Вакансии

Location: Montevideo, Uruguay; Remote.AR, Remote.LATAM-country; Remote.BR, Brazil; Remote.CO, Colombia; Rosario, Remote.LATAM-country We are looking for an experienced Senior Developer who combines strong React frontend skills with robust Python/Django backend expertise. This role offers the opportunity to work on cutting-edge solutions that are transforming the real estate technology sector. The ideal candidate will help build and optimize full-stack applications that enhance the apartment leasing experience for property managers and renters alike. Our client values proactive team members who are eager to dive deep into the multifamily real estate domain, understand the unique challenges of property management, and actively contribute to solving complex business problems. You’ll be expected to go beyond just coding to truly understand the client’s field, engage with their business challenges, and take ownership of delivering solutions that make a real impact. DataArt is seeking a talented Senior Full-Stack Developer with strong React and Python expertise to join our team for an exciting project with our client, a leading proptech company that is revolutionizing the apartment rental process through innovative technology solutions. Our client provides AI-powered leasing automation, renter communication tools, and operational intelligence for multifamily property management companies. They are at the forefront of digital transformation in real estate, helping property managers streamline operations, enhance renter experiences, and make data-driven decisions through cutting-edge technology that automates routine tasks and provides actionable insights. Design responsive and user friendly web applications using React.js and modern JavaScript Build and maintain backend services using Python and Django Create reusable React components and implement state management solutions Develop and optimize RESTful APIs and microservices architecture Ensure integration between frontend and backend systems Collaborate with UX UI designers to implement accessible interfaces Optimize application performance for fast load times and smooth user interactions Identify opportunities for product improvement and innovation Analyze the property management domain to understand user needs and pain points Ensure code quality, performance, and security practices across the full stack 5 plus years of professional experience in full-stack development Experience with React.js, including hooks, Context API, and modern React patterns Proficiency in JavaScript, TypeScript, HTML5, CSS3, and responsive design Experience with Python and Django for backend development Experience with state management libraries such as Redux, MobX, or Context API Understanding of RESTful service architecture and API design Experience with frontend build tools such as Webpack, Vite, or similar tools Familiarity with frontend testing frameworks such as Jest and React Testing Library Experience with Git and CI CD pipelines Ability to solve technical problems with attention to detail Ability to understand business context and domain specifics Communication skills for working in a distributed team environment English proficiency at B2 level or higher Experience with LLM API providers such as OpenAI and Anthropic Knowledge of LangSmith or similar AI ML observability tools Experience in the PropTech or Real Estate industry Knowledge of cloud platforms such as AWS, Azure, or GCP Experience with containerization using Docker and Kubernetes Familiarity with GraphQL Experience with Next.js or other React frameworks Knowledge of UI UX design principles and tools such as Figma and Sketch Experience working with stakeholders to gather requirements and translate them into technical solutions

Location: Yerevan, Armenia We are looking for a Middle .Net Developer to support the design and delivery of distributed backend solutions for a Banking App. In this role, you will work with modern .NET technologies, architectural patterns, databases, integration mechanisms, and DevOps practices in an onsite setup in Armenia. The Banking App is a financial domain project delivered from the client's office in Armenia. It is centered on developing reliable and scalable .NET based solutions with a strong focus on architecture, integration, performance, and operational quality. Develop backend solutions using the .NET ecosystem Design software architecture using Clean Architecture and microservices principles Apply design patterns and SOLID principles in implementation decisions Build and support distributed systems for scalable application workflows Optimize SQL queries and database performance Design database structures with a focus on efficiency and maintainability Implement system integration patterns using REST and messaging Collaborate on software quality and testing strategy execution Improve application performance and scalability mechanisms Work with containerization technologies including Docker and Kubernetes Support CI/CD environments and DevOps processes Integrate message brokers such as RabbitMQ and Kafka into backend workflows Implement observability practices through logging and monitoring Contribute to the design and implementation of AI powered systems Work from the client's office in Armenia as part of project delivery Experience as a Middle .Net Developer English language proficiency Knowledge of software architecture including Clean Architecture and microservices Knowledge of design patterns and SOLID principles Understanding of distributed systems Knowledge of performance and scalability mechanisms Knowledge of database design and optimization Knowledge of system integration patterns including REST and messaging Knowledge of software quality and testing strategies Advanced knowledge of the .NET ecosystem SQL and database performance optimization skills Knowledge of containerization technologies including Docker and Kubernetes Knowledge of DevOps processes Knowledge of message brokers including RabbitMQ and Kafka Knowledge of observability practices including logging and monitoring Practical knowledge of microservices architecture Knowledge of algorithms and software performance optimization Up to date knowledge of designing and implementing AI powered systems Knowledge of CI/CD environments and DevOps processes Ability to work from the client's office in Armenia

Задачи: — Проведение функционального, интеграционного, UI-/UX-тестирования на территории заказчика. — Анализ технической документации на предмет соответствия стандартам. — Разработка матрицы трассировки требований. — Составление тестовой документации: тест-кейсы, тест-планы, чек-листы. — Разработка и актуализация методик и стратегий тестирования. — Тестирование backend. — Локализация дефектов. — Помощь в подготовке и проведении приемо-сдаточных испытаний. Требования: — Опыт функционального тестирования веб-приложений от 1,5 лет. — Знание тест-дизайна: разработка чек-листов, тест-кейсов, баг-репортов и т.д. — Опыт тестирования REST API через Postman или Swagger, умение анализировать структуру JSON. — Базовые навыки работы с SQL: SELECT, JOIN, GROUP BY, проверка данных в базе. — Уверенное использование Git (clone, branch, commit), DevTools (Network, Console, Elements) и инструментов перехвата трафика. — Опыт работы с Linux и терминалом. — Понимание сетевых протоколов: HTTP/HTTPS (методы, коды ответа, заголовки, cookies). — Знание жизненного цикла ПО (SDLC) и баг-трекинговых систем (Jira, YouTrack, Redmine). — Опыт работы в Agile/Scrum. Условия: — Официальное оформление и стабильный прозрачный доход. — Офисный формат работы: 1 неделя в офисе компании на м. Марьина Роща, 1 неделя в офисе заказчика на м. Фрунзенская. — График работы: 2/2 (дневная или ночная смена). — Обучение: корпоративный университет, электронная библиотека, вебинары с внешними и внутренними экспертами, центр карьерного консультирования. — Сообщества: школа спикеров, дебат клуб, писатели Хабр, киберспорт. — Спорт: футбольный, волейбольный и баскетбольный клубы. — Здоровье: ДМС, включая стоматологию и страхование родственников, сервис «Просебя» (психологические и юридические консультации). — События для детей сотрудников: праздники и профориентационные игры, образовательные курсы. — Партнерские программы и скидки для сотрудников: в магазинах-партнерах, фитнес-клубах, на образовательных платформах, на досуговые мероприятия.

