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Location: Cairo, Egypt; Alexandria, Egypt Workplace: hybrid ABOUT THE ROLE: We are looking for a Senior Product Designer to join Yassir FS and own design for one of our core product squads — Consumer Experience (our personal banking and wallet product) or Business Domain (our merchant and enterprise banking portal). You will work closely with Product Managers, engineers, and leadership to turn complex financial flows — onboarding, KYC verification, payment initiation, merchant dashboards, and more — into experiences that are clear, fast, and trustworthy. This is a foundational hire in a young but fast-moving domain. You will help establish the design language for the Yassir FS product family, set the design bar for the team we are building, and ensure our financial experiences feel native to — and coherent with — the broader Yassir superapp. Responsibilities Own end-to-end design for a product squad — from discovery to shipped — covering consumer financial journeys or B2B / merchant experiences depending on placement. • Translate complex financial flows (KYC onboarding, payment initiation, wallet management, settlement dashboards) into interfaces that feel simple and trustworthy to users. • Partner closely with Product Managers to define design direction, challenge product assumptions, and deliver high-quality solutions against tight delivery timelines. • Design within regulatory and compliance constraints — KYC/KYB verification tiers, transaction limits, AML disclosure requirements — without sacrificing usability. • Build and maintain design components that scale across the Yassir FS product suite: consumer app (iOS + Android), merchant portal (web), and agent interface. • Produce thorough, developer-ready design handoffs and follow implementations closely to ensure quality at launch. • Present design work and rationale to product, engineering, and business stakeholders with clarity and confidence. Yassir Financial Services · Confidential • Conduct user research and usability testing; contribute insights that shape product decisions. • Mentor and review the work of junior designers; help raise the design team's craft and standards. • Champion accessibility and localisation — our users include French and Arabic speakers, and our interfaces must work correctly in both LTR and RTL layouts. • Participate in shaping the design culture, process, and standards at Yassir Financial Services. Requirements • 6+ years of experience designing digital products professionally, with a portfolio demonstrating strong product thinking, visual craft, and the ability to handle complex flows. • Experience in fintech, banking, payments, or a similarly regulated and complex product domain — strongly preferred. • Proven ability to design for complexity: multi-step financial flows, state-heavy UIs, data-heavy dashboards, and thorough error/edge-case handling. • Experience designing for iOS, Android, and web — native and responsive. • Advanced proficiency in Figma, including component architecture, auto-layout, and design token management. • Experience building and contributing to design systems at scale. • Deep understanding of iOS and Android design language, platform standards, and system behaviour. • High proficiency producing high-fidelity prototypes to communicate interaction design intent. • Strong knowledge of design principles and the end-to-end product development process. • Excellent written and verbal communication skills in English and Arabic (both required); French is a significant plus. • Comfortable in a high-ambiguity, build-from-scratch environment — you make good decisions with incomplete information and adapt quickly. • Experience designing for Arabic-speaking or French-speaking markets, including RTL layout considerations, is a strong advantage. • Degree in interaction design, computer science, or equivalent — or equivalent demonstrated experience. Previous experience at a high-growth fintech, digital bank, or payments company in MENA is an advantage. Yassir Financial Services is a young domain inside a proven superapp — which means you get the distribution and user base of an established platform, and the creative latitude of a team still writing its first design principles. This role is based in Cairo, Egypt.

Задачи: — Управление полным циклом разработки AI Agent "skills", включая предпусковое тестирование и оптимизацию качества диалогов. — Проведение исследований и анализа данных для выявления проблем в пользовательском пути и преобразование результатов в конкретные пользовательские истории. — Проектирование и проведение A/B тестов диалоговых сценариев для улучшения автоматизации и показателей удержания пользователей. — Согласование глобальных целей продукта с локальными потребностями бренда для обеспечения культурной релевантности AI-поведений в разных регионах. — Сотрудничество с инженерной и дата-сайенс командами для определения и мониторинга AI-ограничений, обеспечивающих техническую безопасность и эмпатию в крайних случаях. Требования: — Опыт работы в управлении продуктом от 2 лет, предпочтительно в AI, SaaS или электронной коммерции. — Техническое понимание работы больших языковых моделей (LLM) и моделей машинного обучения. — Аналитическая грамотность с умением переводить SQL-запросы в продуктовые инсайты. — Способность работать в быстро меняющейся глобальной среде с множеством заинтересованных сторон. — Наличие или готовность к переезду в Берлин, Германия. Плюсом: — Опыт в дизайне разговорного UI/UX. Условия: — Гибридный формат работы с посещением офиса в Берлине 2 дня в неделю. — 27 дней ежегодного отпуска с увеличением по стажу. — Бюджет на образование €1,000, языковые курсы и доступ к Udemy Business. — Медицинские обследования, медитация, абонемент в спортзал и субсидии на велосипед. — Финансовые бонусы: программа покупки акций сотрудниками, корпоративный пенсионный план, скидки на общественный транспорт. — Поддержка при переезде в Берлин.

Задачи: — Участвовать в проектах по разработке AI-ассистентов с текстовыми и голосовыми интерфейсами — Организовать и выстроить процесс тестирования AI-агентов — Организовывать и проводить различного рода тестирование (тест требований, ручное, функциональное, E2E, нагрузочное) AI-агентов на всем цикле разработки — Проводить нагрузочное тестирование, подготовку тестовых сценариев и данных — Активно использовать такие инструменты как Copilot в работе — Мониторить состояние систем и агентов на продакшн-среде, настраивать алертинг Требования: — Понимание принципов работы LLM (токенизация, промпты) — Знание архитектур AI агентов (ReAct, Tool Use, RAG, Multi-Agent) — Опыт работы с LangChain или аналогичными фреймворками — Понимание недетерминированности AI систем и методов их контроля — Опыт формирования процесса тестирования продукта с высокой нагрузкой — Написание автотестов на Python от 3+ лет — Опыт настройки CI/CD — Опыт нагрузочного тестирования на k6 или другого инструмента Условия: — Удалённый формат работы — Гибкий рабочий график, фулл-тайм (40 часов в неделю) — Задачи на стыке бизнеса и современных AI-технологий — Заключаем договор формата b2b (с ИП)

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, you’ll own entire product domains end to end. You'll work directly with our advisors, operators, and clients to understand what they need, then prototype, ship, and iterate fast. If you ship it, you own it WHAT YOU’LL BUILD (AND OWN) - Advisor and operator surfaces. The tools your colleagues use to serve clients, built so one advisor can deliver high-touch service to far more clients than they could before. This is how the firm scales without the experience degrading. - Consumer portals. Where clients interact with their advisor, see their full financial picture, and engage on their own terms. This is also our organic growth engine: the surface that turns a good experience into clients who come to us on their own. - The AI that powers all of it. From the tools and skills agents use, to how those agents are embedded in the product itself. This is the layer that makes the other three feel intelligent rather than just digital. EXAMPLE PROBLEMS YOU’D WORK ON These aren’t hypothetical; we’re actively working on versions of all of these. - A research agent advisors actually trust. An advisor prepping for a client meeting needs to know how a pending divorce affects an estate plan, cross-referenced with tax law and the client's portfolio. The agent has to search proprietary data, integrations, and the web, then synthesize something the advisor can act on without second-guessing. "Close enough" isn't acceptable here. The hard part is building a system that knows what it doesn't know, and surfaces that uncertainty in a way that builds trust, under real constraints: compliance, auditability, and datasets where a stale answer is as harmful as a wrong one. - Generative UI that doesn't break the advisor's flow. Our agents view and update the advisor's frontend in real