Вакансии

Требуется Team Lead Account Manager с опытом в affiliate/продажах и управлении командой от 1 года.

Задачи: — Руководить проектированием и развитием масштабируемых распределённых систем на Go — Отвечать за интеграцию и конфигурацию AI — от выбора моделей и интеграции API до prompt engineering и развертывания в продакшене — Переводить бизнес-цели в технические дорожные карты и планы поставки — Проводить архитектурные и код-ревью, наставлять старших инженеров — Представлять инженерную команду на встречах с внешними заинтересованными сторонами и оспаривать нереалистичные требования — Улучшать процессы CI/CD, наблюдаемости и инженерные процессы — Балансировать между кодированием, руководством командой и архитектурным контролем Требования: — 5–6+ лет коммерческого опыта с Go — 2+ года в роли технического лидера или ведущего инженера — Глубокие знания распределённых систем, микросервисов и конкурентности в Go (goroutines, каналы, синхронизация) — Практический опыт внедрения, настройки или интеграции AI/ML решений в продакшн-бэкендах, включая работу с LLM, RAG pipeline, OpenAI API, LangChain или аналогичными фреймворками — Опыт с CI/CD, облачной инфраструктурой и современными DevOps практиками — Высшее образование в IT — Готовность работать по CEST и использовать корпоративный ноутбук — Готовность выполнить live coding на Go во время интервью Условия: — Работа над долгосрочным продуктом с реальным бизнес-эффектом — Международная распределённая команда с коллаборативной культурой — Возможность взять ответственность за зрелое приложение — Гибкие условия работы и удалёнка

Location: Mexico City Workplace: Hybrid Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. Job Description: As the Due Diligence Team Leader at Checkout.com http://Checkout.com, you will play a critical role in overseeing and guiding a team of due diligence analysts. You will be responsible for ensuring the efficient and compliant execution of all due diligence processes, fostering a culture of high performance and continuous improvement within the team. Key Responsibilities: - Lead, mentor, and develop the due diligence team, ensuring high standards of productivity, accuracy, and compliance. - Oversee and streamline due diligence procedures, identifying process enhancements and implementing best practices. - Act as the escalation point for complex cases and guide team members in resolving challenging due diligence matters. - Monitor team performance, set clear objectives, and provide regular feedback and coaching. - Collaborate with cross-functional teams, including Compliance, Risk, and Operations, to ensure alignment with regulatory requirements and company standards. - Prepare and present reports on due diligence activities, trends, and risk insights to senior management. - Support ongoing training and development to keep the team updated on regulatory changes and evolving industry standards. Requirements: - Proven experience in due diligence, financial compliance, or a related field, ideally with team leadership exposure. - Strong understanding of relevant regulations and best practices in due diligence and AML (Anti-Money Laundering). - Excellent leadership and people management skills, with the ability to motivate and guide teams. - Exceptional analytical and problem-solving abilities. - Strong communication and interpersonal skills, with a collaborative approach to cross-team work. - High attention to detail and strong organizational skills. - Ability to prioritize, manage multiple tasks, and work effectively in a dynamic. Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/

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. Offering spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. Kraken Pro is where serious traders work. Tight spreads, deep books, an API people actually build on. The people who use it are demanding, opinionated, and allergic to marketing. We want someone who belongs in that room. Not a brand account with a person behind it, but a trader's trader who happens to be very good at building community. Come here to build and grow this Community for us.   THE OPPORTUNITY - Live in the trenches. Discord, Telegram, X, TradingView, Reddit, the group chats you're already in at 3am. You're not "monitoring channels". You're a participant, with standing. - Be the fastest voice in the room. When a chain halts, a listing drops, or the market goes vertical, you're posting before the screenshots start circulating. Speed with accuracy, not vibes. - Build the inner circle. Stand up an ambassador and power-user program: the market makers, quant desks, and high-volume traders who'll tell you the truth about the product. Give them a reason to stay loud. - Run the room in public. AMAs, live trading sessions, feature launches, competitions, post-mortems when we get something wrong. Own the format, don't just attend it. - Close the loop with Product. You'll be the first to hear that the order entry flow is broken. Your job is to get it to the PM with receipts, then go back and tell the community what happened. - Write things people screenshot. Threads on microstructure, teardowns of new features, release notes that don't read like release notes. - Prove it worked. Sentiment, share of voice, community-sourced signups, retention of the accounts that matter. You bring the numbers to the table before anyone asks.   WHAT YOU’LL BRING - You trade. Actual positions, actual scars. You can hold a conversation about funding rates, maker/taker economics, slippage, and latency without reaching for a glossary. - 3+ years running community or social for a product with a technical, skeptical audience. Crypto, fintech, gaming, or dev tools all count. - You write fast and well. Short-form that lands, long-form that holds up under scrutiny from people smarter than the average follower. - You have thick skin and good instincts. Crypto community management means getting yelled at with an audience watching. You de-escalate without going corporate and you know when to push back. - You've built something from a standing start, not just maintained an existing account. - You operate without a brief. Markets don't wait for approval chains, and neither should you… because you know where the line is and you don't need a committee to find it. - You're comfortable with the ambiguity of a company that ships constantly and reorganizes around opportunity. 