Вакансии

Ищу к себе в команду крепкого Руководителя IT-проектов. - Вы реально тащили IT-проекты и умеете работать по гибким методологиям не для галочки.

Location: Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. As a Manager, Customer Success , you will lead a North America-based team that helps customers realize value from GitLab through strong adoption, measurable outcomes, and trusted partnership. You will partner closely with both executive sponsors and day-to-day end users/practitioners to drive adoption and measurable outcomes. Reporting to the Director of Customer Success, , you will coach Customer Success Managers and Customer Success Architects to support account health across onboarding, adoption stages, executive business reviews, and renewals, while also improving how the team works. This is a people leadership role with broad scope: you will develop talent, strengthen customer relationships, and partner across Sales, Product, Engineering, and other teams so customers are supported through growth, change, and escalation. What you'll do Lead a team of Customer Success Managers and Customer Success Architects focused on customer adoption, account health, customer satisfaction, and advocacy. Coach team members through regular feedback, development support, and career growth conversations to strengthen knowledge, communication, and execution. Partner with the Director of Customer Success to define team goals, clarify responsibilities, and align priorities with company direction. Manage resource assignments, staffing levels, and hiring activity to support team coverage and customer needs. Develop senior-level relationships with customers and support the team in building trusted advisor partnerships. Collaborate with Sales, Product Management, Engineering, Professional Services, and other internal teams to create a consistent customer experience. Support customers during escalations by working with other leaders to coordinate clear, effective responses. Improve the processes and tools used by the team and oversee initiatives tied to objectives and key results. What you'll bring Experience leading customer-facing teams in software, technology, consulting, sales, or customer success environments. Ability to guide teams that drive software adoption and manage customer relationships across onboarding, adoption, business reviews, and renewals. Knowledge of software development lifecycle practices, related tools, and agile or DevOps ways of working. Familiarity with cloud or container technologies such as Kubernetes and Docker, application security concepts such as static application security testing (SAST) and dynamic application security testing (DAST), or cloud platforms such as Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure. Skill in translating strategy into clear initiatives, coordinating execution, and tracking delivery across competing priorities. Capability to lead distributed teams across regions, cultures, and lines of business, while working effectively with senior executives and external stakeholders. Willingness to travel occasionally for customer meetings and team events, as needed. Strength in communication, coaching, feedback, delegation, planning, and process improvement. Warmth and care in your leadership approach—able to coach with empathy and build trust on a human level. Interest in candidates with transferable experience who can connect technical concepts to business value and collaborate well across functions. About the team On the Customer Success team, we are accountable for customer adoption, measurable outcomes, customer satisfaction, and building customer advocacy across GitLab. We also act as a key connection point between customers and the broader GitLab ecosystem, helping streamline collaboration with Product Management, Engineering, Sales, Professional Services, and other partners. In this role, you will manage a team in North America while collaborating asynchronously with stakeholders across regions, with a focus on helping customers succeed at scale and improving how the organization supports them. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $124,800 — $210,600 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Задачи: — Поддержка и развитие функциональности личных кабинетов по услугам: услуга ОФД (передача данных о чеках в ФНС), Ferma (облачная касса), Renta (сервис для ТРЦ сбора и аналитики данных с касс о выручке арендаторов), ЭДО.Поток (сервис электронного документооборота), электронные чеки (логика, биллинг и визуализация статистики отправок электронных чеков покупателям), маркировка (передача данных о маркированных товарах в ЦРПТ через ОФД и ЭДО), QR Cash (API сервис для проверки чеков), запуск и развитие новых продуктов. — Выступать в роли продуктового менеджера в зоне поставленных задач: управление полным циклом разработки функциональности, включая подготовку технических заданий на разработку и дизайн, защиту решений, приемку разработки, анализ обратной связи от клиентов. — Предлагать улучшения по существующей функциональности и реализовывать новую. — Операционная поддержка существующих продуктов. — Сбор и анализ необходимых данных для эффективной реализации новой функциональности с учетом требований законодательства, отсутствия конфликтов с другими ИТ-продуктами, анализа конкурентов и изучения внутренней документации. — Возможность с ростом экспертизы получить ответственность за весь ИТ-продукт. Требования: — Опыт написания технических заданий на разработку с детальной проработкой бизнес-логики. — Умение общаться на языке, понятном разработчику, и понимание различий между frontend и backend. — Знание концепций agile-разработки. — Опыт управления проектами. — Понимание API-документации и написание технических заданий для API методов. — Владение Excel. — Знание лучших практик реализации интерфейсов. — Понимание принципов и процессов проектирования продукта. — Ведение проектов в гибкой методологии разработки. Ключевые личностные качества: — Умение аргументированно отстаивать свою точку зрения. — Легкое отношение к критике. — Настойчивость. — Гибкость в условиях меняющихся процессов. Условия: — График работы 5/2 с гибким началом дня. — Комфортный офис в современном бизнес-центре, 5 минут от станции метро Тульская. — Трудоустройство по ТК РФ. — Дополнительные опции аккредитованной IT-компании. — Возможность профессионального развития. — ДМС после прохождения испытательного срока. — Свободный дресс-код, лаунж-зона, отдельная кухня, чай и кофе в офисе.

