable delivery network to support our three-sided marketplace of consumers, merchants, and dashers. TPMs on our Engineering teams provide fundamental support to the underlying technology services as well as the engineers building these services. It’s no simple task, but it wouldn’t be interesting if it was! About the Role Money is DoorDash’s organisation responsible for the financial products and infrastructure that enable transactions across DoorDash, Wolt and Deliveroo. The domain owns how consumers pay, how merchants and couriers are paid, and how money is recorded, reconciled and reported, covering payment processing, payment methods, payouts, invoicing, financial ledgers and regulatory compliance. We are looking for a Senior Technical Program Manager to help scale Money Domain. You will lead important engineering wide initiatives across Invoicing Platform, Payment Instruments, amongst others; working with Engineering, Product, Operations, and business leaders to deliver dependable, scalable Money capabilities for the business. Programs will span backend services, partner and merchant integrations, and regulatory / compliance products. They require strong technical judgment, cross organisational coordination, stakeholder management, and ownership of results. You will report into the centralised global Technical Program Management team in Engineering, through a manager based in London. This is a hybrid role based in our London office in Cannon Street. You're excited about this opportunity because you will… Drive Money Domain’s Most Strategic Programs - You will partner closely with Engineering and Product leadership, Strategy & Operations, and cross-functional teams to turn Money Domain’s strategy into executable technical programs. Lead Complex Cross-Organization Execution — Money Domain interacts with capabilities across consumer, merchant, courier, order and enterprise domains, payment processing, payouts, fraud and risk, regulatory compliance, accounting, financial data and platform infrastructure. You will establish clear ownership and milestones, surface critical dependencies and tradeoffs, and drive alignment across teams when the path forward is not obvious. Bring Technical Depth and Systems Thinking - You will develop a deep understanding of the architecture, integrations, data flows, and operational systems behind Money Domain (Financial Systems). You will engage in technical designs, identify scaling and reliability risks, understand how decisions in one part of the system affect end-to-end consumer, rider/ courier, and merchant experiences, and help teams make pragmatic tradeoffs. Turn Ambiguity into Strategy and Action - Many of our hardest problems do not begin with a clean scope or a single owner. You will truth-seek across technical and business inputs, frame the problem, clarify the definition of success, develop a point of view on risks and options, and create an execution path that teams and leaders can align behind. Connect Engineering Execution to Business Outcomes - You will understand the merchant, partner, customer, and economic outcomes behind the work and use that context to guide prioritization and execution. We're excited about you because… You’re experienced in working with engineering teams on  large-scale distributed systems and/or b2b products. You can speak to system architecture, scalability and reliability decisions, and design trade offs. You’re a strong leader with the ability to collaborate and build relationships across organizations, bridge gaps between teams, and successfully influence without authority. You have strong ownership, urgency, and drive. You are willing to roll up your sleeves and dive into the details to understand and drive your programs. You have excellent written & verbal communication skills with the ability to communicate with confidence, clarity, and focus. You can convey concepts and considerations to non-experts and experts alike. You’ve engaged with Engineering teams on product & platform development with a thorough understanding of software development processes and project planning. You are pragmatic and detailed in your approach and focus on progress, not perfection. Qualifications Bachelor’s Degree with experience in Computer Science, Software Engineering or other related discipline. 5+ years recent experience as a Technical Programme Manager at a technology/ FinTech company, in Financial Systems. Experience with regulatory compliance in Financial Systems, e.g. SOX, PSD2, or equivalent would be an advantage. Experience in large-scale distributed systems and system architecture. Experience working directly with engineering teams on product development, with a thorough understanding of software development processes, system architecture, and scalability trade-offs. Project planning and execution skills that include reviewing technical design documents, estimating, and scheduling. Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

