Вакансии

Location: Philippines REMOTE (WFH) | FULL-TIME | 9PM-6AM PHT (FIXED SCHEDULE) Neolytix is looking for a Healthcare Associate who already knows the prior authorization world inside and out  — in a healthcare BPO, a hospital, a clinic, a payer-services team, or a revenue cycle department — and can step in already knowing how the work goes. WHAT YOU WILL DO: Own the authorization lifecycle Submit authorization requests through payer portals and other approved channels, and track them through to resolution. Collect and validate clinical documentation and patient information needed to support each request. Manage payer follow-up, status tracking, escalations, and deadlines so nothing slips through the cracks. Support peer-to-peer reviews, denials, reconsiderations, and appeals when a request needs a second look. Navigate the systems that keep care moving Work confidently across EHR/EMR systems, payer portals, communication tools, and multi-queue work environments. Enter data accurately, spot errors before they become problems, complete forms correctly the first time, and keep documentation audit-ready. Take inbound calls from healthcare professionals — nurses, physicians, and office staff — with authorization-related questions, and professionally assist insurance members who need help or clarification. Explain billing, benefits, and account details to callers clearly and professionally, verifying caller and account information against records before processing any request. Keep the queue under control Manage a high-volume, multi-queue workload with strong organization, time prioritization, and SLA awareness. Document every interaction completely and accurately, and resolve issues patiently — including with callers who need extra time or a simpler explanation. Maintain confidentiality and professionalism at all times, and complete required HIPAA and security training. WHY APPLY? Gain a meaningful work, as you're the person standing between a patient and the care they need. This is a role built around the skills you already have. If prior authorization is a language you already speak fluently, we'd love to hear from you!

Location: Costa Rica Company: Angel City VA Position: Call Center Agent - Insurance Verification and Medical Scheduler Location: Remote (Preferably LATAM) Type: Full-Time, Long-Term Position Schedule: 9:30 AM to 6:00 PM PST Pay Rate: $7 per hour About Us: Angel City VA is dedicated to providing exceptional support services to our clients. We are currently looking for a dedicated Call Center Agent specializing in insurance verification and medical scheduling to join our team. If you are bilingual in English and Spanish, have a strong background in insurance and scheduling, and are seeking a long-term role, we want to hear from you! Key Responsibilities: Conduct insurance verifications efficiently and accurately. Schedule medical appointments and manage scheduling conflicts. Handle inbound and outbound calls professionally. Provide excellent customer service to patients and healthcare providers. Maintain detailed and organized records of interactions and transactions. Requirements: Experience: Must have prior experience in insurance verification and medical scheduling. Language: Must be fluent in both English and Spanish. Availability: Must be available to work full-time from 9:30 AM to 6:00 PM PST. This position requires full commitment; candidates cannot have a second job. Long-Term Commitment: We are looking for candidates who are interested in a long-term position, not short-term employment. What We Offer: Competitive pay rate of $7 per hour. Opportunity to work with a dynamic and supportive team. Long-term employment with room for growth and development. If you meet the above requirements and are ready to embark on a long-term career with us, please send your resume and a brief cover letter detailing your experience and why you would be a great fit for this role to [email address]. Angel City VA is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Apply today and take the next step in your career with Angel City VA!

Location: Dominican Republic Company: Angel City VA Position: Call Center Agent - Insurance Verification and Medical Scheduler Location: Remote (Preferably LATAM) Type: Full-Time, Long-Term Position Schedule: 9:30 AM to 6:00 PM PST Pay Rate: $7 per hour About Us: Angel City VA is dedicated to providing exceptional support services to our clients. We are currently looking for a dedicated Call Center Agent specializing in insurance verification and medical scheduling to join our team. If you are bilingual in English and Spanish, have a strong background in insurance and scheduling, and are seeking a long-term role, we want to hear from you! Key Responsibilities: Conduct insurance verifications efficiently and accurately. Schedule medical appointments and manage scheduling conflicts. Handle inbound and outbound calls professionally. Provide excellent customer service to patients and healthcare providers. Maintain detailed and organized records of interactions and transactions. Requirements: Experience: Must have prior experience in insurance verification and medical scheduling. Language: Must be fluent in both English and Spanish. Availability: Must be available to work full-time from 9:30 AM to 6:00 PM PST. This position requires full commitment; candidates cannot have a second job. Long-Term Commitment: We are looking for candidates who are interested in a long-term position, not short-term employment. What We Offer: Competitive pay rate of $7 per hour. Opportunity to work with a dynamic and supportive team. Long-term employment with room for growth and development. If you meet the above requirements and are ready to embark on a long-term career with us, please send your resume and a brief cover letter detailing your experience and why you would be a great fit for this role to [email address]. Angel City VA is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Apply today and take the next step in your career with Angel City VA!

