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Location: Mexico City, Mexico Workplace: remote Introducción ¿Manejas los buscadores como un genio? ¿Encuentras lo que buscas con un par de palabras clave? Welo Data está buscando a una persona de habla española de España para participar en un proyecto de cliente como evaluador de calidad de anuncios (Ads Quality Rater).  Usarás una herramienta única, basada en la web para evaluar los anuncios de los buscadores en función de las pautas del proyecto.  Requisitos - Fluidez en español - Deberán ser de España y estar ubicados en Mexico - 18+ - Alta comprensión del inglés, hablado y escrito - Conocedor de la web y capacidad de trabajar en un entorno de ritmo rápido  - Sistema informático fiable y buena conexión a Internet   - Capacidad para seguir instrucciones en inglés y cumplir con las directrices del proyecto esperadas por el cliente  - Deberá firmarse un Contrato de Confidencialidad para proteger la confidencialidad del cliente  - Deberá pasar una prueba de dominio del idioma, capacitación y una rigurosa prueba de calidad diseñada por nuestro cliente antes de comenzar a trabajar  Detalles del proyecto    Ubicación: Remoto (Debe ser en Mexico)  Cantidad de horas: De 5 a 20 horas a la semana, distribución libre  Tarifa de pago: Variable basada en la complejidad de la tarea (aproximadamente $4 USD por hora)  Tipo de contratación: Contrato independiente/Autónomos  Debe tenerse en cuenta que esta oferta es para un trabajo independiente basado en la necesidad del proyecto. Debido a esto, las horas semanales variarán y se espera flexibilidad con el cambio. When you join Welo Data, you have the opportunity to bring your career to the next level. - We offer a great variety of unique and interesting projects in a multicultural and international environment - We focus on building long-term, supportive relationships with all of our partners - Our projects offer excellent professional development opportunities that empower your career learning and growth - You'll receive human support from our Community Team 24 hours per day, 6 days per week If this opportunity sounds appealing to you, take a moment to apply below! To know more details (Click here)

Location: Kyiv Workplace: onsite Ajax Systems — міжнародна технологічна компанія і найбільший у Європі виробник охоронних систем. Продуктам Ajax довіряють уже понад 4,5 мільйони кінцевих користувачів і 330 тисяч PRO-користувачів у більш ніж 180 країнах. Компанія пропонує комплексні рішення для захисту житлових і комерційних об'єктів різного масштабу. Нині портфоліо Ajax налічує 280 пристроїв для захисту від вторгнення, відеоспостереження, пожежної безпеки та комфорту й автоматизації. Кожного року ми демонструємо кратне зростання як у чисельності команди, так і в кількості користувачів у всьому світі.    За розробку пристроїв у Ajax відповідає R&D, який складається з чотирьох департаментів: System, Device, Automation та QA.Device Department займається розробкою пристроїв для безпеки й автоматизації. А також ставить перед собою серйозні виклики в таких напрямках: - Low-Power: пристрої мають працювати максимально довго від штатних батарей; - Собівартість: масовий продукт повинен залишатися в діапазоні середнього цінового сегмента; - DFM (Design for Manufacturing) і DFH (Design for Human): схемотехніку, корпуси та інші елементи має бути легко повторити в сотнях тисяч пристроїв на виробництві без втрати якості. Розробка переважно ведеться для STM32 (але є і інші MCU та SoC), з використанням Embedded C. Вже зібрано сильну експертизу й талановитих працівників із числа Hardware- та Embedded C-інженерів, промислових дизайнерів, конструкторів-механіків.   Ajax шукає Junior Manual QA Engineer  в команду забезпечення якості девайсів в Києві. Завдання: Покращувати якість наших hardware продуктів Аналізувати вимоги до тестування пристроїв, функціоналу програм та тест-стендів. Підготовка чек-листів, тест-кейсів, тест-планів. Не просто знаходити баги, а за допомогою логів, дебагу та зовнішніх проявів з'ясовувати причини цих багів. Проводити дослідження роботи пристроїв та програм. Необхідні знання та навички: Базові знання електроніки, фізики та схемотехніки. Знання та розуміння теорії тестування. Ведення документації: складання тест-кейсів, сценаріїв користувача, чек-листів. Вміння грамотно описати баг репорт та вести життєвий цикл бага. Технічна освіта. Буде плюсом: Досвід тестування hardware проєктів (для Middle обовʼязково) Пропонуємо: Можливість пропонувати та реалізовувати власні ідеї, які мають вплив на продукт і виробництво; Роботу у вмотивованій команді та zero bullshit culture; Конкурентну заробітну плату; Медичне страхування; Корпоративну англійську мову; Можливість взяти участь у проєкті бета-тесту систем безпеки Ajax — отримання та тестування нових гаджетів до їх релізу. Ajax Systems — це українська історія успіху, місце неймовірної сили та енергії. Долучайтеся, щоб зробити Made in Ukraine 🇺🇦 синонімом надійності.