Задачи: — Проводить консультации с бизнес-заказчиками для составления корректного технического задания для моделей машинного обучения — Самостоятельно изучать данные в DWH (внутреннее хранилище данных) с помощью написания скриптов для построения модели — Искать релевантные данные для модели вне DWH, инициировать процесс загрузки данных и написания витрин — Поэтапно разрабатывать модели включая, но не ограничиваясь: анализ временных рядов, кластеризация, категоризация — Консультировать бизнес для составления корректного дизайна пилотного проекта — Вести документацию по проектам в зоне ответственности – наполнять wiki по проектам Требования: — Высшее образование: вычислительная математика и кибернетика, прикладная математика, информатика, программирование — Опыт работы от 2х лет в качестве Data Scientist / в разработке решений в области обработки и анализа данных, статистики в сфере FMCG, Retail или Pharma — Глубокие знания в области технологий сбора, хранения и обработки данных (DataLake, DWH, DataLake house, Data Mesh и др.) — Опыт работы с СУБД (предпочтительно MS SQL, Oracle, GreenPlum) — Опыт организации процессов работы с данными из различных источников (СУБД, логи, сторонние системы и т.д.) — Продвинутый уровень владения / опыт работы с Python для анализа/обработки данных — Продвинутый уровень владения / опыт работы с SQL (аналитические функции, подзапросы, хранимые процедуры, оптимизация запросов) — Опыт сбора, анализа и формализация бизнес-требований заказчика — Опыт командной работы с использованием MS DevOps и Agile инструментов — Проактивная позиция, самостоятельность, ответственность — Способность эффективно работать в гибкой изменяющейся среде и управлять одновременно несколькими видами деятельности и приоритетами — Английский на уровне чтения технической документации Условия: — Высокий совокупный доход, ежегодный пересмотр заработной платы и годовой бонус по итогам работы и бизнес-результатов компании — Гибридный график работы, возможность работать в удобном формате — из современного офиса в Москва-Сити или из дома — Для обустройства комфортного рабочего места дома – бонус 39 000 рублей (до вычета НДФЛ) на старте в компании — Офис в Москва-Сити с релакс комнатами с массажными креслами, капсулами для сна, йогой, игровой с настольными играми, бильярдом и другими активностями — ДМС со стоматологией и аптечным обслуживанием на 10 000 рублей в год, чекапами и помощью по всей стране — Компенсация 50% стоимости ДМС для супруга(-и) и детей — Страхование жизни от несчастных случаев и критических заболеваний — Возможность участвовать в накопительной программе, которая помогает создать финансовый резерв на будущее — JTI из своих средств перечисляет 4% от оклада на пенсионный счет, а также удваивает ваши добровольные взносы в рамках 4%, увеличивая накопления — Гибкая система льгот, позволяющая самостоятельно выбирать подходящие программы и перераспределять бюджет на такие услуги, как спорт, здоровье, путешествия, обучение и многое другое — Возможность обращаться за психологической, юридической, финансовой консультацией к внешним экспертам в рамках программы поддержки сотрудников — Разные форматы, чтобы объединяться и быть в курсе всего, что происходит в компании: выезды на стратегические сессии в другие города и страны, тимбилдинги, бизнес-завтраки, внутренние конференции, музыкальные квартирники, стендапы, дни ментального здоровья и другие офисные активности — Корпоративный спорт — сейчас в JTI по всей стране 36 разных команд по волейболу, хоккею, футболу, теннису и другим видам спорта.

Задачи: — Организация рабочего графика Директора Филиала, планирование и координация встреч, совещаний, деловых поездок и иных рабочих мероприятий. — Координация внутренних и внешних коммуникаций Директора Филиала, подготовка необходимых материалов, справок, презентаций, отчетов и аналитической информации. — Контроль исполнения поручений Директора Филиала, сроков выполнения задач и предоставления обратной связи ответственными работниками. — Организационное сопровождение деятельности Филиала, включая координацию взаимодействия между структурными подразделениями, офисами и ответственными работниками. — Ведение, актуализация и контроль рабочих календарей, планов, задач и ключевых мероприятий Филиала. — Организация и проведение Agile-церемоний, включая Daily Scrum, Sprint Planning, Sprint Review и Sprint Retrospective. — Организация и координация PI-планирования, Town Hall, внутренних ревью, стратегических и рабочих сессий. — Содействие работникам Филиала в применении Agile-подходов, планировании задач, определении приоритетов и контроле исполнения. — Мониторинг статуса задач, выявление рисков, блокирующих факторов и отклонений от сроков, а также подготовка предложений по их устранению. — Сбор, структурирование и анализ информации по KPI, проектам, программам и текущим задачам Филиала. — Подготовка аналитических и управленческих материалов для Директора Филиала, включая отчеты, презентации, сводки и статус-апдейты. — Координация подготовки материалов к совещаниям, отчетным мероприятиям, презентациям, командировкам, форумам, конференциям и иным мероприятиям Филиала. — Организация и сопровождение служебных командировок Директора Филиала и работников, включая подготовку необходимых документов, бронирований и координацию организационных вопросов. — Координация документооборота в рамках деятельности Директора Филиала, включая контроль согласования, подписания и исполнения документов. — Выполнение иных поручений Директора Филиала в рамках деятельности Филиала. Требования: — Высшее и/или послевузовское образование. — Знание казахского и английского (B1) языков. — Опыт работы от 3 лет в сфере менеджмента, юриспруденции, экономики или управления проектами. — Глубокое понимание и практическое применение Agile-подходов и фреймворков. — Владение Documentolog, Notion, MS Office. — Сильные аналитические, коммуникационные и организационные навыки. — AI-native mindset: уверенное применение AI-инструментов для автоматизации процессов и повышения эффективности работы. Условия: — Уровень заработной платы обсуждается по итогам успешного прохождения этапов отбора и зависит от вашей квалификации. — График работы с 09.00 до 18.00, 5/2. — Работа в инновационной среде с возможностью профессионального роста. — Возможность взаимодействия с международными экспертами и организациями. — Удобный и комфортабельный офис. — Премирование в размере до 2 окладов за полугодие при достижении показателей KPI. — Медицинская страховка для сотрудника и 2 членов семьи, премии к праздникам (после прохождения испытательного срока). — Трудовой оплачиваемый отпуск 30 календарных дней. — Материальная помощь к личным событиям сотрудника (при предоставлении документов).

Location: Rome, Italy Are you ready to grow with the world’s largest law firm? Join Dentons Italy Team today. For our Tax Team in Rome, we are searching for talented and highly motivated recent graduates in Law. Dentons offers a diverse range of activities in a dynamic work environment, practice-oriented training in an international context and the opportunity to gain 360 degree work experience. Dentons is not only the largest law firm in the world, providing quality and value to clients, but it is also a world-class firm of high profile professionals. Dentons is a leader in the Acritas Global Elite Brand Index, winner of the BTI Client Service 30 Award and recognized by leading business and legal publications for its innovations in client service, including the founding of Nextlaw Labs and the Nextlaw Global Referral Network. Dentons' polycentric approach and talents challenge the status quo to promote client interests. We are always looking for the best professionals. Our DNA is made up of talent, innovation and passion. Requirements Italian Law Degree achieved within the last 6 months the latest and with a minimum score of 105/110. You have had an experience abroad (e.g.: Erasmus). High legal knowledge. High level of English (Certificate C1). We also rate positively other foreign languages. Vocation and motivation for practicing the legal profession. Global mindset. You are able to adapt to an international environment and eager to grow both professionally and personally with us. Proficient use of Microsoft Office and familiarity with IT tools. Benefits • Enrollment in the firm's training plan. • Competitive remuneration. • A clearly structured career path. • You will have access to Daisy, Dentons' proprietary AI tool. • You will work closely with professionals who are recognized among the best in their areas of practice, in an international and stimulating working environment. • We offer half a year of permanence in the firm (6 months of internship). After this period of internship, you could be confirmed as a Trainee and have access to the following benefits: - Welfare program. - Personal Budget for Training. - Agile Working (as per internal policy). - Opportunity to perform pro bono legal assistance. - Involvement in corporate events (e.g. annual Fee Earners Retreat). About us Across over 80 countries, Dentons helps you grow, protect, operate and finance your organization by providing uniquely global and deeply local legal solutions. Polycentric, purpose-driven and committed to inclusion, diversity, equity and sustainability, we focus on what matters most to you. www.dentons.com Diversity & Inclusion Essential to our success as a global law firm is our ability to attract and retain the best talent from a diverse range of backgrounds. We want a work environment where everyone can reach their potential and we have an inclusive culture, which respects individual differences. We undertake and support a number of internal and external initiatives aimed at increasing diversity within the profession and we encourage all our partners and staff to get involved. We welcome you to learn more about diversity and inclusion at Dentons.