Location: San Francisco, California 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 next generation of revenue organizations will look very different from today's GTM teams. We're looking for a Revenue Enablement leader to help build that future, moving beyond traditional training delivery to create an AI-powered operating system that scales our revenue organization. This is not a conventional enablement role. As AI changes how products are sold, how reps learn, and how work gets done, you'll define the right balance of human and AI effort across our go-to-market teams and design the team and workflows to match. What will I be doing? Building the future of revenue execution Build a next-generation enablement function for an AI-native company, shifting from reactive training to intelligent systems that improve execution, productivity, and customer outcomes Design scalable operating models that keep pace with fast product and GTM cycles Embedding AI across the revenue lifecycle Identify high-impact opportunities in sales workflows, onboarding, coaching and feedback, product launches, customer interactions, and knowledge management Work with RevOps, Product, and Engineering to deploy AI-native tools, and drive adoption across Sales, Solutions, Partnerships, and Customer Success Connecting product to field readiness Integrate launch cycles, positioning, competitive intelligence, and field readiness so revenue teams can pivot quickly as products and customer needs evolve Leading organizational change Shape how team structures, roles, workflows, and processes evolve as we move to AI-first ways of working Lead change management, and advise executive leadership on the long-term strategy for revenue execution What skills do I need? 15+ overall years of experience, 5+ years of leading enablement teams at a technology company. Track record building or evolving enablement, GTM operations, or revenue systems functions in high-velocity SaaS or AI-native environments Mastery of strategic revenue systems, including: Complex revenue workflows High-velocity product launch cycles Next-generation GTM execution Precision sales productivity systems Hands-on experience operationalizing AI-powered tools and workflows across the revenue lifecycle Strong cross-functional partnership with Product, Engineering, PMM, Sales, and RevOps Ability to combine systems thinking with fast execution Experience leading complex organizational change We're intentionally looking beyond traditional enablement backgrounds. Strong candidates may come from GTM strategy and operations, commercialization, product operations, AI workflow design, or product-led GTM. You might be a fit if you: Think in systems and adapt quickly Thrive in ambiguity and enjoy building where no playbook exists Believe AI will fundamentally reshape how revenue organizations operate *Proof of eligibility to work in the United States is required. The base salary range for candidates within the San Francisco Bay Area is $310,000 - $332,000. Actual base pay will depend on a variety of factors such as education, skills, experience, location, etc. The base pay range is subject to change and may be modified in the future. All regular employees may also be eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs). #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.

Задачи: — Разрабатывать Android-функции от технического дизайна до продакшена с полной ответственностью. — Участвовать в разработке мобильного продукта, преимущественно на Android, с возможностью сотрудничества с командами Android и iOS. — Формировать архитектуру, участвовать в решениях по слоям данных, управлению состоянием, модульности и паттернам мобильной платформы. — Проводить и принимать код-ревью, обеспечивая честную и конструктивную обратную связь. — Сотрудничать с командами Product, Design, iOS, Android и Backend. — Улучшать существующий код, способствовать миграции на Compose, повышать качество, производительность и поддерживаемость мобильных приложений. — Делиться знаниями, участвовать в технических обсуждениях, распространять лучшие практики. Требования: — Опыт разработки production Android-приложений на Kotlin не менее 4 лет. — Практический опыт с Jetpack Compose и реальными выпущенными функциями. — Глубокое понимание чистой архитектуры, умение объяснять, когда и почему можно нарушать правила. — Опыт создания или значительного развития слоя данных, включая репозитории, кэширование и обработку ошибок. — Опыт работы с Kotlin Coroutines и Flows, REST API или backend-for-frontend паттернами. — Умение ясно объяснять архитектурные решения в команде и в pull request. — Прагматичный подход к балансу качества кода, поддерживаемости и сроков доставки. — Хорошее владение английским языком, так как команда международная. Условия: — Гибридный формат работы в Белграде. — 25 дней отпуска в год. — Частная медицинская страховка. — Множество командных активностей и бонусов. — Бесплатный доступ к LinkedIn Learning и ежегодный бюджет на личное развитие. — Схема участия в прибыли. — Корпоративный телефон (iPhone или Android). — Комфортный офис с 80 парковочными местами. — Отличное оборудование, конкурентная зарплата и дополнительные льготы, включая абонемент в спортзал и скидки в местных магазинах.

