Вакансии

Location: Oakland, California, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we're delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we're building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It's an exciting time to join us: we're creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran and dbt Labs is building data pipelines to power the modern data stack for thousands of companies. We're looking for a senior software engineer to join our Orchestration team, which owns the control plane layer of the dbt platform — the scheduler, execution harness, and results processing. You'll own the design and delivery of features end to end, working across high-throughput APIs and data models to make them faster, more reliable, and more capable. You'll write and review designs, raise the quality bar in code review, use the latest AI tools, and collaborate closely with product and design to deliver work that scales. This is a full-time, fully remote position. Technologies You'll Use Python, Rust, GraphQL, Postgres, Snowflake, Kafka, Kubernetes, Docker, AWS, GCP, Datadog What You'll D o Design and implement features and performance improvements across the Orchestration team's services — the scheduler, execution harness, and results processing Develop, maintain, and test high-quality, maintainable code, and optimize critical paths for performance Write technical designs for feature-level work, actively seek feedback, and clearly explain the trade-offs of your decisions Participate in and review technical designs and pull requests, providing constructive feedback to the team Improve test coverage with comprehensive unit tests and refactor code to drive down tech debt Troubleshoot and debug production issues, and follow up on incidents with post-mortems and mitigation plans Break features into tasks, structure and execute your own project plans, and contribute to sprint and feature planning Collaborate with product managers, QE, customer support, and peers to deliver the best product with high quality, performance, and scalability Participate periodically in the on-call rotation, and be mindful of security throughout your work Use AI tooling — IDE assistants like GitHub Copilot, coding agents like Claude Code, and conversational AI — to accelerate development and to author and review SDLC artifacts such as TDDs, PRDs, post-mortems, and test plans Skills We're Looking Fo r 5+ years of experience in the software industry with a passion for solving complex software engineering problems, including designing and building backend services and reusable components from the ground up Experience working with distributed systems and cloud computing concepts Demonstrated ability to write well-structured, performant, and well-tested code Ability to independently lead feature-level software and design work that satisfies project requirements, and to clearly explain design trade-offs Can identify design flaws in existing systems and propose improvements Experience with code reviews, design, troubleshooting, and testing Proficiency in a modern backend or systems language such as Python, Java, C++, or C# Hands-on experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes) Experience with continuous integration tooling such as BuildKite, and familiarity with observability tools like Datadog or Grafana is a plus Fluent in using AI code assistants and coding agents to generate and investigate code, and conversational AI (e.g. Claude, ChatGPT) to research, author, review, and synthesize SDLC artifacts Bonus Skill s Experience in data processing (ETL, ELT) and/or cloud-based data platforms Experience building or working with schedulers, workflow orchestration, job queues, or distributed task execution systems Experience with GraphQL APIs and high-throughput, multi-tenant data services Familiarity with the analytics engineering workflow and the dbt ecosystem The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Oakland Pay Range $174,915 — $209,906.50 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Москва Мы — core-команда, которая отвечает за ML для понимания аудио во всем Сбере. За последний год мы выложили в open source SOTA-модель для распознавания речи на русском языке — **GigaAM**, а прошлой весной первыми в России запустили **нативное понимание звука в LLM — GigaChat Audio**. Сейчас мы активно улучшаем мультимодальные возможности GigaChat: работаем над качеством на сложных аудио- и визуальных контекстах и учим модель понимать видео не только по звуковому потоку, но и по кадрам. **Цель** — совместное обучение на vision+audio и video+audio диалогах длительностью 90+ минут. _Первый этап отбора на эту вакансию – общение с AI-рекрутером. После отклика вам на почту и в чат на платформе HeadHunter придет приглашение пройти первичное интервью с ГигаРекрутером в Telegram. Диалог займёт примерно 10 минут. Его задача — уточнить недостающие детали и ускорить рассмотрение вашей кандидатуры. ГигаРекрутер только начинает свой путь, поэтому просим относиться с пониманием. Ваш опыт и участие помогут сделать его удобным и полезным!_ Обязанности * Проводить эксперименты по обучению Vision / Audio / Video LLM: данные, стадии обучения, способы смешивания модальностей * Оптимизировать ML-инфраструктуру для обучения на длинных мультимодальных контекстах * Формулировать и проверять гипотезы о том, как улучшать качество LLM на видео. Требования * Сильный опыт в DL-инженерии, желательно в обучении LLM-моделей * Глубокое знание PyTorch, включая DDP / FSDP * Понимание distributed training и efficient deep learning: DP / TP / PP / EP / SP, mixed precision, checkpointing, offloading, профилирование и оптимизация обучения * Понимание архитектуры LLM: Transformer, attention (MHA / GQA / MLA), RoPE и другие позиционные эмбеддинги, long context, MoE * Уверенный Python на уровне production-кода: asyncio, multiprocessing, профилирование, отладка больших систем. **Будет плюсом:** * Опыт обучения мультимодальных LLM * Опыт снижения стоимости контекста при обработке видео * Опыт расширения контекста LLM * Понимание RL-подходов для обучения моделей: RLHF / RLVR, PPO / GRPO / DPO * Опыт построения бенчмарков с использованием LLM-as-a-judge. Условия * крупнейшее DS&AI community — более 600 DS-специалистов банка * дайджест о самых последних разработках в области DS&AI и отчеты с крупнейших конференций мира * возможность быть соавтором НИРов и статей для международных конференций * возможность выбрать удобный формат работы: гибрид или офис * ежегодный пересмотр зарплаты, годовая премия * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * ипотека выгоднее до 7% для каждого сотрудника * бесплатная подписка СберПрайм+, скидки на продукты компаний-партнеров * вознаграждение за рекомендацию друзей в команду Сбера.

