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Location: Remote - EMEA; Remote - London; Remote - Spain; Remote - Portugal Workplace: Remote ABOUT YOU You’re a self-driven, highly capable recruiter who thrives in fast-moving environments and is energized by the challenge of finding talent that can build the best products. You’re deeply curious, technically fluent, and confident engaging with engineering and product candidates who are solving some of the hardest problems in AI and personalization. You are comfortable owning every part of the process and serving as a thoughtful brand ambassador from first outreach to offer. You are excited to help scale a team that’s redefining the future of ecommerce. ABOUT US Constructor is the next-generation platform for search and discovery in ecommerce, built to explicitly optimize for metrics like revenue, conversion rate, and profit. Our search engine is entirely invented in-house utilizing transformers and generative LLMs, and we use its core and personalization capabilities to power everything from search itself to recommendations to shopping agents. Engineering is by far our largest department, and we’ve built our proprietary engine to be the best on the market, having never lost an A/B test to a competitive technology. We’re passionate about maintaining this and work on the bleeding edge of AI to do so. Out of necessity, our engine is built for extreme scale and powers over 1 billion queries every day across 150 languages and with customers across many countries. It is used by some of the biggest ecommerce companies in the world like Sephora, Under Armour, and Petco. We’re a passionate team who love solving problems and want to make our customers’ and coworkers’ lives better. We value empathy, openness, curiosity, continuous improvement, and are excited by metrics that matter. We believe that empowering everyone in a company to do what they do best can lead to great things. Constructor is a U.S. based company that has been in the market since 2019. It was founded by Eli Finkelshteyn and Dan McCormick who still lead the company today. RECRUITING AT CONSTRUCTOR Constructor has grown headcount over 180% in the last two and a half years with a lean team: a small recruiting team and the support of our hiring managers. We’re excited to continue growing and to bring on a Technical Recruiter that will focus on roles across our Engineering and or Product team. These teams are distributed across North America, APAC, LATAM, and EMEA. Given the technical nature of our product, prior experience recruiting for technical roles is required. We're looking for someone excited to partner closely with hiring managers and help us scale intentionally and effectively across regions. RESPONSIBILITIES: - Own full-cycle recruiting for highly technical engineering and product roles, from sourcing through to offer and close - Source and engage top-tier engineering and product talent across North America, LATAM, EMEA, and APAC - Deliver a high-quality candidate experience that reflects Constructor’s values and culture - Partner closely with hiring managers to define role criteria and success profiles - Provide weekly updates to hiring managers on pipeline progress, challenges, and key metrics - Manage interview logistics and ensure smooth scheduling and debriefs across time zones - Build pipelines for current and future hiring needs across technical and adjacent teams - Assess candidate fit for technical capabilities, communication, and success in our fast-moving remote environment - Continuously evaluate and improve recruiting processes, tools, and reporting - Represent Constructor as a thoughtful and enthusiastic brand ambassador in every candidate interaction REQUIREMENTS: - Proven success hiring for technical roles such as backend, frontend, data/ML, and product management, and product design - Proactive and self-directed with a strong sense of ownership and follow-through - Flexible and responsive to candidate needs, including scheduling across global time zones - Demonstrated success in fast-paced environments, ideally at growth-stage startups - Strong track record of retaining hires and building trust with hiring teams - Deep comfort using LinkedIn Recruiter and adapting to new tools - Highly organized with strong attention to detail - Excellent written and verbal communication skills with strong interpersonal skills - Empathetic, thoughtful, and clear when interacting with candidates and internal stakeholders - Demonstrated experience working with applicant tracking systems (ATS) - Comfortable leveraging and iterating with AI tools to streamline recruiting workflows and sourcing This role is fully remote and you are ideally based in or able to overlap with US and EMEA time zones. (ex. Portugal, London, Spain) Nice-to-Haves: - Prior experience using Ashby - Prior experience using Juicebox BENEFITS 🏝️ Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year 💰 A competitive compensation package including stock options 🌎 Fully remote team - choose where you live 🛋️ Work from home stipend! We want you to have the resources you need to set up your home office 💻 Apple laptops provided for new employees 🧑‍🎓 Training and development budget for every employee, refreshed each year 👪 Maternity & Paternity leave for qualified employees 🧠 Work with smart people who will help you grow and make a meaningful impact   Diversity, Equity, and Inclusion at Constructor At Constructor.io http://Constructor.io we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group.   How we handle your data. By submitting this application, you acknowledge that Constructor will collect and process the personal data you provide for the purpose of evaluating your candidacy for this role. If you are not selected, we will retain your data for a limited period as described in our Recruitment Privacy Notice https://constructor.com/recruitment-privacy-notice. After that period your data will be deleted or anonymized.

