Обязательные требования:
— Гражданство РФ, локация РФ
— Высшее техническое образование (IT инженер/естественные науки)
— Опыт в финтех
— Опыт работы на проектах внедрения/развития хранилищ данных и/или Data Lake от 3-х лет
— Глубокое знание SQL (диалект Oracle), написание сложных запросов, чтение PL/SQL-кода
— Опыт проектирования и разработки отчетности на базе MS SQL Reporting Services или Tableau
— Опыт проектирования объектов БД, понимание принципов построения DWH
— Навыки описания потоков загрузки данных в хранилища (DWH), составления технической документации (Source2Target, ТЗ)
— Опыт работы с ETL-средствами, предпочтительно Informatica Power Center
— Опыт работы с трекинг-системами, в частности JIRA
Задачи аналитика:
— Миграция данных: проектирование ETL-процессов (Informatica PowerCenter) для переноса исторических данных из старой системы в новую DWH
— Разработка отчетности: создание дашбордов в Tableau или MS SQL Reporting Services для управленческой и регуляторной отчетности
— Архитектура хранилища: разработка логической модели данных (ERD, C4) под требования регулятора и бизнеса; проектирование витрин данных
— Интеграции: описание потоков загрузки данных (Source-to-Target mapping); настройка интеграции через REST API, Kafka или корпоративную шину сообщений (ESB)
— Документация: подготовка ТЗ, технических спецификаций и схем взаимодействия между системами
— Коммуникации: взаимодействие с бизнес-заказчиками, архитекторами и разработчиками для уточнения требований и реализации задач
Условия:
— Формат работы: удалённо
— Вилка зарплаты до 265 000 рублей на руки
О компании:
Devquality — компания, которая помогает бизнесу выпускать надёжные и эффективные ИТ-решения, фокусируется на качестве на всех этапах: от проработки требований до проверки результата.
Задачи:
– проектирование и разработка слоев данных (Raw, Clean, Enriched/Presentation) с учетом лучших практик моделирования (Data Vault 2.0 / 3NF для хранилища, Star Schema для витрин);
– разработка и внедрение кастомных алгоритмов дедупликации и Entity Resolution (Fuzzy Matching) на Python;
– формализация бизнес-правил качества данных в код, настройка уровней доверия к источникам и правил выживания (survivorship rules);
– внедрение Data Contracts и механизмов карантина (quarantine) для некачественных данных с возможностью их последующего разбора;
– настройка автоматизированного тестирования данных (Data Quality checks) в пайплайнах.
Требования:
– Продвинутый уровень SQL и опыт работы с dbt (или аналогами) для построения слоев данных;
– уверенное владение PySpark и/или pandas для обработки больших объемов данных и реализации логики матчинга;
– практический опыт применения библиотек нечёткого поиска и связывания записей (Splink, recordlinkage, dedupe, theFuzz);
– понимание принципов работы алгоритмов сравнения строк (Левенштейн, Джаро-Винклер, косинусное сходство на TF-IDF/эмбеддингах);
– глубокое понимание 2-3NF, Data Vault 2.0 и различий между слоями сырых, очищенных и обогащенных данных;
– опыт внедрения инструментов тестирования данных (Great Expectations, Soda, dbt tests, deequ или аналоги);
– опыт работы с оркестраторами (Airflow, Dagster или Prefect), уверенное использование Git и базовые навыки CI/CD для дата-пайплайнов.
Обязательные требования:
— Опыт работы в QlikSense или Insight более 3 лет;
— Количество завершенных проектов более 10;
— Уверенные навыки взаимодействия с бизнес-заказчиком;
— Согласование проектных решений как на техническом, так и на бизнес-уровне;
— Высокая мотивация в достижении результатов;
— Умение самостоятельно находить решения сложных проблем;
— Оценка трудозатрат и стоимости решения;
— Опыт проведения и организации нагрузочного тестирования;
— Навыки разработки: ETL, data modeling;
— Навыки моделирования и написания SQL-процедур;
— Навыки по оптимизации производительности скрипта и диаграмм интерфейса;
— Навыки Dashboard design, overall UI/UX design в QlikSense.
Дополнительные требования:
— Сертификация QlikSense;
— Знания по администрированию системы QlikSense средствами QMC, QV API, Sense API;
— Навыки VBA-программирования;
— Опыт написания Extentions и знание JavaScript;
— Знания инструментов отчетности Nprinting;
— Разработка экстракторов из SAP ERP, SAP BW;
— Опыт интеграции QlikSense во внешние среды (websites, SharePoint, etc.).