Location: Metn, Lebanon The Company Toters is an on-demand e-commerce and delivery platform and operates a service that enables customers to get anything in their city at the highest level of convenience. At Toters, technology is at the heart of everything we do. We have product teams that are working hard every day to create products that make our customers' lives easier. Our engineers are also continuously creating solutions to make our processes more efficient, all in an effort to get to our customers fast and at the best cost. If you are interested in working in a high growth startup environment, and look to be part of a team that will potentially change the way customers shop in the Middle East, apply now. Role The Product Designer is responsible for delivering largely independent UI and UX for our different platforms. As a Product Designer at toters, you will collaborate with teams of designers, researchers, engineers, content strategists, and product managers throughout the product process, setting the bar for creative excellence and providing best-in-class visual design thinking and usability expertise at the start of every project. You will utilize user flows, wireframes, flow diagrams, storyboards, user interface mockups, and/or high-fidelity prototypes to convey the user experience at different phases of the design process. It will be your mission to promote the prioritization of design-centered adjustments, adjustments, and enhancements. Responsibilities Create user-centered designs by embracing an outside-in approach, bringing the voice of the customers into the organization, gather customer feedback, analyze and synthesize usability findings, develop user journeys. Design intuitive, results driven products and thoughtful user experiences that balance aesthetics and usability. Perform user research, conduct user tests, and design the overall functionality of the product to guarantee an excellent user experience. Be resourceful and creative to overcome obstacles and turn challenges into opportunities. Develop Prototypes to demonstrate and evaluate potential ideas with stakeholders and validate hypotheses by conducting usability testings. Listen and share with colleagues across the company to drive collaboration. Work within an Agile team environment that delivers through iteration. Maintain design consistency throughout our products. Discuss design principles and guidelines with various company stakeholders to gain their support. Be the user-advocate by conducting usability tests on early designs and making implementation recommendations from a user-centered standpoint. Above all, enjoy creating cutting-edge consumer applications for the Web and mobile platforms. Qualifications You hold a BA/BS degree or equivalent practical experience; an advanced degree is a plus. You have 5+ years of experience in UX & UI design. You’re skilled with Figma, Sketch, or other design tools. You’re familiar with design thinking and human-centered methodologies. You know how to conduct or interpret user research and usability testing. You use data and user insights to guide your decisions. You’re an excellent communicator and a team player. You thrive in a fast-paced, iterative, and remote-friendly environment. You understand the importance of design systems and consistency. You’ve collaborated with PMs, engineers, and stakeholders to bring ideas to life. You’re comfortable designing end-to-end experiences, from research to high-fidelity UI.

Location: Remote About HumanSignal Real-world data is the competitive edge in AI. HumanSignal is a human data partner for companies building AI models and products. Our customers ship better AI, faster, because we partner with their researchers from real-world data creation to annotation to delivery. We design and create datasets from scratch, recruit and manage the domain experts who evaluate model output, and run everything through our own platform, Label Studio, the open-source standard for data labeling and evaluation, used by over 1 million practitioners worldwide. We specialize in the operationally complex: real-world data collection, multimodal pipelines, and multi-step workflows. Advanced ML and AI teams use our enterprise platform to run their own data factories, and our services team to extend their reach where in-house capacity runs out. If you want to do work that materially shapes how the next generation of AI products gets built, we'd love to talk. The engineers on our team are great. We want to make sure they have a manager who makes them better, and that’s the role. We’re building across an open-source platform, enterprise software, and a managed data-services business that runs on our own product. We need to make delivery more predictable while giving engineers more ownership – not add another layer of approvals. You’ll help shape what we build, the commitments we make, and how the team works. You manage the team directly: 1:1s, feedback, performance, promotions, and the hard conversations. You own delivery so that what we decide to build turns into shipped software on a rhythm we can count on. You notice when someone is blocked and help them get unstuck without making yourself the dependency for every decision. When someone is struggling, you address it early. The part of this role we care about most is helping people become better professionals: better at scoping, estimating, making decisions, and owning outcomes rather than tasks. If your instinct when an engineer struggles is to take the work back, this isn’t the role. If your instinct is to figure out what they’re missing and help them develop it, keep reading. You still write and ship code. Not because we need another full-time individual contributor, but because I don’t believe you can effectively manage this team if you’ve stopped building. You stay hands-on to make better technical decisions, work through difficult problems, and improve how the team builds. Your job is not to become the team’s busiest engineer or the person every release depends on. You use coding agents in real work and understand where they help, where they fail, and how to verify their output. You make the team better by showing what works and helping people apply it – not by mandating tools or mistaking more generated code for better engineering. You can challenge architectural decisions, explain the tradeoffs, and help the team choose an approach it can ship and maintain. What you’ll own Delivery: Planning, scoping, and shipping quality software against a roadmap you help shape. You make tradeoffs explicit and push back when we’re asking the team to do more than it can do well. How the team works: Enough structure to make delivery predictable, not so much that it slows a small team down. You remove friction, address recurring blockers, and improve how we use AI tooling. People: Hiring, clear expectations, regular feedback, growth, promotions, and exits when they’re necessary. Technical judgment: Staying close enough to the code and architecture to challenge decisions and support engineers without becoming the approval gate