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Location: New York, NY; Pittsburgh, PA Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and that’s where you come in! At Duolingo, you’ll join a team that cares about finding innovative solutions to complex technical problems , running countless experiments (300+ at a time!) with our massive user base to make data-driven decisions, and educating our users and employees alike. You’ll have limitless learning opportunities, mentorship and collaboration with world-class minds, and a variety of projects with large scopes — while doing work that’s both fun and meaningful. Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world. About the role... We are looking for an experienced AI Research Engineer to join our Duolingo Monetization team. The ideal candidate will have a proven track record as an AI research engineer, with extensive experience across various machine learning techniques including large language models, multi-armed bandits, and more. They will have experience at all levels of the ML stack, including feature engineering, developing training data, fine-tuning, reinforcement learning, quality evaluations, deployment, and monitoring. On the Monetization team, we’re building AI systems to improve the learning experience while driving our business, including deploying our research into bandit models to balance revenue and retention. Given the broad set of AI domains, broad experience in AI/ML is highly desirable. 🧠  You will... Join a full-stack team of frontend, backend, and other AI Research engineers, fostering a collaborative and innovative work environment. Contribute to the development and training of bandit models and large-scale neural network models. Collaborate with cross-functional teams to understand their needs, to align the models’ outputs with company objectives. Participate in and help drive strategic product and business decision-making as a member of the Monetization leadership group. Stay up-to-date with the latest developments in machine learning, particularly in LLMs and bandits, and apply this knowledge to drive advancements in our projects. Mentor team members, providing guidance and support in their professional development. Ensure the delivery of high-quality, scalable, and efficient machine learning solutions. ✅  You have... Proven experience as an AI research engineer, for example, in LLMs, bandits, computer vision, or related fields. Strong background in training and fine-tuning large models in an applied setting. Advanced degree in Computer Science, Engineering, or a related field with a focus on machine learning or artificial intelligence, or equivalent experience. Excellent leadership and communication skills, with the ability to manage and inspire a team. Deep understanding of machine learning concepts, frameworks, and best practices. The offered salary is dependent upon several factors, including work experience, skills, and internal peer comparisons. The posted range is subject to change in the future. For this role, base salary is supplemented by equity compensation. We encourage you to talk with your recruiter for more information related to compensation for this role! Salary Range: $220,800 — $331,200 USD Benefits: Take a peek at how we care for our employees' holistic well-being with our benefits here . Job Alerts: Sign up for job alerts here . Accommodations: We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact accommodations@duolingo.com . Equal Employment Opportunity: Duolingo is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Fraud Warning: Unfortunately, there is a rise in scammers pretending to be real Duolingo employees. Duolingo and our employees will never ask for your Social Security number, bank details, or passport info, and we’ll never ask you to deposit a check, purchase equipment, or exchange money during the interview process. Real Duolingo employees always use an email that ends in @duolingo.com or @recruiting.duolingo.com. Stay alert and double-check these details before sharing any information. By applying for this position your data will be processed as per the Duolingo Applicant Privacy Notice .

Location: Berlin Office; Iasi Office; London Office; Dublin Workplace: Hybrid Taktile empowers financial institutions to transform into truly AI-native organizations. We’re growing rapidly with enterprise customers across banks and insurance companies, and we’re looking for a Senior Full-Stack Engineer to join our Platform team. About the role Our Engineering and Product Design teams are building multiple verticals on our platform at high speed, leveraging AI and building agentic functionality into the platform itself. As we scale into the world's largest regulated financial institutions, identity and access management (IAM), authorization, and fine-grained permissions have become foundational to our enterprise readiness. We are hiring a Full-Stack Engineer to join the team building Taktile's IAM and permissions platform: the authorization backbone that powers enterprise-grade access control across our product. Joining us, you'll design and build permission models and access controls end-to-end, from the React/TypeScript access-management and admin UIs down to the Python (FastAPI) authorization services. You'll take on the problems that make enterprise authorization genuinely hard: multi-tenant isolation, fine-grained permission checks in the hot path of millions of decisions a day, audit and access trails, and the constraints of regulated financial services. What You'll Do - Design, build, and operate core authorization primitives such as roles, policies, and fine-grained permission checks (RBAC/ReBAC), along with the authentication and SSO/OAuth/OIDC flows that sit on top of them. - Guarantee strict multi-tenant isolation so every customer's data and decisions stay fully segregated. - Keep fine-grained permission checks fast in the hot path of millions of automated decisions per day, where both latency and correctness are non-negotiable. - Build audit and access-trail capabilities that give customers and auditors a verifiable record of who accessed what, when, and why. - Design for regulated-industry constraints (financial services, SOC 2 / ISO 27001, data residency), where access control is a compliance requirement, not just a feature. - Leverage leading edge AI tools (e.g. Claude) on a daily basis to build industry-shaping AI-native capabilities. Requirement: - 5+ years of professional full-stack experience building backend services in Python (FastAPI or equivalent), including REST APIs and databases - Strong proficiency with React and TypeScript. - Experience building access control systems, with exposure to authentication and authorization concepts (RBAC, SSO, OAuth/OIDC, multi-tenant permissions). - Strong engineering fundamentals with a passion for simplicity and precision. - Experience integrating into AWS or similar cloud providers. - Fluency in English, both written and spoken, is essential as we operate in a remote environment requiring clear and effective communication. Nice, but not required - Deeper backend specialization (async patterns, performance tuning, data modeling). - DynamoDB or Postgres, SQLAlchemy. - Hands-on experience designing authorization systems at scale: fine-grained / ReBAC models, policy engines (OpenFGA or Zanzibar-style systems, OPA), or multi-tenant RBAC for enterprise SaaS. - Prior ops or on-call experience. Our Offer - Work with colleagues that lift you up, challenge you, celebrate you and help you grow. We come from many different backgrounds, but what we have in common is the desire to operate at the very top of our fields. If you are similarly capable, caring, and driven, you'll find yourself at home here. - Experience a truly flat hierarchy and communicate directly with founding team members. Having an opinion and voicing your ideas is not only welcome but encouraged, especially when they challenge the status quo. - Learn from experienced mentors and achieve tremendous personal and professional growth. Get to know and leverage our network of leading tech investors and advisors around the globe. - Receive a top-of-market equity and cash compensation package. - Get access to a self-development budget you can use to e.g. attend conferences, buy books or take classes. - Receive a new Apple MacBook Pro, as well as meaningful home office set-up. About Us Taktile enables financial institutions to transform into AI-native organizations that are increasingly powered by autonomous agents. With our modular Agentic Decision Platform, customers combine AI agents, rules, relevant context, and human oversight to safely automate and optimize their decisions—approving more customers, reimbursing claims instantly, stopping fraud before it spreads, and financing every business worth funding. Founded in 2020, Taktile powers millions of decisions daily for institutions including Mercury, Monzo, Faire, and Pleo. With offices in New York, Berlin, London, São Paulo, and Iași, the company has raised $184M from Growth Equity at Goldman Sachs Alternatives, Index Ventures, Tiger Global, Balderton Capital, and Y Combinator. Learn more at taktile.com http://taktile.com   About Your Employment. Taktile operates through regional entities worldwide. Depending on the location of this role, your employment or engagement will be with Taktile LLC (US), Taktile GmbH (Germany), Taktile Ltd (UK), or Taktile SRL (Romania). The applicable entity will be confirmed during the offer process. Your Privacy. Taktile (“we” or “us”) is the controller of the personal data you provide during this application process. We collect and process your name, contact details, resume/CV, work history, education, and any other information you submit or that we obtain from publicly available sources or references. How we use your data: We process your personal data to evaluate your candidacy, communicate with you about the recruitment process, comply with legal obligations (such as right-to-work verification), and, with your consent, to consider you for future opportunities. Legal basis (EU/UK applicants): We rely on (i) pre-contractual steps at your request (GDPR/UK GDPR Art.6(1)(b)), (ii) legal obligations (Art. 6(1)(c)), and (iii) our legitimate interest in evaluating candidates (Art.6(1)(f)). Retention: If your application is unsuccessful, we retain your data for 12 months after the recruitment process concludes, unless you consent to longer retention. Successful candidates’ data becomes part of their employment records. Your rights: Depending on your location, you may have the right to access, correct, delete, or restrict the processing of your personal data, to data portability, and to withdraw consent. Automated decision-making: We use automated tools to assist in screening applications. No hiring decision is made solely by automated means without human review. International transfers: Your data may be transferred to and processed in the United States, Germany, the United Kingdom, or Romania. Where required, transfers are protected by Standard Contractual Clauses or other approved mechanisms. By submitting your application, you acknowledge that you have read and understood Taktile’s Applicant Privacy Policy. To exercise your rights or ask questions, contact privacy@taktile.com

