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Location: United States Why Cast AI? Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production. The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation. Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS. Global team, diverse perspectives We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead. Unicorn momentum In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started. Join us as we build the future of autonomous infrastructure. About the product Kimchi is Cast AI’s governed AI coding platform – an autonomous coding agent, inference layer, and spend control in one. By intelligently routing tasks across more than 50 open-weight and frontier models, Kimchi helps engineering organizations scale AI-assisted development without losing control of cost, security, or data. As agentic AI coding becomes core infrastructure, token costs multiply, spend limits are merely opt-in, and source code flows to external models with little governance. Kimchi solves this with smart model orchestration, real-time cost attribution and enforced budget caps, agent guardrails, and full data sovereignty – including self-hosted deployment for the most regulated environments. About the role Every engineering org is rolling out AI coding agents, and almost none of them can see what it costs or where their code is going. The buyers are already asking the question Kimchi answers. This is a founding seat. There is no Kimchi team on the ground in AMER yet. You will be one of the first account executives in the region, opening the first enterprise logos, choosing the partners and the events that matter, and shaping the playbook the next hires run. You will not be starting cold. Kimchi sits inside Cast AI, so you inherit a well-funded company, a proven enterprise sales motion, and a large installed base of Cast AI customers who already trust us with their infrastructure. The market is moving fast. Your job is to get there first. What'll You Own? New logo acquisition across AMER enterprise accounts - the core of the role. You build and run your own outbound pipeline, every week, not as an afterthought The full enterprise sales cycle: Opportunity Assessment, Value Discovery, technical validation (POCs and benchmark-driven evaluations), executive negotiation, and close Multi-stakeholder deals with CTOs, CIOs, CISOs, CFOs, Heads of Engineering, and Platform Engineering leads, tying Kimchi to each account's AI coding cost, governance, and infrastructure challenges Upsell opportunities into Cast AI's existing customer base, working alongside the team that owns expansions Kimchi's partner ecosystem in AMER: identifying and pitching the right partners (including cloud providers like AWS and AI-native players), with the channel team supporting onboarding and joint programs Market-building activity that feeds pipeline: picking the events worth showing up at, partnering with marketing on sponsorships and co-hosted events, and working with DevRel on developer community Value Delivery after signature, working with implementation teams and measuring results against the business case What'll You Need? Proven experience running a full enterprise sales cycle as an Account Executive, from Opportunity Assessment through Value Delivery A demonstrated track record selling cloud SaaS in AI coding or developer platforms, AI/ML infrastructure, LLM cost optimization, cloud infrastructure, or FinOps, or a closely adjacent space Hands-on experience running deals with the MEDDIC methodology A history of successful negotiation and closing new-logo deals, with a genuine focus on long-term customer outcomes A strong outbound orientation: you build your own pipeline consistently rather than relying on inbound Comfort operating in a build-from-scratch environment, where you own the outcome and pull in partners, marketing, and DevRel to get there What Makes You Stand Out? You have sold complex AI, developer-platform, or cloud software to enterprise technical buyers and can independently create pipeline, run discovery, and close new logos You are comfortable selling to financial and security stakeholders (CFOs, CISOs) as well as engineers - Kimchi deals are multi-stakeholder by nature You have converted technical engagement or PLG usage into committed enterprise agreements You have built partner or ecosystem relationships (cloud marketplaces, SIs, AI-native vendors) that turned into sourced pipeline You have been an early or founding seller in a new region or product line What’s in it for you (US)? Join a fast-growing company at the forefront of cloud-native automation and Kubernetes technology. Enjoy a flexible, remote-first global environment. 401(k) retirement plan 100% company match on employee contributions up to 6% of pay (available after 3 months of employment). Access UnitedHealthcare plans including medical, dental, and vision coverage. Equity options. Learning budget for your professional and personal growth. Team-building budget and company events to connect with your colleagues. Equipment budget to ensure you have everything you need. Hiring process Screening call with Recruiter Hiring Manager interview 1-2 additional interviews based on the role Culture Check interview with an executive *As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr. *Please note that Cast AI does not provide any form of visa sponsorship/work permit. #LI-Remote

Location: New York Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. We are looking for an experienced Trading Systems Software Engineer to help build the applications, platforms and engineering capabilities that support QRT’s global trading environment. This is a broad software engineering role spanning application development, distributed systems, cloud technology, deployment automation and production engineering. You will design and build software used by traders, quantitative researchers, operations teams and other engineers across the firm. Your Future Role within QRT Design, develop and maintain production-grade applications, services and APIs supporting QRT’s trading platform. Build shared platforms and reusable capabilities that can be adopted across multiple trading desks and engineering teams. Develop modern web applications and operational tools that improve visibility, control and efficiency across trading workflows. Design scalable distributed and event-driven systems that integrate with trading platforms, market data services and internal infrastructure. Build deployment tooling, release automation and self-service capabilities that make software easier and safer to deploy and operate. Develop automated workflows for data processing, operational tasks and engineering processes using technologies such as Apache Airflow. Partner with traders, quantitative researchers and operations teams to understand their needs and solve practical business problems. Design software for latency-sensitive environments, balancing performance with reliability, scalability and operational simplicity. Build observable and resilient systems with appropriate monitoring, alerting, recovery and failure-handling capabilities. Work alongside infrastructure, cloud and DevOps engineers to deploy and support software across global production environments. Contribute to technical design and architectural decisions, evaluating new technologies where they can deliver meaningful value. Take ownership of software throughout its lifecycle, from initial design and implementation through to production support and continuous improvement. Your present skillset At least five years of experience developing and supporting production-grade software. Strong programming and software engineering skills in one or more languages such as Python, Java, Go, Node.js or C++. Experience designing maintainable, testable and scalable applications and services. A strong understanding of software design principles, data structures, algorithms and engineering fundamentals. Experience building RESTful APIs, distributed systems or event-driven architectures. Exposure to containerisation, orchestration and delivery technologies such as Docker, Kubernetes and CI/CD pipelines. Experience with public cloud technologies, preferably AWS. An understanding of messaging technologies such as Kafka or RabbitMQ. Experience considering reliability, observability, performance and failure recovery when designing production systems. Strong analytical and problem-solving skills, with the ability to make sound engineering decisions and explain the associated trade-offs. The ability to work effectively with both technical and non-technical stakeholders. Base salary range for this position is $180,000 to $300,000 per year. QRT Total Compensation includes discretionary performance-based bonuses and a competitive benefits package.

Location: Intellias Meet your recruiter Viktoriia Borsuk viktoriia.borsuk@intellias.com https://www.linkedin.com... Vacancy details Test Engineering Manual Test Engineer Senior Ukraine Remote APPLY NOW REFER A FRIEND Build the next generation of digital banking for 18M users. We are looking for a Senior General QA, focused mainly on manual mobile testing with solid automation knowledge. You will ensure the quality of customer-facing changes for a leading Ukrainian bank, validating mobile functionality end-to-end across mobile and web applications, APIs, and integrations. The platform is powered by an enterprise-grade, AWS-based, service-oriented backend with multiple databases and complex integrations—requiring strong attention to reliability, security, performance, and high availability. This is a transformation-scale environment where your testing and quality decisions directly affect millions of customers. Expect real ownership, complex challenges, and measurable impact. What project we have for you This project is focused on evolving an enterprise-grade digital banking platform for a leading Ukrainian bank serving ~18 million customers. The ecosystem includes a customer-facing mobile application and web channels, supported by a service-oriented backend running on AWS with modern technologies and native managed services. What you will do ·Test mobile application and web solutions (with mobile as the priority). ·Contribute to test strategy based on identified customer quality expectations and plan testing activities · Design test scenarios for features with any level of complexity and involve all relevant testing types to ensure comprehensive and accurate testing · Actively apply experience-based and complex requirements-based test design techniques · Set up software quality and testing process quality metrics · Identify project and product quality risks, monitor, control them, and build response strategies · Estimate the time and effort required for test execution, considering factors such as project complexity, scope, and resources availability · Execute testing activities using relevant tools to enhance the effectiveness and efficiency of testing · Prepare Test Summary Reports that accurately summarize the results of testing efforts and presenting them to stakeholders What you need for this Required Skills 5+ years of hands-on experience in Quality Assurance (2+ years of commercial experience in mobile application testing) Understanding of key QA metrics, interpreting and analysing them to identify areas for improvement Proficiency in developing and maintaining traceability matrixes and testing guidelines to ensure accurate and consistent testing outcomes Ability to troubleshoot, debug and diagnose problems that arise during testing of the software on the target platform (WEB/Desktop/Mobile/Embedded) Understanding of Android and iOS platforms (AOS/iOS), including device-level troubleshooting. Understanding of mobile OS architecture and platform-specific behaviors; ability to explain and apply platform differences in testing strategy. High-level mobile testing expertise: strong understanding of mobile-specific testing approaches, risks, and quality criteria (app lifecycle, background/foreground behavior, permissions, notifications, network variability, device fragmentation, OS versions), understanding of Android and iOS platforms (AOS/iOS) Practical experience with device-level troubleshooting and advanced testing setups: ADB usage (Android) and working with device logs (e.g., logcat, crash logs); OS-level testing configurations (e.g., limiting background processes, power/battery constraints, network constraints, developer options) Strong skills in traffic analysis and debugging: Experience with sniffers/proxy tools such as Charles, Proxyman, Fiddler (or equivalents); Ability to capture, analyze, and validate network requests/responses and troubleshoot issues Hands-on experience with at Test management tools Solid practical experience in testing APIs using Postman, Swagger, DevTools; clear understanding of REST and client–server architecture principles. Experience with traffic/proxy and debugging tools: Proxyman, Fiddler (or equivalents). Knowledge of version control systems and Continuous Integration/Continuous Deployment tools, Linux CLI Knowledge of SQL and the ability to write queries to verify data in the application Knowledge of test management tools and ability to maintain traceability matrices and testing guidelines. Hands-on automation experience: tools such as Appium, TestNG, Selenide and programming languages Java and/or Kotlin. Will be a Plus Excellent interpersonal and cross-culture communication skills Practice experience with noSQL Experience with at least one common DBs (Apache CouchDB, Couchbase, MongoDB, etc.) Experience with AWS/Azure/GCP services Ability to apply test design techniques in practice (equivalence partitioning, boundary values, decision tables, state transition, pairwise, exploratory), ideally with real product examples (e.g., banking flows). What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success. Skills Mobile

