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Location: Netherlands; Germany; Sweden; Switzerland; New Zealand; Spain About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking experienced Subject Matter Experts (SMEs)in psychology, social work, counseling, qualitative research, human-computer interaction (HCI), communication, conflict resolution, coaching, and related advisory fields to support AI conversation evaluation research. You will review conversations between people and AI models, assess whether sufficient context was gathered before recommendations were made, identify missed opportunities for clarification, and provide structured feedback to improve conversational quality. The ideal candidate has at least 3–5 years of relevant professional experience, strong analytical skills, and the ability to distinguish information that could materially change a recommendation from details that are less relevant. Key Responsibilities Review AI conversations involving real-world interpersonal situations and everyday decision-making. Identify missing context and recommend relevant follow-up questions that could improve the quality of AI responses. Evaluate whether gathering additional information would materially change an AI-generated recommendation. Distinguish between load-bearing information that affects a decision and non-essential or merely descriptive details. Conduct qualitative reviews and document findings using structured evaluation guidelines. Assess whether conversations adequately consider relevant personal, psychological, social, financial, practical, and organizational factors. Identify missed opportunities for clarification, deeper understanding, and information gathering. Review conversations involving relationships, work, education, family, wellbeing, planning, and resource constraints. Collaborate with research teams to ensure consistent, evidence-based assessments. Maintain high standards of accuracy, clarity, and consistency while meeting project deadlines. Requirements Candidates must have at least 3–5 years of relevant direct professional experience in one or more of the following domains: 1. Licensed Social Work Master's degree in Social Work (MSW) or an equivalent graduate-level qualification. LCSW, LICSW, LMSW, or an equivalent applicable social work license or credential. Experience in client assessment, case review, interviewing, counseling, or related social-work practice. 2. Counseling, Therapy, or Psychology Master's degree in a relevant discipline with an LMFT, LPC, LCPC, or equivalent counseling or therapy license or credential; or PhD or PsyD in Clinical, Counseling, Social, or Industrial-Organizational Psychology. Relevant experience in counseling, therapy, psychological assessment, interviewing, case review, or other client-facing professional work. 3. Qualitative Research, HCI, or Communication MA, PhD, or equivalent advanced expertise in Human-Computer Interaction, Communication, Anthropology, Sociology, Qualitative Research, or a closely related discipline. Experience conducting qualitative research, interviews, user research, conversation analysis, thematic analysis, or qualitative coding. Ability to analyze conversations systematically and identify missing context, communication patterns, and opportunities for clarification. 4. Mediation, Coaching, Student Services, Organizational Consulting, or Related Advisory Fields Relevant professional qualification, credential, or demonstrated subject-matter expertise. At least 5 years of direct advisory or client-facing experience for candidates qualifying through this pathway. Experience in coaching, mediation, student advising, organizational consulting, or comparable professional work. Demonstrated ability to gather context, understand individual or organizational needs, and provide informed recommendations.