time: dynamic scenarios, interactive plan adjustments, visualizations that shift as the conversation does. The challenge is ensuring agents can reliably render and manipulate our pages without feeling unpredictable. An advisor mid-call can't be troubleshooting their UI. - An agentic planning engine that earns trust over time. A client about to retire wants to know if they can help their kids with a down payment. The agent has to hold a continuously updated model of each client's situation, surface the right adjustments at the right moment, and explain its reasoning in terms the advisor can relay in plain English—getting more accurate the longer it knows someone. - A migration engine that makes every acquisition possible. Every firm runs on something different: a CRM last updated in 2011, a proprietary custodian export, a decade of notes in a shared folder. The engine has to ingest all of it and produce data clean enough to power the models we build on top. Get it wrong and the personalization doesn't work. Data quality is the moat; migrations are how we grow. THE KIND OF PERSON WHO THRIVES HERE You’re excited by ownership, ambiguity, and building things that matter. - You're unusually good at understanding users and willing to act on it. You'd rather sit next to an advisor during a client call, watch where they hesitate, and come back with a point of view than wait for a PM to hand you a spec. You know the difference between what users ask for and what they actually need. - You're ambitious in a way specific to this work. You're building for people who manage real retirement savings and estate plans. "Good enough" means something different here. You'll rebuild something that works because you know it won't hold through the next acquisition—and that standard motivates you more than shipping faster than last sprint. - You move fast, and you know speed and reliability aren't in tension here. Advisors depend on what you build every day. Breaking prod isn't something you wait until Monday to fix. - 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 product direction at lunch and then build 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: 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, with another 16 across our Wealth org, 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 Wealth Advisor, you own the client relationship end to end — the planning, the advice, the trust built over years. What's different here is what you don't have to do. The platform takes the busywork that eats most advisors' days, so your time goes where it matters: sitting with a client, understanding what they're actually worried about, and coming back with advice that fits their life. And the clients are coming — we're ramping marketing, inbound is about to grow fast, and your job is to meet it. You'll work out of our NYC office, next to the engineers building the tools you use. That's not a perk, it's the job. You're one of the first advisors on the platform, which means you shape it: you give product and engineering the unvarnished advisor's view of what's slow, what's missing, and what would make you faster, and you watch it get built. The better the experience you deliver, the more clients come to us on their own — and what works for your clients becomes the playbook for every advisor after you. WHAT YOU'LL OWN - The client relationship. You're the primary advisor for high-net-worth clients who find us through marketing — the person they call, the one who knows their whole financial picture and what they're trying to do with it. - Comprehensive planning. Retirement, tax strategy, equity compensation, cash flow, investments — the full plan, not a slice of it. Many of these clients have complicated compensation (stock options, RSUs, concentrated equity) that takes real expertise to handle well. - Shaping the platform. You sit with engineering and product and tell them the truth about what advisors actually need. You have direct influence over what gets built and in what order. - Growth that compounds. As marketing fills the funnel, you turn inbound interest into long-term relationships — and the patterns you set become the foundation every advisor after you builds on. THE KIND OF PERSON WHO THRIVES HERE You're excited by ownership, ambiguity, and building things that matter. - You're a real planner, not a salesperson with a CFP. You've spent 5-10+ years advising high-net-worth clients and you think in plans, not products — retirement, tax, cash flow, the whole picture. You've handled the complicated cases: stock options, RSUs, concentrated equity, the comp structures that take real work to get right. CFP® (or well on your way) and Series 65 (or able to get it). - You actually want the technology to be good. Most advisors treat their tools as something to tolerate. You're the opposite — you're genuinely curious about what AI can take off your plate, and you'd rather tell an engineer exactly what's slowing you down than work around it for another year. You don't need to write code; you need strong opinions and the willingness to share them. - You build trust because the stakes are real. This is people's retirement, their kids' futures, the plans they've made for their families. You earn that over time through advice that holds up and communication that doesn't make them chase you. "Good enough" means something different when it's someone's life savings. - You're energized by a funnel that's about to open up. Inbound is ramping fast, and that's the appeal, not the stress. You want to grow a book, and you'd rather build the relationships that come to us than spend your nights prospecting. - 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. 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: 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 Corporate Development focused on M&A, you're a key part of Arca's growth engine. We grow by acquiring RIAs — typically ~$500M-to-$2B+ AUM firms led by a founder thinking carefully about their next chapter — and putting our platform underneath them. Your job is to find those firms, build real relationships with the people who run them, and carry deals from the first coffee to close. For a founder deciding what happens to the firm they spent a career building, you're the person they come to trust to get them there. This is a high-ownership seat with a direct line to the Head of M&A and senior leadership. You own relationships, you shape the pipeline, and you see your work in every firm we bring on. Acquisition is how the whole company grows, so the deals you close set the pace for everything else. WHAT YOU'LL OWN - Sourcing and relationships. You cultivate proprietary relationships with RIA founders and principals, building a pipeline of ~$500M-to-$2B+ AUM targets and becoming someone they trust long before they're ready to transact. The long game is the job. - Deals, end to end. Outreach, qualification, valuation, diligence, structuring, close. You don't hand a deal off at some stage — you carry it through. - The analysis behind the call. You build the financial models and valuation work that shape deal terms and the go/no-go decisions, and you have a real point of view on what a firm is worth. - Diligence across the company. You coordinate workstreams across finance, legal, compliance, and operations to get deals over the line. - The acquisition playbook. As we scale to four or five acquisitions this year and more after, you sharpen how we source and how we close — your fingerprints on how the company grows. THE KIND OF PERSON WHO THRIVES HERE You're excited by ownership, ambiguity, and building things that matter. - You source deals and close them. You've spent 2+ years in private equity or corporate development with hands-on experience finding and evaluating acquisition targets — not just modeling deals someone else sourced. You know what a real pipeline looks like and how to build one. - You play the long game with founders. You're a people person, and you mean it — you're energized by building relationships and earning trust over months, not transactions. A founder deciding the fate of their firm can tell the difference between someone who's there to help and someone who's there to close, and you're the former. - You can read a firm and price it. Sharp financial modeling, valuation, and analytical skills, paired with the commercial judgment to know what the numbers actually mean for a deal. - You're a self-starter who finishes. You take ownership, move fast, and don't wait to be told what to do. In an early-stage company where a lot of the playbook isn't written yet, you write it. - You're AI-pilled and curious about this industry. You're excited by what AI makes possible and by the chance to help rebuild wealth management with it. Familiarity with the RIA or wealth management landscape is a plus, not a requirement. - 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. 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.

