Вакансии

Nebius is an international cloud technology company that is fully focused on infrastructure for artificial intelligence. Work format: On-site (Israel) or remote work (Europe, United Kingdom).

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Own positioning, messaging, and go-to-market for our products. Sit at the intersection of Product, Sales, Marketing, Delivery, and Customer Success — translating complex fintech tech into business value.

5 000 – 5 000 $

Software Engineer — Prenosis. golang, dev, engineer, digital nomad.

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О компании Aidentity — стартап в сфере AI × Human Intelligence. Продукт, который помогает человеку лучше понять свои сильные стороны и найти свое призвание. Стадия: MVP → развитие продукта → масштабирование Нам нужно: — Опыт работы в стартапе / яркое желание его получить — Готовность влиять на продукт с первого дня — Мышление продуктом, а не выполнение задач — Готовность работать только за долю от компании — ML / Data Science / AI — Python и привычный ML-стек — работа с данными, построением признаков, обучением и оценкой моделей — ML-эксперименты и проверка качества результатов — самостоятельное исследование неизвестной области — интерес к задачам на стыке AI, психологии, человеческие качества и рекомендационные систем — recommendation systems, embeddings, NLP/LLM, clustering, similarity / ranking models. Что предстоит делать ✔️создавать систему синтетических профилей данных ✔️развивать и улучшать алгоритм подбора профессий ✔️проектировать систему, которая будет обучаться на данных пользователей и специалистов ✔️экспериментировать с ML/AI-подходами и проверять гипотезы ✔️оценивать качество рекомендаций и разрабатывать метрики для сравнения разных подходов ✔️исследовать способы персонализации результатов для разных пользователей ✔️в перспективе — работать с NLP/LLM и другими AI-инструментами для анализа и обогащения данных ✔️участвовать в проектировании ML-части продукта и принимать технические решения вместе с командой Что предлагаем: — Удаленка — Гибкий график, part-time — Долгосрочное участие — Опционы — Маленькая команда, где слышат каждого — Продукт с большой миссией Подойдет тем, кто любит эксперименты и не боится неопределенности, готов влиять на будущий результат

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About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. It offers an advanced enterprise search evolving into a full-scale Work AI ecosystem with intelligent Search, AI Assistant, and scalable AI agents on a secure, open platform. It supports over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, enabling organizations to govern, scale, and customize AI without vendor lock-in or costly implementation cycles. Glean redefines how enterprises find, use, and act on knowledge through its Enterprise Graph and Personal Knowledge Graph, delivering personalized, context-aware responses. Its AI agents automate work across teams by accessing broad data sources, resulting in measurable business impact such as faster onboarding, increased productivity, and smarter decisions. Recognized by Fast Company, CNBC, Bloomberg, Forbes, and Gartner, Glean serves customers across 50+ industries with 1,000+ employees in 25+ countries, integrating with platforms like Microsoft Teams, Zoom, ServiceNow, Zendesk, and GitHub. About the Role: Glean seeks an Enterprise Account Executive to drive new business and expand relationships within large enterprise accounts. Responsibilities include landing and managing multi-million dollar global accounts using Glean’s AI technology and knowledge graph to deliver business outcomes. You will: — Source and close new logos within a territory — Navigate complex organizations to identify executive sponsors and champions — Understand customer business objectives and perform value-driven sales cycles — Collaborate internally to advance deals and ensure customer success — Consistently deliver ARR revenue targets using a metric-based approach — Develop and execute sales strategies to generate pipeline and predictable bookings — Provide timely input to corporate functions — Create ROI and business justification reports based on data — Run tight POCs based on business success criteria About you: — 6+ years of closing experience in sales with a top performer track record — Ability to learn, pitch, and demonstrate a highly technical product in a fast-changing environment — Proven success closing complex deals and selling into complex organizations — Experience uncovering greenfield opportunities and building new territories — Experience building relationships and selling face-to-face to C-level executives — Knowledge of best-of-breed software, technical understanding of integrations, APIs, infrastructure management, security, and analytics — Experience selling technical SaaS and cloud-based software solutions — Basic understanding of search infrastructure is a plus — Experience working with multiple teammates including SEs, BDRs, PMs, Executives, and Engineers — Familiarity with target account selling, solution selling, and methodologies like MEDDIC and Challenger is a plus Location: This role is remote but requires the candidate to be based in Chicago. Compensation and Benefits: OTE range is $250,000 - $300,000 annually, determined by location, level, knowledge, skills, and experience. Some roles may be eligible for variable compensation, equity, and benefits. Benefits include competitive compensation, Medical, Vision, Dental coverage, generous time-off, 401k plan contributions, home office improvement stipend, annual education and wellness stipends, regular company events, and daily healthy lunches. Diversity and Inclusion: Glean is committed to an inclusive and diverse company, not discriminating based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race. AI-First Mindset: AI fluency is core to Glean’s work culture. The interview process includes an AI-focused exercise or discussion to assess candidates' approach to AI integration in their role. Global Data Privacy Notice: Applicants agree to data processing as per Glean’s Privacy Policy and Applicant Arbitration Agreement by submitting their application.