Location: Seattle, WA; San Francisco Bay Area Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ THE ROLE We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. As a Staff Software Engineer on the Cloud Sandboxes team, you’ll design and build the core systems that power Docker’s cloud agentic platform. Your work will focus on creating scalable, reliable, and secure infrastructure that enables developers to deploy and manage agentic workloads efficiently and with confidence. If you thrive on solving distributed systems challenges, enjoy working at the intersection of developer experience and cloud infrastructure, and want to help shape the future of Docker’s platform, we’d love to hear from you. _______________________________________________________________________ RESPONSIBILITIES - Design, implement, and operate core services that power Docker’s Cloud Sandboxes platform - Build scalable systems for microVM orchestration, workload scheduling, and lifecycle management - Develop high-performance APIs and control plane components for managing multi-tenant workloads - Ensure system reliability, observability, and performance across Docker’s Cloud Sandbox infrastructure - Collaborate with product, platform, and security teams to deliver customer-focused capabilities - Participate in architectural discussions, code reviews, and design documents - Contribute to automation and CI/CD improvements across the deployment pipeline - Debug and resolve production issues across distributed systems in cloud environments - Take part in on-call rotation for your team; respond to incidents, debug production issues, and drive continuous improvement of system reliability _______________________________________________________________________ QUALIFICATIONS REQUIRED - 10+ years of backend software engineering experience building large-scale cloud or distributed systems - Strong proficiency in Go and/or Java - Deep understanding of container orchestration, Kubernetes, and microservices architecture - Experience designing and operating highly available, secure, and observable production systems - Strong understanding of cloud infrastructure (AWS, Azure, or GCP) and related scalability patterns - Familiarity with CI/CD pipelines, monitoring, and infrastructure-as-code tooling - Excellent problem-solving and debugging skills in distributed environments - Strong communication skills and ability to collaborate across remote, cross-functional teams - Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience. PREFERRED - Experience contributing to cloud-scale compute platforms or container infrastructure products - Knowledge of service mesh, networking, or policy enforcement systems - Experience with observability stacks (Prometheus, OpenTelemetry, Grafana, etc.) - Familiarity with security best practices for multi-tenant cloud systems - Prior experience in developer infrastructure, cloud platforms, or hyperscale environments Visa sponsorship: Docker considers visa sponsorship on a case-by-case basis based on business needs. _______________________________________________________________________ COMPENSATION & EQUITY All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location. United States: $170,350 – $275,550 base ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

REMOTE RUSSIA Orion soft — российский разработчик ИТ-продуктов, в основу которых заложена концепция программно-определяемого ЦОД. Один из продуктов — StarVault, корпоративная система управления секретами и защитой доступа. Зона ответственности — админ-интерфейс продукта: авторизация, политики, secrets engines, PKI, MFA, хранилище и другие разделы. Задачи: — Запускать новые фичи в SPA: Ember Octane, Glimmer Components, routes и ember-engines; — Подключать backend: интегрировать REST API StarVault через Ember Data и services; — Собирать интерфейсы администрирования: формы, таблицы, wizards, PKI, snapshots, OIDC/MFA; — Поддерживать локализацию: дополнять ru/en через ember-i18n; — Укреплять качество: писать unit-, integration- и acceptance-тесты (QUnit, Mirage); — Вовлекаться в работу команды: ревью, синхронизация с backend, QA и дизайнерами. Требования: — От 3 лет коммерческой разработки; — Уверенный JavaScript (ES6+), опыт с Ember.js или готовность быстро в него войти; — Понимание SPA: routing, state, работа с REST API; — SCSS/CSS (BEM); — Git, code review, работа через MR в GitLab; — Английский на уровне чтения технической документации. Будет плюсом: — Опыт с React 17, TypeScript, Redux, Webpack; — Опыт с Ember Data, ember-concurrency, Handlebars; — Знания security/infra: Vault, OAuth/OIDC, MFA, PKI; — Опыт использования Docker для локального запуска.