Location: Singapore; Philippines; Indonesia; Australia; Thailand; Khazakstan; Armenia Workplace: Remote Location: Fully Remote (Singapore time zone) Start Date: ASAP Languages: Fluent English required Industry: AI / Data Infrastructure Team: Go-to-Market (GTM) Type: Full-time ABOUT THE OPPORTUNITY Pragmatike is hiring a GTM Engineer on behalf of a fast-growing AI company building reliable, fair and open infrastructure for AI training data. Its marketplace connects data providers with leading AI companies, including startups, Fortune 500 companies and frontier AI labs. Backed by leading venture investors, including Y Combinator, the company is scaling rapidly and expanding its commercial operations. The company operates a two-sided marketplace where leading AI labs specify the data they need, and the commercial team identifies businesses and individuals who can provide it. As the business grows, the focus is shifting towards building the systems and infrastructure needed to scale these operations efficiently. As a GTM Engineer, you'll approach go-to-market as an engineering challenge. You'll own the technical infrastructure behind the commercial team, building data pipelines, automations, integrations and internal tools that help a lean team source, qualify and close opportunities at scale. This is an engineering-first role with a strong commercial focus, ideal for someone who enjoys building practical systems, solving operational bottlenecks and working closely with sales teams and founders. The company has offices in San Francisco and Singapore, with remote opportunities also available. Working hours will align with either Singapore or US Pacific business hours, depending on your location. WHAT YOU'LL DO - Own the GTM tooling stack end to end, including selecting, configuring, integrating and maintaining the tools used by the commercial team. - Build scalable sourcing systems, including scrapers and data enrichment pipelines, to identify relevant data providers and opportunities. - Develop and maintain the data infrastructure behind GTM, connecting CRM, marketplace and product data into a reliable source of truth for pipeline, listings and revenue. - Build internal tools to support provider research, listing quality checks, pipeline management and sales forecasting. - Automate repetitive workflows across sourcing, qualification, lead routing and reporting. - Identify operational bottlenecks with the founders and commercial team, prioritising automation projects with the highest impact. - Explore and implement AI agents where they provide clear advantages over traditional automation. - Make build-versus-buy decisions for GTM tooling, keeping the technical stack efficient, reliable and easy to maintain. WHAT WE'RE LOOKING FOR - 2+ years of professional software engineering experience. - Strong programming skills in Python or TypeScript, with fluent SQL. - Experience building internal tools, automations or integrations used by other teams in their day-to-day operations. - Hands-on experience developing data pipelines and API integrations between different business systems. - Strong problem-solving skills and the ability to translate business needs into practical technical solutions. - Commercial awareness and an interest in revenue operations, with the ability to understand sales workflows and prioritise projects that directly support business growth. - Clear written communication skills and the ability to take ownership in ambiguous, fast-moving environments. Nice to Have: - Experience in RevOps, growth engineering, sales engineering or forward-deployed engineering. - Hands-on experience implementing LLMs or AI agents in production environments. - Previous experience in an early-stage startup or as a founder. - Familiarity with AI training data, including RL environments, evaluations and benchmarks. We're open to motivated candidates who don't meet every requirement. Strong engineering fundamentals, ownership and the ability to learn quickly are what matter most. WHY THIS OPPORTUNITY - Build systems that drive revenue: Develop the tools, integrations and pipelines that power the entire commercial operation. - High impact in a lean team: Automate critical workflows and help a small GTM team operate at significantly greater scale. - Work directly with founders: Collaborate closely with the founding and commercial teams, identifying problems and deciding what is worth building. - Work with modern AI tooling: Explore and implement AI agents and automation solutions where they deliver real operational value. - Flexible working setup: Choose between on-site opportunities in San Francisco or Singapore, or remote work aligned with Singapore or US Pacific business hours. EQUAL OPPORTUNITY & PRIVACY Pragmatike is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination. We recruit on behalf of our clients and prohibit discrimination and harassment based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process.

Location: United States; Colombia; Sacramento; Los Angeles; San Francisco; Canada; Costa Rica; Mexico Workplace: Remote Location: Fully Remote (Pacific time zones) Start Date: ASAP Languages: Fluent English required Industry: AI / Data Infrastructure Team: Go-to-Market (GTM) Type: Full-time ABOUT THE OPPORTUNITY Pragmatike is hiring a GTM Engineer on behalf of a fast-growing AI company building reliable, fair and open infrastructure for AI training data. Its marketplace connects data providers with leading AI companies, including startups, Fortune 500 companies and frontier AI labs. Backed by leading venture investors, including Y Combinator, the company is scaling rapidly and expanding its commercial operations. The company operates a two-sided marketplace where leading AI labs specify the data they need, and the commercial team identifies businesses and individuals who can provide it. As the business grows, the focus is shifting towards building the systems and infrastructure needed to scale these operations efficiently. As a GTM Engineer, you'll approach go-to-market as an engineering challenge. You'll own the technical infrastructure behind the commercial team, building data pipelines, automations, integrations and internal tools that help a lean team source, qualify and close opportunities at scale. This is an engineering-first role with a strong commercial focus, ideal for someone who enjoys building practical systems, solving operational bottlenecks and working closely with sales teams and founders. The company has offices in San Francisco and Singapore, with remote opportunities also available. Working hours will align with either Singapore or US Pacific business hours, depending on your location. WHAT YOU'LL DO - Own the GTM tooling stack end to end, including selecting, configuring, integrating and maintaining the tools used by the commercial team. - Build scalable sourcing systems, including scrapers and data enrichment pipelines, to identify relevant data providers and opportunities. - Develop and maintain the data infrastructure behind GTM, connecting CRM, marketplace and product data into a reliable source of truth for pipeline, listings and revenue. - Build internal tools to support provider research, listing quality checks, pipeline management and sales forecasting. - Automate repetitive workflows across sourcing, qualification, lead routing and reporting. - Identify operational bottlenecks with the founders and commercial team, prioritising automation projects with the highest impact. - Explore and implement AI agents where they provide clear advantages over traditional automation. - Make build-versus-buy decisions for GTM tooling, keeping the technical stack efficient, reliable and easy to maintain. WHAT WE'RE LOOKING FOR - 2+ years of professional software engineering experience. - Strong programming skills in Python or TypeScript, with fluent SQL. - Experience building internal tools, automations or integrations used by other teams in their day-to-day operations. - Hands-on experience developing data pipelines and API integrations between different business systems. - Strong problem-solving skills and the ability to translate business needs into practical technical solutions. - Commercial awareness and an interest in revenue operations, with the ability to understand sales workflows and prioritise projects that directly support business growth. - Clear written communication skills and the ability to take ownership in ambiguous, fast-moving environments. Nice to Have: - Experience in RevOps, growth engineering, sales engineering or forward-deployed engineering. - Hands-on experience implementing LLMs or AI agents in production environments. - Previous experience in an early-stage startup or as a founder. - Familiarity with AI training data, including RL environments, evaluations and benchmarks. We're open to motivated candidates who don't meet every requirement. Strong engineering fundamentals, ownership and the ability to learn quickly are what matter most. WHY THIS OPPORTUNITY - Build systems that drive revenue: Develop the tools, integrations and pipelines that power the entire commercial operation. - High impact in a lean team: Automate critical workflows and help a small GTM team operate at significantly greater scale. - Work directly with founders: Collaborate closely with the founding and commercial teams, identifying problems and deciding what is worth building. - Work with modern AI tooling: Explore and implement AI agents and automation solutions where they deliver real operational value. - Flexible working setup: Choose between on-site opportunities in San Francisco or Singapore, or remote work aligned with Singapore or US Pacific business hours. EQUAL OPPORTUNITY & PRIVACY Pragmatike is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination. We recruit on behalf of our clients and prohibit discrimination and harassment based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process.