Location: Stockholm ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: We’re looking for strong engineers with experience building software that developers love to work with. Our ideal candidate is someone with a demonstrated drive to build beautiful abstractions that enhance developer productivity. WHAT YOU’LL WORK ON: - Improve the developer and agent experience of our SDK and CLI - Develop new primitives to meet demand for entirely new areas that arise as a result of the ongoing industry transformation YOU MAY BE A FIT IF: - You have 5+ years of experience developing high-quality Python, JavaScript, or Go applications or libraries where the code is used or interacted with by other developers - You have a strong code-as-product sense that manifests as a focus on developer ergonomics and productivity - You understand async programming, concurrency management, and their pitfalls - You have a high level of customer empathy, good communication skills, and an openness to working directly with our users to help solve their problems - You’re able to participate in our on-call rotation and respond to production incidents - You’re able to work in person in our Stockholm office NICE-TO-HAVE: - Experience building developer tools or SDKs - Experience maintaining open-source software - Good understanding of agentic development workflows - Familiarity with modern data, ML, and AI tools and workflows

Location: Remote Workplace: Remote We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. ABOUT THE ROLE We're looking for an ML infrastructure engineer to own model evaluation at Runway, end to end. Every decision we make about a model – which checkpoint to keep training, what to ship to millions of users, which datamix and architecture shows the most promise – rests on evals. Today that work is spread across the organization. You'll turn it into one platform. Your job will be to design and build the systems that generate samples at scale, score them with automated metrics and human annotations, track results across checkpoints and releases, and put the answers in front of researchers in minutes rather than days. You'll define what "better" means operationally – how we measure it, how confident we are, and how a result becomes a ship/no-ship decision. You'll be embedded within research teams as a member of ML Platform, and you'll set the technical direction for evals across the company. This is an extremely high-leverage role: the quality of our models is bounded by how well we can measure them. A PEEK AT OUR TECHNICAL STACK Our inference and training code is written in Python (PyTorch) and is cloud-native. We leverage multiple clouds and use a combination of Kubernetes native and home-grown tooling for efficient job orchestration. We’re big users of agentic development and operations. We have a robust internal platform and provide broad access to the latest models and harnesses. You’ll have access to best-in-class models, agents, GPUs, storage and cloud services you need to drive a world class evaluation pipeline that helps us deliver frontier models. WHAT YOU'LL DO - Own the evaluation platform end to end: the tooling and systems required to generate, annotate, review and adapt at frontier scale - Define the CLIs, APIs, GUIs and storage layers required to make this process seamless, fast, sophisticated and collaborative - Work directly with research teams on video, image, audio, agents, and robotics to understand what they need to measure and build it, then generalize the result into the platform - Help set the standards for how we evaluate models at Runway: reproducibility, metric definitions, reporting formats, and when a result is trustworthy enough to act on - Support broad adoption of the platform and its integration throughout Runway’s research efforts across training, production model serving and more - Contribute broadly as a member of the ML Platform team to tools and systems that help Runway train and serve frontier models WHAT YOU'LL NEED - 5+ years of experience building ML infrastructure or data platforms in production environments, with at least some of that time spent on evaluation, experimentation, or benchmarking systems - Strong Python and PyTorch, and hands-on experience running large batch GPU workloads on Kubernetes - Experience designing data pipelines and storage for large volumes of media or model outputs, with attention to versioning and reproducibility - Familiarity with experimental statistics: paired comparisons, confidence intervals, multiple-comparison pitfalls, inter-rater agreement - Comfort building internal tools end to end, from the command line to the browser - Ability to lead a broad technical area: gather requirements from many teams, set direction, make tradeoffs, and drive a roadmap without waiting to be told - Familiarity with the full model development lifecycle: data, training, evaluation, serving - Self-starter who can work embedded with research teams and move fast - Strong systems thinking and pragmatic approach to production reliability - Humility and open mindedness; at Runway we love to learn from one another NICE TO HAVE - Track record of building evaluation suites for generative models - Hands-on work with LLM- or VLM-as-judge pipelines - Experience with online experimentation platforms and connecting offline metrics to product outcomes - Prior work evaluating agents or robotics policies Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. WORKING AT RUNWAY Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024

