Вакансии

Задачи: — Развивать OpenAI/Anthropic-совместимое публичное API, API медиамоделей и транскрибации. — Отвечать за стабильность, идемпотентность и мониторинг API. — Быстро подключать новые LLM и медиамодели в течение нескольких часов после их релиза. — Разрабатывать MCP-серверы, инструменты для AI-агентов поверх API, SDK и публичную документацию. — Отвечать за биллинг, API-ключи, квоты, rate limits и управление доступами. — Развивать фронтенд разделы личного кабинета (управление ключами, лимитами, расходами) на React. — Разбирать сложные технические обращения от B2B-клиентов. Требования: — Опыт от 3 лет коммерческой разработки на Node.js + TypeScript (бэкенд) и React + TypeScript (фронтенд) в больших кодовых базах. — Опыт работы с PostgreSQL (Prisma/TypeORM), очередями (BullMQ/RabbitMQ/Kafka), уверенный API-дизайн (REST, версионирование). — Навыки работы с Docker, Kubernetes (умение писать манифесты и править GitLab CI), мониторинг (Prometheus, Grafana, Sentry). — Глубокое понимание LLM (SSE-стриминг, tool use, токены, контекстное окно), практический опыт с MCP и агентными сценариями. — Ежедневное использование AI-агентов в работе (на платной подписке). — Будет плюсом: Python, Go, tRPC, GraphQL, Redis, ClickHouse, векторные БД (Qdrant, pgvector), опыт высоких нагрузок (тысячи RPS) и интеграции платежных систем. Условия: — Конкурентная зарплата (обсуждается на собеседовании). — Работа над центральным продуктом компании — основой монетизации. — Полный доступ к GPTunnel, Claude Code, Cursor. — Свобода и ответственность за направление. — Потенциал роста до тимлида направления. — Обучение, конференции, ежедневная работа с передовыми AI-технологиями. — Гибкий формат работы (удалёнка / гибрид / офис — договоримся). — Интенсивный темп работы с быстрым тестированием и отключением неработающих решений. Город: г.Астана Формат работы: удалённая работа Опыт работы: не менее 3 лет Тип занятости: полная занятость

Вам предстоит проектировать и разрабатывать алгоритмы и сервисы для обработки разнородных данных в распределенной системе.

Ищем в команду специалиста по OpenBMC, которому предстоит масштабная и амбициозная задача: портирование, адаптация и поддержка OpenBMC на серверных платформах как на базе процессоров Intel (x86), так и на отечественных процессорах «Байкал» (ARM). Знание Linux (архитектура драйверов ядра);

Прогнозировать спроса для товаров без истории продаж («новинок»): разрабатывать модели холодного старта на основе атрибутов товара, категории, характеристик продавца и информации об аналогах.

Задачи: — Исследовать данные, разрабатывать новые информативные признаки и добавлять в командный пайплайн новые источники. — Строить ML модели на основе различных данных: табличные, последовательности событий (кликстрим, транзакции и т.д.). — Реализовывать прикладные модули командного фреймворка разработки для повышения производительности DS и улучшения качества кода в промышленной среде. Требования: — Знание основных алгоритмов классического ML (линейные модели, метрические алгоритмы, градиентный бустинг) и их применения в задачах регрессии, классификации, ранжирования. — Уверенное использование SQL. — Отличное знание Python, в том числе библиотек catboost, pandas, numpy, sklearn. — Будет плюсом: опыт построения uplift-моделей, опыт решения задач реальных бизнес-задач, понимание принципов и деталей работы PySpark. Условия: — Офисный формат работы. — Современный IT-офис вблизи Москва-Сити с фитнес-залом. — Ипотека с выгодой для сотрудника и льготные условия кредитования. — Бесплатная подписка СберПрайм+. — Скидки на продукты компаний-партнеров. — ДМС с первого дня и льготное страхование для близких. — Корпоративная пенсионная программа. — Обучение за счет компании: онлайн-курсы в онлайн-школе Сбера и неограниченный доступ к библиотеке, обучение в Корпоративном университете, тренинги, митапы и возможность получить новую квалификацию. — Крупнейшее DS&AI Community — более 600 DS-банка, регулярный обмен знаниями, опытом и лучшими практиками, интерактивные лекции и мастер-классы от ведущих ВУЗов и экспертов технологических компаний, дайджест о самых последних разработках в области DS&AI и отчеты с крупнейших конференций мира.

