Вакансии

Location: Sydney 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: Technical Lead, Applied AI   Mistral AI is seeking a Technical Lead, Applied AI to drive the technical strategy, execution, and delivery of complex AI solutions for our enterprise customers. In this role, you will lead a project teams of Applied AI Engineers, ensuring the successful deployment of Mistral AI products and the development of high-impact, scalable AI use cases.   You will act as the primary technical point of contact for our most strategic customers, guiding them through the entire lifecycle—from pre-sales to post-implementation—while collaborating closely with research, product, and engineering teams to shape the future of our offerings.   As a Technical Lead, you 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   - Deliver as an IC the critical lines of codes of our complex projects, you’ll be hands-on and de-risk the critical parts of our complex projects. You’ll stay deeply involved in coding, reviewing, and optimizing AI solutions. - Lead technical teams of Applied AI Engineers, providing mentorship, technical guidance, and best practices for deploying state-of-the-art GenAI applications across industries. - Lead technical discussions during pre-sales, translating customer requirements into actionable solutions and communicating Mistral’s technological advantages to diverse stakeholders. - Design and oversee the implementation of complex AI systems, including fine-tuning, RAG, agentic workflows, and custom LLM applications, ensuring alignment with Mistral’s product roadmap and open-source initiatives. - Drive innovation by identifying emerging trends in AI, evaluating new tools and methodologies, and championing best practices for fine-tuning, inference, and deployment. - Work closely with product managers, researchers, and engineers to ensure seamless integration of customer feedback into Mistral’s product development cycle.   About you - You hold a PhD or Master’s degree in AI, Machine Learning, Computer Science, or a related field. - You have 7/8+ years of experience in AI/ML, with at least 2+ years in a technical leadership role (e.g., Tech Lead, Engineering Manager, or Solutions Architect) focused on AI products or enterprise solutions. - You have a proven track record of leading teams to deliver complex AI projects, from prototyping to production, in industries such as tech, finance, healthcare, or industrial automation. - You possess deep expertise in fine-tuning LLMs, advanced RAG, agentic systems, and deploying NLP applications at scale. - You are proficient in Python, PyTorch, and modern AI frameworks (e.g., LangChain, Hugging Face). Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools is a plus. - You have strong software engineering skills, including API design, backend/full-stack development, and system architecture. - You excel in technical communication, with the ability to articulate complex concepts to both technical and non-technical audiences, including executives and engineers. - You thrive in fast-paced, collaborative environments and are passionate about mentoring and growing technical talent.   Ideally, you have: - Contributed to open-source projects, particularly in the LLM or AI space. - Experience in customer-facing roles (e.g., Solutions Architect, Customer Engineer, or Technical Product Manager) with a focus on enterprise AI adoption. - A track record of driving technical strategy and influencing product direction based on customer needs and market opportunities.   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.

Location: Hybrid; In-Office About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations:  Austin or London About the Role Workers for Platforms lets anyone build their own platform on top of Cloudflare’s Developer Platform , turning Cloudflare’s infrastructure, compute and storage primitives into a programmable foundation others can build on. As a Product Manager for Workers for Platforms, you’ll define and execute the strategy that helps developers build platform businesses on top of Cloudflare. You’ll collaborate closely with engineering, partnerships, and design to make Cloudflare’s primitives — Workers, Durable Objects, Agents, AI inference, and more — composable for any company to use as their own infrastructure. What You’ll Do Drive the strategy and roadmap for Workers for Platforms Work hands-on directly with some of Cloudflare’s biggest customers, every day Define the APIs, management layers, and developer experience that make it possible for customers to extend Cloudflare’s developer platform to their own customers. Get in the details of APIs we provide to developers, working closely with engineers Represent Cloudflare externally Examples Of Desirable Skills, Knowledge And Experience The ideal candidate is entrepreneurial-minded and thrives in a fast-paced and goal-driven environment. You do whatever it takes to ship and solve problems for customers — whether that means writing code, debugging with a customer, writing docs or learning how to do something new to you. Successful PMs at Cloudflare are unafraid to roll up sleeves, get into details and ask questions. You use AI effectively to move faster and learn faster. You show rather than tell — using code examples, demos, prototypes Developer focus — you’ll be working directly, and often be a part of the customers team in helping them get their initial implementation off the ground Strong technical abilities. You are capable of wading into the details & understanding engineering decisions’ impact on the product, but can also drive 30k foot view A desire to sweat the details and ship great developer experiences A love for talking to developers at organizations both large and small on a daily basis so that you can build and ship products that solve real problems. Compensation may be adjusted depending on work location. Equity This role is eligible to participate in Cloudflare’s equity plan. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits Medical/Rx InsuranceDental InsuranceVision InsuranceFlexible Spending AccountsCommuter Spending AccountsFertility & Family Forming BenefitsOn-demand mental health support and Employee Assistance ProgramGlobal Travel Medical Insurance Financial Benefits Short and Long Term Disability InsuranceLife & Accident Insurance401(k) Retirement Savings PlanEmployee Stock Participation Plan Time Off Flexible paid time off covering vacation and sick leaveLeave programs, including parental, pregnancy health, medical, and bereavement leave What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: Budapest WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people. The Role : We are seeking a diligent and driven security operations specialist with strong hands-on technical skills, proven problem solving ability and excellent communication skills. As an security operations specialist at WorldQuant you will work closely with our technologists, researchers and portfolio managers to ensure systems are following best practices, perform incident response, provide patch and vulnerability remediation guidance, and support the identity and authorization infrastructure of the firm. Responsibilities (including but limited to): Research CVEs and other threat intelligence to formulate and deploy a response Operate and manage WorldQuant’s secrets and authentication management tool instances Develop tooling for continuous audit, code analysis and other security analysis activities Monitor and operate detection tools and respond to identified security issues in the environment Provide operational support for Authentication, Identity and other security infrastructure. Operate and improve the firms security monitoring and detection and infrastructure Provide customers support for foundational components such as Kerberos, SSH, SSL and more. Requirements : Degree in a technical or quantitative discipline from a top tier University Solid understanding of UNIX security. Knowledge of industry standard tools beneficial - (eg gitlab, nix, redhat linux, claude, jira, etc) Scripting experience, preferably in python. Experience operating security infrastructure, developing integrations of security products. Ability to communicate and design solutions related to security from first principles. Experience with Linux, Kerberos, SSL, SSH and  Active Directory Experience with agentic development Strong verbal and written communication skills in English What We Offer: Competitive compensation package Core benefits include: premium private health insurance and life insurance with savings plan Support for every aspect of life through Employee Assistance Program and fully covered sick leave Strong culture of learning and development: training courses, library, guest speakers, share and learn events, global conferences Regular offsite team buildings, annual conferences and occasional global summits – opportunity to travel and connect with our local and global teams Employee resources groups with strong diversity and inclusion culture #LI-DN1 By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved. WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