Location: New York Workplace: OnSite ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. ABOUT US: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable https://modal.com/blog/lovable-case-study, Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C https://modal.com/blog/modal-series-c at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: Modal builds the infrastructure that lets engineers run AI workloads without the usual pain. To do this well, we need exceptional people – and that’s where you come in. As the first dedicated technical recruiter on our Talent team, you’ll own engineering and AI/ML searches end-to-end. You’ll work closely with our Head of Talent, founders, and technical leads to shape how we hire and help bring in the people who will define what Modal becomes. What you’ll do: - Run full-cycle recruiting for engineering and AI/ML roles (sourcing, pitching, guiding interviews, and closing candidates) - Partner with technical leaders to understand the real work and calibrate on what great looks like - Help set our technical hiring bar and how we evaluate talent - Execute creative top-of-funnel strategies that resonate with a strong community of talented, experienced engineers - Deliver a fast, respectful, honest candidate experience - Bring an equity lens to every stage of the process - Use data and market context to keep searches on track and expectations aligned - Support candidates as a trusted guide through high-stakes decisions REQUIREMENTS: - You know technical recruiting inside and out and enjoy the challenge of deeply technical roles - You’re curious – you ask the right questions and love understanding how things actually work - You influence with insight and honesty, not by simply having the loudest voice in the room - You move quickly and communicate clearly, even when things get messy - You’re a strong closer who builds trust early and stays ahead of concerns - You’re steady when priorities shift and can recalibrate without losing momentum - You care about people and want them to have a thoughtful, fair, and human experience throughout the process

About the Role As a Technical Deployment Lead on the Claude Agentic Solutions team, you will lead the delivery of custom AI agent solutions for enterprise customers in highly regulated industries. You'll own high-value engagements where we collaborate directly with customers to build and deploy agents into their most critical business processes.

Responsibilities Hire, develop, and retain a team of TDLs embedded in engagements across EMEA. Set a high bar for delivery judgment, technical fluency, and customer presence, and run the interview loop that holds that bar.

Location: Europe (+/- 3 hours) Workplace: Remote 👋 A LITTLE ABOUT US We’re building the best platform for authoring, publishing, and maintaining world-class docs. Close to 40,000 sign-ups per month, over 100k Monthly Active Users, used by 2M+ people and thousands of teams like Zoom, FedEx, Nvidia, Snyk, and Google. We’re profitable, backed by P9 Capital, Notion Capital, and Fly VC, and our amazing team is spread across 15 countries in North America, Europe, and Asia. 👩‍💻THE ROLE We see Support at GitBook as a key function to strengthen customer trust. Every conversation is a chance to shape the product and make our support model more scalable. As a Technical Support Specialist, you’ll help technical teams document and share what they know with GitBook. You’ll answer product questions and troubleshoot issues with custom domains, integrations, APIs, SSO/SAML and bugs. You’ll use your knowledge of Git and DNS, and your ability to read logs across platforms to track down problems. You’ll keep first-response time, resolution time, and CSAT on track and share recurring feedback with Product and Engineering to improve GitBook. You'll turn what you learn into insight that shapes our roadmap, reduces friction and helps customers succeed long-term. 🫶YOU WILL BE VALUED FOR - Technical foundations: You know Git, GitHub/GitLab, SAML SSO, DNS and web fundamentals such as caching and redirects. - Developer fluency: You’re comfortable reviewing code, testing APIs and understanding OpenAPI specifications to support customers using our Integrations Platform. - AI forward thinking: You’re familiar with AI and LLM tools (including MCP) and keep up with new developments. You bring ideas for automation, self-service and smarter workflows. - Customer empathy and clear communication: You listen carefully and explain complex issues simply both in writing and conversation with a friendly tone. - Prioritization under pressure: You keep a busy queue moving with quick thoughtful replies while investigating deeper issues. You know when to switch focus or escalate. - Systems thinking: You don't just solve tickets. You ask why they happened and how to prevent the next hundred. - Remote collaboration: You troubleshoot with teammates, share what you learn and know when to work async or jump on a call. - Autonomy and adaptability: You take ownership, try things, ask for help when needed and learn as the product and team evolve. - Market curiosity: You follow how technology, AI, documentation and developer tools are changing and where GitBook fits. You dig into customer problems and bring ideas back to the team to improve our product, processes and customer experience. 🙌 WHAT WILL YOU BE DOING - Solving high-impact technical problems: Triage, troubleshoot and debug customer problems, knowing what needs urgent escalation and what belongs in a bug report or roadmap discussion. Document complex issues with reproduction steps and relevant logs and work with Engineering to resolve them. - Supporting customers: Help customers through our Helpdesk, Slack or Teams with everything from Authenticated Access and SAML SSO to monorepos and redirects. Ask follow-up questions to understand what they’re trying to achieve, help them get more from GitBook and build relationships where they feel comfortable sharing honest feedback. - Turning support into product insight: Spot recurring bugs, friction points and feature requests. Quantify their impact, suggest workarounds and bring clear, evidence-based recommendations to Product, Engineering and Design. - Shaping how we work: Help our small team improve how we prioritize, triage and automate support. You’ll work with evolving processes rather than a fixed playbook, take initiative with limited guidance and speak up with ideas and concerns. ✨ WHAT'S NEXT? Here's what our process will look like: - A screening interview with our People Team - 30 minutes - Interview with Support team member (technical interview) - 45 minutes - Technical Exercise - Meeting Hiring Manager + Support Team - 45-60 minutes - Meeting our CEO - 30 minutes - Offer *This process is not set in stone, we might add steps to the process as we go along, like a work sample. We will make sure to keep you posted! 👥 Join GitBook at a pivotal time as we evolve our product and team. This is a chance to shape our product, craft, and culture https://www.gitbook.com/about#open-roles.