Задачи: — Анализ товарной категорий; — Прогнозирование товарных остатков, продаж и закупки; — Составление отчетности; — Работа по сокращению товарных запасов и улучшение представленности товарного ассортимента в магазинах. Требования: — Опыт работы в Excel (с Power Query, Power Pivot), SQL, Python; — Знание и работа с математическими моделями прогнозирования будет большим плюсом; — Понимание и опыт работы в ритейле; — Аналитик – можно Data scientist; — Стрессоустойчивость, коммуникабельность. Условия: — Работа в офисе м. Кунцевская, бизнес центр Kutuzov Tower; — График работы 5/2 с 09:00 до 18:00; — Оформление по ТК РФ, официальная зарплата (больничные, отпуска); — Заработная плата обсуждается на собеседовании; — Корпоративные скидки на продукцию компании (алкоголь); — Подарки сотрудникам и их детям на праздники.

Задачи: — поддерживать владельца продукта: формирование требований, приоритетов, критериев приемки, контроль статуса гипотез и коммуникация со стейкхолдерами — описывать клиентские сценарии внешнеэкономической деятельности: валютные операции юрлиц, их потребности и продуктовые решения, которые их удовлетворяют — ставить задачи для специалистов по машинному обучению: определять, что именно прогнозируется, на основе каких данных и какой результат считать полезным — принимать прототипы и сопровождать передачу решений в разработку — готовить материалы для проектного офиса и смежных команд. Требования: — профильное образование в сфере экономики, финансов или международных отношений — опыт работы бизнес-аналитиком минимум два года, включая проекты на пересечении бизнеса и дата-продуктов — понимание основ внешнеэкономической деятельности: платежи, валютные операции, внешнеторговые сценарии, базовые потребности казначейств или подразделений ВЭД — понятийное понимание искусственного интеллекта — уверенная работа с требованиями: пользовательские истории, критерии приемки, модели AS-IS/TO-BE — умение строить эффективные коммуникации между владельцем продукта, заказчиком, пользователями и командой — способность адаптироваться и эффективно действовать в условиях быстрых изменений. Будет плюсом: — опыт работы в сфере внешнеэкономической деятельности, корпоративного банкинга, казначейства, валютного контроля или продуктов для юридических лиц — участие в сопровождении проектов на основе машинного обучения и приемке прототипов — владение навыками SQL и Python для анализа данных и проверки гипотез. Условия: — удобный современный офис возле метро Кутузовская — регулярный пересмотр заработной платы и возможность получения годовой премии — корпоративный спортзал и места для отдыха сотрудников — уникальная система повышения квалификации и карьерного роста от Сбера — расширенная медицинская страховка и льготы на страховки для членов семьи — скидка на ипотеку размером в треть ключевой ставки Центробанка России — совместная подписка СберПрайм до трех человек — бонус за рекомендации коллег присоединиться к команде Сбера — корпоративная пенсионная программа.

Проведение ручного функционального, регрессионного тестирования в UI, API, DB в рамках микросервисной архитектуры; Знание теории тестирования и техник тест-дизайна;

Подготовка и настойка тестового окружения (Linux, Windows, MacOS, iOS, Android). Выполнение ручного тестирования продуктов (десктопные и мобильные приложения, утилиты, плагин для web-браузеров).

Разрабатывать и поддерживать Ansible playbook’и, шаблоны конфигураций и docker-compose файлы. Внедрять практики IaC для управления инфраструктурой.

