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Location: Tel Aviv, Israel Workplace: remote As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com   To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.   OVERVIEW   MAIN PURPOSE OF THE JOB   We are looking for a native Hebrew speaker to join our team as a freelance translator and proofreader with experience in the field of automotive related documents.   This role involves providing Hebrew designations for a conceptual termbase, focusing on terms related to parts, engines, motors, and technologies used in modern trucks and buses.   The ideal candidate will ensure the English definition is the basis for translating, copy-editing and conducting quality checks in his/her native language and locale as well as the accuracy and consistency of terminology across the term base.   The Hebrew Linguist will also need to be fluent in English (UK) as the source terms and all data at concept level is in English UK.    Project Details Location: Remote Employment Type: Freelance/Independent Contract Responsibilities: Task type: Translation, Copy-Editing (CE), Quality Check (QC) Content Specialty: Technical Specifications CAT Tool: working with XTM/Phrase Expected volume: less than 500 words/weekly Hebrew translation, copyediting and conducting quality checks to identify any issues related to grammar, spelling, punctuation, fluency, terminology, consistency, or style. Conduct improvements where necessary. Qualifications: Education: Bachelor's degree in Linguistics, Translation, Terminology Management, or a related field. A Master's degree is a plus. Minimum 3 years' experience translating and reviewing content and conducting quality checks in the specified subject matter. Terminology Management: Proven experience in terminology management, preferably in a professional setting or specialized industry. Familiarity with terminology management principles, processes, and tools is required. Technical Skills: Knowledge of database management, data entry, and file management processes. Domain Knowledge: Strong understanding of terminology specific to the automotive industry, with an emphasis on trucks and buses part denominations and technologies. Understanding of HIM and driving assistance technologies. Attention to Detail: Exceptional attention to detail and a strong commitment to accuracy and precision in terminology management. Collaboration and Communication: Excellent interpersonal skills with the ability to collaborate effectively with cross-functional teams, subject matter experts, and stakeholders. Strong written and verbal communication skills are necessary. Analytical Thinking: Strong analytical and problem-solving skills to analyze complex terminology challenges and provide effective solutions. Terminology Tools: Familiarity with word track changes tool, or Jira, terminology management software and tools is a plus. Experience with database management and file organization is advantageous. Organizational Skills: Ability to manage multiple tasks, prioritize them effectively, and meet deadlines in a fast-paced environment. When you join Welocalize, you have the opportunity to bring your career to the next level: ... receive steady volume of work and long-term partnership {where this applies}  ... professional development: work on exciting projects that will empower you keep learning and growing ... work with multicultural, international team with a great variety of documents and content types   ... 24-hour 6-day a week support from our community team.   If this opportunity sounds appealing to you, apply below.  Job Reference: #LI-JC1

Location: India Workplace: remote About the Role Welo Data is seeking experienced linguists to support a synthetic data generation program for a leading technology client. In this role, you will perform A/B preference testing of machine-generated translations from English into Indic languages, helping to evaluate and improve the quality of AI-generated content.  As a Translation Validator, you will independently review an English source document alongside two machine-generated translations (Variant A and Variant B), select the preferred translation, and provide a written justification for your choice. Each sample is reviewed by three independent validators working in a blind process. Project Details Job Title: Translation Validation - Assamese Location: Remote  Employment Type: Freelance Contract  What You’ll Do

Location: Remote - United States About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role We're looking for a Security Engineer to join our Cloud Security Engineering team. In this role, you'll help strengthen the security of our platform by building and improving the controls that protect our infrastructure. You'll play a key role in making security a core part of how we build, deploy, and scale our systems, while helping the company grow securely and confidently. You'll report to the Security Operations Manager, and this is a hybrid or fully remote within the United States. If you're based within commuting distance of our SF or NY offices, the role includes in-office anchor days on Monday, Tuesday, and Friday. What you'll do Design and implement scalable security controls across our cloud-native platform. Harden infrastructure components using infrastructure-as-code, policy enforcement, and service isolation. Build secure by default infrastructure and code CI/CD pipelines. Collaborate with platform and infrastructure teams to integrate security best practices into architecture and workflows. Stay ahead of cloud security trends and adopt cutting-edge technologies to enhance platform resilience. Conduct threat modeling, risk analysis, and mitigation planning for critical systems. Drive improvements in monitoring, detection, and incident response at the platform level. Build, deploy and maintain relevant tooling. What you need 8+ years of experience in infrastructure or platform security roles. Deep understanding of secure cloud infrastructure (AWS/GCP), identity and access management, and system hardening. Proficient with tools like Terraform, CDK, Kubernetes, and CI/CD security. Skilled at balancing engineering realities with principled security practices. Proven track record of shipping secure, resilient systems at scale. Bonus if you Have built or scaled security automation pipelines. Contributed to open-source security projects or tools. Hold certifications such as GCP Security Engineer, AWS certifications, CISSP, or OSCP. Hold a bachelor's or master's degree in Cybersecurity or similar disciplines. Benefits & Compensation: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA base pay range for this role is $208,000.00 - $312,000.00. This salary range is an estimate. Actual salary will be based on job related skills, experience and location. Pay ranges outside San Francisco may be adjusted based on employee location. The total compensation package also includes benefits and equity-based compensation. Your recruiter can share more about the specific pay range for your location during the hiring process. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Location: Paris ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. About The Job   Mistral AI is seeking a Applied AI Engineer to facilitate the adoption of its products among customers and collaborate with them to address complex technical challenges.   The Applied AI team is Mistral's customer-facing technical organization. We work directly with enterprise clients from pre-sales through implementation to deploy cutting-edge AI solutions that deliver measurable business impact.   Our team combines deep ML expertise with strong customer engagement skills, operating like startup CTOs who own end-to-end project execution. By joining the team you'll will bridge the gap between cutting-edge AI research and real-world enterprise applications, ensuring our solutions are robust, scalable, and aligned with both customer needs and Mistral's technological vision.   