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 X 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. Offering spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. Kraken Pro is where serious traders work. Tight spreads, deep books, an API people actually build on. The people who use it are demanding, opinionated, and allergic to marketing. We want someone who belongs in that room. Not a brand account with a person behind it, but a trader's trader who happens to be very good at building community. Come here to build and grow this Community for us. THE OPPORTUNITY - Live in the trenches. Discord, Telegram, X, TradingView, Reddit, the group chats you're already in at 3am. You're not "monitoring channels". You're a participant, with standing. - Be the fastest voice in the room. When a chain halts, a listing drops, or the market goes vertical, you're posting before the screenshots start circulating. Speed with accuracy, not vibes. - Build the inner circle. Stand up an ambassador and power-user program: the market makers, quant desks, and high-volume traders who'll tell you the truth about the product. Give them a reason to stay loud. - Run the room in public. AMAs, live trading sessions, feature launches, competitions, post-mortems when we get something wrong. Own the format, don't just attend it. - Close the loop with Product. You'll be the first to hear that the order entry flow is broken. Your job is to get it to the PM with receipts, then go back and tell the community what happened. - Write things people screenshot. Threads on microstructure, teardowns of new features, release notes that don't read like release notes. - Prove it worked. Sentiment, share of voice, community-sourced signups, retention of the accounts that matter. You bring the numbers to the table before anyone asks. WHAT YOU’LL BRING - You trade. Actual positions, actual scars. You can hold a conversation about funding rates, maker/taker economics, slippage, and latency without reaching for a glossary. - 3+ years running community or social for a product with a technical, skeptical audience. Crypto, fintech, gaming, or dev tools all count. - You write fast and well. Short-form that lands, long-form that holds up under scrutiny from people smarter than the average follower. - You have thick skin and good instincts. Crypto community management means getting yelled at with an audience watching. You de-escalate without going corporate and you know when to push back. - You've built something from a standing start, not just maintained an existing account. - You operate without a brief. Markets don't wait for approval chains, and neither should you… because you know where the line is and you don't need a committee to find it. - You're comfortable with the ambiguity of a company that ships constantly and reorganizes around opportunity. 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 X 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: Remote Canada At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. We are seeking a highly motivated and analytical individual to join our Growth Analytics International team. This team plays a crucial role in conducting research, monitoring performance, and running experiments to develop exceptional products for both consumers and merchants while driving long-term growth for the business. As Affirm continues expanding into new international markets, this role will be instrumental in establishing the operational analytics framework for new launches, beginning with Australia and expanding into future international markets. The ideal candidate will possess strong analytical and problem-solving abilities, a collaborative mindset, an eagerness to learn, and the patience to tackle complex challenges. Our team takes an end-to-end business analytics perspective, partnering across the organization to develop recommendations and solutions that enable the business to successfully execute its growth and profitability strategies. This role requires someone who can combine analytical rigor with business acumen to influence decisions and drive measurable outcomes. What you’ll do Establish and evolve the operational analytics framework for new international markets, ensuring scalable measurement, reporting, and decision-making capabilities as we expand globally. Operate with a business owner mindset by proactively identifying opportunities through analysis and product sense to enhance user experience, growth, and profitability. Own business problems from end to end by translating analytical insights into recommendations and optimization strategies that support business growth, profitability, and operational excellence. Take ownership of the end-to-end analytics process: define success metrics, generate insights and hypotheses, track performance, and create intuitive dashboards and reports that can be easily shared across the organization. Develop scalable analytics solutions and data models. Tackle ambiguous problems by identifying the core hypotheses and designing actionable experiments to validate product-market fit and economic viability. Translate analytical findings into clear and compelling narratives and business cases for leadership to inform decision-making. Spearhead weekly cross-functional metric reviews, collaborating with partners to conduct deep dives into significant metric shifts and suggest actionable steps. Partner effectively across Product, Risk, Finance, Commercial, and Operations to align strategies and execute against business objectives. Foster strong cross-functional relationships and establish yourself as a trusted advisor to team members. Mentor and guide junior analysts to deliver high-impact work that drives business results. What we look for: Passion to redefine the lending and financial industry for the better. Strong understanding of the consumer lending and credit industry, including lending economics, portfolio performance, and credit metrics. Experience supporting international lending markets, particularly Europe and/or APAC, is highly desirable. Demonstrated ability to balance growth objectives with profitability and develop data-driven growth strategies. Bachelor's or Master's degree in a quantitatively rigorous subject area such as statistics, mathematics, finance, or economics. 