Location: India; Australia; Japan; Singapore; Philippines; New Zealand About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking a highly skilled Machine Learning Research & Engineering Specialist to contribute to an advanced AI training project focused on model development, training and inference systems, numerical computing, and performance optimization. This is a coding-intensive role requiring hands-on experience with Python, machine learning engineering, and coding agents integrated into development workflows. You will build, modify, debug, and validate machine learning implementations, create reproducible training and inference pipelines, and optimize systems for correctness, memory usage, and throughput. The ideal candidate combines strong quantitative foundations with practical coding skills and experience solving complex machine learning engineering problems. SENIORITY: Experienced / Research-Level Engineer EDUCATION: Master's degree or PhD in a relevant quantitative discipline LANGUAGE: Strong written and verbal English LOCATION: Remote — Worldwide Key Responsibilities Develop, implement, and validate machine learning models, training pipelines, inference systems, and supporting infrastructure. Implement or modify model components, data pipelines, evaluation systems, and numerical methods using Python. Build reproducible programmatic workflows using Python, command-line tools, and relevant machine learning frameworks. Debug numerical, algorithmic, and system-level failures to identify root causes and implement reliable solutions. Optimize model training and inference for memory usage, computational efficiency, throughput, and performance. Design and execute tests to verify implementation correctness and compliance with objective performance requirements. Review and validate challenging machine learning engineering tasks, including existing code and proposed solutions. Use coding agents as part of the development workflow to accelerate implementation, debugging, testing, and code review while validating generated results. Document technical approaches, implementation decisions, test results, and performance findings clearly. Deliver high-quality, reproducible task submissions within project deadlines. Requirements Master's degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, Statistics, Engineering, or a closely related quantitative discipline. Strong professional or research experience in machine learning and practical ML engineering. Strong Python programming skills, including the ability to implement, debug, test, and optimize non-trivial code. Hands-on experience using coding agents within a Python development workflow. Understanding of machine learning model development, training and inference workflows, and evaluation methods. Ability to build reproducible implementations and verify correctness through systematic testing. Strong quantitative reasoning and problem-solving skills, particularly when diagnosing numerical or computational issues. Ability to work independently, manage technical tasks, and meet defined quality and submission requirements. Strong written communication skills and the ability to explain technical findings. Availability to contribute approximately 15 hours per week and begin the first task within 24–48 hours after onboarding.

​​​​​​ анализ данных и проверка гипотез для решения бизнес-задач; разработка и валидация ML-моделей (регрессия, классификация, кластеризация, ансамбли) feature engineering: подготовка и проектирование признаков;