for everything. The engineering response to escalations: Getting the right people involved, making priority calls, and addressing recurring causes across customer, services-team, and open-source issues. You’re accountable for the response, not expected to personally fix every problem. What we’re building A ground-up rebuild of the annotation editor, with interfaces generated by coding agents instead of hand-configured. Native evaluation of agent trajectories: trace ingestion, replay, and hybrid human-plus-model-judge workflows. Continuous calibration: treating automated evaluators as instruments that can drift and need ongoing checks against human ground truth. The workforce platform behind our managed services business. Quality analytics across annotators, models, and programs. Our own services team uses the platform to deliver customer work. You’ll see directly where the software helps, where it falls short, and which problems keep coming back. Part of the opportunity is turning that experience into better products, not just a growing list of one-off customer fixes. Stack: Python/Django, TypeScript/React, Postgres, Kubernetes. Coding agents are part of how we work every day. What success looks like Engineers take greater ownership and need less intervention. Scope and delivery risks surface early, rather than at the deadline. Customer commitments and product priorities are reconciled before they become emergencies. Recurring escalations lead to lasting fixes. The team ships more reliably, people are getting better at their work, and neither depends on you repeatedly stepping in to rescue a release. Who we’re looking for You’ve managed engineers for at least a couple of years. You’ve hired and developed people, addressed underperformance directly, and made difficult people decisions when necessary. Before that, you were a strong engineer for long enough to develop sound technical judgment. You can reason about architecture and tradeoffs beyond your own code. You still build software and enjoy it. You use coding agents seriously and can explain, with examples, what effective use looks like. You’ve shipped at a startup and know how to make decisions with incomplete information. You say what you think early, give specific feedback, and don’t manage by avoidance. You can balance long-term product work with customer deadlines, negotiate realistic commitments, and recognize when a services request should become a product capability, and when it shouldn’t. Nice to have: experience with ML tooling, data platforms, or evaluation systems; experience managing a distributed team; frontend architecture depth. How to apply Skip the form. Email me directly at michael@humansignal.com with examples of your best work. That can be code you’ve written, a system you designed, a team you built, a document that changed a decision, or a product you shipped. I want to see what you’re proud of and hear why. You don’t need a public portfolio, and please don’t share proprietary material. A description of the problem, your contribution, and the outcome is enough. A short note on what draws you to HumanSignal specifically helps too. I read everything that comes in. If it’s a fit, I’ll reach out. About HumanSignal We build the infrastructure that turns expert human judgment into reliable signal for AI systems. Label Studio, our open-source platform, is used by 250,000+ people across 60,000+ organizations. Label Studio Enterprise is the commercial version: the system of record for annotation and evaluation quality at companies shipping production AI. Alongside the software, we run a managed data-services business that puts our own platform and expert workforce to work on customers’ hardest evaluation and labeling programs.

Location: Remote Workplace: Remote We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. ABOUT THE ROLE We’re looking for Applied Research Scientists to help us develop cutting-edge computer vision and generative models to power our creative tools. We are looking for candidates with a strong background building impactful and novel machine learning projects, strong software engineering skills, and who are deeply interested in seeing their research materialize in novel user interfaces for creative tasks. This is a cross-functional team that requires strong communication and collaboration skills; you will have a chance to work with our backend team to help bring your research models to production, and with our design and frontend engineering team to make sure that your machine learning models work in harmony with the user interfaces that interact with them. WHAT YOU’LL NEED - 4+ years of relevant engineering or research experience in machine learning, computer vision and/or graphics - Expertise with programming such as Python, C++, CUDA, and deep learning frameworks such as TensorFlow and PyTorch. Very strong programming skills and ability to write clean and maintainable research code - Deep interest in building human-in-the-loop systems for creativity - Passion for seeing research through from initial conception to eventual application - Experience mentoring and teaching other researchers - Strong communication, collaboration, and documentation skills Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. WORKING AT RUNWAY Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024

Location: Remote Workplace: Remote We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. ABOUT THE ROLE We’re looking for a Research Manager to help us manage and grow Runway’s Applied ML Research team to create cutting-edge machine learning tools for AI-based content creation. This person should have a strong research background in computer vision, and be deeply interested in managing and enabling other researchers to develop state-of-the-art research. This is a cross-functional role that requires strong communication and collaboration skills; you will have a chance to work with the rest of the engineering organization to oversee the transition from research into production, as well as with the Product team to initiate and develop research projects that deliver clear user value. WHAT YOU’LL NEED - 5+ years of industry experience as a research scientist in computer vision and 1+ year managing teams - High emotional intelligence and experience mentoring and supporting the career growth of other researchers - Good understanding of how to communicate goals, drive the execution of projects, and inspire through others - Experience in translating product and business objectives into technical strategies - Deep interest in productionizing state of the art ML research Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. WORKING AT RUNWAY Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024