5+ years of proven success in a cross-functional analytical role. Practical and theoretical knowledge of A/B testing. Experience with SQL and performing statistical analysis using Python. Experience simultaneously balancing multiple workstreams and prioritizing an analytics roadmap. Demonstrated curiosity and a growth mindset, with hands-on experience using AI-powered tools such as Cursor, Claude, or similar assistants to accelerate analysis, automate workflows, enhance problem-solving, and advocate for AI adoption across analytical workflows. Strong interpersonal and communication skills, with the ability to influence both technical and non-technical audiences. Comfortable partnering across multiple cross-functional teams, particularly Product, Risk, Commercial, Finance, and Operations. Ability to think creatively and critically while thriving in a fast-paced, dynamic, and often ambiguous work environment. Willingness to go out of your way to help teammates, with humility and a team-first mindset. Previous experience mentoring and guiding junior analysts. Compensation & Benefits Base Pay Grade - M Equity Grade - 5 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company). CAN base pay range per year: $145,000 - $205,000 #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

Задачи: — Искать и приоритизировать гипотезы роста внутри продукта и клиентской воронки — Увеличивать конверсию в онбординге, активацию, частоту использования продукта и retention — Вместе с продуктовыми командами влиять на пользовательский опыт и продуктовый roadmap — Развивать коммерческий онбординг и CRM-механики — Вместе с digital-командой определять эффективный микс каналов и коммуникаций — Выстраивать единый backlog growth-гипотез и доводить инициативы от идеи до результата — Управлять командой продуктовых маркетологов и координировать работу CRM и digital — Отвечать за ключевые показатели клиентской воронки. Требования: — Хорошее понимание продуктового маркетинга, CRM и digital — Умение работать с воронками, activation и retention — Умение формулировать и проверять гипотезы на основе данных — Навык быть сильным организатором и уметь управлять несколькими направлениями одновременно — Способность работать с самостоятельными командами без микроменеджмента — Желание сохранять hands-on подход и уметь самостоятельно погружаться в продуктовые задачи. Условия: — Работа в сильной драйвовой команде — Сложные и амбициозные проекты для сервисов с сотнями тысяч пользователей — Возможность влиять на процессы и результаты в бизнесе — Здоровое взаимодействие с руководителем, ставка на доверие и свободу вместо микроменеджмента — Комфортная среда и дружеская коммуникация — Оформление в аккредитованную IT-компанию по ТК РФ: больничный, отпуск — ДМС со стоматологией (после 3-х месяцев работы) — Зарплата в рынке, зависит от уровня, готовы обсуждать — Гибридный/офисный формат работы, гибкое начало дня — Техника и любые нужные для работы устройства

Задачи: — Возглавлять команду Data Scientists, участвовать в найме, онбординге и развитии сотрудников; — Обеспечивать операционную деятельность: дейли-митинги, спринт-планирование, ретроспективы, демо; — Формировать и развивать бэклог задач, определять приоритетные бизнес-задачи и оценивать ценность решений; — Выстраивать кросс-функциональное взаимодействие с Data Engineering, MLOps и бизнес-подразделениями, договариваться о приоритетах и ресурсах; — Отвечать за полный жизненный цикл моделей: сбор данных, разметка, обучение, валидация, деплой, мониторинг; — Руководить проектированием и внедрением решений; — Обеспечивать разработку, валидацию и мониторинг моделей, включая стандарты, политики и документооборот; — Проводить архитектурные ревью, задавать стандарты качества кода и документации; — Принимать участие в написании production-кода; — Контролировать соблюдение сроков и качества результатов; — Переводить бизнес-проблемы в технические задачи, формулировать гипотезы, определять метрики успеха и критерии приемки; — Презентовать результаты и влияние моделей бизнес-заказчикам, защищать метрики качества; — Отвечать за разработку и согласование единых стандартов разработки моделей внутри подразделения. Требования: — Высшее техническое образование в области прикладной математики, информатики, компьютерных наук или смежных дисциплин; — Совокупный опыт в Data Science и машинном обучении от 5 лет; — Управленческий стаж минимум 2 года на позиции тимлида или руководителя ML-подразделения с прямым подчинением инженеров и дата-сайентистов; — Успешная реализация комплексных проектов полного цикла с выводом в промышленную эксплуатацию; — Опыт внедрения моделей в production и построения системы мониторинга их качества; — Глубокое владение Python и SQL; — Практика работы с пайплайнами оркестрации (Airflow), распределённой обработкой данных (Spark), контейнеризацией (Docker) и системами контроля версий (Git); — Опыт работы с большими данными в среде S3/Hadoop и аналитическими СУБД ClickHouse, Greenplum; — Уверенное знание классического ML-стека: градиентный бустинг, линейные алгоритмы, а также специализированные подходы — uplift-моделирование и антифрод-системы; — Навыки декомпозиции сложных задач, распределения нагрузки, контроля сроков и качества delivery; — Навыки эффективного взаимодействия с бизнес-заказчиками и смежными командами (Data Engineering, MLOps, Product); — Владение инструментами командной работы Jira и Confluence. Условия: — Конкурентоспособная заработная плата, ориентированная на ожидания и квалификацию кандидатов; — ДМС со стоматологией, корпоративное обучение; — Офис/гибридный формат работы в Москве (Москва-Сити); — Современные технологии и подходы к ведению проектов; — Работа в аккредитованной IT-компании.