Location: Milan, Italy Are you ready to grow with the world’s largest law firm? Join Dentons Italy Team today. For our Tax Team in Milan, we are searching for talented and highly motivated recent graduates in Law or Economics. Dentons offers a diverse range of activities in a dynamic work environment, practice-oriented training in an international context and the opportunity to gain 360 degree work experience. Dentons is not only the largest law firm in the world, providing quality and value to clients, but it is also a world-class firm of high profile professionals. Dentons is a leader in the Acritas Global Elite Brand Index, winner of the BTI Client Service 30 Award and recognized by leading business and legal publications for its innovations in client service, including the founding of Nextlaw Labs and the Nextlaw Global Referral Network. Dentons' polycentric approach and talents challenge the status quo to promote client interests. We are always looking for the best professionals. Our DNA is made up of talent, innovation and passion. Requirements Italian Law or Economics Degree achieved within the last 6 months the latest and with a minimum score of 105/110. You have had an experience abroad (e.g.: Erasmus). High legal knowledge. High level of English (Certificate C1). Other foreign languages are a plus. Vocation and motivation for practicing the legal profession. Global mindset. You are able to adapt to an international environment and eager to grow both professionally and personally with us. Proficient use of Microsoft Office and familiarity with IT tools. Benefits Enrollment in the firm's training plan. Competitive remuneration. A clearly structured career path. You will have access to Daisy, Dentons' proprietary AI tool. You will work closely with professionals who are recognized among the best in their areas of practice, in an international and stimulating working environment. We offer half a year of permanence in the firm (6 months of internship). After this period of internship, you could be confirmed as a Trainee and have access to the following benefits: - Welfare program. - Personal Budget for Training. - Agile Working (as per internal policy). - Opportunity to perform pro bono legal assistance. - Involvement in corporate events (e.g. annual Fee Earners Retreat). About us Across over 80 countries, Dentons helps you grow, protect, operate and finance your organization by providing uniquely global and deeply local legal solutions. Polycentric, purpose-driven and committed to inclusion, diversity, equity and sustainability, we focus on what matters most to you. www.dentons.com

Location: Montevideo, Uruguay; Remote.AR, Remote.LATAM-country; Remote.CO, Colombia; Rosario, Remote.LATAM-country We are looking for a hands on Middle MLE Infrastructure Engineer to strengthen a shared Data and AI platform. You will focus on execution across CI/CD standards, cloud resource management, identity and access security, observability, and reliable deployments that support other teams. The Shared Services Platform organization builds and operates the core environment for Data and AI products. You will work on a platform that standardizes CI/CD, security, observability, and cloud resource management so product squads can deliver on reliable infrastructure. Define and maintain homogeneous CI CD standards and pipelines for data and AI across teams. Manage cloud resources, capacity, and cost through provisioning, autoscaling, and optimization. Own identity and access management and centralized credential governance. Automate security policies through infrastructure as code and SecOps practices. Run vulnerability scanning and incident response playbooks. Build observability through metrics, dashboards, and proactive alerting for platform and products. Ensure reliable versioning and deployment standards across the platform. Act as a platform enabler for product squads on environment and product infrastructure. Proven experience as a Platform Engineer, DevOps Engineer, or MLOps Infrastructure Engineer. Experience with infrastructure as code using Terraform and configuration automation. Experience with Docker, Kubernetes, and autoscaling. Experience with CI CD tooling such as GitHub Actions and GitLab CI. Experience with Git workflows including GitFlow. Experience with Google Cloud Platform resource management, GCP IAM, billing, and cost control. Experience with observability tools such as Prometheus, Grafana, Datadog, or similar monitoring solutions. Experience with IAM, vulnerability scanning, data masking, and policy management. Ability to communicate effectively with technical and non technical stakeholders. Experience working in Agile environments. Fluency in Spanish. Exposure to MLOps platforms, model registry, and model serving infrastructure. Experience with FastAPI or Flask. Familiarity with BigQuery, pipelines, and lakehouse or warehouse environments. Familiarity with GenAI tooling such as LangChain and Agents.