Location: United States Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. We’re hiring a Product Manager with deep UX and interaction design expertise to build social experiences around investing and trading at Kraken. You should be comfortable designing flows yourself, building interactive prototypes, and working through interaction details with designers and engineers. You’ll also own the product decisions: which customer problem to solve, what to ship first, and how to measure whether the experience improved. THE OPPORTUNITY - Design complete social journeys. Work through how someone discovers a person, decides to follow them, shares an idea or trade, receives a response, and returns. Connect these interactions into an experience users understand without explanation. - Make the interaction details work. Shape navigation, information hierarchy, copy, defaults, gestures, and feedback. Specify what happens when a feed is empty, a post fails, content loads slowly, or someone changes their mind. - Prototype before committing to a build. Turn ideas into interactive prototypes that communicate the intended behavior. Explore alternatives, test the uncertain parts, and give engineering clear flows, states, and acceptance criteria. - Use psychology to improve participation. Understand why people hesitate to post, seek recognition, follow strangers, or respond to others. Translate those motivations into decisions about audience visibility, prompts, reputation, feedback, and the effort required to contribute. - Observe users and fix what gets in their way. Run usability sessions, watch people complete tasks, and combine those observations with funnel data. Identify where people misunderstand the product, lose confidence, or abandon an action. - Design for first use and repeated use. Make the experience useful before someone has connections. Keep sharing lightweight during an active trading session, with clear control over what becomes public. Test the twentieth interaction as carefully as the first. - Connect design decisions to measurable outcomes. For each significant change, define the expected behavior and how to test it. Track task completion, abandonment, first follows, first contributions, responses, and subsequent retention. Work with data science to evaluate experiments and effects on both contributors and their audiences. - Take the experience through launch. Choose a focused initial scope, resolve trade-offs with engineering, review the implementation against the intended design, and use post-launch evidence to decide what to improve next. WHAT YOU BRING - Has designed and shipped consumer social experiences. Your portfolio shows your contribution to feeds, profiles, sharing, messaging, discovery, or communities—and how the experience changed after launch. - Has strong interaction design craft. You can explain why a flow is structured a particular way, what users will notice first, what they need to understand, and which decisions or steps can be removed. - Can build realistic interactive prototypes. You use Figma, code, AI tools, or a combination to make behavior tangible and testable, including transitions, empty states, and failure states. - Understands behavior through evidence. You can show where user research challenged your assumptions and changed a design. - Can own product outcomes. You can prioritize a problem, define success, interpret funnel and cohort data, and explain whether an experiment produced a meaningful improvement. - Understands the context of social finance. You account for how credibility, incentives, reputation, and visibility of financial activity affect what people trust and choose to share. Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on Twitter https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Location: United Kingdom; Brazil; United Arab Emirates; Ireland; Peru; Sweden; Colombia; Argentina; Romania; Cyprus; Switzerland; Portugal; Lithuania; South Africa; Czech Republic; Canada; Hungary; Mexico; Chile; Poland; Spain; Bulgaria Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. We’re hiring a Product Manager with deep UX and interaction design expertise to build social experiences around investing and trading at Kraken. You should be comfortable designing flows yourself, building interactive prototypes, and working through interaction details with designers and engineers. You’ll also own the product decisions: which customer problem to solve, what to ship first, and how to measure whether the experience improved.   THE OPPORTUNITY - Design complete social journeys. Work through how someone discovers a person, decides to follow them, shares an idea or trade, receives a response, and returns. Connect these interactions into an experience users understand without explanation. - Make the interaction details work. Shape navigation, information hierarchy, copy, defaults, gestures, and feedback. Specify what happens when a feed is empty, a post fails, content loads slowly, or someone changes their mind. - Prototype before committing to a build. Turn ideas into interactive prototypes that communicate the intended behavior. Explore alternatives, test the uncertain parts, and give engineering clear flows, states, and acceptance criteria. - Use psychology to improve participation. Understand why people hesitate to post, seek recognition, follow strangers, or respond to others. Translate those motivations into decisions about audience visibility, prompts, reputation, feedback, and the effort required to