Задачи: — Тестирование игровой логики казино-провайдеров (Spinomenal, Pragmatic Play, Hacksaw Gaming и др.). — Проверка игровых механик: RTP, volatility, session behavior, game rounds, session IDs, provider callbacks. — Тестирование бонусных систем: Free Spins, Bonus Money, Bonus Buy, wagering requirements (x20/x30), sticky / non-sticky бонусы, cashback-механики. — Проверка финансовой логики: PnL игрока и провайдера, балансы, бонусные средства, платежные сценарии. — Тестирование affiliate tracking: registrations, FTD, conversions. — Тестирование Frontend, Backend и End-to-End сценариев. — API testing через Postman. — Проверка UI/UX и соответствия дизайну (Pixel Perfect). — Создание тест-кейсов, чек-листов и баг-репортов. — Участие в регрессионном и релизном тестировании. Требования: — 1+ год коммерческого опыта Manual QA в iGaming / Online Casino. — Глубокое понимание игровой логики казино и player journey. — Опыт тестирования: RTP, volatility, session behavior; бонусной и финансовой логики; Free Spins, Bonus Money, Bonus Buy; wagering, sticky/non-sticky бонусов; cashback систем. — Понимание PnL игрока и провайдера. — Опыт тестирования веб-продуктов (Frontend, Backend, E2E). — Понимание лендингов, регистрационных форм и конверсионных сценариев. — Опыт тестирования интерфейсов на разных устройствах и разрешениях. — Навыки UI/UX тестирования и Pixel Perfect проверки. — Опыт работы с API и Postman. — Внимательность к деталям и аналитическое мышление. Будет плюсом: — Jira, GTM/Google Analytics. — SQL, DevTools, Charles Proxy. — Опыт автоматизации тестирования. — Опыт работы с платежными провайдерами и KYC.

Location: Colombia; Mexico; Argentina; Brazil; Costa Rica; Chile About Huzzle At Huzzle, we connect high-performing professionals with global companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries like SaaS, MarTech, FinTech, and EdTech. We match top talent to full-time remote roles where they’re hired directly into client teams and provided ongoing support by Huzzle. Role Type: Full-time Engagement: Independent Contractor About the Company Our client is an AI-powered digital validation platform serving pharmaceutical, biotechnology, and medical device organizations worldwide. Their technology helps life sciences teams dramatically reduce validation costs, automate complex workflows, and accelerate compliance processes through intelligent automation and AI-driven assurance solutions. As a rapidly growing scale-up company, they are building the next generation of digital validation tools that enable teams of all sizes to work more efficiently and deliver critical projects faster. Job Summary We are seeking a Junior Support Engineer to join a growing technical team supporting customers across the life sciences industry. This role is ideal for an early-career software engineer who enjoys debugging, problem-solving, and working directly with customers to resolve technical issues. As the first line of technical support, you will investigate customer-reported issues, diagnose bugs, implement fixes across the application stack, and communicate solutions clearly and professionally. You'll work with modern technologies including Next.js, React, Node.js, Supabase, and TypeScript while collaborating closely with product and engineering teams. This is an excellent opportunity for someone looking to grow their software engineering career while gaining hands-on experience in customer-facing technical support. Key Responsibilities Quickly learn and understand the company’s Next.js, React, Node.js, and Supabase application architecture. Investigate customer-reported issues and reproduce bugs across the platform. Use Cursor or similar AI-assisted development tools to trace errors, inspect code, and identify root causes. Write clean, maintainable TypeScript code to resolve bugs and improve application stability. Contribute fixes across both frontend and backend systems. Communicate technical solutions clearly through customer-facing emails. Help customers troubleshoot issues while maintaining professionalism and empathy during challenging situations. Collaborate with Product, QA, and Engineering teams to prioritize fixes and improve product reliability. Document common issues, solutions, and troubleshooting processes within internal knowledge bases. Assist with monitoring, testing, and continuous improvement initiatives. Requirements Basic experience with JavaScript and TypeScript development. Familiarity with modern web technologies including Next.js, React, Node.js, SQL databases, and Supabase. Strong debugging, troubleshooting, and problem-solving skills. Excellent written English communication skills with the ability to explain technical concepts clearly to customers. Comfortable communicating directly with customers and handling technical issues professionally and empathetically. Ability to work independently, take ownership of tasks, and manage priorities with minimal supervision. Strong attention to detail and a willingness to learn new technologies and tools quickly. Experience using AI-assisted development tools such as Cursor or similar IDE tools is advantageous. Previous customer support or technical support experience is preferred. Experience contributing to production applications or independently shipping software features is a plus. Understanding of software testing, troubleshooting methodologies, and root-cause analysis is beneficial. Successfully diagnose and resolve customer issues accurately and efficiently. Deliver high-quality bug fixes with minimal oversight while maintaining code quality standards. Communicate technical problems, resolutions, and next steps clearly to both customers and internal teams. Provide professional, calm, and customer-focused support, particularly during high-pressure situations. Contribute to internal documentation, runbooks, and knowledge bases to reduce recurring issues and improve team efficiency. Benefits 💻 Fully Remote: Work from anywhere with international teams 🤝 Peer Community: Connect with high-performing sales professionals in our network 🧭 Ongoing Support: Receive guidance from Huzzle before and after placement 💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals

Location: North Macedonia; Romania; Bulgaria; Slovakia; Slovenia; Bosnia and Herzegovina About Huzzle At Huzzle, we connect high-performing professionals with global companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries like SaaS, MarTech, FinTech, and EdTech. We match top talent to full-time remote roles where they’re hired directly into client teams and provided ongoing support by Huzzle. Role Type: Full-time Engagement: Independent Contractor About the Company Our client is a rapidly growing AI-powered validation technology company serving pharmaceutical, biotechnology, and medical device innovators globally. Their platform helps life sciences organizations dramatically reduce validation costs, accelerate compliance workflows, and streamline complex digital validation processes through intelligent automation and AI-driven assurance. As the company continues its growth journey, they are expanding their engineering team to support a growing international customer base. Job Summary We are seeking a Junior Support Engineer to join a fast-growing software company operating at the intersection of AI and life sciences. This role is ideal for an early-career software engineer who enjoys solving technical problems, debugging applications, and helping customers succeed. As the first line of technical support, you will investigate customer issues, troubleshoot application problems, implement fixes, and communicate solutions clearly to customers. You’ll work closely with Product, QA, and Engineering teams while gaining hands-on experience across modern web technologies including Next.js, React, Node.js, TypeScript, and Supabase. This is an excellent opportunity for someone looking to grow their software engineering career in a supportive startup environment. Key Responsibilities Quickly learn and understand the company’s Next.js, React, Node.js, and Supabase application architecture. Investigate customer-reported issues and reproduce bugs within the application. Use Cursor or similar AI-assisted development tools to inspect code, analyze call stacks, and identify root causes. Develop and deploy maintainable TypeScript fixes across both frontend and backend systems. Improve edge-case handling, application reliability, and performance. Write clear and customer-friendly email responses explaining technical issues and resolutions. Support customers professionally and calmly during high-pressure situations. Collaborate with Product, QA, and Engineering teams to prioritize urgent issues and releases. Contribute to internal documentation, knowledge bases, and support runbooks. Help improve monitoring, alerting, and recurring issue prevention processes. Requirements Experience with Next.js, React, Node.js, TypeScript, Supabase, SQL, and Cursor or similar AI-assisted development tools. Strong debugging, troubleshooting, and problem-solving abilities. Solid understanding of software engineering principles, coding best practices, and modern development workflows. Ability to work independently, manage priorities, and execute tasks with minimal supervision. Excellent written English communication skills with the ability to explain technical concepts clearly to customers. Customer-focused mindset with strong interpersonal skills and the ability to remain calm under pressure. Experience communicating directly with customers regarding technical issues is highly preferred. Experience building, shipping, or maintaining software applications independently is a plus. Exposure to SaaS products, technical support, or support engineering environments is advantageous. Familiarity with version control systems and collaborative software development practices. Interest in AI, healthcare technology, biotechnology, or life sciences industries is beneficial. Benefits 💻 Fully Remote: Work from anywhere with international teams 🤝 Peer Community: Connect with high-performing sales professionals in our network 🧭 Ongoing Support: Receive guidance from Huzzle before and after placement 💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals

Location: New York 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 Legal professionals spend most of their day in Microsoft Word: drafting, reviewing, and refining complex documents that shape meaningful outcomes. Harvey in Word brings AI-powered capabilities directly into Word, enabling lawyers to draft faster, run playbook reviews, and perform agentic editing, all without leaving their workflow. It's one of our most strategic product lines and a key part of how we meet lawyers where they already work. As a Staff Software Engineer on the Embedded Experiences team, you will own and lead the development of Harvey in Word, our Microsoft Office Add-in built on OfficeJS, alongside our other Microsoft Office integrations. You'll architect and ship features that integrate seamlessly with Word, handling the unique challenges of building performant, polished experiences within the Office Add-in environment. We're looking for someone with deep expertise in OfficeJS and Office Add-in development, ideally from building a similar product at scale. You'll join a team of highly motivated, skilled engineers who hold everything they touch to the highest standards, from architecture to code to user experience. You may also contribute to our Outlook integration and help build the next generation of agentic AI interfaces across the Microsoft suite. This role is based in New York, NY. We use a hybrid in-person work model and offer relocation assistance to new employees. WHAT YOU'LL DO - Own and lead the technical direction of Harvey in Word, our flagship Office Add-in product, alongside our other Microsoft Office integrations. - Build the AI-native editing experience: agentic document rewrites, real-time redlining, and playbook automation that transforms how lawyers work - Design and build sophisticated integrations with Microsoft Word using the OfficeJS API, including document manipulation, playbook reviews, and AI-assisted drafting - Architect scalable, maintainable solutions that handle the constraints and quirks of the Office Add-in environment across platforms (Windows, Mac, Web) - Build polished, high-performance interfaces with crisp interactions and resilient error handling - Collaborate with product, design, and backend teams to shape APIs and UX for AI-powered features like streaming results and tool-calling workflows - Navigate Office Add-in requirement sets, versioning, and cross-platform compatibility to ensure broad, reliable support - Contribute to Harvey in Outlook and shape the next generation of agentic AI interfaces across the Microsoft suite - Mentor engineers, drive technical decisions, and raise the bar on quality and developer experience WHAT YOU HAVE - 10+ years of software engineering experience, with significant depth in Office Add-in development using OfficeJS - Experience building and shipping a production Office Add-in product, ideally one used at enterprise scale - Strong proficiency in JavaScript/TypeScript, HTML, and CSS - Deep understanding of Office Add-in architecture, requirement sets, manifest configuration, and cross-platform considerations - Experience with React or similar modern frontend frameworks - Track record of shipping highly intuitive products with strong attention to detail - Familiarity with Microsoft Office Add-in guidelines and AppSource submission process is a plus NICE TO HAVE - Experience with Outlook Add-ins or other Microsoft 365 integrations (SharePoint, Teams) - Background in legal tech or enterprise SaaS - Experience building products that integrate with AI/LLM capabilities COMPENSATION RANGE $231,000 - $340,000 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-PF1 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