Location: Ukraine; Poland; Romania; Spain; Portugal; Croatia At SPD Technology, we bring together a team of like-minded people who are driven by the desire to bring value through their work, united in their commitment to high performance and delivering custom, cutting-edge tech solutions that drive clients’ growth. We empower our people with a culture of excellence and enable them with the opportunity to uphold their accountability to contribute on each level. We value humanity and collaboration, encourage professional and personal growth, and foster a supportive and flexible work environment where everyone’s contribution is welcomed. We are looking for a Senior ML & AI Engineer to join us as part of our team. About the role PitchBook’s Machine Learning Engineer is responsible for using machine learning, statistical modeling, and natural language processing (NLP) to collect a high-volume of data for the PitchBook Platform and surface insights for the capital markets. This role will also serve as a resource and mentor for junior members of the team. A strong motivation to succeed is critical and everyone has the opportunity to shape the long-term direction of our team. About the project PitchBook — a platform for investment professionals. Our software provides access to data and the analytical tools to get answers fast and discover promising opportunities. Uncovers actionable insights and trends hidden within the financial data of more than three million companies. Users all over the world include large corporations, start-ups, venture capital and private equity firms, investment banks, and many others. Features of PitchBook: Advanced search / Discovery & insights / Company profiles / Workflow & efficiency / Financials and many more. Team 1 EM, 6 ML Engineers Work Environment The role offers a flexible work schedule, allowing you to adapt your working hours with the requirement to attend all team meetings. The team follows a Scrum-based Agile methodology. As a qualified expert, You will Work with GenAI & LLMs: Design, develop, and fine-tune generative AI models using transformer architectures. Implement advanced techniques to create practical solutions for real-world challenges. Use Modern Toolkits: Leverage frameworks like LangChain, LangGraph, and LangSmith to build automated pipelines and intelligent agents. Integrate these tools with vector databases for efficient similarity search and real-time analysis. Extract Data Insights: Process and analyze large volumes of unstructured data using embeddings and statistical modeling to identify meaningful insights. Build Scalable Systems: Collaborate with cross-functional teams to create production-grade ML systems that handle real-time, high-volume data processing. Mentor & Lead: Act as a mentor for junior team members and stay updated on trends in Agentic AI, transformer models, and generative systems. Collaborate & Communicate : Work with Product and Engineering teams to improve data management and support innovation. Present complex analyses clearly and effectively. Tech Stack & Focus Areas: Work with generative AI and transformer models, integrating frameworks like LangChain, LangGraph, and LangSmith to automate workflows and build intelligent systems. Use PyTorch, Scikit-Learn, and Spacy to build NLP pipelines. Implement vector databases for high-dimensional data embeddings and develop hybrid models to extract insights from diverse data sources. We’re looking for you if you have Educational Background: You hold a Bachelor’s or Master’s degree in Computer Science, Machine Learning, Statistics, or a related field. Experience: You bring 5+ years of production experience in the ML field, with a track record in developing transformer-based models and deploying them in scalable systems. Technical Expertise: Proficient in Python and machine and deep learning frameworks like TensorFlow, PyTorch, ScikitLearn, Spacy or other. Experienced in natural language processing and modern LLM based techniques. Experience with full ML lifecycle, data preprocessing, training, evaluation stages and monitoring techniques Skilled with SQL and data extraction methods. Innovative Thinker: You thrive on solving complex problems and are always exploring new trends in Generative AI. Collaborator & Communicator: You’re an excellent communicator able to collaborate and express your thoughts in a professional manner to team members, other engineering teams and stakeholders. Domain Knowledge: Exposure to financial services, investment banking, venture capital, or private equity is nice to have. Languages: English —Upper-Intermediate or higher; Ukrainian —fluent/native . What’s in it for You Reveal great tech solutions Join the team of experts who create custom, cutting-edge tech solutions for world-renowned businesses, fueling client growth. Unleash your potential, tackle new challenges, and be part of a team that values your skills and contributions. Focus on long-term impact and building tailored, long-lasting partnerships with our clients. Experience an agile and flexible working environment Enjoy the freedom of fully remote work with a flexible working schedule. Empower yourself with a stable workload and a stable income, supported by provided laptops and licensed software. We focus on lasting cooperation and unite result-oriented individuals who stand on a high-performance approach to work. Embrace the opportunity for personal and professional growth Benefit from performance and merit reviews, elevate your skills with personal development plans, and individual learnings through the corporate library, public speaking support, and more. Be among like-minded people Work with a team of one mind who cares about what they do and how they do. Collaborate with top-notch experts who are always ready to help and support you through any challenges. Join company-wide tech and cultural events, and contribute to meaningful CSR initiatives that resonate with your values. Feel supported by your HR, and take advantage of our referral bonus program. Interview steps Interview with the recruiter Technical interview (up to 90 min) System Design interview (up to 45 min) Behavioral Round with Product Manager (45 min) Final interview with Engineering Manager (30 min)

Location: Abu Dhabi, United Arab Emirates We are? We are EnerMech, a specialist service company that delivers safe, integrated solutions for complex energy projects. For over 50 years, we’ve been energizing our clients across the world with unrivaled expertise, equipment, and technology that supports the entire asset life cycle – offshore and on land. We enable progress through our three global business lines: Energy Solutions, Infrastructure & Industrial Solutions, and Lifting Solutions. Within these areas, we offer a wide range of services, including cranes, lifting, fluid power, training, equipment rental, pipeline, subsea, process, and valves – all designed to help you optimize performance, enhance reliability, and improve efficiency. With a focus on operational excellence, we deliver value through our customized integrated solutions. This approach reduces risk and enhances efficiencies making us a leading and trusted partner every step of the way. Diversity & Inclusion EnerMech is dedicated to fostering a diverse and inclusive organization. We believe that diversity enriches our team, and we welcome applications from candidates of all backgrounds, cultures, and identities. Role Establish, develop and lead the Middle East, Caspian & Asia engineering function across ES and IIS, implementing the global engineering operating model while maintaining responsive regional delivery. Provide dedicated transformation leadership and remain the long-term regional owner of capability, standards adoption, engineering governance implementation and workforce development. Translate globally defined standards, competency requirements and approval levels into consistent local practice. Lead the assigned regional engineering team and own its training, development and competency readiness Coordinate capability across countries and service lines and with other regional engineering leaders to enable agile delivery and global workforce flexibility. Manage the regional technical authority process and access to appointed authorities. Responsibilities Implement the engineering transformation locally: establish the capability and workload baseline, assign process owners, clarify responsibilities and deploy approved procedures, review gates and readiness requirements. Maintain a regional engineering delivery and capacity plan with operations, project and commercial leaders; match work to verified competence, secure checking capacity and escalate resource conflicts. Embed engineering early in tendering, project planning, equipment preparation, mobilization and field handovers, supporting realistic technical commitments and effective delivery interfaces. Ensure preparation, independent checking and approval responsibilities are explicit and recorded. Route high-risk or specialist decisions to appointed Technical Authorities and escalate unresolved technical / schedule conflicts to the Global Engineering Director. Lead adoption of controlled documentation, shared templates, verified calculation methods and approved digital workflows; manage regional implementation of engineering process and tool improvements within the global strategy. Implement the global competency framework and maintain regional team training and development plans aligned with competency gaps and delivery needs; coordinate structured training, mentoring and graduate rotations, develop multiskilling across relevant ES and IIS services and support succession planning. Coordinate regional recruitment and capability development with regional leadership and HR. Coordinate with other Regional Engineering Managers to share visibility of capacity, competencies and demand; agree cross-regional resource sharing, mobility and development opportunities to respond rapidly to changing priorities and provide global delivery flexibility. Align assignments with verified competence and regional commitments, promote common methods and reuse of technical lessons, and feed improvement proposals into the global framework. Monitor engineering quality, schedule adherence, readiness, rework, review turnaround and capability development; provide transparent regional delivery reports, risk escalation and corrective-action follow-up. Apply EnerMech and client quality, health, safety and environmental requirements; ensure competent technical risk assessment, management of change and closure of engineering assurance findings. Sustain regional ownership through routine governance, standards-adoption checks, training compliance and continuous improvement across onshore and offshore delivery. Requirements Experience: normally 8–12+ years of relevant engineering experience, including at least 3 years in engineering leadership Qualifications: relevant engineering degree, including Mechanical, Civil, Electrical, Chemical or Ocean Engineering according to discipline, plus demonstrated application. Evidence: implementation of standards and review processes; coordination of engineering resources; structured training / mentoring; and delivery across operations and project interfaces. Competency: Advanced leadership, planning and governance, with sufficient technical breadth to direct multidisciplinary ES / IIS support and recognize specialist limits. Travel: travel across Middle East, Caspian & Asia and collaboration with global teams as required. Advanced functional leadership: translate global direction into regional plans, clear ownership and sustained adoption. Engineering governance: understand technical assurance, codes, risk, change control and delegated approval boundaries without substituting management seniority for technical authorization. Change implementation: introduce common processes and digital tools while protecting capacity for current commitments. Workforce and development: plan capability and demand, structure mentoring and rotations, and maintain evidence-based competency and succession processes. Matrix collaboration: align global engineering and regional delivery stakeholders across countries, projects and service lines. Business and data literacy: interpret engineering delivery measures, scope, cost and commercial risk; explain constraints and make transparent recommendations.