Location: Berlin Office; Bosnia; Romania; Norway; Estonia; Latvia; Slovenia; Netherlands; Hungary; Portugal; Serbia; Germany; Finland; Albania; Lithuania; Slovakia; Ireland; Bulgaria; Denmark; Belgium; Czech Republic; United Kingdom; Croatia; Spain; Greece Workplace: Remote The AI orchestration of your wildest imagination. n8n is the open workflow orchestration platform built for the new era of AI. We give technical teams the freedom of code with the speed of no-code, so they can automate faster, smarter, and without limits. Backed by a fiercely inventive community and 500+ builder-approved integrations, we’re changing the way people bring systems together and scale ideas for impact. Since our founding in 2019, we’ve grown into a diverse team of over 260 - working across Europe and the US, connected by a shared builder spirit and with our centre of gravity in Berlin. Along the way, we’ve: - Cultivated a community of more than 650,000 active developers and builders - Earned 190K+ GitHub stars, making us one of the world’s Top 40 most popular projects - Backed by top investors, from Sequoia’s first German seed to our SAP's recent strategic investment - bringing us to a $5.2bn valuation That’s the company we’ve built. Now we’d love to see what you can build. If you’re applying, try n8n out - whether you’re technical or not - and share a screenshot of your first workflow with us. The easiest place to start is here: app.n8n.cloud/register http://app.n8n.cloud/register. We’re in a defining moment of an incredible journey. Come and build with us. Your main goal will be to lead n8n’s enterprise product strategy and build scalable monetisation infrastructure, turning complex enterprise needs into innovative, reusable capabilities while preserving the simplicity, flexibility, and product-led experience that make n8n successful. To make this happen, you'll take ownership of four key areas: SHAPE OUR ENTERPRISE PRODUCT VISION AND STRATEGY - Define and drive our enterprise product vision, translating the needs of builders, admins, and buyers across governance, security, compliance, scale, and reliability into reusable product capabilities. - Identify new opportunities, make thoughtful product bets, and decide which customer requests to prioritise, decline, or transform into broader solutions rather than reacting to individual deals. - Champion exceptional product craft, usability, and quality, balancing innovation with enterprise readiness and measuring success through adoption, time-to-value, retention, and expansion. - OWN AND SCALE OUR MONETISATION INFRASTRUCTURE - Set the product strategy, priorities, and roadmap for monetisation infrastructure, enabling evolving commercial models without creating unnecessary complexity, exceptions, or workarounds. - Partner with Growth, Finance, Sales, and self-serve product teams to inform pricing, packaging, and tiering decisions while maintaining clear ownership of product priorities and outcomes. - Make strategic trade-offs between new commercial capabilities, foundational investments, and simplification, ensuring reliable, scalable infrastructure with clear dependencies and realistic delivery commitments. BUILD A HIGH-PERFORMING PRODUCT FUNCTION AND DRIVE TECHNICAL ALIGNMENT - Shape and lead the enterprise Product Management function, owning team structure, hiring, performance, and career development while empowering PMs to make strong, autonomous decisions. - Partner closely with Engineering leadership to build ambitious yet achievable roadmaps, making informed decisions about scope, sequencing, architectural constraints, and technical dependencies. - Balance new product capabilities with technical debt, platform investment, and reliability, establishing clear ownership, effective prioritisation, and strong collaboration between Product and Engineering. BE THE STRATEGIC PRODUCT PARTNER TO CUSTOMERS AND COMMERCIAL TEAMS - Build deep knowledge of our enterprise customers, personally leading senior-level roadmap conversations, understanding their evolving needs, and navigating complex product escalations. - Act as a trusted product counterpart to Sales, Customer Success, Legal/Security, and partners, translating customer and commercial insights into strategic product decisions. - Set clear expectations with commercial teams and customers, confidently challenging account-specific requests when needed and ensuring long-term product value drives prioritisation. REQUIREMENTS MUST-HAVES - Enterprise product strategy: You have a proven track record of turning complex enterprise customer needs into scalable product capabilities, with the judgement to prioritise meaningful opportunities and confidently say no when necessary. - Product-led mindset: You understand how to meet sophisticated enterprise requirements without compromising the broader product experience, and you maintain a high bar for usability, simplicity, and product craft. - Monetisation expertise: You have led monetisation infrastructure initiatives or bring a strong understanding of the systems, technical dependencies, and commercial trade-offs required to support scalable business models. - Commercial fluency: You have navigated pricing, packaging, renewals, or enterprise deal considerations and know how to balance commercial opportunities with sustainable product strategy. - Technical credibility: You can confidently partner with Engineering leaders to evaluate architecture constraints, make informed prioritisation decisions, and balance innovation with scalability, reliability, and technical investment. - Product leadership: You have built or led high-performing Product Management teams, developed PMs, and established clear ownership and decision-making practices that enable teams to operate autonomously - Executive customer engagement: You're comfortable engaging directly with senior enterprise customers, leading strategic roadmap conversations, managing escalations, and translating customer insights into actionable product priorities. - Entrepreneurial judgement: You proactively identify opportunities, challenge assumptions, and take considered bets rather than relying on established playbooks or reacting to the loudest customer requests. NICE-TO-HAVES - Developer tools experience: You have worked on products for technical users, developer platforms, or within open-source ecosystems. - Product-led and enterprise experience: You have helped scale a product-led business with a meaningful enterprise sales motion and understand how to make both models successful. - Enterprise infrastructure expertise: You have experience with monetization systems, enterprise governance capabilities, or similar infrastructure supporting complex customer and commercial needs. Why join us? At n8n, you'll have the opportunity to take end-to-end ownership of one of our most strategically important product areas, where we're seeing some of our strongest product-market fit. You'll shape our enterprise product vision, influence company-wide product decisions, and build a high-performing PM function with the autonomy and ownership to scale alongside our ambitions. You'll operate at a particularly exciting intersection: bringing enterprise-grade governance, security, and reliability to a developer-loved automation platform without losing what makes it special. From deciding which opportunities deserve investment to shaping the infrastructure behind our commercial growth, your decisions will have a direct and measurable impact on how customers adopt, deploy, and expand with n8n. As part of one of Europe's fastest-growing startups, you'll work closely with Product, Engineering, and commercial leadership in a collaborative, remote-first environment that values ownership, experimentation, and continuous learning. n8n is an equal opportunity employer and does not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, or disability status. We can sponsor visas to Germany; for any other country, you need to have existing right to work. Our company language is English. You care about diversity and inclusion? We do too! Check out our Diversity, Inclusion and Belonging initiatives at n8n https://www.notion.so/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35?pvs=21 (https://www.notion.so/n8n/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35). Location disclaimer: If you see multiple job postings for the same role, it is most likely because we're hiring remotely for this role and posting in different locations to make sure every potential candidate can see the role. Please apply to the location you're the most likely to work from in the future. BENEFITS - Competitive compensation 💸 – We offer fair and attractive pay. - Ownership 💪 – Our core value is to “empower others,” and we mean it—you’ll get a slice of n8n with equity. - Work/life balance 🏖️ – We work hard but ensure you have time to recharge: - Europe: 30 days of vacation, plus public holidays wherever you are. - US: 20 vacation days, 8 sick days, plus public holidays wherever you are. - Health & wellness 🩺 – - Europe: We provide benefits according to local country norms.* - US: Multiple low-premium, low-deductible medical plans with coverage for individuals and families—plus a no-cost premium HDHP option with a pre-seeded HSA—along with dental and vision coverage. - Future planning 💰 – - Europe: We provide pension contributions according to local country norms.* - US: 401(k) retirement plan with a 4% employer match. - Financial security 🛡️ – - Europe: We provide benefits according to local country norms.* - US: Company-paid short-term and long-term disability insurance, plus life insurance to support you and your loved ones. - Career growth 📈 – We hire rising stars who grow with us! You’ll get €1K (or equivalent) per year to spend on courses, books, events, or coaching to level up your skills. - A passionate team 🤩 – We love our product, and we prove it with regular hackathons where we see who can build the coolest thing with it! - Remote-first 🌏 – Our team works remotely across Europe, with regular off-sites for team bonding. Some roles, like sales in the US, are hybrid—please check the job description. - Giving back 🤝 – We're big fans of open source, and you'll get $100 per month to support projects you care about. - Transparency 🙏 – We all know what everyone’s working on, how the company is doing—the whole shebang. *Country and/or State specific details provided in your employment agreement.