Location: Remote-Friendly, United States About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Capacity Deployment Lead within Anthropic's Data Center Operations (DCO) organization, you will support and scale how we bring new compute capacity online across a growing fleet of partner-operated data centers. Deployment runs from construction kickoff to ready for service (RFS). You are engaged during planning and construction, and on-site and hands-on from EFA through infrastructure delivery and receiving, integration QA, power-on and network turn-up, burn-in and validation, and acceptance. You work with hardware vendors and operations partners for completion of each CU (capacity unit) with a structured handover into production operations and the maintenance program. The scope is compute: accelerator systems, racks, and the infrastructure around them - at the sites in service today and the ones coming online behind them. This is a program and execution role. You will work with the Global Capacity Delivery Program Lead and the broader Data Center Operations organization, to extend its coverage across more sites and platforms as the fleet grows. Expect 50%+ travel: you get eyes on via boots-on-the-ground for each site in preparation for and during delivery, deployment, QA, and close-out, and your authority comes from being there. Working with vendors and partners, you set direction, priorities, and standards for execution, and you prove results with Anthropic-owned data rather than self-reported status. What you learn at one site - what worked, what slipped, what should become standard - becomes the playbook for the next wave. If you have delivered data center hardware at scale, are passionate about HPC data centers, & enjoy working in complex, fast-paced environments, we welcome you to apply. Responsibilities Include: Own deployment outcomes for your assigned sites and data-hall waves: CUs and hall ready-for-service dates met, with exceptions closed out, or risk called early enough for leadership to act. Engage from construction kickoff and confirm deployment readiness ahead of each wave - floor access, power, network, receiving paths, and partner staffing - working the gaps with the site operations partner and facilities counterparts before racks arrive. Be on site at key points before and during delivery, deployment, QA, and close-out; verify the work with your own eyes rather than from a dashboard, and support the on-site teams with your direct expertise. Work with partner's site leadership to ensure success through rack delivery and receiving, integration QA, power-on and network turn-up, and burn-in and validation, setting daily priorities and quality gates and confirming results against Anthropic-owned ticket and telemetry data. Validate the handover gate for each CU and data hall: acceptance criteria met, burn-in complete, documentation delivered, spares positioned, ticketing live, and a structured handover into production operations and the maintenance program. Turn best practices, optimization, and lessons learned from each deployment into program-wide improvements: procedures, checklists, acceptance standards, and metrics, so the next wave runs faster and cleaner than the last. Extend the deployment program to new sites and platforms, adapting standards and acceptance criteria as the hardware changes. Communicate deployment status, dependencies, constraints, and risk to engineering, capacity planning, the team that owns the overall site schedule, and leadership. You may be a good fit if you: Have 8+ years of experience in data center operations or hardware deployment as a manager, technical lead or related role, including accountability for delivery milestones. Can demonstrate a proven track record leading compute or network hardware deployments at a large scale across multiple sites or data-hall waves, from early floor access through ready for service. Have managed vendors, OEMs, or contract workforces to measurable outcomes: milestones, quality gates, operational reviews, and corrective action. Possess hands-on technical depth in server, network, and rack-level hardware, enough to independently verify deployment quality and audit vendor claims. Have built or substantially improved operational processes. Are comfortable working with schedule, ticket, and telemetry data to drive decisions. Can travel heavily and work on site for extended stretches, including during delivery surges and turn-up windows. 50% Travel expected. Possess a bachelor's degree in relevant domain or equivalent practical experience. It’s a bonus if you have: Experience with GPU/accelerator or high-density liquid-cooled infrastructure, including bring-up of liquid-cooled racks. Experience standing up operations at a new site or data hall, from commissioning handoff through first deployment. Experience deploying more than one accelerator platform, or introducing a new hardware platform into an existing deployment program. Experience delivering deployment outcomes inside partner-operated or colocation sites where on-the-floor operations are staffed via third parties. Familiarity with dense accelerator network cabling, optics, and high-speed interconnect at rack and pod scale. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Washington, District of Columbia, United States Dexis is a dynamic professional services firm dedicated to partnering with government and community leaders both in the U.S. and internationally to achieve critical social outcomes in a rapidly changing world. At Dexis, you will experience a corporate culture of inclusiveness, respect, fairness, and trust. You will be given the means and mentorship needed to succeed, and your creativity will be rewarded. About the Position Dexis is seeking a Lead Evaluator to provide technical leadership for an anticipated monitoring, evaluation, and data services contract with ILAB. The contract will support performance evaluations, rapid and ad hoc studies, training and technical assistance, data quality assessments, data analysis, visualization, and synthesis across ILAB-funded technical assistance projects and other program areas. The Lead Evaluator will oversee the planning, implementation, quality assurance, and utilization of monitoring, evaluation, and learning assignments. The Lead Evaluator will match specialists to assignment requirements, guide teams, approve technical work, and ensure findings and recommendations are methodologically sound, evidence-based, and useful to decision-makers. This position is contingent upon award. Responsibilities Lead the planning, implementation, and utilization