Location: Colombia Company: Angel City VA Position: Call Center Agent - Insurance Verification and Medical Scheduler Location: Remote (Preferably LATAM) Type: Full-Time, Long-Term Position Schedule: 9:30 AM to 6:00 PM PST Pay Rate: $7 per hour About Us: Angel City VA is dedicated to providing exceptional support services to our clients. We are currently looking for a dedicated Call Center Agent specializing in insurance verification and medical scheduling to join our team. If you are bilingual in English and Spanish, have a strong background in insurance and scheduling, and are seeking a long-term role, we want to hear from you! Key Responsibilities: Conduct insurance verifications efficiently and accurately. Schedule medical appointments and manage scheduling conflicts. Handle inbound and outbound calls professionally. Provide excellent customer service to patients and healthcare providers. Maintain detailed and organized records of interactions and transactions. Requirements: Experience: Must have prior experience in insurance verification and medical scheduling. Language: Must be fluent in both English and Spanish. Availability: Must be available to work full-time from 9:30 AM to 6:00 PM PST. This position requires full commitment; candidates cannot have a second job. Long-Term Commitment: We are looking for candidates who are interested in a long-term position, not short-term employment. What We Offer: Competitive pay rate of $7 per hour. Opportunity to work with a dynamic and supportive team. Long-term employment with room for growth and development. If you meet the above requirements and are ready to embark on a long-term career with us, please send your resume and a brief cover letter detailing your experience and why you would be a great fit for this role to [email address]. Angel City VA is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Apply today and take the next step in your career with Angel City VA!