Location: United States; Saudi Arabia; Canada; United Kingdom; Australia; Ireland About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking experienced Subject Matter Experts (SMEs)in psychology, social work, counseling, qualitative research, human-computer interaction (HCI), communication, conflict resolution, coaching, and related advisory fields to support AI conversation evaluation research. You will review conversations between people and AI models, assess whether sufficient context was gathered before recommendations were made, identify missed opportunities for clarification, and provide structured feedback to improve conversational quality. The ideal candidate has at least 3–5 years of relevant professional experience, strong analytical skills, and the ability to distinguish information that could materially change a recommendation from details that are less relevant. Key Responsibilities Review AI conversations involving real-world interpersonal situations and everyday decision-making. Identify missing context and recommend relevant follow-up questions that could improve the quality of AI responses. Evaluate whether gathering additional information would materially change an AI-generated recommendation. Distinguish between load-bearing information that affects a decision and non-essential or merely descriptive details. Conduct qualitative reviews and document findings using structured evaluation guidelines. Assess whether conversations adequately consider relevant personal, psychological, social, financial, practical, and organizational factors. Identify missed opportunities for clarification, deeper understanding, and information gathering. Review conversations involving relationships, work, education, family, wellbeing, planning, and resource constraints. Collaborate with research teams to ensure consistent, evidence-based assessments. Maintain high standards of accuracy, clarity, and consistency while meeting project deadlines. Requirements Candidates must have at least 3–5 years of relevant direct professional experience in one or more of the following domains: 1. Licensed Social Work Master's degree in Social Work (MSW) or an equivalent graduate-level qualification. LCSW, LICSW, LMSW, or an equivalent applicable social work license or credential. Experience in client assessment, case review, interviewing, counseling, or related social-work practice. 2. Counseling, Therapy, or Psychology Master's degree in a relevant discipline with an LMFT, LPC, LCPC, or equivalent counseling or therapy license or credential; or PhD or PsyD in Clinical, Counseling, Social, or Industrial-Organizational Psychology. Relevant experience in counseling, therapy, psychological assessment, interviewing, case review, or other client-facing professional work. 3. Qualitative Research, HCI, or Communication MA, PhD, or equivalent advanced expertise in Human-Computer Interaction, Communication, Anthropology, Sociology, Qualitative Research, or a closely related discipline. Experience conducting qualitative research, interviews, user research, conversation analysis, thematic analysis, or qualitative coding. Ability to analyze conversations systematically and identify missing context, communication patterns, and opportunities for clarification. 4. Mediation, Coaching, Student Services, Organizational Consulting, or Related Advisory Fields Relevant professional qualification, credential, or demonstrated subject-matter expertise. At least 5 years of direct advisory or client-facing experience for candidates qualifying through this pathway. Experience in coaching, mediation, student advising, organizational consulting, or comparable professional work. Demonstrated ability to gather context, understand individual or organizational needs, and provide informed recommendations.

Location: Serbia; Croatia; Greece; Malaysia; Morocco; South Africa About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking experienced Subject Matter Experts (SMEs) from psychology, social work, counseling, qualitative research, human-computer interaction (HCI), communication, conflict resolution, coaching, and related advisory fields to support AI conversation evaluation research. You will review conversations between people and AI models, assess whether the AI gathered sufficient context before making recommendations, identify missed opportunities for clarification, and provide structured feedback to improve conversational quality. The ideal candidate has at least 3–5 years of relevant professional experience, strong analytical and interviewing skills, and the ability to distinguish essential, decision-changing information from details that are less relevant to a recommendation. Key Responsibilities Review AI conversations involving interpersonal relationships, workplace situations, education, family matters, everyday planning, wellbeing, and other real-world decisions. Evaluate whether the AI gathered sufficient context before providing advice, recommendations, or proposed solutions. Identify missing information and suggest relevant follow-up questions that could improve the quality of the AI's response. Assess whether additional context would materially change the recommendation or decision. Distinguish between load-bearing information that could change the outcome and non-essential or merely descriptive details. Conduct qualitative reviews using structured evaluation guidelines and document findings consistently. Identify missed opportunities for clarification, contextual understanding, and information gathering. Consider relevant personal, psychological, social, financial, practical, and organizational factors when evaluating conversations. Collaborate with research teams to maintain consistent evaluation standards and high-quality assessments. Complete assigned tasks accurately within the required project timelines. Requirements Candidates must have at least 3–5 years of direct professional experience in one or more of the following domains. 1. Licensed Social Work Master's degree in Social Work (MSW) or an equivalent graduate-level qualification. LCSW, LICSW, LMSW, or an equivalent applicable social work credential or license. Experience in client assessment, case review, interviewing, counseling, or related social-work practice. 2. Counseling, Therapy, or Psychology Master's degree in a relevant discipline with an LMFT, LPC, LCPC, or equivalent counseling or therapy credential; or PhD or PsyD in Clinical, Counseling, Social, or Industrial-Organizational Psychology. Relevant experience in counseling, therapy, psychological assessment, interviewing, case review, or other client-facing professional work. 3. Qualitative Research, HCI, or Communication MA, PhD, or equivalent advanced expertise in Human-Computer Interaction, Communication, Anthropology, Sociology, Qualitative Research, or a closely related discipline. Experience conducting qualitative research, interviews, user research, conversation analysis, thematic analysis, qualitative coding, or similar research activities. Ability to analyze conversations systematically and identify missing context or patterns in human communication. 4. Mediation, Coaching, Student Services, Organizational Consulting, or Related Advisory Fields Relevant professional qualification, credential, or demonstrated subject-matter expertise. At least 5 years of direct advisory or client-facing experience for candidates qualifying through this pathway. Experience in coaching, mediation, student advising, organizational consulting, or comparable professional work. Demonstrated ability to gather context, understand individual or organizational needs, and provide informed recommendations.