Location: San Francisco 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 Legal professionals spend most of their day in Microsoft Word: drafting, reviewing, and refining complex documents that shape meaningful outcomes. Harvey in Word brings AI-powered capabilities directly into Word, enabling lawyers to draft faster, run playbook reviews, and perform agentic editing, all without leaving their workflow. It's one of our most strategic product lines and a key part of how we meet lawyers where they already work. As a Staff Software Engineer on the Embedded Experiences team, you will own and lead the development of Harvey in Word, our Microsoft Office Add-in built on OfficeJS, alongside our other Microsoft Office integrations. You'll architect and ship features that integrate seamlessly with Word, handling the unique challenges of building performant, polished experiences within the Office Add-in environment. We're looking for someone with deep expertise in OfficeJS and Office Add-in development, ideally from building a similar product at scale. You'll join a team of highly motivated, skilled engineers who hold everything they touch to the highest standards, from architecture to code to user experience. You may also contribute to our Outlook integration and help build the next generation of agentic AI interfaces across the Microsoft suite. This role is based in San Francisco, CA. We use a hybrid in-person work model and offer relocation assistance to new employees. WHAT YOU'LL DO - Own and lead the technical direction of Harvey in Word, our flagship Office Add-in product, alongside our other Microsoft Office integrations. - Build the AI-native editing experience: agentic document rewrites, real-time redlining, and playbook automation that transforms how lawyers work - Design and build sophisticated integrations with Microsoft Word using the OfficeJS API, including document manipulation, playbook reviews, and AI-assisted drafting - Architect scalable, maintainable solutions that handle the constraints and quirks of the Office Add-in environment across platforms (Windows, Mac, Web) - Build polished, high-performance interfaces with crisp interactions and resilient error handling - Collaborate with product, design, and backend teams to shape APIs and UX for AI-powered features like streaming results and tool-calling workflows - Navigate Office Add-in requirement sets, versioning, and cross-platform compatibility to ensure broad, reliable support - Contribute to Harvey in Outlook and shape the next generation of agentic AI interfaces across the Microsoft suite - Mentor engineers, drive technical decisions, and raise the bar on quality and developer experience WHAT YOU HAVE - 10+ years of software engineering experience, with significant depth in Office Add-in development using OfficeJS - Experience building and shipping a production Office Add-in product, ideally one used at enterprise scale - Strong proficiency in JavaScript/TypeScript, HTML, and CSS - Deep understanding of Office Add-in architecture, requirement sets, manifest configuration, and cross-platform considerations - Experience with React or similar modern frontend frameworks - Track record of shipping highly intuitive products with strong attention to detail - Familiarity with Microsoft Office Add-in guidelines and AppSource submission process is a plus NICE TO HAVE - Experience with Outlook Add-ins or other Microsoft 365 integrations (SharePoint, Teams) - Background in legal tech or enterprise SaaS - Experience building products that integrate with AI/LLM capabilities COMPENSATION RANGE $231,000 - $340,000 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-PF1 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

О продукте: AI-продукт для автоматизации интервью кандидатов Задачи: — Построение QA процессов с нуля — Тестирование backend, API сценариев — Внедрение автотестов и контроль качества релизов — Поиск и устранение критических узких мест продукта Требования по вакансии: — 5+ лет в QA, опыт лидовства от 1.5 лет — Опыт построения QA процессов — Backend и API testing — Опыт автоматизации тестирования — Понимание CI/CD — Будет плюсом опыт с AI или SaaS Условия: — Удалённая работа, график GMT+3 ±2 часа — ДМС покрытие, оплата курсов, премии

Задачи: — Развитие функциональности интернет-банка и мобильного приложения для физических лиц — Повышение качества сервиса по направлению платежей и переводов Требования к кандидату: — Не ниже средне-специального образования — Опыт работы от 3-х лет (от 2-х лет, если эти 2 года работал с Angular) — Уверенные знания JavaScript — Опыт работы с современными js фреймворками: Angular, React, Vue — Знание ООП, классов, абстракций, шаблонов проектирования — Современная верстка HTML5 + CSS3 — Понимание REST, взаимодействие с backend (отправлять и получать json, отличать GET от POST) — Опыт работы с системами контроля версий — Работа в команде Технический стек: — SPA приложение на Angular 12+ — TypeScript, JavaScript ES6 Modules — SASS — Сборка через WebPack — Хранение в Git — Взаимодействие с WebApi (.net core 2) Будет плюсом: — Работа с npm, bower или любым пакетным менеджером — Опыт разработки backend — Знание C#, Java или другого языка со строгой типизацией — Знание препроцессоров SASS / LESS — Опыт работы с js сборщиками WebPack, Gulp, Grunt — Опыт работы с JIRA

Location: New York; San Francisco 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 a Software Engineer on the Product Engineering team at Harvey, you will own and lead engineering projects across our various product lines. You will work closely with our AI, Legal, and GTM teams to build secure systems that deliver value to our customers. We are looking for individuals who have worked across the stack on incredible products across consumer, enterprise, and various industries and who are excited about building the future of application layer and genAI products. WHAT YOU'LL DO - Scale document ingestion and processing that is growing at 10x every 6 months - Design massive data collection from over 50+ legal jurisdictions - Build government-level security for top governments and firms - Lead projects that delight customers in bringing AI to web, desktop, mobile, Google Docs, MS Word, and API experiences. - Build AI-platform and AI-native features like agentic orchestration layers, tool calls, and retrieval systems. - Ship across the full stack—leveraging React and TypeScript on the frontend alongside Python and Postgres on the backend—to architect intuitive UX and robust APIs for streaming results, long-running processes, and complex tool-calling workflows. WHAT YOU HAVE - 10+ years of experience (post-BS/MS) in a product focused full-stack software engineering role. - Experience with React, Typescript, CSS (we use TailwindCSS), Python, or related. - Track record of building fast-growing SaaS products. - Track record of shipping highly intuitive products, strong attention to detail. - Experience building scalable and extensible solutions across the stack that can support multiple product lines. - Strong programming skills and general Computer Science knowledge. - Grit - experience working at early-stage startups is a plus. COMPENSATION $231,000 - $340,000 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-PM1 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