contribute. - Observe users and fix what gets in their way. Run usability sessions, watch people complete tasks, and combine those observations with funnel data. Identify where people misunderstand the product, lose confidence, or abandon an action. - Design for first use and repeated use. Make the experience useful before someone has connections. Keep sharing lightweight during an active trading session, with clear control over what becomes public. Test the twentieth interaction as carefully as the first. - Connect design decisions to measurable outcomes. For each significant change, define the expected behavior and how to test it. Track task completion, abandonment, first follows, first contributions, responses, and subsequent retention. Work with data science to evaluate experiments and effects on both contributors and their audiences. - Take the experience through launch. Choose a focused initial scope, resolve trade-offs with engineering, review the implementation against the intended design, and use post-launch evidence to decide what to improve next.   WHAT YOU BRING - Has designed and shipped consumer social experiences. Your portfolio shows your contribution to feeds, profiles, sharing, messaging, discovery, or communities—and how the experience changed after launch. - Has strong interaction design craft. You can explain why a flow is structured a particular way, what users will notice first, what they need to understand, and which decisions or steps can be removed. - Can build realistic interactive prototypes. You use Figma, code, AI tools, or a combination to make behavior tangible and testable, including transitions, empty states, and failure states. - Understands behavior through evidence. You can show where user research challenged your assumptions and changed a design. - Can own product outcomes. You can prioritize a problem, define success, interpret funnel and cohort data, and explain whether an experiment produced a meaningful improvement. - Understands the context of social finance. You account for how credibility, incentives, reputation, and visibility of financial activity affect what people trust and choose to share.       Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on Twitter https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Задачи: — Обеспечение развертывания нашего программного обеспечения и связанного ПО — Проектирование и реализация компонентов в инструментах автоматизации, расширение и замена текущего кода для обновления с новыми функциями — Внесение идей по улучшению приложений и упрощению их использования — Поддержка развернутых облачных сред Требования: — Четкое понимание основ операционных систем Linux — Опыт системного и сетевого администрирования — Опыт управления физическими серверами HP, Supermicro, IBM — Опыт работы с физическим сетевым оборудованием HP, Cisco, Juniper — Опыт работы с системами хранения данных и/или FibreChannel SAN — Хорошие знания систем виртуализации Linux — Опыт работы с управлением логами и мониторингом — Опыт работы с инструментами автоматизации Ansible или Chef — Знание Git, Python и Shell-script для системных операций — Письменный английский достаточен Будет плюсом: — Опыт работы в ISP, хостинг-провайдере или сетевом операторе — Знание гипервизоров (KVM, Xen, HyperV, VMware) — Опыт работы с облачными платформами OpenStack, GCP, AWS — Опыт работы с Docker, Kubernetes — Опыт работы с дата-центрами — Опыт работы с программно-определяемыми сетями Условия: — Работа над интересным проектом с командой опытных профессионалов — Все условия для быстрого профессионального роста и усложнения задач — Конкурентная заработная плата с регулярным пересмотром — Гибкий график работы с учетом вашего часового пояса — Пятидневная рабочая неделя, 8 часов в день (понедельник-пятница) — Ежедневная практика английского языка в процессе работы — Возможность посещать конференции, митапы и другие профессиональные мероприятия

Задачи: — Эксплуатация и тюнинг СУБД: полный контроль над состоянием, профилированием и оптимизацией PostgreSQL под конфигурацию серверов в AWS; — Настройка и сопровождение отказоустойчивости и HA/DR: репликация, Patroni, PgBouncer, бэкапирование и катастрофоустойчивость; — Проактивный мониторинг: поиск медленных запросов (pg_stat_statements, анализ планов выполнения), оптимизация индексов, помощь разработчикам; — Развитие в Data Engineering: участие в построении ETL-пайплайнов и работа со смежным стеком данных (до 60% задач в перспективе); — Автоматизация: написание скриптов для сбора метрик, диагностики и обслуживающих процессов на Python и Bash. Требования: — Опыт от 5 лет в роли экспертного PostgreSQL DBA в высоконагруженных продакшн-средах; — Глубокое понимание PostgreSQL: процессы, память, WAL, блокировки, тонкая настройка autovacuum под High-Load; — Практический опыт с отказоустойчивыми связками (Patroni, PgBouncer, потоковая репликация); — Опыт работы с PostgreSQL в облачной инфраструктуре AWS (EC2 / RDS); — Желание развиваться в Data Engineering (ETL, пайплайн-инструменты); — Английский язык от уровня B2 / Upper-Intermediate для устного общения. Будет плюсом: — Опыт работы с инструментами Data Engineering (Airflow, Python-пайплайны); — Навыки программирования на C; — Опыт проведения миграций и мажорных апгрейдов больших баз данных. Условия: — Достойный оклад ($6000–9000); — Возможность освоить Data Engineering на реальных больших данных с поддержкой ментора; — Стабильный и технически зрелый проект без «пожаров» и хаоса; — Гибкий график работы и высокая степень инженерной автономии.