Location: Москва Мы ищем Data Engineer, который будет отвечать за инфраструктуру, пайплайны и качество данных для обучения современных Vision-Language Models. Роль находится на стыке data engineering и ML: нужно будет работать с большими мультимодальными датасетами, понимать потребности исследователей и ML-инженеров, строить пайплайны очистки, фильтрации, категоризации и генерации данных, а также обеспечивать воспроизводимый экспорт данных в формат для обучения моделей. Обязанности * Собирать и структурировать потребности ML-команды в данных: какие данные нужны для обучения, дообучения, оценки и улучшения VLM. * Предлагать и реализовывать идеи пайплайнов очистки, фильтрации, дедупликации, категоризации и генерации данных. * Ориентироваться в современных практиках построения датасетов для Vision-Language Models: image-text pairs, synthetic data, filtering, quality scoring, data mixture design, dataset versioning. * Отвечать за инфраструктуру хранения и подготовки данных, включая: * 1. импорт данных из различных источников: production, Common Crawl, open-source datasets, generated data; 2. валидацию и контроль качества данных; 3. хранение и версионирование датасетов; 4. экспорт данных в форматы, пригодные для обучения моделей. * Проектировать и реализовывать пайплайны обработки данных на большом масштабе, включая десятки миллиардов изображений. * Разрабатывать пайплайны генерации синтетических данных для обучения и улучшения VLM. * Собирать статистику по данным, строить отчёты и визуализации для анализа состава, качества и покрытия датасетов. * Обеспечивать воспроизводимость, наблюдаемость и надёжность data-процессов. * Работать в тесной связке с ML-инженерами, исследователями и инфраструктурной командой. Требования * Сильный опыт в data engineering и построении production-grade data pipelines. * Уверенное владение Python, включая multiprocessing, multithreading и async-подходы. * Опыт работы с большими объёмами данных и распределённой обработкой. * Практический опыт с объектными хранилищами, в частности S3 или аналогами. * Опыт работы с YTsaurus или похожими системами для распределённого хранения и обработки данных. * Понимание принципов валидации, очистки, дедупликации и версионирования датасетов. * Опыт работы с DVC, Git, Docker. * Опыт работы с PostgreSQL или другими реляционными базами данных. * Умение проектировать устойчивые пайплайны: от импорта данных до финального экспорта в training-ready формат. * Способность самостоятельно разбираться в нечетко сформулированных задачах и доводить их до работающего решения. * Готовность работать на стыке engineering и ML research. Будет плюсом ------------ * Опыт работы с мультимодальными данными: изображения, текст, image-text pairs, captions, OCR, metadata. * Понимание того, как устроены современные датасеты для обучения VLM / LMM / multimodal models. * Опыт построения пайплайнов для synthetic data generation. * Опыт реализации quality scoring, filtering, semantic deduplication, clustering или data attribution. * Опыт визуализации статистики по большим датасетам и построения внутренних аналитических дашбордов. * Опыт работы с Common Crawl, LAION-подобными датасетами, open-source vision-language datasets. * Базовое понимание ML training pipeline и того, как качество данных влияет на качество модели. Условия * крупнейшее DS&AI community — более 600 DS-специалистов банка * дайджест о самых последних разработках в области DS&AI и отчеты с крупнейших конференций мира * возможность быть соавтором НИРов и статей для международных конференций * возможность выбрать удобный формат работы: гибрид или офис * ежегодный пересмотр зарплаты, годовая премия * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * ипотека выгоднее до 7% для каждого сотрудника * бесплатная подписка СберПрайм+, скидки на продукты компаний-партнеров * вознаграждение за рекомендацию друзей в команду Сбера.

Location: San Francisco, California Workplace: Hybrid WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE Notion is building the operating system for knowledge work, and we want people to be able to do substantive knowledge work from their phone. A great native app is what makes that possible. On Android, that means Notion should feel like it was built for the platform: fast to open, smooth to scroll, and reliable offline or on a spotty connection. We’re investing in a more native foundation for how people read, write, and edit in Notion. That lets users capture ideas in the moment, find answers across their workspace, manage tasks and projects, and work with teammates, with the speed, polish, and dependability people expect from the best apps on their phone. As an Android engineer, you’ll help build that native foundation, from how pages render and how people write and edit, to the navigation and app chrome people use every day, like Home, Search, and Inbox, along with the shared frameworks the rest of the app is built on. You’ll work across the Android stack, with chances to dig into our shared Rust layer and the AI tools we use for mobile development. Along the way, you’ll pair with experienced product and mobile AI engineers to find what slows the team down, try new Android capabilities, and help decide what ships in the app. This role can be based in either San Francisco or New York City. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. WHAT YOU'LL ACHIEVE - Ship the core Notion experience on Android: Build and polish the surfaces people use every day—opening and reading pages, writing and editing, navigating the app, and the Home, Search, and Inbox tabs—on a native Kotlin and Jetpack Compose stack that is fast to open, smooth to scroll, and dependable offline. - Build with product and design, and iterate fast: Partner with product managers and designers to turn ideas into shipped features, then use feedback and data to make them better. Use AI coding tools and agents to build, test, and investigate faster, while you stay accountable for review, validation, and quality. - By the end of your first year, own a core product area: Take a core part of the Android app, like Home, Inbox, or a piece of the editor, from idea to launch, and shape it into an experience that helps people do their life’s work from their phone. - Make the app feel fast and reliable: Find and fix issues in startup time, scrolling, typing latency, crashes, and memory use across the surfaces you own, and add the tests and monitoring that catch regressions before users do.   SKILLS YOU'LL NEED TO BRING - Solid Android fundamentals: You’ve built and shipped Android apps, through work, internships, or your own projects, and you’re comfortable with modern Android—Kotlin, Jetpack Compose, Coroutines/Flow, and Gradle. Experience with a large, modular codebase is a plus. - Care for native UI and performance: You enjoy making UI feel fast and smooth, and you’re curious about things like custom text rendering, complex lazy lists, or rich-text editing. Experience with performance profiling, realtime collaboration, or offline sync is a plus. - Product instincts: You care about how the app feels to use, not just how it works. You sweat the details of interactions and polish, and you use feedback and data to decide what to build next. - Thoughtful problem-solving and clear communication: You build a clear picture of the problem before jumping to a fix, you can explain trade-offs in writing, and you ask for help early when you’re stuck. Experience moving a hybrid or web-based surface to native, or building something from 0→1, is a plus. - AI-native, end-to-end engineering practice: You use AI tools and agents as real collaborators, framing tasks clearly, reviewing generated changes, testing behavior, and designing workflows that make the broader team more effective. Web experience (TypeScript, React, Node) is welcome but not required. Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco, the estimated base salary range for this role is $150,000 - $168,000 per year. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21   #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Задачи: — Разрабатывать масштабируемые backend-сервисы и API. — Принимать архитектурные решения и обеспечивать высокие инженерные стандарты. — Писать production-ready код и активно использовать AI-инструменты для ускорения разработки. — Решать сложные технические задачи и повышать надежность системы. — Проводить код-ревью и поддерживать качество кода в команде. — Наставлять инженеров и повышать продуктивность команды. — Тесно сотрудничать с командами продукта, дизайна и QA. — Постоянно улучшать процессы разработки и инженерные практики. Требования: — Опыт разработки ПО 7+ лет. — Сильный коммерческий опыт с Node.js и TypeScript. — Опыт проектирования масштабируемых архитектур и распределенных систем. — Хорошее понимание PostgreSQL, Redis, REST API и асинхронных паттернов. — Опыт работы с Docker и CI/CD. — Опыт руководства инженерами и принятия технических решений. — Активный hands-on подход и желание оставаться близко к коду. — Опыт использования AI-инструментов (Cursor, GitHub Copilot, Claude Code или аналогичных) в ежедневной разработке. — Английский уровень B2/C1. Плюсом будет: — Опыт с React или Angular. — Опыт с RabbitMQ, Kubernetes и GitOps. — Опыт с Web3 или блокчейн-продуктами. — Опыт интеграции LLM API и AI возможностей в продукты. Условия: — Профессиональный рост: поддержка курсов, конференций и изучения английского (до 100% покрытия). — Баланс работы и жизни: удаленный или гибридный формат с гибким графиком в международных командах. — Оплачиваемый отпуск: до 20 дней отпуска + 8 корпоративных праздников + 5 личных дней в год. — Программы признания: структурированные оценки эффективности и командные награды. — Культура команды: выезды в международные локации (например, корпоративные апартаменты на Кипре).