Location: Mississauga, Ontario Workplace: hybrid At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare.   With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work.    At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey.   Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn.     **Travel to Office expectations** For Remote Roles: If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings.   For Hybrid Roles: If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role. About the role:   You will join a high-impact team transforming healthcare through technology. Our platform  connects fragmented clinical systems to enable real-time care coordination across  thousands of healthcare facilities, serving millions of users. You will design and build  scalable platform services, leveraging modern AI-augmented engineering practices to  accelerate delivery, improve reliability, and enhance clinical and operational outcomes   What your day-to-day will look like:           • Build robust platform services supporting clinical operations          • Partner with product and clinical teams to understand and solve real workflow             challenges         • Drive architectural decisions for business platform services         • Own the reliability and performance of critical healthcare solutions         • Mentor team members on modern engineering practices   What qualifications we’re looking for:   Required Technical Experience           •Strong track record building and shipping production software in modern languages            (Java, Python, or similar)          • Deep understanding of cloud-native architecture and distributed systems design             patterns          • Expertise in design, optimization, and scaling for relational (SQL) database             systems, bonus points for NoSQL database systems                         • Experience designing and implementing RESTful APIs and microservices          • Proficiency with test-driven development, automated testing, and maintaining high             code quality          • Hands-on experience with modern frontend frameworks, primarily React          • Working knowledge of CI/CD pipelines and infrastructure-as-code practices          • Experience with production observability, monitoring, and performance             optimization tools   Modern Engineering Practices         • Comfortable using AI-augmented development tools (e.g., GitHub Copilot, Claude             Code) as part of your workflow          • Experience applying AI tools throughout the development lifecycle from             requirements analysis, documentation to incident response         • Strong code review skills demonstrated through giving and receiving constructive             feedback          • Experience with Git workflows and collaborative development practices          • Ability to balance feature delivery with system reliability and technical excellence          • Comfortable with on-call responsibilities and incident response  What Would Make You Stand Out         • Experience building and scaling SaaS platforms         • Track record of mentoring engineers or leading technical initiatives         • Background with Spring Boot and Java ecosystem         • Experience with Azure cloud services and Kubernetes (AKS)         • Experience in healthcare technology or regulated industries         • Understanding of HIPAA compliance and handling sensitive data   Our Stack         • Front-End: React, Micro-Frontends, Material-UI         • Backend: Java, Spring Boot         • Data: PostgreSQL, MSSQL, Redis         • CI/CD: GitHub Actions, Jenkins         • Infrastructure: Azure, AKS, Terraform         • AI Tooling: Claude Code, Copilo     #LI-AJ1 #LI-Hybrid PointClickCare Benefits & Perks:   Benefits starting from Day 1! Retirement Plan Matching Flexible Paid Time Off Wellness Support Programs and Resources Parental & Caregiver Leaves Fertility & Adoption Support Continuous Development Support Program Employee Assistance Program Allyship and Inclusion Communities Employee Recognition … and more!   It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact recruitment@pointclickcare.com should you require any accommodations. As part of our commitment to a streamlined and equitable hiring experience, PointClickCare uses AI tools to assist with candidate screening and assessment.   When you apply for a position, your information is processed and stored with Lever, in accordance with Lever’s Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it.  If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: recruitment@pointclickcare.com    PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information. At PointClickCare, base salary is one of the many components that make up our total rewards package. The CAD base salary range for this position is $130,100-162,600+ bonus + equity + benefits. Our salary ranges are determined by job and level. The range displayed on each job posting reflects the target for new hire salaries for the position across all CAD locations. Within the range, individual compensation is determined by job-related skills and knowledge, relevant experience including professional and lived experience, and/or work location. Your recruiter can share more information about our total rewards package during the hiring process.

Location: Mississauga, Ontario Workplace: hybrid At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare.   With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work.    At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey.   Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn.     **Travel to Office expectations** For Remote Roles: If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings.   For Hybrid Roles: If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role. About the role:   You will join a high-impact team transforming healthcare through technology. Our platform  connects fragmented clinical systems to enable real-time care coordination across  thousands of healthcare facilities, serving millions of users. You will design and build  scalable platform services, leveraging modern AI-augmented engineering practices to  accelerate delivery, improve reliability, and enhance clinical and operational outcomes   What your day-to-day will look like:           • Build robust platform services supporting clinical operations          • Partner with product and clinical teams to understand and solve real workflow             challenges         • Drive architectural decisions for business platform services         • Own the reliability and performance of critical healthcare solutions         • Mentor team members on modern engineering practices   What qualifications we’re looking for:   Required Technical Experience           •Strong track record building and shipping production software in modern languages            (Java, Python, or similar)          • Deep understanding of cloud-native architecture and distributed systems design             patterns          • Expertise in design, optimization, and scaling for relational (SQL) database             systems, bonus points for NoSQL database systems                         • Experience designing and implementing RESTful APIs and microservices          • Proficiency with test-driven development, automated testing, and maintaining high             code quality          • Hands-on experience with modern frontend frameworks, primarily React          • Working knowledge of CI/CD pipelines and infrastructure-as-code practices          • Experience with production observability, monitoring, and performance             optimization tools   Modern Engineering Practices         • Comfortable using AI-augmented development tools (e.g., GitHub Copilot, Claude             Code) as part of your workflow          • Experience applying AI tools throughout the development lifecycle from             requirements analysis, documentation to incident response         • Strong code review skills demonstrated through giving and receiving constructive             feedback          • Experience with Git workflows and collaborative development practices          • Ability to balance feature delivery with system reliability and technical excellence          • Comfortable with on-call responsibilities and incident response  What Would Make You Stand Out         • Experience building and scaling SaaS platforms         • Track record of mentoring engineers or leading technical initiatives         • Background with Spring Boot and Java ecosystem         • Experience with Azure cloud services and Kubernetes (AKS)         • Experience in healthcare technology or regulated industries         • Understanding of HIPAA compliance and handling sensitive data   Our Stack         • Front-End: React, Micro-Frontends, Material-UI         • Backend: Java, Spring Boot         • Data: PostgreSQL, MSSQL, Redis         • CI/CD: GitHub Actions, Jenkins         • Infrastructure: Azure, AKS, Terraform         • AI Tooling: Claude Code, Copilo     #LI-AJ1 #LI-Hybrid PointClickCare Benefits & Perks:   Benefits starting from Day 1! Retirement Plan Matching Flexible Paid Time Off Wellness Support Programs and Resources Parental & Caregiver Leaves Fertility & Adoption Support Continuous Development Support Program Employee Assistance Program Allyship and Inclusion Communities Employee Recognition … and more!   It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact recruitment@pointclickcare.com should you require any accommodations. As part of our commitment to a streamlined and equitable hiring experience, PointClickCare uses AI tools to assist with candidate screening and assessment.   When you apply for a position, your information is processed and stored with Lever, in accordance with Lever’s Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it.  If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: recruitment@pointclickcare.com    PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information. At PointClickCare, base salary is one of the many components that make up our total rewards package. The CAD base salary range for this position is $142,700-178,400+ bonus + equity + benefits. Our salary ranges are determined by job and level. The range displayed on each job posting reflects the target for new hire salaries for the position across all CAD locations. Within the range, individual compensation is determined by job-related skills and knowledge, relevant experience including professional and lived experience, and/or work location. Your recruiter can share more information about our total rewards package during the hiring process.