Location: Anywhere in France, Belgium, Spain HEALTH CAN’T WAIT. Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t. Alan exists to end the wait. Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way. So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience. We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR. Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond. ⭐ THE ENGINEERING TEAM ⭐ In our engineering team, we build the infrastructure, interfaces, and applications to provide first-class service to our members, health professionals, and even ourselves! Being an engineer at Alan means joining a team of talented, committed and passionate engineers, with a lot of product interaction. We move fast, with a lot of ownership, and are proud to tackle big problems! Our process is very simple: those who make product decisions are the same ones who build them. Want to know more? Read this article https://blog.alan.com/tech-et-produit/engineering-organisation-at-alan if you want to discover how life as an Engineer at Alan and this article https://medium.com/alan/engineering-career-path-at-alan-e5de5c2e740c on our Engineering career pat 🛠️ THE STACK Python services on FastAPI, async SQLAlchemy and PydanticAI, Temporal for durable execution, PostgreSQL, MCP, Daytona sandboxes, various LLM model providers, Terraform on AWS, React with Vite. Our main backend is a Flask monolith. We deploy daily and believe in distributed ownership: you build it, you own it. 🤖 THE AGENTIC PLATFORM AREA In 2027, we expect to run more AI agents than we have employees. Agents already do real work at Alan. They answer members' health questions, resolve support requests, read medical documents, detect fraud, automate operational tasks, and write a large share of our code. But every team building an agent ends up solving the same hard problems again: how to call models safely with health data, how to give an agent tools and the right permissions, how to know whether a prompt change made it better or worse, how to debug what it did. The result: several agent frameworks and evaluation stacks, each with its own security and compliance story. The Agentic Platform area was created to fix that. Our mission: make it cheap, fast and safe for every Alaner or crew to build, run and improve agentic products and workflows. We own the environment agents run in (infrastructure, runtime, evaluation, observability, skills lifecycle), with security, privacy and compliance by design, and the generalist products on top: Hopper and the Agent Studio. Product teams and all Alaners own their agents, skills, and their outcomes. We give them the paved road. Two crews, one team: - Hopper is every Alaner's AI companion. Five months after it started, 80% of Alaners use it, 3k sessions are created each day, and about 30% of our pull requests are opened from it (watch how we built it https://www.youtube.com/watch?v=hAu7Ngfd0ys). - AI Product Platform builds the shared blocks every AI product at Alan runs on. For instance, our ops teams now build agents autonomously on our Ops AI Platform (read how https://medium.com/alan/how-we-bootstrapped-an-ai-agents-platform-for-operations-at-alan-fefd87ed6314, watch the talk https://www.youtube.com/watch?v=_pg1ij8k5Rw). 🧩 PROBLEMS YOU'LL ONLY FIND HERE Run agents at scale - 🧠 One runtime for every AI product. A shared agent framework, from a single model call to multi-agent workflows with live streaming, and one gateway to every model: routing, failover across providers, quotas and cost per use case built in. - ⏳ Agent sessions that last for hours. Durable sessions, started from the web, Slack, Linear or GitHub, that survive pod restarts and deploys, and pick up exactly where they left off. - 📦 Sandboxes at scale. An isolated environment for every agent session and every evaluation, on an infrastructure compliant with sensitive data, with negligible boot overhead. Make agents trustworthy and proactive - 🔌 One tool gateway to the whole company. An MCP gateway that connects agents to internal tools and data, external services, computer use, managing identity and credentials. - 🔐 Agents safely acting on critical data. We give each agent no more than the access it needs. Every tool call goes through identity, permissions, confirmations and audit. No sensitive data leaks. - 🧪 Evals you can replay in time. Re-run an agent or skill against production as it was at a past point in time, on real data, safely isolated. Anyone can ship knowing their change is an improvement rather than a regression. - 🔁 Agents and skills that proactively fix themselves. Every run is traced, and every human correction, failed tool call or escalation becomes a prioritized fix that Hopper can apply. Put agents in everyone's hands - 📚 Skills as a product. A registry where Alaners and teams publish, share and version their skills, so that nothing needs to be repeated twice. - ✨ AI that non-engineers can own. Alaners who ship code through Hopper, Operators or Sales who build their own agents or skills in our Studio and operate them from their day-to-day tools. - ⏰ Automations and artifacts. Agents that run on a schedule or on an event, and build the dashboards and hosted sites that become the go-to places for collaboration. ⭐ IS IT YOU WE’RE LOOKING FOR? What you'll do - Own some of the problems above end to end, from design to production, with significant influence on architecture and code quality - Work closely with the people who use what you build: Alaners, product teams, ops - Own reliability, cost and security in production - Mentor engineers, contribute to our product and engineering culture, and help build the team Experience we value - 3+ years in software engineering, with solid backend fundamentals - Platform-leaning or product-leaning: both are welcome. Depth in at least one of: distributed systems and runtimes, evaluation and data quality, security and authorization, product UX - A good sense of user and developer experience, whatever you build - You built products, platforms or infrastructure used by other people - Experience with LLM APIs, agent frameworks, evals or MCP is a strong plus; ML or MLOps experience is a plus Mindset we value - You measure success by adoption, not by what is available - You make concrete tradeoffs between speed, reliability, cost, security and user experience - You simplify complexity with clear abstractions and maintainable code - You care about whether people can understand and verify what an AI system did - You keep up with the latest AI technology and know the open-source AI ecosystem - Self-directed, pragmatic, humble, collaborative, enthusiastic about learning and teaching - Excited about AI changing who can build, investigate and automate work Above all, we look for high potential and curiosity: make sure to show us this when you apply. Everything else is a bonus. You should be fluent in English (no French required). 🌍 HOW WE WORK - Location: you must be legally eligible to work in France, Belgium, or Spain. - Remote work: we offer remote work flexibility, but we value in-person collaboration. 🙌 PERKS & BENEFITS https://alan.com/en/careers/a/salary-equity At Alan, we believe that being in good health is a basic need, and it starts with our employees. This is why Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers. Therefore, we offer: - Fair rewards. Generous equity packages complement your base salary. - Flexible Office. Amazing office space at our HQ, sponsored co-working hubs or a full-remote experience with home office equipment sponsorship, we want you to live where you’re the happiest. - All the tools you need. Top of the range equipment: Macbook Pro, keyboard, laptop stand, monitor, and noise-canceling headphones. - Flexible vacation policy and flexible working hours. Organize your time as you wish. - Delightful healthcare insurance: Extremely comprehensive health insurance - 100% for you and your children, 90-100% for partners depending on your country (permanent contracts only). - Transport. Country-specific commuter benefits. - Learning & Training opportunities. A highly flexible Training policy free books and budget to attend and speak at conferences if the opportunity arises. - Personal growth through coaching: At Alan, coaching isn't just a perk - it's core to who we are. Every Alaner is paired with a dedicated coach from day one, who helps maximize their impact, nurture engagement, and navigate Alan's values to develop their full potential. Learn more about our coaching culture https://alan.com/en/blog/discover-alan/a/alan-culture-excellence-through-coaching. - Parental leave. Extended parental leave for all new parents.   IMPORTANT NOTE: WE HIRE PEOPLE, NOT ROLES. If you're excited about this opportunity but don't check every box, we'd love to hear from you. Everyone, no matter how underrepresented, should feel free to apply as it can only bring learnings or success. If you identify yourself as a woman: Did you know that research shows women often apply only when meeting 100% of requirements? Remember, this is just a guide, not a checklist. We'll be thrilled to receive your application! 🔖 Check out our About Alan https://alan.com/about and Career https://alan.com/careers pages, as well as our Medium https://medium.com/alan, blog https://blog.alan.com/ and Glassdoor page https://www.glassdoor.com/Overview/Working-at-Alan-EI_IE1696043.11,15.htm for more info. 🔄 A quick note about the process Note: While you're applying for a specific area, you may join a different engineering team based on where we think you'll have the most impact. Check out descriptions of other areas here https://www.notion.so/alaninsurance/Software-Engineering-Areas-Alan-2c61426e8be7805bacd2cdbc08c32640?source=copy_link.