Задачи: — Определять видение продукта и дорожную карту для Agentic IDEs и CLI с целью перехода команд на AI-управляемую генерацию функций. — Проводить глубокие исследования пользователей по всему миру для выявления проблем в опыте разработчиков. — Определять и отслеживать метрики успеха, включая скорость PR, время выхода на рынок и соотношение кода, написанного человеком и AI. — Сотрудничать с инженерной командой для приоритизации интеграций внутренних источников данных в агентскую экосистему. — Руководить стратегиями выхода на рынок и внутреннего внедрения, включая программы повышения квалификации и обратную связь. — Согласовывать с техническим руководством соответствие агентского стека стандартам безопасности, надежности и масштабируемости. Требования: — Опыт в управлении продуктом, желательно в области инструментов для разработчиков, внутренних платформ или B2B SaaS. — Глубокое понимание современных рабочих процессов разработки, включая Git, CI/CD и среды IDE. — Базовое понимание больших языковых моделей и агентских рабочих процессов. — Умение принимать решения на основе данных для приоритизации задач и стимулирования внедрения. — Способность понятно и убедительно доносить технические концепции до различных заинтересованных сторон. — Обязательное проживание или готовность к переезду в Берлин для гибридной работы. Условия: — Гибридный формат работы: 2 дня в неделю в офисе в Берлине. — 27 дней ежегодного отпуска с увеличением в зависимости от стажа. — Годовой образовательный бюджет 1000 € и доступ к Udemy Business. — Комплексные медицинские льготы, включая обследования, субсидии на спортзал/велосипед и поддержку медитации. — Финансовые бонусы: программа покупки акций сотрудниками, корпоративная пенсия, скидки на общественный транспорт. — Цифровые обеды и корпоративные скидки на питание.

Location: Georgian office About Lineate Lineate is a US-based international software development company with over two decades of experience. From Intelligent Document Processing(IDP) and Agentic RAG systems to scalable cloud architectures, we turn complex ideas into real, measurable results. We deliver AI-driven custom solutions for FinTech, HealthTech, AdTech, and beyond, empowering businesses to grow smarter, faster, and more efficiently. Our expertise falls into three main categories: Building Custom AI Solutions: Deploying high-impact, AI-enabled technology utilizing IDP, Agentic RAG. Cloud and Data Infrastructure: Optimizing business operations with our data management and cloud computing solutions. Team Augmentation: Providing specialized experts in FinTech, AdTech, and HealthTech to integrate seamlessly and accelerate project timelines. Our goal is not just to build technology, but to build the future operating model for our clients. Role Summary The Infrastructure Engineer is responsible for the reliability, security, and continuous improvement of Lineate and customer infrastructure across cloud and on-prem environments. The role combines hands-on SRE/DevOps work — automation, observability, incident response — with support engineering for production systems. The engineer is expected to operate independently on most tasks, and drive infrastructure and tooling improvements, including the use of AI agents to automate routine operational work Accountable for • Reliability, availability, and performance of Lineate and customer production systems in accordance with agreed SLOs and support SLAs • Design, automation, and continuous improvement of cloud and on-prem infrastructure • Timely and high-quality response to incidents and escalated support requests • Security, compliance, and cost-efficiency of the infrastructure under the team's ownership • Day-to-day operations of the infrastructure owned by the team Main Responsibilities • Participate in a 24/7 shift schedule • Monitor systems and respond to automated alerts in line with Lineate support SLAs Diagnose and resolve system problems • Operate Kubernetes workloads and Databricks resources by following team playbooks and runbooks • Perform routine system administration on Linux and Windows servers • Respond promptly and professionally to customer inquiries via Slack, email, or Zendesk • Document, categorize, and prioritize incoming support requests • Communicate the status of open requests clearly and regularly to customers • Identify and implement automation opportunities, including AI-agent-driven automation of routine operational tasks (ticket triage, runbook execution, log analysis, knowledge-base maintenance) • Drive incident resolution by coordinating triage, implementing mitigation measures, conducting root cause analysis, and leading post-incident reviews • Maintain and improve runbooks, playbooks, FAQs, and internal knowledge bases • Implement and improve observability: metrics, logs, traces, dashboards, alerting, and SLO tracking • Contribute to CI/CD pipelines and basic infrastructure automation • Follow basic information security practices (IAM, secrets handling, least privilege) • Participate in the improvement of support and infrastructure processes Necessary Qualification s: • Minimum 3 years of hands-on Linux system administration experience (required) • Minimum 2 year of hands-on experience with AWS in a production environment (required) • Working familiarity with Kubernetes — able to operate workloads, read logs, and perform standard actions by following playbooks (deep cluster-design expertise not required) • Working familiarity with AWS Databricks — able to run jobs, manage clusters, and troubleshoot using existing playbooks (deep platform expertise not required) • Practical experience using AI agents / LLM-based tooling (e.g., Claude, ChatGPT, MCP-based agents, Cursor, Copilot) to automate operational, scripting, or support tasks • At least 1 year of Windows system administration experience • Practical scripting skills in at least one of Python, Bash, Go (1+ years of practical use) • Ability to maintain existing pipelines in CI/CD tools such as Jenkins, GitHub Actions, GitLab CI, or equivalent • Proficiency with Git and standard version-control workflows • Hands-on experience with Docker and container workflows • Experience managing and maintaining production IT infrastructure • Comfortable working with a broad range of open-source technologies and tools Preferred: • Infrastructure as Code: Terraform (preferred), Ansible, or CloudFormation • Observability stack: Prometheus, Grafana, ELK/Loki, Datadog, CloudWatch, or equivalent—including building dashboards and alerts • Networking fundamentals: TCP/IP, DNS, HTTP(S), TLS, VPN, load balancers, VPC design ,basic firewall and routing • Cloud security: IAM, KMS, secrets management (AWS Secrets Manager, HashiCorp Vault), least-privilege design, audit logging • Database operations: PostgreSQL, MySQL, or Redis — backups, restores, basic tuning, monitoring • Incident management practices: on-call rotations, runbooks, SLI/SLO/SLA, blameless postmortems • Familiarity with data-platform concepts: Spark/PySpark basics, ETL pipelines (in the context of Databricks) • Experience writing and maintaining MCP servers, prompt-based automations, or AI-driven runbooks is a plus Exposure to GCP or Azure in addition to AWS We offer Freedom to Develop - equal opportunity to learn and grow professionally Clear career and professional path, strong performance management system Social Benefits Package Equipment English lesson Gym membership All the advantages of working in an international IT company Flexible vacation time Fun and inclusive in-person and digital events Lineate is proud to be an Equal Opportunity Employer - We do not hire on the basis of race, colour, religion, creed, gender, national origin, citizenship, age, disability, veteran status, marital status, pregnancy, parental status, sex, gender expression or identity, sexual orientation, or any other basis protected by Georgian legislation. All employment is decided based on qualifications, merit, and business ne ed. Learn more about Lineate at our website: www.lineate.