Location: New York Workplace: Hybrid ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. The Role We are seeking highly experienced Site Reliability Engineers (SRE) to shape the reliability, scalability and performance of our platform and customer facing applications. You will work closely with our software engineers and research teams to ensure our systems meet and exceed our internal and external customers' expectations.     What You Will Do As a Site Reliability Engineer, you balance the day-to-day operations on production systems with long-term software engineering improvements to reduce operational toil and foster the reliability, availability, and performance of these systems.   Operations • Design, build, and maintain scalable, highly available and fault-tolerant infrastructures to support our web services and ML workloads • Make sure our platform, inference and model training environments are always highly available and enable seamless replication of work environments across several HPC clusters • Operate systems and troubleshoot issues in production environments (interrupts, on-call responses, users admin, data extraction, infrastructure scaling, etc.) • Implement and improve monitoring, alerting, and incident response systems to ensure optimal system performance and minimize downtime • Implement and maintain workflows and tools (CI/CD, containerization, orchestration, monitoring, logging and alerting systems) for both our client-facing APIs and large training runs • Participate occasionally in on-call rotations to respond to incidents and perform root cause analysis to prevent future occurrences   Development • Drive continuous improvement in infrastructure automation, deployment, and orchestration using tools like Kubernetes, Flux, Terraform • Collaborate with AI/ML researchers to develop and implement solutions that enable safe and reproducible model-training experiments • Build a cloud-agnostic platform offering an abstraction layer between science and infrastructure • Design and develop new workflows and tooling to improve to the reliability, availability and performance of our systems (automation scripts, refactoring, new API-based features, web apps, dashboards, etc.) • Collaborate with the security team to ensure infrastructure adheres to best security practices and compliance requirements • Document processes and procedures to ensure consistency and knowledge sharing across the team • Contribute to open-source projects, research publications, blog articles and conferences   What We're Looking For • Master’s degree in Computer Science, Engineering or a related field • 7+ years of experience in a DevOps/SRE role • Strong experience with cloud computing and highly available distributed systems • Exposure to site reliability issues in critical environments (issue root cause analysis, in-production troubleshooting, on-call rotations...) • Experience working against reliability KPIs (observability, alerting, SLAs) • Hands-on experience with CI/CD, containerization and orchestration tools (Docker, Kubernetes...) • Knowledge of monitoring, logging, alerting and observability tools (Prometheus, Grafana, ELK Stack, Datadog...) • Familiarity with infrastructure-as-code tools like Terraform or CloudFormation • Proficiency in scripting languages (Python, Go, Bash...) and knowledge of software development best practices • Strong understanding of networking, security, and system administration concepts • Excellent problem-solving and communication skills • Self-motivated and able to work well in a fast-paced startup environment   Your application will be all the more interesting if you also have: • experience in an AI/ML environment • experience of high-performance computing (HPC) systems and workload managers (Slurm) • worked with modern AI-oriented solutions (Fluidstack, Coreweave, Vast...) WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Denver, Colorado, 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 is building data pipelines to power the modern data stack for thousands of companies. As the Manager on the GTM Finance and Strategy team, you’ll operate at the center of go-to-market strategy — owning and building critical models to forecast ARR and GAAP Revenue, analyzing and providing perspective around strategic initiatives, and delivering insights that shape executive and Board decisions. You’ll partner closely with Analytics, Revenue Accounting, Revenue Operations, External Reporting, and GTM leadership. This role reports to the Sr. Manager of GTM Finance and blends strategic finance, data storytelling, technical problem-solving, and operational execution. You’ll drive forward-looking planning, help scale our forecasting infrastructure for a hybrid pricing motion that includes both subscription contracts and usage-based (consumption) revenue, and support high-visibility initiatives across the function. This is a high-impact role ideal for someone who is passionate about leveraging data and financial insight to guide strategy and operational execution in a high-growth, cross-functional environment. This is a full-time, hybrid position based out of our Oakland, CA or Denver, CO office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team. Tools/Technologies You’ll Use Claude / ChatGPT, Looker, SFDC, BigQuery, G-Suite What You’ll Do Revenue Modeling & Forecasting: Own and re-evaluate our rolling GAAP revenue and ARR forecast models, including renewal behavior (NRR), new business, and contract-level revenue recognition across subscription and consumption-based streams. Evolve forecasting frameworks using both deterministic and AI/ML-driven approaches. Usage-Based Revenue: Build and maintain forecasting approaches for consumption revenue, including committed vs. overage usage, breakage, and the migration of customers between pricing models Business Partnering: Serve as a key advisor and partner to COO, CFO, and collaboration with Analytics, delivering actionable insights to improve efficiency, optimize investments, and accelerate growth. Strategic Decision Support: Deliver analysis that informs GTM investment, pricing and packaging, and target setting, and quantify the revenue