Location: Санкт-Петербург SberData отвечает за развитие платформы для работы с данными в Сбере. У нас свыше 230 Петабайт данных, около сотни продуктов и сервисов для клиентов. Мы создаем собственные сборки платформ в рамках вендорозамещения и активно сотрудничаем со всеми блоками Сбера для решения их бизнес-задач: наши пользователи сделали уже свыше 6500 витрин. SberData внедряет лучшие практики работы с данными, снижает стоимость хранения данных, повышает скорость получения данных, внедряет AI-технологии. Нашими решениями пользуются свыше 30 тыс человек. Технологический стек: Python, pydantic, FastMCP; RAG/поиск: ChromaDB, эмбеддинги, rank-bm25; наблюдаемость: OpenSearch (DSL), Grafana API (PromQL); платформа как объект управления: Kafka, Flink, Spark, HDFS, OpenAPI-спеки; инфраструктура: Git (Bitbucket), Jenkins, Nexus, Vault, k8s. Обязанности ### Задачи * разработка MCP-инструментов: Python/FastMCP * развитие RAG-контура базы знаний: индексация, гибридный поиск (dense-эмбеддинги + BM25), оценка качества, reranker * аналитика данных платформы * код-ревью, документирование решений, развитие тестов (pytest). Требования ### Требования * высшее образование: техническое/математическое * опыт разработки на Python не менее 1,5 лет * базовое понимание области data engineering: как устроены ETL/репликация данных, потоковые пайплайны * SQL — уверенный уровень * Git, CI/CD (Jenkins или аналог) * Linux/bash * английский — чтение технической документации. ### Будет плюсом * опыт построения RAG: векторные БД, эмбеддинги, чанкинг, оценка качества поиска (hit rate/recall/MRR) * навыки работы с генеративными AI-моделями, опыт создания AI-агентов (MCP, LangChain) * знакомство с Kafka, Flink/Spark, Hadoop/HDFS * опыт интеграций по REST/OpenAPI * опыт Java/Scala. Условия ### **Мы предлагаем** * комфортный современный офис в г. Санкт-Петербург ул Уральская, 1литерВ * возможность выбрать удобный график – офис/гибрид * ежегодный пересмотр зарплаты, годовая премия * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера.