stages of monitoring, evaluation, and learning assignments. Provide technical leadership for interim, final, thematic, rapid, and other performance evaluations. Translate priority questions into appropriate designs , methodologies, data collection plans, and analytical approaches. Lead terms of reference, evaluation plans, instruments, frameworks, reports, briefs, presentations, and other deliverables. Ensure designs and methods fit the questions, available data, context, schedule, and level of effort. Match specialists’ methodological, sectoral, geographic, and language expertise to assignments. Guide and mentor evaluators, analysts, facilitators, data specialists, and other bench personnel. Conduct technical quality reviews and approve work products before submission. Lead or support interviews, site visits, observations, workshops, trainings, and field data collection. Oversee qualitative and quantitative analysis of documentation, indicators, stakeholder input, and other data. Support rapid studies, cross-project analyses, political economy analysis, stakeholder validation, risk analysis, and situational analysis. Design and facilitate trainings , collaborative learning activities, sense-making sessions, and cross-team workshops. Support data quality assessments, indicator development, evaluation planning, adaptive management, and use of findings. Ensure findings and recommendations are accurate , evidence-based, and suited to the intended audience. Adapt approaches based on stakeholder input without expanding beyond approved priority questions. Ensure deliverables meet accessibility, data protection, confidentiality, and PII requirements. Verify any AI-assisted analysis or content before it is included in a deliverable. Qualifications Master’s degree or higher. At least eight years of recent monitoring, evaluation, and learning experience with international development projects in communities and among populations comparable to those served by ILAB projects. Demonstrated experience leading evaluation teams and producing high-quality deliverables. Recent experience, within the past three years, leading evaluation teams virtually and through hybrid arrangements. Technical expertise in program evaluation, performance monitoring, indicator development, data analysis, data use, and learning facilitation. Ability to design trainings , create tools that elicit collective thinking, and lead cross-team learning workshops. Ability to apply portfolio approaches and provide actionable feedback on thematic issues. Experience with at least one of the following: adaptive evaluation; Collaboration, Learning, and Adaptation; rapid evaluation; or use of artificial intelligence in evaluation. Ability to respond to stakeholder input and communicate findings persuasively to support program improvement. Fluency in written and spoken English. Ability to produce high-quality English-language deliverables on schedule. Preferred Qualifications Fluency in one or more languages used where ILAB projects are implemented. Experience evaluating or researching labor rights programs or initiatives. Experience related to child labor, forced labor, human trafficking, worker rights, labor law enforcement, trade and labor commitments, or global supply chains. Experience leading multilingual evaluations involving geographically dispersed stakeholders. Experience obtaining or supporting Institutional Review Board or other ethical research clearance. Experience translating complex evidence into decision briefs, visualizations, presentations, or products for non-technical audiences. Below is the pay range aligned with this position. When developing a range, Dexis evaluates compensation holistically, triangulating between external market research , our budget for the position, and internal equity to arrive at a figure that is fair and competitive. Offers within this range will be based on an individual candidate's qualification, relevant education and experience, skills, performance, and organizational needs. Dexis pay range for this role: $125,000 — $175,000 USD Benefits Dexis offers benefits to support employees’ health, financial security, and well-being. The benefits outlined below are for full-time, US-based positions only. These benefits include: Medical and prescription drug coverage: A choice of three UnitedHealthcare medical plans, with coverage options for employees and eligible dependents. Dental insurance: Dental coverage for employees and eligible dependents, including preventive, basic, major, and orthodontic services, subject to plan limits. Company-paid vision insurance: Vision coverage for employees and eligible dependents, with premiums paid in full by Dexis. Employer-funded health reimbursement arrangement (HRA): Employees who enroll in the Silver HRA medical plan receive an employer-funded HRA to help pay eligible in-network deductible expenses. Company-paid life and disability insurance: Basic life and accidental death and dismemberment (AD&D) insurance, plus short-term and long-term disability coverage. Optional supplemental insurance: Voluntary supplemental life and AD&D insurance options, including life insurance options for eligible dependents. Employee Assistance Program (EAP): Company-paid access to confidential counseling and legal and financial support resources for employees and their families. Health and wellness resources: Virtual care, behavioral health resources, and wellness programs available through the medical plan. Benefits assistance: Personalized support with benefit enrollment, coverage questions, claims, and finding providers through the Employee Care Center. Participation, coverage, and employee contributions are subject to applicable benefit plan terms and eligibility requirements. Dexis is on a mission to help solve today’s most pressing global political, social, and economic challenges and create a world where all people are safe and prosperous. As a Dexis employee, you will be challenged, empowered, and mentored. Our motto is “find a way or make a way” — that’s how Dexis goes “all in.” How will you? If you are passionate about this opportunity, apply now! Only those applicants who meet the above criteria will be contacted for interview. Dexis is an Equal Opportunity Employer, and does not discriminate on the basis of race, color, sex, national origin, religion, pregnancy, disability, age, genetic information, military service, veteran status, ethnicity, citizenship, sexual orientation, gender identity, marital status, childbirth and related medical conditions, including lactation, or any other protected class under applicable law.