Location: Canada What The Role Is We're hiring a Staff MLE for the Discovery team to own recommendations and personalization across Babylist's consumer experience — the homepage feed, product recs, search, and the ML-powered systems that make registry building feel effortless. Babylist was built on editorial recommendations: products chosen by people with deep baby gear expertise. That editorial foundation is a big part of why millions of families trust us. We're now building ML-powered personalization on top of it, using one of the richest first-party datasets in parenting. We're early in this work, and we have a real mandate. A small Discovery team has initial retrieval and reranking models live on parts of the site and a steady cadence of A/B tests. We are looking for a Staff MLE who has seen personalization done well at scale and can set the technical direction for where we go next. Registry building is the heart of the Babylist product. Every parent builds a list of dozens of products, from swaddle to stroller, with real stakes (a friend or family member is going to buy these things, and a baby is going to use them). As a universal registry, this registry also typically spans many retailers. This makes registry building on Babylist one of the most interesting personalization problems in consumer e-commerce: latent intent, life-stage progression, multi-stakeholder gift dynamics, deep declarative signal in millions of completed registries, cross-retailer datapoints, and a user who genuinely wants help. If you want to join a mature ML org and tune models at the margins, this isn't the right role. If you've worked inside a strong recommendations team, learned what good looks like, and want to build from zero-to-one at a company earlier in the journey, read on. What You'll Own You'll be the technical lead for personalization on the Discovery team, working alongside a PM, Engineering Manager, Senior MLE and fullstack software engineers. You set where our models go over the next year or two, sequence the bets that get there, and stay deep in building. A few examples of the problems you’ll get to shape: Product recommendations across every surface. Product detail pages, add-next recommendations after someone adds to their registry, vibes/aesthetic representations of products and the shared models underneath them. Personalizing the Feed. Deciding which products, editorial content and social content each family sees, and in what order. Personalizing search. Bringing what we know about a family into search results, and helping decide how much search should share retrieval and ranking with recommendations. Making Addie (our AI registry assistant) better at recs. Working with the team behind Addie so its product suggestions draw on the same models and signals as the rest of the site. In practice, you will: Take a fuzzy business problem from first sketch to production model, and own whether it moved the metric. Make the modeling and architecture calls that span surfaces and are expensive to reverse. Design the evaluation, offline and online, that tells us a model is good before and after it ships. Know when a rule or a simple baseline is the right first step, and when it's time to pursue more advanced approaches. Partner with product, design and data to help shape what's worth building. Coach engineers on the team, and more broadly be an ML expert and resource to the wider engineering org. Who You Are You’ve shipped recommendation and/or personalization systems that reached real users at scale within a consumer product, and can point to the business impact of your work. You’ve done this within a team that did ML well — you know what good looks like, and are motivated to bring that to a company earlier in their ML journey. You bring: Expertise in recommender fundamentals: for example, candidate generation vs. ranking, offline vs. online evaluation, cold start solutions, and handling position and popularity bias. Fluency in the Python ML stack and comfort owning models through deployment and monitoring, including contributions to our application backend. An ability to take an ambiguous problem and start moving before anyone hands you the full picture. A builder's instinct for early-stage ML. You understand effort vs. effectiveness tradeoffs and can advocate for when a rule beats a model, or a model is “good enough” for early learnings. An outcome and user focused mindset. You measure yourself by business impact, and you can connect a model change to user experience & registry adds, conversion or revenue. AI-native daily practice. You're already using AI to move faster and improve your output, and you stay curious about what's coming next. Compensation We post real numbers. For a Canada-based Staff Engineer, the starting base salary range is 299,300 to 372,600 CAD plus a target annual bonus of 20 percent of base. That's total target cash of roughly 359,160 to 447,120 CAD. On top of that you get meaningful equity and a 401(k) match. Where you start in that range depends on your experience, and your pay grows from there with performance and scope. How We Build AI is the default here. Engineers run agentic sessions for most of the work, and a lot of the interesting engineering now lives in the scaffolding that makes the agents good: the eval harnesses, the curated context, custom review skills and fast CI. Agents also triage incidents and handle a big share of support. A human always owns the outcome. The architecture is intentionally simple: one Rails monolith, MySQL and few moving parts. That's deliberate. Simple infrastructure lets us move fast and lets AI reason about the whole system, so the hardest problems are the ones in front of customers. The Stack Core app: Rails, Packwerk, React, TypeScript, Sidekiq Mobile: iOS (Swift), Android (Kotlin) Data, search & events: MySQL, Snowflake, dbt, Airflow, Weaviate, WarpStream, Hex, Sigma Machine learning: deep learning, matrix factorization, retrieval & ranking, AWS SageMaker, MLflow AI & dev tooling: Claude Code, Devin, Linear, CodeRabbit, Warden, LangChain, Bedrock AgentCore, Maxim Infra & ops: AWS, Kubernetes, Terraform, GitHub Actions, Datadog, incident.io, LaunchDarkly Key integrations: Shopify (payments), Iterable (CRM) Why Babylist An engineer, expecting her first baby, couldn't find the registry she wanted. So she built it. That's how Babylist started, and it's still how we work: engineers solving problems for families. Becoming a parent is one of the biggest moments in a person's life. Millions reach it for the first time every year, making thousands of decisions and figuring it out as they go. That's who we build for, and we're a long way from done. Ten million people give gifts through Babylist every year. We did more than $750M in revenue in 2025, up 45 percent over the year before, and we've been profitable for eight years while staying independent. So you can take on a hard, multi-year problem without watching over your shoulder for the next round or the next correction. And the team is small, around 65 engineers, so what you ship stays visible and your scope stays wide. How We Work Remote-first across the US and Canada, and we have been for years. That's not changing. We trust you to own your time and your outcomes, and we get everyone in a room together twice a year. Teams are small, pods of three to five engineers, so nothing you ship disappears into a committee. You'll work shoulder to shoulder with product, design and data, and with the partners across the business who rely on what you ship. You'll also stay close to customers yourself: sitting in on user interviews, watching session recordings, riding along with support. Here that's part of the engineering job, on a regular basis. How We Hire Three rounds, usually two to three weeks start to finish. Recruiter conversation (30 minutes). Trade context: what you want next, what we're building and straight answers on comp, team and remote. Technical screen (1 hour). One round, no AI, language-agnostic. Reach for Google when you normally would. We just want to see how you reason from first principles. Final round (4 hours). Four one-hour interviews: system design, AI-assisted coding with the tools you'd actually use here, product sense and culture and values. You'll hear back either way within 24 to 48 hours. If your timeline is tight, tell us and we'll move faster. Benefits Company-paid medical and fully covered dental and vision A 401(k) match Generous paid parental leave for birthing and non-birthing parents, plus a gradual return-to-work program Winter Wonder Week, a paid company-wide week off at the end of the year A remote-work stipend Mental-health and wellness support A Few Things To Know We record and transcribe interviews to evaluate candidates, in line with applicable privacy laws. We expect you to use AI in your work and we welcome it in the process, but what you submit and say should reflect your own thinking. If you have a family member or close relationship with a Babylist employee, let your recruiter know. Official outreach only ever comes from an @babylist.com address

Location: United States What The Role Is We're hiring a Staff MLE for the Discovery team to own recommendations and personalization across Babylist's consumer experience — the homepage feed, product recs, search, and the ML-powered systems that make registry building feel effortless. Babylist was built on editorial recommendations: products chosen by people with deep baby gear expertise. That editorial foundation is a big part of why millions of families trust us. We're now building ML-powered personalization on top of it, using one of the richest first-party datasets in parenting. We're early in this work, and we have a real mandate. A small Discovery team has initial retrieval and reranking models live on parts of the site and a steady cadence of A/B tests. We are looking for a Staff MLE who has seen personalization done well at scale and can set the technical direction for where we go next. Registry building is the heart of the Babylist product. Every parent builds a list of dozens of products, from swaddle to stroller, with real stakes (a friend or family member is going to buy these things, and a baby is going to use them). As a universal registry, this registry also typically spans many retailers. This makes registry building on Babylist one of the most interesting personalization problems in consumer e-commerce: latent intent, life-stage progression, multi-stakeholder gift dynamics, deep declarative signal in millions of completed registries, cross-retailer datapoints, and a user who genuinely wants help. If you want to join a mature ML org and tune models at the margins, this isn't the right role. If you've worked inside a strong recommendations team, learned what good looks like, and want to build from zero-to-one at a company earlier in the journey, read on. What You'll Own You'll be the technical lead for personalization on the Discovery team, working alongside a PM, Engineering Manager, Senior MLE and fullstack software engineers. You set where our models go over the next year or two, sequence the bets that get there, and stay deep in building. A few examples of the problems you’ll get to shape: Product recommendations across every surface. Product detail pages, add-next recommendations after someone adds to their registry, vibes/aesthetic representations of products and the shared models underneath them. Personalizing the Feed. Deciding which products, editorial content and social content each family sees, and in what order. Personalizing search. Bringing what we know about a family into search results, and helping decide how much search should share retrieval and ranking with recommendations. Making Addie (our AI registry assistant) better at recs. Working with the team behind Addie so its product suggestions draw on the same models and signals as the rest of the site. In practice, you will: Take a fuzzy business problem from first sketch to production model, and own whether it moved the metric. Make the modeling and architecture calls that span surfaces and are expensive to reverse. Design the evaluation, offline and online, that tells us a model is good before and after it ships. Know when a rule or a simple baseline is the right first step, and when it's time to pursue more advanced approaches. Partner with product, design and data to help shape what's worth building. Coach engineers on the team, and more broadly be an ML expert and resource to the wider engineering org. Who You Are You’ve shipped recommendation and/or personalization systems that reached real users at scale within a consumer product, and can point to the business impact of your work. You’ve done this within a team that did ML well — you know what good looks like, and are motivated to bring that to a company earlier in their ML journey. You bring: Expertise in recommender fundamentals: for example, candidate generation vs. ranking, offline vs. online evaluation, cold start solutions, and handling position and popularity bias. Fluency in the Python ML stack and comfort owning models through deployment and monitoring, including contributions to our application backend. An ability to take an ambiguous problem and start moving before anyone hands you the full picture. A builder's instinct for early-stage ML. You understand effort vs. effectiveness tradeoffs and can advocate for when a rule beats a model, or a model is “good enough” for early learnings. An outcome and user focused mindset. You measure yourself by business impact, and you can connect a model change to user experience & registry adds, conversion or revenue. AI-native daily practice. You're already using AI to move faster and improve your output, and you stay curious about what's coming next. Compensation We post real numbers. For a US-based Staff Engineer, the starting base salary range is $233,500 to $290,700, plus a target annual bonus of 20 percent of base. That's total target cash of roughly $280,200 to $348,840. On top of that you get meaningful equity and a 401(k) match. Where you start in that range depends on your experience, and your pay grows from there with performance and scope. How We Build AI is the default here. Engineers run agentic sessions for most of the work, and a lot of the interesting engineering now lives in the scaffolding that makes the agents good: the eval harnesses, the curated context, custom review skills and fast CI. Agents also triage incidents and handle a big share of support. A human always owns the outcome. The architecture is intentionally simple: one Rails monolith, MySQL and few moving parts. That's deliberate. Simple infrastructure lets us move fast and lets AI reason about the whole system, so the hardest problems are the ones in front of customers. The Stack Core app: Rails, Packwerk, React, TypeScript, Sidekiq Mobile: iOS (Swift), Android (Kotlin) Data, search & events: MySQL, Snowflake, dbt, Airflow, Weaviate, WarpStream, Hex, Sigma Machine learning: deep learning, matrix factorization, retrieval & ranking, AWS SageMaker, MLflow AI & dev tooling: Claude Code, Devin, Linear, CodeRabbit, Warden, LangChain, Bedrock AgentCore, Maxim Infra & ops: AWS, Kubernetes, Terraform, GitHub Actions, Datadog, incident.io, LaunchDarkly Key integrations: Shopify (payments), Iterable (CRM) Why Babylist An engineer, expecting her first baby, couldn't find the registry she wanted. So she built it. That's how Babylist started, and it's still how we work: engineers solving problems for families. Becoming a parent is one of the biggest moments in a person's life. Millions reach it for the first time every year, making thousands of decisions and figuring it out as they go. That's who we build for, and we're a long way from done. Ten million people give gifts through Babylist every year. We did more than $750M in revenue in 2025, up 45 percent over the year before, and we've been profitable for eight years while staying independent. So you can take on a hard, multi-year problem without watching over your shoulder for the next round or the next correction. And the team is small, around 65 engineers, so what you ship stays visible and your scope stays wide. How We Work Remote-first across the US and Canada, and we have been for years. That's not changing. We trust you to own your time and your outcomes, and we get everyone in a room together twice a year. Teams are small, pods of three to five engineers, so nothing you ship disappears into a committee. You'll work shoulder to shoulder with product, design and data, and with the partners across the business who rely on what you ship. You'll also stay close to customers yourself: sitting in on user interviews, watching session recordings, riding along with support. Here that's part of the engineering job, on a regular basis. How We Hire Three rounds, usually two to three weeks start to finish. Recruiter conversation (30 minutes). Trade context: what you want next, what we're building and straight answers on comp, team and remote. Technical screen (1 hour). One round, no AI, language-agnostic. Reach for Google when you normally would. We just want to see how you reason from first principles. Final round (4 hours). Four one-hour interviews: system design, AI-assisted coding with the tools you'd actually use here, product sense and culture and values. You'll hear back either way within 24 to 48 hours. If your timeline is tight, tell us and we'll move faster. Benefits Company-paid medical and fully covered dental and vision A 401(k) match Generous paid parental leave for birthing and non-birthing parents, plus a gradual return-to-work program Winter Wonder Week, a paid company-wide week off at the end of the year A remote-work stipend Mental-health and wellness support A Few Things To Know We record and transcribe interviews to evaluate candidates, in line with applicable privacy laws. We expect you to use AI in your work and we welcome it in the process, but what you submit and say should reflect your own thinking. If you have a family member or close relationship with a Babylist employee, let your recruiter know. Official outreach only ever comes from an @babylist.com address