Location: US, Boston, MA Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE We're hiring a VP of Sales to join our Business Development team based in Boston, Massachusetts. In this role you will take ownership of business development in the Robotics / Warehouse / Logistics and Automotive / Manufacturing verticals. You’ll be at the front line of securing pre-sales, commercial agreements, strategic partnerships, and pre-orders for our robots. This is a high-impact role for someone hungry to grow quickly, hit ambitious targets, and accelerate their career in robotics and automation. WHAT YOU'LL DO - Execute ambitious sales strategies targeting Warehouse / Logistics and Automotive / Manufacturing clients. - Drive the full sales cycle: lead generation → pitching → negotiation → contract closure. - Secure pre-sales, commercial agreements, and strategic partnerships for robots still in development. - Develop and deliver compelling business cases & ROI analyses for potential customers. - Build relationships with key decision-makers and stakeholders in target industries. - Partner with product & engineering to align solutions with customer needs. - Track market trends and competitor activity to refine go-to-market approaches. WHAT WE'RE LOOKING FOR - Bachelor’s or Master’s degree in Business, Engineering, or a related field. - Background in robotics, automation, or advanced manufacturing technologies. - 3-5 years’ experience in business development in Robotics/Warehouse/Logistics or Automotive/Manufacturing. - Demonstrated success in reaching or exceeding sales targets, especially with complex or technical products. - Strong network in the relevant industries and a track record of securing strategic partnerships. - Exceptional negotiation, communication, and presentation skills. - Expertise in calculating ROI and developing bulletproof business cases. - Strong analytical and problem-solving skills with a results-driven mindset. - P&L management and financial modeling experience. - Ability to thrive in a fast-paced, high-pressure environment.   WHAT WE OFFER - Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources. - Meaningful time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays. - 401(k) retirement plan with 4% employer match. - Equity included–we believe builders should share in what they build. - Free daily catered lunch, snacks, and drinks in‑office. - Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics. For this role in the Massachusetts, the expected base salary range is $180,000-$250,000 USD per year + Sales Incentives; your placement in that range depends on how experience maps to our internal leveling.

Location: US (Remote); US, San Diego, CA Workplace: Remote Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE We're hiring a VP of Sales to join our Business Development team based in the United States. In this role you will take ownership of business development in the Robotics / Warehouse / Logistics and Automotive / Manufacturing verticals. You’ll be at the front line of securing pre-sales, commercial agreements, strategic partnerships, and pre-orders for our robots. This is a high-impact role for someone hungry to grow quickly, hit ambitious targets, and accelerate their career in robotics and automation.   WHAT YOU'LL DO - Execute ambitious sales strategies targeting Warehouse / Logistics and Automotive / Manufacturing clients. - Drive the full sales cycle: lead generation → pitching → negotiation → contract closure. - Secure pre-sales, commercial agreements, and strategic partnerships for robots still in development. - Develop and deliver compelling business cases & ROI analyses for potential customers. - Build relationships with key decision-makers and stakeholders in target industries. - Partner with product & engineering to align solutions with customer needs. - Track market trends and competitor activity to refine go-to-market approaches.   WHAT WE'RE LOOKING FOR - Bachelor’s or Master’s degree in Business, Engineering, or a related field. - Background in robotics, automation, or advanced manufacturing technologies. - 3-5 years’ experience in business development in Robotics/Warehouse/Logistics or Automotive/Manufacturing. - Demonstrated success in reaching or exceeding sales targets, especially with complex or technical products. - Strong network in the relevant industries and a track record of securing strategic partnerships. - Exceptional negotiation, communication, and presentation skills. - Expertise in calculating ROI and developing bulletproof business cases. - Strong analytical and problem-solving skills with a results-driven mindset. - P&L management and financial modeling experience. - Ability to thrive in a fast-paced, high-pressure environment.   WHAT WE OFFER - Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources. - Meaningful time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays. - 401(k) retirement plan with 4% employer match. - Equity included–we believe builders should share in what they build. - Free daily catered lunch, snacks, and drinks in‑office. - Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics. For this role in the United States, the expected base salary range is $180,000-$250,000 USD per year + Sales Incentives; your placement in that range depends on geographical location and how your experience maps to our internal leveling.