Удалённоsenior
Зарплата не указана
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Anthropic Fellows Program overview:
The program is designed to foster AI research and engineering talent by providing funding and mentorship to promising technical talent regardless of previous experience. Fellows primarily use external infrastructure such as open-source models and public APIs to work on projects aligned with Anthropic's research priorities, aiming to produce a public output like a paper submission. Multiple cohorts run each year with rolling application reviews.
What to expect:
— 4 months of full-time research
— Direct mentorship from Anthropic researchers
— Weekly stipend of 3,850 USD / 2,310 GBP / 4,300 CAD plus benefits varying by country
— Funding for compute (~$15k/month) and other research expenses
Interview process:
Includes initial application and reference check, assessments and interviews, and a research discussion.
Compensation:
Expected base stipend is 3,850 USD / 2,310 GBP / 4,300 CAD per week for 40 hours per week over 4 months, with possible extension.
The Anthropic Institute Fellows (Economics & Policy):
Mentors and research areas include Economics (Maxim Massenkoff, Peter McCrory) and Policy, Security, and Society (Jack Clark, Marina Favaro, Jim Baker).
Projects may include:
— Designing and conducting empirical research on AI's economic effects using external data sources
— Developing new methodological approaches for studying AI's impact on labor markets, future of work, and society
— Analyzing offense–defense balance for AI-enabled cyber and bio capabilities as models scale
— Measuring model performance increases with custom harnesses
— Identifying market-driven mechanisms to improve societal resilience to AI threats
— Identifying AI R&D metrics as early warning signals for recursive self-improvement
Candidate criteria:
— Interest in economics or policy research; prior experience is a plus but not required
— Adaptable and collaborative, able to take direction and contribute to team priorities
— Skilled at writing and communicating results, including null or unexpected findings
— Passionate about translating research insights into actionable recommendations for AI systems and policy
Good fit if:
— Motivated to ensure AI is safe and beneficial for society
— Interested in transitioning into AI research and possibly a full-time role at Anthropic
— Strong track record of empirical research
— Thrives in fast-paced, collaborative environments
— Can implement ideas quickly and communicate clearly
Requirements:
— Fluent in Python programming
— Available full-time for the Fellows program
Logistics:
— Must have work authorization and be located in the US, UK, or Canada during the program
— Workspace available in San Francisco; remote fellows accepted in UK, US, or Canada
— No visa sponsorship available; candidates must have or obtain full-time work authorization independently
— Program duration is 4 months full-time; partial commitments considered case-by-case
Additional notes:
— The program encourages applications from underrepresented groups and those who may doubt their qualifications.
— Anthropic is a public benefit corporation headquartered in San Francisco offering competitive compensation, benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and office space for collaboration.
— Candidates should be cautious of scams and only trust communications from @anthropic.com email addresses.
Anthropic Fellows Program is designed to foster AI research and engineering talent by providing funding and mentorship to promising technical talent regardless of previous experience. Fellows primarily use external infrastructure such as open-source models and public APIs to work on empirical projects aligned with Anthropic's research priorities, aiming to produce public outputs like paper submissions. The program runs multiple cohorts yearly with rolling application reviews, expecting a start in January 2027 but flexible start dates can be requested.
The program includes 4 months of full-time research, direct mentorship from Anthropic researchers, access to a shared workspace, connection to the AI safety and security research community, a weekly stipend of 3,850 USD / 2,310 GBP / 4,300 CAD plus benefits varying by country, and funding for compute (~$15k/month) and other research expenses.
The interview process involves an initial application and reference check, technical assessments and interviews, and a research discussion. Applicants are encouraged to apply even if they do not meet every qualification, with emphasis on diversity and inclusion.
There are two main fellow tracks:
ML Systems & Performance Fellows:
- Mentors include Alwin Peng and Zygi Straznickas.
- Projects may involve building CPU simulators for accelerator workloads, adding backends for accelerators on open source projects, building on-demand infrastructure, and creating complex synthetic data or environment pipelines.
- Candidates should have strong software engineering skills, experience with complex ML systems, ability to balance research and engineering rigor, comfort with large-scale distributed systems and high-performance computing, experience with training or evaluating large language models, and skills in analyzing and debugging model training.
- Fluency in Python and full-time availability are required.
Reinforcement Learning Fellows:
- Mentors include Ruhua Jiang, Kaidi Cao, Sunny Duan, David Brandfonbrener, Colt Steele, Dino Distefano, and Will Williams.
- Projects may include building model-based tools to understand and improve AI training data, research on generalization, creating RL environments to improve Claude models and safety-related tasks, and research and implementation of RL algorithms.
- Candidate criteria are similar to ML Systems Fellows.
Logistics:
- Participants must have work authorization and be located in the US, UK, or Canada during the program.