Location: San Francisco, CA Workplace: Hybrid About Niantic Spatial Niantic Spatial makes the physical world computable, helping people and machines collaborate safely by aligning how they understand reality. Robots trained in simulation often fail in the real places they’re deployed. We’re helping to fix that. Our team spent decades mapping the world at Google Maps, Google Earth and Niantic Labs, and we’re now applying that expertise to building the scalable real-to-sim stack for embodied AI. Our research team publishes at CVPR and ECCV, producing work the rest of the field builds on. That research is already in production. Our customers range from teams running robot fleets at scale in cities to those defining the state of the art in training policies on real-world data, and we partner with companies at the center of the ecosystem. We’re privileged to work with some of the most advanced embodied AI teams in the world. The role You’ll be the first dedicated seller for our Embodied AI group, working directly with the GM. You’ll find the customers, win them and shape the motion as you go – who we target, what we offer and how we price it. There’s no quota to start. Rather, you’ll be measured on qualified pipeline, sharp customer insight and closing business we can deliver. This is for you if - You’d rather spend the day with customers than in internal meetings. - You’ve been the first or second seller somewhere before, and you liked building the plane while flying it. - You get curious when a conversation turns technical, and you can tell when to hand it to an engineer. - You don’t keep dead deals alive to make the pipeline look better. This isn’t for you if you need inbound leads, a finished playbook or a finished product to do your best work. What you’ll do - Build pipeline. Map who’s building, raising and deploying, decide who we pursue and when, and get in the room through your network, outreach and events. - Run discovery. Find out what customers are trying to do, where their workflow breaks and what that costs them. Bring it back to the GM and Product. - Close. Own deals from first conversation to signature: proposal, pricing, negotiation and handoff. - Shape the offer. Use what you hear to sharpen our packaging, pricing and positioning. - Give before you ask. Work with Marketing to be useful to accounts we can’t serve yet. In your first six months, you’ll - Build a qualified pipeline across priority segments. - Close deals you sourced yourself. - Propose changes to how we package and price, based on what customers tell you. You must have - Built your own pipeline and closed early deals. You’ve sourced opportunities from scratch and personally closed multiple paid contracts while the product, buyer and pricing were still evolving. - Credibility with technical buyers. You’ve ramped quickly on unfamiliar technical domains and sold to engineers and researchers. You know where your depth ends. - Owned pricing and proposals. You’ve scoped deals, set pricing and written proposals yourself. If you’ve only sold using set templates for each stage of the cycle, this role won’t be a fit. - Run real discovery alongside Product and Engineering. You work with them to close the gap between what customers need and what we build, and you still sell what exists today rather than waiting for the perfect product. Plus if you’ve - Been a founding or early AE at a technical startup. - Earned promotion at a company known for great sellers. - Sold usage-based, API or developer products. - Worked in or sold into robotics companies. - Built a network in physical AI. Why join - You’ll help build the sales motion rather than inherit it. That covers pricing, proposals and the playbook. - You’ll help define a new category, selling to some of the most technical buyers in AI. - You’ll work directly with the GM and the technical team, with no layers in between. - It’s hard. The product is early, the market moves fast, and you’ll often be working out what to sell as well as selling it. If that sounds like fun to you, this role is likely to be a fit. Compensation & Benefits Base salary range of $175,500 to $230,000. Compensation also includes an annual bonus, equity, and a comprehensive benefits package including medical, dental, and vision coverage, 401(k), and more. Location & Work Model This role is based in our San Francisco office, with three days per week in office. Inclusive Application We know the strongest candidates don't always tick every box. If you're excited about this role and believe you could do it well, we encourage you to apply even if your experience doesn't match every qualification listed - you may be exactly who we're looking for. Equal Opportunity Niantic Spatial is an equal opportunity employer. Individuals seeking employment at Niantic Spatial are considered without regard to race, color, ancestry, national origin, religion, creed, age, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), marital status, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, sexual orientation, or any other protected category under applicable laws. Niantic Spatial will also consider qualified applicants with criminal histories in accordance with applicable laws. Please contact your recruiter if you want to request an accommodation for the job application or interview process. Candidate Privacy I understand that by submitting my job application, the information I provide as part of that application will be used in accordance with Niantic Spatial's Privacy Notice for Job Applicants and Candidates https://www.nianticspatial.com/applicant-privacy-notice.

Location: New York, NY (HQ) Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE The Ramp Travel team builds the travel booking and management platform built-in to Ramp. We build the capabilities that allows travelers to stay productive on the road: flight and hotel search, booking and checkout, our agentic travel assistant, and on-the-go mobile trip guidance. We also own the capabilities that ensure companies are spending their travel dollars effectively: travel policy evaluation, supplier and TMC integrations and benchmarking, and data insights. Growing the sophistication and global reach of the Travel product is a top strategic priority at Ramp. The work this team does directly enables Ramp to to support some of the largest and most interesting customers in the world. WHAT YOU’LL DO - Lead, mentor, coach, and grow the Ramp Travel engineering team (~6 engineers today). - Own delivery across our travel management surfaces: search and inventory, quoting and repricing, checkout, policy evaluation, loyalty, post-booking servicing. - Own reliability and correctness of a system dependent on third parties: supplier APIs, GDS and aggregator content, TMC and OBT integrations. - Partner with