Prime Intellect is looking for an Applied Researcher to build reinforcement learning systems for long-horizon tool-using agents.

Location: Москва Мы команда Департамента Глобальных Рынков Сбера, где создаются системы для трейдинга. Сейчас мы развиваем два high-load направления: сбор и дистрибуцию потоковых маркет-данных, а также расчет позиций и рисков в реальном времени. Сейчас команда создает AIOps-систему. Мы не просто внедряем мониторинг, мы строим ИИ-агента, который способен автономно наблюдать за сервисами, находить первопричины инцидентов и устранять их. Мы фанаты автоматизации и ищем того, кто разделит этот подход. Мы ищем SRE-инженера, который готов заниматься задачами на стыке R&D и реальной эксплуатации. Первый этап отбора на эту вакансию – общение с AI-рекрутером. После отклика ждите сообщение от него в Сберчате, диалог займёт примерно 10 минут. Задача AI-рекрутера — уточнить недостающие детали и ускорить рассмотрение вашей кандидатуры. AI-рекрутер только начинает свой путь, поэтому просим относиться с пониманием. Ваш опыт и участие помогут сделать его удобным и полезным для всех! Обязанности ### Обязанности: * развивать и сопровождать AI-агента для автоматического обнаружения, диагностики и устранения инцидентов в критичных системах * проектировать слой наблюдаемости (метрики, логи, трейсинг) как фундамент для работы AI-агента. Настраивать умный алертинг, корреляцию и группировку событий * разрабатывать и отлаживать tools и playbooks, которыми агент пользуется для диагностики и устранения проблем * разбирать инциденты (postmortem) и ошибки агента (ложные срабатывания), на основе анализа повышать точность и полноту автоматического реагирования * наполнять и структурировать базу знаний агента (историю инцидентов, документацию), внедрять RAG для улучшения качества автоматических решений * работать с инфраструктурным стеком компании: k8s, Istio, Nginx, haproxy, Kafka, Ignite, PostgreSQL, Hashicorp Vault, Nexus, ELK * поддерживать и оптимизировать CI/CD-конвейеры нескольких команд * работать с R&D задачами различной сложности. Требования ### Требования: * высшее образование в сфере IT * опыт построения систем мониторинга: логирование (ELK), метрики (Prometheus/Grafana), трейсинг * готовность к активной коммуникации с другими командами подразделения * опыт работы с Ansible, Istio, Hashicorp Vault * опыт построения CI/CD: Jenkins, ArgoCD и т.д. * опыт с Git * опыт администрирования Linux: Debian/Ubuntu * понимание принципов балансировки нагрузки и опыт конфигурации Nginx. ### Будет плюсом: * опыт настройки, администрирования Apache Ignite и Apache Kafka * навыки сборки приложений: Maven, npm * опыт работы с PostgreSQL * опыт развертывания Kubernetes с нуля, написания Helm-чартов * опыт использования AI-агентов для решения инфраструктурных задач и автоматизации. Условия ### Условия: * современный офис на Вавилова, 19 с собственным паркингом, столовой, кафетериями, зонами отдыха и спортзалом * Формат работы - гибрид * ежегодный пересмотр зарплаты и годовая премия * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * программа адаптации и помощь наставника на старте * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * льготная ипотека и кредитование от Сбера * бесплатная подписка подписка Прайм с возможностью совместного использования на трёх близких.