- Shared workspaces are available in San Francisco; remote participation is allowed in the UK, US, or Canada.
- Visa sponsorship is not provided; candidates must have or obtain full-time work authorization independently.
- The program duration is 4 months full-time, with possible extensions and flexibility for partial commitments.
Additional notes:
- No guarantee of full-time offers post-program, though strong performers may receive offers or continue impactful AI safety work elsewhere.
- Anthropic's full-time role policies do not apply to the Fellows Program.
- The company emphasizes collaborative, large-scale AI research with a focus on safety, interpretability, and steerability.
- Candidates must be fluent in Python and able to commit full-time.
- The program values diversity and encourages applications from underrepresented groups.
- Safety advice is provided regarding recruitment communications.
Apply at the provided link.
Company Overview:
Legion Technologies is a pioneer in AI-powered workforce management, offering a SaaS platform that helps large enterprises optimize labor efficiency and improve hourly employee experience through AI-driven demand forecasting, automated scheduling, time & attendance, and employee engagement tools. The mission is to transform hourly jobs into good jobs by providing intelligent automation and greater employee flexibility via a mobile app.
Role Summary:
The General Counsel (GC) is the chief legal officer and a key executive team member responsible for leading global legal, intellectual property, and corporate functions. The GC partners strategically with the CEO, executive team, and Board, building a high-performing legal organization to support growth, globalization, and product innovation. The GC oversees legal strategy across commercial/SaaS, privacy, AI governance, labor, corporate governance, IP, compliance, and risk management.
Key Responsibilities:
1. Legal Strategy & Leadership:
— Develop and execute legal strategy aligned with business objectives.
— Advise CEO, executives, and Board on legal, regulatory, governance, risk, compliance, fundraising, and transactions.
— Build and lead in-house legal team; manage external counsel.
— Establish scalable legal processes and playbooks.
2. Corporate Governance & Financing:
— Serve as corporate secretary; manage Board and committee governance.
— Oversee corporate structure, subsidiaries, and compliance.
— Support equity and debt financings, investor negotiations, and governance.
— Partner with Finance and People teams on equity plans and disclosures.
3. Commercial, Product & Partnership Counsel:
— Provide legal support for commercial operations including SaaS subscriptions, services, partner agreements, and data processing terms.
— Collaborate with Sales, Customer Success, Partnerships to manage deal cycles and risk.
— Partner with Product, Engineering, Security to ensure compliance of AI-enabled platform and integrations.
— Counsel on product features, AI use cases, mobile app, and international expansion.
4. Privacy, Data Protection & Terms of Use:
— Own global privacy and data protection program, ensuring compliance with US and international laws.
— Oversee Terms of Service, privacy policies, and product policies.
— Support security reviews, audits, incident response.
— Develop policies and training on data governance and ethical AI use.
5. Labor, Employment & Workforce Compliance:
— Advise on employment matters including hiring, terminations, performance, compensation.
— Support People team on labor law-compliant policies.
— Guide product features supporting labor and scheduling law compliance.
6. Intellectual Property & Innovation:
— Develop and implement global IP strategy covering patents, trademarks, copyrights, trade secrets, open-source.
— Partner with Product and Engineering to protect AI and workforce management innovations.
— Manage IP enforcement and defense.
7. Regulatory, Compliance & Risk Management:
— Monitor legal developments in AI, data privacy, employment, software.
— Design risk and compliance frameworks.
— Support investigations, ethics initiatives.
— Coordinate insurance coverage and claims.
8. Strategic Transactions & Corporate Development:
— Lead legal aspects of M&A, investments, partnerships.
— Provide guidance on competition, antitrust, regulatory issues.
Qualifications:
— J.D. degree and membership in good standing with a US state bar.
— 15+ years combined experience in top-tier law firms and in-house roles, including senior GC roles at high-growth tech or SaaS companies.
— Deep expertise in enterprise SaaS contracting, corporate governance, data privacy, IP strategy.
— Proven leadership in building legal teams supporting growth and international expansion.
— Business-minded advisor balancing risk and commercial objectives.
Preferred:
— Experience in HR tech, workforce management, fintech, or data-intensive SaaS.
— Leadership in AI/ML product legal and ethical issues.
— Experience with global customers across North America, EMEA, APAC.
— Experience with large enterprise and strategic partners like SAP.
Skills & Attributes:
— Exceptional judgment, integrity, discretion.
— Strong communication translating legal issues for non-legal stakeholders.
— Collaborative, low-ego leadership.
— Practical, fast-paced, high-growth environment comfort.
— Passion for improving hourly work.
Additional Information:
— Full-time, exempt position.