Location: Remote: United States Workplace: Remote At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. APPLYING TO RENDER We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time. ABOUT THE ROLE DX Engineering shows developers what building on Render is actually like. We make the tutorials, demo apps, templates, and videos that get developers to try Render, and we build the agent skills and internal tooling that keep that work running at scale. We're also often the first real users of what Render ships. We test major releases end to end, the way a customer would, and tell Product and Engineering where they fall down before customers hit it. As a DX Engineer, you'll own technical content and code from the first idea to a working sample app, docs, and video. You'll work with DevRel, Product Marketing, Product, and Engineering, and you'll have real influence over how developers and coding agents discover and adopt Render. This is a remote role within the US, with the option to work out of our headquarters in San Francisco. WHAT YOU'LL DO - Build tutorials, demo apps, and videos that show developers how to build real things on Render, with a focus on AI applications, agents, and Render's AI runtime products like Render Workflows. - Own Render templates and the render-examples GitHub org for the frameworks developers ask about most. Everything you ship has to deploy and run. - Build agent skills, automation, and internal tools so the team stops doing repetitive content and ops work by hand. - Improve how Render shows up in LLM and answer-engine results. Dig into why Render is missing from an answer it should be in, then ship the content or fix that changes it. - Alpha test new releases end to end and write up what breaks, with enough detail for Product and Engineering to act on. - Contribute code to developer-facing surfaces like the Render CLI, MCP server, SDKs, and docs. - Shape the content roadmap and quality bar with Product, Engineering, and Marketing, and iterate on feedback and metrics. - Set technical direction for DX Engineering's content and tooling, and raise the bar for the rest of the team through reviews, standards, and your own work. WHAT WE'RE LOOKING FOR - 8+ years building developer content, or working as an engineer who teaches, at a developer tools or infrastructure company. - Experience setting technical direction and raising the bar for a team. - Full-stack engineering experience. Strong backend skills (Node.js/TypeScript, Python, Postgres), comfort with Docker and containers, and enough frontend skill to ship sample apps end to end. - Deep, hands-on knowledge of AI agents and the workloads they run. You've built and deployed agents that call tools, run code in sandboxes, and handle long-running tasks with retries and state, and you know what infrastructure each of those needs. - Experience with the agent stack: MCP servers, agent frameworks, LLM APIs, evals, and durable workflow or background job systems. - Daily fluency with coding agents like Claude Code, Codex, and Cursor, and the taste to ship quality work at a steady cadence with them. - Excellent technical writing. You know what world-class developer content looks like. - A track record of owning projects end to end with little direction. - Strong intuition for developer tools and a love of well-crafted user experiences. NICE-TO-HAVES - You've used Render before, professionally or on side projects. - Experience with AEO or SEO, or with measuring how content performs in LLM answers. - A public body of work: talks, a YouTube channel, popular open source repos, or a well-read blog. - Experience presenting workshops and technical talks. SOME PROJECTS YOU MIGHT WORK ON - A video series on building and deploying an MCP server on Render. - A sample app for an upcoming launch, built with Product and Engineering ahead of release. - An agent skill that turns a tutorial into a tested, deployable template. - Tracing why coding agents fail on a specific docs page, then shipping the fix. If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need. BENEFITS - 4 weeks of paid vacation. - 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return. - Long-term disability, life insurance, and 401K plans. - 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well. - Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc. - Monthly cell phone and internet subsidy. - Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders. - Continuous learning benefits & related support. This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization. Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. We encourage all who are interested to apply. We can't wait to hear from you! Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view