Location: Brazil; Mexico; Argentina; Colombia; Poland; Romania About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking experienced Subject Matter Experts (SMEs) from psychology, social work, counseling, qualitative research, human-computer interaction (HCI), communication, conflict resolution, coaching, and related advisory fields to support AI conversation evaluation research. You will review conversations between people and AI models, assess whether the AI gathered sufficient context before making recommendations, identify missed opportunities for clarification, and provide structured feedback to improve conversational quality. The ideal candidate has at least 3–5 years of relevant professional experience, strong analytical and interviewing skills, and the ability to distinguish essential, decision-changing information from details that are less relevant to a recommendation. Key Responsibilities Review AI conversations involving interpersonal relationships, workplace situations, education, family matters, everyday planning, wellbeing, and other real-world decisions. Evaluate whether the AI gathered sufficient context before providing advice, recommendations, or proposed solutions. Identify missing information and suggest relevant follow-up questions that could improve the quality of the AI's response. Assess whether additional context would materially change the recommendation or decision. Distinguish between load-bearing information that could change the outcome and non-essential or merely descriptive details. Conduct qualitative reviews using structured evaluation guidelines and document findings consistently. Identify missed opportunities for clarification, contextual understanding, and information gathering. Consider relevant personal, psychological, social, financial, practical, and organizational factors when evaluating conversations. Collaborate with research teams to maintain consistent evaluation standards and high-quality assessments. Complete assigned tasks accurately within the required project timelines. Requirements Candidates must have at least 3–5 years of direct professional experience in one or more of the following domains. 1. Licensed Social Work Master's degree in Social Work (MSW) or an equivalent graduate-level qualification. LCSW, LICSW, LMSW, or an equivalent applicable social work credential or license. Experience in client assessment, case review, interviewing, counseling, or related social-work practice. 2. Counseling, Therapy, or Psychology Master's degree in a relevant discipline with an LMFT, LPC, LCPC, or equivalent counseling or therapy credential; or PhD or PsyD in Clinical, Counseling, Social, or Industrial-Organizational Psychology. Relevant experience in counseling, therapy, psychological assessment, interviewing, case review, or other client-facing professional work. 3. Qualitative Research, HCI, or Communication MA, PhD, or equivalent advanced expertise in Human-Computer Interaction, Communication, Anthropology, Sociology, Qualitative Research, or a closely related discipline. Experience conducting qualitative research, interviews, user research, conversation analysis, thematic analysis, qualitative coding, or similar research activities. Ability to analyze conversations systematically and identify missing context or patterns in human communication. 4. Mediation, Coaching, Student Services, Organizational Consulting, or Related Advisory Fields Relevant professional qualification, credential, or demonstrated subject-matter expertise. At least 5 years of direct advisory or client-facing experience for candidates qualifying through this pathway. Experience in coaching, mediation, student advising, organizational consulting, or comparable professional work. Demonstrated ability to gather context, understand individual or organizational needs, and provide informed recommendations.