— Some travel required.
— Competitive compensation including salary, equity, benefits.
Compensation & Benefits:
— Base salary $250,000 - $300,000 plus bonus and stock equity.
— Benefits include flexible medical, dental, vision plans, 401k, paid time off, parental leave, wellness reimbursement, monthly lunch.
Equal Employment Opportunity:
— Legion is an equal opportunity employer committed to diversity and inclusion.
Contact for disability accommodation: recruiting@legion.co
WHO WE’RE LOOKING FOR
This role is for a recruiter who is comfortable working with technical profiles and understands that successful recruitment is more than simply forwarding CVs. You should be able to understand a vacancy, identify the right talent pool, find relevant candidates, conduct a strong first interview and keep the process moving until the candidate joins the company.
WHAT YOU’LL WORK WITH
Depending on current hiring needs, you may recruit:
• Software Developers
• QA Engineers
• DevOps / System Administrators
• Business & Data Analysts
• Other technical specialists
YOUR DAY-TO-DAY WORK
Discuss open positions with hiring managers and clarify requirements
Search for candidates using , GitHub, Telegram, Habr Career, hh.ru http://hh.ru/ and professional communities
Use Boolean and X-Ray search techniques to find passive candidates
Review CVs and profiles and conduct introductory interviews
Evaluate motivation, communication skills and overall fit for the role
Arrange technical interviews with relevant team members
Keep candidates informed throughout the process
Prepare and negotiate offers
Maintain an organized candidate pipeline and recruitment database
Track market trends and salary expectations
WHAT YOU SHOULD BRING
At least 1 year of IT recruitment experience
Experience hiring technical specialists
Good understanding of common IT roles, technologies and terminology
Ability to distinguish different seniority levels and understand basic technical requirements
Strong sourcing and headhunting skills
Confident use of and other professional platforms
Strong communication and negotiation abilities
Ability to manage several vacancies simultaneously
English B2+ for written communication and reading
Proactive approach and responsibility for results
В роли Senior DevOPS / SRE инженера предстоит заниматься управлением и оптимизацией облачных платформ, автоматизацией CI/CD и GitOps пайплайнов, а также внедрением Infrastructure as Code с помощью инструментов Ansible, Terraform и Pulumi. Работа включает поддержку контейнеризированных сред на базе Docker, Docker Swarm и Kubernetes, а также обеспечение надежной инфраструктуры для BI-сервисов и data-driven приложений, таких как ClickHouse, SQL, Airflow, Tableau и Superset. Взаимодействие с командами разработки и BI направлено на повышение стабильности развертывания и эффективности операций. Требуется уверенное владение одной из облачных платформ, опыт построения масштабируемой IT-инфраструктуры, навыки администрирования Linux-серверов, понимание сетевой модели OSI и принципов информационной безопасности. Опыт работы с инфраструктурой для Business Intelligence и data-related решений будет преимуществом. Работа предполагает офисный формат в Минске или Лимассоле с зарплатой от 4000 до 5000 USD.
Gana dinero grabando actividades de tu vida diaria.
Buscamos personas para grabar actividades cotidianas desde una perspectiva en primera persona utilizando una aplicación móvil.
Puedes grabar tareas que ya realizas normalmente, como:
— Cocinar
— Limpiar
— Doblar ropa
— Ordenar espacios
— Hacer jardinería
— Pasear al perro
Los videos ayudan a entrenar sistemas de IA y robótica para comprender cómo las personas interactúan con el mundo real.
Lo que ofrecemos:
— Horarios flexibles
— Trabajo remoto por proyecto
— USD $6 por hora de contenido aprobado
— Bono adicional por la primera hora aprobada
Requisitos:
— iPhone 12 o superior, Google Pixel 6+ o Samsung Galaxy S21+ o superior
— Acceso a internet
— Nivel básico de inglés para registrarte y utilizar la plataforma
No se requiere experiencia previa.
About Magic Eden and Dicey
Magic Eden reached unicorn status in just 9 months after launch, one of the fastest in history. They built a category-defining NFT marketplace from scratch and are now developing Dicey, a crypto casino and sportsbook platform targeting the $180B+ iGaming and sports betting markets. The team is small and fully remote, focusing on fast shipping, data-driven decisions, and rebuilding growth operations around AI.
The role
The position focuses on personalized retention in the iGaming industry, owning the full post-signup journey. Responsibilities include expanding the player segmentation framework, designing and running targeted offers and campaigns, and managing the associated P&L lever. The role is explicitly AI-native, involving building workflows, agents, and pipelines to run lifecycle campaigns efficiently. Half the job is problem identification, the other half is running experiments to find solutions.