Location: Worldwide APPLICATION INSTRUCTIONS: If you’ve already completed the 20four7VA Recruiting Process—including the Final Interview—or have previously been contracted by a 20four7VA Client, please make sure to apply via the 20four7VA Team Portal for faster processing. Log in using your 20four7VA-issued email address to access the portal. If you’ve just logged in to the Team Portal, please proceed to review the Independent Contractor Opportunity outlined below. 💡 Quick Tip: Upload your resume first—this will automatically populate most of the fields in the application form. Let the magic happen! If you're interested in this opportunity, click APPLY TO POSITION to proceed. ******************************************************************** Title: CPT-11758 Administrative & Inbox Management Virtual Assistant Independent Contractor – CPT-11758 Administrative & Inbox Management Virtual Assistant/Business Support VA/Entry-Senior Level (Remote). Overview 20four7VA is seeking offshore independent contractors to deliver remote services to clients worldwide, with a primary focus on developed markets such as the United States, the United Kingdom, Canada, and Australia. A small private school in Connecticut is seeking a part-time Administrative & Inbox Management Virtual Assistant to provide consistent backend support to its leadership and front-office team. During the school day, the on-site staff must prioritize students, teachers, parents, and other immediate needs. As a result, email communication, file organization, and other administrative responsibilities can become difficult to manage consistently. The VA will primarily support the Head of School and Office Manager by organizing and monitoring email, identifying priority items, maintaining files and information, and helping ensure important requests receive timely attention. The objective of each engagement is to assist the client in improving business efficiency, enhancing service delivery, or supporting operational functions through high-quality, task-specific services rendered by a qualified contractor. Scope of Services Contractors will be required to provide services that align with the following client tasks: Email & Inbox Management Monitor and organize assigned email inboxes Sort, categorize, archive, and maintain incoming messages Identify high-priority or time-sensitive requests Flag messages requiring attention from school leadership or front-office staff Draft or send routine email responses using approved guidance Track outstanding requests and follow-ups Help ensure important communications do not fall through the cracks File & Information Organization Organize digital files, photos, documents, and shared folders Help establish and maintain consistent file organization Locate documents and information for school staff as needed Maintain organized records to support stronger institutional continuity Assist with transferring or organizing information within Google Drive Support additional backend administrative organization as needed General Administrative Support Assist the Head of School and Office Manager with recurring administrative tasks Research or retrieve information from school systems when needed Maintain basic trackers, lists, and administrative records Follow established escalation procedures for urgent or sensitive requests Assist with additional administrative projects during higher-volume periods Each engagement is based on a defined scope of work and is governed by an independent contractor agreement. Services must be performed professionally, with adherence to any timelines, guidelines, and deliverables agreed upon in writing. Skills The Contractor must demonstrate proficiency in the following, depending on the Client’s requirements: Previous administrative, executive assistant, office support, or similar experience strongly preferred Inbox and email-management experience strongly preferred Strong Google Workspace experience required File and document organization experience required Excellent written English required Strong attention to detail and organizational skills Customer service or email-based communication experience preferred Previous education or school administrative experience is a plus but not required IDEAL CANDIDATE PROFILE Highly organized and detail-oriented Strong inbox and email-management skills Excellent written English communication Able to identify and prioritize urgent versus routine requests Comfortable handling information from parents, teachers, staff, and community members Professional and discreet with school-related information Able to work independently and consistently Strong file and document-management habits Comfortable learning a small organization's internal processes APPLICATION SOFTWARE KNOWLEDGEABLE / REQUIRED Google Workspace Gmail Google Drive Google Docs / Sheets Snowman Day School Platform – Client Training Provided Work Schedule Contracted Hours per Week: 10 Hours Scheduled Working Days: Monday through Friday (unless otherwise mutually agreed in writing) Daily Working Time: 7:00 AM – 9:00 AM EST Note: The Company will make reasonable efforts to align the Assigned VA’s schedule with the Client’s preferred hours as set forth above. However, availability may vary based on time zones, capacity, and the contracted hours set in this SOW. Any changes must be mutually agreed to in writing through a revised SOW. Terms of Engagement Contractors will operate under a Master Services Agreement and a Statement of Work This is not an offer of employment; contractors are not employees of 20four7VA or any client All compensation is processed through 20four7VA according to the terms of the engagement Role Summary & Requirements REQUIRED SERVICE: Business Support REQUESTED EXPERIENCE TIER LEVEL: Entry, Junior, Senior Level Contracted Hours per Week: 10 hours/week Daily Working Time: 7:00 AM – 9:00 AM EST Scheduled Working Days: Monday-Friday REPORTING TO/POC: To Be Determined Number of VAs: 1 GENDER PREFERENCE: None LANGUAGES SPOKEN/PREFERENCE: English ACCENT PREFERENCE: Level A-C (Excellent Written English Required) REGION PREFERENCES: Any What we offer Competitive rates Weekly payments Various open roles are available Free training and upskilling Constant support and guidance A vibrant community always ready to support you And more!

Location: New York City, New York, United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The Role We are looking for a Senior Full Stack Engineer to build how developers and AI agents access our agentic web infrastructure. This role is based in our New York office, hybrid with the NYC team. Our APIs are used by millions of developers and the AI agents acting on their behalf. The team owns the main API gateway, the customer platform (keys, usage, teams), identity and enterprise SSO , and the public interfaces to our product: the SDKs, CLI, MCP servers and other tools developers and agents use. You'll work closely with product, design and engineers across our R&D. In this position, your responsibility will be to: Design and ship features end to end, from the interface to the services and data behind it Build and improve the API gateway: high traffic, low latency, reliable Turn usage, billing and team data into fast, usable interfaces: tables, charts, filters and forms Shape the self-serve journey from signup through activation Build and operate identity and team access in production: OAuth and OIDC , role-based access, SAML SSO and SCIM , on providers such as Auth0, Okta, WorkOS or Clerk Control who gets which features, with feature flags for staged rollouts and entitlements after rollout Improve the public interfaces developers and agents use: the SDKs, CLI, MCP servers and docs You may be a good fit if you: Have 5+ years of full-stack engineering on customer-facing products or high-throughput APIs, in any mix of frontend and backend Are strong in backend engineering, ideally in Python. Go, C++ or C with some Python experience also fits Have built and operated latency-sensitive, high- QPS APIs: caching, async work, queues, retries and rate limiting, including long-running jobs and webhooks Have shipped production UI with a modern frontend framework such as React, Next.js or TanStack, ideally in TypeScript Have built data-heavy interfaces such as tables, charts and filters that stay fast Are effective in a mature, user-facing system: you have joined a complex codebase, ramped up fast, shipped safely under real traffic, and been on-call for it Have strong product and design sense, for interfaces and for APIs See your work through from design to production, explain trade-offs clearly to partners, navigate ambiguity, and use AI tools in how you build Strong candidates may also: Have led a project or mentored others Have taken a product from 0 to launch Have built API-key issuance and lifecycle Have built MCP servers or tools for AI agents Have worked on billing or usage metering with Stripe, Metronome, Orb or similar Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $147,200 — $224,300 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Проектирование и разработка frontend- и backend-архитектуры платформы. Обязательные требования:

Проведение полного цикла тестирования нового функционала системы RMS: «Журнал предварительной комплектации» и «Управление СМС-рассылками»; подготовка и выполнение тестовых сценариев;

Location: Remote - Global Workplace: Remote At Moxie, we empower ambitious aesthetic entrepreneurs to build profitable, independent practices—without burnout, overwhelm, or guesswork. In just a few years, we've grown from an idea to a global, remote-first team now supporting 700+ practices nationwide. Our purpose is simple: to unlock sustainable success for aesthetic entrepreneurs, at every stage of their journey. STAFF AI ENGINEER We're looking for a Staff AI Engineer to lead some of Moxie's highest-impact AI projects in Q4 2026 and H1 2027, including Maia, the Context Engine, and AI drafts. Beyond the project work, you'll provide technical leadership across the company and own and validate major architectural decisions that shape how Moxie builds, with particular responsibility for our AI systems and shared AI platform. You'll join the Client Experience team and work day to day with Product, Design, QA, Operations, and your engineering peers. You'll inherit live LLM features and a growing shared platform underneath them, including customer-facing systems where quality is visible to patients and providers. The bar is production, not demos. OUR OBJECTIVES FOR THE ROLE - Become a primary IC on Moxie's AI initiatives. Within your first month you're contributing to production AI systems, understanding our architecture and key workflows, and identifying opportunities for improvement. By month three you're a leading technical contributor on one or more AI initiatives, including Maia, AI drafts, or the Context Engine. - Ship early wins that improve AI quality and reliability. Within your first two months, deliver targeted fixes and improvements to known failure modes, evaluation coverage, or production reliability, with measurable evidence that they worked. - Lead a major AI project from design to production. Take one meaningful AI initiative through design, architecture review, cross-functional collaboration, and launch, including the evaluation and guardrail systems needed to operate it reliably. By month six, lead a second, more ambitious initiative to a visible milestone or production-ready state. - Shape architecture across the company. Within your first month, you're actively participating in architectural discussions and identifying opportunities to improve Moxie's systems. By month three, you're leading technical proposals, influencing major architectural decisions across teams, and taking designs from proposal through review, approval, and implementation, with particular ownership of our AI architecture and shared platform. - Make AI quality measurable and scalable. Within six months, our AI features have measurable quality scorecards, regressions are caught before production, and the Context Engine is becoming the standard data path for AI surfaces, supported by shared evaluations, guardrails, and observability. - Own non-project technical initiatives and engineering culture. Start owning at least one org-level initiative in your first three months (for example AI evaluation standards, agentic SDLC improvements, code review practices, or documentation culture), and by month nine own one or two initiatives with measurable gains in quality or velocity, while shipping v1 of one or more key initiatives. WE'RE LOOKING FOR - Staff-level engineering experience. You've led large, ambiguous initiatives as a hands-on IC, owning delivery, tradeoffs, and major architectural decisions across teams. - Production LLM experience. You've led the design and delivery of LLM agents or generative features that real customers depend on, not just prototypes or internal tools. - Technical leadership and engineering standards. You've improved engineering practices, influenced peers across teams, and worked with Product, Design, and engineering leadership to resolve complex decisions and raise the technical bar. - AI evaluation and quality engineering. You've built evaluation systems for production AI, combining automated tests, agent traces, human feedback, and production monitoring to measure quality, catch regressions, and continuously improve reliability. - Sound agent and tool design. You know when to use deterministic code versus an LLM, design safe tool boundaries and human handoffs, and manage reliability, security, latency, and cost tradeoffs. You make pragmatic build-versus-buy and model-provider decisions. - Strong backend and platform engineering. You're comfortable with Python and Django, Postgres, Redis, async workers, and REST or GraphQL, and can design shared AI infrastructure with clear contracts, caching, and tenant isolation. This is not a role for someone who starts by swapping models or rewriting prompts before measuring what is actually broken. WHY JOIN US? - Ship production AI that patients and medspa staff use every day. Maia answers medspas' texts and calls, and AI drafts go out from the provider's own number, so your work is visible to real people. - Breadth across several AI products and the shared platform underneath them, with real architectural influence as a decision-maker on the architecture review board. - A proprietary data advantage. You'll build on clinical and practice data from roughly 1,200 medspas that competitors can't access. - High-trust, high-ownership IC work at staff level, with a say in the AI roadmap and in how Moxie builds AI. - Above all, we're in this to empower small business owners to own and grow their businesses. If you succeed, Med Spas will remain the opportunity for independent owner-operators instead of being dominated by a small number of large chains. If that speaks to you, speak to us. - Competitive salary At Moxie, we believe in creating a workplace where everyone feels valued, trusted, and included. Our team lives by our values: act as owners, give more than we take, move with speed and care, and simplify and learn every day. We welcome people of all backgrounds, experiences, and perspectives to apply. If you require any accommodations to fully participate in the interview process, please let us know, we’re happy to assist.