Location: Krakow, Poland; Krosno, Poland; Lublin, Poland; Poland; Poznan, Poland; Warsaw, Poland; Pilsen, Czechia; Praha, Czechia; Riga, Latvia; Vilnius, Lithuania; Athens, Greece; Crete, Greece; Budapest, Hungary; Miskolc, Hungary; Brussels, Belgium; Liège, Belgium; Mons, Belgium; Namur, Belgium; Sofia, Bulgaria; Bordeaux, France; Grenoble, France; Lille, France; Lyon, France; Montpellier, France; Nantes, France; Paris, France; Toulouse, France; Baden-Baden, Germany; Bad Homburg, Germany; Augsburg, Germany; Aachen, Germany; Bergisch Gladbach, Germany; Berlin, Germany; Bernau, Germany; Bielefeld, Germany; Bramsche, Germany; Chemnitz, Germany; Darmstadt, Germany; Dresden, Germany; Dusseldorf, Germany; Düsseldorf, Germany; Essen, Germany; Frankfurt, Germany; Freiburg, Germany; Geoergsmarienhütte, Germany; Görlizt, Germany; Göttingen, Germany; Greifswald, Germany; Halle, Germany; Hamburg, Germany; Hannover, Germany; Heinsberg, Germany; Karlsruhe, Germany; Kiel, Germany; Koln, Germany; Leipzig, Germany; Leverkusen, Germany; Lingen, Germany; Magdeburg, Germany; Mainz, Germany; Mittenwalde, Germany; Munich, Germany; Münster, Germany; Neu-Ulm, Germany; Neuruppin, Germany; Neuss, Germany; Nuremberg, Germany; Osnabrück, Germany; Paderborn, Germany; Potsdam, Germany; Quedlinburg, Germany; Rimbach, Germany; Rostock, Germany; Schwerin, Germany; Stuttgart, Germany; Ulm, Germany; Varel, Germany; Viechtach, Germany; Warendorf, Germany; Wiesbaden, Germany; Wuppertal, Germany; Lisbon, Portugal; Porto, Portugal; Zagreb, Croatia; Sarajevo, Bosnia and Herzegovina Workplace: remote At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking an Senior AI DevOps / LLMOps specialist to join one of our clients ' teams. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you. Key Responsibilities Automation of Build-to-Production - Design and implement robust CI/CD pipelines tailored for AI, covering model weights, dataset versioning, and application code. - Develop specialized workflows for PromptOps, ensuring that system prompts are version-controlled, tested for regressions, and deployed with the same rigor as traditional code. -Automate the deployment of Agentic workflows, managing the complexities of stateful AI interactions and multi-agent handoffs. 2. AI Infrastructure as Code (IaC) - Provision and manage high-performance compute environments (GPU clusters, TPU pods) using Terraform, Pulumi, or Ansible. - Define and enforce Policy-as-Code for AI endpoints to ensure compliance with security, cost-usage limits, and data residency requirements. - Maintain a consistent environment across Hybrid Infrastructure, ensuring seamless parity between On-Premises development and Cloud production. 3. Safe Experimentation & Controlled Releases - Architect Progressive Delivery strategies for AI, including Canary releases, Blue-Green deployments, and Shadowing (where new models run in parallel with production to compare outputs). - Build “Evaluation-in-the-Loop” gates within the pipeline to automatically test for bias, hallucination, and performance degradation before a release. - Implement A/B testing frameworks specifically designed for LLM outputs and agentic behavior. 4. Monitoring & Observability - Establish deep observability into Inference Endpoints, tracking metrics like tokens-per- second, latency, and drift in model accuracy. -Integrate feedback loops that capture production “edge cases” to feed back into the training and fine-tuning pipelines. Must-Have Technical Skills: -Orchestration: Advanced Kubernetes (K8s) skills, specifically with KubeFlow, Ray, or NVIDIA Triton. -CI/CD & IaC: Expertise in GitHub Actions/GitLab CI, and Terraform or Pulumi. - AI Tooling: Experience with Weights & Biases, MLflow, LangSmith, or Arize Phoenix. -Hardware: Understanding of GPU virtualization, CUDA drivers, and on-premises hardware management. -Security: Familiarity with Open Policy Agent (OPA) and secret management (Vault). Experience: - 10+ years in DevOps, SRE, or Cloud Engineering. - 2+ years of hands-on experience in MLOps or LLMOps, specifically moving LLMs from notebook to production. -Proven experience managing Hybrid Cloud environments (e.g., AWS/Azure + Private Data Center).

Location: Barcelona; Madrid; Warsaw; Tallinn; Helsinki; Stockholm; Berlin; Tbilisi; Amsterdam; Krakow; London; Kiev Workplace: Remote ABOUT VOODOO Voodoo is a consumer tech company founded in Paris in 2013, with one mission: entertain the world. Today we are 1,000 people, generating $1b+ in annual revenue, profitably. Our games and apps have passed 7 billion downloads and reach 200 million+ active users every month, making Voodoo the #3 mobile publisher worldwide in downloads, after Google and Meta. We were backed by Goldman Sachs, Tencent and GBL along the way. This position is fully remote as long as you can work within CET ±5h CET. TEAM Our Gaming team is made up of hybrid-casual, casual, and mid-core experts. Our 'Core' games team supports internal and external studios worldwide in creating, developing, and launching new hit games, whilst our 'Live' games team focuses on delivering higher engagement on our existing and successful games. Joining our Live games team means collaborating with gaming industry experts on globally renowned, enduring games while embracing exciting new entrepreneurial ventures. With over seven billion downloads worldwide and a portfolio of more than 10 resilient hybrid games generating more than $20m per year, we are the world's largest and most successful hybrid publisher. You will be joining the Midcore team from Live Studios. Our main mission is converting hypercasual titles into deep midcore games. The studio is also working on Ball Blast https://play.google.com/store/apps/details?id=com.nomonkeys.ballblast&hl=en, Sniper Siege https://play.google.com/store/apps/details?id=com.tapped.snipersiege&hl=en, Epic Plane https://play.google.com/store/search?q=epic+plane+evolution+2&c=apps&hl=en, Gear Fight https://play.google.com/store/apps/details?id=com.EternalStudio.GearFight&hl=en, Archery Clash https://play.google.com/store/apps/details?id=archery.clash.tournament&hl=en&pli=1, Path of Kings https://play.google.com/store/apps/details?id=com.TornadoBear.WayofKings&hl=en & Monster Survivors https://play.google.com/store/apps/details?id=games.rivvy.monstersurvivors&hl=en. ROLE As Product Lead, you will be one of the key product leaders of the studio, working closely with the Studio Director, Creative Director and the Production team to shape and execute the product vision for the game. You will: - Define and refine the product strategy and roadmap in collaboration with the studio team. - Own prioritization and planning across key product areas (core gameplay improvements, meta progression, monetization, LiveOps). - Create clear product specifications for new features, improvements, systems and experiments. - Build and manage the A/B testing roadmap and ensure data-driven decision making. - Work closely with Game Design on progression, economy, balancing, competitive systems, player goals and long-term motivation. - Collaborate with the Creative Director to ensure that product direction supports both the gameplay vision and business objectives. - Partner with Analytics to monitor performance, understand player segments, diagnose problems and identify growth opportunities. - Act as a decisive product leader with a General Manager mindset, taking ownership of product, business and team-level decisions. - Balance strategic vision with hands-on execution. PROFILE - 5+ years of experience in product management or lead game design roles within the mobile gaming industry. - Proven experience scaling mobile games, launching major features or improving key KPIs is a strong plus. - Experience with action, PvP, competitive or skill-based games is highly valued. - Hands-on game design experience (especially around progression, economy, balancing, or player motivation), would be a significant advantage. - Strong experience working on live mobile games, ideally with midcore or hybrid-casual-to-midcore products. - Deep understanding of F2P game loops. - Proven track record of owning product strategy, roadmap, prioritization and feature delivery for successful mobile games. - Strong hands-on approach with the ability to balance strategic thinking and day-to-day execution. - Excellent analytical skills and strong experience making data-driven decisions. - Experience defining and running A/B tests, interpreting results and translating insights into product decisions. - AI-first mindset: Comfortable using AI daily and building custom agents or reusable automations to speed up your work. - Excellent communication skills with the ability to influence, align and convince stakeholders. - Strong ownership, high energy, collaborative mindset and ability to handle broad responsibilities beyond a narrow product scope. - Fluent in English. BENEFITS - Best-in-class compensation - Other benefits according to the country you reside