Location: Berlin Workplace: OnSite ABOUT PEEC AI AI search is changing how brands are discovered and chosen. People now ask ChatGPT, Gemini, Claude and Google’s AI answers what they used to search for, and AI assistants increasingly shape the journey from discovery to purchase. Winning customers now means winning over the AI systems that influence their decisions. Peec AI is an AI search platform that helps marketing teams understand and improve how their brands are discovered, represented, and recommended. We show them where they stand, what’s shaping it, and where to act. Since launching in January 2025, Peec AI has passed $20M ARR and 4,000 paying customers. We’re a Series A company backed by 20VC and Singular, with 100+ people across our Berlin HQ and our New York office. WHAT YOU’LL DO - Train, test, and ship models that power Peec AI’s recommendations - helping customers boost their visibility in AI search - Develop algorithms that extract actionable insights from AI search behavior, creating data-driven recommendations that help brands increase their AI Search visibility - Own the full model lifecycle from experimentation to production deployment, working closely with engineering to integrate ML solutions into our systems - Design and implement data pipelines to ingest, process, and analyze large volumes of data WHAT WE’RE LOOKING FOR - Proven backend development skills in Python with experience building APIs, data pipelines, or ML infrastructure, and familiarity with tools like FastAPI, Docker, and cloud platforms (preferably GCP) - Deep curiosity about how LLMs work, with the ability to reverse-engineer AI search behavior and translate patterns into actionable product features - Track record of taking projects from research to production in a fast-moving startup environment, with strong problem-solving skills and comfort working with ambiguous, evolving problems - Excellent communication skills with the ability to explain complex technical concepts to customers and stakeholders OUR DATA SCIENCE STACK - Languages: Python, SQL - Libraries: Pandas, NumPy, HuggingFace, PyTorch, TensorFlow, ONNX - Backend: GCP, Cloud Functions, Firestore, Postgres, AlloyDB, BigQuery - AI Models: OpenAI, Claude, Perplexity, Gemini, Llama, etc. BONUS POINTS - Contributions to open-source projects - Deployed side/hobby projects that we can check out - Presented research papers at top ML or AI conferences - Having started a company before or worked at a high-growth startup - Fluency in Typescript WHAT WE OFFER - Exciting and challenging work with real impact and ownership at one of Europe’s fastest-growing Series A startups - Regular team events and off-sites - Aggressive equity compensation package - Paid Dinner & Uber home when working late - The most beautiful office space and work environment in Berlin

Location: Chișinău, Chișinău Municipality, Moldova About the Role Join Alvys, an early-stage company transforming the $800B US freight industry. As a Senior Full-Stack Engineer, you’ll build and operate key parts of our cloud-native SaaS platform—spanning backend services, frontend applications, and cross-cutting system components. You will own features end-to-end, partner closely with engineering, product, and design, and help advance both the technical foundations and user experience of our products. Industry Insight Transportation logistics is massive, fragmented, and still largely underserved by modern software. You’ll be helping define the future of how freight moves by contributing to automation, operational intelligence, and workflow modernization at scale. About Alvys Alvys is building a multi-tenant SaaS platform that powers modern transportation operations. We combine deep industry knowledge with strong technical execution to bring clarity, automation, and reliability to one of the world’s most essential industries. Our Principles Engineering Principles: Build for Real-World Impact — Our users rely on Alvys to solve real problems, not abstract ones. Every feature we ship is designed to reduce friction, increase efficiency, and drive tangible results for the people moving freight every day. Extreme Ownership and Empowerment — Ownership extends beyond building—it means being accountable for quality, reliability, and customer impact. If it's in production, it's yours—bugs, uptime, and results. Technology Debt is Strategic, Not Accidental — Technical debt is a strategic choice, not an oversight. We incur it deliberately when it unlocks speed, learning, or market advantage. Our architecture remains clean, maintainable, and scalable as we grow. Simplicity Scales; Complexity Costs — Logistics is inherently complex, but our technology shouldn't be. We prioritize simplicity in our architecture, leveraging modularity and well-defined service boundaries to reduce cognitive load. Radical Transparency — We democratize data and make it accessible across all functions to drive alignment and decision-making. Transparency also means feedback—we systematize constructive feedback loops to ensure growth. Engineering Culture: Move Fast, Learn Fast — Speed is our advantage, but we move fast intentionally. We bias for action, assume positive intent, and treat every mistake as a learning opportunity. Own the Outcome — Every engineer owns outcomes, not tickets. We take responsibility end-to-end—identifying problems, delivering solutions, and ensuring they last. Engineering-Led, Customer-Driven — Engineering leads by shaping technical strategy, but never in isolation. Designers, PMs, and Engineers share context and decisions, keeping customer outcomes at the center. Pragmatism Over Purism — Elegant code matters, but business impact matters more. We choose solutions that scale, are maintainable, and solve real customer problems—not theoretical ones. People Over Heroics — We don't reward burnout or always-on behavior. Sustainability is a feature, not a luxury. If someone needs to slow down, unplug, or take care of life outside work—that's expected. Tech Stack Backend: .NET/C#, CosmosDB, Cognitive Search, Azure Services Frontend: TypeScript, Angular, React, Dart/Flutter Infrastructure & Ops: Azure, Azure Monitor, App Insights, CI/CD through DevOps / GitHub Actions pipelines Integrations: Multiple third-party APIs and workflow systems Minimum Qualifications Fluent in English —spoken and written Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field. 5+ years of professional engineering experience across both frontend and backend development. Strong proficiency in at least one modern backend language (C#, Java/Kotlin, TypeScript/Node). Proficiency in at least one modern frontend framework (React, Angular, or Vue). Experience with relational and NoSQL databases in production environments. Experience with at least one major cloud provider (Azure, AWS, or GCP). Ability to collaborate effectively with designers, product managers, and cross-functional partners. Preferred Qualifications Experience building large-scale, high-traffic systems. Experience leading or mentoring other engineers. Experience with C#/.NET or Angular is a plus. Experience developing responsive, data-rich interfaces. Experience contributing to or maintaining design systems. Familiarity with CI/CD tooling such as Azure DevOps. Background in logistics or transportation is a bonus. Responsibilities Build, own, and operate full-stack features from design through deployment. Develop robust backend services and intuitive, high-quality UIs for web and native applications. Work closely with design and product to deliver consistent, user-centric experiences. Improve engineering patterns, reliability, performance, and developer experience across the stack. Provide mentorship and guidance to peers across frontend and backend disciplines. Advocate for engineering excellence, maintainability, and scalability in all areas of the product. We offer: Official and competitive salary in USA$; Private medical insurance; Hybrid/Remote work model; Regular revisions of remuneration package; Budget for Sports and Learning and Development Work in an international environment within a professional in-house team of engineers; Chisinau city center location; Corporate and team building events for employees.