Location: Remote - AMER Workplace: Remote ABOUT US: Constructor is the only search and product discovery platform tailor-made for enterprise ecommerce where conversions matter. Constructor's AI-first solutions make it easier for shoppers to discover products they want to buy and for ecommerce teams to deliver highly personalized experiences that drive impressive results. Optimizing specifically for ecommerce metrics like revenue, conversion rate and profit, Constructor generates consistent $10M+ lifts for some of the biggest brands in ecommerce, such as Sephora, Petco, home24, Maxeda Brands, Birkenstock and The Very Group. Constructor is a U.S. based company that was founded in 2015 by Eli Finkelshteyn and Dan McCormick. ABOUT THE TEAM We're a passionate team that loves challenges and wants to make people’s lives better. We value openness, curiosity, and continuous improvement. We believe that empowering everyone in a company to do what they think is best can lead to great things. ROLE OVERVIEW As a Sales Engineer, you will lead the technical components of the sales process. You will partner closely with Account Executives and prospective customers to design integration approaches, evaluate technical fit, and demonstrate how Constructor’s platform drives measurable business impact. This role combines technical architecture design, consultative discovery, and cross-functional collaboration. You will act as a bridge between customer engineering teams and Constructor’s Product and Engineering teams. This is not a demo-heavy role. Account Executives perform the majority of demonstrations at Constructor. This role requires architectural thinking, integration planning, and consultative problem-solving. KEY RESPONSIBILITIES TECHNICAL SALES & SOLUTION DESIGN - Lead technical discovery and solution design for prospective customers - Design and document integration architectures (APIs, ecommerce platforms, PIM, CMS, data pipelines) - Develop and support tailored Proof Schedules (deeply tailored, data-backed custom demo, similar to a “proof of value”) - Deliver technical presentations to both business and technical stakeholders - Serve as primary technical advisor during evaluation cycles - Troubleshoot and triage APIs, SDKs, and integration patterns - Willingness to tinker and build demo prototypes and tooling - Build and present compelling custom technical demonstrations and integration blueprints tailored to each sales opportunity - Support RFP and RFI responses CROSS-FUNCTIONAL COLLABORATION - Partner with Product and Engineering to surface prospective customer feedback to influence product roadmap and integration strategy - Contribute insights to the roadmap and the go-to-market strategy - Support enablement and training for sales teams - Help refine documentation, processes, and best practices within the SE function MARKET & INDUSTRY ENGAGEMENT - Stay current on ecommerce trends, AI/ML advancements, and the competitive landscape - Represent Constructor in prospect meetings, partner engagements, field events, and other industry engagements - Build strong relationships with prospective customer technical stakeholders (architects, engineers, delivery teams) REQUIRED QUALIFICATIONS & SKILLS - 3+ years of experience in technical Solutions Engineering, Sales Engineering, Pre-Sales Architect, or Technical Pre-Sales roles - Deep hands-on experience with API-first platforms: comfortable working directly with REST APIs, JSON data structures, webhooks, and SDK integration patterns, and able to troubleshoot them with Postman or similar tools - Working knowledge of JavaScript, TypeScript, Python, or similar languages, enough to read integration code, debug client-side implementations, and build lightweight prototypes or demo tooling - Experience designing and running custom demos or pilots with clear, business-aligned success criteria - Hands-on experience with coding agents to automate workflows, amplify impact, and execute at scale - Ability to read the room, tailor your communication to diverse audiences, and identify detractors, champions, and key decision-makers - Strong written and verbal communication, with a track record of producing clear technical documentation and explaining complex ideas to developers, architects, and C-suite executives alike - Ability to effectively articulate complex ideas to both technical and non-technical audiences - Ability to empathize with prospects’ challenges and goals - Skilled listener with innate curiosity - Passionate about innovative technology, technical sales, and articulating value to prospects - Enjoys working with prospects and is comfortable interacting with C-suite executives from both technical and business perspectives PREFERRED QUALIFICATIONS - Experience in enterprise ecommerce or retail technology environments - Hands-on familiarity with at least two major ecommerce platforms, including how each handles catalog structure, extensions, and headless versus templated frontends - Deep understanding of data mapping between backend systems such as PIM, ERP, or legacy search indexes into a new target schema, possibly including product and variant structures, facets, attributes, and pricing logic - Working knowledge of search and discovery concepts - Experience supporting security reviews and procurement requirements, including GDPR, data processing agreements, data residency, and ISO 27001 or SOC 2 questionnaires - Ability to build business value models that connect search improvements to revenue, conversion, or average order value - Exposure to conversational or agentic shopping experiences, or retail media and sponsored product programs WHAT SUCCESS LOOKS LIKE - Prospects clearly understand technical integration paths - Proof Schedules(deeply tailored, data-backed custom demo, similar to a “proof of value”) align tightly with business outcomes - Technical objections are addressed proactively and effectively - Sales cycles are accelerated through a strong technical partnership - Product and Engineering receive actionable, structured market feedback - Qualitative (peer and prospect feedback) and quantitative (sales metrics and customer health scores) feedback will be positive and ideally, excellent WORKING STYLE - Comfortable operating in a remote, distributed, and highly cross-functional environment - Able to manage multiple sales engagements and priorities simultaneously - A builder mindset that is proactive in creating structure in ambiguous environments - Highly collaborative with a strong sense of ownership and autonomy - Commercially aware and aligned with revenue and sales growth goals - Resourceful self-starter who can operate autonomously You’ll Thrive Here If… You’re a curious, skilled listener who genuinely enjoys untangling a prospect’s technical challenges. You get energy from tinkering and building, whether that’s a quick prototype, an integration blueprint, or a better internal process. You’re as comfortable whiteboarding with an engineering team as you are presenting to a CTO. And you have a competitive streak—not just to win the technical evaluation, but to show how the right technical decisions drive meaningful business results. BENEFITS - 🏝️ Unlimited vacation time -we strongly encourage all of our employees take at least 3 weeks per year - 💰 A competitive compensation package including stock options - 🌎 Fully remote team - choose where you live - 🛋️ Work from home stipend! We want you to have the resources you need to set up your home office - 💻 Apple laptops provided for new employees - 🧑‍🎓 Training and development budget for every employee, refreshed each year - 👪 Parental leave for qualified employees - 🧠 Work with smart people who will help you grow and make a meaningful impact   DIVERSITY, EQUITY, AND INCLUSION AT CONSTRUCTOR At Constructor.io http://Constructor.io we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group. Studies have shown that women and people of color may be less likely to apply for jobs unless they meet every one of the qualifications listed. Our primary interest is in finding the best candidate for the job. We encourage you to apply even if you don’t meet all of our listed qualifications. How we handle your data. By submitting this application, you acknowledge that Constructor will collect and process the personal data you provide for the purpose of evaluating your candidacy for this role. If you are not selected, we will retain your data for a limited period as described in our Recruitment Privacy Notice https://constructor.com/recruitment-privacy-notice. After that period your data will be deleted or anonymized.