Location: Москва Мы – команда, которая трансформирует подход к анализу клиентского опыта (CX) и клиентских путей (CJM). Вместо статических дашбордов и недельной рутины аналитиков - автономная мультиагентная система, которая сама находит точки роста бизнеса. AI-агенты непрерывно исследуют поведение клиентов, анализируют конкурентов, выявляют отклонения, генерируют гипотезы и самостоятельно проверяют их влияние на ключевые метрики. Открываем вакансию опытного AI-инженера, который пройдет путь от архитектуры до работающего продакшн-решения. Обязанности * проектировать, разрабатывать и внедрять LLM-пайплайны и мультиагентные системы: от генерации идеи и сборки MVP до успешного запуска в продакшн * выстраивать процессы оценки и тестирования качества работы агентов (evals) * переводить бизнес-потребности на язык машинного обучения и предлагать оптимальные архитектурные решения * оборачивать разработанные модели и сложную бизнес-логику в надежные микросервисы на Python * дообучать LLM (на базе GigaChat) под специфичные бизнес-задачи и предметные области (Fine-tuning, LoRA). Требования * опыт: от 5 лет в коммерческой разработке (Data Science / NLP / Backend) с уверенным практическим применением LLM * LLM & Agents: глубокий опыт разработки LLM-пайплайнов, RAG-систем и мультиагентных архитектур. Знание и применение фреймворков: LangChain, LangGraph, DeepAgents (или аналогов) * VLM & Multimodality: опыт работы с визуальной модальностью и мультимодальными моделями (обработка изображений, скриншотов, UI-элементов в контексте AI-агентов) * NLP & ML: фундаментальное понимание NLP (от классики TF-IDF до современных трансформеров) и алгоритмов классического ML * Python Backend: понимание принципов проектирования микросервисной архитектуры (REST API); опыт написания асинхронных и многопоточных приложений (aiohttp, asyncio, multiprocessing) * инженерная культура: умение писать чистый, поддерживаемый и покрытый тестами код * опыт интеграции ML-моделей и AI-агентов в высоконагруженные системы * инструменты: свободное владение Git, SQL, Bash, Docker. будет плюсом: * опыт создания и успешного вывода в продакшн enterprise-решений на базе AI-агентов * постоянный интерес к SOTA-подходам в агентной разработке и LLM * опыт работы с Kubernetes и понимание принципов CI/CD. Условия * комфортный современный офис рядом с м. Кутузовская * гибридный формат работы * ежегодный пересмотр зарплаты, квартальная и годовая премия * корпоративный спортзал и зоны отдыха более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * программа адаптации и помощь руководителя на старте * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера.