About ActAI There are over 5 billion users using basic applications today such email, notes, tasks, calendar and they're not AI-native. Our mission is to build proactive applications for anyone in the world, who are not used to complex prompting. We aim to bring intelligence to conversations, errands, organising and workflows, with minimal to no prompting. Our application focuses on achieving high reliability for long-running workflows, persistent context, and real-world task completion. We believe products will greatly reduce hallucinations. Our objective is to organise anyone's life. Role As a Web Frontend Engineer, you will build the core web experiences, including Chat, Notes, Calendar, Docs and Sheets. You will own complex, highly interactive product surfaces from architecture through implementation, working closely with product, design, backend and AI engineers to make AI a native part of how users communicate, write, organise and work. What You'll Own Build major web experiences across Chat, Notes, Calendar, Docs, and Sheets. Develop complex interactions including real-time messaging, collaborative editing, rich-text editing, scheduling, tables, and spreadsheets. Build reusable frontend architecture and components that work consistently across ActAI applications. Integrate streaming AI responses, proactive actions, and model-driven experiences directly into product workflows. Own frontend performance, responsiveness, reliability and accessibility across browsers and devices. Work closely with product and design to take ideas from prototype to production quickly. What We're Looking For Strong experience building complex, production web applications using React, TypeScript and modern frontend technologies. Deep understanding of frontend architecture, state management, browser APIs, and performance. Experience building highly interactive products such as chat, collaboration, productivity, document editing, calendars, or workspaces. Experience with real-time systems, WebSockets, streaming APIs, or collaborative interfaces. Strong product and UI judgment with attention to interaction details. Able to independently own features from technical design through production. Outcomes Users can communicate, write, organise and collaborate seamlessly across Chat, Notes, Calendar, Docs and Sheets. Complex interactions such as group messaging, editing, scheduling and collaboration feel fast and reliable. AI capabilities are integrated naturally into product workflows rather than added as separate chatbot experiences. Frontend architecture remains fast, maintainable and reusable as ActAI expands into new applications and workflows. Tech Stack TypeScript React.js / Next.js HTML / CSS WebSockets / streaming APIs Node.js REST / GraphQL APIs How We Work The best products today in the world were built by small, world-class teams. We are a high talent density and hands-on team. We make decisions collectively and move at rapid speed, striking a balance between shipping high-quality work and learning. Joining our team requires the ability to bring structure, exercise judgment and execute independently. Our goal is to put in the hands of our users a truly magical product. Interview Process If there appears to be a fit, we'll reach out to schedule 3, but no more than 4 interviews. Applications are evaluated by our technical team members. Interviews will be conducted via virtual meetings and/or onsite. We value transparency and efficiency, so expect a prompt decision. If you've demonstrated the exceptional skills and mindset we're looking for, we'll extend an offer to join us and help bring practical AI benefits to billions of users globally.

- Опыт разработки и применения моделей машинного обучения для решения прикладных задач: прогнозирования, классификации, оптимизации, выявления аномалий и анализа производственных процессов. - Разрабатывать и внедрять алгоритмы машинного обучения и интеллектуального анализа данных для задач энергетической отрасли.