Location: Dubai, United Arab Emirates; Riyadh, Saudi Arabia; Cairo, Egypt; Beirut, Lebanon; Karachi, Pakistan; Amman, Jordan Müller's Solutions is looking for a certified SAP ABAP Developer with ABAP Cloud skills to build clean-core developments on SAP S/4HANA Public Cloud . This is a remote role. Description: Develop custom logic, reports and extensions using ABAP Cloud and RAP Build CDS views and OData services for Fiori apps Use only released APIs in line with clean core principles Unit test, document and support deployments and fixes Requirements Requirements: 5+ years of ABAP development, including hands-on ABAP Cloud experience Valid SAP certification in ABAP Cloud / S/4HANA Cloud development Strong in RAP (managed and unmanaged), CDS views and ABAP Development Tools (Eclipse) Experience building OData V2/V4 services and SAP Fiori Elements apps Good understanding of clean core principles, released APIs and the extensibility model (key user, developer and side-by-side) Experience on at least one full-cycle SAP S/4HANA Cloud (Public or Private Edition) implementation Familiar with SAP Activate methodology and agile delivery Experience with ABAP Unit, ATC checks and code reviews Knowledge of transport management, gCTS or software components in cloud landscapes Experience integrating with SAP and non-SAP systems using APIs, events or SAP Integration Suite Strong analytical and troubleshooting skills, and able to work directly with functional consultants and clients Excellent communication skills in English SAP BTP ABAP Environment (Steampunk) experience is a plus Exposure to SAP Business Application Studio, CAP or SAP Build is a plus

Обязанности: — Анализировать системные и бизнес-требования для продукта, оценивать их тестируемость и полноту. — Анализировать и проверять дефекты, корректно оформлять их в баг-трекинговой системе (Eva) с детальным описанием шагов воспроизведения. — Создавать и генерировать отчёты о тестировании для руководства и команды разработки. — Разрабатывать тест-планы и тест-кейсы, поддерживать тестовую документацию в актуальном состоянии в системах Eva и TestIT. — Проводить функциональное, регрессионное, интеграционное и приёмочное тестирование. — Обеспечивать качество на всех этапах жизненного цикла продукта: от анализа требований до вывода на продуктивную среду. — Участвовать в разборе инцидентов на продуктивной среде, анализировать логи и предлагать меры по предотвращению подобных ситуаций. — Взаимодействовать с разработчиками, аналитиками и менеджерами продукта для уточнения требований и быстрого решения проблем. — Участвовать в планировании релизов и оценке трудозатрат на тестирование. Требования: — Высшее техническое образование. — Опыт работы в ручном тестировании от 3 лет. — Продвинутые знания теории тестирования: понимание видов и типов тестирования, уровней тестирования, принципов тест-дизайна. — Понимание подходов к разработке ПО (Waterfall, Agile, Scrum, Kanban). — Опыт тестирования API и понимание логики работы микросервисной архитектуры. — Знание клиент-серверного взаимодействия, сетевых протоколов (HTTP/HTTPS, TCP/IP, WebSocket) и кодов ответа. — Базовое понимание языков программирования (Java или Python). — Умение работать с базами данных и писать простые SQL-запросы для проверки данных. — Базовое понимание мобильных операционных систем (iOS, Android) и особенностей тестирования мобильных приложений. — Знание JMeter будет преимуществом (для проведения простых нагрузочных сценариев). — Знакомство с Agile-методологией приветствуется. Условия: — Гибридный график работы 5/2 с 9.00, 9.30 или 10.00, в пятницу сокращенный рабочий день на 1 час 15 минут. — Официальная заработная плата обсуждается с успешными кандидатами на собеседовании. — Испытательный срок 3 месяца. — Льготная ипотека после 6 месяцев работы. — ДМС со стоматологией + НС с возможностью подключить родственников и гибкой настройкой услуг после испытательного срока. — Компенсации (фитнес, английский, участие в спортивных мероприятиях, мат.помощь, обучение). — Корпоративная пенсионная программа. — 100% скидка на связь СберМобайл. — Комфортный офис рядом с метро Белорусская.

Location: AU: Melbourne: (260 Burwood Rd) Workplace: Hybrid The role / impact In this role, you will deliver well-structured, high-quality features across Xero's Salesforce platform and connected sales tools over a 3 to 6 month horizon. You will connect each feature to customer and business outcomes, using data, customer insights, and AI tools to make thoughtful trade-offs between speed and engineering quality. Working across teams and with cross-functional stakeholders, you will bring clarity to technical solution designs, improve engineering practices, and elevate overall system scalability. You will also mentor team members, contribute to incident response, and ensure reliable, zero-impact production deployments. The team / how they connect Our engineering teams work collaboratively with sales leaders, technical peers, and cross-functional partners to solve complex platform challenges. We foster an inclusive, high-performing environment where everyone actively participates in agile ceremonies, shares constructive feedback, and supports one another. Together, we take collective ownership of technical excellence, continuous improvement, and delivering software that makes a meaningful difference. Initially, you will focus on - Designing and delivering Salesforce features using the right balance of Apex, Lightning Web Components, and declarative tools like Flows. - Supporting connected sales tools and managed package upgrades, such as PandaDoc, Gong, and Outreach. - Setting up production monitoring, SLOs, and error handling while managing sandbox refreshes and release deployments. Where and how you can work We offer a flexible hybrid working environment that balances working from home with time spent connecting in our modern office spaces. You will have access to collaborative team areas and dedicated community days to collaborate with your peers in person. Here are some of the things we are looking for - Experience developing software using Apex, LWC, SOQL, and declarative Salesforce tools. - A practical approach to using AI responsibly across feature development, debugging, and system log analysis. - Deep expertise in a key Salesforce area such as Sales Cloud, CPQ, Data Cloud, or integrations. - Background in building and maintaining REST APIs and platform event integrations. - Familiarity with source control, deployment tooling like Salesforce CLI, and continuous integration pipelines. - Proven track record of handling production incidents, root-cause investigations, and quality assurance through TDD and trunk-based development. - Strong stakeholder communication skills—the ability to explain technical concepts clearly, navigate competing priorities, and keep people aligned across functions. Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.