Мы развиваем международную продуктовую платформу в сфере CS2 и ищем руководителя клиентского сервиса, который возьмёт на себя управление командой поддержки и построит масштабируемую систему работы с пользователями. Сейчас клиентский сервис — одна из ключевых точек роста продукта. Нам нужен не администратор текущих процессов, а сильный операционный руководитель, способный выстроить функцию практически с нуля: внедрить SLA, стандарты качества, аналитику, автоматизацию, обучение команды и понятную систему взаимодействия с другими подразделениями. Главная цель роли: Превратить службу поддержки из реактивной команды, обрабатывающей обращения, в системную функцию клиентского сервиса, которая: — быстро и качественно решает проблемы пользователей; — повышает доверие к платформе; — снижает отток клиентов; — помогает возвращать пользователей в продукт; — выявляет системные проблемы и передаёт их продуктовой команде; — автоматизирует большую часть типовых обращений; — работает на основании прозрачных метрик и SLA. Основные задачи: — Управлять командой клиентского сервиса численностью около 11 человек. — Провести аудит процессов, нагрузки, структуры обращений и эффективности сотрудников. — Разработать и внедрить SLA по типам и приоритетам обращений. — Выстроить многоуровневую модель поддержки: база знаний и автоматизация → L1 → L2 → профильный отдел. — Определить правила эскалации сложных, финансовых и конфликтных кейсов. — Создать регламенты, инструкции, шаблоны ответов и единую базу знаний. — Сформировать Tone of Voice и стандарты коммуникации с пользователями. — Внедрить систему контроля качества диалогов и регулярного QA. — Настроить обучение, аттестацию и развитие сотрудников. — Создать прозрачную систему метрик и отчётности по работе поддержки. — Внедрять AI-инструменты, чат-ботов и сценарии самообслуживания. — Автоматизировать типовые обращения по платежам, промокодам, трейдам, статусам предметов и другим повторяющимся вопросам. — Выстроить систему Voice of Customer: собирать причины обращений, жалобы и предложения пользователей, превращая их в задачи для продукта. — Обеспечить взаимодействие поддержки с Product, Development, Payments, CRM, Marketing и другими подразделениями. — Управлять инцидентами и массовыми обращениями пользователей. — Планировать необходимую численность команды, смены и нагрузку. — Сформировать систему мотивации сотрудников, связанную не только со скоростью, но и с качеством решения проблем. Цели на первые 30 дней: — Провести полный аудит клиентского сервиса. — Зафиксировать текущие показатели и определить базовую точку по SLA, FRT, FCR, CSAT, QA, повторным обращениям и нагрузке. — Классифицировать основные причины обращений пользователей. — Выявить критические разрывы в клиентском пути. — Описать зоны ответственности и правила эскалации. — Подготовить план трансформации клиентского сервиса на 90–180 дней. Цели на первые 60 дней: — Внедрить базовые SLA и приоритеты обращений. — Запустить регламенты обработки ключевых типов запросов. — Сформировать и внедрить Tone of Voice. — Запустить базу знаний и единые шаблоны ответов. — Внедрить QA-карту и регулярную оценку качества диалогов. — Настроить управленческий дашборд по ключевым метрикам. — Организовать регулярное обучение и обратную связь для команды. — Запустить понятный процесс взаимодействия поддержки с другими отделами. Цели на первые 90 дней: — Обеспечить выполнение SLA не менее чем по 85% обращений. — Довести FCR — долю вопросов, решённых за одно обращение, — минимум до 70%. — Снизить долю повторно открытых обращений до 10% и ниже. — Довести внутреннюю оценку качества диалогов до 85–90%. — Запустить автоматизацию наиболее частых типов обращений. — Сформировать регулярный Voice of Customer-отчёт для руководства и продуктовой команды. — Снизить количество зависших и незакрытых обращений. — Создать прозрачную систему оценки эффективности каждого сотрудника. Цели на 6–12 месяцев: — Целевые значения должны быть подтверждены после фиксации текущей базы, но ожидаемые ориентиры следующие: выполнение SLA — 90% и выше; — CSAT — 85% и выше; — FCR — 70–80%; — QA Score — 90% и выше; — доля повторных обращений — не более 10%; — автоматизация 50–70% типовых обращений; — снижение ручной нагрузки на команду на 40–60%; — снижение стоимости обработки одного обращения минимум на 30%; — сокращение критических жалоб и эскалаций; — измеримое снижение оттока пользователей после обращений в поддержку; — формирование стабильного потока продуктовых улучшений на основании обращений клиентов. Ключевые показатели роли: — First Response Time. — Average Resolution Time. — SLA Compliance. — First Contact Resolution. — CSAT. — QA Score. — Reopen Rate. — Backlog и количество незакрытых обращений. — Количество обращений на одного активного пользователя. — Доля автоматизированных обращений. — Cost per Contact. — Retention пользователей после обращения. — Количество выявленных и устранённых системных причин обращений. Наши ожидания от кандидата: — Опыт управления клиентским сервисом или поддержкой от трёх лет. — Опыт управления командой от 10 человек. — Практический опыт построения или серьёзной перестройки службы поддержки. — Понимание SLA, FCR, CSAT, QA, WFM и других операционных метрик. — Опыт создания регламентов, базы знаний и системы контроля качества. — Умение работать с аналитикой, находить причины проблем и принимать решения на основании данных. — Опыт внедрения автоматизации, чат-ботов или AI-инструментов. — Умение работать со сложными, конфликтными и финансовыми обращениями. — Сильные навыки управления командой: найм, адаптация, обучение, мотивация и performance management. — Способность взаимодействовать с продуктом и разработкой и добиваться устранения первопричин обращений. — Умение одновременно повышать качество сервиса и контролировать его экономическую эффективность. Будет преимуществом опыт в gaming, iGaming, fintech, crypto, marketplace, e-commerce или другом высоконагруженном B2C-продукте. Какого человека мы ищем: Нам нужен системный и самостоятельный руководитель, который умеет не только управлять людьми, но и строить процессы. Человек, способный погрузиться в реальные обращения пользователей, найти корневые проблемы, сформировать целевую модель и довести изменения до измеримого результата. У руководителя будет необходимый уровень полномочий для изменения процессов, внедрения инструментов и взаимодействия с другими подразделениями.