Location: Remote Workplace: Remote We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. ABOUT THE ROLE We're looking for an API engineer to join our core API team and help scale Runway's platform serving millions of users and handling thousands of requests per second. You'll work on the critical infrastructure that powers both our public API (used by external developers) and internal tools, managing user data, task orchestration, billing, permissions, and asset management. This is a high-impact role on a mature, production system. You'll build enterprise features, optimize database performance, design async workflows, and ensure reliability at scale. If you're passionate about API development, love TypeScript, and want to own systems end-to-end, this is the role for you. A PEEK AT OUR TECHNICAL STACK Our API endpoints for real-time collaboration and media asset management is written in TypeScript, and runs in ECS containers on AWS Fargate. We leverage multiple AWS-native components, such as S3, CloudFront, Lambda, Kinesis, and SQS, as building blocks of our infrastructure. Our inference backend is written in Python (PyTorch, TorchScript), and is deployed across multiple clusters / cloud providers. We use Kubernetes for container orchestration, and k8s-native components such as Flyte, Kueue, and Kyverno efficient job orchestration. We invest in prometheus and grafana for monitoring, and Terraform to manage our infrastructure. WHAT YOU’LL DO - Own the full API lifecycle from design and implementation to monitoring, optimization, and documentation for both public and internal APIs - Design and implement async workflows for task orchestration, content moderation, prompt enhancement, and post-processing pipelines - Optimize database queries and improve performance for a high-traffic Postgres database - Build rate limiting, fraud detection, and credit management systems - Implement comprehensive API security, rate limiting, authentication, and monitoring systems to ensure reliability at scale - Improve the public API developer experience with better documentation, SDKs, and tooling - Improve the performance, reliability, and code quality of our codebases WHAT YOU’LL NEED - 3+ years of industry experience building production APIs - Strong TypeScript experience, so you can jump in and be productive immediately - Experience owning systems end-to-end: infrastructure, monitoring, logging, metrics, incident response - Understanding of API design patterns, REST principles, and async workflows - Experience with relational databases (Postgres preferred) and query optimization - Experience architecting production-ready systems at scale using cloud primitives from AWS, GCP, or Azure - Ability to rapidly prototype solutions and iterate on them with tight product deadlines - Humility and open mindedness; at Runway we love to learn from one another Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. WORKING AT RUNWAY Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024

Location: Home based - Worldwide Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder-led, profitable and growing. We are hiring an Embedded Linux Field Engineering Manager to lead a regionally-focused team of Field engineers in Presales and Professional Services activities, by helping customers with solution architecture, design and delivery. Our Embedded mission is to enable companies to make fleets of very secure connected devices. Canonical provides Ubuntu, Ubuntu Core and a unique Long Term Support, with secure update and management mechanisms. Our customers create mission-critical control systems, gateways and appliances that need to meet stringent quality and security requirements, and we aspire to bring this level of security to the wider consumer electronics and device market. Our Field Engineers are thought leaders helping our customers through their journey toward a more secure and durable solution.. They are accomplished technologists that take a hands-on approach to embedded Linux strategy and delivery. They have a passion to help customers achieve ambitious technical and business goals, and to show how the Canonical approach to open source and connected devices brings best-of-breed thinking to the emerging field of edge compute. They also care to develop their colleagues, helping them deepen their understanding of the technology, their ability to manage time, and their awareness of customer business thinking for continuous improvement and personal development. This career opportunity requires a unique blend of skills. Successful candidates will know Linux well, understand how a distribution works, what are the unique challenges of Internet Of Things, and will also carry team building and management skills. They also enjoy the pace of change and diversity of client engagements with driven and ambitious technology entrepreneurs. Competitive, business-focused technologists at heart, they are also team drivers that take pride in team and company wins. Location: This is a globally remote role, running a team in one of three Geos, Americas, EMEA or APAC. You will therefore need to be located in one of those three Geos to manage that specific team that spans few timezones from you The role entails Leading and developing a team of Field engineers, ranging from graduate to senior, in the areas of Presales and Professional Services Planning and driving progress on agreed goals and projects Partnering with the leadership team Developing and championing engineering excellence and organisational practices Coaching, mentoring, and offering career development feedback Solving customer problems by promoting our technologies and being a trusted advisor Working remotely in a single major time zone Identifying and measuring team health indicators Implementing disciplined engineering processes Representing your team and product to stakeholders, partners, and customers Providing market feedback to Product and Engineering teams, and being a critical part of Ubuntu’s future What we are looking for in you Exceptional academic track record from both high school and university Undergraduate degree in in Computer Science or or a compelling narrative about your alternative chosen path Extensive embedded Linux experience - Yocto or other Extensive Linux experience - Debian or Ubuntu preferred Ability to manage a small team Experience with customer engagements Professional written and spoken English Excellent interpersonal skills, curiosity, flexibility, and accountability Result-oriented, with a personal drive to meet commitments An ability to communicate the business benefits of technology An humble learner and quick study Ability to travel internationally twice a year for company events up to two weeks long Other desirable traits include RTOS experience, additional languages (both the programming and human kinds), and previous experience working in a remote-first, diverse, distributed company. What we offer colleagues We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. Distributed work environment with twice-yearly team sprints in person Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Team Member Assistance Program & Wellness Platform Opportunity to travel to new locations to meet colleagues Priority Pass and travel upgrades for long-haul company events About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since its inception in 2004.​ Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.