Location: London, United Kingdom - Deliveroo Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. About the team Engineering the future of customer support — at global scale 🌍 We believe exceptional customer service is more than just a feature, it’s a fundamental part of who we are. That’s why we’ve built our own internal support tooling from the ground up, tailored to help our customer, courier, and merchant support teams shine in every interaction. As we scale our operations from 30 to 60 countries, supporting millions of users and partners, our internal tools need to scale with us. The Support Engineering group is at the heart of this mission. We build high-performance admin applications and core operational tools that empower our support teams to work smarter and faster. A key part of this is our in-house chat platform, which already handles around 5 million conversations every month. On top of this foundation, we’re developing advanced features to reduce manual work, improve communication, and proactively resolve issues — often before our users even notice them. Our systems range from automated reach-outs for delayed orders to deeply integrated tools that enable our support teams to deliver assistance quickly, reliably, and with a human touch. By removing inefficiencies and automating repetitive tasks, we’re ensuring that our users and partners receive world-class support at scale. About the role We’re now looking for a Backend Engineer (Golang) to join us in building scalable, low-latency systems that power these tools and shape the future of customer support. You’ll work on impactful products that directly influence how millions of people experience our platform every day. What you'll be doing Build and maintain high-throughput backend services using Go . Collaborate with product managers, designers, and frontend developers to ship features that support internal support agents across the globe. Design systems that are scalable , resilient , and easy to maintain. Contribute to architectural discussions and technical decision-making. Write well-tested code and help the team maintain high code quality standards. Requirements 3+ years of professional software engineering experience, with a proven track record of building and scaling complex systems. Production experience in Golang , with an interest in developing strong engineering practices. Strong hands-on experience with both SQL and NoSQL databases — especially Cassandra. Solid understanding of designing and operating low-latency, high-throughput distributed systems . Previous on-call experience , with a pragmatic approach to reliability and incident management. Nice to have Background in Node.js or other backend languages. Familiarity with cloud infrastructure (AWS, GCP) and event-driven architectures. Why Deliveroo Our mission is to transform the way you shop and eat, bringing the neighbourhood to your door by connecting consumers, restaurants, shops and riders. We are transforming the way the world eats and shops by making access to food and products more convenient and enjoyable. We give people the opportunity to buy what they want, as they want it, when and where they want it. We are a technology-driven company at the forefront of the most rapidly expanding industry in the world. We are still a small team, making a very large impact, looking to answer some of the most interesting questions out there. We move fast, value autonomy and ownership, and we are always looking for new ideas. Workplace & Benefits At Deliveroo we know that people are the heart of the business and we prioritise their welfare. Benefits differ by country, but we offer many benefits in areas including healthcare, well-being, parental leave, pensions, and generous annual leave allowances, including time off to support a charitable cause of your choice. Benefits are country-specific, please ask your recruiter for more information. Diversity At Deliveroo, we believe a great workplace is one that represents the world we live in and how beautifully diverse it can be. That means we have no judgement when it comes to any one of the things that make you who you are - your gender, race, sexuality, religion or a secret aversion to coriander. All you need is a passion for (most) food and a desire to be part of one of the fastest-growing businesses in a rapidly growing industry. We are committed to diversity, equity and inclusion in all aspects of our hiring process. We recognise that some candidates may require adjustments to apply for a position or fairly participate in the interview process. If you require any adjustments, please don't hesitate to let us know. We will make every effort to provide the necessary adjustments to ensure you have an equitable opportunity to succeed. Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

Location: Spain - Remote About Smartcat Smartcat is building the future of work, where human expertise meets digital teammates to drive 10x to 1000x productivity gains for the world’s leading enterprises. We’re on the frontier of an entirely new category: Agentic AI. We enable enterprises to build high-performing hybrid workforces made up of both humans and AI agents. These AI agents aren’t generic copilots. They’re fully trained digital teammates that learn from your best people, your content, and your business strategy—ready to get to work from day one. Our platform combines generative AI, human-in-the-loop workflows, and a living Enterprise Skill Graph that continuously learns and improves. Whether you're launching a product globally, onboarding new hires, translating learning content, or aligning legal teams across regions, Smartcat turns knowledge into action and action into scale. Over 1,000 companies, including 20% of the Fortune 500, rely on Smartcat to bring their business to the world—instantly, accurately, and in every language. As a Series C company with consistently high year-over-year growth, we’re scaling fast and investing in people who want to shape the future of work with us. Join us in unlocking global potential, one human and agent team at a time. Mission We are looking for a true leader who will manage DevOps and Infrastructure teams to improve, and maintain the technical infrastructure required to support the development, deployment, and operation of Smartcat. This includes ensuring the availability, scalability, and reliability of staging and production environments, and defining and enforcing best SRE and DevOps practices. Outcomes Zero Incorrect Release-Related Production Issues: Enforce rigorous CI/CD testing and reviews to eliminate release errors. CI/CD and Staging Servers Availability at 99.9%: Maintain robust staging infrastructure with minimal downtime, ensuring a 99.9% uptime. Product Availability at 99.99%: Implement resilient systems and procedures for near-perfect product uptime, with effective disaster recovery plans. Decrease Lead time by accelerating CI/CD pipelines and environments Build and manage a team of A+ players within the engineering organisation across different regions and time zones. You are expected to strengthen the hiring process, provide expert technical guidance, effective coaching, and career development for your team members Requirements 3 years of experience leading a team in a fast-growing multinational IT business; 5 years of experience in DevOps and SRE, maintaining high-RPS (Requests Per Second) distributed products; Utilize a data-driven approach. Ability to justify decisions using concrete metrics; Can build relationships with neighboring teams, initiate and adhere to agreements, and act as an interface between your team and the environment; Strong hands-on experience with DevOps practices (in a leading role), specifically in building complex CI/CD pipelines, implementing IaC (Infrastructure as Code), and realizing various deployment strategies; Experience in implementing secure development environments; Possess practical experience in developing and maintaining large scalable applications in the cloud (AWS, Azure, GCP); Tech Stack .Net Core, MongoDB, Vue 2/3, AWS, Kafka, ES, Gitlab CI, Prometheus, Victoria Metrics, Jaeger, k8s Why joining Smartcat might be your best move so far A global, connected team We’re a team of 200+ people across 30+ countries, working together through a hub-and-spoke model anchored in eight key locations: New York, London, Lisbon, Costa Rica, Serbia, Armenia, Georgia, and Spain.  Most of our roles are remote-friendly, giving you the flexibility to do your best work from where you thrive. For customer-facing teams, we prioritize proximity to our customers, ensuring we stay deeply connected to their needs and deliver an exceptional experience.  No matter where you’re based, you’ll be part of a highly collaborative, globally-distributed team that values ownership, speed, and meaningful impact. Be part of an AI Native Organization We are highly innovative, using AI across all areas of the organization to accelerate decision-making and free people to focus on strategy and high-impact work. We embrace new ideas and encourage all Smartcaters, regardless of level or department, to manage their own AI Agents. At Smartcat you’ll shape how AI transforms the workplace and play an integral role in ensuring Smartcat remains a leader in AI innovation. Innovating a $100 Billion industry Smartcat is reshaping the $100B multilingual content industry with an AI-powered platform that makes it easy for companies to create, translate, and localize global content at scale. Our platform enables enterprise teams to move away from slow,  traditional outsourcing methods, and achieve fast, high-quality results, at a fraction of the cost. Join the rocketship to scale-up 10x and beyond together We are looking for someone to become an integral part of our team and play a crucial role in the most exciting part of our journey: transitioning from a post-Series C startup to a company exceeding $100M in ARR and $1B in valuation. Our journey isn’t for the faint of heart. We are growing at 130% YoY, thanks to our strong product-market fit and high-performing team, and plan to accelerate from here. Smartcat Culture Code : Where Diversity Meets High Performance At Smartcat, we are committed to building a culture that highlights respect and appreciation for each individual's unique background and perspective, while maintaining a strong focus on results and engagement. We believe in welcoming everyone and fostering an inclusive environment where team members can be their authentic selves at work. Our commitment to inclusion is steadfast, and we stand firmly against discrimination and harassment.