Location: Intellias Meet your recruiter Kateryna Zemetska kateryna.zemetska@intellias.com https://www.linkedin.com... Vacancy details DevOps Engineering DevOps Architect Architect Bulgaria, Croatia, Poland, Portugal, Spain Remote APPLY NOW REFER A FRIEND Let’s breathe life into great tech ideas! With more than 3 000 people globally, Intellias is a company where benchmark technological solutions are born. Join in and take your part in digitalizing the world. What project we have for you The client is undergoing a large-scale cloud and security modernization program aimed at transforming its application architecture and strengthening enterprise governance across environments. What you will do Design and implement DevOps processes: responsible for designing and implementing DevOps processes, such as continuous integration and delivery, automated testing, and deployment automation, to accelerate software delivery and improve quality. Infrastructure management: designs and manages cloud-based infrastructure using tools such as AWS, Azure, or GCP, to ensure scalability, high availability, and cost-effectiveness. Automation: responsible for automating manual processes across the software development lifecycle to improve efficiency, consistency, and reliability. Performance optimization: analyzes system performance and identifies opportunities for optimization, such as load balancing, caching, and database tuning. Security and compliance: ensures that the DevOps processes and infrastructure meet security and compliance standards. Team management: leads and manages a team of DevOps Engineers, providing technical guidance, mentoring, and coaching to ensure the team’s success. Collaboration: collaborates with other teams, such as development, QA, and operations, to ensure smooth integration and alignment of processes and goals. Continuous improvement: responsible for continuously improving DevOps processes, infrastructure, and tools to achieve higher efficiency, quality, and scalability. What you need for this 7+ years of experience working as a DevOps Technical expertise: in-depth knowledge and expertise in software development, automation, cloud computing, infrastructure management, and DevOps tools and technologies such as Docker, Kubernetes, Jenkins, Git, Ansible, Terraform, etc. Cloud computing: expertise in designing, deploying, and managing cloud-based infrastructure using Azure. Other cloud platforms and services will be a plus. Automation: experience in automating manual processes across the software development lifecycle to improve efficiency, consistency, and reliability. Software development: strong understanding of software development methodologies, coding practices, and programming languages to enable effective collaboration with development teams. Infrastructure management: expertise in managing and optimizing infrastructure, such as servers, databases, networks, storage, and security. Continuous integration and delivery (CI/CD): experience in designing and implementing efficient and reliable CI/CD pipelines to accelerate software delivery and improve quality. Security and compliance: knowledge of security best practices and compliance requirements to ensure that the DevOps processes and infrastructure meet security and compliance standards. Leadership and communication: strong leadership skills to manage and motivate a team of DevOps Engineers, as well as excellent communication skills to facilitate collaboration and alignment with other teams and stakeholders. Strategic thinking: able to think strategically and align the DevOps function with business goals and objectives. English level B2/C1 Leadership: strong leadership skills to lead and motivate a team of DevOps Engineers, as well as to influence and guide other teams and stakeholders towards DevOps adoption. Adaptability: able to adapt to changes in technology, processes, and business requirements and be open to new ideas and approaches. Curiosity: A desire to learn and explore new technologies, methodologies, and best practices is essential to stay current in the fast-paced DevOps field. Communication: Clear and effective communication skills are essential to collaborate with other teams, stakeholders, and management. Teamwork: able to work well in cross-functional teams, share knowledge, and collaborate on projects to achieve common goals. Problem-solving: strong problem-solving skills to identify and troubleshoot complex system issues. Attention to detail: detail-oriented and ensure that their work meets high standards of quality and accuracy. Time management: be able to prioritize tasks effectively and manage their time efficiently to meet project deadlines. Continuous learning: continuous learning and keeping up with the latest technologies, trends, and best practices in DevOps. Customer focus: customer-focused and work towards improving the end-user experience through efficient and reliable software delivery. Will be a plus: An Associate, Professional or Specialty-level certification from one of our strategic technology partners — AWS, Microsoft, Google, Databricks or Anthropic — aligned with your tech stack. What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success.

Location: Intellias Meet your recruiter Mariia Tislenko mariia.tislenko@intellias.com https://www.linkedin.com... Vacancy details Software Engineering PHP Engineer Senior Ukraine Remote APPLY NOW REFER A FRIEND The team develops Intems, Intellias’s in-house core platform, and drives AI automation of the company’s internal processes. Intems covers employee records, time tracking and time off (PTO), employee engagement, benefits, and performance evaluation and development. It also serves as the corporate portal, is integrated with the company’s other information systems, and acts as the main interface for HR processes and a key data source for analytics. What project we have for you The team is part of the IT department, which plays a key role at Intellias in driving change management, process improvement and AI enablement across the company. What you will do Develop backend and frontend features for the Intems platform Build and support integrations between Intems and other company systems Turn business requirements into technical solutions: research options, compare trade-offs and propose the best approach Build AI-powered automations for internal processes Write clean, secure and maintainable code covered by unit and integration tests Estimate and plan tasks, and deliver on commitments Suggest technical and functional improvements that add value to the product What you need for this Must have skills: 7+ years of commercial PHP development experience, including PHP 8.x Strong understanding of OOP, SOLID principles and software design patterns Solid experience with MVC frameworks (Laravel or similar) Experience building REST APIs and integrating with external systems Experience with JavaScript (ES6+), TypeScript Experience with HTML5 and CSS/SASS Experience with relational databases (MySQL), including schema design and query optimization Experience with non-relational databases: MongoDB, Redis Experience with Docker Experience with Git and pull-request-based workflows Experience configuring and maintaining CI/CD pipelines (GitHub Actions, Azure DevOps or similar) Experience writing unit and integration tests (PHPUnit or similar) Daily hands-on use of AI coding assistants (GitHub Copilot, Cursor or similar) in modern IDEs (VS Code, PhpStorm) Practical experience using AI tools across the SDLC: code generation, refactoring, test creation, code review and documentation Knowledge of secure coding practices (OWASP Top 10) Experience doing code reviews Understanding of the SDLC and Agile principles Ability to estimate tasks accurately and deliver on commitments Nice to have skills: Experience with MS Foundry (deploying models and building AI agents) Experience automating the SDLC with AI: AI-assisted code review and test generation in CI/CD pipelines, coding agents, custom instructions and prompts for the team Experience with MCP and building tools and integrations for AI agents Experience with Azure cloud services (Service Bus, Storage account, Azure func, VM, Managed identity, Key-Vaults) Experience with Vue.js (2.x/3.x) Knowledge of Webpack, npm and modern front-end build tools Experience implementing responsive web designs Experience with Jira Certification: CCDV-F or a similar AI certification What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success.

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Singapore About the Department The Cloudflare APAC sales organisation operates as one integrated revenue system. Account Executives, Customer Engineers, Partner Account Managers, Business Development Representatives, Customer Experience Managers, Professional Services and Revenue Operations work as a continuous engine — winning, deploying, adopting, expanding, and scaling platform commitments across the full customer lifecycle. The system is supported by an AI-embedded operating model. The work itself, however, remains human. The role of every seller at Cloudflare is to bring critical thinking, judgment, and trust to customer relationships and outcomes. About This Role In this role, you will be responsible for driving significant growth by landing and expanding a portfolio of mid-market accounts in the Vietnam market . The ideal candidate possesses a strong blend of sales acumen and technical understanding, enabling them to engage effectively with both technical and non-technical buyers. As an Account Executive, you will drive revenue velocity by utilizing foundational sales data layers for accurate forecasting, proactive pipeline management, and consistently exceeding attainment targets. You are the kind of operator who uses AI as a force multiplier every day, cares more about customer outcomes than job boundaries, and demonstrates curiosity, judgment, and high agency. Role Responsibilities Own and execute a comprehensive territory plan to consistently achieve and exceed sales and revenue targets. Cultivate long-term strategic relationships with key accounts and partners. Lead executive-level transformation narratives that earn the right to be in the architecture conversation. Leverage top partners as an extension of the sales team to co-sell alongside where they bring customer relationships, services capability, or procurement leverage. Drive regular forecast & pipeline cadences with top partners. Understand customer network architectures, the problems that Cloudflare can solve and effectively translate Cloudflare’s solutions to drive successful platform sales, ensuring clients can secure and scale their own AI-driven workloads. Manage contract negotiations and structure platform-level commercial commitments (multi-year, multi-product, outcome-anchored) rather than point-product deals. Stay engaged through onboarding, adoption, and the first renewal. Partner with Customer Engineers, Professional Services on a deployment plan with milestones tied to measurable outcomes. Proactively build and manage a robust sales pipeline by leveraging internal tools, AI-assisted research and pipeline sources (BDR, Channel, Marketing). Maintain high standards in pipeline discipline, CRM hygiene and forecasting accuracy. Required Experience Fluent in English and Vietnamese to engage with customers in Vietnam Bachelor's degree or equivalent work experience. Experience selling technology solutions in high-growth technology firms. Demonstrated track record of consistently meeting and exceeding multi-million dollar quota targets. Proficient in discovery, positioning, competitive selling, negotiation, closing, and multi-threaded land and expand strategies. Strong understanding of computer networking, cloud security technology, and how enterprise infrastructure adapts to automated data workflows. Exceptional interpersonal communication skills and value selling skills. Proficiency in modern sales software, customer data environments, and core systems (e.g., Salesforce, Tableau, G-suite). Thinks critically rather than reacting, exercises judgment under uncertainty, names risks honestly, shows genuine empathy for customers as people, can point to relationships built over time on trust, and demonstrates visible curiosity in how they prepare, sell, and learn. Willingness to actively engage with AI tools and experiment. Ability to travel as required. What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

* Build and operate batch and incremental ingestion pipelines in Google Cloud to Smartly Data Platform. * Develop Airflow workflows using Python with best orchestration practices, including dag dependencies, retries, backfills, alerting, and recovery.