What you'll do
— Own retention and monetization as a growth loop, setting targets, finding leverage, and driving post-signup metrics
— Own and evolve the player segmentation framework, deciding signals and company usage
— Build the AI-native growth stack including analysis, agents, and automated pipelines for segment surfacing, offer generation, and campaign execution
— Design and ship targeted offers such as reload bonuses, lossback, wager bounties, challenges, and win-back sequences; size, specify, ship, and measure them
— Analyze data warehouse and on-chain data to find patterns and create campaigns proactively
— Expand player signals including on-chain activity, status-match programs, social account linking, and others
— Run campaigns across channels like email, in-app, Telegram, with AI handling heavy lifting
— Collaborate with engineering and design to create product surfaces that enable repeatable processes
What they're looking for
— Strong intuition for player psychology and incentive design; experience in gambling, gaming, fintech, or consumer marketplaces is helpful
— Deep analytical skills, able to independently perform cohort analyses without waiting for data scientists
— AI-native mindset, already using AI to write queries, build analyses, and automate work, with desire to advance further
— High output with good judgment, generating many ideas and prioritizing tests effectively
— Bias to do it yourself, comfortable executing emails, queries, and specs personally
— Comfortable with ambiguity and building new playbooks
Backgrounds that tend to fit
— Growth PM at data-heavy consumer companies
— MBB consultants transitioning to product ownership
— Product-minded data scientists or analysts focused on shipping rather than reporting
Why this is interesting
— Competitive, top-of-market compensation
— Defining the role of a growth PM in an AI-native company without existing playbooks
— Early involvement in personalized retention, a key industry trend
— Real ownership of segmentation framework, product surface, and P&L lever with direct access to founders
Задачи:
- Развивать ядро матчинга: retrieval кандидатов по текстовым, картиночным и мультимодальным эмбеддингам, обучать модели классификации пар, работать с атрибутами товаров
- Улучшать NLP-часть пайплайна с учетом специфики оптовых товаров: обработка названий, извлечение атрибутов из описаний, дообучение эмбеддинг-моделей
- Доводить решения до прода и отвечать за них
Требования:
- Сильное понимание NLP: трансформерные модели, эмбеддинги, векторный поиск, опыт дообучения моделей под свою задачу
- Опыт в задачах матчинга
- Опыт в Data Science и ML Engineering с выводом моделей в продакшен от 3-х лет
- Уверенные знания Python, ML-стека, SQL
- Умение выбирать решение под задачу: не использовать нейросеть там, где достаточно эвристики, и наоборот
- Опыт с CV и мультимодальными моделями (CLIP-подобные, metric learning), LLM/VLM в задачах классификации/ранжирования будет плюсом
Databricks, an American IT firm specializing in a unified cloud platform for big data and AI, is seeking Forward Deployed Engineers in Amsterdam and Senior Forward Deployed Engineers in Stockholm. Candidates should have experience with Python, Scala, JavaScript or TypeScript, Apache Spark, and cloud platforms such as AWS, Azure, or GCP. Familiarity with CI/CD pipelines, MLOps, machine learning and AI models, as well as AI APIs, is required. These positions are on-site roles.
Задачи:
— Закрытие инфраструктуры, CI/CD, Kubernetes, мониторинг, секреты и автоматизация.
— Настройка и оптимизация CI/CD в GitLab CI.
— Внедрение и поддержка Kubernetes.
— Настройка мониторинга с Prometheus, Grafana, Loki, Alertmanager.
— Автоматизация инфраструктуры с использованием Terraform и Ansible.
— Управление секретами и доступами через HashiCorp Vault.
— Работа с базами данных PostgreSQL и mongoDB, включая HA и backup/restore.
— Обеспечение безопасности: RBAC, NetworkPolicy, Pod Security.
— Работа с инфраструктурой в Yandex Cloud и proxmox.
Практический опыт:
— Работа с нейронными сетями для трекинга лиц на Tesla T4.
— Создание админки для управления терминалами.
— Разработка MVP моделей новых систем.
— Настройка локальной инфраструктуры в ЦОДе компании.
— Участие в разработке инфраструктуры новых продуктов.
— Выполнение функций SRE на проектах во время мероприятий.
— Внедрение CDN и Kubernetes, настройка инфраструктуры с возможностью отключения интернета, сокращение времени релизов на 20%.
— Настройка Terraform-инфраструктуры в Yandex Cloud и proxmox, автоматизация кластеров, сети, DNS, балансировщиков и IAM.
— Внедрение Prometheus, Grafana, Loki, Alertmanager и blackbox, сокращение времени обнаружения инцидентов до 3 минут.