Location: Redwood City, CA, United States WHAT IS BOX? Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia. By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift. WHY BOX NEEDS YOU The Reliability Engineering team at Box ensures our platform delivers world-class performance, scalability, and reliability as we continue to serve millions of users worldwide. As our business grows, so does the complexity of operating distributed systems at scale. Our mission is to proactively identify and solve the hardest reliability and performance challenges across Box’s infrastructure, working closely with product and platform teams to build resilient, scalable, and highly performant services. As a Senior Software Engineer on the Reliability Engineering team, you’ll have a direct impact on the performance and scalability of our most critical services. You’ll partner with engineering teams across the company to analyze complex system behaviors under load, design scalable solutions, and build testing frameworks that validate service reliability before issues arise in production. This role provides a unique opportunity to work broadly across our technical stack and make meaningful contributions to Box’s long-term scalability and customer experience. WHAT YOU’LL DO Partner with product and platform engineering teams to assess service designs for scalability and performance risks, ensuring systems are built for long-term growth. Analyze production workloads, system metrics, and load test results to identify bottlenecks, resource inefficiencies, and architectural scaling limits. Design and build frameworks for load testing, capacity modeling, and performance validation that enable teams to proactively address scale concerns. Drive improvements in backend service efficiency, API response times, and resource utilization across Box’s globally distributed platform. Collaborate with SRE, infrastructure, and platform teams to optimize scaling strategies, auto-scaling policies, and resource allocation. Build automation and tooling that integrate performance validation into CI/CD pipelines, enabling early detection of regressions. Participate in root cause analysis of performance-related incidents, identify systemic issues, and drive cross-team remediation efforts. Contribute to the evolution of observability standards (SLIs, SLOs, latency/error budgets) that measure and guide service health. WHO YOU ARE 5+ years of experience in software engineering, performance engineering, or site reliability engineering, with a focus on backend systems and scalability. Proficient in one or more programming languages such as Go or Java, with an emphasis on building performant services. Strong understanding of distributed systems, concurrency, resource contention, and efficient system design. Hands-on experience analyzing and improving application and system performance across compute, storage, database, and networking layers. Familiarity with load testing and performance benchmarking tools (e.g., Locust, JMeter, Gatling, or custom frameworks). Experience working with cloud infrastructure (AWS, GCP) and container orchestration (Kubernetes). Proficient with observability tools and telemetry systems (e.g., Prometheus, Chronosphere, Grafana, Datadog, ELK). Excellent problem-solving and analytical skills, with a data-driven approach to diagnosing complex system behaviors. Strong collaboration and communication skills; comfortable partnering across engineering teams to drive reliability improvements. PREFERRED QUALIFICATIONS Experience with service mesh technologies (Istio, Envoy) and cloud-native networking performance optimization. Exposure to capacity planning, cost optimization, and long-term resource forecasting in cloud environments. Familiarity with incident response processes, post-incident reviews, and reliability improvement practices. Experience contributing to internal platforms, developer tooling, or performance automation frameworks. METHODOLOGY Agile management - Scrum Issue tracking tool - Jira Knowledge repository - Confluence Code reviews - GitHub Enterprise Version control system - Git EQUAL OPPORTUNITY We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation. Box strives to respect the dignity and ‎‎independence of people with disabilities and is committed to giving them the same ‎‎opportunity to succeed as all other employees. Inclusiveness is core to our culture at Box, and we strive to ensure you get the most from your interview experience. Box makes reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please complete this form . Reasonable accommodations may include scheduling adjustments, document dictation and beyond. Notice to applicants in Los Angeles:  Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chair Ordinance.  The Fair Chance Ordinance is provided here . Notice to applicants in San Francisco:  Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chair Ordinance.  The Fair Chance Ordinance is provided here . For details on how we protect your information when you apply, please see our Personnel Privacy Notice. If you are a California-resident, please read our California Applicant & Candidate Privacy Notice here . NOTICE OF USE OF AI At Box, we believe in the power of AI to improve the recruiting process while keeping people at the heart of every decision. For more information on the use of AI in our hiring process, please visit our webpage here . Box is committed to fair and equitable compensation practices. Actual base salary (or OTE if commissionable role) is dependent upon factors such as: knowledge, skill level, experience, and work location. This role is also eligible for equity and benefits. For more information , check out our benefits and perks . In accordance with OFCCP compliance, here is the Pay Transparency Provision . Redwood City Pay Range $198,500 — $248,000 USD

Location: Remote - US Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Software Engineer, (L3) Email About the job This position is a critical engineering role within Twilio SendGrid, requiring a hands-on engineer capable of developing, deploying, and managing highly available, massive-scale distributed systems. Our systems regularly process more than 12 billion emails during peak events like Black Friday, and our throughput requirements continue to scale rapidly. As an L3 engineer, you will act as a key driver of execution within our core services. You will be heavily involved in modernizing our backend systems, optimizing our extensive Go-based microservices, and contributing to the design and reliability of our dual-cloud infrastructure span across Amazon Web Services (AWS) and Microsoft Azure. Responsibilities In this role, you’ll: WEAR THE CUSTOMER’S SHOES: Architect and ship reliable, high-velocity features that handle critical traffic with low end-to-end latency. Partner closely with product management and technical leadership to break down complex system requirements into manageable, iterative milestones. BE AN OWNER (CODE QUALITY): Drive rigorous code reviews and push for maintainable patterns in our Go codebase, ensuring high testing standards (unit, integration, and component testing) are executed across the team. BE AN OWNER (INFRASTRUCTURE & OBSERVABILITY): Manage and enhance cloud configurations across AWS and Azure environments utilizing Infrastructure as Code (Terraform). Ensure deep observability coverage by standardizing metrics, alerts, and distributed tracing across core data pipelines. CHAMPION ENGINEERING HEALTH: Advocate for a clean architectural foundation. Proactively identify technical debt, system bottlenecks, and single points of failure (SPOF), balancing feature delivery with critical platform refactoring. MENTOR AND LEAD: Foster a collaborative environment by mentoring junior engineers, leading technical sprint planning, and sharing expertise across distributed engineering nodes. Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! Required: Experience: 4+ years of professional software engineering experience building and operating resilient backend services at scale. Modern Development Workflow: Practical experience leveraging AI-assisted development tools (such as Claude Code) to accelerate code generation, automate testing, and streamline debugging workflows. Language Proficiency: Strong, hands-on production experience writing clean, idiomatic, and highly concurrent Go (Golang), Java or Python . Cloud Infrastructure: Solid experience deploying and managing production workloads in cloud environments—ideally with deep exposure to AWS core services (such as EC2, S3, Aurora, or DynamoDB) AND Microsoft Azure equivalents (such as Virtual Machines, Blob Storage, Azure SQL, or Cosmos DB). Infrastructure as Code: Proficiency with Terraform for provision-level automation and maintaining environment parity. Distributed Systems: Strong theoretical and practical understanding of distributed datastores, caching layers, and asynchronous event streaming (e.g., Kafka or similar queuing ecosystems). Systems Mindset: Strong foundational background in computer science fundamentals, data structures, and building self-healing cloud architectures. Desired: Prior experience managing high-throughput applications running inside containerized infrastructure ( Docker, Kubernetes ). Familiarity with database migration pathways (e.g., transitioning traditional on-prem/relational datastores to managed instances like AWS Aurora ). Experience implementing OpenTelemetry or distributed tracing systems across decoupled microservice platforms. Direct experience handling constraints related to network topology, proxy layers, or mail transfer agent (MTA) protocols. Location This role will be remote, but is not eligible to be hired in CA, CT, NJ, NY, PA, WA. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Compensation *Please note the salary range information provided applies only to candidates residing in California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington D.C., and Washington State due to local requirements. Compensation for candidates in other locations will be discussed during the hiring process. Please note that hiring for this role is not restricted to the locations listed above. The estimated pay ranges for this role are as follows: Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $138,700 - $173,400 Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $146,800 - $183,600 Based in the San Francisco Bay area, California: $163,100 - $203,900. This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave. The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. Applications for this role are intended to be accepted until 12/31/2026, but may change based on business needs. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic . Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. . Stay alert to recruitment fraud We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @ twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps. . Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Location: United States (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we are looking for candidates from the U.S. The Opportunity Grafana Labs is seeking a Staff Engineer (AI & Automation) to own the AI agent infrastructure and automation platform that powers our Marketing Operations organization. You’ll build multi-agent architectures, LLM integrations, and backend services that connect AI models to internal and third-party data platforms. You’ll ship production systems that teams depend on daily. This is a high-autonomy role where you own the technical direction. You’ll identify the highest-leverage problems across Marketing, RevOps, and SDR teams, design the solutions, and ship them. You’ll define the technical direction for the automation platform (data models, API contracts, shared libraries, reference architectures) and partner with Data Engineering, GTM Systems, and Field Operations to build scalable, self-service automation that eliminates manual work and drives operational efficiency. What You'll Be Doing Agentic Systems & AI Infrastructure Own end-to-end development of multi-agent AI systems, from architecture and implementation through testing, deployment, and ongoing operation Build modular, composable agentic systems using orchestration frameworks (LangChain, CrewAI, Anthropic MCP, or similar) that operate 24/7 across teams Develop reusable agentic skills that agents invoke across interfaces (Slack, dashboards, internal apps, CLIs) Implement observability and feedback loops including logging, performance metrics, prompt iteration, model evaluation, and cost management Establish governance and compliance standards for AI workflows including access controls, audit trails, PII handling, and human-in-the-loop escalation paths Systems Integration & Backend Services Build MCP servers, APIs, CLIs, and microservices connecting AI models to business systems (BigQuery, Slack, CRMs, email, calendars, analytics tools) Architect data flows for retrieval-augmented generation (RAG), connecting LLMs to internal knowledge bases, customer data, and real-time business context Build serverless or containerized services (GCP Cloud Functions, Cloud Run) that scale with usage and integrate with Grafana's cloud infrastructure Automation & Workflow Enablement Partner with RevOps, Demand Generation, Regional Marketing, and SDR teams to scope high-impact automation problems, identify bottlenecks, and build solutions with measurable business outcomes Design and deploy workflows using orchestration tools (n8n, Workato, or custom platforms) with CI/CD, testing, and production reliability standards Build systems designed for self-service with documentation, playbooks, and enablement materials that let partner teams operate independently We invest heavily in developer productivity. You'll have access to AI coding assistants (Claude Code, Gemini CLI, OpenAI Codex, and others of your choice within security guidelines). We encourage pragmatic AI-assisted development paired with strong code review and quality standards. What Makes You a Great Fit 8+ years of software engineering experience with depth in backend development, systems integration, or data/analytics engineering 2+ years hands-on experience applying LLMs/AI to production workflows, not just prototypes Strong proficiency in Python and JavaScript/Node.js with Git-based workflows, code review practices, and testing discipline Hands-on experience with LLM frameworks and patterns including prompt engineering, RAG, function calling/tool use, structured output parsing, and evaluation Experience building and operating multi-agent systems at scale including agent decomposition, orchestration patterns (sequential chains, router/dispatcher, parallel fan-out), state management, and production monitoring You diagnose business problems before writing code. You think in workflows and outcomes, not just functions. Deep familiarity with Google Cloud Platform, BigQuery, and serverless/containerized services (Cloud Functions, Cloud Run) Understanding of LLM failure modes and production mitigations including confidence thresholds, fallback logic, human escalation, and cost/latency management Proven ability to identify high-leverage problems, push back on low-impact requests, and deliver end-to-end with minimal direction Fluent with AI-assisted development tools (GitHub Copilot, Cursor, Claude Code). You use AI to build AI systems Clear technical communicator who can explain complex systems in simple terms to both engineers and business stakeholders Bonus Points Experience with vector databases or retrieval pipelines (Pinecone, Weaviate, ChromaDB, Qdrant, pgvector) Familiarity with marketing or sales platforms (Salesforce, Customer.io, HubSpot, Marketo, Outreach) Experience with frontend frameworks (React, Slack Block Kit) for building user-facing AI tool interfaces Observability tooling for AI systems (LangSmith, Weights & Biases, custom evaluation frameworks) Experience with workflow orchestration platforms (n8n, Temporal, Prefect, Airflow) Familiarity with Model Context Protocol (MCP) or similar standards for connecting AI systems to data sources Prior work automating marketing, sales, or customer success workflows in a B2B SaaS environment Active in open-source communities. Grafana is built on OSS and we value engineers who share that DNA In the United States, the base compensation range for this role is USD $154,445 - USD $185,334. 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 .