Location: Philippines; Makati City, Philippines; Taguig City, Philippines; Pasay City, Philippines Top 3 Reasons To Join Us 100% Remote International Environment Working on the latest tech for the Insurtech Market Leader About Us At CoverGo, our mission is to empower all insurance companies to make insurance 100% digital and accessible to everyone. We are a leading global no-code insurance platform for health, life, and P&C We’re the winner of the Insurtech of the Year in all of Asia and other awards globally We work with insurance enterprise clients such as AXA, Bupa, MSIG, Dai-ichi, Bank of China Group Insurance, and many more We're an international, diverse team of over 120 people with 30 nationalities and team members working remotely from all over the world We are fully funded and backed by reputable VC funds and strategic institutional investors We have a global presence in Asia, EMEA and the Americas We’ve grown our annualized revenue by over 30x since January 2021 We’re constantly working towards making CoverGo a workplace that you love coming to. We deeply believe that bringing together a diversity of thoughts, expressions, and perspectives is key to building the best culture for equally diverse communities all over the world What You Will Do Perform manual testing on new technologies Identify and resolve simple quality process issues with little to no supervision and guidance Write tests scenarios and run them during the testing process Identify bugs and report it according to bug template with sufficient detail so that developers can investigate further Perform API testing using tools like Postman or Swagger to validate request/response behavior Report status to cross-functional teams Execute on defined tasks according to guidelines and contribute to solving problems with defined solutions Provide support with the team proactively Mastering your craft and leveraging it for greater impact What We Need At least 4 years of experience in using manual testing tools and procedures in an agile environment Hands-on experience in manual API testing (e.g., using Postman, Swagger, or similar tools), including validating endpoints, status codes, and response payloads Deep understanding of QA theory Good level of understanding of the software development life cycle and lean/agile QA methodologies Enjoy working in a group and collaborating with cross-functional teams to get things done Good communication in English is a must Continuous learning of innovative approaches to testing and best-practices around it Share new ideas and can adapt to work when circumstances change Why You'll Love Working Here Competitive renumeration package International Environment Paid annual leaves Health Insurance Annual Performance Bonus Remote Work Allowance Anniversary Bonus Company activities and events Learning and development plan CoverGo Company Video By submitting your application, you confirm that you have read, understood, and accepted the content of CoverGo’s Privacy Notice and you consent to the processing of your data as part of this application.

Location: Warsaw, Poland; Pakistan; Bulgaria Top 3 Reasons To Join Us Competitive Salary International Environment Working on the latest tech for the Insurtech Market Leader About Us At CoverGo, our mission is to empower all insurance companies to make insurance 100% digital and accessible to everyone. We are a leading global no-code insurance platform for health, life, and P&C We’re the winner of the Insurtech of the Year in all of Asia and other awards globally We work with insurance enterprise clients such as AXA, Bupa, MSIG, Dai-ichi, Bank of China Group Insurance, and many more We're an international, diverse team of over 120 people with 30 nationalities and team members working remotely from all over the world We are fully funded and backed by reputable VC funds and strategic institutional investors We have a global presence in Asia, EMEA and the Americas We’ve grown our annualized revenue by over 30x since January 2021 We’re constantly working towards making CoverGo a workplace that you love coming to. We deeply believe that bringing together a diversity of thoughts, expressions, and perspectives is key to building the best culture for equally diverse communities all over the world About the Role As the Lead Full Stack Engineer, you will take on a pivotal role in guiding the design, implementation, and maintenance of our innovative SaaS platform. You will provide technical direction to the team, working across both front-end and back-end technologies, ensuring scalable and efficient software solutions. Collaborate closely with cross-functional teams to understand end-user requirements, optimize application performance, and enforce best coding practices. Your role will encompass mentoring junior developers, driving innovation, and ensuring the continuous growth and success of our platform. What You Will Do Lead the design, implementation, and maintenance of our insurance enterprise software solutions, providing technical direction to the team. Demonstrate expertise in both front-end and back-end technologies, offering guidance on technology selection, architecture, and best practices. Collaborate