О компании: KIEFER строит интегрированную AI-экосистему в Греции, объединяя инфраструктуру возобновляемой энергетики, AI-системы, робототехнику и корпоративные приложения. Основана в 2014 году, компания реализовала проекты энергетики мощностью более 600 МВт и сейчас развивает суверенную AI-инфраструктуру, корпоративные AI-продукты и физические AI-системы для Греции и Юго-Восточной Европы. О роли: Ищем Senior Machine Learning Engineer для команды Kiefer Tech в Польше. Ваша задача — развитие и постоянное улучшение Sophea AI, расширение возможностей LLM на европейских языках, с особым акцентом на польский язык. Вы будете заниматься предобучением LLM, обучением с нуля, тонкой настройкой, оценкой моделей, оптимизацией вывода и созданием ML-систем промышленного уровня. Роль требует практического опыта работы с LLM и понимания улучшения качества, производительности и надежности моделей в реальных продуктивных условиях. Классические ML, компьютерное зрение, базовые RAG или высокоуровневые AI-инструменты недостаточны. Задачи: — Работа с Sophea AI: обучение LLM с нуля, тонкая настройка, оценка и постоянное улучшение моделей — Создание ML-пайплайнов промышленного уровня для вывода, обслуживания, деплоя, мониторинга и управления жизненным циклом моделей — Оптимизация производительности моделей в продакшене: задержка, пропускная способность, эффективность затрат, квантизация, использование GPU — Работа с датасетами, экспериментами, бенчмарками и методами оценки для улучшения качества языковых моделей и их адаптации к доменам Требования: — Практический опыт работы с LLM, включая тонкую настройку, оценку и улучшение производительности — Опыт ML-инжиниринга с Python, PyTorch, Docker и промышленными ML-практиками — Опыт с обслуживанием моделей, оптимизацией вывода, квантизацией, нагрузкой на GPU и фреймворками типа vLLM, SGLang, NVIDIA Triton, TensorRT, TGI или аналогичными — Умение создавать ML-системы промышленного уровня, а не только исследовательские прототипы или скрипты — Владение польским языком на уровне носителя Желательно: — Опыт предобучения и обучения моделей — Опыт с ASR-системами, речевыми моделями или конвейерами распознавания речи — Опыт работы с моделями на неанглийских языках, мультиязычными моделями или адаптацией для языков с низкими ресурсами — Опыт с MLOps инфраструктурой, трекингом экспериментов, пайплайнами обслуживания моделей и управлением нагрузкой на GPU — Вклад в open-source ML проекты или публикации в области AI/ML Условия: — Конкурентный компенсационный пакет, соответствующий рынку талантов — Влияние: практическая роль в Sophea AI — одном из самых амбициозных AI-продуктов, ориентированных на Грецию — Формат работы: возможность удалённой работы, поддержка релокации для кандидатов, готовых работать из офиса в Афинах — AI-native среда: реальные задачи по LLM, обучению, тонкой настройке, оптимизации вывода, нагрузке на GPU и промышленным AI-системам — Экосистема NVIDIA: доступ к конференциям, сертификациям, внутреннему обмену знаниями и продвинутой AI-инфраструктуре через стратегическое сотрудничество Kiefer — Культура: инженерный подход, высокая автономия, низкая бюрократия и возможность создавать значимые AI-продукты

Описание вакансии IT-компания ARTW — один из лидеров крупной веб-разработки и внедрения корпоративных порталов, интеграции комплексных инфраструктурных решений для российского бизнеса в сферах ecommerce, ритейла, производства, телекоммуникаций и нефтегазового сектора. 20 лет на рынке, штат более 150 человек. Некоторые клиенты: НПФ Открытие, X5 Group, Газпром, О’кей, ЛУКОЙЛ, МТС, Рольф, Ростелеком, Ozon, IBS. Основные специализации: крупная веб-разработка, разработка и внедрение корпоративных порталов, мобильная разработка, продуктовая аналитика, ux/ui дизайн. Проекты компании регулярно отмечаются профессиональным сообществом, в том числе наградами конкурсов Tagline Awards, Рейтинг Рунета, Золотой Сайт и других. Требования: - IaC: Terraform, Ansible - Cloud: Cloud ru - Container orchestration: Kubernetes, Helm - CI/CD: GitLab CI/CD, GitLab Runner - Secrets: HashiCorp Vault - IAM: Keycloak - Service Mesh: Istio - Metrics: Prometheus - Visualization: Grafana - Logs: Loki, Grafana Alloy - DNS / Security: DNS, TLS, CA/PKI - AI Observability: Langfuse - Policy as Code: OPA, OPAL - OS / Automation: Linux, Bash/Python Что предлагаем: - Работу в аккредитованной IT-компании - Есть возможность работать полностью удаленно или в офисе - Индивидуальный план развития — мы готовы обучать своих сотрудников и расти вместе! Процесс собеседования: - Интервью с рекрутером ARTW (10-15 минут) - Интервью с руководителем отдела и HR (1 час) - Оффер