Зарплата не указана

О проекте: Мы строим Customer Intelligence & Personalization Platform для экосистемы бизнесов в Армении. В основе — Golden Record: единый профиль клиента, объединяющий данные банка, продуктов экосистемы и внешних источников. Поверх него строятся Customer 360, сегментация, scoring и персонализированные предложения. Задачи роли: Предстоит спроектировать слой между сырыми данными core banking системы и витринами платформы. Источник слабо документирован: часть значений закодирована, часть бизнес-логики реализована в коде и хранимых процедурах, две внешне одинаковые записи могут быть собраны разными алгоритмами из разных таблиц. Нужен человек, который разберёт этот источник и превратит его в осознанную модель данных: что откуда берётся, что на что влияет, какое поле что означает. Что предстоит делать: — Исследовать core banking систему, legacy- и внешние источники, восстанавливать их семантику. — Идти от целевой витрины к источнику: определять, из каких таблиц и по какой логике собирается каждый атрибут. — Разделять случаи, когда одинаковые по виду данные получены разными путями, и фиксировать правила выбора. — Описывать модель данных и метаданные: сущности, связи, grain, ключи, историчность. — Формировать требования к витринам для сегментации, scoring и рекомендаций. — Писать SQL-исследования и прототипы трансформаций, проверять гипотезы на данных. — Выяснять смысл данных напрямую у сотрудников банка — это постоянная часть работы. О бэкграунде: Важно, какие задачи вы решали — приходили в незнакомую недокументированную систему и разбирались сами, восстанавливали бизнес-смысл данных, строили модель с нуля и доводили исследование до работающей витрины. Если вы работали дата-инженером и значительную часть времени тратили на то, чтобы понять, что лежит в источнике, — это наш профиль. Если получали готовые чистые витрины — скорее нет. AI-native подход: Мы используем AI-native подход и ожидаем того же от кандидата: AI-инструменты применяются для разбора legacy, анализа схем, написания SQL и документирования. Требования: — Сильный SQL: оконные функции, сложные join-цепочки, анализ качества и распределений. — Опыт реверс-инжиниринга плохо документированных источников. — Понимание data modelling: сущности, grain, ключи, историчность, master entities. — Опыт работы с банковскими или fintech-данными (Core banking (особенно ArmSoft) / legacy banking systems, Customer 360) или опыт разбора сырых банковских данных о клиентах и продуктах из плохо документированных систем с целью производства маркетинговой и финансовой аналитики. — Python на уровне исследования данных. — Способность самостоятельно довести задачу «вот сырьё, вот целевая витрина» до результата. — Проактивность: готовность выяснять смысл данных у людей, а не ждать документации. — Git, Linux, опыт работы в закрытых Dev/UAT-контурах. Будет плюсом: — Знание армянского языка — Методологии матчинга и дедупликации — Опыт с Data Vault 2.0 — Опыт с DBT или аналоги — PII, маскирование, RBAC — Опыт в регулируемом on-premise контуре — Экспертиза в ML, ML Ops Условия: — Взаимодействие по ИП — Локация - Армения — Формат работы - гибрид, готовность работать из офиса банка до 3 раз в неделю.

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

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.

4 000 – 5 000 $

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.