Location: South Africa; Egypt; Ethiopia; Morocco; Jamaica; Philippines About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups and established businesses in SaaS, MarTech, FinTech, and EdTech. Unlike traditional outsourcing, you’ll be placed directly with a client as a core member of their team—giving you real ownership, career progression, and long-term stability. Role Type: Full-time Engagement: Independent Contractor About the company Our client is a fast-growing cybersecurity firm specializing in the intersection of AI governance and advanced threat protection. Operating as both a strategic partner for enterprise CISOs and a go-to-market engine for security startups, the team provides a sophisticated suite of solutions including agentic workflow security, browser-based GenAI DLP, and automated pentesting. They focus on helping organizations across the UK and Europe navigate the modern threat landscape by implementing guardrails for emerging technologies while streamlining compliance for frameworks like DORA and ISO 27001. This innovative company bridges the gap between cutting-edge security technology and real-world enterprise needs. By vetting and deploying elite solutions—ranging from deception-based honeypots to intent-based email security—the team ensures businesses remain resilient against next-gen risks. With a high-performance culture centered on hands-on execution and technical excellence, they offer a unique environment where employees can work at the forefront of AI security and European market expansion. Job Summary As enterprises rush to deploy GenAI and agentic AI workflows, the need for robust security has never been higher. This company acts as the specialist bridge between cutting-edge AI security innovators and the global enterprises that need them. We are looking for a high-energy, independent Mid-Level SDR to join a growth-stage team with established processes. This is a high-volume, high-reward role designed for someone who thrives on the phones and wants to transition into a closing role within 4 to 6 months. Key Responsibilities Execute high-volume outbound prospecting, making 100-300 calls daily via a dedicated dialing platform. Identify and qualify new business opportunities to maintain a target of 7 qualified meetings per week (minimum 20 completed meetings per month). Own the front-end of the sales cycle, including lead sourcing, territory planning, and pipeline management. Utilize LinkedIn Sales Navigator and Microsoft Office to research and engage key decision-makers in the cybersecurity and AI space. Manage a territory independently, ensuring a consistent flow of qualified leads for the sales team. Requirements Experience: Proven track record in SaaS or Tech sales. Skills: Expertise in lead sourcing, qualification, and territory planning. Tools: Mastery of Microsoft Office and LinkedIn Sales Navigator is a must. Communication: Fluent in English with strong verbal and written communication skills. Driven Personality: A self-starter who is comfortable with high-volume dialing and performance-led targets. Nice-to-Haves 1+ year of previous SDR experience with demonstrable success metrics, ideally within the cybersecurity sector. Familiarity with Apollo.io. Multilingual capabilities in German, Spanish, or French. Benefits 🌎 Fully remote role with flexible working hours 🚀 Work with high-growth international companies 🎯 Performance-based bonuses and incentives 🧠 Ongoing training, mentorship, and sales development support

Location: San Francisco Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW As a Product Data Scientist, you will be a core member of Harvey's product development organization and one of the foundational members of the Data Science function. You will partner with Product, Engineering, Design, Go-to-Market, and company leadership to define how we measure product success, understand user behavior, and make high-quality decisions in a fast-moving environment. This role is both strategic and hands-on. You will define north-star and product-level metrics, design experiments and causal analyses, build source-of-truth reporting, and turn ambiguous product questions into clear recommendations. You should be comfortable operating where the data is imperfect, the product is evolving quickly, and the right answer requires both analytical rigor and strong product judgment. WHAT YOU'LL DO - Embed with Product and Engineering teams as a trusted analytical partner, identifying opportunities to improve user experience, adoption, retention, and business impact. - Define and maintain core metrics that create a shared understanding of product performance and customer value. - Design and evaluate experiments, including A/B tests and causal inference methods, to measure the impact of product, model, and workflow changes. - Analyze product usage, customer segments, and go-to-market signals to surface insights, size opportunities, and inform roadmap decisions. - Build dashboards, reports, and self-serve tools that help teams answer product questions with confidence. - Develop models, forecasts, and analytical frameworks to explain user behavior, detect anomalies, and guide prioritization. - Translate complex analyses into clear recommendations for technical, business, and executive audiences. - Partner with Engineering and Data teams to improve the infrastructure that powers analytics, experimentation, and decision-making. - Establish the standards, practices, and culture for Product Data Science at Harvey. WHAT YOU HAVE - 5+ years of experience in data science, product analytics, economics, statistics, or another quantitative field, ideally in a high-growth product company, AI company, research organization, or similarly ambiguous environment. - A strong track record of using SQL, Python, and statistical methods to answer product questions and turn analysis into product or business impact. - Experience defining new metrics and measurement frameworks from scratch, especially for products where usage patterns, customer value, or success criteria are still being discovered. - Deep fluency in experimentation, causal inference, A/B testing, and statistical modeling, with good judgment about when precision matters and when directional clarity is enough. - Strong product instincts and curiosity about how users adopt, evaluate, and expand their use of AI-enabled workflows. - Excellent written and verbal communication skills, including the ability to influence Product, Engineering, Go-to-Market, and executive stakeholders through clear reasoning and compelling data stories. - Comfort creating structure in fast-moving, ambiguous environments and raising the quality of decision-making for the teams. Bonus - Experience with AI/ML products, large language models, developer tools, enterprise software, or products used in complex professional workflows. - Experience as an early data science or analytics hire at a hyper-growth startup, including helping define team norms, tooling, and best practices. - Experience supporting enterprise or B2B products, including analysis of adoption, engagement, retention, expansion, or go-to-market motion. - Familiarity with modern data infrastructure and the practical tradeoffs involved in building reliable analytics in a rapidly evolving product environment. COMPENSATION $155,000 - $260,000 DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-SB1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: Remote (USA) Product Strategist At Livefront, we help companies design and build world-class digital products that command attention and inspire joy. We’ve helped household names like CVS, Samsung, General Mills, and Optum create experiences that have reached millions of people, and startups like HomeSpotter and Credly build entirely new businesses that challenge their industries’ status quo. We’re looking for an outstanding Product Strategist to join our team. Who you are It’s not just about the technology for you, but rather how novel technology can be exploited to forge new business opportunities and make people’s everyday lives better. You have a keen eye for compelling experience design and recognize its power when paired with ambitious service design. You are able to skillfully align the right technologies with the right problems, and you aren’t afraid to make shrewd prioritization when needed to keep moving forward. You know how to take ambiguity and turn it into action, earning buy-in from even the most skeptical stakeholders along the way. Your superpower is your ability to inspire, influence, and compel efforts across disciplines and organizational structures. You're just as comfortable designing the strategy for a product as you are doing the heavy lifting to make it come to life. You can navigate complex and politically-charged discussions and decisions. What you will be doing Craft compelling product visions that inspire and guide our clients. Formulate detailed product strategies that are tightly aligned with overarching client business objectives and effectively address the diverse needs of target users Execute comprehensive market and user research initiatives using a combination of qualitative techniques, such as interviews and focus groups; and quantitative methodologies, including surveys and data analysis. Conduct competitive or peer analysis of the digital experiences within a given industry or category, developing an original point of view to be shared with our clients. Collaborate closely with Livefront’s business development team on new business pursuits, providing subject matter experience and perspective throughout the pre-sales process. Incorporate AI into the discovery process, exploring and executing on ways to increase your leverage as a Product Strategist through the use of agentic tools. Identify opportunities within the client ecosystem to leverage technology for new product features, improved user experiences, and improved business outcomes. Inform strategic decisions with insights on user behavior, market trends, and competitive landscapes. Lead co-creation sessions and workshops with cross-functional teams to generate innovative product ideas. Effectively lead and guide client teams through the often messy and complex process of early-stage product development Facilitate collaborative discussions and decision-making to ensure alignment and buy-in on the most impactful features that should be developed