What you will do   - You’ll individually help deploy into production use cases with a considerable business impact across various industries. - You’ll work on state-of-the-art GenAI applications from consumer products to industrial use cases, driving with our customers a crucial technological transformation. - You’ll work in collaboration with our researchers, other AI engineers, product engineers on our most complex customer projects involving complex fine-tuning, state-of-the-art LLM applications, and contributing to our open-source codebases our open source codebases for tasks such as inference and fine-tuning. - You’ll be involved in pre-sales calls to understand potential clients' needs, challenges, and aspirations. You will provide technical guidance on our products and explain Mistral technologies to various stakeholders. - Your collaboration with our product and science team to improve continuously our product and model capabilities based on customers’ feedback   How We Work in Applied AI   - We care about people and outputs. - What matters is what you ship, not the time you spend on it - Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to. The best idea wins, whether it comes from a principal engineer or someone in their first week. - Always ask why. The best solutions come from deep understanding, not from copying what worked before - We say what we mean. Feedback is direct, timely, and given because we care. - No politics. Low ego, high standards. - We embrace an unstructured environment and find joy in it.   About you   - You are fluent in English - You have 2+ years as a technical individual contributor (data scientist or software engineer) on AI-based products - You have proven experience in AI or machine learning product implementation with APIs, back-end and front-end interfaces. - You have experience in Fine Tuning LLMs, tackling advanced RAG or agentic use cases - You have deep understanding of concepts and algorithms underlying machine learning and LLMs - You have strong technical coding skills in Python - You hold strong communication skills with an ability to explain complex technical concepts in simple terms with technical and non-technical audiences   Ideally you have: - Contributed to open-source projects in particular in the space of LLMs - Experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect or Technical Product Manager - You have experience with deep learning with Pytorch Why join us?   You’ll have the opportunity to shape the future of AI adoption in enterprises, work with a world-class team, and contribute to open-source projects that impact millions. If you’re excited about leading technical innovation and solving real-world challenges with AI, we’d love to hear from you! WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Задачи: - Управление AI-продуктами от идеи до вывода в прод. - Участие в проработке AI-стратегии кластера (Roadmap, KPI, приоритизация инициатив). - Проработка архитектуры AI-решений. - Координация команд: Data Scientists, ML-инженеры, Data Engineers. - Решение проблем масштабирования моделей и качества данных. - Запуск PoC и MVP AI-продуктов. - Оптимизация инференса моделей (скорость, стоимость, точность). - Дообучение open-source моделей под задачи бизнеса. Требования: - Образование: высшее. - Опыт работы: от 5 лет на релевантной позиции. - Опыт в предметной области AI. - Опыт коммерческой разработки, развитый технический кругозор. - Навыки презентации для C-level с ценностными тезисами. - Agile/Scrum для ML-проектов. - Языки: Python, SQL. - ML/DS: scikit-learn, TensorFlow/PyTorch, Hugging Face, LangChain. - MLOps: MLflow, Kubeflow, Airflow, Docker/Kubernetes. - Данные: Spark, DWH (BigQuery, Snowflake), векторные БД (FAISS, Pinecone). - Опыт управления коллективом: обязателен. Требования к личным качествам: - Лидерство, выстраивание коммуникаций, синхронизация работ, критическое мышление, предпринимательский mindset, адаптивность. Знание стека: - LangChain, Kafka, K8s, LLM-модели, NLP-модели — embedding, NER, classification.

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. WHY THIS BET Most humanoid efforts are racing toward fully general-purpose bipeds with five-fingered hands. We made a different call — informed by direct customer conversations and a team that has actually deployed robots at fleet scale in prior companies. Our wedge is the practical one: wheeled industrial humanoids that solve real customer problems today, on a generalized hardware platform with generalized learning paradigms. What that means for the role: The combination of generalized hardware and generalized learning lets us deploy and integrate astonishingly fast — high-performance capability landing in customer facilities in days to weeks, not quarters. Industrial customers used to the multi-quarter integration cycles that are the industry norm consistently tell us this looks different. It is. HOW WE THINK ABOUT AI The AI stack is our long-term flywheel. We are aggressively pushing the envelope on modern robot learning — fleet learning, embodied agents, foundation models for autonomy — and leveraging AI agents across the product workflow itself. The platform is generalized enough that a capability trained once propagates across every robot in the field. Our public AI white paper has more: https://thehumanoid.ai/ai/ ABOUT THE ROLE As VP of Industrial Product Engineering, you will be the single engineering owner of industrial product delivery — the person who, across hardware, software, AI, and system integration, makes sure what we ship is what our customers actually need, in the order they need it, on the timeline they need it. You won't run a siloed sub-org. You will work as a peer to our functional engineering leaders — hardware, software, AI, test — leading prioritization for engineers dedicated to the industrial product. Think of this as a technical GM for industrial: you own what and when; you partner with functional leads who own how. This role reports directly to the CTO. WHAT YOU'LL DO - Own end-to-end engineering delivery for the industrial product — from design, through pilots, through scale and iteration in the field — across HW, SW, AI, and system integration & test. - Direct prioritization for the engineers hard-allocated to industrial across our matrixed functions (industrial / common / home). Partner closely with functional leads on shared platform work, and with Ops on manufacturing readiness. - Be the single source of truth on industrial engineering delivery and forward roadmap for the CEO, Commercial team, Product, and customers. - Build a delivery engine that releases production software on a fast, predictable cadence and that scales beyond the first industrial product line. WHAT YOU BRING - 15+ years in engineering leadership, with a track record of shipping multi-disciplinary HW/SW/AI products at meaningful scale. - Software-biased background. Most of the long-term work here is software and AI — deployment, fleet learning, capability iteration. We need a leader whose center of gravity is software, with the HW and AI fluency to drive us to a world-class holistic product. - Deep understanding of the industrial market — what real industrial customers in logistics, manufacturing, automotive and adjacent verticals actually buy, integrate, and rely on. UK or EU industrial experience is a strong plus; US industrial deployment experience is equally valued. - Demonstrated ability to lead through influence in a matrix — you have driven outcomes across teams you didn't directly manage, and you can show how. - You have taken product from zero to one, and have delighted customers with innovative solutions to solve their real pain points. - Deep technical credibility across HW, SW, and modern AI — enough to debate functional leads as a peer, not just review their work. - Comfort operating across distributed teams (London, Boston, Vancouver, San Diego). - Calibrated for the pace of a company moving from prototype to production at the same time it's raising and growing. WHAT SUCCESS LOOKS LIKE AT 12 MONTHS - Long term pilots transition smoothly into scaled deployments at multiple customer locations. - Robots in reliable operation around the clock, delivering to strict SLAs. - HW, SW, and AI are all moving at best-in-class quality — none of the three is sacrificed to hit a near-term gate. LOCATION London required. The role requires daily proximity to the people you'll be coordinating with across engineering/ops/product/business. 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.