Задачи: — Разбирать и обрабатывать документы в форматах Excel, PDF и сканы. — Извлекать табличные данные из документов. — Нормализовать даты, номера документов, суммы и другие поля. — Проектировать и реализовывать логику сопоставления данных. — Выявлять расхождения между двумя источниками. — Обрабатывать сложные кейсы: разные периоды, отличающиеся номера, частичные совпадения и другие неоднозначные ситуации. — Интегрировать OCR и Document AI-инструменты. — При необходимости использовать LLM для интерпретации и формирования человекочитаемых объяснений. — Разрабатывать backend/API для сервиса. — Участвовать в проектировании архитектуры MVP. — Работать с реальными обезличенными финансовыми документами и тестировать качество решения на исторических данных. Требования: — Коммерческий опыт разработки на Python от 3 лет. — Уверенное владение Python. — Опыт работы с pandas и табличными данными. — Опыт обработки Excel / CSV. — Опыт парсинга PDF. — Опыт разработки backend-сервисов и REST API. — Понимание алгоритмов сопоставления, нормализации и очистки данных. — Умение проектировать решение самостоятельно, а не только работать по готовому ТЗ. — Опыт работы с Git. Будет большим плюсом: — Опыт с OCR: Tesseract, PaddleOCR или аналогами. — Опыт с PyMuPDF, pdfplumber, Camelot, Tabula. — Опыт с fuzzy matching. — Опыт работы с Document AI / Intelligent Document Processing. — Интеграция LLM API: OpenAI, Azure OpenAI, YandexGPT или аналогов. — Опыт разработки систем reconciliation / data matching. — Опыт работы с финансовыми, бухгалтерскими или другими структурированными документами. — Опыт On-Premise решений. — Опыт построения решений, где нужно сочетать детерминированную бизнес-логику и AI. Что здесь не требуется: — Классический Data Scientist и обучение собственных ML-моделей с нуля. — В проекте важнее: сильная прикладная Python-разработка; работа с документами и данными; построение надежной логики сопоставления; понимание, где действительно нужен AI, а где лучше использовать обычные алгоритмы. О проекте: — На первом этапе планируется разработка MVP без глубокой интеграции с внутренними учетными системами. — Базовый сценарий: пользователь загружает акт сверки и внутреннюю выгрузку, система извлекает и нормализует данные, выполняет сопоставление, показывает совпадения и расхождения, формирует структурированный результат для пользователя. — Ожидаемый результат — рабочий прототип, который можно проверить на реальных исторических данных. Условия: — Удалённая работа. — Проектная занятость / аутстафф. — Возможна полная или частичная загрузка — обсуждается индивидуально. — Проект стартует с этапа MVP, с возможностью продолжения. — Работа в составе небольшой проектной команды. — Ожидаемый уровень Middle+ / Senior. — Специалист должен самостоятельно разобраться в предметной области, предложить техническое решение и довести его до рабочего результата. Будет преимуществом в отклике: — Опыт похожих задач: обработка документов; OCR; reconciliation / matching; financial data processing; Document AI; LLM-интеграции. — Указание текущей доступности, возможной загрузки в часах в месяц, часовой ставки, формата работы: ИП / самозанятый / другой.

О проекте: Мы строим Customer Intelligence & Personalization Platform для зарубежной экосистемы бизнесов. Задачи: — Принимать технические решения и самостоятельно реализовывать ключевые части платформы. — Владеть архитектурой и развитием Data Core. — Проектировать слои Bronze / Silver / Gold и модели данных. — Исследовать банковские, legacy- и внешние источники, восстанавливать их семантику. — Строить pipelines от raw-данных до подготовленных data products. — Разрабатывать трансформации на SQL / dbt / Python. — Определять инженерные стандарты для ELT, data modelling, metadata, lineage и data quality. — Развивать data catalog и metadata-as-code подход. — Проектировать data contracts и интеграции Data Core с другими компонентами. — Переводить исследовательские решения и ручные процессы в production. — Работать с Git, CI/CD, Docker, Linux и закрытыми Dev/UAT-контурами. — Взаимодействовать с инженерами и data scientist в команде. Требования: — Опыт работы Lead / Staff / Principal Data Engineer или сильного Senior с архитектурным ownership. — Опыт проектирования и самостоятельной реализации data platform / DWH / Lakehouse. — Знания Core banking / legacy banking systems. — Опыт с Customer 360 / Golden Record / MDM. — Сильный SQL и уверенный Python. — Опыт работы с dbt или аналогичными transformation frameworks. — Опыт работы с Airflow / Dagster / Prefect или аналогами. — Хорошее понимание data modelling, historization, grain и master entities. — Практический опыт data quality, lineage и metadata management. — Знание Data Vault 2.0. — Опыт работы с OpenMetadata или другими data catalog solutions. — Умение самостоятельно принимать технические решения и отвечать за результат. — Опыт работы с плохо документированными источниками. — Навыки работы с Git, CI/CD, Docker, Linux. — Практический AI-native способ разработки. Условия: — Оформление: ИП. — Формат работы: полная занятость. — Локация: Ереван либо готовность к регулярным командировкам (до 2 раз в месяц на несколько дней) в Ереван для работы с данными и специалистами заказчика. — Уровень дохода обсуждается индивидуально.