impact of key business risks and opportunities Budgeting & Forecasting: Support annual planning and monthly/quarterly forecast cycles; partner closely with Revenue Accounting on close, variance analysis, and forecast-to-actual (BvA) tracking Performance Analysis: Own key revenue and retention metric packages — including NRR, ARPA, new business mix, ROI, and cohort trends — and surface insights to the CFO, executives, and the Board Forecast & Reporting Infrastructure: Use AI Tools, or SQL (BigQuery) / Python to automate data pulls, build repeatable and auditable models, and improve the accuracy, speed, and transparency of our topline forecast; partner with Analytics, AI Transformation and Systems on data quality, integrity and self-serve reporting capabilities. Executive Reporting: Create compelling, automated, executive-ready reports, dashboards, and narratives that distill complex data, trends, forecasts, and strategic implications into actionable recommendations for Finance leadership and GTM stakeholders. Team Leadership: Provide technical guidance, review work, and help raise the modeling standards and work products of the GTM FP&A team Skills We’re Looking For 5-7 years of experience in FP&A, strategic finance, revenue finance, or investment banking, with a strong focus on revenue forecasting Expert-level modeling skills (Excel/Sheets) with a commitment to formula-driven, driver based, auditable, well-documented models Experience with usage-based or consumption pricing models strongly preferred Technical aptitude: working proficiency in SQL, Python, or similar scripting, and hands-on use of AI tools to accelerate and elevate modeling, strategic analysis, and QA; experience with BI tools (e.g., Looker) and data warehouses (e.g., BigQuery, Snowflake) a plus Ownership mindset: takes a model or process from ambiguity to a repeatable, documented workflow with minimal oversight, including QA and reconciliation to source data Data storytelling: translates complex data into clear insights and recommendations for senior, non-finance audiences, with strong executive presence and attention to detail Demonstrated ability to partner cross-functionally and influence without authority Excellent communication skills with high attention to detail and executive presence Adaptable, resourceful, and excited by the challenge of working in a fast-moving, growth-stage company #LI-Hybrid The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Denver Pay Range $138,847 — $173,559 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: 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 is building data pipelines to power the modern data stack for thousands of companies. As the Manager on the GTM Finance and Strategy team, you’ll operate at the center of go-to-market strategy — owning and building critical models to forecast ARR and GAAP Revenue, analyzing and providing perspective around strategic initiatives, and delivering insights that shape executive and Board decisions. You’ll partner closely with Analytics, Revenue Accounting, Revenue Operations, External Reporting, and GTM leadership. This role reports to the Sr. Manager of GTM Finance and blends strategic finance, data storytelling, technical problem-solving, and operational execution. You’ll drive forward-looking planning, help scale our forecasting infrastructure for a hybrid pricing motion that includes both subscription contracts and usage-based (consumption) revenue, and support high-visibility initiatives across the function. This is a high-impact role ideal for someone who is passionate about leveraging data and financial insight to guide strategy and operational execution in a high-growth, cross-functional environment. This is a full-time, hybrid position based out of our Oakland, CA or Denver, CO office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team. Tools/Technologies You’ll Use Claude / ChatGPT, Looker, SFDC, BigQuery, G-Suite What You’ll Do Revenue Modeling & Forecasting: Own and re-evaluate our rolling GAAP revenue and ARR forecast models, including renewal behavior (NRR), new business, and contract-level revenue recognition across subscription and consumption-based streams. Evolve forecasting frameworks using both deterministic and AI/ML-driven approaches. Usage-Based Revenue: Build and maintain forecasting approaches for consumption revenue, including committed vs. overage usage, breakage, and the migration of customers between pricing models Business Partnering: Serve as a key advisor and partner to COO, CFO, and collaboration with Analytics, delivering actionable insights to improve efficiency, optimize investments, and accelerate growth. Strategic Decision Support: Deliver analysis that informs GTM investment, pricing and packaging, and target setting, and quantify the revenue impact of key business risks and opportunities Budgeting & Forecasting: Support annual planning and monthly/quarterly forecast cycles; partner closely with Revenue Accounting on close, variance analysis, and forecast-to-actual (BvA) tracking Performance Analysis: Own key revenue and retention metric packages — including NRR, ARPA, new business mix, ROI, and cohort trends — and surface insights to the CFO, executives, and the Board Forecast & Reporting Infrastructure: Use AI Tools, or SQL (BigQuery) / Python to automate data pulls, build repeatable and auditable models, and improve the accuracy, speed, and transparency of our topline forecast; partner with Analytics, AI Transformation and Systems on data quality, integrity and self-serve reporting capabilities. Executive Reporting: Create compelling, automated, executive-ready reports, dashboards, and narratives that distill complex data, trends, forecasts, and strategic implications into actionable recommendations for Finance leadership and GTM stakeholders. Team Leadership: Provide technical guidance, review work, and help raise the modeling standards and work products of the GTM FP&A team Skills We’re Looking For 5-7 years of experience in FP&A, strategic finance, revenue finance, or investment banking, with a strong focus on revenue forecasting Expert-level modeling skills (Excel/Sheets) with a commitment to