Location: Remote - Worldwide About us OpenZeppelin is the security standard onchain finance is built on. Founded in 2015, our mission is to accelerate the world's transition to an open financial system, built on open standards and secured by rigorous research. Our open-source Contract Libraries have facilitated over $35 trillion in onchain value and are used by 10 of the top 10 tokenized money market funds and 9 of the top 10 stablecoins by market cap. We combine AI-native security tooling with deep research and a decade of audit expertise to support leading institutions and crypto-native teams shaping the next generation of digital assets like DTCC, Fidelity, Coinbase, Uniswap, Aave, the Ethereum Foundation, and many more across the full secure development lifecycle. Please note: Always refer to OpenZeppelin's official job page for the most accurate information about our open roles, as we have seen multiple third party job sites posting inaccurate information. The Security Services Team OpenZeppelin's Security Services team is responsible for the security of the world's leading web3 protocols and top financial institutions building onchain. Our researchers partner with client teams across the full lifecycle of a protocol: working on architecture and design before any code is written, co-creating novel mechanisms and primitives with engineering teams, conducting deep audits of pre-launch codebases, and providing continuous coverage as production systems evolve. Our clients range from emerging projects shipping their first contracts to global financial institutions running production onchain systems at scale. What you'll be doing Review smart contracts for top decentralized applications, blockchain infrastructure and financial institutions before they launch. Find vulnerabilities, prioritize them, and present findings to the client. Drive audits independently from start to finish, with AI as your primary collaborator. When useful, partner with another researcher to attack the code together and pressure-test findings. Partner with client teams during the design phase of new protocols, analyzing architecture, trust assumptions, and operational constraints before any code is written (Design Reviews, Applied Research engagements). Use AI efficiently throughout the audit process, and build skills, agents, and workflows that compound across the team. Conduct open-ended research into cutting-edge blockchain technologies, vulnerability classes, and emerging attack vectors, and contribute findings back to OpenZeppelin's internal knowledge base and to the broader ecosystem. You have Hands-on and practical experience in one or more of the following: software development, cybersecurity, applied mathematics, distributed systems, cryptography, cryptoeconomics or game theory, or DeFi mechanisms. Experience designing and developing smart contracts, not only auditing them. Strong working knowledge of Solidity and the broader Ethereum / EVM ecosystem (common libraries, frameworks, smart contract patterns). Modern AI tooling is central to how you work, not a novelty. You use it daily to expand audit coverage, reason about complex systems, and produce high-quality outputs faster. You evaluate AI-generated code with a critical eye. Comfort building and extending your own tooling (skills, agents, prompts, scripts, or full workflows) that the rest of the team can adopt and build on. An advanced English level and strong communication skills (oral and written). Nice to have Experience with non-EVM ecosystems and languages, such as Canton, Move (Sui, Aptos), Golang (Cosmos SDK), Cairo (Starknet), Rust-based blockchains (Solana, Stellar), or ZK circuits and cryptography-heavy systems. Experience with risk assessment work in the crypto industry (smart contract risk assessment, threat modeling). Working hand-in-hand with protocol teams on co-creative engagements, helping design, specify, and implement smart contracts alongside the research. Web2 security expertise (penetration testing, web application security, infrastructure security, or appsec). Experience with formal verification, invariant testing, or advanced fuzzing tools (Echidna, Foundry, Halmos, Certora). A track record in audit contests (Code4rena, Sherlock, Cantina) or bug bounty platforms (Immunefi, HackerOne). Public security research output, such as published findings, blog posts, conference talks, or contributions to open-source security tooling. Logistics Our interview process takes place on Google Meet and tends to consist of the following stages: Recruiter call (30 minutes) Manager interview (60 minutes) Technical interview (60 minutes) Paid work trial (paid code review assessment) Reference checks Please let us know if you require any accommodations for the interview process, and we’ll do our best to provide assistance. Benefits Meet your teammates at company gatherings around the world 😎 Enjoy the flexibility of fully remote work 🌎 Take the time you need with flexible time off 🏝 Grow your family with 8 weeks of paid leave for primary caregivers, 4 weeks for secondary caregivers, and a one-time $3,600 baby bonus 💙 Build your ideal home office with up to $500 in equipment support 🪑 Stay covered with medical insurance 🏥 Keep growing with learning and development opportunities 🧠 Get a monthly stipend for your preferred co-working space 💻 At OpenZeppelin , we are an equal opportunity employer and we value different perspectives. We are committed to building a diverse workforce. This includes but is not limited to gender, race, sexual orientation, religion, national origin and other characteristics that make each one of us unique. In this uniqueness, we find the most value. Come join us! Use of AI as part of the recruiting process As part of OpenZeppelin’s recruitment process, we may use automated tools, including artificial intelligence, to assist in reviewing applications and assessing candidate qualifications. These tools are used to support our People team by identifying relevant skills and experience, and are not used to make decisions solely by automated means. All hiring decisions involve human review. Any personal data provided as part of your application will be processed in accordance with OpenZeppelin’s Data Privacy Notice . If you have questions about this recruitment process or would like to request human review of your application, please contact us at talent@openzeppelin.com.