Требования: — Основное: Python, FastAPI, Git, Docker. — AI фреймворки: OpenAI SDK, LangChain / LangGraph, LlamaIndex. — Автоматизация: n8n, Make, REST API, Webhooks. — БД: SQL, PostgreSQL, Vector DBs (Redis / NoSQL как плюс). — Высшее техническое образование (CS, ИИ, математика, анализ данных) или сильный практический бэкграунд и портфолио реализованных AI-продуктов. — Опыт вывода AI-решений в реальный Production (логирование, обработка ошибок, мониторинг). — Плюсом будет: работа с multi-agent системами, Voice AI, Computer Vision / Multimodal AI. — Опыт fine-tuning моделей и локального деплоя open-source LLM (Hugging Face, PyTorch, Kubernetes). — Английский (чтение документации, написание English prompts). Локация: Минск, офис.

Location: London, United Kingdom - Deliveroo Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Software Engineers, Subscriptions - Backend Deliveroo is now part of DoorDash, one of the largest online food ordering and delivery platforms in the world. As part of this role, you'll join one of our Subscriptions teams in London, focused on the core proposition and working across our three subscription programmes - DashPass, Deliveroo Plus, and Wolt+. You'll work closely with engineering teams across the US and Europe, as part of the Global Subscription organisation, to build and evolve the shared subscriptions capabilities that power loyalty and membership experiences for millions of customers worldwide. We're hiring backend engineers who want to be at the front line of what engineering looks like in the age of AI. 💡 Why Subscriptions? An AI-first team by design. We don't use AI as a productivity add-on - we treat agentic coding as a core engineering discipline. We expect our engineers to build with AI agents, to challenge what's possible when the human-in-the-loop is a multiplier rather than a bottleneck, and to push the boundaries of what a small, focused team can ship. Real ownership, real impact. Our subscription programmes are touching millions of users daily. You'll own features end-to-end - from the idea through production - and see your work matter at scale. Cross-org engineering at the frontier. Deliveroo,  DoorDash and Wolt are working together in order to align subscription experiences across three of the world's leading delivery platforms. This is engineering at the intersection of product ambition and international complexity. A small team that punches above its weight. We're a cross-functional team: Backend, Mobile, Web, Product, Design, and Data - all in the same room. No handoff theatre. You'll move fast, ship iteratively, and be around people who take craft seriously. 🤖 AI-First Engineering - What This Means Here We're building teams at the forefront of agentic coding. This isn't about using Copilot to autocomplete boilerplate. We mean engineers who: Design workflows where AI agents handle entire task loops, from spec to PR. Think in terms of orchestration: what does a human review, what does the agent own? Build internal tooling and abstractions that make AI-assisted development faster and more reliable for the whole team. Stay curious and ahead of the curve - trying new models, agents, and tools as they emerge, and forming strong opinions about what's genuinely useful vs. hype. If you find yourself naturally asking "can an agent do this?" before reaching for the keyboard, you'll fit right in. 🔍 What We're Looking For Across all roles Strong engineering fundamentals - you've built and shipped software that runs at scale, and you understand what that entails: testing, observability, reliability, and maintainability. Genuine enthusiasm for AI-first development. You use AI tools daily and have formed real opinions about how to get the most out of them. Ownership mentality: you drive projects forward, communicate clearly across teams and time zones, and don't wait to be told what to do. Collaborative instincts - the Subscriptions domain sits at the intersection of consumer mobile, web, backend, and data. Cross-functional work is the norm, not the exception. 🙌 About You You've built and shipped real software - products, platforms, APIs, apps - and you know what it takes to keep things running reliably in production. You have opinions about architecture but hold them lightly. You write tests. You read the alerts. You don't leave loose ends. What sets you apart right now is that you're genuinely excited about where engineering is going. You've been experimenting with AI agents and agentic coding workflows - not because someone told you to, but because you couldn't help yourself. You think about how to redesign your development loop from first principles, not how to bolt AI onto the way you already work. You communicate well, collaborate easily across disciplines, and care about the product as much as the code. You're the kind of engineer who asks "what's the best way to..." and then actually follows through. 🌍 Where You'll Work These roles are based in our tech hub in London. Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

Location: Limassol Workplace: onsite About Unlimit Unlimit is the global financial infrastructure for the borderless agentic economy. Designed to bridge the gap between fragmented local markets and the future of autonomous commerce, Unlimit provides the programmable operating layer for the world’s most ambitious businesses. Through an integrated technology stack, the platform unifies global payment acceptance, programmable financial accounts, and digital asset rails into a singular financial layer. By mapping hyper-local payment ecosystems directly into its architecture, Unlimit enables businesses to move value and settle transactions instantly across continents. Built on decades of hard-won regulatory depth and an extensive global license portfolio, the platform provides direct access to a massive global infrastructure. With major hubs in London, San Francisco, Singapore, São Paulo, and Mexico City, Unlimit is building the infrastructure that makes global expansion a matter of code, not geography. About the job:   We are seeking a Client Relationship Manager to grow relationships and support the opening of corporate IBAN accounts for business clients. The role involves promoting Unlimit’s solutions, managing client accounts, and providing superior, professional service and operational support. The position plays a crucial part in driving client satisfaction and business development. Key duties and responsibilities: Demonstrate a strong understanding of each client’s business model and funds flow in order to effectively promote and upsell Unlimit’s solutions. Support the onboarding process for key clients across a range of industries, including IT (software development, mobile apps), Gaming, Online (marketing, online projects, social networks), Blockchain, E-Commerce, Fintech, and Investments. Manage and grow the existing client portfolio, ensuring long-term engagement and trust-based relationships. Advise clients on our products and payment rails, helping them optimize their payment account activity and resolve AML-related payment requests. Collaborate with other departments to support client requests effectively Qualifications You Bring: 2+ years of experience in a Relationship Management, Account Management, Business Development or other any Client facing role, ideally, but not limited to the banking, B2B or corporate services industry. University degree or equivalent is considered beneficial. Ability to work independently, and possess strong organizational, time management, and communication skills. Experience working with CRM systems and/or in-house software programs. Good communication in English is a must, proficiency in any other language is beneficial. We offer: Attractive monthly salary paid in line with experience Vacation, sick, and paid holidays Full-time: 5/2 (Saturday and Sunday days off) Modern workplace with all necessary equipment A team of top international professionals to learn from Multicultural working environment Join Unlimit Team now!   Unlimit is an equal opportunity employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We welcome applications from all members of society irrespective of age, sex, disability, sexual orientation, race, religion or belief.