Location: Foster City, CA Workplace: Hybrid Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. ABOUT THIS JOB We're looking for a Head of Marketing Strategy & Operations to run the business side of marketing. Our marketing team went from two people to 25 this year, organized around four functions: product marketing, brand and consumer, enterprise, and growth. This is the first operations hire on that team. You'll own the marketing budget with Finance, run our planning cycle and operating cadence, keep hiring aligned with the plan, and partner directly with the CMO on how marketing sets priorities and tells its story to the executive team and the board. It's a role for someone who has sat close to a CMO and a CFO, likes turning ambiguity into a plan people can execute, and is comfortable building the function themselves before building a team. WHAT YOU'LL DO: Budget & Financial Operations - Own the marketing budget end to end with Finance: allocation across teams and channels, tracking against plan, forecasting, variance flags, and the tradeoff conversations that follow - Build the layer of visibility leadership needs (spend by team, channel, and program) on top of the spend-tracking tools we already have, so decisions get made with numbers - Run quarterly, half-year, and annual budget planning, and make marketing's case to Finance and the executive team - Own marketing's vendor and agency contracts end to end: evaluations, procurement, renewals, and a clear view of what we pay for and why Planning & Operating Cadence - Own marketing's planning cycle: translate company goals into marketing objectives, OKRs, and resourced plans, and keep them current as priorities shift - Bring a point of view. Pressure-test plans, frame the tradeoffs, and help the CMO decide where marketing places its bets - Design the lightweight processes and internal tools (planning, intake, reporting) that let a 25-person team operate like a much bigger one - Run the operating rhythm for the marketing leadership team: meetings, all-hands, team-wide readouts, agendas, decisions, and follow-through - Keep the marketing functions connected so plans, launches, and budgets move together Executive Partnership - Partner directly with the CMO on board materials, executive readouts, and strategy documents. Own first drafts and make them data-backed and on-message - Extend the CMO's reach across the team: surface risks early, chase decisions to closure, and keep priorities clear week to week - Represent marketing in cross-functional planning with Finance, Sales, and Product Hiring & Org Operations - Partner with Talent Acquisition and marketing leads on headcount planning, requisition tracking, and interview process, and keep hiring plans aligned with budget and org design - Standardize the basics across sub-teams (job descriptions, interview loops, scorecards) and help new leaders land well WHAT WE'RE LOOKING FOR: - 10+ years in marketing strategy and operations, business operations, strategic finance, management consulting, or a similar role supporting a CMO, GM, or business unit leader - You've owned a sizable marketing or departmental budget end to end and can talk about spend, forecast, and variance the way Finance does - You've built or run a planning cycle (annual or half-year, OKRs) and an operating cadence for a leadership team - You've drafted board or executive materials for a senior leader and know the difference between a readout and a narrative - Experience with headcount planning and hiring operations alongside a Talent team - You've run vendor evaluations and procurement alongside Finance and kept a clean view of contracts and renewals - Comfortable as an individual contributor. This is the first ops hire; you'll do the work before you have a team - You scope light and move fast. We plan in weeks, not quarters, and you build just enough process to keep a fast team aligned - You build trust quickly, from individual contributors to the C-suite - Bonus: you're comfortable building your own tools with AI. We use Replit to run Replit This is a full-time role that can be held from our Foster City, CA office. The role has an in-office requirement of Monday, Wednesday, and Friday.   Full-Time Employee Benefits Include: 💰 Competitive Salary & Equity 💹 401(k) Program with a 4% match (US Only) ⚕️ Health, Dental, Vision and Life Insurance 🩼 Short Term and Long Term Disability 🚼 Paid Parental, Medical, Caregiver Leave 🏝 Flexible Time Off (FTO) + Holidays 🚗 Commuter Benefits (In-Office & US Only) 📱 Monthly Wellness Stipend 🧑‍💻 Autonomous Work Environment 🖥 In Office Set-Up Reimbursement (In-Office Only) 🚀 Quarterly Team Gatherings ☕ In Office Amenities (In-Office Only) Want to learn more about what we are up to? - Self-driving Company https://replit.com/blog/self-driving-company - Replit Agent at Scale https://replit.com/blog/evaluating-and-improving-agent-at-scale - AI Adoption https://replit.com/blog/ai-adoption - Build Open-Source Apps https://replit.com/build/open-source-app-builder   Interviewing + Culture at Replit - Operating Principles https://blog.replit.com/operating-principles - Reasons not to work at Replit https://blog.replit.com/reasons-not-to-join-replit To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.

Location: New York City, New York What you’ll be part of Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster. The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can. About the role We are looking for an Email Marketing Manager to join our Demand Generation team and own our email channel end to end. Reporting directly to the VP of Demand Generation, you will build the programs that keep Garner in front of employers and the health insurance brokers who advise them, from first download to booked demo. You will work closely with our Demand Generation, Product Marketing, Marketing Operations, and Sales teams to turn a growing database into qualified pipeline. What you will do Own the email channel for our employer and broker audiences, from strategy through send. Build and run nurture journeys in HubSpot, from first touch through re-engagement. Build and manage the one-to-one sequences BDRs and sales send after marketing engagements. Run the email calendar and newsletter, and support webinar and event promotion. Write email copy that earns attention from benefits leaders and health insurance brokers. Keep the database healthy through segmentation, suppression, and deliverability standards. Test, measure, and report on email's contribution to pipeline, and scale what works. What we're looking for 4+ years of B2B email or lifecycle marketing experience, owning programs end to end. Proficiency building workflows, segments, and tests in HubSpot or a similar platform. Strong writing skills, with B2B email samples you wrote yourself. Comfort reading email and funnel data, from clicks and conversions to pipeline. Working knowledge of deliverability, list hygiene, and email compliance. Fluency applying AI to write, test, and scale email programs. A desire to do work that matters: and to be held to a high standard while doing it. You're energized by a mission with measurable outcomes, not just good intentions. You engage with AI tools as part of how you do your best work, and hold yourself accountable to outcomes that matter beyond your team's metrics. Please note: we are unable to sponsor or take over sponsorship of an employment visa at this time. What you'll get here: You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission. At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose. Compensation Transparency: The target salary range for this position is $125,000 - $140,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k) with company match, flexible spending accounts, Teladoc Health and more. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to candidateprotection@garnerhealth.com . Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at talent@garnerhealth.com .