Location: Home based - Worldwide Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1100+ colleagues in 75+ countries and very few office based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder led, profitable and growing. We are hiring a Cloud Support Engineer to build a career with Canonical and support the technical needs of customers leveraging Ubuntu and open source products. If you have an affinity for open source development and a passion for technology, then you will enjoy working with some of the best people in the industry at Canonical. While our engineers regularly solve deeply interesting, complex technical problems - from triaging cloud environments to root-cause analysis on unseen Linux kernel crashes - this is fundamentally a role rooted in human connection. You will act as a trusted peer and technical guide to external engineering teams, translating intricate open-source challenges into clear, empathetic solutions. We are rapidly expanding and looking for brilliant problem solvers who are just as passionate about building strong, collaborative relationships with customers as they are about the next generation of Canonical solutions. Location: This is a globally remote role. The role entails Empathetic Engagement: Partner directly with customers across remote sessions, ticketing,, and live conversations to deeply understand and resolve their technical roadblocks. Collaborative Problem Solving: Work hand-in-hand with internal engineering teams and regional peer groups to bridge the gap between complex code fixes and real-world customer satisfaction. True Ownership: Manage your support cases with a strong sense of personal integrity, ensuring commitments are honored and customer expectations are communicated transparently and predictably. Ubuntu Lifecycle Guidance: Develop a rich understanding of the Ubuntu development process, empowering you to give customers clear, human context regarding timelines for engineering fixes. Knowledge Advocacy: Author and maintain accessible knowledge base articles, ensuring lessons learned are shared openly to elevate the entire open-source community. Operational Reliability: Participate in a regular weekend working rotation to maintain seamless, high-touch continuity of care for our global partners. What are we looking for in you Communication Excellence: Exceptional written and spoken English, with a natural ability to convey technical complexity clearly, warmly, and compellingly. The Soft-Skill Edge: A genuine passion for helping people, paired with the emotional intelligence to navigate high-stakes technical situations with composure and empathy. Academic Dedication: Exceptional academic track record from both high school and university. Educational Background: An undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path. Driven Mindset: A proven track record of going above-and-beyond expectations to deliver meaningful, outstanding results for teams or customers. Linux & Cloud Familiarity: Practical, hands-on experience supporting Linux systems, with an exposure to three or more of the following: Virtualization & Cloud: Using KVM or OpenStack. Containers: primarily Docker, LXD/LXC, or Kubernetes. Storage Ecosystems: Block, object, and network storage technologies. System Networking: Navigating bonding, firewalls, bridging, switching, or MTU tuning. Analytical Curiosity: A strong troubleshooting mindset—the ability to look into stack traces or logs, identify OS/application-level bugs, and strategically guide the customer through next steps. Development Fundamentals: Basic programming logic in any language to help parse code and collaborate effectively with Canonical Engineering teams. What we offer colleagues We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. Distributed work environment with twice-yearly team sprints in person Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Employee Assistance Programme Opportunity to travel to new locations to meet colleagues Priority Pass, and travel upgrades for long haul company events About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since its inception in 2004.​ Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration. #LI-remote

Location: Limassol Wisebits is an international IT holding company with a strong technical team. Our key product is a high-load video hosting platform used daily by millions of people around the world. Over more than 15 years in the market, we have built a professional team where engagement and initiative are truly valued.  If you want to work with a high-load product and have the opportunity to influence its development, join us! We are looking for an AI Automation Engineer who will develop and implement applied AI solutions to automate the company’s internal processes. The main goal of this role is to identify routine, time-consuming, or poorly scalable processes across different teams and turn them into reliable AI tools and services. What you'll be working on: Develop AI tools for automating code review and analyzing code changes. Build systems for automatically analyzing product and technical metrics, logs, and events, including anomaly detection. Integrate Slack, task trackers, knowledge bases, and the company’s internal services. Develop AI agents, for example, for creating tasks from Slack threads, searching for similar bugs, and preparing concise summaries. Automate incident analysis, identify possible root causes of failures, and prepare draft post-mortems. Create tools for automated checks of websites, domains, and SEO metrics. Design and develop custom MCP servers, RAG systems, and pipelines for working with corporate data. Evaluate the quality of AI solutions, reduce error rates, and control the cost and speed of their operation. Work with both cloud-based models and local LLMs. What we expect from you: Practical experience in developing solutions using AI/ML. Experience working with APIs of cloud AI platforms, such as OpenAI and Anthropic. Experience launching, additional training, and fine-tuning local models. Good understanding of how LLMs, Transformer models, embeddings, and vector search work. Experience developing custom solutions based on MCP and RAG. Experience integrating AI services with external APIs, databases, and corporate systems. Strong development skills in Python, TypeScript, Go, or other backend or systems programming languages will be an advantage. Understanding of different neural network architectures, including Transformers, NLP models, RNNs, and others. Experience with Docker, Linux, Git, and basic CI/CD processes. Ability to turn an informal business need into a working technical prototype and then into a stable production service. Nice to have: Experience with LangGraph, LlamaIndex, Haystack, Semantic Kernel, or similar frameworks. Knowledge of PyTorch, Hugging Face Transformers, PEFT, LoRA, or QLoRA. Experience with local inference using vLLM, Ollama, llama.cpp, TGI, or similar solutions. Experience with vector databases and search systems: PostgreSQL/pgvector, Qdrant, Milvus, Weaviate, Elasticsearch, or OpenSearch. Skills in building LLM quality evaluation systems: evaluation datasets, automated tests, human feedback, hallucination monitoring, and regression testing. Understanding of information security, access control, and confidential data protection when working with AI. Experience processing logs, metrics, and time series data, as well as detecting anomalies. Experience developing AI agents and systems using tool calling. Understanding of observability. Experience with Kubernetes and cloud platforms. We are not looking for an academic researcher, but rather a strong hands-on engineer who can quickly understand new AI technologies, build prototypes, validate their value, and bring successful solutions to production. What we offer: Work on an ML product with millions of users and real-life metrics. A compact team where every engineer can influence the product and develop expertise across several areas. Experienced colleagues to discuss ideas with, think together, and launch new projects and features. A simple structure with minimal bureaucracy and maximum responsibility. Annual salary review and bonuses. Benefits: medical insurance, tax compensation, learning opportunities, equipment, and language courses. Relocation to Cyprus: visa support, relocation coverage, flight tickets, and the first month of accommodation. Flexible schedule, a comfortable atmosphere, and team support. Work format: Remote / On-site Salary: from €3,500 net per month. The final compensation level may be higher and depends on relevant experience, skills, and overall match with the role requirements.