• Обробка технічних кейсів (бани, обмеження, збої). • Супровід верифікацій і whitelist.

Design, develop, and customize Microsoft Dynamics CRM solutions to align with client specifications and business objectives. Integrate Microsoft Dynamics CRM with other systems and applications as necessary to provide seamless functionality.

• разбирать технические проблемы с доступностью отелей и номеров. • анализировать алерты, логи и метрики, искать причины сбоев и проверять гипотезы.

Задачи: — Вести технические и предподключенческие звонки с командами разработки и ИТ брокеров, структурировать обсуждение, уточнять требования и согласовывать дальнейшие шаги. — Участвовать в технических предпродажных обсуждениях для оценки требований интеграции и ответов на технические вопросы. — Объяснять техническим командам клиентов процесс SSO Signal Codex и требования к интеграции. — Помогать разработчикам брокеров реализовывать вход на основе JWT и устранять ошибки аутентификации. — Проверять логику генерации токенов и выявлять распространённые проблемы реализации. — Тестировать интеграции от начала до запуска, включая аутентификацию, брендинг и ссылки WebTrader. — Отслеживать блокирующие факторы, ответственных и следующие шаги, активно продвигать интеграции к запуску. — Координировать работу с разработчиками клиентов во время реализации и помогать эффективно решать технические проблемы. — Поддерживать технические вопросы после запуска при необходимости. — Документировать повторяющиеся проблемы и предлагать практические улучшения процесса онбординга и интеграции. Требования: — Опыт 2+ года в веб-приложениях, SaaS продуктах, технических интеграциях, внедрении, инженерии решений или аналогичной технической роли. — Хорошее понимание HTTP, редиректов, JWT и веб-аутентификации/SSO. — Знание концепций валидации JWT, таких как iat, exp, алгоритмы подписи и идентификаторы пользователей. — Умение читать бэкенд-код на PHP, Node.js или Python для выявления проблем в генерации токенов и потоках аутентификации. — Уверенное использование инструментов разработчика браузера, логов, API и базовых командных утилит для отладки. — Базовый практический опыт с Python или аналогичными скриптовыми инструментами для тестирования и отладки. — Понимание основ безопасности аутентификации и безопасного обращения с секретами. — Умение совместно с разработчиками устранять неполадки во время живых звонков. — Свободное устное и письменное владение английским и русским языками. — Способность работать самостоятельно, брать ответственность и проактивно поднимать блокеры, риски и неясные требования. — Уверенность и профессионализм в коммуникации с клиентами, умение вести технические обсуждения и ясно объяснять сложные темы. — Проактивность и самостоятельность с сильным чувством ответственности за прогресс интеграций и результаты для клиентов. — Не требуется быть штатным разработчиком. Желательно: — Опыт работы с B2B SaaS онбордингом, внедрением или инженерией решений. — Опыт интеграций SSO. — Опыт в финтехе, брокерах Forex/CFD или торговых платформах. — Опыт работы напрямую с внешними техническими командами клиентов. — Опыт участия в технических предпродажных или интеграционных звонках. Условия: — Полностью удалённая работа, независимый подрядчик. — Требуется NDA. — Типичная нагрузка: 10–20 часов в месяц, в зависимости от активных интеграций. — Некоторые недели могут требовать мало или совсем не требовать участия. — Нагрузка может увеличиваться с ростом числа интеграций. — Большая часть работы проходит в рабочие часы CET с заранее запланированными звонками. — Во время активной интеграции ожидается ответ в течение одного рабочего дня. — Вне активных интеграций постоянная доступность не требуется. — Оплата €40–50 в час, в зависимости от опыта. — Оплата за фактически затраченное время на звонки, поддержку интеграций, тестирование, устранение неполадок и документацию.