Обязанности: • Участвовать в разработке продукта и развитии общей архитектурной концепции. • Работать в мульти-рольном формате: участвовать в смежных задачах (интеграции, UI, инфраструктура), когда это нужно. • Разрабатывать и поддерживать проектную документацию (модули, API, схемы, архитектуру). • Участвовать в тестировании, улучшении UX и стабилизации продукта. • Предлагать улучшения, оптимизировать процессы, повышать скорость разработки и качество кода. • Вести коммуникацию внутри команды, синхронизировать задачи, версии и сроки релизов. Требования: • Готовность работать в стартап-динамике, быстро переключаться между задачами. • Проактивность: умение предлагать решения, а не просто выполнять. • Хорошие коммуникативные навыки, умение работать автономно и в команде. • Понимание современных цифровых продуктов, AI-экосистемы и архитектуры веб-приложений. • Владение современным стеком (React / Vue / Next / Flutter / RN / Node / Python / Go — по профилю). • Навыки разработки интерфейсов, интеграции API, работы с состоянием, модульной архитектурой. • Понимание принципов CI/CD, оптимизации производительности и качества кода. • Плюсом: опыт с WebSockets, PWA, Low-Code редакторами, AI инструментами, Web3-авторизацией. • Опыт с Docker, CI/CD, Linux. • Понимание облаков (Vercel / AWS / GCP / DigitalOcean). • Навыки обеспечения стабильной работы сервисов и окружений. Условия: • Формат: удалённо, гибкий график. • Работа в мульти-задачной среде с быстрыми релизами и живой архитектурой. • Возможность влиять на продукт, новые модули и технические решения. • Доли / опционы / токены (по согласованию). • Участие в подаче грантов (ФСИ, Старт, Сколково, UMNIK). • Реальный рост роли и быстрый переход в core-team при успешном финансировании. • Возможность стать руководителем направления (Frontend, Fullstack, Mobile, AI, DevOps, Web3). • Доступ к передовым AI-инструментам, внутренним моделям и инфраструктурным сервисам. • Возможность релизить open-source модули, публиковаться, выступать. • Доступ к премиальным инструментам разработки и AI-модулям. • Возможность роста в R&D, архитектуру, руководство направлением.

Location: Kundl, Austria D-ploy is a company specializing in IT and Engineering Solutions, with projects worldwide, including in Switzerland, Germany, the Czech Republic, Austria, the United Kingdom, and the United States. We are proud to provide outstanding and innovative services to numerous industry-leading clients. By building strong relationships and trusted partnerships within the IT community, we optimize our clients' IT productivity and contribute to their business success and core values. We are looking for dedicated, flexible, and solution-oriented individuals who would like to work on-site in Kundl and become part of a dynamic, rapidly growing, and international organization. The candidate will be responsible for the end-to-end physical deployment and logical validation of network infrastructure. You will be expected to diagnose issues across Layers 1, 2, and 3 of the OSI model, ensuring that physical connectivity aligns with logical configurations. Responsibilites Advanced Device Racking & Mounting Precision Placement: Interpret and execute Rack Elevation Diagrams (REDs) to mount high-density chassis (Cisco Nexus 9k, Catalyst 9500) and 1U/2U appliances. Mechanical Safety: Ensure proper use of rack rails, cage nuts, and stabilization kits. Manage weight distribution to maintain rack integrity. Power Sequencing: Connect dual-homed power supplies to diverse PDU sources (A+B feeds) and perform "pull tests" to verify seating. Structured Cabling & Fiber Management Fiber Optics: Expert-level handling of Single Mode (SMF) and Multi-Mode (MMF) fiber. Proficiency in cleaning connectors (IBC cleaners) and inspecting end-faces with fiber scopes. SFP/Transceiver Management: Correctly identify and install SFP, SFP+, QSFP+, and QSFP28 modules. Troubleshoot "link down" issues by verifying wavelength compatibility (e.g., 850nm vs 1310nm) and light levels. Patching & Labeling: Execute high-density patching in accordance with ANSI/TIA-606-B standards. Ensure every cable is labeled at both ends with Near-End/Far-End information. Patch Panels & Cross-Connects Circuit Extensions: Coordinate with Telco providers to extend circuits from the Meet-Me-Room (MMR) to the local rack via cross-connects. Patch Panel Termination: Manage copper (RJ45) and fiber (LC/SC/MPO) patch panels. Perform "light-checks" using Visual Fault Locators (VFL) to trace paths through multiple patches. Media Conversion: Deploy and troubleshoot media converters or transceivers when transitioning between different physical media types. Remote Management & Console Access Out-of-Band (OOB) Setup: Configure and cable Terminal Servers (e.g., Opengear, Lantronix, or Cisco ISR) to provide permanent remote console access to all managed devices. Serial Connectivity: Troubleshoot baud rate mismatches, roll-over cables, and DB9-to-RJ45 adapters to ensure the NOC has a reliable "backdoor" during outages. Local Support: Be prepared to connect locally via laptop and serial-to-USB adapters to provide a "live stream" of boot sequences or BIOS-level troubleshooting. Advanced Routing & Switching Knowledge L1 Fundamentals : Strong working knowledge in ethernet , Gigabit Ethernet, Serial , fiber cabling, transceivers (Arista, Cisco SFP+, QSFP+), SFP, PIC, NIM, HA ports, power supplies, patching and troubleshooting, with knowledge of DWDM and experience in handling 10/20/40 Gig Fiber links L2 Fundamentals: Configure and troubleshoot VLANs, VTP, and Spanning Tree Protocol (STP), Port mirroring, packet captures . Must understand how to identify and resolve broadcast storms or physical loops at the rack level. L3 Fundamentals: Assist in the bring-up of Layer 3 interfaces (SVIs and Routed Ports) . Basic knowledge of prefix lengths and IP addressing to verify gateway connectivity. Protocol Verification: Use CLI commands to verify BGP and OSPF neighbor adjacencies after physical circuit hand-offs or cross-connect installations. EtherChannel/LACP: Provision and troubleshoot Link Aggregation Groups (LAGs). Ensure that physical cabling matches the logical member-port configuration on the switch. Requirements Experience: 6–8 years in a Data Center or large Enterprise campus environment. Ethernet, Fiber cabling, Hardware : Experience in installation of ethernet, fiber cabling on Cisco, Arista and Palo Alto, F5 load balancers and its associated components like SFP, PIC, NIM, DPC Routing and Switching: Ability to navigate Cisco IOS, NX-OS, PAN OS or Arista EOS to perform show commands and basic interface configurations. Tools: Proficiency with Visual Fault Locators (VFL), Light Meters, and Fiber Inspection Scopes. Certifications: CCNA or equivalent is mandatory ; CCNP Enterprise (ENCORE) is highly preferred to demonstrate routing and switching proficiency. Experience in handling mission critical network incidents/problems in Enterprise network Large campus networks and Data center,  is preferred. Fluency in English and German (C1) Candidates must be able to present a Criminal Record (not older than 3 months). Benefits A wide range of activities, responsibilities, and projects Vouchers and gifts (birthday voucher, wedding gift, and newborn baby surprise) Fishing for Friends Program – our employee referral program Opportunities for professional development and career advancement A friendly and international working environment Company-sponsored events Compensation is provided in accordance with the Austrian IT Collective Agreement. Depending on qualifications and professional experience, there is a willingness to offer a salary above the collective agreement level. Is IT in your DNA? Join us and help deliver IT where it counts.