— Оптимизация GitLab CI: добавление кэширования, параллельных джобов, встроенное SAST/DAST-сканирование образов, сокращение времени сборки с 10 до 3-5 минут.
— Внедрение агента для поиска уязвимостей.
— Внедрение HashiCorp Vault с настройкой Kubernetes auth, AppRole и доставки секретов через Agent Injector.
— Опыт работы с big data объемом около 20 ТБ.
Требования:
— Опыт работы DevOps-инженером от 3 лет.
— Знание и опыт работы с Linux, Docker, Kubernetes, GitLab CI, Terraform, Ansible, Vault, Prometheus, Grafana, Loki, Alertmanager.
— Опыт работы с PostgreSQL, Yandex Cloud.
— Навыки автоматизации и обеспечения безопасности инфраструктуры.
Условия:
— Формат работы: удалённо или гибрид.
— Занятость: full-time или part-time.
— Оформление обсуждаемо.
— Ожидаемая зарплата: 200000 рублей в месяц.
В рамках данной позиции необходимо разрабатывать и внедрять механизмы изоляции и контроля для агентных систем, включая создание песочниц для выполнения инструментов, строгую изоляцию контуров, установку лимитов на действия и реализацию функции аварийного отключения агентов. В задачи входит настройка детального аудита логов действий агентов в продакшене, а также разработка и настройка системы мониторинга аномального поведения с оповещениями о подозрительных паттернах. Требуется проводить моделирование угроз и threat modeling для новых сценариев агентов на этапе проектирования, а также разрабатывать архитектурные решения и фильтры для защиты от атак на LLM, таких как prompt injection, data exfiltration и jailbreak, включая внедрение строгой валидации выходных данных агентов. Необходимо организовывать и проводить атаки на собственные агентные системы для выявления уязвимостей до их эксплуатации злоумышленниками, а также проводить аудит безопасности агентных пайплайнов от команды LLM-инженеров до продакшен-выкатки. Контроль исходящих данных включает обеспечение соблюдения политик по использованию данных и инвентаризацию всех потоков информации, направляемой во внешние LLM-провайдеры. Важной частью работы является настройка IAM и управление секретами, проектирование и внедрение ролевой модели доступа для агентов, определение прав доступа и безопасное хранение с ротацией секретов. Также требуется опыт использования сканеров исходного кода (SAST/DAST), включая подбор, пилотирование, установку, администрирование и интеграцию в CI/CD-конвейер, а также помощь разработчикам в расшифровке результатов и устранении уязвимостей. Кандидат должен уверенно владеть Python, иметь глубокие знания Docker и Linux, а также понимание принципов работы CI/CD. Необходим практический опыт threat modeling, работа с системами управления секретами (например, HashiCorp Vault), внедрение IAM-моделей, настройка песочниц и изолированных окружений. Важно понимание работы LLM и агентных систем, опыт с фреймворками LangChain, LangGraph, MCP и знание принципов Claude Code. Кандидат должен быть готов не только проводить ревью кода, но и самостоятельно проектировать и создавать безопасных агентов.
О компании и команде
AGIMA — крупнейший интегратор digital-решений в России с одной из сильнейших команд разработки. С 2006 года выпущено более 700 крупных проектов. Среди заказчиков X5 Retail Group, МегаФон, АльфаСтрахование, Леруа Мерлен, MARS, O’Stin, Спортмастер, М.Видео и другие.
Принципы работы:
- В любой коммуникации люди на первом месте.
- Регламенты должны помогать, а не ограничивать.
- Жесткая субординация — не про нас.
- Играем на стороне клиента.
Ищем Senior Project manager в команду, занимающуюся оптимизацией промо-активностей и развитием модуля прогнозирования.
Ожидания от кандидата:
- 3–5 лет управления крупными ИТ-проектами от инициации до промышленной эксплуатации; уверенное владение классическими и гибкими методологиями.
- Практический опыт внедрения или глубокое понимание pricing / promo / revenue management.
- Понимание ML- и аналитических решений: постановка задач data science-команде, контроль качества моделей (MAPE, bias), понимание цикла разработки ML.
- Опыт внедрения решений в корпоративный ландшафт: DWH, ERP, витрины данных, API-шлюзы; понимание ETL/ELT, витрин промо-историй и мастер-данных товаров/магазинов.
- Опыт работы с топ-менеджментом и бизнес-заказчиками, умение объяснять технические ограничения моделей на языке бизнеса.
Условия работы:
- Работа в аккредитованной IT-компании.
- Двухэтажный лофт в центре Москвы с собственным баром: 10 минут пешком от метро.
- Удалёнка.
- Гибридное посещение: вместе решим, когда из дома, а когда из офиса.
