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Location: Sofia, Bulgaria Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry’s digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity. In this role, you will provide technical leadership to the engineering and sourcing teams, ensuring accurate manufacturing cost assessments and high-quality quotations. You will act as the primary technical expert for complex parts and critical commercial opportunities, support customer and manufacturing partner discussions, and help engineers develop their technical expertise. This position combines strong mechanical and manufacturing engineering knowledge with sound technical judgment, leadership, and communication skills. How You’ll Contribute: Provide technical leadership and guidance to engineers involved in sourcing, cost estimation, and quoting Act as the primary technical expert for complex projects and critical commercial opportunities Review CAD models and technical drawings to assess manufacturing complexity, feasibility, and production requirements Guide the selection of manufacturing processes, materials, and post-processing methods Review and validate the technical content of quotations, including manufacturing assumptions, cost calculations, and specifications Lead technical discussions with customers and manufacturing partners to clarify requirements, resolve challenges, and align on feasible solutions Oversee the assignment of technical tags and ensure consistent categorization of parts by process, material, and complexity Support the team in prioritizing complex requests and resolving technical escalations Mentor junior engineers, share manufacturing knowledge, and provide constructive feedback on their assessments Improve technical review practices, quoting consistency, and collaboration between Engineering, Sourcing, and Sales What You’ll Bring to Xometry: Education: Higher technical education in Mechanical Engineering, Manufacturing Engineering, or a related field Manufacturing Experience: Proven experience in a manufacturing environment involving complex parts, components, or products Leadership Experience: Previous experience as a technical lead, lead engineer, or senior engineer providing guidance to others Technical Expertise: Strong knowledge of machining and fabrication processes, including CNC turning and milling, sheet metal processing, cutting, and welding Cost Estimation: Experience assessing manufacturing costs, including materials, machining time, tooling, and post-processing Drawing & CAD Interpretation: Ability to review 3D CAD models and 2D technical drawings, identify manufacturing challenges, and evaluate proposed solutions Technical Judgment: Ability to validate quotations, identify missing information, and explain technical assumptions clearly Language: English proficiency at B1–B2 level Communication: Ability to lead technical discussions with customers, manufacturing partners, and internal teams Mentoring: Ability to support engineers’ development through practical guidance and knowledge sharing Prioritization: Ability to remain effective under pressure and manage multiple requests and competing priorities What We Offer: Fully remote work at first, later in Sofia - hybrid (3 days from office) once the office is opened Flexible schedule: Plan your working day around collaboration with teams in the US Eastern Time Zone Technical ownership: Take the lead on complex manufacturing challenges and help shape technical decisions Leadership impact: Mentor engineers, share your expertise, and improve the way the team works International collaboration: Work with colleagues, customers, and manufacturing partners across markets Company-provided equipment: laptop Holiday calendar: EU or local holidays, depending on your location Holiday Calendar: EU or local holiday calendar #LI-Remote #Promoted Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Please read our privacy policy here.