with product, design, and engineering teams to understand requirements and technical concepts, ensuring cohesive and effective solutions with a seamless user experience. Optimize platform performance to handle large datasets and high user traffic, ensuring a smooth and responsive user experience. Conduct and lead code reviews, enforce best coding practices, and drive the adoption of standards to maintain high code quality. Investigate and promptly address bugs to uphold platform reliability. Ensure security and compliance by following best practices for securing web applications and adhering to relevant regulations. Stay abreast of the latest technologies, frameworks, and best practices, guiding the team in remaining competitive and innovative. Design the platform with scalability and flexibility, accommodating evolving features and changes as the user base grows. Provide mentorship and technical leadership to junior developers, fostering their growth and contribution to the team's objectives. What We Need Proven experience of 8+ years as a Full Stack Engineer, with a track record of leading complex SaaS applications. Minimum 2 years in a lead/manager role, able to guide and ensure development of teams Strong technical background with proficiency in back-end technologies, such as .NET Core, C#, GraphQL, MongoDB, Docker Proficiency in front-end technologies such as Javascript, Vue.js and/or React.js Familiarity with cloud platforms like AWS, Azure, or Google Cloud for building scalable applications Experience with microservices and/or clean architecture Thorough understanding and practical experience with Test-Driven Development (TDD) to ensure robust and well-tested code Experience with unit, integration and function testing using front-end and back-end testing libraries Proficiency in Domain-Driven Design (DDD) principles to create a maintainable and modular architecture that aligns with business domains In-depth knowledge of web security best practices and experience in ensuring compliance with industry regulations Demonstrated experience in performance optimization for high-traffic web applications Experience with container technologies like docker and good understanding of cloud infrastructure and solutions. Experience with agile development methodologies and collaborating with cross-functional teams Excellent problem-solving skills and a proactive approach to troubleshooting and bug fixing Strong communication skills to effectively interact with both technical and non-technical team members with diverse backgrounds A passion for staying updated with the latest trends, technologies, and best practices in software development Why You'll Love Working Here International Environment Competitive remuneration package 15 Days Annual Leave Annual Performance Bonus Stock Options after 6 months Company activities and events CoverGo Company Video By submitting your application, you confirm that you have read, understood, and accepted the content of CoverGo’s Privacy Notice and you consent to the processing of your data as part of this application.

Location: Ukraine; Romania; Cyprus Intetics Inc., a leading American technology company specializing in custom software application development, distributed professional teams creation, software product quality assessment, and “all-things-digital” solutions, is looking for a Senior WordPress Developer to join its innovative team. Project Responsibilities Build and maintain custom themes, plugins, and Gutenberg blocks across a portfolio of high-traffic, multilingual WordPress sites Develop and maintain libraries, block collections, Composer packages, and tooling that accelerate delivery across teams Own quality and performance: refactor legacy code, optimize queries and caching, and improve Core Web Vitals metrics Build and consume REST APIs and integrations with internal and third-party systems Take part in code reviews, CI/CD improvements, and engineering standards initiatives Collaborate with product, marketing, SEO, content, and QA teams on new features and site improvements Document technical decisions and contribute to engineering best practices Ensure software development best practices and timely product delivery Candidate's Portrait We're looking for a Senior WordPress Developer who treats WordPress as a modern engineering platform rather than a traditional CMS. You'll help build and scale high-traffic multilingual web platforms while maintaining high standards of performance, security, scalability, and code quality. The ideal candidate cares about architecture as much as feature delivery and writes code that other developers are happy to maintain. Must-haves: 5+ years of WordPress development experience Strong Object-Oriented PHP (8.x) skills Experience with namespaces, PSR standards, and Composer Deep knowledge of WordPress Core APIs Strong understanding of hooks, custom post types, taxonomies, WP_Query, and metadata APIs Experience with ACF Pro and native custom fields Solid production experience building Gutenberg blocks React and JSX development experience Experience with block.json and @wordpress/scripts Strong modern JavaScript (ES6+) Experience with Webpack or Vite Modern CSS