- График 5/2 с 10 до 19 часов, с возможностью подстроить часы работы.
Бонусы:
- Крупные заказчики, интересные кейсы, нетривиальные задачи.
- Профильные конференции: оплатим дорогу и участие.
- Бесплатные билеты на ежегодный забег для ИТ-специалистов RUNIT.
- Обучение по профильным направлениям: собственные курсы для UX-дизайнеров, тимлидов, проджект-менеджеров и т. д.
- Вечеринки и атмосфера: офисные и выездные мероприятия, ежегодный AGIMA camp.
Neoai IT Center izlayapti mutaxassislarni bir nechta yo'nalishlarda: backend dasturlash (python, Django, Fastapi, Node.js, Express.js, Java, Spring Boot, PHP, Laravel, Rest API, Postgresql, Mysql, Mongodb, Git, Docker), frontend (HTML, CSS, JavaScript, TypeScript, React, Next.js, Vue.js, Angular, Tailwind CSS, Bootstrap, Git), mobil dasturlash (Dart, Flutter, Kotlin, Java, Swift, React Native, Firebase, Android Studio, Xcode, Git), UX/UI dizayn (Figma, Adobe XD, Photoshop, Illustrator, Figjam, UI Design, UX Research, Wireframing, Prototyping, Design System), kiberxavfsizlik (Linux, Python, Bash, Networking, TCP/IP, Wireshark, Nmap, Burp Suite, Metasploit, OWASP, Git, Docker), data science (Python, Numpy, Pandas, Matplotlib, Seaborn, Scikit-learn, TensorFlow, PyTorch, SQL, Jupyter Notebook, Git), data analitika (Python, Pandas, Numpy, SQL, Excel, Power BI, Tableau, Matplotlib, Seaborn, Jupyter Notebook), sun'iy intellekt (Python, PyTorch, TensorFlow, Keras, Scikit-learn, Hugging Face, OpenAI API, Langchain, Numpy, Pandas, Git, Docker), robototexnika (Python, C++, Arduino, ESP32, Raspberry Pi, ROS, Matlab, Arduino IDE, OpenCV, Sensors, Git). Ish joyi Toshkent shahrida, ish vaqti 3 soat, maosh 4-5 million so'm. Vazifalar: o'quvchilarga zamonaviy IT texnologiyalarini nazariya va amaliyot asosida o'rgatish, darslarni amaliy loyihalar va real vazifalar bilan tashkil etish, o'quvchilar bilan individual ishlash va ularning rivojlanishini kuzatib borish, dars materiallari va amaliy topshiriqlar tayyorlash. Nomzodlar mas'uliyatli, kommunikativ bo'lishi, o'z yo'nalishi bo'yicha amaliy tajribaga ega bo'lishi, yangi texnologiyalarni muntazam o'rganib borishi talab etiladi. Shuningdek, tajribali mutaxassislar bilan birga professional muhitda rivojlanish imkoniyati mavjud.
EBANX is building a Talent Pool for a future Business Development Specialist role based in the UK to support global expansion by acquiring new business and forming strategic partnerships in key regions. The role focuses on engaging with enterprise merchants, driving growth through centralized management and scalable solutions, onboarding new customers, strengthening relationships, and reinforcing presence among digital clients. Responsibilities include identifying, developing, and closing new business opportunities; building and executing strategic plans to penetrate new verticals, regions, and customer segments; generating leads, conducting market research, and establishing relationships with key stakeholders; driving adoption of payment solutions; collaborating with GTM, product, marketing, merchant success, risk, legal, and finance teams; negotiating contracts, pricing, and service agreements; tracking pipeline progression and performance metrics within Salesforce.com; providing market insights and feedback to leadership; staying ahead of industry trends and competitor movements; and representing the company professionally.
Requirements include proven experience in business development/strategic sales with global enterprise accounts in the Payments Industry; a proven track record of meeting and exceeding business goals; deep knowledge of the merchant payment ecosystem, market trends, and customer pain points; exceptional verbal and written communication skills; English language proficiency; ability to generate pipeline and accelerate deals; analytical mindset; experience using Salesforce CRM and HubSpot; hands-on experience with modern lead generation tools including AI-powered prospecting platforms (Apollo, Cognism, Clay, LinkedIn Sales Navigator with AI plug-ins); ability to translate CRM and data insights into actionable strategies; hunter mentality; track record of exceeding new logo acquisition targets; self-starter with proactive mindset; excellent communication, presentation, persuasion, planning, organization, prioritization, and time management skills; valid passport and willingness to travel up to 50% of the time.