Location: United States About Our Client: Our client is a modern survey programming company that empowers consultants and investors to get deep insights faster. They specialize in time-critical market research surveys, enabling clients to quickly build surveys and access actionable, high-quality data. Their fully remote team spans over 40 cities worldwide, and their leadership comes from top consulting and investment backgrounds. Position Overview: As an Account Executive you will drive new business development and manage strategic accounts with full ownership of the sales cycle, from prospecting to closing. As an individual contributor you will be hunter-heavy, focused on expanding the company’s footprint within private equity and consulting clients. The ideal candidate has a proven book of business, thrives in a fast-paced environment, and brings a strong track record in primary research sales. Key Responsibilities: Drive new business development with private equity firms, consulting firms, and other strategic clients. Leverage and expand existing networks to identify and close high-value opportunities. Act as the primary point of contact for strategic accounts, managing the full sales cycle from prospecting to contract negotiation and close. Collaborate with internal teams (survey engineering, product, client success) to deliver tailored solutions that meet client needs. Maintain up-to-date knowledge of the market, competitive landscape, and client needs to position the company as the leading solution for fast, reliable survey-based insights. Ideal Candidate: Experience selling research, insights, or data-driven solutions to private equity, consulting, and/or investment clients. Proven track record of closing high-value deals and maintaining a strong book of business. Hunter mentality: highly proactive in sourcing and pursuing new business opportunities. Exceptional relationship-building, negotiation, and strategic selling skills. Legally authorized to work in the U.S. and comfortable with occasional travel. Why Join: High-impact role with direct influence on revenue growth and company strategy. Work closely with an experienced leadership team and senior decision-makers. Own your territory and deals, and be recognized for your individual contributions.

Location: Yerevan, Armenia Please, note! The working schedule for this position is from 8:00 till 16:30 We are looking for a Junior QA Engineer/Intern to perform as Playtester as a part of the mobile AAA game development team and develop themselves into a solid GameDev QA Engineer. Playtest is your ticket to the creative world of GameDev and a great opportunity to get earliest possible access to newest games and features. You will be the one who will help make games better for players all around the world! Job responsibilities (optional) Passionate gamer with knowledge of various genres and titles. Run smoke and playthrough tests on a daily basis; Perform functional, regression, compatibility, performance and ad-hoc testing; Investigate and localize issues; Playtests sessions; Creating checklists; Report detected defects into the bug tracking system; Actively communicate with the team. Requirements Experience in alpha/beta test sessions on any platform. Experience in mobile game testing and work as QA Engineer will be your advantage; Experience with bug tracking and source control utilities; Good written English; Good communication skills. Benefits Working with an international team of world-class professionals on exciting and challenging projects; Learning & Development opportunities – mentoring, lectures, participation at industry conferences and events; Medical Care package; Sensibly flexible working hours; Breakfasts, snacks and fruits available during the day, tea and coffee machines; Friendly team and a family-like environment; Additional benefits – care bonus to cover health, educational and safety needs. Role Information: EN Studio: Sperasoft Location: Armenia, Yerevan Area of Work: Engineering Service: Create Employment Type: Full-time, Permanent Working Pattern: Office

Location: Canada (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we would be interested in applicants from Canada time zones only at this time. Staff AI Engineer The Opportunity: At Grafana, we build observability tools that help users understand, respond to, and improve their systems – regardless of scale, complexity, or tech stack. The Grafana AI teams play a key role in this mission by helping users make sense of complex observability data through AI-driven features. These capabilities reduce toil, lower the barrier of domain expertise, and surface meaningful signals from noisy environments. What makes our team different is how we work: we operate with a high degree of autonomy and ownership, both as individuals and as a team. Engineers are empowered to make decisions, move quickly, and validate ideas early – while being supported by a deeply collaborative culture that values curiosity, feedback, and cross-functional partnership. We’re looking for an AI Software Engineer with a strong software engineering background, a quick iteration mindset, and a passion for experimentation – balanced by a focus on shipping and scaling impactful features that deliver value to users. You’ll work closely with cross-functional teams to develop, test, and ship AI-powered features that contribute to improving infrastructure and observability quality through automation, while also expanding the capabilities of AI agents across the observability stack to assist users with incident response. As the team matures, there’s a broad opportunity to expand or redefine this role based on impact and initiative. Curious about what it's like to build AI at Grafana? Learn more about the team's philosophy, culture, and approach here . What You’ll Be Doing: Build and deliver AI solutions: Take ownership of developing high-performance AI features to help users detect, triage, and resolve incidents using observability data and tools. Rapid experimentation and iteration: Implement a highly iterative process where you quickly prototype, test, and validate with real users, including shipping and evolving LLM- or agent-powered workflows for incident lifecycle management and automated analysis tasks. Collaborate cross-functionally: Work with data analysts, product managers, and designers to shape AI-driven product features, including integration of agentic components with internal tools, alerting systems, runbooks, and developer workflows. Utilize AI tools effectively: Use AI and automation tools to enhance both product functionality and your own development workflows. Effective communication: You’ll be working in a highly dynamic and collaborative environment, so we need someone who can communicate effectively and contribute across teams. Ownership and impact: Take full ownership of the AI solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows. We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google. What Makes You a Great Fit: Strong engineering skills: Solid experience building production software systems (backend and / or full stack). You’re a self-starter, capable of tackling complex engineering problems with minimal supervision. AI experience with a practical mindset: You’re familiar with AI technologies and frameworks, and you focus on delivering high-quality solutions that work in the real world, not just in theory. Quick iteration and experimentation: You’re comfortable releasing prototypes, collecting feedback, and iterating with a pragmatic mindset. Proven initiative: You take ownership and drive projects forward, pushing boundaries to find the most impactful solutions. You can deal with ambiguity and are able to define scope where things are loosely defined. Collaborative attitude: You communicate effectively with peers, product managers, and designers. You’re open to feedback, and you bring a solutions-oriented mindset to the table. Requirements: Experience with LLMs, prompt engineering, and building applications powered by GenAI. Proven track record of delivering software that made it into production and is actively used by users. Exposure to working in cloud-native environments (e.g., AWS, GCP, Azure). Experience using observability tools to understand and troubleshoot system behavior. Bonus Points For: Experience building or working with agent frameworks or multi‑agent workflows. Experience with infrastructure / devops related tooling: Kubernetes, Docker, Terraform or similar for deployments. Familiarity with model fine-tuning techniques. Experience building observability tooling. Compensation & Rewards: In Canada, the Base compensation range for this role is CAD 186,368 - CAD 230,000. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: United States (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we would be interested in applicants from USA time zones only at this time. Staff AI Engineer The Opportunity: At Grafana, we build observability tools that help users understand, respond to, and improve their systems – regardless of scale, complexity, or tech stack. The Grafana AI teams play a key role in this mission by helping users make sense of complex observability data through AI-driven features. These capabilities reduce toil, lower the barrier of domain expertise, and surface meaningful signals from noisy environments. What makes our team different is how we work: we operate with a high degree of autonomy and ownership, both as individuals and as a team. Engineers are empowered to make decisions, move quickly, and validate ideas early – while being supported by a deeply collaborative culture that values curiosity, feedback, and cross-functional partnership. We’re looking for an AI Software Engineer with a strong software engineering background, a quick iteration mindset, and a passion for experimentation – balanced by a focus on shipping and scaling impactful features that deliver value to users. You’ll work closely with cross-functional teams to develop, test, and ship AI-powered features that contribute to improving infrastructure and observability quality through automation, while also expanding the capabilities of AI agents across the observability stack to assist users with incident response. As the team matures, there’s a broad opportunity to expand or redefine this role based on impact and initiative. Curious about what it's like to build AI at Grafana? Learn more about the team's philosophy, culture, and approach here . What You’ll Be Doing: Build and deliver AI solutions: Take ownership of developing high-performance AI features to help users detect, triage, and resolve incidents using observability data and tools. Rapid experimentation and iteration: Implement a highly iterative process where you quickly prototype, test, and validate with real users, including shipping and evolving LLM- or agent-powered workflows for incident lifecycle management and automated analysis tasks. Collaborate cross-functionally: Work with data analysts, product managers, and designers to shape AI-driven product features, including integration of agentic components with internal tools, alerting systems, runbooks, and developer workflows. Utilize AI tools effectively: Use AI and automation tools to enhance both product functionality and your own development workflows. Effective communication: You’ll be working in a highly dynamic and collaborative environment, so we need someone who can communicate effectively and contribute across teams. Ownership and impact: Take full ownership of the AI solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows. We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google. What Makes You a Great Fit: Strong engineering skills: Solid experience building production software systems (backend and / or full stack). You’re a self-starter, capable of tackling complex engineering problems with minimal supervision. AI experience with a practical mindset: You’re familiar with AI technologies and frameworks, and you focus on delivering high-quality solutions that work in the real world, not just in theory. Quick iteration and experimentation: You’re comfortable releasing prototypes, collecting feedback, and iterating with a pragmatic mindset. Proven initiative: You take ownership and drive projects forward, pushing boundaries to find the most impactful solutions. You can deal with ambiguity and are able to define scope where things are loosely defined. Collaborative attitude: You communicate effectively with peers, product managers, and designers. You’re open to feedback, and you bring a solutions-oriented mindset to the table. Requirements: Experience with LLMs, prompt engineering, and building applications powered by GenAI. Proven track record of delivering software that made it into production and is actively used by users. Exposure to working in cloud-native environments (e.g., AWS, GCP, Azure). Experience using observability tools to understand and troubleshoot system behavior. Bonus Points For: Experience building or working with agent frameworks or multi‑agent workflows. Experience with infrastructure / devops related tooling: Kubernetes, Docker, Terraform or similar for deployments. Familiarity with model fine-tuning techniques. Experience building observability tooling. Compensation & Rewards: In the United States, the Base compensation range for this role is USD 174,986 - USD 220,000. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here . All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: United Kingdom; Dubai; Spain Workplace: remote Help Us Build The Future of Travel At Airalo, we're making it easier for people to stay connected wherever they travel. As the world's first eSIM store, we help millions of travelers access affordable mobile data in 200+ countries and regions around the world. Today, we're a team of 400+ people across 60+ countries, building a product used by travelers every day. We've grown quickly, but we've worked hard to keep what matters: trust, ownership, and the freedom for people to do great work without unnecessary layers or bureaucracy. We're fully remote by design, genuinely global, and united by a shared mission to make travel simpler for everyone. Your Next Destination Location: Remote, anywhere in Spain, the UK, or the UAE. Contract: Spain: Full-time, permanent contrato indefinido via Deel (our employer of record in Spain) UK: Full-time, permanent (local contract) UAE: Full-time, permanent via Deel (our employer of record in the UAE) Benefits: Learn more about our benefits here in this link - https://airalo-public.notion.site/Benefits-25396a97ffca81fb9bc1f0be479f1be3?pvs=74  Languages: English is our main working language day to day, so you'll need to be comfortable communicating in it both in meetings and async. Curious what it's actually like to work at Airalo? We've put together a guide for each of the hubs we hire from most, covering our benefits, remote culture, employment setup, and what our team values most: Life at Airalo · España: https://airalo-public.notion.site/life-at-airalo-espana Life at Airalo · United Kingdom: https://airalo-public.notion.site/life-at-airalo-united-kingdom Life at Airalo · United Arab Emirates: https://airalo-public.notion.site/life-at-airalo-united-arab-emirates   We are hiring the Procurement Lead to build the procurement function and policy from the ground up and drive standardization and savings across our largest spend categories: Networks, Sales & Marketing, and IT/Software. You will design how Airalo buys, embed a disciplined purchase-to-pay process into our new ERP, and turn fragmented, function-by-function spending into a governed, competitive, and auditable process, and drive savings to every dollar we spend with third parties. This is a senior role for a builder who will set the policy, run the high-value negotiations, and deliver hard savings that fund growth and protect EBITDA. You will report to the CFO and partner across every spending function in the company. What you'll do: Procurement policy & governance Design and roll out Airalo's procurement policy, delegation-of-authority thresholds, supplier onboarding, and competitive-tendering standards. Establish clear, proportionate approval workflows that bring control without slowing the business. Category management Own the category strategies across the major spend areas: network and infrastructure spends, S&M (agencies, media, martech), IT and SaaS, and professional services. Build single source of truth with spends visibility and a vendor taxonomy so we know what we buy, from whom, and on what terms; build standardization and a framework to adhere to credit terms. Maintain a validated savings pipeline reported with Finance, and ensure segregation of duties, audit trail, and anti-fraud controls aligned to the SOX-lite framework. Strategic sourcing & negotiation Lead competitive sourcing and high-value negotiations on a total-cost-of-ownership basis; set and deliver savings targets and improve working capital. Partner with Finance's zero-based budgeting and the process to convert sourcing wins into budgeted savings; Supplier & contract management Own master agreements, a renewals calendar, supplier performance, and third-party risk and due diligence. Purchase-to-pay process & systems Follow through the PO/PR process and three-way match, support clean accruals, and embed procurement into the ERP as a core stakeholder. What you'll bring: 10+ years in procurement, strategic sourcing, or commercial / category management, including building or materially scaling a procurement function in a fast-growth company. Deep category expertise across indirect spend (marketing, IT/SaaS, professional services); exposure to network, telecom, or infrastructure spend like capacity, routing, wholesale in a must have. Track record of running competitive tenders and complex negotiations with measurable, validated savings. Hands-on experience designing PO/PR and purchase-to-pay processes, potentially within an ERP (SAP, Oracle, or Microsoft) environment. Strong command of procurement policy, delegation of authority, supplier risk, and controls. Influence without authority: credible with senior leaders across Networks, Marketing, and Technology, able to change buying behaviour with evidence. Preferred Experience Experience in a high-growth company, including controls and audit-readiness maturity. Direct involvement in an ERP / P2P implementation. Comfort operating in a globally distributed, multi-currency, multi-jurisdiction business. Why People Join Us 🇪🇸 Why people join us in Spain We started Airalo to make staying connected effortless, wherever you are in the world. Today, millions of travelers rely on our eSIMs, and many of the people building the product were customers first. Our team is united by a shared belief that great work happens when people are trusted to own what they do. As Airalo continues to grow, so do the opportunities to learn, take on new challenges, and make a real impact. For many of our teammates in Spain, it's the combination of stability, flexibility, and genuine work-life balance that makes Airalo feel like home. 🇬🇧 Why people join us in the UK We started Airalo to make staying connected effortless, wherever you are in the world. Today, millions of travelers rely on our eSIMs, and many of the people building the product first discovered us as customers. Our team spans 60+ countries, but what people often notice quickly is how work actually feels here. There's trust to own what you do, space to focus without constant layers of process, and a clear sense of what you're responsible for from day one. As Airalo continues to grow, people tend to stay for a mix of things: the chance to work on a product used globally, the autonomy to shape how they work, and the opportunity to keep taking on new challenges without getting stuck in one lane. 🇦🇪 Why people join us in the UAE We're a fully remote team across 60+ countries, built on a simple idea: trust people to own their work and deliver without unnecessary layers or heavy process getting in the way. Many people joining us from the UAE are looking for clarity in scope and real ownership in their role. They want to know what they're responsible for, how success is measured, and have direct access to the people making decisions. What often stands out is the combination of a global, product-led company with a flexible remote setup. For many, it's the opportunity to work on a product used by millions of travelers worldwide, alongside a team that moves quickly and values clear ownership and accountability. Before You Hit Apply By applying, you acknowledge and agree that, in case of successful application, Airalo may request to run background checks as a condition for entering into an agreement with you. Rest assured that these checks will only occur upon your prior consent and at the end of the selection process, and will be strictly limited to what is allowed under the laws that are applicable to you. All data that you share or that we collect in connection with such checks will be processed in accordance with our Privacy Policy, available here: www.airalo.com/more-info/privacy-policy?srsltid=AfmBOooBT0rXAj1FaNelZ3VfN0wvhwzvAoxdtHnOKSVETpiSjiXVuycy    We sincerely thank all applicants in advance for submitting their interest in this opportunity. Airalo is an equal-opportunity employer and values diversity, equity & inclusion. We do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to providing reasonable accommodations upon request for individuals with disabilities throughout our job interview process. At Airalo, we believe in roaming-free recruitment. Just as we provide clear connectivity for travelers, we provide clear salary ranges for our candidates. 🌍 Given this role is remote and available to candidates across some countries in Europe, this range represents the full salary range for this role across our available locations in the EU. To ensure equity based on where you reside we use a tiered location model: 📍 UK: £76,800 - £115,200 📍 Spain: €75,200 - €112,800 📍 UAE: 401,200 AED - 576,000 AED Your Home Destination: 🛫 Specific salary ranges used in offers are determined by where you reside. We’re committed to discussing these ranges openly during your first call with our Talent to ensure we’re aligned for takeoff! 🎒✨