Location: United States About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . Engineering Manager Role Overview We are seeking an Engineering Manager to lead the development of internal tooling and quality-control systems that power AI training workflows. This role is ideal for a leader who enjoys working across application development, infrastructure, and applied AI. You will be part of a rapidly growing team solving complex problems in AI systems, working in a startup-paced environment with high expectations and short timelines. The ideal candidate is someone who takes ownership beyond what their role technically requires, has a track record of shipping production systems, and is excited by the intensity of a fast-paced, ambiguous environment rather than looking for stable, predictable work. Key Responsibilities Tooling and Platform Development: Build scalable platforms supporting data creation, annotation, evaluation, review, and delivery. Design and implement APIs, internal applications, and developer tooling that enable efficient workflows. Develop maintainable, well-tested code that scales with growing demands. Quality and Efficiency: Improve dataset quality, task validation, model evaluation, and production efficiency. Build and iterate on evaluation frameworks that ensure quality and reliability of AI training outputs. Collaborate with research and domain experts to translate requirements into practical solutions. Architecture and Standards: Own architecture, technical delivery, reliability, security, and engineering standards. Design and implement data pipelines for dataset creation, annotation, and delivery at scale. Contribute to technical design and architecture decisions that balance speed, quality, and maintainability. Leadership and Mentorship: Mentor engineers and establish strong design, testing, and release practices. Partner with Operations, Product, and AI specialists to identify bottlenecks and deliver pragmatic solutions. Lead teams through urgent, high-pressure delivery schedules while maintaining quality and engineering excellence. Technical Skills Web Development - Node.js, React, NestJS, Next.js, Express Python Engineering and Data Science - FastAPI, NumPy, Jupyter notebooks. Proficiency in large-scale data generation and data pipeline orchestration. Frameworks like Spark, Beam, or Dataflow preferred. Statistical analysis, data visualization, and data manipulation. Infrastructure - Kubernetes, Docker, Pulumi, Terraform, infrastructure-as-code AI Engineering - LangChain, LiteLLM, RL Gyms, LoRA and fine-tuning, AI agents, and Harbor Quality Systems - Dataset validation, evaluation frameworks, automated testing, and QC tooling Qualifications Strong software engineering fundamentals with a proven track record of shipping production systems. Experience leading teams effectively in fast-paced, ambiguous environments. Demonstrated ability to balance speed, quality, scalability, and maintainability in technical decisions. Strong debugging, problem-solving, and communication skills with cross-functional teams. Interest in the evolving challenges of training and evaluating AI systems. What Success Looks Like You lead a team that ships high-quality solutions enabling AI training workflows. You can identify technical bottlenecks, design pragmatic solutions, and guide your team to implement them reliably. You're energized by working across the full stack from infrastructure to application code, and you're excited about the technical challenges of building evaluation and quality-control systems for AI at scale while developing strong engineers. Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here .

Location: Intellias Meet your recruiter Jeison Arturo Rios Castano jeison.rioscastano@intellias.com https://www.linkedin.com... Vacancy details Software Engineering Salesforce Engineer Senior Argentina, Chile, Colombia, Mexico, Peru, Uruguay Remote APPLY NOW REFER A FRIEND The Senior Software Engineer contributes to business processes by leveraging technological solutions. You will join a brand new team that will focus on Integration with ServiceNow, new functionality for funding sources and other features. What project we have for you Client is a leading multi-brand technology solutions provider to business, government, education and healthcare customers in the United States, the United Kingdom and Canada. A Fortune 500 company and member of the S&P 500 Index, Client was founded in 1984 and employs approximately 15,100 coworkers. For the trailing twelve months ended June 30, 2023, client generated Net sales of approximately $21,4 billion. What you will do Execute all phases of the software development life cycle. Assess operational needs, costs, and resource requirements for assigned projects, collaborating with project managers as needed. Work in agile team alongside the Product Owner, applying Salesforce/CPQ best practices and design methodologies, such as use case analysis, object modeling, and UI design, to ensure alignment with business requirements and design objectives. Identify and address issues requiring attention, resolving them with a clear understanding of the underlying business problem. Make informed technical decisions aligned with the product roadmap, architecture standards, and management directives. Deliver projects and tasks in a timely manner, honoring commitments to stakeholders and management. Provide regular project/task status updates during daily scrums to the agile team, product owners, and product managers. What you need for this 5 years of application development experience 2+ years of experience with the Salesforce ecosystem and lightning framework Must have the knowledge and practical application of Visualforce, APEX; Force.com APIs, Web Services, and Experience builder Must have knowledge and practical application of Salesforce CPQ, both out of the box and customizations Experience with source control systems like Azure DevOps, GIT Experience with the creation and maintenance of Salesforce / CPQ profiles, permission sets, and objects Experience in Salesforce CPQ integration with external systems and managed packages Deliver solutions in Agile methodology in CI/CD environment Demonstrated ability to build rapport and maintain productive working relationships cross-departmentally and cross-functionally Good written and verbal communication skills Strong organizational, planning, and creative problem-solving skills with critical attention to detail Demonstrated success in facilitation and solutions implementation Proven track record of leading application development projects History of balancing competing priorities with the ability to adapt to the changing needs of the business while meeting deadlines Excellent customer-facing skills that include conducting compelling technical briefings & demonstrations Ability to perform effective code reviews and recommend automated review tools for the team What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success. Skills CPQ Salesforce