Location: New York, NY (HQ); San Francisco, CA Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE The Financial Intelligence team, part of Ramp's Applied AI org, powers the agentic analysis, FP&A, and book-close experiences that over 70,000 businesses rely on to run their finances. We turn messy financial data into a fast, trustworthy, governed data layer that AI agents can work with and build artifacts on top of. This is a frontend-leaning role for an engineer who obsesses over interaction design and data-dense UX, but is just as comfortable designing the API that feeds it. You'll own the surfaces customers actually touch: agentic financial analysis, month-end close, and exploratory data experiences that feel as polished as the best business intelligence tools. If you want your frontend work to sit at the center of real production LLM systems rather than being bolted on at the end, this is the role. WHAT YOU’LL DO - Design and ship customer-facing AI experiences end to end, from React UI through to the APIs and data contracts behind them - Build BI-tool-quality interfaces for agentic analysis, FP&A, and book-close workflows: fast, dense, interactive, and trustworthy - Own complex client-side state and rendering challenges across data-heavy, real-time, agent-driven surfaces - Partner on API and backend design so the full stack serves the product, not the other way around - Use the latest coding models and agentic workflows as a core part of how you ship every day WHAT YOU NEED - Deep frontend expertise: TypeScript, React, and sophisticated state management in complex, data-intensive applications - Fluency with the latest AI coding models and agentic development workflows. This is how the team works, and we expect you to be excellent at it - Comfort working across the stack, including API design and backend systems, even with frontend as your center of gravity - A track record of shipping polished, production-grade product experiences and owning them through ambiguity - Bonus: experience with BI tools, data visualization, or financial/analytics products BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: Cardiff, London or Remote (UK) 🚀 We’re on a mission to make money work for everyone. We’re waving goodbye to the complicated and confusing ways of traditional banking. After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as personal and business bank accounts, we offer joint accounts , accounts for 16-17 year olds , a free kids account and credit cards in the UK, with more exciting things to come beyond. Our UK customers can also save , invest and combine their pensions with us. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We’re not about selling products - we want to solve problems and change lives through Monzo ❤️ 📍London/Cardiff/UK Remote | 💰 £138,000 to £176,000 + Incentive Awards tied to your performance + benefits | Hear from the team ✨ About the role Borrowing is one of Monzo’s most important growth engines. We’ve built strong scale in the UK, and the next phase is even more ambitious: grow in the UK, expand into new customer segments, and build the underwriting capability needed to scale into Europe. We’re looking for a senior ML leader to help shape that next phase. You’ll lead a high-calibre team of ML scientists and help define Borrowing’s ML roadmap across UK growth, new customer segments, and EU expansion. You’ll work across underwriting, pricing, limits, and lifecycle decisioning — improving today’s models while helping build the next generation of capability for Monzo. This role combines near-term commercial impact with long-term strategic advantage : improving performance across our range of products unlocking new data and faster model development helping Monzo build underwriting that scales into new markets shaping how advanced ML and AI can create real value in Borrowing You’ll partner closely with leaders across Credit Strategy, Product, Engineering, Model Validation, Data, and Platform, and influence decisions that shape both business performance and the long-term architecture of credit decisioning at Monzo. What you’ll own Borrowing ML roadmaps across UK optimisation, new customer segments, and EU expansion Faster model improvement through new data and feature engineering How Monzo uses Open Banking, transaction intelligence, and external data in credit decisioning More portable underwriting capabilities across products, customer segments, and markets Hiring, leading, and developing a high-performing ML team Raising the bar on model quality, governance, tooling, and speed of iteration What you’ll be working on Examples of the challenges you could help lead: Improving underwriting models across Loans, Flex, and Overdrafts Expand the data we use in our models Building better feature engineering and model shipping capability Improving transaction intelligence for credit use cases Developing underwriting capabilities for new customer segments and EU markets Shaping Monzo’s approach to advanced ML and AI Our technology stack We rely heavily on the following tools and technologies, although we do not expect applicants to have prior experience of all of them: Google Cloud Platform BigQuery SQL and dbt Python and the PyData stack Google AI Platform AWS Python for ML services Go for backend services AI tooling for productivity Google Workspace including Gemini ChatGPT Enterprise Claude Code You should apply if You want to shape the next phase of credit decisioning at one of Europe’s most ambitious fintechs You enjoy combining strategic leadership with strong technical judgment You’re excited by the intersection of underwriting, data, product, and platform capability You like building teams as much as building models You care about real customer and business impact You must have Credit and machine learning Strong knowledge of machine learning, statistics, and decisioning systems Deep experience in credit risk and lending Experience building, deploying, and iterating credit models in production Experience pushing the innovation frontiers of the credit industry Leadership and delivery Experience leading and developing senior ML scientists Strong cross-functional leadership with Product, Credit Strategy, Engineering, and Validation Track record of turning strategy into practical delivery in a regulated environment It would be great if you also have Experience across more than one market Experience with advanced ML methods and AI on structured financial data The interview process 30 min Recruiter Call 45 min Initial Call 60 min ML technical interview 60 min People Leadership interview 60 min Product / Credit ML interview All interviews will be conducted through Google Meet. What’s in it for you 💰 £138,000 to £176,000 ➕ plus stock options & benefits ✈️ We can help you relocate to the UK ✅ We can sponsor visas 📍This role can be based in our London office with a hybrid working pattern, or fully remote within the UK with occasional travel to London. 🏡 We’ll set you up to work from home, including support for remote setups. ⏰ We offer flexible working hours and trust you to work in a way that lets you do your best work. 📚 Learning budget for books, training courses and conferences ➕ And much more — see our full list of benefits here #LI-DC2  #LI-Remote Equal opportunities for everyone Diversity and inclusion are a priority for us and we’re making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we’re embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our blog , 2026 Diversity and Inclusion Report and 2025 Gender Pay Gap Report. We’re an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status. If you have a preferred name, please use it to apply. We don't need full or birth names at application stage 😊