and launched. Guide and instruct client teams on what is needed (by way of decisions, process, and resources) to take a new product concept from idea to launch. Why you should apply You want to be at the center of the strategic apex of where products are planned and defined before coming to market. You are energized by the opportunity to contribute to a growing business and work closely with the business development function. You want to work with passionate and talented people who are always looking for ways to make things better. You desire a work environment where respect, mutual trust, and egoless collaboration are paramount. You want colleagues who take their work seriously but not themselves, and who know how to let loose and have a good time. You like being part of a team with a reputation for excellence that gives back to the community by educating, mentoring, and sponsoring. You want to work on products and accounts that have outsized impact and reach. You believe in sweating the details, giving a damn about quality, and taking pride in going the extra mile. What you bring to the table At least 5-10 years of relevant experience, ideally in a consulting environment or as part of an in-house, cross-functional product team. Experience launching and bringing new consumer-facing digital products to market at scale. Experience consulting enterprise clients on digital product strategies and execution. Strong versatility and experience with products across multiple digital platforms, including iOS, Android, Web, TV, Auto, Voice, Wearables, IoT, and other smart devices. Fluency with basic data analysis techniques: bi-variate analysis, cross tabulation, distributions. Familiarity with business and product management frameworks, including but not limited to: Jobs to Be Done, Hook, Kano, Design Sprint, Design Thinking, User Journey Mapping, Traction, and others. Excellent communication skills and a strong ability to present and defend strategic choices persuasively. Experience gathering and synthesizing both qualitative and quantitative data to uncover new insights about user behavior and business opportunity. Mastery of modern product management best practices. Above-average discipline and personal organization skills. A demonstrated hunger for personal and professional growth. A self-evident love and care for the craft of creating digital experiences Bonus points if you… Write and/or speak publicly about topics related to product strategy, technology, design, and consumer behavior. Have experience with business or product strategy consulting. Have experience with business development or account management. What to expect When applying, please include a short note about yourself, a summary of your work experience, and a link to any public profiles you actively maintain (e.g., GitHub, LinkedIn, etc). Our hiring process moves quickly and consists of several stages for candidates who capture our attention with their initial submission, sometimes including but not limited to a short preliminary phone interview, a series of video interviews, and a short take-home exercise, which you'll have up to a week to complete. Compensation is $120,000 - $145,000 Additional information We go out of our way to evaluate all employees and job applicants equally based on merit, competence, and qualifications. We encourage candidates from all backgrounds to apply and consider all qualified applicants. Don't worry, every application will be reviewed by a human.

Location: United States (Remote) Workplace: Remote DIRECTOR OF ENGINEERING, COMPUTE Companies at the frontier of the AI revolution run on Temporal. OpenAI runs on Temporal, handling millions of requests. Cursor runs its cloud coding agents on Temporal at over 50 million actions a day across 7M+ workflows, and more than a third of the pull requests its users merge now come from those agents. Lovable, Abridge, and Hebbia build their agents on it too. In the last year alone, AI-native companies executed 1.86 trillion actions on Temporal Cloud, and the curve is still bending upwards. Backed by a recent $550M Series E at a $12.55B valuation, we are building the durable execution layer the agentic era depends on. The Compute team owns the layer all of that runs on. We are looking for a Head of Engineering to lead the effort to make any aspects of Temporal's compute invisible to our customers, allowing them to focus on application layer innovation, while we handle the compute muck. This is a rare, build-the-foundation mandate: the compute substrate that the world's most demanding AI workloads will run on. We want a leader who has operated compute at planet scale, thinks in fleets, goodput, and cost-per-unit-of-compute, and pairs that with the operational rigor to run a service that frontier-AI companies bet production on. WHAT YOU'LL DO - Strategic direction for Compute: Own the strategy and standards of excellence for the compute layer that the world's agents run on, across design, delivery, and operations. Build a culture of ownership, quality, and customer-first decision-making. - Technical leadership: Lead, hire, and grow a high-ownership team; roll up sleeves, ready to do deep into the trenches, by staying close to design docs and code, rather than managing from a distance. Coach engineers, level them up, and clear the friction that slows them down. - Roadmap & trajectory: Drive the arc from today's compute toward the next-generation of compute platforms. Ground prioritization in customer and design-partner feedback, and turn ambiguous, fast-moving requirements into predictable, iterative delivery. - Operational excellence: When you run frontier AI in production, reliability is the product. Own operations, run on-call and incident response, and drive blameless postmortems and the systemic fixes that prevent recurrence. - Technical depth: Guide the hard architectural decisions for large-scale, multi-tenant compute, where technical concerns cut across workload isolation and security, scheduling, fleet efficiency / utilization / goodput, and performance, while ensuring the platform is reliable and efficient for the workloads that depend on it. - Capacity, supply & economics: Own utilization, capacity and supply planning, and the cost-per-unit-of-compute and margin profile of the fleet, across CPU compute today and accelerated compute ahead. - Cross-team & customer execution: Partner with leadership, Product, SDK, UX/DX, Security, and design-partner customers to align priorities and unblock delivery. Communicate progress, tradeoffs, and risk clearly to technical and non-technical audiences alike. WHAT YOU'LL BRING - Proven experience leading software engineering teams that build and operate large-scale compute platforms or fleets, with strong operational practices. - 15+ years in software and/or infrastructure engineering, including 10+ years of people management and demonstrated ownership of delivery and live-site outcomes. - Deep distributed-systems and compute infrastructure depth, with the hands-on judgment to guide architecture and execution rather than from a distance. - Experience operating multi-tenant compute that other people's production workloads depend on. - Bachelor's degree in Computer Science or related field, or equivalent practical experience; advanced degree a plus. - Excellent communication skills, with the ability to partner across engineering, product, and leadership and fold customer feedback into the roadmap. - Strong leadership, coaching, and performance management; ability to grow engineers and build a healthy, accountable, high-ownership team. - Excellence in execution: planning, prioritization, and delivering iterative milestones in an ambiguous, fast-moving environment while managing unplanned work. - Fleet thinking: utilization, goodput, capacity and supply planning, and cost discipline as first-class engineering concerns. - Live-site reliability craft: on-call, incident management & response, and postmortem-driven continuous improvement. - Strong command of the building blocks of a compute platform: multi-tenant isolation and security, scheduling, and resource management. - Ability to review and raise the bar on technical artifacts (design docs, code reviews) across a distributed-systems codebase. NICE TO HAVE - MicroVMs and virtualization (Firecracker, gVisor, Edera) or managed-compute primitives (AWS Fargate, GCP Cloud Run, AWS Lambda), and/or Kubernetes internals. - Building serverless or hosted-compute products from 0 to 1, including the rapid-delivery-vs-durable-platform tradeoffs that come with it. - Multi-cloud delivery across AWS and GCP. - Cold-start, warm-pool, and scheduling/latency optimization for on-demand compute. - Agent sandboxes, secure execution of untrusted code, or other AI-agent infrastructure. - GPU / accelerated compute: fractional GPUs (MIG, MPS, time-slicing), GPU scheduling, training vs. inference fleets, and multi-tenant GPU isolation. --- The ideal candidate is a strategic thinker with a hands-on approach, energized by building the compute foundation the AI era runs on. They are comfortable shaping a space that doesn't fully exist yet, obsessed with reliability when customers bet production on it, default to working backwards from customers, and balance the speed to ship 0-to-1 against the durable design a planet-scale platform demands. Temporal Technologies is an Equal Opportunity Employer. Temporal Technologies does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. We embrace and celebrate differences and diversity. Temporal is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. If you need to request a reasonable accommodation, please let your Recruiter know so we can assist.