Product, Design, Ops, Partnerships, and Sales on enterprise travel commitments. - Set the team's practices for AI-assisted development and ship agentic booking features. - Hire. The team is expected to grow. WHAT YOU'LL NEED - 2+ years managing engineers, team size roughly 5 to 15. - High levels of ownership. Comfortability taking difficult ambiguous problems and driving successful execution. - Has built something 0→1 and then scaled it. - Willing to be hands-on. This is a six-person team, and everyone at Ramp is a builder. - Current enough technically to lead a design review and evaluate an architecture proposal. - Strong product judgment and comfort talking to customers. - Has owned a transactional system with external dependencies: booking, payments, marketplace, or logistics. PREFERRED - Corporate travel domain experience, such as: corporate online booking tools (OBTs), integrations with travel content sources (GDS/NDC), and front-end traveler experiences. - Enterprise B2B fintech or T&E background. - Has rolled out agentic dev tooling to a team, or shipped LLM-backed features. BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: Ukraine Passionate about programming. We are not looking for a person who only delegates, but rather delegates, builds systems, unloads himself, writes the code of the complex things himself ● Technical writing skills. Experience of creating a documentation from scratch for a medium level business ● Working in a fintech/proptech product Scale-up ● Team leading on small to medium teams ● Top performer track record ● Work on product features and impact customer experience ● Develop and maintain our Java Spring-based platform for a quickly scaling business ● Collaborate with a distributed team of highly skilled engineers ● Contribute to the architecture and design of our growing platform ● Ensure code quality, performance, and scalability Requirements ● Strong Java experience (6+ years) ● Proficiency in Spring Framework (Spring Boot, Spring Cloud, MVC, Security), ORM frameworks (JPA/Hibernate) ● Experience with Relational & NoSQL databases. ● AWS knowledge, including ECS, EC2, RDS, Lambda, S3, IAM, CloudFormation, CloudWatch, etc. ● DevOps skills in AWS provisioning, operations, and management. ● Strong problem-solving skills and attention to detail. ● Ability to work independently in a remote setting. Nice to Have ● AWS Certification What do we offer: ● Challenging tasks with great opportunity to level up your skills ● 20 working days of paid vacation ● Working hours are 9:00–17:00 London time ● Additional days off follow the UK holiday calendar ● The team is international (Ukraine, Azerbaijan, South Africa). Salary: $4,000 – $5,000 / month

Location: United Kingdom (Hybrid); United Kingdom (Remote); Spain; Netherlands Workplace: Hybrid Most money apps talk at you. Cleo talks back ✨ We're not building another finance app. We're building the world's first AI financial assistant, one that actually understands your money and makes you better at it, and we're changing the world's relationship with money in the process 💰 For everyone, whatever their background or balance. The proof: profitable, fast-growing, a unicorn with over $300M in ARR, and millions of people who now feel differently about their money. We love original thinkers who challenge the status quo. We move fast, tell the truth, and there's nowhere to hide from good work here. If that excites you more than it scares you, you'll fit right in. Follow us on LinkedIn https://www.linkedin.com/company/cleo-ai/ for new features and the occasional roast 🔥 Meet the team 👥 Here at Cleo, we have ~45 ML engineers ✨ They are the builders behind the AI that powers our product. They design experiments, create models that personalise financial insights, deploy fraud detection systems and scale our conversational AI, making sure that what we build genuinely helps people feel better about their money. From shaping product features and building the models that personalise our users' money journeys, to tackling fraud, scaling our systems and giving leaders the insights they need, our data team is at the heart of it all. About the role ✍️ We're hiring an Tech Lead ML Manager to join the existing data science function at Cleo. You’ll be working on models that support our understanding of a user’s financial life, building our foundational capabilities upon which all our product innovation depends, from the chat based Financial Assistant to our credit products. You’ll take on technical leadership and ownership of a workstream within the Financial Understanding pillar. We work at the intersection of LLMs and classical machine learning, trying to bring the advanced capabilities that are now possible at the speed and scale necessary for the size of Cleo’s userbase. - Leading and managing a team of circa. 4 MLE’s - Deploying machine learning models into production - Collaborating with product managers, backend engineers and analysts to play an active role in the planning and sequencing of work for the squad. - Helping define the roadmap for the squad/workstream What we're looking for 🕵 - At least 5 years of experience in data science, ML engineering or related roles - At least 1 year of management experience, ideally of a small team. - Ability to write production quality python code. - Experience deploying machine learning models into production - Experience with both LLMs and classical machine learning - Comfortable with complexity & developing a holistic understanding of a system in order to propose & build solutions WHAT WE OFFER We offer benefits package built to support you in and out of work. Benefits vary by country 🌍 and include meaningful equity, comprehensive health insurance, mental health support, a paid one-month sabbatical after four years, a learning & development platform, pension or retirement contributions, and location-specific leave entitlements. For the full breakdown on what's available in your location, visit our Candidate Hub https://meetcleo.notion.site/Cleo-Candidate-Hub-3b95c63b874580e9a068fdc6c8929ebf 👈 WHAT MATTERS Cleo's mission is to change the world's relationship with money. We can't do that without building a brilliant, genuinely diverse team - and making sure our hiring process gives everyone a fair shot, running a fair and transparent recruitment process in which every candidate is considered on their merits. We're glad to make reasonable adjustments at any stage of the process. If there's anything we can do to support you in showing us your best, please let your recruiter or one of the team know. We may use AI-assisted tools during the recruitment process to take support the team in different ways like taking notes or referring back to conversations. They do not replace the team and all applications are reviewed by a Cleo employee thoroughly!