Location: Serbia; Spain Social Discovery Group (SDG) is a group of social discovery companies. SDG solves the problems of loneliness, isolation, and disconnection - transforming virtual intimacy into the new normal. SDG’s products redefine the way people interact and connect with one another. Our portfolio includes social entertainment platforms designed to connect people online across different cultures and regions of the world. We bring together a team of like-minded people and IT professionals who specialize in creating and developing globally impactful social discovery products. Our international team of digital nomads works remotely from all over the world. We’re proud to be a two-time “Great Place to Work” winner (USA & Japan, 2024–2025) and a Top-5 Company for Work-From-Anywhere Jobs (FlexJobs, 2025). We are looking for Lead ML Engineer -LLM Inference & NLP . Your main tasks will be: Speed up and scale LLM inference in production: SGLang, KV and prefix caching, batching, quantization, speculative decoding Run distributed inference for very large models (up to 1T+ parameters) across multi-GPU and multi-node setups Benchmark new GPU servers and hardware, bring them into production and adapt our serving code to them Lead the NLP and CV teams technically: review experiments, set direction, and step in early when something is heading the wrong way Train and fine-tune the language models, and improve the agent harnesses and chat algorithm that run on them Track cutting-edge research and open-source work in inference and post-training, and turn it into the ML roadmap Collaborate closely with the validation, content, and dataset preparation teams to design experiments and measure model quality We expect from you: Deep hands-on experience optimizing LLM inference in production with SGLang, vLLM, or TensorRT-LLM Experience with distributed inference or training of large models: MoE, tensor/expert/pipeline parallelism, multi-node GPU clusters Strong understanding of what makes inference fast: KV cache, attention kernels, batching, quantization, GPU profiling Experience training and fine-tuning LLMs, including post-training (RLHF, DPO, or similar) Proven technical leadership: you've guided engineers through reviews, mentoring and technical decisions while still writing code yourself Proficiency with PyTorch, transformers, and related libraries Experience at AI-focused startups or companies (Character AI, OpenAI, and similar is a strong plus) Backend engineering experience (Python, Go, C#) and knowledge of scalable deployment systems is a significant advantage Advanced English or Russian Nice to have: CUDA or Triton kernel development A computer vision background. We also welcome strong CV leads who have accelerated large generative image or video models Experience with multimodal LLMs First-author papers or notable open-source work, e.g. contributions to SGLang, vLLM, or post-training libraries A degree in CS, math, or physics from a strong program (MSc or PhD) What do we offer: REMOTE OPPORTUNITY to work full-time; The initial pay level or pay range for this role will be shared with candidates during the recruitment process and before the commencement of employment; Vacation 28 calendar days per year; 7 wellness days per year (time off) that can be used to deal with household issues, to lie down and recover without taking sick leave; Bonuses up to $5000 for recommending successful applicants for positions in the company; 50% payment for professional training, international conferences, and meetings; Corporate discount for English lessons; ​ Health benefits. According to the paychecks, if you are not eligible for corporate medical insurance, the company will compensate you with up to $ 1,000 gross per year per employee. This can be spent on self-purchase of health insurance or on doctor’s fees for yourself and close relatives (spouse, children); ​ Workplace organization. The company provides all employees with an equipped workplace and all the necessary equipment (table, armchair, wifi, etc.) in our offices or co-working locations. In the other locations, the company provides reimbursement of workplace costs up to $ 1000 gross once every 3 years, according to the paychecks. This money can be spent on the rent of the co-working room, on equipping the working place at home (desk, chair, Internet, etc.) during those 3 years; Internal gamified gratitude system: receive bonuses from colleagues and exchange them for our merchandise, team building activities, massage certificates, etc. Sounds good? Join us now!

Опыт оптимизации LLM-инференса с SGLang, vLLM или TensorRT-LLM. Работа с большими моделями на распределённой GPU-инфраструктуре.