Location: Tunis, Tunisia Workplace: hybrid About Yassir:   Yassir is the leading super app in the Maghreb region, set on changing the way daily services are provided. It currently operates in 45 cities across Algeria, Morocco and Tunisia, with recent expansions into France, Canada and Sub-Saharan Africa. It is backed (~$200M in funding) by VCs from Silicon Valley, Europe and other parts of the world. We offer on-demand services such as ride-hailing and last-mile delivery. Building on this infrastructure, we are now introducing financial services to help our users pay, save and borrow digitally. We're helping usher the continent into a digital economy era, not just by serving people, but by building a marketplace that brings people what they need while infusing social values. About the Role Yassir's marketplace runs on decisions made millions of times a day: which driver gets which trip, what a ride should cost, when an order will arrive, which transaction looks fraudulent, who qualifies for credit. We are looking for a Product Manager who owns the machine learning systems behind those decisions and is accountable for their measurable impact on the business. This is a product role for ML-heavy, data-intensive products. You will lead discovery from data rather than from opinion, frame business problems as problems a model can actually solve, define what success means both offline and in production, and prove impact through well-designed experiments. You will work closely with data scientists, ML engineers and data engineers, and with product and operations partners across ride-hailing, delivery and financial services. What This Role Is (and Isn't) This role centres on predictive and decisioning ML: ranking, matching, forecasting, pricing, risk and personalisation. Experience building LLM or agentic features is welcome, but it is not a substitute for the fundamentals below. If your ML product experience is primarily integrating third-party models or APIs into user-facing features, this role is likely not the right fit. Responsibilities Data-led discovery: Identify and size ML opportunities by going into the data yourself. Diagnose where the marketplace is losing value (supply-demand imbalance, cancellations, ETA error, fraud losses, default rates) and translate it into a prioritised, quantified problem backlog. Problem framing: Turn business problems into well-posed ML problems: define the prediction target, the decision it informs, the unit of analysis, label availability and quality, and the cost of different error types. Know when a problem does not need ML and a rule or heuristic will do. Metrics and success criteria: Define the chain from model metrics (e.g. precision/recall, calibration, MAE) to product and business metrics, and own guardrail metrics. Understand why offline gains often fail to translate online, and plan for it. Experimentation and causal inference: Design and interpret controlled experiments, including in two-sided marketplace settings where interference makes standard A/B tests unreliable (switchback, geo or cluster-randomised designs). Reason about statistical power, novelty effects and heterogeneous impact across cities and segments. Distinguish correlation from causation, and know which quasi-experimental methods to use when randomisation isn't possible. ML product lifecycle: Own models from framing through data requirements, baseline, iteration, launch, monitoring and retirement. Partner with engineering on rollout strategy, model monitoring, drift detection, retraining cadence and failure modes. Treat a model in production as a product that degrades if unattended. Roadmap and trade-offs: Own the ML product roadmap across domains and countries. Make explicit trade-offs between accuracy, latency, cost, interpretability, fairness and regulatory requirements, especially in credit and financial services. Stakeholder alignment and visibility: Make the impact of ML work legible to non-technical leadership. Communicate results, including null and negative results, with rigour and clarity. Align product, operations, risk and marketing partners on shared objectives. Leadership and culture: Raise the bar on how the organisation makes decisions with data. Mentor peers, build a culture of feedback and trust, and invest in your own growth and that of those around you. Requirements 4+ years of product management experience, including at least 2 years owning ML-driven products that run in production and influence core business decisions (e.g. pricing, matching, ranking, forecasting, fraud, credit risk, recommendations). Hands-on fluency with data: you can write SQL, explore data independently and challenge an analysis without waiting for someone else to run it. Demonstrated experience designing, running and interpreting controlled experiments, and a solid working understanding of causal inference. Strong understanding of core ML concepts: supervised learning, evaluation metrics and their trade-offs, overfitting and leakage, bias, calibration, and the relationship between offline and online performance. A track record of shipping ML products where you can clearly articulate the problem framing, the metrics chosen, the experiment design and the measured business impact, including what went wrong. Experience working with distributed or remote teams across multiple markets. Experience in marketplaces, mobility, on-demand delivery or fintech is a strong plus. BSc/MSc in Engineering, Computer Science, Statistics, Data Science or a related quantitative field.

Location: Munich Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW As Harvey scales its post-sales function across EMEA, we are hiring a Legal Engineer Manager - Product Specialist to lead and grow the Product Specialist team in Munich. This role was created to provide senior leadership and strategic direction to a team of Product Specialists who support existing customers in maximising their use of the Harvey platform. Harvey’s Legal Engineer - Product Specialists are experienced lawyers from top-tier firms who leverage their legal expertise to help customers seamlessly integrate Harvey into their daily workflows - driving adoption, increasing utilisation, and supporting long-term expansion and renewal. Legal Engineer - Product Specialists collaborate closely with Harvey’s Customer Success Managers to drive all facets of the post-sales strategy. They develop consultative relationships with law firm partners, associates, innovation teams, and in-house counsel, serving as trusted advisors on how Harvey’s AI solutions can enhance legal effectiveness and efficiency. Legal Engineer - Product Specialists draw on their legal training and practice experience to ask thoughtful questions, uncover adoption barriers, and develop tailored strategies that build credibility with customers. They partner with Customer Success Managers to communicate Harvey’s value through a mix of large group sessions, small workshops, and one-on-one conversations. WHAT YOU'LL DO - Lead and develop a team of Legal Engineers - Product Specialists in the DACH region, providing coaching, performance management, and career development support. - Own the post-implementation customer relationship from a legal engineering perspective, ensuring law firm and in-house clients are effectively onboarded, trained, and supported on an ongoing basis - Act as the senior escalation point for complex or strategic customer engagements, bringing deep product and legal expertise - Partner with Account Management and Sales to identify expansion opportunities, support renewals, and contribute to retention strategy - Collaborate with the Product team to surface customer feedback, advocate for platform improvements, and keep the team informed of new features and roadmap developments - Define and iterate on team processes, playbooks, and frameworks to build a scalable and high-performing function WHAT YOU HAVE - Qualified lawyer with 7+ PQE, with experience in a law firm or in-house legal environment - Prior experience managing or mentoring a team, with a track record of developing talent and driving performance - Deep familiarity with legal technology and AI tools, with an ability to quickly develop and demonstrate platform expertise - Strong commercial instincts and the ability to engage credibly with senior stakeholders at law firms and in-house legal teams - Excellent communication and presentation skills, with experience running training, workshops, or client-facing product sessions - Comfort operating in a fast-paced, high-growth environment with a pragmatic, solutions-oriented approach DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-LM1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Требования: — Уверенная работа с SQL и Python — Опыт работы с AI/ML-продуктами — Анализ LLM-based продуктов, AI Agents, conversational AI — плюс — Умение превращать данные в продуктовые решения О компании: MEDvidi — онлайн-клиника ментального здоровья в США. Развивает текстовых и голосовых AI-ассистентов для пациентов.