Задачи: — Разработка и внедрение AI/ML решений с использованием LLM, Python и связанных технологий — Работа с production-grade LLM, RAG, NLP, embeddings и векторными базами данных — Парсинг документов, извлечение информации и обработка больших объемов текста — Использование LangChain, LangGraph, CrewAI, Claude Code — Работа с облачными сервисами AWS SageMaker, Bedrock, EC2, Lambda, Azure AI, OpenAI — Использование MLflow, W&B, CI/CD, Docker, Kubernetes для управления ML-процессами — Оценка AI моделей, улучшение и обеспечение наблюдаемости — Руководство командой, наставничество и коммуникация Требования: — Опыт работы в AI/ML инженерии от 3 лет — Знание Python, SQL, NumPy, Pandas, Scikit-learn, PyTorch или TensorFlow — Опыт работы с LLM, NLP, embeddings, векторными базами данных — Знание LangChain, LangGraph, CrewAI, Claude Code — Опыт работы с AWS и Azure AI сервисами — Навыки работы с MLflow, W&B, CI/CD, Docker, Kubernetes — Высшее образование в технической области Условия: — Работа в офисе, 5-дневная рабочая неделя — Локации: Hyderabad, Ahmedabad, Indore — Максимальный срок уведомления о выходе на работу: 15 дней — Процесс интервью: 3 технических/менеджерских раунда + обсуждение CTC Для отклика необходимо предоставить: — Имя кандидата, обновленное резюме, общий опыт, релевантный опыт AI/ML — Количество реализованных production AI/ML систем — Текущая компания и должность, текущее и ожидаемое вознаграждение — Местоположение и предпочтительное место работы — Наличие офферов, причина смены работы, готовность к немедленному выходу — Контактный номер, профиль LinkedIn, релевантные навыки AI/ML и LLM

Location: San Francisco Perplexity is continuing to rapidly scale our Enterprise Engineering Organization and seeking Engineering Managers with deep expertise across the Enterprise domain to help lead the next wave of growth. As an Enterprise Engineering Manager, you will combine technical judgment, product intuition, and people leadership to help large organizations adopt AI at scale. We are hiring across the enterprise control plane, enterprise data plane, and connector marketplace and activation. Depending on your area of focus, you will lead and grow a team in one of these areas, addressing challenges such as: Enterprise Control Plane: Building the identity, security, and governance foundations that enable large organizations to deploy Perplexity confidently, including SSO, SCIM, role-based access, customer-managed encryption keys (BYOK), admin APIs, and enforceable policies governing access to data, models, and tools. Supporting regulated-industry requirements, including SOC 2, HIPAA, data governance, and residency, with audit logs and analytics that give administrators visibility into how Perplexity is used. Enterprise Data Plane: Building the connector platform and semantic data layer that give Computer reliable, permission-aware access to enterprise systems and knowledge, including managed authorization, private-system access, and data freshness. Connector Marketplace and Activation: Building discovery, recommendations, onboarding, and marketplace experiences that help customers find and adopt integrations, while working with partners to expand the connector ecosystem. Across these areas, you will translate enterprise customer needs into scalable technical solutions across Perplexity’s products. RESPONSIBILITIES - Set technical direction for your team and guide architecture decisions across the enterprise platform. - Build the foundational systems that enable large organizations to deploy Perplexity broadly and confidently. - Shape roadmaps with product and design, applying strong technical judgment and product intuition. - Set a high bar for reliability, code quality, testing, and maintenance. Lead incident response and ensure platform changes and connector migrations are rolled out safely. - Partner with engineering teams across the company to ensure the platforms we build are extensible and easy to adopt. - Represent engineering in strategic enterprise customer conversations, partnering with sales and customer success to understand requirements and remove barriers to adoption. - Oversee hiring, onboarding, and mentorship for a rapidly growing team. Develop rigorous interview pipelines and work closely with recruiting to source candidates. - Work with Perplexity’s co-founders to deliver enterprise engineering priorities. QUALIFICATIONS - Strong technical judgment and experience building enterprise platforms or products, with an understanding of the reliability, security, and usability requirements of enterprise customers. - Domain expertise in at least one of the following areas: - Enterprise control plane: identity and access management, SSO/SCIM, role-based access, key management, admin APIs, policy enforcement, audit logging, data governance, or compliance and residency requirements for regulated industries. - Enterprise data plane: connector and integration platforms, including authentication, source-system permissions, data synchronization, and reliability at scale; or semantic data layers and knowledge platforms that make enterprise data accessible and useful to AI. - Connector marketplace and activation: discovery and recommendation systems, integration onboarding, marketplace product UX, or technology partner ecosystems. - Ability to deliver in a fast-moving environment while balancing customer needs, technical quality, and long-term maintainability. - Detail-oriented and quality-focused - our customers run critical workflows on Perplexity, and our product needs to stay robust and reliable. - Ability to translate enterprise customer needs into clear technical priorities and communicate tradeoffs effectively. - Experience building and managing high-performing engineering teams, with a strong management practice grounded in clear feedback, effective 1:1s, career development, and recruiting and retaining high-caliber talent. - Ability to lead parallel technical initiatives, align strong technical perspectives, and make clear prioritization and tradeoff decisions. - Experience with AI/ML products, enterprise AI adoption, or scaling enterprise platforms at a startup is a plus. - 8+ years of engineering experience, with at least 4 of those years as an engineering manager.

Location: New York City, New York What you’ll be part of Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster. The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can. About the role We are looking for a Senior Manager, Demand Generation to join our team and scale the channel that connects Garner to mid-size employers. Reporting directly to the VP of Demand Generation, you will own the campaigns, programs, and qualified pipeline behind our health insurance broker audience. Brokers and benefits advisors are the trusted advisors to U.S. employers, shaping benefits strategy and deciding what gets recommended, so your work is to earn their attention at scale and give them a reason to bring Garner to their clients. You will work closely with our Sales, BDR, Product Marketing, and Events teams to turn broker relationships into qualified pipeline. What you will do Design and launch multi-channel campaigns for one of our primary audiences, health insurance brokers, and own the qualified pipeline they generate Build the quarterly plan: campaign strategy, broker segmentation, offers, and messaging Partner with our channel owners across paid, organic, web, and digital to take campaigns from brief to readout Build the broker lifecycle from first touch through activation and retention Partner with Sales and BDR teams to design highly effective campaigns and ensure smooth handoff of qualified leads Measure channel and campaign performance and recommend where to invest next Bring an AI-enabled approach to every core function to build scalable marketing systems What we're looking for 6+ years of B2B demand generation, growth, or integrated marketing experience, with direct accountability for a pipeline number A track record of building and scaling multi-channel campaigns and demand generation programs Experience marketing complex products to a sophisticated buyer Channel partner or partner marketing experience is a strong plus Strong command of funnel mechanics, including attribution, conversion rates, cost per acquisition, and pipeline-to-spend Fluency applying AI to build scalable marketing systems and programs Relevant experience in a fast-paced or high-growth environment is a strong plus A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare. What you'll get here: You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission. At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose. Compensation Transparency: The target salary range for this position is $150,000 - $180,000. This position is also commission eligible. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k) with company match, flexible spending accounts, Teladoc Health and more. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to candidateprotection@garnerhealth.com . Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at talent@garnerhealth.com .