Location: Kazakhstan, Georgia, Serbia Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry’s digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity. In this role, you will provide technical leadership to the engineering and sourcing teams, ensuring accurate manufacturing cost assessments and high-quality quotations. You will act as the primary technical expert for complex parts and critical commercial opportunities, support customer and manufacturing partner discussions, and help engineers develop their technical expertise. This position combines strong mechanical and manufacturing engineering knowledge with sound technical judgment, leadership, and communication skills. How You’ll Contribute: Provide technical leadership and guidance to engineers involved in sourcing, cost estimation, and quoting Act as the primary technical expert for complex projects and critical commercial opportunities Review CAD models and technical drawings to assess manufacturing complexity, feasibility, and production requirements Guide the selection of manufacturing processes, materials, and post-processing methods Review and validate the technical content of quotations, including manufacturing assumptions, cost calculations, and specifications Lead technical discussions with customers and manufacturing partners to clarify requirements, resolve challenges, and align on feasible solutions Oversee the assignment of technical tags and ensure consistent categorization of parts by process, material, and complexity Support the team in prioritizing complex requests and resolving technical escalations Mentor junior engineers, share manufacturing knowledge, and provide constructive feedback on their assessments Improve technical review practices, quoting consistency, and collaboration between Engineering, Sourcing, and Sales What You’ll Bring to Xometry: Education: Higher technical education in Mechanical Engineering, Manufacturing Engineering, or a related field Manufacturing Experience: Proven experience in a manufacturing environment involving complex parts, components, or products Leadership Experience: Previous experience as a technical lead, lead engineer, or senior engineer providing guidance to others Technical Expertise: Strong knowledge of machining and fabrication processes, including CNC turning and milling, sheet metal processing, cutting, and welding Cost Estimation: Experience assessing manufacturing costs, including materials, machining time, tooling, and post-processing Drawing & CAD Interpretation: Ability to review 3D CAD models and 2D technical drawings, identify manufacturing challenges, and evaluate proposed solutions Technical Judgment: Ability to validate quotations, identify missing information, and explain technical assumptions clearly Language: English proficiency at B1–B2 level Communication: Ability to lead technical discussions with customers, manufacturing partners, and internal teams Mentoring: Ability to support engineers’ development through practical guidance and knowledge sharing Prioritization: Ability to remain effective under pressure and manage multiple requests and competing priorities What We Offer: Fully remote work: Work from your home office without a daily commute Flexible schedule: Plan your working day around collaboration with teams in the US Eastern Time Zone Technical ownership: Take the lead on complex manufacturing challenges and help shape technical decisions Leadership impact: Mentor engineers, share your expertise, and improve the way the team works International collaboration: Work with colleagues, customers, and manufacturing partners across markets Company-provided equipment: laptop Holiday calendar: EU or local holidays, depending on your location Holiday Calendar: EU or local holiday calendar #LI-Remote #Promoted Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Please read our privacy policy here.

— Уверенный опыт (Senior) в Affiliate Marketing / iGaming; — Опыт запуска affiliate-направления и новых гео с нуля;

Location: Lviv Workplace: onsite Ajax Systems — міжнародна технологічна компанія і найбільший у Європі виробник охоронних систем. System підрозділ розвиває програмну екосистему Ajax — OS Malevich, Video Management System, cloud і клієнтські застосунки. Команда забезпечує стабільну роботу всіх компонентів системи як єдиної цифрової платформи. VMS - платформа, яка є фундаментом для всієї екосистеми відеопристроїв Ajax, створюючи інфраструктуру для передачі, зберігання та обробки відео. Зараз ми шукаємо QA Team Lead, який поєднуватиме розвиток QA-команди та процесів із глибоким технічним зануренням у продукт. Лідера, який організує роботу команди і особисто братиме участь у дослідженні складних проблем, шукаючи їх першопричини. Вашими задачами буде: Робота з командою та менторство Організовувати роботу QA-команди, планувати задачі, визначати пріоритети та контролювати їх виконання. Менторити QA-інженерів, проводити оцінку роботи команди та формувати плани розвитку. Взаємодіяти з розробниками, PM та суміжними командами. QA-процеси та якість Налагоджувати та оптимізувати QA-процеси під високий темп релізів. Впроваджувати метрики якості та використовувати їх для прийняття рішень. Підвищувати якість тестування та допомагати команді знаходити системні проблеми в процесах і продукті. Технічне занурення Працювати з продуктом, який поєднує hardware, firmware, backend/cloud та клієнтські застосунки. У технічному стеку: Linux, мережеві технології та протоколи (TCP/IP, UDP , HTTP/HTTPS), відеострімінг ( RTSP , WebRTC, ONVIF ), логи та системи моніторингу (uart, journalctl, Kibana, Grafana), Python/Bash для скриптів і автоматизації. Досліджувати та локалізувати складні проблеми, аналізуючи логи, мережеву взаємодію та поведінку системи за допомогою Linux CLI та утиліт діагностики. Проводити технічний аналіз проблем, шукати їх першопричини (Root Cause Analysis) на межі заліза, прошивки та хмари, а також взаємодіяти з розробниками для їх вирішення. Досліджувати реальні кейси використання продукту та звернення користувачів для покращення якості. Робота з автоматизацією Взаємодіяти із SDET -інженерами для розвитку автоматизованого покриття. Використовувати скрипти та інструменти автоматизації для тестування, діагностики та дослідження проблем. Наш ідеальний кандидат має: 2+ роки досвіду на позиції QA Team/Tech Lead або на рівні Senior QA Engineer з досвідом керування командою, менторингу та розподілу завдань. Сильний QA-фундамент та практичний досвід тестування складних продуктів. Глибоке технічне розуміння принципів роботи складних систем та здатність самостійно досліджувати їх компоненти. Практичний досвід аналізу логів, взаємодії компонентів і пошуку першопричин технічних проблем. Здатність швидко розібратися в новому продукті та зрозуміти, як він побудований. Вміння організовувати роботу команди, тримати дедлайни та приймати рішення. Сильні комунікаційні навички, сміливість говорити про проблеми вголос та взаємодіяти із суміжними командами. Буде перевагою: Досвід роботи з Embedded / Firmware / Hardware-продуктами. Досвід роботи зі складними системами та інтеграціями. Базове розуміння мережевих технологій та відеострімінгу. Навички автоматизації або написання скриптів на Python/Bash. Досвід тестування відеопродуктів. Ми пропонуємо: можливість пропонувати та реалізовувати власні ідеї, які впливають на продукт та його масове виробництво; місце у стрімко зростаючій компанії з вмотивованою професійною командою; конкурентну заробітну плату; медичне страхування; корпоративні заняття з англійської мови; можливість взяти участь у внутрішньому проєкті бета-тестування систем безпеки Ajax; знижки на продукти компанії та партнерів. Ajax Systems — це українська історія успіху, яка виросла в глобальний продукт. Пристроям Ajax довіряють уже понад 4,5 мільйони кінцевих користувачів і 330 тисяч PRO-користувачів у більш ніж 180 країнах. Компанія пропонує комплексні рішення для захисту житлових і комерційних об'єктів різного масштабу. Нині портфоліо Ajax налічує 280 пристроїв для захисту від вторгнення, відеоспостереження, пожежної безпеки та комфорту й автоматизації.