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About KPI Solutions: KPI Solutions is a national supply chain consulting and warehouse automation systems integrator, formed in 2021 by merging Kuecker Logistics Group, PULSE Integration, and QC Software. The company specializes in material handling integration and delivers engineered solutions combining automated technologies (MHE, robotics, conveyor, ASRS, AMR/AGV) with intelligent warehouse execution software to optimize productivity and fulfillment speed. Position Summary: The Software Deployment Engineer I/II is an individual contributor responsible for end-to-end delivery, configuration, installation, and support of Kommand warehouse execution/control systems and related material handling hardware such as pick-to-light, overhead illuminators, AutoStore, and T-sort integrations. The role includes project-level system configuration, commissioning, installation, upgrades, and live troubleshooting independently across on-site and remote/office phases. This role consolidates hardware installation and commissioning functions previously done by a dedicated Systems Integration & Commissioning team. Key Responsibilities: On-Site Delivery: — Lead software commissioning of Kommand and peripheral hardware systems at customer sites as primary technical owner. — Full-scope installation of pick-to-light and overhead illuminator systems including wiring, physical installation, configuration, and functional testing. — Conduct Installation Qualification (IQ) and User Acceptance Testing (UAT) with formal documentation and customer sign-off. — Sole owner of Kommand and system-level troubleshooting for live production issues during on-site engagements. Remote / Office Delivery: — Independently deliver new Kommand installations including application pre-configuration, database scripting, and pre-deployment testing. — Deliver Kommand version upgrades including SSDT schema comparisons, version control, local pre-install testing, and customer coordination. — Perform production upgrade execution after business hours to minimize downtime. — Work on DEV, QA, and Sandbox environments during business hours. — Validate, diagnose, and remediate defects, escalating rarely. — Participate in on-call rotation covering Kommand, AutoStore, and T-sort system escalations. — Provide post-go-live support including system migrations, integration testing with ERP/WMS platforms (e.g., SAP/WMS), and multi-site rollout support. Project Configuration & Deployment: — Gather Kommand configurations and system parameters for projects. — Translate Business Requirements Document and customer conversations into system settings, network spreadsheets, and parameters. — Educate clients on host interface use. — Configure Kommand sandbox and production environments for customer testing and go-live. — Assist with training on new features. Scope & Independence: — Sole owner of critical workstreams including new installations, upgrades, and live troubleshooting. — Requires judgment and technical depth to manage customer-facing delivery, testing, and sign-off without dedicated support. Requirements: — Experience commissioning warehouse execution/control software and hardware peripherals. — Working knowledge of SQL Server environments including SSDT schema comparison and version control. — Experience with formal software testing methodologies (IQ/UAT) including documentation and customer sign-off. — Ability to diagnose, troubleshoot, and resolve live production issues under time pressure. — Comfort or willingness to perform hands-on installation work for pick-to-light and overhead illumination systems. — Willingness to work after hours and participate in on-call rotation. — Ability to translate business requirements into structured system configuration. — Strong customer-facing communication skills. Preferred Qualifications: — Experience with AutoStore and/or T-sort systems. — Experience with ERP/WMS integration testing (e.g., SAP). — Background in material handling, warehouse automation, or industrial controls. What we Offer: — Medical, Dental, Vision Insurance — Health Care Concierge Service — 401(k) Retirement Plan (Pre-tax & Roth) — Company paid Basic Life Insurance, Short-Term and Long-Term Disability — Voluntary Life & AD&D Insurance — Voluntary Accident, Critical Illness & Hospital Indemnity Insurance — Pet Insurance — Milk Stork Program — Wellness Program with gift card redemption and challenges — Paid Time Off (Vacation, Sick & 10 Holidays) — Training & Development Equal Employment Opportunity statement included.