Location: Remote - Europe; Remote - United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The IP Backbone TPM coordinates the planning and delivery of Nebius’s global IP backbone and Internet edge. The role connects data center launches, customer and platform demand, IP architecture, network engineering, procurement, and external providers so that sites have the routing, transit, peering, hardware, and address resources needed for service readiness and growth. The TPM is accountable for end-to-end project coordination: defining scope with technical owners, building integrated plans, tracking dependencies and risks, driving decisions to closure, and confirming handover. Network Architecture and Engineering own technical standards and design decisions; engineers lead implementation. The TPM keeps those workstreams aligned and ensures the required outcomes are delivered. Nebius Regions and HQ In summer 2026, we introduced the concept of regions to remove dependence on the Amsterdam HQ and speed decision making. The regional change applies to procurement, logistics, and IT datacenter operations. Network infrastructure remains an HQ function because its architecture and design affect all sites. Position Scope Please note that Nebius is in a state of rapid growth. Due to this, the scope and responsibilities of the role will constantly evolve based on business and team needs. Site and PoP Readiness Coordinate IP connectivity due diligence for new data center and PoP locations. Confirm the planned site role in the backbone and the required connectivity to regional and Super PoPs. Track site dependencies such as rack space, power, security, cross-connects, cabling, hardware delivery, and carrier access. Coordinate PoP build plans with IP Engineering, Layer 1 Planning, Data Center Operations, , Security, and Procurement. Identify the boundary between IP and Layer 1 work early, including transport handoffs, demarcation points, and ownership of cross-connects. Confirm that IP equipment and provider services are ready for installation, testing, and operational handover. IP Connectivity Planning Coordinate plans for IP transit, peering, private interconnects, and backbone connectivity in line with the global network strategy. Track provider requirements, site availability, port capacity, cross-connects, delivery dates, commercial terms, and technical acceptance criteria. Work with Procurement and network architects to gather and review ISP information using the provider qualification checklist. Use the completed assessment and architect input to support provider selection and record the decision and any conditions. Plan connectivity for new data center launches, including the required paths from the front-end fabric to the Nebius backbone, transit providers, cloud on-ramps, and peering locations as applicable. Maintain an integrated view of circuit, port, router, optics, and cross-connect dependencies so that a delivered service can be activated end to end. Coordinate capacity growth and diverse connectivity plans before demand or a new launch creates a service constraint. Internet Routing Resources and Security Coordinate the lifecycle and accurate records for Nebius IPv4 and IPv6 address allocations, assignments, and utilization. Maintain an operational view of ASN use and dependencies across regions, PoPs, transit providers, peers, and customer-facing services. Coordinate the creation, review, and maintenance of AS-SETs, route objects, and ROAs with the responsible technical owners and relevant registries. Track RPKI and IRR readiness as part of provider onboarding, routing changes, and new-site launches. Coordinate remediation of resource or routing-security issues with Network Engineering and external providers. Backbone Hardware and Supply Maintain a forward-looking view of IP backbone hardware demand based on PoP builds, data center launches, capacity plans, and approved architecture. Coordinate hardware planning and delivery for routers, line cards, optics, spares, software entitlements, and related components. Standard platforms are Juniper MX304 routers for peering borders, Juniper PTX10002 routers for data center borders, and Cisco 8000 Series routers for Cloud Interconnect (CIC) and cloud on-ramps. Work with IP Engineering to translate approved designs into complete, validated bills of materials and deployment requirements. Track forecasts, purchase requests, supplier commitments, lead times, delivery allocations, and regional logistics with Network Supply and Procurement. Coordinate supply for PoP out-of-band equipment (currently MikroTik, with future SD-WAN platforms under consideration), console access, and PoP management networks. Security appliances are outside this role’s hardware scope. Identify supply risks early and coordinate mitigation options with technical owners, procurement, and project stakeholders. Keep project schedules aligned with hardware readiness, site readiness, and service activation milestones. Delivery and Launch Coordination Build and maintain integrated delivery plans for IP backbone projects, PoP builds, provider services, and data center launches. Coordinate work across IP Architecture, IP Engineering, Layer 1 Planning, Data Center Operations, Construction, Security, Procurement, and providers. Define milestones, prerequisites, owners, acceptance criteria, and handover requirements for each workstream. Drive resolution of blockers and escalate risks that could affect site launch, customer commitments, capacity, or network resilience. Coordinate testing, service activation, routing turn-up, documentation, and operational handover with the engineering and operations teams. Maintain clear status reporting for project scope, schedule, dependencies, decisions, risks, and actions. Operations and Capacity Management Track IP backbone and Internet edge capacity against forecast demand, data center growth, customer requirements, and platform launches. Coordinate port, router, transit, peering, address-resource, and hardware expansion before capacity constraints affect service readiness. Maintain accurate records of PoPs, providers, circuits, ports, ASNs, address allocations, AS-SETs, ROAs, and deployment status in the agreed systems of record. Support incident follow-up and provider escalations when delivery or service issues affect backbone availability. Review completed projects with technical and operations teams, capture lessons learned, and improve planning and handover processes. Support ongoing improvements to resiliency, routing security, provider diversity, and operational readiness. Working Boundaries with Layer 1 Planning IP and Layer 1 TPMs share delivery responsibility for PoP and data center connectivity projects. The IP TPM coordinates the IP service outcome: routing, transit, peering, IP address resources, IP hardware, and service activation. The Layer 1 TPM coordinates the physical and optical transport outcome: fiber routes, wavelengths or dark fiber, DWDM systems, ILAs, and the transport path to the agreed handoff. For shared projects, the two TPMs should maintain one integrated milestone plan, agree the service demarcation and handoff points with engineering, and assign a clear owner to each dependency. Technical design and configuration decisions remain with the relevant architecture and engineering owners. Internal Operating Context Nebius infrastructure supports Nebius Cloud Platform, Nebius Token Factory, Meta, Microsoft, and selected bare-metal customers. The IP backbone TPM works with product and infrastructure stakeholders to translate Nebius Cloud launches and requirements into deliverable connectivity plans. This scope covers Nebius Cloud by default; Internet access for a bare-metal customer is included when that customer specifically requests it. Cloud Interconnect requirements may require dedicated on-ramp planning. For provider onboarding, Procurement coordinates the commercial process and issues the qualification questionnaire. The TPM coordinates technical due diligence with Backbone Architecture and Engineering, tracks completion, and records the approval decision and follow-up actions. The TPM coordinates the provider assessment and selection process with Procurement and the network architects, using the qualification checklist and architect input to reach and document the decision. Security Project Coordination The TPM may coordinate IP security and DDoS-related projects that affect the backbone or Internet edge. Security Architects lead these projects and own the security architecture and technical decisions. The TPM coordinates scope, dependencies, milestones, risks, stakeholder communication, and delivery handover with Security, Network Architecture, Engineering, Procurement, and providers as needed. Key Collaborators Function Typical contribution IP / Backbone Architecture Defines architecture and technical standards; provides technical input to provider selection and design decisions IP Engineering Owns detailed design, configuration, implementation, testing, and technical handover Front End Fabric Deploy Team Ensures that OOB connectivity is ready, and that CAB + Border related deploy work is completed and unblocks this team. Layer 1 Planning / DWDM Engineering Delivers transport connectivity and coordinates shared PoP or site dependencies Network Supply and Procurement Forecasts and sources hardware and services; coordinates provider qualification and commercial processes Data Center Operations and Construction Delivers site access, space, power, cabling, cross-connect, and readiness dependencies Product and customer teams Provides launch dates, demand forecasts, and customer or platform requirements Security Architects Lead IP security and DDoS projects and own security architecture decisions ISPs, peers, exchanges, and cloud providers Deliver transit, peering, interconnection, and related services About Nebius Nebius AI is an AI cloud platform with one of the largest GPU capacities in Europe. Launched in November 2023, the Nebius AI platform provides high-end, training-optimized infrastructure for AI practitioners. As an NVIDIA preferred cloud service provider, Nebius AI offers a variety of NVIDIA GPUs for training and inference, as well as a set of tools for efficient multi-node training. Nebius AI owns a data center in Finland, built from the ground up by the company’s R&D team and showcasing our commitment to sustainability. The data center is home to ISEG, the most powerful commercially available supercomputer in Europe and the 16th most powerful globally (Top 500 list, November 2023). Nebius’s headquarters are in Amsterdam, Netherlands, with teams working out of R&D hubs across Europe and the Middle East. Nebius AI is built with the talent of more than 500 highly skilled engineers with a proven track record in developing sophisticated cloud and ML solutions and designing cutting-edge hardware. This allows all the layers of the Nebius AI cloud – from hardware to UI – to be built in-house, distictly differentiating Nebius AI from the majority of specialized clouds: Nebius customers get a true hyperscaler-cloud experience tailored for AI practitioners. We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us! Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $180,000 — $230,000 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Remote-US Workplace: Remote Phantom https://phantom.com is on a mission to connect the world to the freedom of open markets. Tens of millions of people all over the world use Phantom to access global markets that never close, including perpetuals, prediction markets, tokenized assets, stablecoins and memes. Phantom users are able to discover the markets that matter and the cultural moments that shape them, building conviction through real-time data and the verified performance of top traders. With self-custody and access to open networks at its core, Phantom lets them control their financial moves in the same app they use to safely store or spend money worldwide. Phantom has reached #1 in Google Play's finance category and consistently ranks in the top 50 apps across all categories. Check out our Forbes Fintech 50 https://www.forbes.com/sites/ninabambysheva/2026/02/23/inside-phantoms-battle-plan-to-win-the-crypto-fueled-superapp-war/ and CNBC and Statista's World's Top Fintech Companies 2026 https://www.cnbc.com/worlds-top-fintech-companies-2026/! We are around 180 people, fully remote, backed by a $150M Series C investment from a16z, Sequoia Capital and Paradigm. Phantom is building the global trading app for mass adoption. We’re hiring a mid-level Copywriter in our Brand Innovation Group who can turn complex ideas into language people get instantly, while also shaping a brand voice that feels native to Gen-Z and the wider culture we’re trying to build. You’ll split your time between innovative brand campaigns, Product Marketing, and Growth Marketing. You’ll also bring ideas and projects to life that actually matter in culture: spotting what’s resonating on social (especially TikTok), reading taste, and turning those signals into work that extends Phantom beyond pure product messaging. RESPONSIBILITIES Ideas, Culture and Social - Have a refined pulse on social media, especially TikTok, and the broader cultural currents that shape Gen-Z taste, humor, and attention. - Bring big-picture thinking to the table: identify cultural moments, trends, or community behaviors worth engaging with, and propose concrete ways Phantom can show up. - Develop, champion, and help deploy ideas and projects that build culture around the brand, not just promote features. This could include stunts, community campaigns, content series, or other formats that go beyond standard marketing. Product Marketing - Write copy for social and website that supports launches and feature releases, with language that feels clear, specific, and culturally current. - Partner with product marketing managers to turn positioning into sharp, audience-native writing. - Draft in-app copy (feature announcements, empty states, onboarding moments) in close collaboration with design and product. - Help keep Phantom’s tone of voice consistent and distinctive across every surface, using brand guidelines as the foundation while pushing them forward where culture demands it. Growth Marketing - Write lifecycle copy for email, push, and in-app messaging that moves people from signup through activation and ongoing engagement. - Write paid acquisition ad copy and generate variations for testing, with a feel for what actually resonates with Gen-Z and mass audiences. - Work with growth marketers on test hypotheses, then use results to decide what to scale, revise, or kill. - Adapt copy to audience segment, channel constraints, and market while keeping the brand’s cultural point of view intact. QUALIFICATIONS - 4+ years as a copywriter or in a similar creative role, with a portfolio that shows strong digital and brand writing and evidence of strategic or idea-led work that has cultural reach. - Exceptional writing and editing skills: clarity, tone, voice, and the ability to make complex things feel simple and human. - Genuine fluency in Gen-Z language, platforms, and culture. You know what feels native versus what feels forced. - Comfort thinking in bigger ideas and turning them into executable projects, plus a track record of (or clear desire for) work that builds culture and reflects real taste, not just executing briefs or campaigns. - Excellent communication and storytelling skills. You can explain product value and also shape how people feel about the brand. - Experience collaborating across functions, including with technical or product teams, and influencing without formal authority. - Understanding of marketing principles, digital tactics, and how to use performance data to improve work Why Work With Us Phantom's journey to becoming a global trading app began with making crypto easier to use. Today, we’re building on that foundation to help people discover the markets that matter, make informed financial moves, and safely store or spend their money worldwide. Joining Phantom means helping shape that next chapter: building products that bring the freedom of open markets to more people.   - Build for global impact: Create products used by tens of millions of people, making innovative financial markets more accessible to users around the world. - Make complexity feel simple: Solve meaningful challenges across design, engineering, and user experience to make discovering markets and managing money seamless. - Put users in control: Help build a future where people have greater freedom over their assets and financial decisions, with security and self-custody at the foundation. Benefits (only available to full-time employees) - Competitive salary and equity - Comprehensive insurance (medical/dental/vision): base plan 100% covered - Flexible hours and a long-standing, supportive remote environment - Unlimited vacation: Take time when you need it (and we really mean it!) - 401(k) retirement plan - Wellness stipend - Weekly meal stipend - Learning & Development stipend - Remote / WFH set-up stipend We strongly encourage candidates of all backgrounds to apply. We believe that our work is stronger with a variety of perspectives, and we’re eager to further diversify our company. If you have a background that you feel would make an impact at Phantom, please consider applying. We’re committed to building an inclusive, supportive place for you to do the best work of your career. By submitting your resume and application materials, you acknowledge and agree that Phantom Technologies, Inc. ("Phantom") collects and processes your personal information (including application materials, interview records, and related data) to evaluate your candidacy. Phantom may use AI-powered tools and third-party service providers for transcription, note-taking, scheduling, and other administrative tasks. Phantom does not sell your information and your materials will be handled securely and in accordance with applicable data protection laws.