— Руководить AI-артистами: ставить задачи, развивать команду и отвечать за качество видео и ассетов для креативов. — Самостоятельно создавать ролики под ключ: анализировать ТЗ, планировать шоты, генерировать видео, монтировать и обрабатывать результат.

Basecamp Research is looking for a Product Lead Peptide Therapeutics to own the peptide platform’s commercial strategy, roadmap, product profiles, positioning, and pharmaceutical partnerships.

Fireworks is looking for a GTM Planning Lead to design GTM capacity plans, territories, quotas, incentives, and forecasting processes.

Задачи: — Оперативное управление объектами дата-центра AI — Обеспечение бесперебойной работы и поддержание uptime — Управление инцидентами — Создание масштабируемых операций на площадке Требования: — Знание liquid cooling, BMS, datacenter maintenance, root-cause analysis, PDU, DCIM, LOTO, switchgear, CDU, NFPA 70E, UPS, vendor management, electrical distribution — Опыт работы с Python — Навыки управления инцидентами и change management — Знание busway Условия: — Работа в офисе в Сан-Хосе — Зарплата от $150,000 до $250,000 в год

- Руководить AI-артистами: ставить задачи, развивать команду и отвечать за качество видео и ассетов для креативов. - Самостоятельно создавать ролики под ключ: анализировать ТЗ, планировать шоты, генерировать видео, монтировать и обрабатывать результат.

- Эксплуатация, настройка и диагностика СХД Huawei/Dell, устранение проблем; - Настройка, кластеризация, диагностика и устранение проблем виртуализации VMware;