EDB provides a data and AI platform enabling organizations to harness the full power of Postgres for transactional, analytical, and AI workloads across any cloud. The company supports over 1,500 customers globally, including government organizations, financial services, media, and IT companies, offering enterprise-grade open source technologies with high availability and mission-critical capabilities such as security, compliance controls, and observability. The position is 100% remote. The role involves designing, implementing, and maintaining the EDB Postgres Distributed (PGD) product, a multi-master distributed PostgreSQL solution providing high availability, geographic distribution, and active-active replication for enterprise workloads. Responsibilities: — Design, develop, test, and document new PGD capabilities — Maintain and improve performance and usability of existing PGD capabilities — Analyze business requirements and translate them into executable tasks — Provide world-class production support to PGD customers — Participate in code reviews and collaborate with a globally distributed team Requirements: — 5+ years of software engineering experience — Strong proficiency in C programming — Experience with PostgreSQL internals (storage engine, WAL, replication, catalog system, or extension development) — Understanding of distributed systems concepts including replication topologies, consensus, conflict resolution, eventual consistency, and failure modes — Experience with multi-version/multi-branch codebases and active backporting workflows — Familiarity with build systems and CI/CD practices — Comfortable working with Git on large, long-lived codebases with complex branching — Strong debugging and performance analysis skills Advantages: — Prior contributions to PostgreSQL or other open-source database projects — Experience with logical replication, logical decoding, or custom replication solutions — Knowledge of distributed consensus algorithms such as Raft — Familiarity with PostgreSQL extension API and hook system — Experience with high availability architectures and failover mechanisms — Experience with Python and Rust — Experience with major cloud providers: AWS, Azure, GCP — Experience with Ansible, Docker, and Kubernetes EDB supports employee well-being with benefits including access to health and wellness resources and Wellness Fridays through December 2026. EDB is an equal opportunity employer committed to diversity, inclusion, trust, and respect. EDB does not accept unsolicited resumes from recruitment agencies without a signed agreement.

Location: Independence, Missouri, United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role We are looking for a Senior Hardware Support Engineer to own production hardware reliability across large-scale, mission-critical data center environments. This role operates at the intersection of hardware engineering, operations, and vendors, ensuring fleet stability, rapid root cause identification, and continuous improvement of server and platform reliability. You will act as a senior escalation point for complex hardware and firmware issues affecting production systems, driving investigations from symptom to root cause and coordinating resolution across engineering, vendors, and on-site teams. The role requires strong analytical thinking, structured problem-solving methodology, and deep hardware expertise in high-density, performance-critical infrastructure environments. Your responsibilities will include Leading root cause analysis for complex hardware and firmware failures across production fleets Aggregating recurring problems and error patterns to identify systemic reliability issues Acting as the senior escalation point for hardware-related incidents impacting availability or performance Coordinating with vendors to drive timely diagnostics, RMAs, firmware fixes, and corrective actions Partnering with internal engineering teams to validate fixes and prevent recurrence Performing hardware and firmware validation before fleet-wide rollout Driving structured incident investigations using established IT problem management methodologies Supporting on-site teams with technical coordination during critical hardware events Improving hardware observability, failure tracking, and reporting processes Contributing to long-term hardware reliability strategy and fleet-wide stability improvements What we expect you to have Strong hands-on expertise with server hardware in data center or large-scale production environments Proven experience performing root cause analysis of hardware and firmware failures Deep understanding of server components (CPU, memory, storage, networking, power, BMC) and failure modes Experience working directly with hardware vendors and engineering teams to resolve production issues Structured problem-solving skills using formal IT or incident management methodologies Strong analytical capabilities and ability to interpret logs, telemetry, and error patterns Experience coordinating technical activities with on-site operations teams Ability to manage multiple concurrent investigations with production impact Clear written and verbal communication skills in cross-functional environments It will be an added bonus if you have Experience in GPU-dense, AI, or high-performance computing environments Exposure to firmware lifecycle management and large-scale rollout validation Familiarity with Linux-based production systems and infrastructure tooling Experience improving fleet-wide hardware reliability metrics at scale Working conditions Onsite work in the Independence Missouri Data center. Participation in incident escalations for production-impacting events Key employee benefits Comprehensive medical, dental, and vision coverage 401(k) plan with company contribution Flexible paid time off Paid parental leave Professional development support Compensation $125,000 – $180,000 per year plus annual performance-based bonus. #LI-AL1 Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $147,200 — $183,900 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Birmingham, Alabama, United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role We are looking for a Senior Hardware Support Engineer to own production hardware reliability across large-scale, mission-critical data center environments. This role operates at the intersection of hardware engineering, operations, and vendors, ensuring fleet stability, rapid root cause identification, and continuous improvement of server and platform reliability. You will act as a senior escalation point for complex hardware and firmware issues affecting production systems, driving investigations from symptom to root cause and coordinating resolution across engineering, vendors, and on-site teams. The role requires strong analytical thinking, structured problem-solving methodology, and deep hardware expertise in high-density, performance-critical infrastructure environments. Your responsibilities will include Leading root cause analysis for complex hardware and firmware failures across production fleets Aggregating recurring problems and error patterns to identify systemic reliability issues Acting as the senior escalation point for hardware-related incidents impacting availability or performance Coordinating with vendors to drive timely diagnostics, RMAs, firmware fixes, and corrective actions Partnering with internal engineering teams to validate fixes and prevent recurrence Performing hardware and firmware validation before fleet-wide rollout Driving structured incident investigations using established IT problem management methodologies Supporting on-site teams with technical coordination during critical hardware events Improving hardware observability, failure tracking, and reporting processes Contributing to long-term hardware reliability strategy and fleet-wide stability improvements What we expect you to have Strong hands-on expertise with server hardware in data center or large-scale production environments Proven experience performing root cause analysis of hardware and firmware failures Deep understanding of server components (CPU, memory, storage, networking, power, BMC) and failure modes Experience working directly with hardware vendors and engineering teams to resolve production issues