Location: London, United Kingdom - Deliveroo Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Senior Software Engineer, GenAI Platform About the Team Deliveroo's GenAI Platform team sits within Machine Learning Platform and builds the shared infrastructure that helps DoorDash, Wolt, and Deliveroo teams safely bring GenAI-powered products, agents, automation, and personalisation to production. Our mission is to increase the velocity of business impact from GenAI. A central pillar of that work is running frontier open-weight LLMs and VLMs (such as GLM, Qwen, Kimi, and DeepSeek) ourselves — real-time GPU serving, high-throughput batch inference, and fine-tuning on autoscaling GPUs — delivering large cost and latency wins (for example, a billion embeddings produced roughly 20× cheaper and visual models served roughly 72% cheaper). We also own core platform surfaces including the LLM Gateway, Agent Gateway, evals infrastructure, guardrails, and cost attribution. About the Role You will join a small, high-leverage team building production infrastructure for Generative AI at Deliveroo and DoorDash, leading the design and architecture of our open-weights model platform spanning inference and fine-tuning: real-time GPU serving, high-throughput batch inference, and model fine-tuning. You’ll set technical direction across model serving and inference engines, fine-tuning and training pipelines, GPU autoscaling and utilization, batch pipelines, backend services, and observability, and mentor engineers as you go. This role is ideal for a senior engineer who enjoys owning ambiguous, high-impact systems and pushing the cost/performance frontier of GPU inference and fine-tuning in a fast-moving technical area where product needs, model capabilities, vendor ecosystems, and cost/performance tradeoffs are evolving quickly. You’re excited about this opportunity because you will… Lead the design of infrastructure that helps teams move GenAI ideas from prototype to production, increasing the velocity of business impact from AI across the company. Own and evolve our open-weights serving stack — real-time GPU endpoints, high-throughput batch inference, and fine-tuning (SFT/DPO/LoRA) — alongside the LLM Gateway, Agent Gateway, evals infrastructure, guardrails, and cost attribution. Architect scalable, high-performance systems for model serving, batch inference, GPU autoscaling, and fine-tuning that power real customer and internal automation use cases Push the cost and latency frontier of GPU inference — turning batch jobs that took days into hours and cutting inference cost by multiples — while giving product teams a clean choice across open-weight and closed-source models with reliability, fallback, observability, and cost controls built in. Build platforms that support rapid experimentation while meeting production standards for latency, scale, monitoring, SLOs, playbooks, and operational excellence. Partner closely with — and raise the technical bar for — ML engineers, product engineers, data scientists, and platform teams across DoorDash, Wolt, and Deliveroo to turn emerging GenAI capabilities into durable platform primitives. Set technical direction for the future of the company's centralised GenAI platform — including emerging directions such as reinforcement learning (RLHF/RLVR), agent optimisation, and other post-training and agentic techniques — enabling the next generation of AI-powered products, agents, automation, and personalisation. We’re excited about you because… BSc, MSc or PhD in Computer Science or equivalent 5+ years of industry experience in software engineering Deep backend engineering fundamentals, especially in Python and distributed systems. Track record of designing and owning production services, APIs, data pipelines, or ML