Location: Anywhere Senior Build Systems Engineer Remote - Anywhere (American timezones preferred) About Brave Brave is on a mission to protect the human right to privacy online. We’ve built a free web browser that blocks creepy ads and trackers by default, a private search engine with a truly independent index, a browser-native crypto wallet, and a private ad network (opt-in!) that directly rewards you for your attention. And we’re just getting started. Already over 128 million people have switched to Brave for a faster, more private web. Millions more switch every month. The internet is a sea of ads, hackers, and echo chambers. Big Tech makes huge profits off our data, and tells us what’s true and what’s not. Brave is fighting back. Join us! Summary As a colleague (in a team of 8 seniors, each with 15-25+ years of experience) your work will be around reducing toil and building and supporting the automation and processes that enable us to reach 200 million users. We have hundreds of builds running every day for over 1000 GitHub repositories (many open source) with languages like C++, Rust, Go, Python, JavaScript/TypeScript, Ruby, Kotlin, Bash/Shell, HCL and many more. We ship fast and on multiple desktop and mobile platforms, architectures and distribution channels. Multiple CI systems and acceleration/optimization techniques are used to build the right thing and the thing right. Our processes are light and we have no mandatory weekly meetings, 0 on-call, no need to be in an office (unless you really want to) and no strict core hours. Work is autonomous (collaborative at times), asynchronous, flexible. Requirements 10+ years of experience with automation and CI, build and release engineering, testing and reporting tools, code signing, app stores and distribution, packaging (for mobile or desktop apps) extensive and diverse operating system + architecture experience (Android, iOS, Linux, macOS, Windows + x86/x64/arm64) AWS + Terraform any combination of Bash/Shell, Python, Kotlin, Groovy AI-positive but able to code and review generated code privacy and security product mindset, interface with multiple teams, see things end to end, lead on best practices Nice to haves TeamCity (Kotlin DSL), Jenkins (Jenkins Job Builder) browser or Chromium knowledge gn, ninja, siso, reclient, Remote Execution API, EngFlow, ccache/sccache, custom builds systems Gerrit automated testing at scale performance testing and tuning security and quality scanning, SAST/DAST Working at Brave Industry-leader in privacy, with a research and engineering team that’s innovating everyday to keep people safer online and beat Big Tech Highly competitive salaries & benefits, and generous home-office stipends Fully remote team, though we have offices and gatherings in a few locations around the world Welcoming, humble, ridiculously smart teammates, and a truly flat org structure Opportunity to get in early at a hyper-growth company, and revolutionize the web Oh, and did we mention Brendan, our CEO & co-founder, invented JavaScript? Fully remote or hybrid position. No visa sponsorship provided. Check us out brave.com

Location: Barcelona, Spain; Athens, Greece; Romania; Germany; France; United Kingdom; Ireland; Italy Workplace: remote About Welocalize  Welocalize, a Welo Global brand, serves localization teams through AI-enabled multilingual content solutions that enable enterprises to operate and scale globally. Welocalize combines AI, automation, and human expertise to support enterprises in more than 300 languages, enabling accurate, culturally aligned, and compliant multilingual content at scale.   Welocalize’s Opal Platform comprises patented technology designed to automate multilingual content and improve workflow performance for enterprises. Opal functions as an agentic system that orchestrates AI, automation, and human expertise to coordinate content workflows across the lifecycle, improving speed, scalability, and operational control for global enterprises. These solutions operate within a secure and compliant environment supported by seven ISO certifications. Welocalize is headquartered in New York with offices worldwide. welocalize.com  Overview The German Translator role focuses on delivering high-quality translations across various content types using standard CAT tools and adhering strictly to client-specific guidelines and processes. It involves continuous quality improvement through feedback, training, and collaboration, while meeting key performance indicators in productivity, quality, and timeliness.   Job Responsibilities The following is a non-exhaustive list of responsibilities and areas of ownership for this role: Perform translations in various translation tools for assigned clients and projects Translate various types of content, e.g. marketing, help, UI, or regulated content Support the team with copy-edit tasks on selected content types Master the standard CAT tools and tools associated with translation work for internal clients (e.g.  tools for creating queries or checking the live UI elements) Precisely follow the established translation process, e.g. always raise queries when there is a need to Precisely follow the style guide and overall client requirements Improve based on the corrections made by senior team members as well as the client reviewers Keep track of personal error statistics and work on the weak spots Take part in the internal trainings and the ones organized by the clients Participate in the error arbitration process Meet the KPIs in terms of productivity, on time delivery and quality Take part in