Location: UK, London Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE We are looking for an IT Systems Administrator, who is also a genuine Atlassian specialist. You will be the go-to expert for Jira and the wider Atlassian suite, owning its configuration, governance and continuous improvement. You will also be a hands-on member of the IT team, picking up day-to-day support and a mix of general IT projects as needed. Roughly 50-60% of your time will be spent on Atlassian administration and optimisation, with the remainder on general IT support and operations.   WHAT YOU'LL DO ATLASSIAN / JIRA ADMINISTRATION (PRIMARY FOCUS) - Act as subject matter expert and system owner for Jira (Software, Work Management and/or Service Management) and Confluence, and where applicable Bitbucket, Trello and Jira Product Discovery - Design, build and maintain projects, workflows, issue types, custom fields, screens, permission schemes and notification schemes - Manage user provisioning, groups, roles, licences and access controls, including SSO/SCIM integration - Build and maintain automation rules, dashboards, filters and reports to support teams across the business - Partner with stakeholders (Engineering, HR, Finance, Operations, etc.) to translate process requirements into effective Jira configurations - Maintain governance and best practice: naming conventions, configuration standards, and clean-up of unused projects, fields and workflows - Manage marketplace apps and integrations (e.g. Slack, Microsoft Teams, GitHub/GitLab, Okta/Entra ID), including vendor and renewal coordination - Plan and execute upgrades, migrations (Cloud/Data Center) and consolidation work, with appropriate testing and change communication - Create documentation, training materials and guidance for end users, and run onboarding or "office hours" sessions - Monitor performance, audit logs and security settings, and keep the platform compliant with company policy GENERAL IT SUPPORT AND OPERATIONS - Provide first and second-line support for hardware, software, accounts and access issues - Onboard and offboard staff: set up accounts, devices and licences - Administer core business tools such as Microsoft 365 / Google Workspace, identity and MDM platforms, and collaboration tools - Support endpoint management (Windows, macOS, mobile) including imaging, patching and asset tracking - Assist with network, printer, meeting room and AV support where required - Contribute to IT projects, vendor management, procurement and documentation - Follow and help improve IT security practices (MFA, access reviews, device compliance)   WHAT WE'RE LOOKING FOR ESSENTIAL SKILLS AND EXPERIENCE - Proven experience (typically [3+] years) administering Jira in a production environment, with a track record of designing and managing workflows, schemes and automation - Strong working knowledge of Confluence and wider Atlassian tooling - Solid understanding of Jira admin concepts: project configuration, permission and notification schemes, JQL, global vs project-level administration - Experience in a general IT, helpdesk or systems administration role - Working knowledge of identity and access management (e.g. Entra ID, Okta, Google Workspace) and SSO concepts - Strong troubleshooting skills and the ability to prioritise competing demands - Excellent communication skills, with the ability to explain technical concepts to non-technical colleagues and gather requirements from stakeholders - Comfortable working independently and taking ownership DESIRABLE - Atlassian certification(s), e.g. ACP-120 (Jira Administration), ACP-620 (Cloud Administration) or similar - Experience with Jira Service Management, ITSM processes (ITIL) or Assets/Insight - Experience with Atlassian Cloud and/or Data Center migrations - Familiarity with the Atlassian REST API, ScriptRunner or light scripting (Python, PowerShell, Bash) - Experience with MDM tools (Intune, Jumpcloud) and SaaS administration - Exposure to Agile ways of working (Scrum, Kanban) - Understanding of security and compliance frameworks (ISO 27001, SOC 2)   WHAT WE OFFER - Competitive equity: stock options with meaningful upside as we scale. - 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown). - Private healthcare, including virtual and in-person care. - Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in-office. - Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. - Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.