infrastructure at scale. Experience operating systems in production, including observability, debugging, reliability, incident response, and performance/cost optimization. Deep hands-on experience with LLM inference and/or fine-tuning of open-weight models in production — serving (latency, throughput, batching, autoscaling, GPU utilization) and/or fine-tuning (SFT/DPO/LoRA). Demonstrated technical leadership: leading design across ambiguous, fast-moving technical areas, mentoring engineers, and turning customer use cases into reusable platform capabilities Proficiency in using AI coding tools (e.g., Claude Code, Codex, Cursor) in the full software development lifecycle, including designing, generating code, testing, monitoring and releasing software Nice To Haves Experience with LLM inference engines and serving frameworks (e.g., vLLM, SGLang, TensorRT-LLM) in production Experience with distributed/multi-node fine-tuning and training pipelines (SFT, DPO/RLHF, LoRA), including data preparation and evaluation GPU performance work — multi-node/distributed inference, KV-cache/memory optimisation, quantisation (FP8/INT8/AWQ/GPTQ), or cold-start/throughput tuning Experience with Kubernetes, cloud infrastructure (AWS/GCP), GPUs, serverless/elastic GPU platforms (e.g., Modal), or high-throughput batch systems Experience with LLM gateways, model routing, vendor abstraction, or cost attribution Experience building developer platforms, internal platforms, or self-serve infrastructure Experience building and deploying AI agents or MCP servers in production Experience with eval systems, LLM observability, tracing, RAG, search, or vector databases Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

We're hiring a Senior Product Analyst at Intch. The role is not about dashboards. The company runs 10+ A/B tests in parallel on weekly sprints, requiring fast decision-making. The Senior Product Analyst will be the first and only product analyst, responsible for challenging decisions with data and bringing insights that nobody has asked for yet.

Задачи: — связка native-платформ iOS/Android с Flutter: работа с native APIs, embedders и platform adaptation code, глубокая работа на стороне iOS/Android и интеграция этих компонентов с Flutter. Требования: — глубокий native/platform-level expertise. — коммерческий опыт с C++. — будет плюсом опыт с современными native API, особенно связанными с multi-window applications, либо сильный опыт в native development и готовность быстро разобраться с этой частью.

Задачи: — Работа с AWS инфраструктурой, включая VPC, IAM, EKS, RDS. — Управление Kubernetes платформой (EKS) с использованием Karpenter, Cilium, Istio. — Автоматизация процессов с помощью инфраструктуры как кода (Terraform, Terramate) и GitOps (ArgoCD, Atlantis). — Поддержка CI/CD процессов. — Обеспечение наблюдаемости с использованием Grafana, Loki, Tempo, Prometheus. — Участие в on-call ротации и решение инцидентов в продакшене. — Разработка внутренних инструментов на Go для автоматизации повторяющихся задач. Требования: — Несколько лет опыта эксплуатации production-систем на AWS и Kubernetes с реальной ответственностью on-call. — Глубокие знания AWS (VPC, IAM, EKS, RDS). — Практический опыт с Terraform и GitOps-подходом (ArgoCD, Atlantis, Flux или аналогичные). — Умение писать код, опыт или готовность изучать Go. — Сильные навыки расследования, отладки и решения проблем. — Быстрое обучение и адаптация к новым технологиям. — Свободное владение английским языком для коммуникации с командами инженерии, продукта и безопасности. Условия: — Удалённая, офисная или гибридная работа (Лимассол, Кипр). — Гибкий график работы. — Конкурентная зарплата и пакет опционов. — Оборудование для комфортной и продуктивной работы. — Премиум подписка SIMPLE. — 21 день оплачиваемого отпуска плюс праздничные дни. — Фокус на результатах, а не на времени за столом.

Ищем ответственного, инициативного специалиста для команды inDrive, владеющего анализом временных рядов и способного видеть общую картину по метрикам продукта компании. Задачи: — участие в проекте, направленном на повышение операционной эффективности компании; — поддержка бюджетных циклов и планирования KPI по всем вертикалям inDrive.