development (Sass, PostCSS) Experience designing and building RESTful APIs Experience creating custom WordPress REST endpoints Strong understanding of WordPress security best practices Experience with sanitization, escaping, nonces, and user capabilities WordPress performance optimization expertise Object caching and query optimization experience Comfortable with Git-based workflows, pull requests, and CI/CD pipelines Experience working in AI-assisted development environments (Copilot, Cursor, Claude Code, etc.) Good written and spoken English Nice-to-have: Block Themes Full Site Editing (FSE) theme.json WordPress Interactivity API Bedrock or similar Composer-based WordPress structures PHPUnit Playwright PHPStan PHPCS / WPCS Timber / Twig Blade templating WordPress Multisite WPML Polylang Headless WordPress WPGraphQL Next.js Accessibility (WCAG 2.2) Technical SEO Experience with enterprise content platforms Experience with high-traffic web applications

Location: Ukraine; Romania; Slovakia; Cyprus Intetics Inc., a leading American technology company specializing in custom software application development, distributed professional teams creation, software product quality assessment, and “all-things-digital” solutions, is looking for a Senior Full-Stack PHP Developer (Laravel + React/Vue) to join its innovative team. Project Responsibilities Build and maintain scalable, full-stack web applications using Laravel on the back end and React/Vue on the front end Contribute to architecture decisions for applications built to scale: service design, data modeling, caching, and queue-based processing Design and build RESTful APIs and integrations with internal and third-party systems Develop reusable Laravel packages and front-end components shared across projects Own quality and performance: refactor legacy code, optimize queries, and improve response times Write automated tests and take part in code reviews and CI/CD improvements Document technical decisions, APIs, and specifications Work with product, design, QA, and engineering teams to scope and deliver features Ensure software development best practices and timely delivery of product functionality Candidate's Portrait We're looking for a full-stack developer who owns features end to end, from database design and APIs to the React/Vue interface users actually interact with. You'll build and scale business-critical web applications, working closely with product, design, and QA teams to transform requirements into reliable, maintainable, and high-performing software. We value engineers who understand the bigger picture, question unclear requirements early, and care about long-term maintainability as much as delivery. Must-haves 5+ years of professional experience with modern OOP PHP (8.x) 3+ years of hands-on experience with Laravel Strong knowledge of the Laravel ecosystem: Eloquent, Queues, Jobs, Events, Service Container, Middleware, Authentication 3+ years of production experience with React or Vue Strong TypeScript and modern JavaScript skills Experience designing RESTful APIs, including authentication, validation, and error handling Solid SQL skills (MySQL or PostgreSQL) Experience with schema design, indexing, and query optimization Hands-on experience with Redis and queue-based architectures Experience with automated testing (PHPUnit, Pest, Jest, Vitest, or Playwright) Comfortable with Git-based workflows, pull requests, and CI/CD pipelines Experience working in AI-assisted development environments (Copilot, Cursor, Claude Code, etc.) Strong analytical and problem-solving skills Good written and spoken English Nice-to-have Inertia.js, Livewire, or Next.js/Nuxt Tailwind CSS Docker and cloud infrastructure (AWS, Forge, Vapor) Static analysis tools (PHPStan, Larastan) Code quality and formatting tools (Pint) Real-time features (WebSockets, Reverb) RabbitMQ or other message brokers Microservices architecture experience Experience with event platforms Experience with ticketing systems Experience with payment integrations (Stripe, PayPal)

Разработка и настройка no-code роботов; Разработка и настройка бизнес-процессов обзвона;

Опыт в DevOps: Опыт работы от 2–3 лет в эксплуатации высоконагруженных (Highload) распределенных ИТ-систем. Поддержание надежности (SRE): Обеспечение отказоустойчивости (High Availability) сквозных потоков данных (Data Flow) от распределенных систем банка до целевых хранилищ платформы мониторинга.

Проектирование и разработка control-plane компонентов платформы на Python/Go: API эндпоинтов, сервисов управления состояниями, планировщиков асинхронных операций. Разработка и поддержка агентов автоматизации жизненного цикла бэкапов PostgreSQL-кластеров:

Мы ищем специалиста, который возьмёт на себя digital-направление компании: сайты, поиск и GEO, рекламу, продвижение на площадках клиентов и отзывы. Стратегия и планирование.

Декомпозировать существенные доработки системы на подзадачи; Реализовывать новый функционал в рамках сформулированных задач, требований и принятых в команде стандартов;

Разрабатывать и поддерживать автотесты на Java 21 + JUnit (REST API + интеграции через Kafka). Анализировать требования, писать тест-кейсы, чек-листы, тест-планы в Jira/Confluence.