• Create high-quality materials and shaders in Unreal Engine 5. • Good knowledge of Unreal Engine materials and shading workflows.

Location: United States Workplace: Remote 1Password is growing. We’ve surpassed $500M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing. About 1Password At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work. If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future. We’re looking for a Senior Technical SEO Analyst to improve the technical foundations that help 1Password.com http://1Password.com attract qualified audiences, support conversion, and build category authority across consumer, product-led growth (PLG), and enterprise experiences. This is a hands-on individual contributor role for someone who moves beyond audits to diagnose root causes, recommend practical solutions, implement changes, and partner with Web Engineering when improvements require code or platform development. Reporting to the Senior Manager, SEO and GEO. On the Marketing team, we’re growing our AI capability together and redesigning how work gets done. We’ve built agents to improve workflows focused on competitive intelligence, content creation, and campaign planning, helping us stay sharp, reduce context-switching, and surface the right information at the right time. AI helps us coordinate, execute, and uncover insights fasterso we can spend more time on what’s most important: performance, judgement, and driving the future of 1Password. This is a remote opportunity the US. What we're looking for: • 4+ years of hands-on technical SEO experience on a complex software as a service (SaaS), enterprise, international, or multi-audience website. • Strong knowledge of crawling, indexing, rendering, canonicals, redirects, sitemaps, robots directives, structured data, JavaScript SEO, Core Web Vitals, internal linking, and international SEO. • Experience moving from technical diagnosis to implementation through content management system (CMS) changes, engineering requirements, release quality assurance (QA), and measurement. • Experience with an enterprise or headless CMS, including content models, publishing workflows, governance, and data quality. • Experience supporting a domain, CMS, platform, or acquired-site migration. • Strong analytical judgment and working knowledge of Hypertext Markup Language (HTML), Cascading Style Sheets (CSS), JavaScript, crawl tools, Google Search Console, web analytics, and monitoring systems. • Clear communication and cross-functional project leadership, including the judgment to make day-to-day decisions independently and bring forward recommendations on broader decisions. Experience with Contentful, Vercel, Next.js, GitHub, GitLab, server-log analysis, observability, automated testing, workflow automation, cybersecurity, developer products, or a global website serving both business and consumer audiences is a plus. What you can expect: • Monitor and improve crawlability, indexation, rendering, site performance, structured data, internal linking, and international SEO. • Diagnose complex technical issues and recommend priorities based on impact, effort, risk, dependencies, and business goals. • Implement changes in the CMS and partner with Web Engineering on technical SEO requirements, acceptance criteria, and release QA. • Lead defined technical SEO workstreams for migrations and major site changes, including redirect planning, launch monitoring, and post-launch remediation. • Maintain agreed taxonomy, structured-content, internal-linking, and data-quality systems that support scalable content discovery. • Build monitoring, dashboards, alerts, and repeatable processes using crawl, search, analytics, log, and CMS data. • Use artificial intelligence (AI), scripts, application programming interfaces (APIs), and automation to scale technical analysis, quality assurance, and repeatable fixes with appropriate human oversight. USA-based roles only: The annual base salary for this role is between $88,000 USD and $123,000 USD, plus immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set. This posting is for an existing vacancy. Our culture At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first. You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone https://blog.1password.com/inside-the-culture-powering-1passwords-next-chapter/. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results. How we work with AI We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password. This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. To us, this means we do ask that you join live interviews without using AI tools so we can get to know how you communicate, solve problems, and collaborate with others. Our approach to remote work We believe in the power of remote work, but recognize that in-person connection is important to help us achieve our mission. While we are a remote-first company, travel for in-person engagement is a part of almost all roles, and we require our employees to be ready and willing to take part. Frequency will depend on role and responsibilities, and may include, but is not limited to: annual department-wide offsites, team meetings, and customer/industry events. What we offer We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer: Health and wellbeing 👶 Maternity and parental leave top-up programs 🩺 Competitive health benefits 🏝 Generous PTO policy Growth and future 📈 RSU program for most employees 💸 Retirement matching program 🔑 Free 1Password account Community 🤝 Paid volunteer days 🏆 Peer-to-peer recognition through Bonusly 🌎 Remote-first work environment *Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting. You belong here. 1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs. Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you. Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form https://jobs.ashbyhq.com/1password/automation-notice. For additional information see our Candidate Privacy Notice https://1password.com/files/candidate-privacy-notice.pdf.