Location: Canada (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we are looking for candidates from Canada. Residents of Quebec are not eligible for this role. The Opportunity Grafana Labs is seeking a Staff Engineer (AI & Automation) to own the AI agent infrastructure and automation platform that powers our Marketing Operations organization. You’ll build multi-agent architectures, LLM integrations, and backend services that connect AI models to internal and third-party data platforms. You’ll ship production systems that teams depend on daily. This is a high-autonomy role where you own the technical direction. You’ll identify the highest-leverage problems across Marketing, RevOps, and SDR teams, design the solutions, and ship them. You’ll define the technical direction for the automation platform (data models, API contracts, shared libraries, reference architectures) and partner with Data Engineering, GTM Systems, and Field Operations to build scalable, self-service automation that eliminates manual work and drives operational efficiency. What You'll Be Doing Agentic Systems & AI Infrastructure Own end-to-end development of multi-agent AI systems, from architecture and implementation through testing, deployment, and ongoing operation Build modular, composable agentic systems using orchestration frameworks (LangChain, CrewAI, Anthropic MCP, or similar) that operate 24/7 across teams Develop reusable agentic skills that agents invoke across interfaces (Slack, dashboards, internal apps, CLIs) Implement observability and feedback loops including logging, performance metrics, prompt iteration, model evaluation, and cost management Establish governance and compliance standards for AI workflows including access controls, audit trails, PII handling, and human-in-the-loop escalation paths Systems Integration & Backend Services Build MCP servers, APIs, CLIs, and microservices connecting AI models to business systems (BigQuery, Slack, CRMs, email, calendars, analytics tools) Architect data flows for retrieval-augmented generation (RAG), connecting LLMs to internal knowledge bases, customer data, and real-time business context Build serverless or containerized services (GCP Cloud Functions, Cloud Run) that scale with usage and integrate with Grafana's cloud infrastructure Automation & Workflow Enablement Partner with RevOps, Demand Generation, Regional Marketing, and SDR teams to scope high-impact automation problems, identify bottlenecks, and build solutions with measurable business outcomes Design and deploy workflows using orchestration tools (n8n, Workato, or custom platforms) with CI/CD, testing, and production reliability standards Build systems designed for self-service with documentation, playbooks, and enablement materials that let partner teams operate independently We invest heavily in developer productivity. You'll have access to AI coding assistants (Claude Code, Gemini CLI, OpenAI Codex, and others of your choice within security guidelines). We encourage pragmatic AI-assisted development paired with strong code review and quality standards. What Makes You a Great Fit 8+ years of software engineering experience with depth in backend development, systems integration, or data/analytics engineering 2+ years hands-on experience applying LLMs/AI to production workflows, not just prototypes Strong proficiency in Python and JavaScript/Node.js with Git-based workflows, code review practices, and testing discipline Hands-on experience with LLM frameworks and patterns including prompt engineering, RAG, function calling/tool use, structured output parsing, and evaluation Experience building and operating multi-agent systems at scale including agent decomposition, orchestration patterns (sequential chains, router/dispatcher, parallel fan-out), state management, and production monitoring You diagnose business problems before writing code. You think in workflows and outcomes, not just functions. Deep familiarity with Google Cloud Platform, BigQuery, and serverless/containerized services (Cloud Functions, Cloud Run) Understanding of LLM failure modes and production mitigations including confidence thresholds, fallback logic, human escalation, and cost/latency management Proven ability to identify high-leverage problems, push back on low-impact requests, and deliver end-to-end with minimal direction Fluent with AI-assisted development tools (GitHub Copilot, Cursor, Claude Code). You use AI to build AI systems Clear technical communicator who can explain complex systems in simple terms to both engineers and business stakeholders Bonus Points Experience with vector databases or retrieval pipelines (Pinecone, Weaviate, ChromaDB, Qdrant, pgvector) Familiarity with marketing or sales platforms (Salesforce, Customer.io, HubSpot, Marketo, Outreach) Experience with frontend frameworks (React, Slack Block Kit) for building user-facing AI tool interfaces Observability tooling for AI systems (LangSmith, Weights & Biases, custom evaluation frameworks) Experience with workflow orchestration platforms (n8n, Temporal, Prefect, Airflow) Familiarity with Model Context Protocol (MCP) or similar standards for connecting AI systems to data sources Prior work automating marketing, sales, or customer success workflows in a B2B SaaS environment Active in open-source communities. Grafana is built on OSS and we value engineers who share that DNA In Canada, the base compensation range for this role is CAD 164,490 - CAD 197,389 . 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 .