развивать стенд, на котором мы проходим путь ДЗО раньше самих ДЗО: развёртывание целиком через AEF Operator, агенты разных типов, контроллер трейсов на стороне клиента. настраивать сеть и service mesh: Istio (сайдкары, шлюзы, mTLS, выход наружу только через egress-шлюз), политики Cilium, изоляцию агентов по namespace.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Reinforcement learning is how Claude learns to reason, write code, and act autonomously over long horizons. At frontier scale, an RL run is a large distributed system: training, sampling, and environment execution run concurrently across a large fleet of accelerators and hosts. As an engineer in RL Engineering, you'll work on keeping that system secure as it scales. This is a hands-on engineering role. You'll work in the RL codebase and the infrastructure underneath it, alongside the engineers and researchers who build and use it. The system is large and changes as fast as the research does, so security work here has to keep up with that pace without costing performance or velocity. We're hiring from two backgrounds: security engineers who want to work on large-scale ML systems, and ML systems or research engineers who want to work on security. Strong candidates have depth in one and real interest in the other. Key responsibilities Design, build, and operate security controls for RL training systems and the infrastructure they run on Work across the stack (orchestration, environments, training, inference) wherever the work is needed Review designs and code across the RL stack, find security problems, and fix them Build shared libraries and tooling that other RL engineers and researchers build on Build the observability needed to understand what these systems are doing Work with researchers and performance engineers to make sure security changes preserve training correctness and performance Write clear design documents for what you build Minimum qualifications Strong software engineering skills in Python and at least one systems language such as Rust, C++, or Go Experience designing, building, and operating large-scale distributed systems or security systems in production Strong understanding of security fundamentals Working knowledge of Linux, containers, and cloud infrastructure Experience debugging complex problems across many hosts and services Ability to reason about tradeoffs between security, performance, and reliability Strong written communication, including design documents Preferred qualifications Experience running ML training or inference infrastructure at scale Experience with infrastructure security, such as isolation, access control, networking, or identity Experience with container orchestration such as Kubernetes, and with sandboxed or virtualized code execution at scale Experience building observability for large fleets Experience supporting research teams or other fast-moving internal users Familiarity with reinforcement learning or large language model training workloads The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Sales Development Manager for Enterprise at Anthropic, you will lead the team that opens our most strategic customer relationships. You'll build and manage a team of 6-10 Business Development Representatives (BDRs) who generate high-value pipeline inside complex enterprise organizations through account-based prospecting, multi-threaded outreach, and rigorous qualification. Enterprise buying is long and involves many stakeholders. The work here is less about volume and more about depth: knowing an account well enough to reach the right people with the right message, and staying with it long enough to turn early conversations into real opportunities. You'll bring a strong understanding of enterprise sales cycles and organizational dynamics, and you'll coach your team to develop strategic accounts over time. You'll partner closely with Enterprise Account Executives and with leaders across Sales, Revenue Operations, Strategy, and Marketing. You'll also develop the next generation of Anthropic's enterprise sellers, helping BDRs grow into Account Executive roles while they help the world's largest organizations adopt safe, frontier AI. Key responsibilities Build, lead, and scale a team of BDRs focused on the Enterprise segment Drive strategic pipeline generation through account-based prospecting and targeted outbound campaigns to Global 2000 accounts Coach your team on partnering with Enterprise Account Executives to develop account plans, coordinate multi-threaded outreach, and ensure high-quality opportunity handoffs Establish and track KPIs focused on opportunity quality, deal size, and strategic account penetration Coach and model for your team on enterprise prospecting, stakeholder mapping, and complex qualification Build a deep understanding of enterprise buying processes, and coach the team on navigating procurement, legal, and security requirements Own pipeline reviews with sales leadership covering enterprise pipeline health, account penetration, and competitive positioning Build strong relationships with cross-functional leaders and partners across Sales, Revenue Operations, Strategy, and Marketing Coach and mentor BDRs on strategic prospecting, executive engagement, and career development toward Account