Location: Intellias Meet your recruiter Carmen Beck carmen.beck@intellias.com https://www.linkedin.com... Vacancy details Software Engineering Python Engineer Senior United States Office APPLY NOW REFER A FRIEND Join a mission-driven technology team that’s redefining what’s possible in cardiac care. We’re developing an advanced medical system designed to help physicians diagnose and treat cardiac arrhythmias with precision and confidence. This role offers the opportunity to contribute to an innovative platform at the intersection of real-time software, visualization, and life-saving technology. You’ll work within a collaborative engineering environment where creativity and technical excellence drive meaningful patient impact. This position is based onsite in the Minneapolis, with a hybrid structure (minimum of four days onsite per week) that encourages direct collaboration, mentorship, and cross-functional engagement. What project we have for you The Senior Software Engineer will be a key contributor on the system software team, responsible for designing and implementing complex, high-performance applications that integrate closely with medical hardware and imaging systems. The ideal candidate will have deep technical expertise in Python and C++, a strong understanding of modern software architecture, and a passion for developing reliable, user-focused medical technologies. What you will do Lead the design, development, and optimization of high-performance system software. Develop, test, and debug applications that interface directly with embedded and hardware components. Collaborate with multidisciplinary teams—hardware engineers, system architects, product managers, and QA—to define requirements and deliver solutions that meet clinical and regulatory standards. Drive code quality through peer reviews, automated testing, and continuous integration. Mentor junior engineers and promote engineering excellence through knowledge sharing. Document design decisions, development processes, and testing methodologies to ensure traceability and consistency. Troubleshoot complex software issues and deliver timely resolutions in a regulated environment. Participate in lab evaluations, pre-clinical testing, and system demonstrations for stakeholders and clinicians. Stay current on emerging tools, frameworks, and industry best practices to continuously enhance product performance and maintain technical leadership. What you need for this Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or related field with 4+ years of relevant experience OR Master’s degree with 2+ years of experience OR PhD with industry or research experience in relevant areas Preferred Qualifications Advanced proficiency in Python and C++ Strong knowledge of object-oriented design, data structures, and algorithms Experience in real-time or embedded software development Familiarity with network communication protocols and hardware–software integration Experience in implementation Bluetooth stack, maintenance and configuration. Hands-on experience with ROS, Linux-based development, and/or real-time operating systems Experience with CI/CD pipelines, Git, and Agile development methodologies Knowledge of cloud services (AWS or Azure) and scalable software architectures Excellent communication and collaboration skills within cross-functional teams Proven ability to work independently on complex, mission-critical software systems What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success. Skills C++ Python

Location: United States About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . The Role Turing builds large-scale datasets and reinforcement learning (RL) environments that power post-training for the world's leading AI labs and enterprises. The STEM Horizontal team produces the high-signal coding and STEM data frontier labs train on. We're looking for a Research Engineering Manager to lead the research engineering behind its next layer: synthetic data that measurably improves models, and new benchmarks that measure what today's evals miss. You'll lead a team of research engineers, work side by side with research scientists, and stay close enough to the code to review an eval harness line by line or prototype a generator yourself when the team needs it. You'll also build the team : hiring research engineers is a core part of this role, not a side task. Ideally you've been on the other side, at a frontier lab, and know what makes a lab trust a dataset or a benchmark result. Synthetic data that earns its place. Generation, verification, and filtering pipelines where every sample is checked, and where we can show which properties of the data drive downstream gains, not just how much of it we made. Benchmarks that stay meaningful. New evaluations for capabilities current benchmarks miss, built with calibrated difficulty, contamination controls, and statistics strong enough that a lab can make a decision on the result. Quality failures here are quiet. A subtle bug in a verifier doesn't crash anything; it ships thousands of wrong labels into someone's training run and costs weeks. If you want to build the team and the systems that catch that early, this is the seat. What You'll Do 1. Build and Lead the Team Build the team: define the profiles you need, run hiring, and grow research engineers selected for research taste as much as engineering rigor. Run the team's operating rhythm: project selection, planning, experiment reviews, design docs, and clear ownership. Coach engineers on experimental design, code quality, and presenting results; give direct, regular feedback and run fair performance cycles. Define the standards the team works to: eval methodology, data quality bars, and reproducibility — every dataset and result can be regenerated from a commit, a config, and a seed. 2. Partner with Research Scientists Turn hypotheses into experiment plans together: what we're testing, the baseline, the ablations, and the result that would change our minds. Set the agenda with research scientists. You're expected to bring your own hypotheses, not only implement theirs. Take research prototypes to production scale without losing the scientific intent. 3. Build Synthetic Data Systems at Scale Own synthetic data pipelines that generate, verify, filter, deduplicate, and version data, combining programmatic generators, LLM-based generation, automated verifiers, and targeted expert review. Judge data by its effect on models : ablations and fine-tuning or RL experiments that show which attributes (difficulty, diversity, correctness, coverage) drive gains. Build quality systems that hold up at volume: gold sets, LLM-judge calibration against expert labels, sampling audits, and agreement metrics. 4. Create New Benchmarks and Evaluations Find where frontier models fail and where existing benchmarks have saturated, and design evaluations that measure what's missing . Own benchmark methodology end to end: task taxonomy, difficulty calibration, graders and verifiers, contamination controls, held-out splits, and confidence intervals. Ship eval harnesses , including agentic and sandboxed-execution evals, that are deterministic, reproducible, and trusted by internal teams and partner labs. Make the call on whether a result holds up: partner labs and internal teams act on your sign-off. Publish benchmarks, datasets, and findings with our research scientists at venues such as NeurIPS, ICML, and ICLR. 5. Stay Hands-On and Work with Frontier Labs Write code every week on the hardest, highest-leverage parts: core verifier logic, eval statistics, the pipeline component everything else depends on. Expect a third or more of your time on direct technical work. Be the person the team brings its hardest debugging and methodology questions to: why a judge disagrees with experts, why an eval number moved, whether a gain is real or noise. Act as a technical counterpart to researchers at frontier AI labs: scope requests, set acceptance criteria, and explain results and trade-offs plainly. Partner with Strategic Project Leads, delivery, and engineering teams so research advances land in client work and in the platforms the team builds. Sample Projects Identify a capability gap, design and ship a benchmark for it, and see it adopted by partner labs. Stand up a synthetic data pipeline for long-horizon coding tasks with execution-based verifiers, and run the ablations that show which task properties drive RL gains. Calibrate an LLM-judge grading system against expert labels, map where it fails, and decide where humans stay in the loop. Design the experiment that tells a partner lab whether a two-point gain on their eval is real. Decide which of three competing synthetic data approaches the team should bet on, and design the experiments that settle it. Tech Stack Research: Python · PyTorch or JAX · SFT · DPO · PPO / GRPO · RL with verifiable rewards Evals & data: LLM-as-judge · programmatic verifiers · sandboxed execution · gold sets · contamination checks Platform: Python services (Django / FastAPI) · PostgreSQL · Docker · Terraform · AWS or GCP What We're Looking For Experience: 8+ years of hands-on ML or research engineering, at least 5 in industry, including 3+ years directly managing research engineers, ML engineers, or researchers (hiring and performance management included). Synthetic data at scale: you've owned synthetic or curated data pipelines in production whose output drove training decisions , and can show how you measured their quality and downstream impact. Evaluation rigor: you've designed and shipped LLM evals or benchmarks that others used to make model decisions, and understand contamination, saturation, judge bias, inter-annotator agreement, variance, and confidence intervals. Experimental judgment: you plan ablations up front, choose baselines honestly, and can tell a real effect from noise. Technical depth: strong Python; production experience with PyTorch or JAX; working knowledge of the post-training stack (SFT, DPO, PPO/GRPO, RL with verifiable rewards). Technical direction: a track record of setting direction for a team, not only executing a roadmap handed to you. Scale: distributed data processing and large evaluation or training jobs (e.g., Ray, Spark, Kubernetes) on AWS or GCP. Communication: clear written communication for scientists and non-specialists alike; comfortable presenting results to researchers at partner labs. AI-forward: daily use of LLM coding tools (Claude Code, Cursor, Copilot) as part of how you ship, with the judgment to review their output critically. This is a must-have. Education: PhD or Master's degree in AI, machine learning, computer science, statistics, or a closely related field; PhD preferred. Exceptional equivalent research experience will also be considered. We weigh industry outcomes most heavily. Strongly Preferred Frontier AI lab experience: post-training data, evals, or reward modeling at a frontier lab (e.g., OpenAI, Anthropic, Google DeepMind, Meta, xAI) or a top industry research group. Built or contributed to a public benchmark or dataset the community uses. Nice to Have First-author papers at NeurIPS, ICML, ICLR, ACL, EMNLP, or similar. RL environment and verifier design for agentic tasks: coding agents, tool use, computer use, long-horizon workflows. Data valuation or attribution: measuring what each slice of data contributes to a model. Depth in a STEM domain such as math, physics, chemistry, or biology (not required). Experience managing tech leads or managers, or running several concurrent programs. Directing large expert networks through specs, rubrics, and fast feedback loops. A note from our CTO, Ece Kamar Some of the most important questions in AI can't be answered from inside a single lab: how to evaluate frontier models, how data and RL truly drive capability, and what happens when AI meets the real world. At Turing, we work directly with frontier labs, the academic community, and enterprises deploying AI at scale. That creates a feedback loop where deployment shapes our research and our research shapes the field, and we publish our findings, datasets, and benchmarks openly. Join our talented team at Turing to push the frontier of AI with rigorous science that matters. Why Turing Work directly with leading AI labs and enterprises at the frontier of post-training, evaluation, and synthetic data. Build the datasets and benchmarks that improve and measure the capabilities of advanced AI systems. Shape how frontier labs measure progress on coding and STEM reasoning. Operate with high autonomy, rapid iteration, and meaningful commercial impact. Collaborate with exceptional colleagues from organizations including Google, Meta, Amazon, and other leading technology companies. Contribute to research that may be shared through technical publications and leading conferences such as ICLR, ICML, and NeurIPS. Compensation $260,000 to $350,000 + Equity Don't meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive, and authentic workplace and celebrate authenticity, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here. Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here .