EBANX offers a challenging environment with growth opportunities; language classes (Spanish, English, Portuguese); WAVES bonus program; budgets for education and skills development; flexible birthday day off; health and dental insurance with subsidies; and psychological, financial, and legal orientation.
What We Do:
Cybercrime is growing, and more businesses are getting hit by threats that used to target only the biggest organizations. That pushes defenders like us to operate at the highest level, and it deepens our need for good people who want to make a meaningful impact.
Founded in 2015 by former NSA cyber operators, Huntress is a remote-first team working to make enterprise-grade cybersecurity accessible to businesses of all sizes. We work closely with security teams and service providers protecting complex environments, often without the time or headcount to handle it all. That’s why we build our technology in-house and back it with a 24/7 human-led Security Operations Center (SOC). As a result, our platform is never disconnected from the experts who manage it, ensuring our customers' protection.
Huntress now secures more than 5M endpoints and 11M identities worldwide. Those numbers keep growing because more businesses rely on us to help carry the load and operate with more confidence. Every day, you can see that commitment in how we stand with our customers and how we show up for each other.
What You'll Do:
In this role, you will turn targeted outreach into qualified conversations with security and IT decision-makers. You will build trust with internal IT teams and channel partners by asking clear questions, following up honestly, and learning what matters to each prospect.
You will bring Warrior Spirit to a quota-driven role by staying resilient through changing priorities and the daily work of building pipeline. You will Give a $h*t about the details that move opportunities forward, from thoughtful outreach and timely follow-up to accurate CRM data and a clear understanding of how Huntress helps customers and partners stay protected.
Responsibilities:
Prospect internal IT departments with 50 to 3,000 employees through phone, email, and LinkedIn.
Establish trust and rapport with channel partners through phone, email, and LinkedIn while learning about their solutions, team composition, territories, and ideal customer profile.
Work collaboratively with the team to create outbound prospecting strategies for channel partners and mid-market internal IT departments.
Develop and manage contact and opportunity pipelines, ensuring timely follow-up on both.
Work closely with the Account Executive team to set demos, assist with closing deals, and build a passionate understanding of Huntress products, our human-led SOC, monthly educational webinars, and competitor offerings.
Meet and exceed monthly, quarterly, and annual sales quotas while maintaining accurate prospect and opportunity data in Salesforce and documenting all interactions.
Explore practical AI tools to support prospect research, outreach preparation, account prioritization, and follow-up while applying sound judgment to the work.
What You Bring to the Team:
You have 1+ year of outbound calling experience, preferably in cybersecurity, technology, or SaaS solutions, with a proven track record of success.
You have knowledge of cybersecurity solutions, including endpoint security.
You communicate clearly and effectively in both written and verbal conversations.
You can work independently and stay organized in a remote environment.
You have experience using Salesforce and sales engagement tools such as LinkedIn, Outreach, and Sales Navigator.
Familiarity with the VAR and reseller community is a bonus.
You are excited to explore AI and use it to work faster and smarter, with good judgment about when and how to apply it.
What We Offer:
100% remote work environment - since our founding in 2015
Generous paid time off policy, including vacation, sick time, and paid holidays
12 weeks of paid parental leave
Highly competitive and comprehensive medical, dental, and vision benefits plans
401(k) with a 5% contribution regardless of employee contribution
Life and Disability insurance plans
Stock options for all full-time employees
One-time $500 reimbursement for building/upgrading home office
Annual allowance for education and professional development assistance
$75 USD/month digital reimbursement
Access to the BetterUp platform for coaching, personal, and professional growth
Huntress is committed to creating a culture of inclusivity where every single member of our team is valued, has a voice, and is empowered to come to work every day just as they are.
We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, disability, veteran status, genetic information, marital status, or any other legally protected status.
We do discriminate against hackers who try to exploit businesses of all sizes.
Accommodations:
If you require reasonable accommodation to complete this application, interview, or pre-employment testing or participate in the employee selection process, please direct your inquiries to accommodations@huntresslabs.com. Please note that non-accommodation requests to this inbox will not receive a response.
Huntress uses artificial intelligence tools to assist in reviewing and evaluating job applications, including resume screening, skills assessment, and candidate matching and comparisons. These AI tools support our human recruiters in the initial review process, but do not make final hiring decisions without human involvement. By submitting your application, you acknowledge this use of AI in our recruitment process. Please review our Candidate Privacy Notice for more details on our practices and your data privacy rights.
Удалённо
Зарплата не указана
Удалённо
Зарплата не указана
Удалённо
250 000 – 300 000 $
Удалённоsenior
Зарплата не указана
Удалённоmiddle
58 500 – 78 000 $
Все вакансии в одном месте — страница 24 · Job Hunters