Location: Paris, France; London, United Kingdom; Lisbon, Portugal; Milan, Italy; Rome, Italy; Berlin, Germany; Athens, Greece; Barcelona, Spain; Bari, Italy; Split, Croatia; Copenhagen, Denmark; Oslo, Norway; Tallinn, Estonia; Lima, Peru; Limassol, Cyprus; Budapest, Hungary; Florence, Italy; Amsterdam, Netherlands; Stockholm, Sweden; Warsaw, Poland; Kraków, Poland; Lublin, Poland; A Coruña, Spain; Aachen, Germany; Aalborg, Denmark; Aarhus, Denmark; Aberdeen, United Kingdom; Algarve, Portugal; Loulé, Portugal; Alicante, Spain; Andijan, Uzbekistan; Amstetten, Austria; Almería, Spain; Antalya, Türkiye; Antwerp, Belgium; Amadora, Portugal; Almaty, Kazakhstan; Alajuela, Costa Rica; Badajoz, Spain; Bedford, United Kingdom; Belgrade, Serbia; Bern, Switzerland; Birgu, Malta; Birmingham, United Kingdom; Bordeaux, France; Bologna, Italy; Braga, Portugal; Brașov, Romania; Brno, Czechia; Bursa, Türkiye; Seoul, South Korea; Bydgoszcz, Poland; Čačak, Serbia; Caieiras, Brazil; Cascais, Portugal; Celje, Slovenia; Cardiff, United Kingdom; České Budějovice, Czechia; Chelyabinsk, Russia; Cork, Ireland; Craiova, Romania; Crete, Greece; Debrecen, Hungary; Derby, United Kingdom; Dublin, Ireland; Düsseldorf, Germany; Edirne, Türkiye; Edinburgh, United Kingdom; Eindhoven, Netherlands; Eisenstadt, Austria; Faro, Portugal; Frankfurt, Germany; Freiburg, Germany; Gdańsk, Poland; Gebele, Azerbaijan; Gaziantep, Türkiye; Ganja, Azerbaijan; Geneva, Switzerland; Gothenburg, Sweden; Goiânia, Brazil; Glasgow, United Kingdom; Graz, Austria; Girona, Spain; Hamburg, Germany; Iași, Romania; Île-de-France, France; Innsbruck, Austria; Ingolstadt, Germany; Kaunas, Lithuania; Kerpen, Germany; Kičevo, North Macedonia; Klagenfurt am Wörthersee, Austria; Klang, Malaysia; Kyiv, Ukraine; Kufstein, Austria; Larnaca, Cyprus; Leeds, United Kingdom; Lefke, Cyprus; Leicester, United Kingdom; Leibnitz, Austria; Limbourg, Belgium; Liepāja, Latvia; Limerick, Ireland; Linz, Austria; Liverpool, United Kingdom; Ljubljana, Slovenia; Łódź, Poland; Madrid, Spain; Maastricht, Netherlands; Lyon, France; Málaga, Spain; Manchester, United Kingdom; Marbella, Spain; Marseille, France; Metropolitan City of Naples, Italy; Miskolc, Hungary; Monaghan, Ireland; Munich, Germany; Newcastle upon Tyne, United Kingdom; Nice, France; Novosibirsk, Russia; Nyíregyháza, Hungary; Oeiras, Portugal; Ostrava, Czechia; Palermo, Italy; Paphos, Cyprus; Passau, Germany; Patras, Greece; Pécs, Hungary; Pilsen, Czechia; Porto, Portugal; Plovdiv, Bulgaria; Poznań, Poland; Prague, Czechia; Pristina, Kosovo; Regensburg, Germany; Rosenheim, Germany; Rotterdam, Netherlands; Saint Pölten, Austria; Saint-Étienne, France; Saint-Tropez, France; Sheffield, United Kingdom; Sintra, Portugal; Sofia, Bulgaria; Stara Zagora, Bulgaria; Strumica, North Macedonia; Stuttgart, Germany; Suzano, Brazil; Sveta Nedelja, Croatia; Swansea, United Kingdom; Sydney, Australia; Tbilisi, Georgia; The Hague, Netherlands; Thun, Switzerland; Tirana, Albania; Toulouse, France; Tripoli, Lebanon; Turin, Italy; Ulm, Germany; Utrecht, Netherlands; Valencia, Spain; Valletta, Malta; Venice, Italy; Verona, Italy; Vienna, Austria; Vilnius, Lithuania; Wiesbaden, Germany; Würzburg, Germany; Zagreb, Croatia; Zadar, Croatia; Zaragoza, Spain; Zürich, Switzerland; Karpacz, Poland; Dnipro, Ukraine; Niš, Serbia; Sibiu, Romania; Baku, Azerbaijan; Basel, Switzerland; Belfast, United Kingdom; Bergen, Norway; Birkirkara, Malta; Bratislava, Slovakia; Bruges, Belgium; Brussels, Belgium; Bucharest, Romania; Burgas, Bulgaria; Chișinău, Moldova; Cluj-Napoca, Romania; Cologne, Germany; Constanța, Romania; Coventry, United Kingdom; Daugavpils, Latvia; Dresden, Germany; Galway, Ireland; Genoa, Italy; Ghent, Belgium; Hanover, Germany; Helsinki, Finland; Heraklion, Greece; İstanbul, Türkiye; Kazan, Russia; Kharkiv, Ukraine; Košice, Slovakia; Leipzig, Germany; Lille, France; Lviv, Ukraine; Malmö, Sweden; Maribor, Slovenia; Moscow, Russia; Nantes, France; Naples, Italy; Newcastle, United Kingdom; Nicosia, Cyprus; Nizhny Novgorod, Russia; Novi Sad, Serbia; Nuremberg, Germany; Pljevlja, Montenegro; Podgorica, Montenegro; Saint Petersburg, Russia; Salzburg, Austria; Samara, Russia; San Marino; Sarajevo, Bosnia and Herzegovina; Seville, Spain; Skopje, North Macedonia; Sliema, Malta; Zrenjanin, Serbia; Wrocław, Poland; Varna, Bulgaria; Timișoara, Romania; Thessaloniki, Greece Workplace: fully David Kennedy Recruitment is working with a fast-growing AI technology company with over 50 million users worldwide that is seeking to onboard a Talent Acquisition Specialist to join their team. The successful candidate will be the company's third Talent Acquisition Specialist, working closely with the CEO and business leaders to recruit internationally across every function, with a strong focus on tech, while helping shape how recruitment evolves as the company grows beyond 100 employees. Location: Europe, Remote Employment type: B2B contract Remuneration: Competitive salary dependant on experience DUTIES AND RESPONSIBILITIES: Map and engage top talent from Tier 1 tech hubs and companies worldwide, including candidates who are not actively applying Help implement an AI-first recruitment stack, using AI agents, niche technical communities and unconventional channels to find exceptional talent Build and maintain long-term relationships with passive talent globally to stay ahead of hiring needs Own the candidate journey from the first discovery call to the final close Conduct structured interviews assessing technical aptitude and cultural alignment Test new AI tools and sourcing strategies that keep the quality bar high Contribute to employer branding initiatives and content that position the company as a leading destination for AI talent REQUIREMENTS: 3+ years of recruitment experience, including at least 2 years in tech recruitment Experience working in a start-up or scale-up environment Global sourcing experience, with a track record of attracting talent from major tech hubs (USA, EU, LATAM, etc.) Familiarity with Applicant Tracking Systems (ATS) and other recruitment tools Perfectly fluent English and strong communication and collaboration skills Goal-oriented with strong ownership and a doer mindset, balancing execution, planning and strategy Humble and open to feedback, thriving in a high-trust environment Comfortable hiring for products built on uncensored models and NSFW content Advantages Experience in AI recruitment or familiarity with the AI space Exposure to employer branding, compensation benchmarking or broader talent acquisition initiatives BENEFITS: Fully remote, working from anywhere B2B contract preferred, with flexibility on contract type 20 working days of paid time off per year Annual in-person company gathering Monthly allowance towards health insurance expenses Unlimited 1:1 sessions with psychologists and lifestyle experts, also available to up to three family members Co-working space budget of up to two visits per month Learning budget for courses, books, conferences, events or certifications Company equipment Premium access to AI tools Opportunity to help shape the Talent Acquisition function at a defining stage of growth And many more!!!