Location: Boston, MA; San Francisco, CA | Seattle, WA | New York City, NY | Washington, DC 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 Anthropic is an AI safety and research company working to build reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our customers and society as a whole. As an Enforcement Analyst focused on Agentic Alignment, you will play a crucial role in identifying and investigating harmful and unexpected behavior by models, and make enforcement decisions accordingly. You'll work closely with a suite of cross-functional teams, within and outside of Safeguards, including: Policy, Threat Intel, Engineering, Research, and Transparency. Your work will be essential in maintaining Anthropic's commitment to safe and beneficial AI as Claude takes on more autonomous work. Important context for this role: In this position you may be exposed to and engage with explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature. There is also an on-call responsibility across the Policy and Enforcement teams. Key responsibilities Review and investigate potential instances of Agentic Misalignment, working from transcripts, tool-use traces, and code Triage cases by severity and urgency and share through the appropriate channels Help operationalize review pipelines for agentic cases, translating leads from detection outputs and investigations into structured review workflows that scale Make enforcement decisions under the Usage Policy, applying it consistently to novel agentic scenarios and across surfaces, and documenting the reasoning behind each decision Assess cyber-related agentic activity, such as scanning, exploitation attempts, credential misuse or malicious code to determine its real-world harm potential Write clear, well-evidenced case write-ups for audiences ranging from enforcement peers to senior leadership Identify patterns and trends across cases, and close the loop between enforcement outcomes and upstream improvements by feeding findings back to policy, detection and research teams to improve policies, classifiers and model behavior Maintain rigorous documentation of enforcement decisions, review logic and precedents to build institutional knowledge Collaborate with Threat Intelligence, Research, Engineering and Policy partners so that detection coverage keeps pace with how agentic misuse and misaligned behavior evolve Use AI systems, including Claude, to accelerate your own investigations: summarizing long transcripts, analyzing code, querying data and building lightweight tooling Contribute to regular reports on agentic harm trends and enforcement outcomes Minimum qualifications Can read and understand code (for example Python, JavaScript or shell scripts) well enough to follow what happened and why it matters Have a background in security, cyber threat intelligence, or a similar technical field that lets you understand how cyber harm happens and judge its severity Have experience in trust and safety, enforcement, investigations or a related field, translating ambiguous policy questions and facts into defensible enforcement decisions and clear written findings Have conducted structured investigations, building a case from first signal to final finding and knowing when the evidence is strong enough to act on Have supported or contributed to formal enforcement actions, including case documentation, evidence packaging and escalation coordination Write clearly and concisely, and can present complex findings to stakeholders across Legal, Policy and Engineering, including non-technical audiences Have sound judgment about when a case needs escalation, and the resilience to work with difficult content Preferred qualifications Have demonstrated use of AI systems to accelerate your own work, and are excited to keep finding new ways to do so Are comfortable working with large volumes of data, from long transcripts, logs and traces to complex, multi-table datasets, and surfacing the behavioral patterns that matter Are curious about how AI agents behave, and enjoy investigating behavior no one has categorized before, building approaches where established playbooks don’t exist Have familiarity with AI safety and alignment, and current debates about the risks of increasingly autonomous AI systems 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: $245,000 — $285,000 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 GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role What does software planning look like when people and artificial intelligence agents work together? As a Staff Product Manager for Planning at GitLab, you'll help answer that question and lead the team toward a clear product direction. This isn't just about improving traditional agile planning. You'll rethink how intent becomes actionable work, how that work moves through software development, and where human involvement is needed. You'll develop a point of view on planning's future and turn it into product decisions with engineering, design, and product leadership. That includes exploring how planning could connect work to business priorities and budgets, rather than assuming the answer is already decided. Alongside that strategic work, you'll share ownership of existing planning capabilities with another product manager. We're opening this role at Staff level, with flexibility to consider Principal level based on your experience and scope of impact. What you'll do Define a clear direction for planning as software development shifts toward collaboration between people and artificial intelligence agents, and help the team move from open questions to concrete priorities. Shape how users capture intent, break it into actionable work, and determine which work can proceed autonomously and which needs human involvement. Evaluate whether and how planning should connect software delivery to company priorities, business objectives, and budgets. Share ownership of planning capabilities, including work items, boards, specifications, and portfolio planning, with a fellow product manager. Help define how that scope is divided. Work with engineering and design to translate product direction into a roadmap and improvements to planning workflows across GitLab. Communicate your recommendations clearly to senior leaders, challenge assumptions constructively, and lead the team through changes in direction. What you'll bring Experience leading product strategy and execution for software development, developer tools, or planning products, with the depth to make decisions in a specialized product area. A strong understanding of software development and development and operations (DevOps) workflows, including how planning decisions affect downstream delivery. The ability to form and defend a product point of view in an uncertain, changing market, while staying open to different ideas. Clear communication with technical teams and senior executives, including experience challenging leadership decisions constructively and building support for a direction. The ability to connect a forward-looking strategy to practical product decisions and work collaboratively across product, engineering, and design. About the team The Planning team builds the capabilities at the start of GitLab's software development workflow, including work items, boards, specifications, and portfolio planning. Decisions here affect how work moves through the rest of the platform, so the team's scope extends beyond standalone project management tools. You'll work alongside another product manager and partner with engineering and design across this product area. The division of product ownership is still being shaped, and you'll help define it. The hiring manager wants you to bring a different perspective, question established approaches, and challenge senior leaders constructively, with room to influence decisions beyond your immediate product scope. GitLab's mission is to enable everyone to contribute to and co-create the software that powers our world. Our platform brings software development, security, and operations together. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $168,000 — $285,600 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

• Ручное тестирование и валидация изменений кода, сгенерированных агентной/автоматизированной системой на основе транскриптов поддержки (чат/голос). • Проведение exploratory testing и проектирование подробных тест‑сценариев для сложных изменений.