Location: Intellias Meet your recruiter Viktoriia Tochylova viktoriia.tochylova@intellias.com https://www.linkedin.com... Vacancy details AI/ML Engineering Machine Learning Engineer Senior Bulgaria, Croatia, Poland, Portugal, Spain Remote APPLY NOW REFER A FRIEND Over 20 years of market experience, Intellias brings together technologists, creators and innovators in Europe, North and Latin America, and the Middle East. Join our international team and take the mission to solve the advanced tech challenges of tomorrow! What project we have for you Join a transformative data and AI platform initiative aimed at modernizing enterprise-scale capabilities and enabling real-time decision-making. This project delivers a comprehensive roadmap covering AI, MLOps, data governance, and platform scalability, supporting a shift towards data-first operations and intelligent automation. What you will do Lead the ideation, design, and execution of AI proofs-of-concept and end-to-end machine learning systems, from research and experimentation through to scalable production deployment. Develop and implement machine learning and AI systems across domains including Computer Vision, NLP, and Generative AI, solving complex business and product challenges. Collaborate cross-functionally with engineering, product management, and business stakeholders to translate business objectives into scalable AI-driven capabilities and production-ready solutions. Architect and maintain production-grade AI systems across the full lifecycle, including data ingestion, feature engineering, model training, retrieval pipelines, orchestration layers, deployment, evaluation, and monitoring. Design and implement Retrieval-Augmented Generation (RAG) pipelines, semantic search systems, and multi-agent workflows, selecting appropriate architectures based on performance, latency, cost, and compliance constraints. Design evaluation frameworks for machine learning and generative AI systems, including offline evaluation, human-in-the-loop validation, automated scoring, and production monitoring. Optimize AI systems for scalability, latency, and cost efficiency, including batching, caching, quantization, and model selection strategies. Design and apply advanced mathematical models and statistical methods to analyze large, multi-modal datasets, including time series, classification, regression, and representation learning tasks. Collaborate on AI architecture decisions and contribute to technical roadmap planning, identifying high-impact opportunities for AI adoption across the organization. Mentor and provide technical guidance to junior ML engineers and data scientists, promoting engineering best practices and a culture of continuous learning. Stay current with emerging research, tools, and architectures in AI and machine learning, proactively evaluating and introducing relevant advancements. What you need for this Required skills: 5+ years of hands-on experience in machine learning, AI research, or data science, with a proven track record of delivering production-grade ML solutions. Master’s or Ph.D. in Computer Science, Data Science, Machine Learning, or a related quantitative field. Strong expertise across core ML disciplines including supervised and unsupervised learning, time series modeling, classification, regression, and model evaluation. Deep hands-on experience developing production systems in Computer Vision, NLP, and Generative AI. Strong experience building LLM-based applications, including RAG pipelines, agentic workflows, semantic search, and tool-using AI systems. Experience designing evaluation frameworks for generative AI systems, including prompt evaluation, hallucination detection, and performance monitoring. Proficiency in Python and modern ML ecosystem including PyTorch, TensorFlow, Hugging Face, NumPy, Pandas, and scikit-learn. Experience with modern LLM orchestration and serving frameworks such as LangChain, LlamaIndex, DSPy, Haystack, or equivalent. Experience deploying and scaling AI systems on cloud platforms (AWS, Azure, or GCP), including managed ML services and containerized deployments. Experience building and maintaining end-to-end ML pipelines, including data processing, model training, deployment, and monitoring. Understanding of responsible AI principles, including bias mitigation, safety guardrails, and governance considerations. Proficiency with version control (Git) and software engineering best practices for collaborative ML development. Excellent communication skills, with the ability to convey complex technical concepts to both technical and non-technical stakeholders. Will be a plus: Experience with MLOps tooling and workflows, including MLflow, Apache Airflow, Terraform, and CI/CD pipelines for model deployment. Experience with model serving and inference optimization tools such as vLLM. Experience working with feature stores, real-time data pipelines, or streaming AI systems. Experience with distributed training or large-scale model training frameworks. Experience with multimodal AI systems (vision-language models, audio-text, document AI). Experience with fine-tuning large language models or parameter-efficient training techniques (LoRA, PEFT, etc.). Experience contributing to open-source ML projects or publications in peer-reviewed venues. An Associate, Professional or Specialty-level certification from one of our strategic technology partners — AWS, Microsoft, Google, Databricks or Anthropic — aligned with your tech stack. What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success.

Location: Intellias Meet your recruiter Khrystyna Derpak khrystyna.derpak@intellias.com https://www.linkedin.com... Vacancy details AI/ML Engineering Machine Learning Engineer Senior Bulgaria, Croatia, Poland Remote APPLY NOW REFER A FRIEND We are seeking a AI Engineer to transition our AI capabilities from “prototype” to “production.” In this role, you will not just experiment with models; you will architect robust Agentic Systems that can plan, reason, and execute complex workflows autonomously for a wide variety of business user needs while experimenting with cutting-edge models and tools to push the boundaries of what’s possible. The ideal candidate is a forward-thinking engineer who thrives on hands-on experimentation with AI models and frameworks, learns quickly, and is naturally curious. You will collaborate closely with product managers, business partners, and platform teams to deliver high-value AI agents that solve real-world problems across the enterprise. What project we have for you Client is a leading multi-brand technology solutions provider to business, government, education and healthcare customers in the United States, the United Kingdom and Canada. A Fortune 500 company and member of the S&P 500 Index, Client was founded in 1984 and employs approximately 10,000 coworkers. For the trailing twelve months ended September 30, 2020, the company generated Net sales over $18 billion. Broad array of offerings range from hardware and software to integrated IT solutions such as security, cloud, data center and networking What you will do Agentic Engineering & Orchestration Workflow Design: Architect complex, multi-agent workflows using Microsoft AI tech stack. Design, Develop and Deploy agents to handle loops, interruptions, and human-in-the-loop interventions. Tool Use & Function Calling: Build reliable “tool layers” that allow LLMs to safely interact with internal APIs, databases, and third-party SaaS platforms (e.g., SalesForce, Workday, ServiceNow etc.) State Management: Design persistence layers to manage agent memory, conversational history, and context windows efficiently. Advanced Data & RAG Strategy Retrieval Pipelines: Build production-grade data retrieval and integration systems. Optimize vector indexing, document chunking, and re-ranking algorithms to ensure high-precision context retrieval. Data Quality: Collaborate with Data Engineers to curate “Golden Datasets” for agent consumption LLMOps, Evaluation & Quality Automated Evaluation: Build CI/CD pipelines for AI that include “LLM-as-a-Judge” testing. Leverage frameworks to score agent outputs for accuracy, hallucination, and safety before deployment. Observability: Instrument applications with tracing tools to visualize agent reasoning chains, monitor latency, and debug failures in production. Cost Optimization: Monitor token usage and latency, optimizing prompt density and caching strategies to maintain high performance at sustainable costs. Innovation & Collaboration Prototyping to Production: Rapidly validate new ideas using state-of-the-art models, then refactor successful prototypes into maintainable, tested production code. Standards Adoption: Stay ahead of the curve by evaluating emerging technologies to standardize agent connectivity. What you need for this Core Engineering Bachelor’s degree and 5 years of software engineering experience, with exposure to AI/ML applications OR 9 years of software engineering experience, with exposure to AI/ML applications. Programming: Strong hands-on experience with Python for AI/LLM application development. Agentic AI: Hands-on experience designing and building AI agents / Agentic AI solutions. LLM APIs: Experience integrating and working with LLM model APIs (e.g., OpenAI, Azure OpenAI, Anthropic, Gemini). AI Specialization 2+ years specifically building with LLMs, with deep familiarity in: Orchestration: LangChain, LangGraph, or similar state-based frameworks. Vector DBs: Pinecone, Weaviate, or pgvector. Prompt Engineering: Advanced techniques (Chain-of-Thought, ReAct, Few-Shot). Production Mindset: Experience not just building demos, but operating them. You know how to handle rate limits, context window overflows, and non-deterministic errors. Soft Skills: Ability to explain “probabilistic software” to non-technical stakeholders—managing expectations that agents are never 100% accurate, but can be 100% useful. Communication: Excellent communication skills, with experience in documenting technical designs, sharing insights, and enabling team knowledge transfer. Nice to Have Microsoft Foundry What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success.

Location: Valencia Workplace: OnSite Role highlights: - Title: Satellite Production Senior Technician, Integration, Mechanical & Thermal - Department: Global Manufacturing Organisation - Reports to: Head of MAITE Spain - Location: Valencia, Spain - Type of Contract: Permanent - Working model: On-site - Employment is subject to applicable security screening (incl. SUPO, where required)   Why this role matters: As a Senior Production Technician, Mechanical & Thermal, you serve as a technical anchor within ICEYE's Mechanical & Thermal Production team in Valencia. You will independently execute complex assembly, integration, and testing activities that require precision, deep technical understanding, and sound judgment. Working closely with Specialists and Production Line Owners, you will lead frontline troubleshooting, ensure process stability, and elevate team capability by mentoring junior technicians, all while maintaining the high standards of flight readiness that ICEYE's satellites demand.   Who We Are ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth. ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system. ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future. Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific. Your day-to-day responsibilities - Perform advanced assembly and integration activities including critical torque and bonding operations, subsystem integration, and complex test setups - Lead the identification and resolution of build and process issues, collaborating with Specialists, AIT Engineering, and Quality to perform root cause analysis and implement corrective actions - Review work instructions, travelers, and checklists for accuracy, providing actionable feedback for revision and initiating improvement projects in safety, reliability, tooling, and efficiency - Act as a coach and role model for junior and standard technicians, providing on-the-job training and transferring best practices across the team - Support Production Line Owners and Team Leaders by preparing test environments, verifying configurations, and contributing technical insight during line meetings - Maintain a clean, organised, and audit-ready work environment compliant with ESD, safety, and cleanliness standards   What we’re looking for Must haves: - Degree in Mechanical Engineering, Aerospace Engineering, or a related technical discipline, or equivalent hands-on experience - 3+ years of practical experience in mechanical assembly or integration, ideally in aerospace or another high-reliability environment - Strong understanding of structural assembly techniques including torqueing, alignment, and thermal hardware application (panels, structures, deployables, pads, pastes, tapes) - Familiarity with aerospace standards (ECSS, IPC, ISO) and cleanroom practices - Proven ability to interpret engineering documentation and translate it into practical work instructions - Strong attention to detail, structured problem-solving, and clear communication skills on the production floor   Nice to haves: - Experience with satellite mechanical subsystems and thermal hardware integration - Exposure to environmental test campaigns (vibration, thermal vacuum) - Experience supporting design-for-manufacturing (DfM) initiatives - Familiarity with ERP or MES systems in a production environment - Knowledge of deployable mechanisms   Application Process - Talent Acquisition Interview - Hiring Manager General Interview - Technical Interview, including a Technical Challenge - Final Interview     Working at ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win.     How We Work (Our Values) - Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions. - See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins.   Benefits Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process.     Our Commitment to Diversity, Equity, and Inclusion We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help. Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.