Location: Germany (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. The Opportunity: We’re looking for a Senior Solutions Architect (Professional Services) to join Grafana Labs’ world-class Customer Experience team. This is a highly hands-on role for technically skilled professionals who thrive on helping customers solve complex problems, accelerate adoption, and drive real business outcomes with Grafana at the center. As a Solutions Architect, you’ll be a trusted technical partner —not a quota-carrying seller, but a customer-first advocate who leads with authenticity and insight. You’ll guide organizations through onboarding, implementation, and expansion by offering white-glove support, best practices, and proven strategies gathered from across our customer base. You’ll operate with one foot in the code and the other in the customer’s world. Whether it’s understanding container orchestration in Kubernetes, fine-tuning Prometheus queries, or clarifying the nuances between logs, metrics, and traces—you’ll bring clarity and confidence to complex technical landscapes. You know the difference between "pets and cattle" and why that matters for scalable observability. You’ll deliver high-impact training, jumpstart engagements, and offer tailored technical consulting to help customers succeed. As an embedded partner during critical phases, you’ll provide roadmap assurance, guide project execution, and ensure Grafana's capabilities align with the customer’s architecture, goals, and constraints. Along the way, you’ll identify recurring issues, monitor support needs, and advocate for product improvements in close collaboration with internal teams. Success in this role means being a strategic thinker and a command-line problem solver. You’re passionate about OSS, love engaging with customers, and have the instincts to manage timelines, unblock teams, and deliver value at every stage of the engagement. Join us and help elevate the Grafana customer experience through world-class technical delivery and meaningful impact. What You'll Be Doing: Effective in working with customers, including business executives, project managers, and IT development staff. Effective in understanding business needs and distilling the information into business and technical requirements. Comfortable working with complex business and technological requirements and translating into the design of solutions, including data visualization, workflow recommendations, migrations, and enterprise scale architecture. Ability to act as a functional lead and able to demonstrate clear approach to methodology as well as functional capabilities. Leads functional workshops with customers, documents requirements, and designs appropriate solutions. Speed is paramount. This team is nimble and is the fulcrum to accelerate the delivery of the solution for customers. Be a strong advocate for adherence to standards and best practices. Stay current on Grafana Labs, observability, and related technologies. You'll be a key resource for our Sales, Product Management, Engineering, Support, and Professional Services teams as they look to drive innovation and improvements into future product and offering enhancements. If you enjoy working with customers to help them succeed and thrive on working with leading-edge technologies, this is the role for you. What Makes You a Great Fit: Located in the Germany 5+ years of experience working on deployment teams, using project management techniques. Direct experience with o11y. Best practices for both using and deploying an o11y stack (visualization, alerting, metrics, logs, traces) - preferably with Grafana products (Grafana, Prometheus/Cortex/Enterprise Metrics, Loki/Enterprise Logs, Jaeger/Tempo). A proven track record of successful delivery of customer projects, preferably enterprise o11y implementations for large customers Excellent communication skills to communicate with customers, partners, and internal members. Kubernetes (kubectl, Helm, Tanka preferred). Experience with Cloud Platforms - AWS, GCP, Azure Bonus Points For: Self-starter, adept at picking up new skills and technologies, and eager to break new ground. Vision to help us take our company to the next level. Compensation & Rewards: In Germany , the base compensation range for this role is 109,700 EUR - 131,600 EUR. 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. *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 .

Задачи: — Внедрять Agentic SDLC в своей команде, где агенты помогают на всех этапах разработки, от спецификаций до тестов и релиза. — Распиливать монолит, переходить к событийной архитектуре и доменным сервисам параллельно с продуктовой разработкой. — Работать в автономных кросс-функциональных командах с feature-lead культурой и поддержкой платформенной команды по инфраструктуре и инструментам. — Принимать решения на основе метрик: DORA, метрики потока, продуктовые и бизнес-показатели. — Влиять на формирование процессов и ролей в команде. Требования: — Руководитель команды с сильным инженерным бэкграундом. — Разбирается в архитектуре. — Умеет работать с людьми. — Предпочитает менять и развивать, а не поддерживать. Условия: — Полная удалёнка, можно работать из любой точки мира. Стек: Python, Django, FastAPI, микросервисы, Vue 3 + TypeScript, Flutter, ML в поиске и рекомендациях.