the internal quality meetings and the quality calls organized by the client for the whole team Constantly analyze own gaps and think of what assistance the senior members can provide to help address those Meet the goals set by the team manager   Experience and Skills Native-level fluency in German language Fluency in English, both written and spoken 2-4 years of experience in translation/localization/editing or content writing Good understanding of the localization process Good user experience of standard software, such as Windows and Office applications Good user experience of standard CAT tools, e.g. XTM, SDL Studio and issue tracking and query management tools, e.g. JIRA Ability to learn new localization tools and applications quickly Excellent interpersonal, written and verbal communication skills Ability to work with tight deadlines Ability to effectively present information and respond to questions from groups of managers, clients, customers, linguists Ability to solve practical problems and deal with a variety of concrete variables in Ability to work within a virtual team Fast learner, motivated, versatile Education Level  University degree in Translation/Applied Languages/Linguistic Studies or equivalent combination of education and experience (University degree in other fields plus 2 years of full time experience in translation; OR 5 years of full time professional experience in translating) Job Reference: #LI-JC1

Location: Green Bay Via is using technology to transform transportation around the world. From changing a single person’s daily commute to reducing humanity’s collective environmental footprint — we’ve got huge goals. As a part-time Partner Support Specialist , you will have the amazing opportunity to interact with one of our main customers: our driver-partners! The Driver Experience Team serves as a direct bridge between Via's brand and the people who actually deliver our services. As a Partner Support Specialist for Via, you’ll be on the ground floor at this exciting company ensuring that our driver-partners have a smooth interaction and experience. We strive to create effortless experiences for everyone who reaches out to our team, and we serve as an advocate for our driver-partners in an effort to drive changes to the overall Via's experience. You will make customers feel like they are receiving a world-class education on our product suite; they will feel supported and loved throughout their correspondence with us. We bring the voice of the Via's brand to our drivers, and the voice of our drivers to the broader Via's team. Please note: this is a part-time opportunity at about 20 hours per week. What You'll Do: Serve as the front line, speaking with driver-partners face-to-face, over the phone and through email/SMS to help improve their first experience with Via or manage their accounts Become an expert on our Via software and book rides for our passengers, serving as the first point of contact and helping hand for our riders Thrive in a fast-paced environment tackling an array of customer issues. Deliver above-and-beyond customer service to our driver-partners, finding new and interesting ways to make customers smile. Notice even the smallest trends and pain points, then brainstorm ways in which we can create solutions to improve each customer’s experience. Coordinate with management to channel customer feedback to all areas of the business such as technology, marketing, design, and product teams. Who You Are: Clear communicator with excellent reading comprehension and writing skills Excellent computer and technical skills, including experience with Microsoft Office, the Google Suite, previous CRM tools like Salesforce a plus Strong listening skills and a great conversationalist A well-rounded team player who takes ownership of (and pride in) your work A strong work ethic and an entrepreneurial spirit Dynamic; willing to wear multiple hats and work on projects of all types You take initiative to solve problems and get the job done Empathy and the ability to put yourself in the customer's shoes Ability to work Tuesdays and Fridays 5p - 10p; and Saturdays. Compensation and Benefits: Final salary will be determined by the candidate’s experience, knowledge, and skills. Salary reflected does not include equity or variable pay, where applicable Salary: $18/hour We’re Via, and we build technology that changes the way the world moves. We’re driven by a simple mission: to create modern and efficient public transportation systems that provide far greater access to jobs, healthcare, and education. With our best in class suite of products, we make transit thrive. Our teams of world class engineers, data-scientists, product managers, operations specialists, marketers, transit experts and more bring cutting-edge AI-powered software and innovative technology-enabled operations to our partners across the globe. Founded in 2012, Via builds solutions to digitize, automate, and enable data-driven decision making for entire transportation networks; fixed-route buses, microtransit, paratransit, school buses, autonomous vehicles, and more. If you’re excited to be at the forefront of modernizing the future of transportation, are up for solving tough problems, and willing to become/already are a transit nerd, we are the place for you. Even if your past experience doesn’t align perfectly with every qualification in the job description for this role, we encourage you to apply. You may be just the right candidate for this or other opportunities. Ready to join the ride? Via is an equal opportunity employer.