About Delinea: Delinea is a pioneer in securing human and machine identities through intelligent, centralized authorization, empowering organizations to seamlessly govern their interactions across the modern enterprise. Leveraging AI-powered intelligence, Delinea’s leading cloud-native Identity Security Platform applies context throughout the entire identity lifecycle – across cloud and traditional infrastructure, data, SaaS applications, and AI. It is the only platform that enables you to discover all identities – including workforce, IT administrator, developers, and machines – assign appropriate access levels, detect irregularities, and respond to threats in real-time. With deployment in weeks, not months, 90% fewer resources to manage than the nearest competitor, and a 99.995% uptime, Delinea delivers robust security and operational efficiency without compromise. What You Will Own: — Price and packaging architecture across the portfolio: tiering, licensing metrics, add-on structure, bundling. — Proposal quality into the monthly Price Committee: analysis, financial model, recommendation, and action register through to closure. — Discount governance, including band policy and guardrails. — Monetization for new categories: NHI governance, AI agent identity, StrongDM, consumption-based licensing. — Commercial readiness at launch, ensuring packaging and pricing ship with the product. — The single source of truth for pricing, packaging and quoting guidance, partnering with Product Marketing on seller enablement. — Price realization, attach rate and competitive position, informed by competitor pricing, market benchmarks and win/loss data. What We Are Looking For: — 12+ years across pricing strategy, monetization, product management or product marketing, including 5+ years owning pricing as a named function. — Experience building a monetization function where none existed: cadence, governance, documentation, analytical bench. — Experience preparing and defending recommendations to a formal pricing committee or equivalent decision body. — Demonstrated design of tiered packaging for enterprise software, strong financial modeling (pricing impact, ARR and expansion, discount optimization). — Credibility with executive peers, holding a position on pricing under pressure without direct authority over sales or finance. Strongly preferred: — Cybersecurity or identity security (PAM, IAM, SIEM, endpoint); exposure to NHI, machine identity or secrets management. — Consumption-, usage-, or outcome-based pricing models alongside seat-based subscription. — Working knowledge of CPQ (Salesforce CPQ, Apttus); pricing through M&A integration or a major commercial model transition. MBA a plus. Why Now: Pricing at Delinea has been carried by people doing it well alongside a full portfolio, and the surface area keeps growing. The opportunity is to make monetization a professional discipline, with a decision forum that already works. This role is built for owning monetization end-to-end rather than managing an approval queue. Why work at Delinea? — Meaningful work, a culture of innovation and great career progression. — Core values: Spirited, Trust, Respect, Ownership, Nimble, Global. — Competitive salaries, meaningful bonus program, excellent benefits including healthcare insurance, pension/retirement matching, life insurance, employee assistance program, time off plans, and paid company holidays. Delinea is an Equal Opportunity and Affirmative Action employer prohibiting discrimination and harassment of any type. Candidates are required to complete comprehensive criminal background check, verification of education, and employment, and social media sites may be reviewed upon conditional offer of employment.

About the Role We are looking for a smart, technically curious, and customer-focused Smart Office Support Engineer to help maintain and support our modern workplace technologies. This role combines traditional IT support with smart office systems, including access control, video conferencing, and security technologies. You do not need a long list of certifications or years of experience. We value intelligence, problem-solving ability, willingness to learn, and excellent customer service skills above all else. Responsibilities: End-User IT Support · Provision, configure, and deploy laptops and workstations for employees. · Support users with hardware, software, and connectivity issues. · Install and maintain operating systems, applications, and security updates. · Troubleshoot Microsoft Windows and productivity tools. · Provide onsite and remote support to employees. Smart Office Systems · Support and troubleshoot CCTV, Face Recognition and Access Control systems, Video Conferencing solutions · Routine morning systems checkup · Coordinate with vendors, service providers, our own expert team when necessary. Documentation · Maintain accurate documentation of systems, procedures, and support activities Required Skills & Qualities · Genuine interest in technology and learning new systems. · Good communication skills and professional customer service attitude. · Ability to explain technical concepts to non-technical users. · English proficiency, Russian- and Greek- abilities would be nice · Driving license and own car for extra mobility when needed Technical Requirements Experience with some of the following is desirable: · Microsoft Windows administration. · Active Directory user management. · Laptop and desktop hardware support. · Basic networking concepts (IP addressing, DNS, DHCP, Wi-Fi). · Video conferencing platforms and meeting room systems. · Access control, Face ID, or CCTV systems. · Mobile device support. Nice to Have · Ability to diagnose issues methodically rather than relying solely on documentation. · Experience supporting users in a corporate environment. · Exposure to enterprise IT systems. · Experience with ticketing systems. · Knowledge of cybersecurity best practices. We offer · Competitive salary · Professional and international working environment · Opportunity for professional growth and development · Best office in Paphos · 21 days of paid annual leave · 40 working hours of paid sick leave per year · Public holidays in accordance with the Cyprus Public Holiday calendar