Location: United States (Remote) Workplace: Remote ROLE SUMMARY As AI agents move into production, they need a foundation that keeps them running through failures, retries, and long waits. Temporal is that foundation, and building AI-native experiences on top of it is paramount to where we are headed. We're looking for a technical, AI-native Staff Product Designer to shape how developers build, run, and scale agents on Temporal, from the agent platform and harness down to the compute and workers that execute them. You'll design with AI and for AI. You use AI as a core part of how you work, and you bring that fluency to the products developers use to run AI in production. You're comfortable going deep on how workers execute tasks, how compute scales, and what it costs, and you turn that depth into experiences that feel simple. This role owns a focused domain while spanning the full developer experience, well beyond our UI. WHAT YOU’LL DO - Design the experiences developers use to build, run, deploy, and observe agentic workloads on Temporal, across Agent Platform, Agent Harness, and Serverless Workers. - Shape the compute experience end to end, from configuring and scaling workers to understanding usage and cost. - Create future state prototypes with your design leadership that show where Temporal's agent and compute experiences are headed, giving Product and Engineering a concrete vision to align roadmaps around. - Work across the surfaces where developers meet Temporal, including the Cloud UI, CLI, SDKs, and documentation. - Design with AI as a daily practice, using it to explore, prototype, and test ideas faster, and bring that perspective into product decisions. - Partner with PMs and Engineers from discovery through delivery to define problems, validate direction, and ship at Temporal's pace and scale. - Contribute to and extend Temporal's Design System for agentic use cases, keeping our expanding product surface consistent. - Bring rigor to ambiguous, technical problem spaces, translating infrastructure complexity into interfaces that feel simple and clear. WHAT YOU’LL BRING - 8+ years of Product Design experience, including senior or staff-level ownership of complex, technical products, with a track record of influencing product direction through strong execution. - A solid understanding of compute and infrastructure concepts such as workers, scaling, queues, and resource usage, and the ability to discuss them credibly with engineers. - A portfolio that shows systems thinking and 0→1 work in developer tools, B2B or infrastructure products, dashboards, or similarly dense, data-heavy interfaces. - Experience designing AI-powered products or agent experiences. - Fluency with AI tools like Claude or Codex in your own design workflow, along with comfort in GitHub and terminal environments. - Hands-on experience with Figma. - Experience partnering directly with Engineering on technically constrained problems, ideally in developer tools, cloud infrastructure, or platform products. - Experience instrumenting and analyzing product usage to inform design decisions. - A bias for building. You prototype quickly, often in code or with AI, and you move through build, ship, learn, and iterate cycles in days rather than weeks. NICE TO HAVE - Working knowledge of distributed systems, workflow orchestration, or durable execution concepts. - Experience with serverless platforms, container orchestration, or cloud compute products. - Familiarity with agentic AI patterns and the challenges of running agents in production. - Familiarity with HTML, CSS, and JavaScript, and comfort reading code. 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: Minsk Workplace: onsite National Retail Solutions (NRS) is a leading provider of point-of-sale, payment, and digital solutions to tens of thousands of independent retailers across the United States and Canada. Processing millions of transactions daily across a rapidly growing network of high-volume retail terminals, NRS generates massive volumes of operational data. To empower our retailers and internal teams with instant insights, NRS is building a state-of-the-art, high-throughput Real-Time Reporting Engine powered by ClickHouse. This strategic initiative involves modernizing our data infrastructure, building scalable analytical pipelines, and delivering sub-second reporting dashboards for large-scale transaction datasets. We are seeking an experienced Technical Project Manager (Data & Reporting Platform) based in Minsk to join our distributed engineering team. In this role, you will lead the end-to-end delivery of our core ClickHouse real-time reporting platform, coordinating cross-functional efforts across backend engineers (Golang/Node.js/PHP), database architects, data engineers, QA, and frontend developers (Vue.js). The ideal candidate possesses strong technical project management fundamentals, a solid grasp of data systems/ETL workflows, and naturally leverages AI workflows (Claude, Gemini) to optimize sprint planning, write technical specifications, streamline documentation, and track technical deliverables. This role requires 3 days a week in-office work at our Minsk office facility to collaborate in person with our engineering team, along with regular remote collaboration with teams in Israel and the U.S. Responsibilities: Program Execution & Technical Project Delivery Lead end-to-end project execution for our ClickHouse real-time reporting platform, managing schedules, sprint backlogs, dependency mapping, and technical milestones. Partner closely with backend developers, data engineers, and UI teams to plan and execute high-throughput data pipelines, data aggregation flows, and reporting API deployments. Manage technical risks, identify pipeline bottlenecks, resolve execution blockers, and establish clear criteria for platform stability and performance testing. Act as a technical bridge between Product Management, System Architects, and Engineering teams to translate complex reporting requirements into clear user stories and technical tasks. Leverage modern AI productivity tools (Claude, Gemini) to accelerate sprint documentation, analyze project risks, summarize technical alignment meetings, and draft comprehensive project specs. Metrics, Stakeholder Management & Status Reporting Establish and maintain KPIs, execution velocity metrics, and project health dashboards in Jira/Confluence. Provide weekly progress updates to senior leadership, including the VP of Technology, CTO, and key business stakeholders. Oversee SLA requirements, data delivery timelines, and release readiness checklists across global teams. Organize and facilitate cross-functional release management, ensuring smooth rollouts with zero downtime for reporting services. Data Integrations & Cross-Team Collaboration Oversee data integration initiatives with third-party platforms, external data feeds, and internal microservices. Understand partner technical specifications, API structures, data schema expectations, and support escalation paths. Lead Agile ceremonies (Sprint Planning, Daily Standups, Backlog Grooming, Retrospectives) for distributed engineering groups across time zones. Required Qualifications: 5+ years of Technical Project Management experience leading complex software development or data engineering initiatives. Proven Data & Platform Project Management Experience: Hands-on experience delivering projects focused on databases, business intelligence (BI), analytics, ETL/data pipelines, or high-throughput reporting systems. Agile & Jira Mastery: Advanced proficiency in Jira (Scrum/Kanban management, roadmapping, custom workflows, automation) and Confluence documentation. Strong AI Integration Capabilities: A habitual and demonstrated workflow using AI assistants (Claude, Gemini) to optimize project planning, write specifications, summarize requirements, and improve delivery velocity. Technical Understanding of Systems Architecture: Solid conceptual understanding of microservices, REST/gRPC APIs, SQL/database architectures, CI/CD pipelines, and cloud environments (AWS). Scope & Risk Management: Proven ability to manage technical debt, negotiate scope trade-offs with product owners, and clear complex engineering blockers independently. Cross-Functional & International Experience: Exceptional team leadership skills with experience working alongside global teams in the U.S. and Israel. Strong Communication: Excellent spoken and written English, comfortable facilitating technical design discussions and executive briefings. Nice to Have: Experience managing projects involving ClickHouse or other columnar/OLAP data stores (Snowflake, BigQuery, Redshift). Background in managing high-availability, low-latency financial, transaction, or POS reporting environments. Familiarity with data visualization tools or reporting dashboards (Grafana, Tableau, Metabase, custom Vue.js dashboards). PMP, PMI-ACP, CSM (Certified Scrum Master), or equivalent Agile/Project Management certifications. Work Schedule & Location: Location: Minsk, Belarus (Office). In-Office Requirement: 3 days per week at our Minsk office facility. Time Zone Overlap: At least 3 hours of daily overlap with U.S. Eastern Standard Time (EST). What We Offer: A central role in delivering a high-impact, real-time data engine for the U.S. retail tech market. Direct collaboration with highly skilled engineering and product leadership in Minsk, Israel, and the U.S. Clear career advancement opportunities within a rapidly scaling data platform team. Competitive compensation package. Our benefits: Hybrid work opportunity! Modern office with free parking in the very center of Minsk. An exciting and challenging job with talented people around. Competitive salary and growth opportunities. Really good hardware. 26 vacation days & 5 fully covered sick days without sick leave required per year. Compensation for professional training, seminars, and conferences. Sports activities reimbursement and loyalty program. Medical insurance. Referral program – get rewarded for helping us grow the team with talented people. Company-supported English classes to enhance your professional growth. A few words about us: IDT Corporation is a global communications company founded in 1990 and headquartered in Newark, New Jersey. We are industry leaders in prepaid communication and payment services and one of the largest international voice carriers. We are listed on the NYSE, employ over 1800 people across 20 countries, and have over $1.5 billion in revenues.We are not ”another big IT corporation”— we encourage and support in-house entrepreneurs in developing their ideas into business actions.   Our National Retail Solutions brandprovides a sales management system and POS equipment to small and medium-sized businesses. With the help of NRS, business owners can solve a management problem: the product includes integrated advertising, data analysis, and payment processing. NRS is now expanding into a completely new vertical: restaurant technology.We are building a brand-new Restaurant POS platform, a modern and highly capable system designed specifically for restaurant operations. This is one of the most significant product expansions in NRS history and will open a major new market for the company.This is a real opportunity to help build something new and important.