Location: Intellias Meet your recruiter Daniela Riabova daniela.riabova@intellias.com https://www.linkedin.com... Vacancy details Product Management Product Manager Senior Bulgaria, Colombia, Croatia, Poland, Portugal, Spain, Ukraine, United States Remote APPLY NOW REFER A FRIEND Client is a flexible benefits platform that enables companies to design personalized and inclusive employee benefits programs while reducing administrative complexity and operational overhead for HR teams. The platform provides employees with greater choice and flexibility in how they use their allocated benefits budgets, creating a more engaging and employee-centric benefits experience. Trusted by leading global organizations such as Stripe, Zoom, Lululemon, and Affirm, the solution supports nearly one million employees and demonstrates strong customer satisfaction metrics, including 75 NPS and 98% CSAT scores. What project we have for you The project focused on enhancing and scaling Client’s benefits management ecosystem, which allows organizations to configure and manage various employee benefit programs through a unified platform. The product suite includes solutions such as Lifestyle Spending Accounts (LSA), Health Spending Accounts (HSA), Health Reimbursement Arrangements (HRA), Flexible Spending Accounts (FSA), and additional customizable benefit offerings. Employees can utilize their benefit funds through multiple channels: purchasing discounted products and services via the internal marketplace (“The Store”), using a dedicated Visa payment card, or submitting reimbursement claims supported by the platform’s member support operations. From a business analysis perspective, the project involved analyzing business processes, improving platform workflows, supporting integrations between benefits products and payment/reimbursement systems, clarifying stakeholder requirements, and contributing to the optimization of user and HR administration experiences across the platform. What you will do Analyze the business, customer, and regulatory context of Pre-Tax benefits products, including HSA, FSA, HRA, and related employee benefit programs. Identify customer needs, pain points, and product opportunities. Own and evolve the product vision and roadmap for assigned Pre-Tax capabilities, balancing customer value, business priorities, regulatory requirements, operational needs, and technical constraints.Analyze the business context and client’s current state. Define business needs. Identify gaps between the current product experience and the target state, and define product initiatives required to close those gaps. Define and track product KPIs and success metrics for key Pre-Tax journeys. Use customer feedback, usage data, operational metrics, and market insights to support prioritization and product decisions. Contribute to product strategy by identifying opportunities to improve adoption, engagement, operational efficiency, and competitiveness of Pre-Tax offerings. Define and manage solution scope, detect, and track changes. Manage requirements-related conflicts and issues up to resolution. Document requirements in accordance with predefined standards and project specific. Specify a list of systems, actors, and organizational departments affected by the solution scope, and define assumptions and constraints. Plan communication with stakeholders. Collaborate with business stakeholders, project managers, and teams to reach a common understanding of the solution to address the needs. Manage requirements communication considering the project’s specifics and stakeholders’ preferences. Communicate product priorities, decisions, roadmap updates, and trade-offs clearly to both technical and non-technical stakeholders. Support release planning and milestone definition, ensuring that product scope is realistic and aligned with delivery capacity and business priorities. What you need for this Required skills: IT industry experience: 7 years or more, including collaboration with clients abroad. Experience in business analysis or product management: 5 years or more. Hands-on experience with U.S. Pre-Tax / tax-advantaged employee benefits products – 3+ years Experience with claims, reimbursements, expense eligibility, substantiation, adjudication, and supporting documentation workflows. Strong understanding of the software development lifecycle and Agile product delivery. Knowledge of business analysis activities and techniques, requirements lifecycle. Knowledge of requirements management tools (at least JIRA & Confluence). Strong English verbal and written communication skills. Strong analytical and problem-solving skills, including the ability to use data and customer feedback to support product decisions. Ability to define product success metrics and evaluate the impact of released functionality. Skills to represent information in graphical form. Systems thinking and ability to understand complex interconnected product and operational flows. Will be a plus: Knowledge of prototyping tools. Knowledge of product management best practices. What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success. Skills Business_Analytics Pre-Tax ProductManagement