Location: Москва ИТ B2C — самая крупная экосистема в Сбере. Нас более 8000 человек в 18 городах России. Мы занимаемся разработкой и развитием розничных решений, помогая сделать сервисы Банка доступнее, безопаснее и удобнее. Ждем именно тебя! SberAds — единая рекламная платформа экосистемы Сбера. Мы предоставляем бизнесу и агентствам технологичный инструмент для запуска эффективной рекламы на главных цифровых площадках страны. В основе платформы лежит искусственный интеллект: система сама выбирает оптимальную площадку для показа, работает с 250+ уникальными сегментами аудитории и использует нейросети для генерации креативов. Мы создаем продукт, который принимает решения в реальном времени и обеспечивает точность для тысяч рекламодателей. Обязанности Задачи: * управление командой из 3-5 инженеров, постановка задач, перфоманс-ревью, наставничество и развитие компетенций инженеров * проектирование отказоустойчивой инфраструктуры в SberCloud * ответственность за надежность и масштабируемость кластеров CCE (Cloud Container Engine), сетевой топологии, Ingress и Storage * развитие инфраструктуры мониторинга (VictoriaMetrics, Grafana), логирования (ELK), трейсинга (Elastic APM) и интеграции Sentry * взаимодействие с командой DBA для обеспечения общей надежности дата-интенсивных сервисов (PostgreSQL, ClickHouse, Tarantool и др.) * делегирование стандартных операционных задач (создание ранбуков, первичный анализ логов, генерация IaC-кода) ИИ-агентам * развитие инфраструктуры как кода (Terraform, Ansible, GitLab CI). Требования Мы ждем от кандидата: * высшее образование * опыт работы в SRE от 5 лет * опыт управления небольшой командой от 1 года * глубокое понимание архитектуры Kubernetes и опыт управления облачными кластерами (CCE, EKS, GKE или аналогами) под высокими нагрузками (миллионы RPS) * практический опыт работы с Kafka, уверенные знания HashiCorp Vault и Consul, понимание принципов построения Observability-систем и опыт работы с Elastic APM / ELK / VictoriaMetrics * опыт работы с IaC (Terraform) и написания скриптов на Python/Go/Bash * понимание сетевого стека (VPC, DNS, балансировка), работы ОС Linux. Будет плюсом: * навыки работы с генеративными AI-моделями * опыт создания AI-агентов и использования их в работе. Условия Что мы предалагем: * офис рядом с метро Маяковская * гибридный формат работы * ежегодный пересмотр зарплаты и годовая премия * корпоративный спортзал и зоны отдыха * подписка Прайм с возможностью совместного использования на трёх близких * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * вознаграждение за рекомендацию друзей в команду Сбера.

As Engineering Lead, Conversational Platforms, you will be playing an active part in the hands-on process of building software and managing your own team. Working with other engineering teams to identify and anticipate changing requirements and opportunities to improve the development environment.

Morpho Labs ищет специалиста на позицию US Policy Lead, который будет отвечать за взаимодействие с регуляторами и подготовку политических документов, связанных с ончейн-кредитованием. Кандидат должен обладать знаниями в области законодательства о товарах, DeFi, регулирования CFTC, а также опытом в разработке нормативных актов и написании регуляторных документов. Важны навыки работы с вопросами регулирования в FinCEN, законодательстве о ценных бумагах, SEC и Министерстве финансов США. Роль предполагает глубокое понимание ончейн-кредитования и способность вести коммуникацию с регулирующими органами для обеспечения соответствия деятельности компании требованиям законодательства.