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Задачи: — Администрировать, поддерживать и оптимизировать облачные платформы и инфраструктуру. — Настраивать, конфигурировать, поддерживать и совершенствовать CI/CD- и GitOps-пайплайны. — Внедрять и поддерживать практики Infrastructure as Code (IaC) с использованием таких инструментов, как Ansible, Terraform, Pulumi. — Управлять контейнеризированными средами с использованием Docker, Docker Swarm и Kubernetes. — Обеспечивать надежную инфраструктуру и процессы развертывания для BI-сервисов и приложений, включая ClickHouse, SQL, Airflow, Tableau, Superset. — Тесно взаимодействовать с командами разработки и BI для повышения надежности развертывания, консистентности окружений и операционной эффективности. Требования: — Уверенные навыки настройки и администрирования как минимум одной облачной платформы. — Уверенные навыки построения и автоматизации процессов развертывания с использованием CI/CD и GitOps. — Опыт построения масштабируемой IT-инфраструктуры. — Уверенные навыки настройки Linux-серверов и устранения неисправностей. — Практический опыт работы с Kubernetes. — Понимание сетевой модели OSI. — Понимание принципов построения надежной и масштабируемой инфраструктуры, а также автоматизированных процессов развертывания. — Знание принципов информационной безопасности и защиты данных. — Интерес к работе с инфраструктурой для Business Intelligence и data-related решений либо соответствующий практический опыт.

4 000 – 5 000 $

DomainTools is looking for a Principal Product Manager to join its Product team. This role is responsible for growing and refining data products that drive threat intelligence solutions, with API-first delivery and integration into UI, AI, and third-party experiences and workflows. It is a strategic role with high impact and visibility inside and outside the company. The ideal candidate is a strong leader and successful product manager with a track record of delivering market-leading data products, based on insights from direct customer interaction and big-data analysis. The product manager is expected to contribute solid knowledge of business constraints and prioritize opportunities, deep knowledge of users and customers, and understanding of platforms customers use to engage with products. They must track industry trends and competitive landscape relevant to their products. The product manager collaborates closely with engineering, marketing, sales, and solutions engineering teams to deliver world-class solutions. This is an individual contributor role requiring influence through data and logic. Basic Qualifications: — Minimum 7 years in cybersecurity or data-related product management, delivering data-driven analytics and products — Deep knowledge of business and customers, understanding data product usage and value — Experience with threat intelligence products, threat feeds, APIs, and related technologies — Experience interacting with customers using data warehousing, data science, and Big Data technologies — Experience integrating data products into third-party environments (customer and partner ecosystems) — Experience working with Agile (kanban/scrum) development teams and processes — Excellent people skills working cross-functionally from ideation to market — Excellent writing, communication, and presentation skills — US-based with willingness to accommodate core hours overlapping 9am-3pm US Pacific time Preferred Qualifications: — Experience in cybersecurity investigations, threat defense, incident response, or related activities — Solid understanding of cybersecurity market and modern security architectures — Familiarity with cybersecurity data domains including DNS, IP, TLS/SSL certificates, web crawl, BGP, NetFlow data — Experience with real-time data collection, processing, and delivery — Experience with large language models (LLMs) and agentic workflows — Experience with data products leveraging predictive analytics / machine learning (ML) — Experience with distributed systems and cloud computing

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