formula-driven, driver based, auditable, well-documented models Experience with usage-based or consumption pricing models strongly preferred Technical aptitude: working proficiency in SQL, Python, or similar scripting, and hands-on use of AI tools to accelerate and elevate modeling, strategic analysis, and QA; experience with BI tools (e.g., Looker) and data warehouses (e.g., BigQuery, Snowflake) a plus Ownership mindset: takes a model or process from ambiguity to a repeatable, documented workflow with minimal oversight, including QA and reconciliation to source data Data storytelling: translates complex data into clear insights and recommendations for senior, non-finance audiences, with strong executive presence and attention to detail Demonstrated ability to partner cross-functionally and influence without authority Excellent communication skills with high attention to detail and executive presence Adaptable, resourceful, and excited by the challenge of working in a fast-moving, growth-stage company #LI-Hybrid The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Oakland Pay Range $148,104 — $185,130 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: Remote - Ontario, Canada (DNU) Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Staff Machine Learning Engineer on Twilio’s AI/ML Platform team. About the job We are actively recruiting for this role to fill an existing vacancy. This position is needed to build the foundational AI/ML capabilities and common platform tooling that power intelligent engagement experiences across Twilio. You will influence the design and evolution of our company-wide ML/AI Ops foundation, ensuring every AI capability incorporates rigorous offline and online evals to maintain exceptionally high quality. You will drive improvements to managing LLM workloads across the company, while ensuring easy and compliant access to data for AI/ML exploration and product development. This role requires a builder mindset to bridge theoretical research, production-grade experimentation, and scalable, enterprise-quality software. Responsibilities In this role, you’ll: Conduct deep-dive research into and implement state-of-the-art LLM inference and orchestration. Identify opportunities to leverage small language via fine-tuning/distillation. Build ML systems that hold up at Twilio scale. Set standards and tooling for building evals across a range of AI/ML capabilities. Rapidly acquire new technical skills and knowledge in a fast-paced, high-delivery environment. Proactively leverage and integrate the latest AI development stacks to bypass boilerplate engineering and focus on core differentiation. Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! *Required: 8+ years applied ML/AI experience with a track record of owning technically ambitious systems end to end rather than contributing to someone else's design. Comfort operating in a 0-to-1 setting with ambiguous requirements and a strong bias for action. Proficiency in Python programming language. Experience building cloud-based services on AWS, GCP, or Azure, with high-volume data, streaming or real-time inference paths, and a range of data stores. Strong fundamentals of statistical machine learning algorithms, transformer models, LLMs. Extensive experience with ML Ops and LLM Ops patterns, including designing and implementing rigorous evaluation metrics for non-deterministic AI features at scale. Strong communication skills and highly effective collaborator who works well with teammates. Familiarity with AI-assisted development tools (e.g., Claude, Codex, GitHub Copilot, Cursor, etc.). Desired: Prior experience building evals for autonomous agents and large language models. Prior experience building autonomous agents that handle multi-turn conversations and maintain long-term context/consistency. Prior experience working in a globally distributed team. Evidence of technical leadership/impact, such as contributions to open-source data/ML projects and/or published technical presentations, blog posts, papers, or research. Location This role will be remote and based in Ontario, British Columbia or Alberta, Canada. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Based on role, employees may also be eligible for additional compensation and benefits, including but not limited to incentive programs, commissions, equity grants, health and wellness benefits, retirement contributions, and paid time off. The estimated pay ranges for this role are as follows: $160,320 - $200,400 Target Bonus Percentage 12.5% The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic . Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. . Stay alert to recruitment fraud We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @ twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps. . Twilio is proud to be an equal opportunity employer. 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. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Location: San Francisco; Remote; New York Patreon is a media and community platform where over 300,000 creators give their biggest fans access to exclusive work and experiences. We offer creators a variety of ways to engage with their fans and build a lasting business including: paid memberships, free memberships, community chats, live video, and selling to fans directly with one-time purchases.   Ultimately our goal is simple: fund the creative class. And we're leaders in that space, with: - $10 billion+ generated by creators since Patreon's inception - 100 million+ free memberships for fans who may not be ready to pay just yet, and - 25 million+ paid memberships on Patreon today.   We're continuing to invest in building the best platform for creators and are looking for a Staff Backend Engineer, Video Platform to help power reliable, high-quality live video experiences for creators and their communities.   This role can be based in San Francisco or New York, with three days per week in the office under our hybrid work model. Remote candidates may also be considered.   About the Team The Backend Platform team builds the foundational systems and infrastructure that power Patreon's creator platform. We own core backend services, APIs, databases, and developer tooling that help product teams ship quickly and reliably at scale. Our scope also includes live video infrastructure, enabling creators to connect with their communities through reliable, high-quality streaming across web and mobile. We're growing the team to strengthen these foundations and support Patreon's next phase of growth. About the Role As Patreon's first dedicated video engineer, you’ll shape the live video platform that connects creators with their communities. You’ll combine strong backend engineering with deep streaming expertise to build reliable, high-quality live experiences at scale. - Lead the architecture and delivery of live video systems spanning ingest, transcoding, packaging, delivery, and playback. - Build scalable backend services and APIs that power live video experiences across web and mobile. - Improve end-to-end streaming latency, video quality, and reliability across devices and network conditions. - Drive video vendor evaluation, integration, and build-versus-buy decisions, balancing capabilities, cost, scale, and long-term flexibility. - Establish observability, quality metrics, service-level objectives, and load testing practices to prepare for major creator live events. - Own production reliability through incident response, debugging, capacity planning, and lasting improvements to system resilience. - Partner with product, infrastructure, web, and mobile engineers to shape a multi-quarter video roadmap that balances creator needs with architectural health. - Mentor engineers through hands-on collaboration and design reviews, growing video expertise within the team. What you'll need - Significant experience building and operating large-scale backend systems, with demonstrated technical leadership across teams. - Experience architecting and delivering live video systems supporting large audiences, ideally 100,000+ concurrent viewers. - Deep knowledge of live streaming technologies, including HLS, low-latency HLS, and WebRTC, and the trade-offs between latency, quality, reliability, and cost. - Experience diagnosing and improving streaming behavior, including buffering, adaptive bitrate delivery, stream failures, and the impact of packet loss. - Experience delivering broadcast and playback capabilities across web, iOS, and Android in partnership with client engineering teams. - Strong foundations in distributed systems, APIs, data storage, caching, queues, and event-driven architectures. - Experience evaluating and integrating video vendors, including understanding SDK limitations, quotas, scaling constraints, and pricing models. - A strong operational mindset, with experience defining video quality metrics, running load tests, debugging production issues, and supporting on-call coverage for live systems and major events. - Experience operating cloud-native systems using technologies such as AWS and Kubernetes. - Proficiency in Python, Go, or a similar backend language, with a commitment to hands-on engineering. - Ability to explain technical trade-offs clearly, guide cross-functional decisions, and translate ambiguous needs into a technical roadmap. - Experience mentoring engineers and establishing technical standards that improve system quality and team effectiveness. We hire talented and passionate people from different backgrounds because workplace diversity and inclusion is critical to our ability to serve creators worldwide. If you're excited about a role but your past experience doesn't match every bullet point outlined above, we strongly encourage you to apply anyway. If you're a creator at heart, are energized by our mission, and share our company values, we'd love to hear from you. About Patreon Patreon powers creators to do what they love and get paid by the people who love what they do. Our team is passionate about making this mission and our core values come to life every day in our work. Through this work, our Patronauts:   - Put Creators First | They're the reason we're here. When creators win, we win. - Build with Craft | We sign our name to every deliverable, just like the creators we serve. - Make it Happen | We don't quit. We learn and deliver. - Win Together | We grow as individuals. We win as a team.   Patreon is proud to be an equal opportunity employer. We provide employment opportunities without regard to age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, veteran status, or any other protected class. If you need a reasonable accommodation during the interview process, please let us know via email at accommodations@patreon.com   Patreon offers a competitive benefits package including and not limited to salary, equity plans, healthcare, flexible time off, company holidays and recharge days, commuter benefits, lifestyle stipends, learning and development stipends, patronage, parental leave, and 401k plan with matching.   Patreon operates under a hybrid work model, where employees based in office locations are expected to come into the office three days per week, excluding sick time and paid leave. The goal of this policy is to be intentional about the in-person time we spend together to strengthen the feeling of community at Patreon. Candidates hired into remote-eligible roles are not expected to meet the same requirements.   At Patreon, we believe in fair and transparent pay. In compliance with New York and California pay transparency laws, we are sharing the expected salary range for this role.   The posted salary range is dependent on the location and the level. This range may encompass multiple levels within the role's job family. The final offer will be based on candidate's experience, skills, competencies, and geographic location, aligning with the appropriate job level within Patreon leveling framework. For remote employees located outside CA and NY, salary may vary based on location and local market conditions.   Patreon reserves the right to modify or update compensation and benefits at any time.

Предполагается выполнение комплексной работы, которая может частично или полностью включать: программирование микроконтроллеров STM32 и ESP32; разработку следящих систем на основе BLDC-приводов;