Location: New York Workplace: OnSite ABOUT ARCA Arca is a wealth management firm built from the ground up with AI. Most people get financial advice that's reactive: an annual check-in, a plan that's a document instead of a living thing, a relationship where you're one of three hundred clients your advisor is trying to remember. We think that's backwards. The kind of service that used to require a team of specialists behind you, the kind that makes you feel like the only person in the room, should be available to far more than the ultra-wealthy. So we're building it. We're not SaaS — we are the wealth management business, rebuilding it from the inside with AI. Our platform is an Iron Man suit for advisors: it takes over the low-leverage work so they can focus on what actually requires a human, showing up with empathy, context, and judgment. Underneath, it keeps a living understanding of each client. It remembers the thing you mentioned once, six months ago. It notices when your life changes — a new job, a new kid, a market shift — and adjusts before you think to ask. You won't see the technology. You'll just notice your advisor seems to know you better than any financial professional ever has. That's the product we're growing: client by client, on the strength of the experience itself. We started by acquiring firms managing over $1B in client assets, which gave us real advisors, real clients, and real financial outcomes to build against from day one. But acquisition was the starting line. The bet is that an advisor backed by this platform delivers something good enough that clients come to us on their own. It's a $20T market, and we think it's ready to be rebuilt. — Rron, CEO THE RECEIPTS - Stage: Series A, $64M raised - Backed by: General Catalyst, Index Ventures, Venrock - Board & Advisors: Former CEO of Vanguard, Former CFO of Schwab, Founder of Altruist, Morgan Housel (author of The Psychology of Money) THE TEAM We’re small on purpose and engineering heavy: about 80% of the team is technical. We’re based in NYC and hail from high growth startups like Stripe, Ramp, Rippling, Plaid, Doordash, & Glean. We’re fully in-office in Flatiron, five days a week—lunch together, coffee breaks, basketball games, happy hours. THE ROLE As a Member of Technical Staff focused on Product Design, you'll set the vision and the look and feel of Arca from the ground up. You'll work directly with our founder and the engineering team across both sides of the product: the platform advisors work in every day, and the experience clients use to understand and manage their wealth. This is a hands-on role: you'll design, prototype, and ship, not direct from a distance. The patterns you set become the foundation every designer after you builds on. If you design it, you own it. WHAT YOU'LL DESIGN (AND OWN) - The client experience. Where clients see their full financial picture, engage with their advisor, and act on their own terms. We've never built directly for consumers until now, so you define what the experience even is, from the first touchpoint through ongoing wealth management. - Advisor surfaces. The platform advisors use every day to serve clients, built so one advisor can deliver high-touch service to far more clients than they could before. - Agentic experiences. How people work alongside agents that draft, decide, and act, including when to bring a human in and how to build trust in what the agent did. - Generative UI. Design patterns for interfaces that agents put together on the fly, and the system that keeps them coherent and predictable. - Design principles, visual language, and system. So the product feels like one thing as it grows across every firm we bring on. - Research that keeps the work honest. You sit with advisors and clients, watch where they hesitate, and bring what you learn straight back into the product. - The design function. Hiring, rituals, and craft standards as we add product and brand designers. EXAMPLE PROBLEMS YOU'D WORK ON These aren't hypothetical; we're actively working on versions of all of these. - Reviewing days of agent work without reading every step. An agent has spent three days moving a client's account transfer forward: chasing paperwork, answering emails, updating the plan. The advisor needs to review, edit, and approve that work in minutes, with confidence they didn't miss the one decision that mattered. How do you show the shape of the work, not just the log of it? - Trust in a product where an agent touches a client's money. When an agent drafts a rebalance or moves cash, the advisor and the client both need to understand what happened and why. Getting the balance right between transparency and noise is what lets us hand agents more responsibility over time. - A complex financial picture that feels calm, not like a dashboard. Accounts, taxes, estate plans, and goals, shown in a way that feels personal and clear. Most of the industry looks like beige PDFs and dense tables; the bar here is that a client feels understood, not overwhelmed. - A design system for UI that's generated, not drawn. When agents assemble screens dynamically, rendering scenarios and adjusting visualizations mid-conversation, you can't design every state by hand. You'll define the components, rules, and constraints that keep generated UI on-brand and predictable, so an advisor is never surprised by their own screen. THE KIND OF PERSON WHO THRIVES HERE You're excited by ownership, ambiguity, and building things that matter. - You set direction; you don't wait for it. You're comfortable leading through ambiguity and making calls with incomplete information, and you'd rather put a point of view on the table than wait for a spec. - You're a hands-on maker with real craft. You have senior or staff-level product design experience and a portfolio that shows exceptional, polished work. You iterate fast and still hold a high bar. - You've built from zero. You've done 0→1 product work at a startup and shipped fast. Experience at both early- and later-stage companies is a plus. - You're consumer-minded. You've designed consumer products, or consumer-focused B2B products held to the same bar. You come from design-forward companies (think Linear, Mercury, Stripe, Ramp, or Notion), or your trajectory shows the same standard. Fintech experience is a plus. - You're AI-pilled and technical enough to build. You use AI tools in your own work every day, have real opinions on what agents make possible, and are comfortable prototyping in code and talking to engineers in their language. Having designed for agents specifically is a plus. - You ground your work in users. You understand user research and know the difference between what people ask for and what they actually need. This is people's real money and their plans for their families; you design for trust, not just attention. - You're someone people actually want to be in the room with. This is a small, tight-knit team in one office, five days a week, working on problems that don't have clean answers. The people who thrive here want to argue about interaction patterns at lunch and then prototype something together in the afternoon. Kind, direct, and low-ego, you can give candid feedback without being an asshole, and you're genuinely energized by this environment (not just tolerant of it). WHY NOW IS THE MOMENT TO JOIN This is a narrow window with unusually high leverage. - We just came out of stealth, and we're growing fast. The team is intentionally small, the equity reflects that, and the ceiling is high. You'd be joining early enough that the work you do now directly shapes what the company becomes and what's possible next. - The advisor-facing product is being defined right now, by a small team that talks to advisors every day. We've just brought on our second firm—the real inflection point, where we start separating what generalizes from what was bespoke. The patterns you set become the foundation for every acquisition that follows. - The consumer product is a blank page. We've never built directly for consumers until now—no legacy, no template. Whoever takes this on defines what the experience even is. - The hard part is behind us, which means the interesting part is starting. The platform is live, the concept is proven, advisors have moved real client assets onto it. The work now is scaling a working system across four or five acquisitions this year—workflows, data, agents, reliability under real load.