Location: San Francisco Workplace: OnSite ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: Modal’s Inference Runtime team owns the container runtime stack used to run inference and training workloads across our fleet. We work at the boundary of Linux, containers, filesystems, storage, GPU drivers, and distributed systems. Our goal is to make demanding ML workloads start quickly, run efficiently, and remain securely isolated, whether they use a single GPU, hundreds of gigabytes of memory, or multiple GPUs connected with RDMA. We’re looking for a systems engineer who enjoys working deep in the stack. You’ll build production runtime infrastructure in Rust and Go, diagnose difficult Linux and performance problems, and help determine the architecture of Modal’s container platform. You’ll also work closely with maintainers of gVisor and contribute to the runtime itself when the right fix belongs upstream. WHAT YOU'LL WORK ON: - Make container startup, checkpoint, and restore dramatically faster for large inference and training workloads - Build multi-GPU and accelerator-aware snapshotting, including efficient handling of GPU memory and RDMA-enabled workloads - Design zero-copy and low-copy data paths between container memory, filesystems, storage, and Modal’s runtime - Optimize large snapshot pipelines using techniques such as parallel uploads, direct I/O, incremental snapshots, and more efficient memory handling - Improve container image and filesystem performance across EROFS, FUSE, page caches, overlay filesystems, and remote storage - Extend our sandboxed runtime to support new GPUs, drivers, profiling tools, and device capabilities across NVIDIA and AMD hardware - Debug complex failures involving system calls, virtual memory, process lifecycle, kernel behavior, GPU drivers, and container isolation - Safely roll out runtime and kernel changes across a heterogeneous fleet using compatibility controls, scheduling constraints, feature flags, and observability - Work across the runtime, scheduler, storage, and GPU infrastructure, and take ambiguous production problems from investigation through deployment YOU MAY BE A FIT IF: - You have strong Linux systems knowledge, particularly processes, virtual memory, filesystems, system calls, scheduling, namespaces, cgroups, and signals - You’ve built or debugged container runtimes, sandboxes, the Linux kernel, or similarly low-level infrastructure - You have strong programming ability in Rust, Go, or another systems language, and an interest in becoming productive in both Rust and Go - You’ve profiled and improved systems where memory movement, I/O, synchronization, or kernel interactions dominate performance - You’re comfortable debugging across abstraction boundaries, from application behavior down through runtimes, drivers, and the kernel - You can turn loosely defined production problems into well-designed, reliable systems - You want to own important infrastructure and work closely with both internal teams and customers NICE-TO-HAVE: Any of the following would be helpful, but none is required: - gVisor, runsc, runc, OCI runtimes, seccomp, or checkpoint/restore systems - Linux kernel development, virtualization, sandboxing, kernel modules, or device proxying - CUDA, ROCm, GPU drivers, accelerator virtualization, or GPU profiling - RDMA and high-performance networking - FUSE, EROFS, direct I/O, mmap, page-cache behavior, or storage engines - Large-memory or multi-GPU inference and training systems - Contributions to open-source systems software Prior gVisor or machine-learning experience is not required. We care more about strong systems fundamentals, curiosity, and the ability to learn unfamiliar parts of the stack. WHY THIS ROLE: The container runtime is directly on the critical path for inference performance. Improvements here can substantially reduce cold starts, increase token throughput, unlock new accelerator types, and make previously impractical workloads possible. This is an opportunity to work on unusually deep systems problems with immediate production impact. You’ll have room to shape the architecture, contribute to open-source runtime technology, and take ownership of foundational infrastructure used by every inference and training workload on Modal.