Executive roles Minimum qualifications Experience managing BDR, SDR, or new business Account Executive teams in an enterprise-focused sales organization A track record of building teams that prospect successfully into complex enterprise organizations Experience with account-based selling strategies, including account planning, stakeholder mapping, and multi-threaded outreach Hands-on proficiency with a CRM and sales engagement tooling (e.g., Salesforce, LinkedIn Sales Navigator, or similar), and the analytical skills to design prospecting systems and measure pipeline quality Demonstrated ability to coach representatives on navigating complex organizational structures and multi-stakeholder deals Clear written and verbal communication, including the ability to engage executive-level stakeholders An understanding of Anthropic’s products, ecosystem, and hands on building experience with LLMs Excitement about Anthropic's mission to develop AI that is safe and beneficial Preferred qualifications Personal closing experience as an Account Executive, Account Manager, ideally in a management role Experience managing teams that prospect into Fortune 500 or Global 2000 accounts A track record of developing BDRs who move successfully into enterprise Account Executive roles Experience building enterprise prospecting playbooks where none existed Hands-on experience with Claude, Claude Code, or other AI prospecting tools, and with sales tools such as Apollo and HubSpot Experience in API-first, consumption-based, or platform business models Background in AI or machine learning, cloud infrastructure, or developer platforms Familiarity with enterprise procurement, security review, and legal processes The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $285,000 — $350,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote: United States; San Francisco HQ; Remote: Canada 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 Billing is mission-critical to Render’s success. Every service, database, and workload that runs on Render ends up on an invoice, and customers trust us to get that invoice right. As Senior Engineering Manager for the Billing team, you’ll lead the organization that makes sure customers are billed accurately, reliably, and transparently as Render scales. You’ll set the multi-quarter strategy and own the technical direction, people, and execution behind Render’s usage-based billing systems: how usage is captured, how it flows through our data pipelines and third-party billing platforms, and how it lands as a correct charge. You’ll be Engineering’s senior partner to Finance, Product, and Customer Experience leadership, turning pricing, reporting, and customer needs into a roadmap your team can ship. This role is for a seasoned technical leader who wants to build the organization, the leaders, and the systems that keep billing right as usage, pricing, and our customer base keep growing. What You’ll Do - Lead and grow the Billing engineering team, which owns how Render turns platform usage into accurate charges: usage capture, data pipelines, third-party billing platforms (Orb, Metronome, Stripe, or similar), and invoicing - Own the roadmap for Render’s billing systems, from usage metering through invoicing, reconciliation, and financial reporting - Drive billing correctness and reliability: build the monitoring, reconciliation, and testing that catch errors before customers do - Partner with Finance, Product, and Customer Experience to align the roadmap with pricing, reporting, and customer needs - Hire and develop engineers to support planned team growth, while keeping the team’s focus clear as billing scope expands - Make key architectural decisions, balancing long-term billing platform investment against near-term pricing launches and fixes - Build a strong performance management and career development practice for a team that includes senior ICs What We’re Looking For - Strong people leadership — the top priority for this role - Hands-on enough to review code, prototype, and contribute directly when it helps the team - Comfort operating in ambiguity, with adaptability and a growth mindset - Proven experience building and scaling teams, ideally growing a group from a handful of engineers into a larger org - Experience managing engineers; including senior and staff engineers; hiring, and performance management - Hands-on experience with usage-based billing, payments, or other revenue-critical systems, including third-party platforms like Orb, Metronome, or Stripe - Ability to partner closely with Finance, Product, and Customer Experience without needing to fill those functions yourself - Strong business instincts, with the ability to connect engineering investment to billing accuracy, revenue, and customer trust - Background from either a startup or a larger company is fine. What matters is experience and ability to operate in a fast-paced environment Nice-to-Haves - Experience leading a billing platform migration or a pricing model change. - Familiarity with financial reconciliation and reporting processes. - Background in distributed systems or event-driven architectures. - Experience building for developer platforms, cloud infrastructure, or DevTools. 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