Location: Anywhere in France, Belgium, Spain HEALTH CAN’T WAIT. Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t. Alan exists to end the wait. Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way. So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience. We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR. Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond. 🐼 WHO WE ARE You. Better. With Alan. Alan's vision is to make prevention the new norm of care for all. Our mission is to help people live in good health to 100 while helping employers feel proud, turning health benefits from a cost center into their most valuable investment. We're building a vertically integrated health partner that seamlessly unites insurance and smart healthcare delivery into one system. By connecting all aspects of care - private, public, and direct to consumer - we create the most member-centric healthcare experience. Through deep engagement, we empower everyone to overcome day-to-day health obstacles and live healthier lives. We partner with 35K+ companies of all sizes, serving more than 1M+ members, and have reached 770M+ in ARR. Our team of 700 people (still growing) operates across France 🇫🇷, Spain 🇪🇸, Belgium 🇧🇪, and Canada 🇨🇦. 🚀 WHAT YOU'LL BUILD AND WHO YOU'LL WORK WITH You would join the product team that builds the AI agents answering our 1M+ members' questions about their health insurance - reimbursements, coverage, claims, account changes and more - instantly and without waiting for a human. Our AI agents already fully resolve more than 50% of members' questions. Your mission is to push that number further, increase the quality of answers and the trust members place in them, and make our agents work with the other AI agents at Alan, such as Mo our health companion. Concretely, you will: - Design and ship LLM-powered agents that understand a member's request, reason over their contract, claims and history, and take real actions on their behalf - building the tools, retrieval and context pipelines that give them the right information at the right moment - Make our agents interoperate with other AI agents across Alan, such as Mo: handing off conversations, sharing context and calling each other's capabilities, so members get one seamless experience - Bring automated resolution to new channels, starting with AI phone support: real-time voice conversations with the same quality bar as written ones - Own evaluation: build datasets, automated evals and quality monitoring so we know an agent is right before members see it - Measure and improve resolution rate, answer quality and member satisfaction in production, iterating fast on prompts, models and architecture - Work hand in hand with care experts and product to identify the next topics the AI can fully resolve ⚡ WHY THIS ROLE IS SPECIAL - Direct Impact: Every point of automated resolution means members get help instantly, when they need it the most - and directly drives Alan's scaling, growth and profitability. - Applied AI at scale: You won't build demos. You'll ship AI agents that handle hundreds of thousands of real conversations per month in a regulated, high-stakes domain, where accuracy truly matters. - Frontier problems: Agentic workflows, tool use, evaluation, safety and guardrails, cost and latency trade-offs - you'll tackle the hardest open questions in production LLM systems. - Ownership & Growth: Influence product direction, mentor other engineers, and lead technical initiatives that shape the future of healthcare access. 🔍 WHAT WE'RE LOOKING FOR Technical Requirements: - 5+ years building scalable software systems - Strong backend experience (Python is a plus) - Hands-on experience building products with LLMs (agents, tool calling, RAG, prompt engineering, evaluation) - ideally shipped to production - An evaluation mindset: you know how to measure whether an AI system is actually good, and how to make it better What we value: - You love turning complex problems into elegant solutions - You care about the "why" behind what you build, not just the "how" - You stay on top of a fast-moving AI landscape and are pragmatic about what really works - Humble and still willing to grow (no matter your seniority) Mission Alignment: - Healthcare technology excites you - You understand that insurance isn't just about money - it's about access to care But above all, we are looking for high potential and curiosity: make sure to show us this when you apply! Everything else is a bonus. ⭐ THE ENGINEERING TEAM ⭐ In our engineering team, we build the infrastructure, interfaces, and applications to provide first-class service to our members, health professionals, and even ourselves! Being an engineer at Alan means joining a team of talented, committed and passionate engineers, with a lot of product interaction. We move fast, with a lot of ownership, and are proud to tackle big problems! Our process is very simple: those who make product decisions are the same ones who build them. Our stack is React, Python/Flask, PostgreSQL in a monorepo. If you are not familiar with this stack but are a keen learner, it is totally fine. We deploy daily and believe in distributed ownership - you build it, you own it. Want to know more? Read this article https://blog.alan.com/tech-et-produit/engineering-organisation-at-alan if you want to discover how life as an Engineer at Alan and this article https://medium.com/alan/engineering-career-path-at-alan-e5de5c2e740c on our Engineering career path. To see all our opened Engineering positions, click here https://jobs.ashbyhq.com/alan?departmentId=8ba0fb44-ec79-4731-bf45-d65a821e24f0 ! 🌍 HOW WE WORK Location: You must be legally eligible to work in France, Belgium or Spain. Remote work: We offer remote work flexibility, but we value in-person collaboration. Check here https://alan.com/en/careers/a/everyday-life for more information about our everyday life! 🎯 IMPORTANT NOTE: WE HIRE PEOPLE, NOT ROLES. If you're excited about this opportunity but don't check every box, we'd love to hear from you. Everyone, no matter how underrepresented, should feel free to apply, as it can only bring learnings or success. If you identify yourself as a woman: Did you know that research shows women often apply only when meeting 100% of requirements? Remember, this is just a guide, not a checklist. We'll be thrilled to receive your application! 🔖 Check out our About Alan and Career pages, as well as our Medium, blog and Glassdoor pages for more info. YOU WANT TO KNOW MORE ABOUT ALAN? - 🙌 Perks & Benefits https://alan.com/en/careers/a/salary-equity: Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers. - 🤘 A strong culture https://alan.com/en/about/a/leadership-principles: People joining Alan are often surprised and delighted by our innovative working method. We have a set of cultural values that guide our approach to work 🔄 A quick note about the process Note: While you're applying for a specific area, you may join a different engineering team based on where we think you'll have the most impact. Check out descriptions of other areas here https://www.notion.so/alaninsurance/Software-Engineering-Areas-Alan-2c61426e8be7805bacd2cdbc08c32640?source=copy_link.

Location: Philippines; Metro Manila Workplace: Remote ROLE OVERVIEW The Sales Ambassador is responsible for driving motorcycle loan acquisition and ensuring smooth on-ground execution within partner dealer stores. The role covers customer engagement, sales conversion, inventory coordination, and end-to-end support during unit release, while ensuring compliance with company policies and documentation standards. KEY RESPONSIBILITIES 1. CUSTOMER ENGAGEMENT (WALK-IN CLIENTS) - Proactively approach and engage walk-in customers within partner dealer stores - Guide customers through the Salmon Moto Loan application process - Clearly explain product features, loan terms, perks, and benefits - Handle customer inquiries and address concerns to support decision-making 2. SALES CONVERSION & APPLICATION PROCESSING - Assist customers in completing loan applications via the Salmon Agent App - Ensure accurate encoding of customer information during application - Collect and verify required IDs and supporting documents - Ensure completeness and readiness of documents prior to submission 3. RELEASE EXECUTION (DURING UNIT RELEASE) - Prepare all required documents for customer signing - Ensure correctness and consistency of customer details across all documents - Verify that the motorcycle unit is in good condition prior to release - Set up required marketing materials (e.g., backdrop, branding) during release activities - Ensure proper documentation and turnover process is completed 4. INVENTORY MONITORING & REPORTING - Monitor motorcycle inventory within assigned partner dealer stores - Track inventory movements including sales, deliveries, and transfers - Regularly report inventory status to Head Office, particularly to the assigned Inventory Manager - Flag discrepancies or issues in inventory to the appropriate stakeholders 5. PARTNER COORDINATION - Build and maintain strong working relationships with Branch Managers and dealer staff - Coordinate closely with store personnel to ensure smooth customer handling and loan processing - Support alignment between dealer operations and Salmon processes 6. COMPLIANCE & DOCUMENTATION CONTROL - Ensure all collected documents meet compliance and KYC requirements - Maintain accuracy and consistency of customer information across all submitted documents - Safeguard and properly endorse all documents to the back-office team - Escalate discrepancies, incomplete documents, or potential fraud cases