Location: Berlin Workplace: OnSite ABOUT PEEC AI Peec AI is the analytics platform for AI search. People increasingly discover products and make buying decisions through ChatGPT, Claude, Gemini, and Google's AI Overviews instead of traditional search, and most brands have no idea where they show up in those answers. Peec gives marketing, SEO, and growth teams the data to see exactly that: how visible their brand is across AI platforms, how they compare to competitors, and where to win. We are defining this category, and the market is moving with us. Peec is a Series A company backed by 20VC and Singular, that went from $0 to $15M ARR in 18 months, with a 100+ person team across our Berlin HQ and our New York office. WHAT YOU’LL DO - Train, test, and ship models that power Peec AI’s recommendations - helping customers boost their visibility in AI search - Develop algorithms that extract actionable insights from AI search behavior, creating data-driven recommendations that help brands increase their AI Search visibility - Own the full model lifecycle from experimentation to production deployment, working closely with engineering to integrate ML solutions into our systems - Design and implement data pipelines to ingest, process, and analyze large volumes of data WHAT WE’RE LOOKING FOR - Proven backend development skills in Python with experience building APIs, data pipelines, or ML infrastructure, and familiarity with tools like FastAPI, Docker, and cloud platforms (preferably GCP) - Deep curiosity about how LLMs work, with the ability to reverse-engineer AI search behavior and translate patterns into actionable product features - Track record of taking projects from research to production in a fast-moving startup environment, with strong problem-solving skills and comfort working with ambiguous, evolving problems - Excellent communication skills with the ability to explain complex technical concepts to customers and stakeholders OUR DATA SCIENCE STACK - Languages: Python, SQL - Libraries: Pandas, NumPy, HuggingFace, PyTorch, TensorFlow, ONNX - Backend: GCP, Cloud Functions, Firestore, Postgres, AlloyDB, BigQuery - AI Models: OpenAI, Claude, Perplexity, Gemini, Llama, etc. BONUS POINTS - Contributions to open-source projects - Deployed side/hobby projects that we can check out - Presented research papers at top ML or AI conferences - Having started a company before or worked at a high-growth startup - Fluency in Typescript WHAT WE OFFER - Exciting and challenging work with real impact and ownership at one of Europe’s fastest-growing Series A startups - Regular team events and off-sites - Aggressive equity compensation package - Paid Dinner & Uber home when working late - The most beautiful office space and work environment in Berlin

Location: Tel Aviv, Israel Workplace: remote As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com   To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.   OVERVIEW   MAIN PURPOSE OF THE JOB   We are looking for a native Hebrew speaker to join our team as a Terminologist.   This role involves providing Hebrew designations for a conceptual termbase, focusing on terms related to parts, engines, motors, and technologies used in modern trucks and buses.   The ideal candidate will ensure the English definition is the basis for creating/establishing the terms in his/her native language and locale as well as the accuracy and consistency of terminology across the term base.   The Hebrew terminologist will also need to be fluent in English (UK) as the source terms and all data at concept level is in English UK. The terminologist should be able to support the terminology choices with the market validators who will review the Hebrew designations. Responsibilities: Terminology Management: Develop and maintain the Hebrew termset in a multilingual terminology database for terms related to parts, engines, motors, and technologies in modern trucks and buses. Term creation: Provide accurate Hebrew terms, ensuring cultural and technical appropriateness. Standardization: Ensure consistent use of terminology across different components. Research: Stay updated with industry trends and advancements in the automotive sector, particularly in trucks and buses, to ensure the terminology database reflects current standards and practices. Collaboration: Work closely with cross-functional teams to gather input and feedback on terminology usage and requirements. Qualifications: Education: Bachelor's degree in Linguistics, Translation, Terminology Management, or a related field. A Master's degree is a plus. Terminology Management: Proven experience in terminology management, preferably in a professional setting or specialized industry. Familiarity with terminology management principles, processes, and tools is required. Technical Skills: Knowledge of database management, data entry, and file management processes. Domain Knowledge: Strong understanding of terminology specific to the automotive industry, with an emphasis on trucks and buses part denominations and technologies. Understanding of HIM and driving assistance technologies. Research Skills: Proficient in conducting terminology research using various resources, and ability to validate and verify terminology accuracy and relevance. Attention to Detail: Exceptional attention to detail and a strong commitment to accuracy and precision in terminology management. Collaboration and Communication: Excellent interpersonal skills with the ability to collaborate effectively with cross-functional teams, subject matter experts, and stakeholders. Strong written and verbal communication skills are necessary. Analytical Thinking: Strong analytical and problem-solving skills to analyze complex terminology challenges and provide effective solutions. Terminology Tools: Familiarity with terminology management software and tools is preferred. Experience with database management and file organization is advantageous. Organizational Skills: Ability to manage multiple tasks, prioritize them effectively, and meet deadlines in a fast-paced environment. When you join Welocalize, you have the opportunity to bring your career to the next level: ... receive steady volume of work and long-term partnership {where this applies}  ... professional development: work on exciting projects that will empower you keep learning and growing ... work with multicultural, international team with a great variety of documents and content types   ... 24-hour 6-day a week support from our community team.   If this opportunity sounds appealing to you, apply below.  Job Reference: #LI-JC1