Location: Ghent, Belgium D-ploy is a dynamic IT and Engineering Solutions company operating across the EMEA region, including Switzerland, Germany, Czech Republic, Austria, the UK, and the USA. We are committed to delivering reliable and efficient services to our clients through strong partnerships and a people-focused culture. We are looking for an experienced Technical Lead – Microsoft Purview & M365 Security to support the implementation of data protection and secure collaboration solutions within an international, highly regulated environment. This role is ideal for someone with strong hands-on expertise in Microsoft Purview, Microsoft 365 security and information protection, who can combine technical implementation with the ability to guide stakeholders through complex security and compliance requirements. You will take ownership of the technical delivery, working closely with project managers, business analysts, cybersecurity specialists and Microsoft 365 platform teams to design, implement and optimize information protection controls. Key Responsibilities Lead the technical design and implementation of Microsoft Purview information protection and data classification solutions. Translate data classification policies into sensitivity labels, encryption settings, external sharing controls and Data Loss Prevention (DLP) policies. Design and implement security controls for confidential and restricted information, considering their impact on external collaboration, mobile devices, partner applications and Microsoft Copilot. Configure and manage sensitivity labels, auto-labelling, DLP policies and related Microsoft 365 security settings. Plan and execute proof-of-concept activities, coordinate testing, troubleshoot technical issues and document findings. Support phased deployments of information protection policies, monitoring their impact and identifying potential risks. Develop reporting and monitoring solutions using PowerShell, Microsoft Graph and Microsoft Purview to identify sensitive content, sharing risks and compliance gaps. Establish operational procedures for monitoring, incident handling, policy exceptions and ongoing configuration changes. Collaborate with cybersecurity and platform teams to ensure a smooth transition into ongoing operations. Requirements What We're Looking For 5+ years of experience in Microsoft 365 security, compliance or information protection engineering. Proven experience implementing Microsoft Purview information protection solutions in at least two production environments with 2,000+ users. Strong hands-on experience with Microsoft Purview, including sensitivity labels, auto-labelling, Data Loss Prevention (DLP) and encryption. In-depth knowledge of Microsoft 365 collaboration and sharing configurations across SharePoint, Teams and OneDrive. Experience with Microsoft Entra ID Conditional Access, PowerShell and Microsoft Graph. Ability to assess and explain the impact of encryption and security controls on external collaboration, mobile access and Microsoft Copilot. Experience working in regulated industries, preferably pharmaceuticals, life sciences or similar environments. Microsoft SC-401 certification (formerly SC-400) or equivalent practical experience. Strong analytical, troubleshooting and communication skills, with the ability to engage both technical and non-technical stakeholders. Fluency in English. Valid criminal record extract, not older than three months, required. Nice to Have Experience developing automation scripts for large-scale data clean-up and remediation. Familiarity with Microsoft Defender for Cloud Apps. Experience identifying and remediating data oversharing risks associated with Microsoft Copilot. Benefits Broad range of tasks and responsibilities Friendly and international working environment Professional development opportunities Referral program (“Fishing for Friends”) Company-sponsored events Is IT in your DNA?