Location: Ukraine; Poland; Croatia; Spain; Romania; Portugal At SPD Technology, we bring together a team of like-minded people who are driven by the desire to bring value through their work, united in their commitment to high performance and delivering custom, cutting-edge tech solutions that drive clients’ growth. We empower our people with a culture of excellence and enable them with the opportunity to uphold their accountability to contribute on each level. We value humanity and collaboration, encourage professional and personal growth, and foster a supportive and flexible work environment where everyone’s contribution is welcomed. And now we are looking for a Staff Software Engineer to join us as part of our team. About the role PitchBook — a platform for investment professionals. Our software provides access to data and the analytical tools to get answers fast and discover promising opportunities. Uncovers actionable insights and trends hidden within the financial data of more than three million companies. Users all over the world include large corporations, start-ups, venture capital and private equity firms, investment banks, and many others. Our Tech Stack Java, Spring, React, Typescript, Apache Beam, Flink, Python, LangGraph, GCP/AWS, K8s. Work Environment Flexible schedule with participation in team ceremonies and cross-functional collaboration. Time zone: Europe/Kyiv. As a qualified expert, You will - Solve strategic engineering problems hands on. Explore technologies, build prototypes, and produce reference implementations that make architectural qualities and tradeoffs observable. - Design and deliver working software. Architect, implement, test, and maintain services and platform components, including backend systems and architecture-related frontend concerns such as micro-frontend patterns. - Automate architectural conformance. Design and implement AI-based architectural conformance checks and fitness functions that continuously evaluate whether systems follow agreed principles, patterns, and quality constraints. - Turn ambiguity into an executable approach. Break complex problems into bounded areas, apply domain-driven design, and select a practical course of action when information or precedent is limited. - Define measurable quality goals. Establish and continuously evaluate requirements for performance, scalability, reliability, security, availability, recoverability, maintainability, portability, usability, and extensibility. - Document architecture evolution. Describe the current state, target state, transition steps, constraints, alternatives, and decisions in forms that engineering teams can use. - Make explicit engineering tradeoffs. Provide balanced recommendations on build versus buy, now versus later, and refactor versus rebuild, including cost and operational implications. - Create reusable engineering patterns. Develop scaffolding, templates, reference architectures, or platform capabilities that teams can adopt without depending on the Staff Software Engineer long term. - Guide delivery teams. Perform architecture and design reviews, coach engineers through difficult decisions, and enable teams to make high-quality choices independently. - Communicate for the audience. Explain technical context clearly to engineers, technical leaders, product managers, and business stakeholders, and incorporate useful feedback. We’re looking for you if you have - A degree in Computer Science, Information Systems, or a related field, or equivalent practical experience. - At least 6 years of experience in software engineering using Java or a comparable object-oriented language. - At least 3 years developing microservices and experience building distributed or event-driven systems in the cloud. - Practical knowledge of service-oriented architecture, domain-driven design, clean architecture, hexagonal architecture, and common architecture patterns. - Experience implementing agentic applications and tools applying evaluation approaches as part of the process - Experience designing RESTful APIs and event driven Kafka-based applications - Experience with mainstream relational databases, caching, replication, and search technologies. - Experience developing and evaluating agentic applications. - Experience with Google Cloud Platform or Amazon Web Services with container orchestration technologies. - Strong problem-solving skills and the ability to lead through technical guidance across multiple teams without formal authority. - Excellent written and verbal communication with engineers, managers, and product partners. What’s in it for You Reveal great tech solutions Join the team of experts who create custom, cutting-edge tech solutions for world-renowned businesses, fueling clients growth. Unleash your potential, tackle new challenges, and be part of a team that values your skills and contributions. Focus on long-term impact and building tailored, long-lasting partnerships with our clients. Experience an agile and flexible working environment Work fully remote around the globe, or in a hybrid work model from our office hubs which are equipped with everything needed for comfortable work. Enjoy a flexible working schedule and create work and rest balance for yourself. Empower yourself with a stable workload and a stable income, focusing on lasting cooperation and high-performance culture. Embrace the opportunity for personal and professional growth Take advantage of performance review and career path. Elevate your skills with mentorship program, personal development plan, and individual learnings through the corporate library, public speaking support, and more. Feel cared about Be among like-minded people and feel supported with collaboration, open communication and mutual respect. Join company-wide tech and cultural events, and contribute to meaningful CSR initiatives that resonate with your values. Interview Steps Pre-screening with recruiter Technical Screening Technical Interview HR BP Interview Final client Interview

Location: Los Angeles, USA Anti-Cheat is Riot’s first defense against cheaters that don’t want to play fair. As a cross-discipline team of former cheaters, kernel developers, machine learning engineers, data analysts, and software engineers, they make products like Vanguard to detect and ban the bad guys across all of Riot’s competitive titles and platforms, staying vigilant to whatever shape they’ll take in response. From beaming bots to scorching scripters, anti-cheat enables Riot’s game teams to take on competitive genres and design rewarding systems that would otherwise be too vulnerable to fraudsters and cheaters. Riot Machine Learning Engineers on Anti-Cheat are builders, trailblazers, and stewards of competitive integrity. We protect the legitimacy of Riot’s multiplayer games and player experience by building automated detection and decisioning systems to address a wide range of anticompetitive threats. As a Staff Applied AI/ML Scientist on Anti-Cheat, you will build machine learning driven detection systems to identify players engaging in cheating and other forms of abuse, and will develop agentic systems for reviewing and and actioning these players. You will partner with anti-cheat experts as well as game product, engineering, and insights teams to ensure that all Riot games afford safe, fair environments for players to compete and thrive. You will report to the Senior Manager of Anti-Cheat Data and Analytics. Responsibilities: Design, train, and deploy real-time machine learning models to detect gameplay anomalies, automated bots, and memory-tampering exploits. Build scalable inference pipelines capable of evaluating millions of high-throughput game actions per second with minimal latency impact. Partner with anti-cheat software engineers to identify emerging cheat techniques and engineer high-signal features from raw game client telemetry. Establish robust ML Ops practices, including automated model retrain loops and continuous monitoring for adversarial drift. Analyze complex, high-dimensional player data to minimize false positives and maintain a fair, competitive environment for players globally. Work directly with game design and gameplay engineering teams to balance strict anti-cheat enforcement with smooth, responsive, and uninterrupted player experiences. Collaborate with the data engineering team to troubleshoot and optimize ETL pipelines, ensuring efficient data flow and processing. Help set technical direction within Anti-Cheat ML in an ever-evolving anti-cheat landscape Required Qualifications: Bachelor’s degree or higher in Computer Science, Machine Learning, Statistics, or a related quantitative field, or equivalent practical experience. 6+ years of experience delivering ML systems in production, including 3+ years in applied modeling or ML research roles. Deep understanding of traditional machine learning models, and production deployment experience in at least one domain: computer vision, graph neural networks, transformer architectures, or agentic systems. Excellent written and verbal communication with both technical and nontechnical stakeholders. Demonstrated history of quickly delivering impactful machine learning solutions for critical business problems Product owner's mindset, to be able to identify opportunities for impact and then see them through to production. Track record mentoring engineers across roles and levels; evidence of raising the bar for people around you. Desired Qualifications: Experience working in adversarial detection (e.g. information/cyber security, fraud, money laundering, cheating, etc). Familiarity with relational databases (e.g., MySQL, Postgres), document stores (e.g., ElasticSearch), and distributed storage systems (e.g., HDFS, S3, Google Cloud Storage). Experience defining telemetry or instrumentation needs in close partnership with software or data engineers. Working understanding of Windows internal mechanics (e.g. processor memory, driver architecture, etc.) and how adversarial software can leverage them to bypass security controls. Understanding of high-performance competitive multiplayer games and the challenges associated with them. For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players. We will be looking at your past studies, experience, and your personal relationship with games. If you embody player empathy and care about players' experiences, this could be your role! Our Perks: Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our benefits pages for more information. At Riot Games, we put players first . That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application. It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act. Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories: Safeguarding confidential and sensitive Company data Communication with others, including Rioters and third parties such as vendors, and/or players, including minors Accessing Company assets, secure digital systems, and networks Ensuring a safe interactive environment for players and other Rioters These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.