• Manage end-to-end recruitment processes for Engineering, IT, Operations, and other specialized roles, including job posting, sourcing, interviewing, and onboarding. • Develop and maintain a robust pipeline of qualified candidates using various sourcing methods, including social media, job boards, and networking events.

Beffio is an award-winning co-development studio working with international clients including Square Enix and Nike. The studio is looking for a Senior Technical Lighting Artist with strong Unreal Engine experience and a deep understanding of real-time lighting, rendering and environment systems. The role combines artistic lighting execution with technical troubleshooting. You will work closely with Art Directors, Lighting Artists, Technical Artists and Engineers to achieve high visual quality while maintaining performance across technically demanding Unreal Engine projects. Responsibilities: • Create, polish and troubleshoot real-time lighting setups in Unreal Engine • Work with dynamic Time of Day lighting systems • Configure and balance Directional Light, Skylight, Sky Atmosphere, Skybox and Exponential Height Fog • Work with Post Process Volumes, exposure and Local Exposure • Use Sequencer and Day Sequence Volumes to control lighting and Time of Day parameters • Diagnose lighting, rendering, exposure, shadow, fog, atmosphere and performance issues • Work with Lumen, Virtual Shadow Maps, Nanite, LODs, draw distances and light complexity • Navigate Blueprints to understand lighting and environment systems and identify potential issues • Work with levels, sublevels, World Partition, Data Layers and streaming • Collaborate with client-side Art, Lighting, Tech Art and Engineering teams Required Skills: • Strong professional experience with real-time lighting in Unreal Engine • Professional background as a Lighting Artist, Technical Lighting Artist, Technical Artist, Environment Artist with a lighting focus or similar role • Strong portfolio or reel demonstrating real-time lighting work in Unreal Engine • Deep understanding of Unreal Engine lighting workflows and rendering fundamentals • Practical knowledge of Time of Day systems • Strong understanding of direct lighting, skylight, atmosphere, fog, exposure, post-processing and shadows • Good knowledge of Lumen and its limitations across supported platforms • Knowledge of Virtual Shadow Maps, Nanite, LODs, draw distances and light complexity • Ability to navigate Blueprints, Sequencer, World Partition and Data Layers • Strong diagnostic and technical problem-solving skills • Ability to identify performance and rendering bottlenecks • Clear written English • Comfortable working in a fully remote, client-facing co-development environment Nice to Have: • Experience with dynamic Time of Day systems • Experience with large open-world or semi-open-world Unreal Engine projects • Experience profiling and debugging lighting and rendering performance • Strong cinematic and gameplay lighting sense • Experience with consoles or other performance-constrained platforms • Basic Blueprint scripting knowledge • Experience working closely with Technical Art and Engineering teams Conditions: • Fully remote work • Full-time cooperation • B2B or standard employment contract options • Work on technically demanding Unreal Engine projects • Direct impact on lighting quality, readability and rendering consistency • Collaboration with experienced international Art, Lighting, Tech Art and Engineering teams • Production-focused co-development environment • Opportunity to solve complex real-time lighting and rendering challenges • Annual team retreat focused on learning, alignment and team bonding

• Convert UX wireframes into polished UI designs, prototypes and design systems using Figma, Photoshop and Illustrator. • Implement and animate user interfaces in Unreal Engine 5 using UMG, Slate, Material Editor, Niagara, Sequencer and Blueprints.

Nebius Technical Program Manager, Data Centers 1d ago Apply Now → $27,300 – $46,800 estimated Remote Full-time Middle Netherlands 🚀 Management Share Technical Program Manager, Data Centers The Role We are looking for a Technical Program Manager to own the operational readiness and ongoing health of our fleet of Data Centers, both COLO and BTS sites.