Location: United States; Los Angeles, United States About Us We are a growing commercial real estate lending and investment company focused on structuring and closing high-value commercial deals across multiple asset classes. We are looking for a highly analytical and relationship-driven professional who can combine strong underwriting expertise with business development and deal origination skills. This role is ideal for someone who understands commercial real estate finance end-to-end — from sourcing opportunities and underwriting deals to structuring transactions and managing closings. Responsibilities Underwrite commercial real estate transactions across multiple asset classes including multifamily, office, retail, industrial, hospitality, and mixed-use Analyze borrower financials, rent rolls, operating statements, tax returns, and market data Build and review financial models, cash flow projections, and valuation analyses Structure loan terms and investment scenarios based on risk assessment and deal strategy Source and originate new commercial lending opportunities through brokers, borrowers, investors, and industry relationships Manage deal flow from initial screening through closing Coordinate due diligence, legal documentation, title, third-party reports, and closing requirements Present investment and lending recommendations to leadership Maintain relationships with lenders, brokers, borrowers, and capital partners Monitor market trends and identify strategic lending and investment opportunities Requirements 4+ years of experience in commercial real estate underwriting, investment analysis, mortgage banking, acquisitions, or loan origination Strong understanding of commercial lending structures and CRE financial analysis Experience underwriting income-producing properties and evaluating investment opportunities Proven ability to source, negotiate, or originate commercial deals Experience working with banks, private lenders, debt funds, bridge loans, agency financing, or institutional capital Advanced Excel and financial modeling skills Strong communication and negotiation abilities Ability to thrive in a fast-paced, entrepreneurial environment Preferred Background We are especially interested in candidates with experience in: Commercial mortgage banking CRE acquisitions or investment analysis Loan origination and capital markets Debt/equity structuring Institutional or private real estate lending What We Offer Competitive base salary + performance-based compensation Opportunity to work on high-value commercial transactions Career growth within an expanding real estate finance platform High exposure to acquisitions, underwriting, and capital markets Collaborative and entrepreneurial team environment

Location: United States; Los Angeles, United States About Us We are a growing commercial real estate lending and investment company focused on structuring and closing high-value commercial deals across multiple asset classes. We are looking for a highly analytical and relationship-driven professional who can combine strong underwriting expertise with business development and deal origination skills. This role is ideal for someone who understands commercial real estate finance end-to-end — from sourcing opportunities and underwriting deals to structuring transactions and managing closings. Responsibilities Underwrite commercial real estate transactions across multiple asset classes including multifamily, office, retail, industrial, hospitality, and mixed-use Analyze borrower financials, rent rolls, operating statements, tax returns, and market data Build and review financial models, cash flow projections, and valuation analyses Structure loan terms and investment scenarios based on risk assessment and deal strategy Source and originate new commercial lending opportunities through brokers, borrowers, investors, and industry relationships Manage deal flow from initial screening through closing Coordinate due diligence, legal documentation, title, third-party reports, and closing requirements Present investment and lending recommendations to leadership Maintain relationships with lenders, brokers, borrowers, and capital partners Monitor market trends and identify strategic lending and investment opportunities Requirements 4+ years of experience in commercial real estate underwriting, investment analysis, mortgage banking, acquisitions, or loan origination Strong understanding of commercial lending structures and CRE financial analysis Experience underwriting income-producing properties and evaluating investment opportunities Proven ability to source, negotiate, or originate commercial deals Experience working with banks, private lenders, debt funds, bridge loans, agency financing, or institutional capital Advanced Excel and financial modeling skills Strong communication and negotiation abilities Ability to thrive in a fast-paced, entrepreneurial environment Preferred Background We are especially interested in candidates with experience in: Commercial mortgage banking CRE acquisitions or investment analysis Loan origination and capital markets Debt/equity structuring Institutional or private real estate lending What We Offer Competitive base salary + performance-based compensation Opportunity to work on high-value commercial transactions Career growth within an expanding real estate finance platform High exposure to acquisitions, underwriting, and capital markets Collaborative and entrepreneurial team environment

At Querify Labs, we work with technology companies on the design and implementation of complex data infrastructure systems. Our engineers contribute to projects involving query processing, storage engines, distributed systems, and analytical infrastructure. Our Engineering Approach: Our engineers primarily work with Java and C++, though we are not tied to any specific language or technology stack. We value strong engineering fundamentals and the ability to select the right tools for the problem at hand. We leverage modern AI-assisted development tools to accelerate research, prototyping, implementation, and code exploration. We view AI as a force multiplier for experienced engineers rather than a replacement for engineering judgment, system design, or deep technical expertise. We actively study open-source systems, academic research, and production architectures to make informed engineering decisions. You Will: — Design and implement core system components — Investigate performance bottlenecks and scalability challenges — Analyze open-source projects and research papers — Write technical design documents and validate ideas through prototypes — Participate in architecture discussions and code reviews — Work closely with experienced database and distributed systems engineers You Have: — Strong knowledge of algorithms and data structures — Solid software engineering experience in Java, C++, Rust, or another systems-oriented language — Interest in databases, query processing, storage engines, or distributed systems — Strong analytical and problem-solving skills — Ability to understand complex technical trade-offs and communicate them clearly — Curiosity, ownership, and a desire to learn new technologies Nice to Have: — Experience with databases, query engines, storage engines, or distributed systems — Experience with concurrency, parallel algorithms, or performance optimization — Experience with big data technologies and data processing systems — Contributions to open-source projects — Research publications, conference talks, or technical writing What We Offer: — Competitive compensation based on experience, expertise, and impact — Long-term contractor engagement — Fully remote work from anywhere in the world — Exceptionally challenging technical problems — Opportunities to publish, speak at conferences, and contribute to the technical community