Location: United States of America 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 6M endpoints and 17M 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. Reports to: Engineering Manager Location: Remote US Compensation: $215,000 to $240,000 base plus bonus and equity What You’ll Do: The Huntress team is looking for an innovative, highly motivated, and self-driven Principal Software Engineer to join our Huntress SIEM team. As a Principal Software Engineer at Huntress, you will be responsible for leading a feature delivery team in the design, development, and high-quality release of software features for the Huntress SIEM Platform that provides for automated detection and human-powered threat hunting. You will focus on creating the technical vision for new and exciting features from the product roadmap. You’ll be working with a smart and diverse team of problem solvers who exhibit high energy, deep technical skills, and a drive to get things done. As a Principal Software Engineer, you will work closely with the platform and architecture teams to design and build the type of solutions Huntress has become known for, which are solutions that not only solve problems but drastically improve industry standards, workflows, and user experiences. Responsibilities: Own delivery, product quality, and up-time of complex mission-critical features/systems Impact objectives and initiatives that span across departments Lead technical decisions with company-wide impact Evolve our collective understanding of our technical domain Define long-term strategic technical goals and initiatives Effectively communicate strategic technical vision and set an example for the organization Work with the team engineering manager to make sure the team is meeting technical expectations and upholding strategy Communicate critical trade-offs on technical approaches across the platform Collaborate closely with the team engineering manager, product manager, security research, platform, and architect on strategic initiatives and technical designs Develop and enforce best practices for the team and department Design and optimize workflows that bridge the gap between traditional development practices and AI-assisted engineering. Build and evolve AI tooling and usage in daily development workflows Experience using AI coding agents to accelerate development Engage with customers as necessary Contribute to and improve the organization's test frameworks and approaches Develop a deep cross-product understanding of features and architecture Own and drive the performance impact of team/department solutions and the overall platform suite Lead and develop high-quality, scalable software, software designs, and architecture, and set standards for team excellence Own improving visibility into software systems at scale, including monitoring and alerting Focus on the entire life cycle of the system, including evolution, configuration, and risk management Ensure code quality and test code coverage through code reviews, test plan reviews, and security reviews Lead the team in providing accurate estimates and taking ownership of the timely completion of work Mentor and coach junior engineers, fostering an environment that values professional development and promotes collaboration and engagement Actively engage with the team and lead by being a positive role model What You Bring To The Team: 15+ years of experience developing complex software products 8+ years of programming in Ruby on Rails 8+ years of large scale database experience A BS in Computer Science or Engineering or equivalent experience gained through work Experience with modern data storage and query systems for high-volume analytics workloads Experience in Agile or Scrum environment Experience with JavaScript and CSS Experience reviewing code, problem-solving, and technical troubleshooting A deep understanding of ActiveRecord (Rails) Excellent technical, diagnostic, and troubleshooting skills Ability to grasp new tools and technologies quickly Effective communication and interpersonal skills Ability to prioritize and execute multiple tasks at a time in a fast-paced environment, often operating independently Ability to distill complex technical topics so that they can be shared and understood by a non-technical audience meaningfully Ability to work cross-functionally between multiple teams Passion for technology, strong motivation, and responsibility for high-quality software features Ability to build strong interpersonal relationships with product, development teams, leadership, senior management, and internal and external stakeholders Helpful experience, but not required Experience working with SIEM platforms or security log/event data Experience with AWS, Azure, and/or GCP cloud environments Experience with Stimulus , Turbo , and/or Hotwire (or similar frameworks) Experience working in a Ruby on Rails monolith A passion for building platform capabilities Eagerness to work with Tailwind CSS , Tailwind UI and Flowbite Experience with data-led product design Experience with Clickhouse Experience with Vector 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. #BI-Remote

Location: New York Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW Harvey’s Legal Engineering Manager, Product Specialist lead and scale a high-performing team of Legal Engineer, Product Specialists responsible for driving customer adoption, expansion, renewal and long-term success across Harvey’s global customer base. This role sits at the center of Harvey’s post-sales motion, ensuring that customers realize meaningful value from Harvey’s platform and expand their usage over time. You will oversee a team of former practicing lawyers who serve as trusted advisors to customers, guiding them in integrating Harvey into their workflows. As a manager, you will be responsible for elevating team performance, shaping customer engagement strategy, and partnering cross-functionally with Customer Success, Sales, Product, and Engineering to drive retention, expansion, and product evolution. This is both a strategic and hands-on leadership role. You will directly engage with Harvey’s most important customers, coach your team through complex engagements, and build the systems, playbooks, and infrastructure needed to scale a world-class post-sales function. WHAT YOU'LL DO - Lead and develop a high-performing team: Recruit, mentor, and manage a team of Legal Engineer – Product Specialists, setting a high bar for customer engagement, legal credibility, and product expertise. Coach team members through complex customer situations, provide actionable feedback, and create clear paths for growth and performance excellence. - Drive customer adoption, retention, and expansion: Own the team’s impact on customer outcomes, including adoption, utilization, renewals, and expansion. Partner closely with Customer Success Managers and Account Executives to ensure coordinated account strategies that deepen engagement and demonstrate measurable value. - Oversee customer engagement strategy: Guide how the team engages with customers across implementation, onboarding and ongoing enablement. Ensure consistent, high-quality delivery of workshops, trainings, and hands-on agent building sessions that help legal professionals integrate Harvey deeply into their workflows across practice areas and geographies. - Act as a senior escalation point for key accounts: Directly engage with Harvey’s most strategic and complex customers, building relationships with partners, general counsel, and other senior legal stakeholders. Step into critical moments to unblock adoption challenges and reinforce Harvey’s value proposition. - Own team operations and performance management: Manage team capacity, account allocation, and coverage to ensure efficient support across the customer base. Establish clear performance metrics tied to adoption, engagement, and customer health. Drive accountability through data-informed decision making. - Build scalable processes and enablement: Design and refine playbooks, onboarding frameworks, training programs, and best practices that enable the team to operate consistently and effectively at scale. Partner with Legal Enablement and Product to continuously improve materials and approaches. - Partner cross-functionally to improve customer outcomes: Collaborate closely with Customer Success, Sales, Product, Engineering, and Applied Legal Research to align on customer needs and deliver cohesive solutions. Ensure insights from customer engagements are translated into actionable improvements across teams. - Influence product strategy and roadmap: Aggregate and synthesize feedback from your team and customers to inform product development. Advocate for features and workflows that address real-world legal use cases and improve usability, adoption, and impact. - Shape Harvey’s customer-facing narrative: Partner with Marketing and Enablement to develop high-quality content, use case materials, and thought leadership that reflect deep legal expertise and resonate with customers. Help define how Harvey communicates value in a post-sales context. WHAT YOU HAVE - JD or equivalent legal qualification. - 5+ years practicing law at a top-tier law firm (Vault 50 or equivalent) and/or in-house at a F500 or leading tech company, with significant client-facing experience. - 4+ years of direct people-management experience, with a demonstrated track record of building, leading, and developing high-performing teams - including hiring, performance management, and career development of direct reports. Experience managing legal