Location: Remote - United States Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Lead Forward Deployed Engineer (AI Enablement) As a Lead Forward Deployed Engineer, you will own the vision for how applied AI solves business problems at Reddit. You will identify where AI can create the most value, set technical direction, and turn that vision into production capabilities that improve how the company works across its business and technical functions like Sales, Marketing, Business Development, and Finance. This is an opportunity to shape a growing engineering practice with impact across Reddit. Working with business leaders and the AI Platform team, you will define priorities, challenge assumptions about existing workflows, and guide investments in AI applications, agents, and automations. Your decisions will connect emerging AI capabilities to measurable improvements in quality, speed, capacity, and cost. This is a senior technical leadership role with room to influence strategy, grow others, and build lasting capabilities across the company. Your impact will come from the business problems you help Reddit solve and the teams you make more effective. You will also lead through delivery: organizing  the work of engineers, mentoring engineers and technical leads, and establishing the architecture and engineering practices that help teams ship reliable solutions. You will remain hands-on in the most consequential work, using what you build and learn to shape shared capabilities that other teams can adopt. Responsibilities Build AI applications, agents, skills, connectors, and workflow automations that solve business problems at Reddit. Translate ambiguous business problems into AI-native workflows and technical delivery plans. Work closely with internal functions, embedding where needed to understand their work and build trust with champions, builders, and subject matter experts. Understand function goals, jobs to be done, workflows, systems, data, and success measures. Prototype within days and productionize priority workflows within weeks when feasible. Integrate approved data, tools, APIs, and actions into safe end-to-end workflows. Define evals, review gates, human-in-the-loop controls, observability, and evidence. Launch trusted production workflows with governance, support, reversibility, and named owners. Transfer maintainable workflows to function owners and reduce long-term dependency on the team. Return repeated needs, blockers, and infrastructure requirements to the AI Platform Hub. Turn local wins into reusable agents, skills, templates, connectors, playbooks, and platform patterns. Additional Lead Responsibilities Stay current with advances in AI models, agents, tools, and deployment practices; translate promising capabilities into Reddit’s AI strategy, roadmap, and investment priorities. Set the vision and technical direction for applying AI to business problems across Reddit; partner with business leaders and AI Platform to prioritize opportunities and scale measurable value. Organize and sequence engineers’ work, clarifying ownership, dependencies, and milestones; build shared capabilities that improve delivery. Mentor engineers and technical leads through design and code reviews, strengthening applied AI, system design, evals, and production judgment. Required Qualifications 8+ years building software, including automations, workflows, AI applications, agents, or internal tools. Strong software engineering fundamentals and production judgment; ability to work through ambiguous business and technical discovery. Experience with MCP, reusable tool integrations, and enterprise identity and access patterns. Experience integrating APIs, data systems, enterprise tools, and workflow actions. Hands-on experience building and deploying AI agents, including tool use, orchestration, state, and failure handling; production LLM experience with retrieval, structured outputs, evals, monitoring, and controls. Demonstrated technical leadership and product judgment through architecture decisions, reviews, mentoring, and influence across teams. Ability to prioritize ambiguous opportunities and communicate technical, business, and operational tradeoffs. Experience creating a component, engineering practice, or architectural pattern adopted beyond your own project. Ability to build trust with business stakeholders and establish clear decisions, responsibilities, and success measures. P referred Qualifications Experience in applied AI, forward-deployed engineering, internal platforms, or enterprise workflow modernization. Experience improving engineering practices across a team or multiple teams. Experience delivering business-critical workflows with auditability, sensitive data, or consequential automated actions. Experience measuring workflow gains in quality, speed, capacity, or cost. Experience driving AI adoption through user feedback, onboarding, and training. Benefits: Comprehensive Healthcare Benefits 401k Matching Workspace benefits for your home office Personal & Professional development funds Family Planning Support Flexible Vacation (please use them!) & Reddit Global Wellness Days 4+ months paid Parental Leave Paid Volunteer time off #LI-Remote Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $194,600 — $272,400 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.