Задачи: • Разрабатывать и развивать сервисы на Go. • Определять техническое направление развития backend‑платформы. • Повышать надёжность, доступность и безопасность систем. • Проектировать масштабируемую архитектуру, включая multitenancy. • Оптимизировать процессы разработки и доставки кода, сокращать time‑to‑market. • Участвовать в развитии инфраструктуры, observability и направлении Data Engineering / DWH. Требования: • Отличное знание Go и понимание современной инфраструктуры. • Опыт в роли тимлида от 1 года. • Профильное IT‑образование (приоритет — МГУ ВМК, Мехмат, ВШЭ ФКН, Физтех, Бауманка, ИТМО). • 5–7+ лет коммерческого опыта. • Опыт проектирования и разработки высоконагруженных систем. • Понимание принципов AuthN/AuthZ, знакомство с service mesh и подходами к observability. Будет плюсом: • Опыт в AdTech. • Опыт с YDB. • Опыт работы в бигтехе (Яндекс, VK, Ozon, Magnit и т.д.). Условия: • Современный технологический стек и отсутствие legacy. • Возможность влиять на архитектуру продукта и техническую стратегию. • Возможность развивать внутреннюю инженерную культуру и процессы команды. • Много системных и нетривиальных задач, требующих глубины инженерных решений. • Конкурентная зарплата — обсуждается индивидуально. • Понятные рабочие процессы: планирование, code review и регулярные командные встречи.

Задачи: — Создавать и поддерживать базы данных для аутрич-кампаний в LinkedIn — Запускать и управлять кампаниями аутрича в LinkedIn вручную и с помощью автоматизации (Sales Navigator, Linked Helper 2) — Квалифицировать лиды и назначать встречи с потенциальными клиентами — Вести отчеты в Google Sheets — Создавать и обновлять маркетинговые материалы — Работать с CRM-системами (HubSpot, Pipedrive или аналогичными) — Присутствовать на звонках с клиентами вместе с командой продаж в наблюдательной роли — Эффективно взаимодействовать и выстраивать отношения с потенциальными клиентами, способствуя развитию бизнеса Требования: — Опыт в Lead Generation от 6 месяцев — Знание инструментов и стратегий аутрича в LinkedIn — Опыт определения идеального профиля клиента (ICP) и построения баз данных для аутрича — Опыт проведения экспериментов по генерации лидов, анализа результатов и внедрения эффективных подходов — Сильные аналитические навыки, проактивность и ориентация на результат — Владение английским на уровне B2, украинским/русским на уровне C1+ или родном — Проживание вне России и Беларуси Желательно: — Опыт email-аутрича или других каналов холодного привлечения лидов — Понимание IT / веб-разработки и специфики рынка — Опыт работы с западными рынками (США, Великобритания, ЕС) Условия: — Полностью удаленная работа, полный рабочий день — Базовая зарплата от 700 до 900 долларов США в месяц — 20 оплачиваемых отпускных дней + 5 больничных + дополнительные выходные — Возможность развития в полноценную роль Business Development после года работы в lead generation — Культура, ориентированная на использование AI, и поддерживающая среда — Наставничество, поддержка и возможности карьерного роста в команде продаж

Location: Mexico We are looking for an Instructional Designer Team Lead for our Learning & Development Team — a role focused on solving business and performance challenges through learning rather than simply creating training content. This role is ideal for someone who enjoys working in a corporate L&D environment, applying a product mindset, and making decisions even when data is incomplete. Challenges that await you: Lead a team of 7 Instructional Designers, including hiring, development, mentoring, and performance management Design learning solutions that address real business and performance challenges rather than simply delivering training content Define learning objectives, expected behavioral changes, and measurable business outcomes for every initiative Design end-to-end learning experiences, including learning architecture, learning paths, practice activities, reinforcement, and transfer to the workplace Select the most effective learning format for each challenge, whether it's a course, simulation, checklist, case study, manager enablement, or an in-workflow intervention Create high-quality learning content that supports measurable performance improvement Formulate learning hypotheses, validate them through pilots and iterations, and continuously improve learning solutions based on data Apply both learning and business metrics to evaluate effectiveness and measure impact Design MVP learning solutions and pilot programs before scaling initiatives across the organization Partner with L&D Project Managers to analyze results, identify what worked, and iterate on future solutions Maintain and continuously improve the knowledge base, ensuring it remains a practical tool rather than a static repository Develop reusable learning frameworks and scalable design patterns instead of building every solution from scratch What makes you a great fit: Proven experience in corporate or B2B Learning & Development is required Experience as an Senior Instructional Designer, Learning Experience Designer, Methodologist, or in a similar role Experience applying both learning and business metrics to evaluate training effectiveness Strong understanding of instructional design principles and adult learning methodologies Product mindset with the ability to start from business goals and desired outcomes rather than content creation Experience working with hypotheses, experimentation, validation, and iterative improvement Strong systems thinking and the ability to make decisions in situations with incomplete or ambiguous information Confidence to challenge training requests when learning is not the right solution and recommend a more effective approach C1 English level for effective communication with an international team Your bonus skills: Experience working in both corporate Learning & Development and EdTech environments Experience supporting learning in fast-growing technology or product-driven companies Experience collaborating with cross-functional business stakeholders Understanding of how learning initiatives influence business performance and operational metrics Spanish language skills Our ways of working: Innovative Spirit: A commitment to creativity and groundbreaking solutions Honest Feedback: valuing open, transparent communication Supportive Team: a strong, collaborative community Celebrating Achievements: recognizing our wins together High-Tech Environment: a team full of smart and revolutionary people who date to challenge the status quo of incumbent finances Our benefits: Relocation support to Mexico with assistance for the employee and their family Flexible work from our office or remote Healthcare Coverage Education Budget: Language lessons, professional training and certifications Wellness Budget: Mental health and fitness activity reimbursements Vacation policy: Annual leave and paid sick leave as per applicable policies