Structured problem-solving skills using formal IT or incident management methodologies Strong analytical capabilities and ability to interpret logs, telemetry, and error patterns Experience coordinating technical activities with on-site operations teams Ability to manage multiple concurrent investigations with production impact Clear written and verbal communication skills in cross-functional environments It will be an added bonus if you have Experience in GPU-dense, AI, or high-performance computing environments Exposure to firmware lifecycle management and large-scale rollout validation Familiarity with Linux-based production systems and infrastructure tooling Experience improving fleet-wide hardware reliability metrics at scale Working conditions Onsite work in the Birmingham Alabama Data center. Participation in incident escalations for production-impacting events Key employee benefits Comprehensive medical, dental, and vision coverage 401(k) plan with company contribution Flexible paid time off Paid parental leave Professional development support Compensation $125,000 – $180,000 per year plus annual performance-based bonus. #LI-AL1 Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $147,200 — $183,900 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. As a Senior RF Engineer on the WHOOP Hardware team, you will support the development, integration, validation, and delivery of the wireless systems that power WHOOP's wearable products. Working closely with Electrical, Firmware, Mechanical, Manufacturing, and Product teams, you will independently drive RF development and validation activities from early prototypes through production. WHOOP products rely on highly integrated wireless systems operating within compact and challenging wearable form factors. You will bring strong hands-on RF test and debugging experience to characterize system performance, identify root causes of wireless issues, develop robust validation methodologies, and ensure designs meet performance, regulatory, and manufacturing requirements.   RESPONSIBILITIES - Own RF system characterization, validation, and debugging from early prototypes through production. - Define validation plans, test methods, and acceptance criteria for conducted, radiated, and system-level wireless performance. - Characterize transmitter, receiver, antenna, coexistence, interference, desense, and OTA performance, including return loss, antenna efficiency, TRP/TIS, and on-body performance as applicable. - Develop repeatable test setups, fixtures, scripts, and automated measurement methods to improve validation coverage, efficiency, and data quality. - Analyze RF performance data, identify failure modes and root causes, and drive corrective actions with Electrical, Firmware, Mechanical, and Manufacturing teams. - Guide RF-critical schematic and PCB design, including matching networks, grounding, shielding, routing, component selection, and antenna integration. - Apply RF circuit, electromagnetic, and system analysis using tools such as CST, HFSS, MATLAB, Python, or similar tools. - Establish production test methods, limits, and correlation studies while supporting manufacturing troubleshooting and wireless regulatory certification. - Advance next-generation RF architectures, antenna technologies, validation methods, and manufacturing techniques while communicating technical risks and recommendations across engineering teams. - Travel up to 15%, domestically and internationally. QUALIFICATIONS - BS or higher in Electrical Engineering or related field. - 5+ years of relevant RF or wireless engineering experience. - Demonstrated expertise in RF system characterization, validation, debugging, and root-cause analysis. - Background in conducted and radiated wireless testing, including transmitter performance, receiver sensitivity, antenna performance, coexistence, and desense. - Hands-on proficiency with RF lab equipment, including spectrum analyzers, signal generators, VNAs, oscilloscopes, wireless communication testers, and calibration tools. - Familiarity with antenna and OTA measurements, including return loss, efficiency, radiation performance, TRP, and TIS. - Strong command of RF and electrical engineering principles, including impedance matching, transmission lines, circuit design, PCB layout, grounding, shielding, and antenna integration. - Working knowledge of RF test automation, data analysis, or electromagnetic simulation using tools such as Python, MATLAB, LabVIEW, CST, or HFSS. - Excellent communication skills, with experience supporting product validation, manufacturing, and wireless regulatory certification. - Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibilityThe WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $140,000 - $195,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

Location: New Jersey, United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role We are looking for a Senior Hardware Support Engineer to own production hardware reliability across large-scale, mission-critical data center environments. This role operates at the intersection of hardware engineering, operations, and vendors, ensuring fleet stability, rapid root cause identification, and continuous improvement of server and platform reliability. You will act as a senior escalation point for complex hardware and firmware issues affecting production systems, driving investigations from symptom to root cause and coordinating resolution across engineering, vendors, and on-site teams. The role requires strong analytical thinking, structured problem-solving methodology, and deep hardware expertise in high-density, performance-critical infrastructure environments. Your responsibilities will include Leading root cause analysis for complex hardware and firmware failures across production fleets Aggregating recurring problems and error patterns to identify systemic reliability issues Acting as the senior escalation point for hardware-related incidents impacting availability or performance Coordinating with vendors to drive timely diagnostics, RMAs, firmware fixes, and corrective actions Partnering with internal engineering teams to validate fixes and prevent recurrence Performing hardware and firmware validation before fleet-wide rollout Driving structured incident investigations using established IT problem management methodologies Supporting on-site teams with technical coordination during critical hardware events Improving hardware observability, failure tracking, and reporting processes Contributing to long-term hardware reliability strategy and fleet-wide stability improvements What we expect you to have Strong hands-on expertise with server hardware in data center or large-scale production environments Proven experience performing root cause analysis of hardware and firmware failures Deep understanding of server components (CPU, memory, storage, networking, power, BMC) and failure modes Experience working directly with hardware vendors and engineering teams to resolve production issues Structured problem-solving skills using formal IT or incident management methodologies Strong analytical capabilities and ability to interpret logs, telemetry, and error patterns Experience coordinating technical activities with on-site operations teams Ability to manage multiple concurrent investigations with production impact Clear written and verbal communication skills in cross-functional environments It will be an added bonus if you have Experience in GPU-dense, AI, or high-performance computing environments Exposure to firmware lifecycle management and large-scale rollout validation Familiarity with Linux-based production systems and infrastructure tooling Experience improving fleet-wide hardware reliability metrics at scale Working conditions Onsite work in the Vineland New Jersey Data center. Participation in incident escalations for production-impacting events Key employee benefits Comprehensive medical, dental, and vision coverage 401(k) plan with company contribution Flexible paid time off Paid parental leave Professional development support Compensation $125,000 – $180,000 per year plus annual performance-based bonus. #LI-AL1 Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $147,200 — $183,900 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.