professionals is preferred, but candidates with strong management track records leading non-legal teams will also be considered, provided they bring the legal background described above. - Strong executive presence, with experience building relationships with senior stakeholders such as law firm partners, general counsel, c-suite/senior innovation team members and legal operations leaders. - Deep understanding of legal workflows and the challenges faced by modern legal teams. - Demonstrated success in customer-facing roles (e.g., client advisory, customer success, legal tech, or innovation teams). - Ability to operate in a fast-paced, ambiguous environment and drive both strategic initiatives and day-to-day execution. - Strong interest in AI and its potential to transform the legal industry. - Experience working cross-functionally with Product and Engineering teams is a plus. COMPENSATION $315,000 - $385,000 USD OTE 75/25 Split DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-SZ1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: United States Brainlabs is the independent, founder-led agency building the future of media. We have over 1000 Brainlabbers based across the global, all united through the 12 principles laid out in our Culture Code. We're full-service, with people and AI agents working side by side, all aligned to one thing: maximizing our clients' revenue through a genuinely scientific approach to media. If you want to help play your part in achieving this for the world's biggest brands in an environment that will support and challenge you in equal measure, this is where you do it. Role type: Full-time Team: Planning Team Reporting to: Chief Planning & Data Officer Location: New York City, New York Work Authorization: Candidates must be legally authorized to work in the United States. We are unable to provide visa sponsorship or continuation for this position. What's the role We're building agentic media planning at Brainlabs. This role owns how it works. You'll own the underlying process, contribute to refining it over time, and support the 3rd party integrations that power it. You will be responsible for the bridge between our planners and the media our agents run on. This is not about delivering campaigns, this is refining and running the processes and tech that does. So, tell me about the company Brainlabs is culture-first. You’ve probably heard other companies describe themselves as people, clients, or profit first – but we see people, clients and profit as the building blocks of our ecosystem. Culture powers all three and we know that when the ecosystem is balanced, we all win! That's why the culture we cultivate is a culture of winning together. To learn more about what it’s like to be a Brainlabber, check out our culture code. What you do Own the end to end media planning process across national and local, digital and offline Document, refine, and continuously improve how planning gets done at Brainlabs Own the technical integrations behind the process including APIs, data feeds, and connections to media planning data and tech providers Partner with product and engineering to spec, build, and ship tooling that supports the workflow Translate planner needs into clear technical requirements Validate that automated outputs match what an experienced planner would produce Manage delivery across multiple stakeholders and deadlines Who you are Deep tactical media planning experience in the US, national and local First hand planning and buying experience across the full integrated mix, digital and offline Strong existing relationships with US media planning data, research, and technology providers Hands on experience with APIs and automated workflows Proven project management skills across complex programs A process mindset. You see workflows, gaps, and the right place to put automation Preferred Experience Experience contributing to internal tool or application development Familiarity with agentic AI workflows or LLM based tooling What happens next We know searching for a job is tough and that you want to find the best career and employer for you. We also want to ensure that this position is the best fit for both you and us. Therefore, you will participate in a comprehensive interview process that includes skills interviews with our team. The goal of this process is to allow you to get to know us as we learn more about you. Brainlabs actively seeks and encourages applications from candidates with diverse backgrounds and identities. Thank you for your interest in Brainlabs! We look forward to getting to know you! #LI-MB1 Current position range $200,000 — $250,000 USD What happens next? We know searching for a job is tough and that you want to find the best career and employer for you. We also want to ensure that this position is the best fit for both you and us. Therefore, you will participate in a comprehensive interview process that includes skills interviews with our team. The goal of this process is to allow you to get to know us as we learn more about you. A note on our offices: We pride ourselves in being a company with an office-centric culture and, for the majority of roles we expect people to be in commuting distance of the office and come in for around 3 days per week. Brainlabs actively seeks and encourages applications from candidates with diverse backgrounds and identities. We are proud to be an equal opportunity workplace: we are committed to equal opportunity for all applicants and employees regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion, or belief, and marriage and civil partnerships. If you have a disability or special need that requires accommodation during the application process, please let us know! For details regarding our data processing activities, please refer to our Candidate Privacy Notice Protect Yourself from Job Scams: We've been made aware of fraudulent job offers circulating in Brainlabs' name. Your safety is our priority, so please stay vigilant. Brainlabs will never ask you to transfer money, pay for a job opportunity, or request sensitive information such as Social Security numbers, banking details, or passwords via email, WhatsApp, or unsecured channels. Our official hiring communications only come from verified email domains (@brainlabsdigital.com, @brainlabs.ai, @exverus.com, @jacknimble.com.au, @sparro.com.au) and trusted platforms including Greenhouse, Upwork, Yuno Juno, and Remote. If you receive a suspicious message claiming to be from Brainlabs, do not engage. Instead, forward it immediately to security@brainlabsdigital.com . We're committed to protecting our community and ensuring a safe candidate experience. Thank you for your vigilance.

Location: Barcelona, Spain; Madrid, Spain; Tenerife, Spain; Bolzano, Italy; Rome, Italy; Budapest, Hungary; Miskolc, Hungary; Petten, Netherlands; Krakow, Poland; Krosno, Poland; Lublin, Poland; Poland; Poznan, Poland; Warsaw, Poland; Bratislava, Slovakia; Bucharest, Romania; Bucuresti, Romania; Ljubljana, Slovenia; Vilnius, Lithuania; Nicosia, Cyprus; Pilsen, Czechia; Podgorica, Montenegro; Praha, Czechia; Banská Bystrica, Slovakia; Sofia, Bulgaria; Zagreb, Croatia Workplace: remote At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently looking for a dedicated Lead AI Aplication Engineer to join one of our clients' teams . If you're looking for an exciting opportunity to grow in an innovative environment, this could be the perfect fit for you. Key Responsibilities: Build & Run the Shared AI Platform Architect and maintain a multi-tenant AI Platform that supports the full ML lifecycle across cloud and on-premises environments. Ensure high availability, low latency, and cost-efficiency for all shared AI resources. Implement LLMOps/MLOps best practices, including automated deployment pipelines for models. 2. Curate the AI Services Catalogue Develop and expose "as-a-service" capabilities: Inference-as-a-Service, Embeddings-as-a-Service, and RAG-as-a-Service. Standardize how squads interact with LLMs, providing unified APIs and abstraction layers to prevent vendor lock-in. 3. Manage AI Data Infrastructure Own the deployment and scaling of Vector Databases (e.g., Pinecone, Milvus, Weaviate) and Feature Stores (e.g., Feast, Tecton, Hopsworks). Optimize data retrieval patterns to support real-time AI applications and agentic workflows. Oversee Model Hosting environments, utilizing Kubernetes (K8s) and GPU orchestration to manage compute resources efficiently. 4. Enable Developer Self-Service Build and maintain a Self-Service Portal or CLI that allows product squads to provision AI environments, models, and data stores independently. Reduce "Time-to-Inference" for new features by providing pre-configured templates and blueprints. Conduct internal workshops and provide documentation to empower squads to use the platform effectively. Must-Have Technical Skills Infrastructure: Deep experience with Kubernetes (K8s), Docker, and Terraform/Pulumi. Hybrid Cloud: Proven experience managing workloads across AWS/Azure/GCP and On-Premises (NVIDIA AI Enterprise, OpenShift). AI/ML Tooling: Hands-on experience with vLLM, TGI (Text Generation Inference), or NVIDIA Triton for model serving. Databases: Expertise in Vector DBs and traditional SQL/NoSQL databases. Languages: High proficiency in Python and Go or Rust for platform tooling. Experience 8+ years in Platform Engineering, DevOps, or Site Reliability Engineering (SRE). 2+ years specifically focused on building AI/ML infrastructure or platforms. Experience building Internal Developer Platforms (IDP) is a massive plus.