Location: Singapore Our mission Constructor’s mission is to enable all educational organisations to provide high-quality digital education to 10x people with 10x efficiency. With strong expertise in machine intelligence and data science, Constructor’s all-in-one platform for education and research addresses today’s pressing educational challenges: access inequality, tech clutter, and low engagement of students. Please send your resume in English only. Brief Job Description: Builds and maintains the infrastructure and tooling that keeps machine learning systems reliable in production — from designing CI/CD pipelines and model deployment workflows to monitoring performance and managing model lifecycle at scale. The role works closely with ML, backend, and platform teams, contributes to automation frameworks and observability standards, and helps ensure AI models move seamlessly from experimentation to production. Requires 5+ years of MLOps or DevOps engineering experience, with a track record of operating robust ML infrastructure in production-grade environments. Mission: Make the path from model experiment to reliable production as fast, automated, and observable as possible. Education: Bachelor’s degree or higher in Computer Science, Engineering, or a related field — or equivalent practical experience. Duties and Responsibilities: Design and maintain CI/CD pipelines for ML models and services. Build and operate model deployment, serving, and rollback workflows. Implement monitoring, observability, and alerting for models in production. Manage the model lifecycle with MLflow: experiment tracking, versioning, registries, and reproducibility. Automate infrastructure and partner with ML and platform teams on standards. Qualifications & Experience: 5+ years of MLOps or DevOps engineering experience. Strong with containers and orchestration (Docker, Kubernetes). Experience with CI/CD (GitLab CI) and infrastructure-as-code (Terraform or similar). Hands-on with a major cloud platform (Azure, AWS, or GCP). Hands-on experience with MLflow for experiment tracking and model registry. Familiarity with ML frameworks (PyTorch), workflow orchestration (Kubeflow or similar), and monitoring stacks. Nice to Have (Not Obligatory): Experience serving LLMs or large models in production. Knowledge of feature stores and data pipeline tooling. Cost and latency optimisation for model serving. What We Offer 💻 Choice of work equipment (e.g., laptop, monitor, etc.) 🇬🇧 English classes (iTalki – $130 monthly) ⏰ Flexible schedule (we usually work between 09:00/10:00 and 18:00/19:00) 👶 Newborn bonus (€500 per child) 🧠 Patent remuneration 🌴 Paid leave 🧑‍💻 Remote work in locations without our offices Hybrid work in locations with offices (2 days in-office, 3 days remote) Constructor fosters equal opportunity for people of all backgrounds and identities. We are led by a gender-balanced board committed to building a diverse and inclusive organisation where everyone can become their best self. We do not discriminate based on age, disability, gender identity, sexual orientation, ethnicity, race, religion or belief, parental and family status, or other protected characteristics. We welcome applications from women, men and non-binary candidates of all ethnicities and socio-economic backgrounds. We encourage people belonging to underrepresented groups to apply.

Location: Hong Kong, Hong Kong SAR OKX will be prioritising applicants who have a current right to work in Hong Kong, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About The Opportunity You will have the opportunity to join a team responsible for designing the industry's leading Crypto trading system, including Spot, Margin, Perpetuals, Futures, Options, and various risk control models such as simple account, single-currency margin, multi-currency margin, and portfolio margin. This system supports daily trading volumes of over ten billion USD for both retail and institutional clients. What You’ll Be Doing The plumbing of the exchange. Order management, matching, margin, risk engine, lending/borrowing — across both spot and derivatives. When you ship, millions of trades route through your work the same day. Infrastructure that holds up where others can't operate. You'll work directly with Legal, Compliance, and local market teams — not to check boxes, but to design systems that clear the highest regulatory bar in finance. That bar is our moat. Outlearning the competition. Talk to traders, take apart competing systems, and decide where we lead vs. fast-follow — across crypto and TradFi. The instruments that show us the market first. Build the data and monitoring layer that gives us situational awareness of our own stack and the broader industry. If something's drifting, breaking, or shifting — you know before anyone else. The 3–12 month direction. Decide what we build next, and when, based on product lifecycle, competitive landscape, and what our capacity actually is — not what makes the deck look good. Shipping through. From spec to launch, you're the person who gets it out the door — pulling engineering, design, ops, and marketing into alignment without becoming the bottleneck. The AI harness and agent architecture for your domain. Design and ship multi-step agent workflows — tool use, retrieval, evaluation, human-in-the-loop checkpoints — that power how Core Trading operates. Spec agents the way you spec products. What We Look For In You Bachelor's degree or above in mathematics, physics or computer science major. 5+ years experience in building sophisticated backend systems in either crypto or Traditional Finance industry. AI native skillset that allow you to ship at 10x because you automate the work flow first. Possess rigorous logical thinking, excellent teamwork, communication skills and be able to coordinate resources to solve problems and achieve goals between different departments. You possess a strong interest in trading, blockchain and the financial industry. You are proactive, enthusiastic and sensitive to customers' feedback from a product lens. Fluent in English and Mandarin (to communicate with Mandarin speaking clients / cross-teams). Nice-To-Haves Trading experience in sophisticated institutions. Excel in quantitative research with various mathematics tools. Perks & Benefits Competitive total compensation package L&D programs and education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Please note that Hong Kong is a group-level service hub, and OKX does not carry on a business of operating a virtual asset trading platform in Hong Kong. Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .