Вакансии

We are looking for someone who will own complex cross-functional and cross-regional projects from idea to result in the Global Drivers Marketing team.

Мы ищем в нашу команду двух специалистов для работы над проектом: арт-лида и 3D-текстурщика. На позицию арт-Лида нужен человек, который поможет нам поддерживать и развивать визуальную составляющую проекта, опираясь на уже сформированный стиль и ранее разработанную концепцию.

Location: Anywhere; Europe, Middle East, Africa, Asia-Pacific (EMEA, APAC) Workplace: Remote ABOUT US Circle is building the world’s leading AI-powered, all-in-one platform for digital businesses. We make it possible for creators, coaches, educators, and businesses to bring together their audience with engaging discussions, live streams, events, chat, courses, and payments — all in one place, all under their own brand. We’re proud to be a fully remote company of around 270 (and growing!) team members from 30+ countries around the world. We seek exceptional individuals around the world, set them up to do the best work of their lives, and in turn, create a meaningful impact in their own lives. We don't track hours, but we do manage for high expectations very closely. We collaborate across time zones, are highly async, and like to document a lot. Twice a year, we bring the whole company together in beautiful places around the world for our company offsites. So far, we’ve hosted offsites in Turkey, Portugal, Mexico, Thailand, Colombia, Italy, Ireland, and more, with still more to come! Check out our Careers https://careers.circle.so/ page for more about working at Circle. ABOUT THE ROLE The AI Quality engineering team at Circle owns the foundation for measuring, diagnosing, and improving the quality of Circle's AI-powered features. This team focuses on building the infrastructure to measure, diagnose, and improve production AI systems, rather than ML research or model training. We're looking for a Lead Engineer to help us build out the evaluation frameworks, observability tooling, and diagnostic infrastructure that tell us whether our AI Agents are working well, where to improve them, and how to make them faster and more cost-efficient. This is a hands-on player-coach role. You’ll also lead and manage the AI Quality engineering team, with an ambitious and growing roadmap. If you're excited about making AI systems work reliably, efficiently, and at scale, this is for you. WHAT YOU'LL BE DOING - Build and own our evaluation infrastructure. Design the CI/CD pipelines, scorers, and datasets that tell us whether Circle's AI agents (planners, tool-callers, and sub-agents) are actually working, from a single tool call to a full multi-turn conversation. - Diagnose exactly where quality breaks down. Trace failures across the agent pipeline including plan creation vs. execution, tool selection, tool trajectory in complex areas like workflows, site builder, and analytics. Turn what you find into prototypes that solve the issue or identify priorities for AI core engineering can help. - Grow the datasets that make evaluation possible. Stand up annotation workflows and build out AI-generated and simulated conversations so we can cover more of the product faster than manual labeling alone. - Run structured experiments across prompts, models, and the agent harness. Evaluate new and open-source models against our production baseline, build the framework we use to decide when to shift models, and chase cost and latency wins through model swaps, caching, and routing by plan complexity. - Lead and grow the AI Quality engineering team. Set technical direction and manage day-to-day priorities, all while staying hands-on in the code yourself. - Partner closely with AI Core engineering. Work with the engineers building Circle's AI products so they have real confidence that their changes are actually improving quality, not just shipping. WHAT YOU'LL NEED TO BE SUCCESSFUL - 7+ years of experience building and shipping production software, ideally including LLM-powered agents that take real actions in a product. You've worked on complex, tool-using systems (multiple tools, planning or orchestration, sub-agents) not just simple, single-turn assistants, and you can walk us through something you shipped and how you knew it was actually working. - Comfortable in Ruby on Rails / Python or ready to pick them up quickly. Ruby on Rails is our production system and the foundation that Circle’s AI Agents are built on and proficiency in Python is a strong plus, especially for the data and evaluation side of the work. - Experience building evaluation or observability infrastructure for ML/AI systems. You've built eval pipelines, scorers, dashboards, or CI/CD for evals before and have experience with evaluation frameworks like Braintrust, LangSmith, or similar. - Experience designing datasets, annotation workflows, or labeling pipelines for ML/AI evaluation. You know how to turn raw examples into a dataset you can trust through human annotation, AI-generated data, or simulation. - Learn fast, experiment aggressively, and thrive in a highly dynamic environment. You’ll need to be comfortable running a lot of experiments and letting the results settle the argument, including the ones that don't work (which will be many of them in the beginning). - Comfortable in a fast-paced environment with ambiguity. You’ll need to learn and pick up new technologies when projects require it. - Strong alignment with our company values https://circle.so/careers. - You are proficient in English (spoken, written, and reading) at a CEFR Level C2 https://magoosh.com/english-speaking/english-proficiency-levels-a-guide-to-determining-your-level/ / ILR Level 5 https://www.govtilr.org/.   COMPENSATION & BENEFITS Circle offers U.S.-benchmarked compensation globally, equity in the company with ongoing refresh grants, and 35 days of paid time off each year. We’re a remote-only team that comes together twice a year for company retreats in incredible destinations around the world. Alongside incredible flexibility and autonomy, we offer a benefits package that supports health, wellbeing, and professional growth. Learn more in our Candidate Hub. https://circleco.notion.site/circle-candidate-hub LEARN MORE - Candidate Safety & Interview Process Notice https://app.notion.com/p/circleco/Circle-Candidate-Hub-374b655313b7803d9580fb7da4f51acf?source=copy_link#374b655313b780e5b681c4d56b962790 - Diversity, Equity & Inclusion https://app.notion.com/p/circleco/Circle-Candidate-Hub-374b655313b7803d9580fb7da4f51acf?source=copy_link#374b655313b7807a8e3ff5c25a1d93ba - How We Use Candidate Data https://app.notion.com/p/circleco/Circle-Candidate-Hub-374b655313b7803d9580fb7da4f51acf?source=copy_link#374b655313b780e49e98f390eec6bb51 - Equal Employment Opportunity https://app.notion.com/p/circleco/Circle-Candidate-Hub-374b655313b7803d9580fb7da4f51acf?source=copy_link#374b655313b7807a967dea67e68f31f0 - Visit our Candidate Hub https://circleco.notion.site/circle-candidate-hub to learn more about working at Circle, our benefits, and our hiring process.

— Встраивать автоматические проверки безопасности в GitLab CI/CD и разбирать результаты AI-анализа; — Обеспечивать защиту, мониторинг и безопасное развертывание в Kubernetes, PostgreSQL, ELK, Grafana;

• Работать напрямую с владельцем и управляющим партнёром компании: сопровождать текущие клиентские и операционные вопросы, контролировать исполнение задач и предоставлять информацию по их статусу. • Сопровождать текущую работу с состоятельными частными клиентами (HNWI/UHNWI) по банковским, брокерским и инвестиционным вопросам.

PR-менеджер в инди-студию Next Genium отвечает за продвижение PC-игр на глобальном рынке и полное ведение Steam-воронки: от оформления страницы и настройки вишлистов до фестивалей, Playtest, демо и релиза. • Полное ведение Steam-страницы: оформление, тексты, скриншоты, трейлеры, теги, локализации, обновление материалов к каждому биту;

- Сбор и анализ требований, интервьюирование бизнес-пользователей; - Моделирование целевых процессов в 1С ERP и WMS;

-Выбор и построение подходящих математических моделей для решения поставленных задач. -Выбор оптимальной архитектуры решения задач продукта.

Управление блоком подбора персонала (Executive search, Middle management recruitment, массовый подбор); Самостоятельный подбора ТОП-менеджеров и редких специалистов;

Основные задачи: подготовка инструментов и тестовых данных, проведение нагрузочного тестирования ТКС, БО, сервисов и подсистем платформы ASTS, сбор и анализ результатов. Требования: Более 5 лет опыта в разработке и тестировании.

Senior QA Компания: Новэлект Локация: РФ (строго) Формат работы: Удаленно Зарплата: 235 000–260 000 net (ИП, СЗ) Основные задачи Задачи, связанные с подготовкой (включая инструменты и тестовые данные), проведением нагрузочного тестирования ТКС, БО, сервисов и подсистем платформы ASTS, сбором и анализом результатов.

Задачи: — Трансформировать сложные клиентские брифы в эффективные медиапланы — Руководить разработкой стратегических предложений уровня Tier 1 и масштабных проектов — Применять и оптимизировать планирование для нестандартных, экспериментальных или новых тактик — Вести кросс-функциональные инициативы в рамках функции планирования — Обучать и наставлять специалистов уровня Middle и Junior — Проводить презентации на уровне руководства для клиентов и руководства Условия: — Возможность работать удалённо — Зарплата в валюте

— Вести полный цикл подбора специалистов уровня middle+ и некоторых руководителей высшего звена. — Искать кандидатов в Европе, Армении и Бразилии.

— создавать стилизованные low-poly локации, окружение, здания, пропсы, косметику, NPC и простых персонажей; — вести полный пайплайн: моделинг, UV, текстуры, экспорт / импорт и настройка в Roblox Studio;

- Уровень midlle (опыт работы в роли бизнес-аналитика от 3 лет). - Опыт описания бизнес-процессов (уверенное владение нотацией BPMN), моделирование бизнес-процессов, описание процессов AS IS и TO BE, участие в оптимизации бизнес процессов заказчика для достижения целевых КПЭ.

Location: San Francisco; Toronto; New York; Montreal; Seattle Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE Forward Deployed Engineering is Baseten’s swat team. We’re deeply technical, great with customers and fast, and we make the platform better with everything we learn in the field. FDEs take on the hardest inference problems for our most strategic customers: novel architectures, extreme scale, tight latency budgets. Then we turn those solutions into a platform no one can match. We’re scaling the team quickly. We need someone to build the operating system that lets a fast-growing team of engineers stay focused on hard problems instead of coordination. This is a high-visibility role with direct exposure to our largest customers and to company leadership. You’ll shape how a new kind of engineering team operates in the AI industry. RESPONSIBILITIES - Run the priority account cadence. Own the operating rhythm for our top accounts: daily hot-account check-ins, the weekly “forest view” review with leadership, and the account list itself with Sales leadership. Goal: zero surprise escalations to our execs. - Make the bridges work. Our FDE team connects to SA and Sales, Product, engineering (inference, infra), capacity and on-call. You’ll make sure each connection has a clear owner, cadence and SLA, with no hand-offs falling through the cracks: - Account transitions between solution architect and FDE, with exit criteria and runbooks - Non-P0 escalations to engineering teams, tracked and burned down weekly - Customer patterns and gaps flowing into the product roadmap - Drive cross-team programs for our largest customers. Coordinate multi-team efforts such as dedicated-capacity rollouts, cluster migrations, capacity reservations and large customer launches. Bring together various teams so these run on a plan, not on heroics. - Reduce toil and protect platform time. Track where engineering time goes: incidents another team owns, manual routing and config changes, after-hours pages. Work with engineering leads to remove the biggest sources of obstacles, so FDEs keep 30% of their time for shaping the platform. - Own the metrics. Build and report the metrics scorecard (account health, response times, toil, load per engineer, team health) to leadership. - Help us scale the team. Drive programs like new-hire enablement and certification, account load balancing, and run book coverage. Partner with Recruiting on hiring operations as we grow. - Manage risk and dependencies. Maintain a clear-eyed view of cross-team dependencies and risks; surface them early, drive mitigation, and keep leadership informed with honest, signal-rich updates. - Communicate up, down, and across. Translate between deeply technical teams and senior leadership. Run effective program reviews and write the kind of crisp statuses that let busy people make fast decisions. REQUIREMENTS - 5+ years as a TPM (or engineer turned TPM) on infrastructure, cloud or customer-facing technical programs - Technical depth: you’re comfortable with ML Infra systems, Kubernetes, GPUs and distributed systems, and can follow an incident channel or a design doc without a translator. Experience with LLM inference is a strong plus. - You’ve run programs across many teams at once and kept them moving without formal authority - Calm in the middle of an escalation: you bring structure to chaos and close the loop - You write clearly and concisely, for engineers and for execs - High ownership, and you’d rather fix the process than work around it NICE-TO-HAVES - Experience working on AI / ML Infra stack. - Background in solutions engineering, SRE or forward-deployed teams WHAT SUCCESS LOOKS LIKE - In your first few months, you'll have taken ownership of one or more in-flight programs, established the operating rhythm they were missing, and built the trust that makes teams want you in the room. - Within a year, the programs you run are the ones leadership doesn't worry about, because the structure is clear, the risks are visible early, and the follow-ups always close. BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

-Уровень midlle (опыт работы в роли бизнес-аналитика от 3 лет).

Требования к кандидату Опыт разработки на C# от 3 лет; Владение C# и .NET на уровне middle-разработчика и выше;