• Experience in Retention within the Forex / Investment industry.

Location: Athens, Greece Workplace: fully We are looking to hire ambitious entrepreneurs to start and scale their own startups. We are serial entrepreneurs, for example Paul Müller (founder Adjust, €1.2B exit) and Petter Made (founder SumUp, €8B) who are eager to support outlier personalities and serial entrepreneurs to build €1B+ companies. Our offer: A salary while you build your startup as you will directly be employed by us. Alternatively, you can opt for up to €500k in funding. 1:1 sparring with unicorn founders on a weekly basis Community : Access to the top 0.1% of founders, peers and investors Team building : Hiring top notch talent supported through our network (over 50,000 professionals) Distribution : Support in reaching product-market-fit and building up a sales force / marketing machine Funding support for securing a multi-million euro funding round within 12 months (on average, EWOR Fellows raise > €2M after our Grand Pitch) One of our fellows set a record for Europe’s largest pre-seed round by a first-time founder, securing a €12M pre-seed investment. Tasks You will own, build, and run your startup in fields such as Agentic AI You will embark on an extensive personal development journey crafted by unicorn founders and follow a fully customised programme enhancing your goal, time, and energy management You will receive support in hiring through our network to over 50,000 professionals and advice as well as best practices from serial entrepreneurs You will receive intensive coaching to make your startup ready to raise millions in funding You will iterate your product with us until having reached product-market-fit and receive support in building up a sales force or creating a marketing engine respectively Requirements You are based in Europe or the Americas or open to relocate You are willing to take full responsibility for your own startup and scale it to €100M+ in revenues You have excellent communication skills in the English language Join us and build a €1B+ company with us!

Location: Skopje, North Macedonia Workplace: fully We are looking to hire ambitious entrepreneurs to start and scale their own startups. We are serial entrepreneurs, for example Paul Müller (founder Adjust, €1.2B exit) and Petter Made (founder SumUp, €8B) who are eager to support outlier personalities and serial entrepreneurs to build €1B+ companies. Our offer: A salary while you build your startup as you will directly be employed by us. Alternatively, you can opt for up to €500k in funding. 1:1 sparring with unicorn founders on a weekly basis Community : Access to the top 0.1% of founders, peers and investors Team building : Hiring top notch talent supported through our network (over 50,000 professionals) Distribution : Support in reaching product-market-fit and building up a sales force / marketing machine Funding support for securing a multi-million euro funding round within 12 months (on average, EWOR Fellows raise > €2M after our Grand Pitch) One of our fellows set a record for Europe’s largest pre-seed round by a first-time founder, securing a €12M pre-seed investment. Tasks You will own, build, and run your startup in fields such as Agentic AI You will embark on an extensive personal development journey crafted by unicorn founders and follow a fully customised programme enhancing your goal, time, and energy management You will receive support in hiring through our network to over 50,000 professionals and advice as well as best practices from serial entrepreneurs You will receive intensive coaching to make your startup ready to raise millions in funding You will iterate your product with us until having reached product-market-fit and receive support in building up a sales force or creating a marketing engine respectively Requirements You are based in Europe or the Americas or open to relocate You are willing to take full responsibility for your own startup and scale it to €100M+ in revenues You have excellent communication skills in the English language Join us and build a €1B+ company with us!

Location: Budapest, Hungary Workplace: fully We are looking to hire ambitious entrepreneurs to start and scale their own startups. We are serial entrepreneurs, for example Paul Müller (founder Adjust, €1.2B exit) and Petter Made (founder SumUp, €8B) who are eager to support outlier personalities and serial entrepreneurs to build €1B+ companies. Our offer: A salary while you build your startup as you will directly be employed by us. Alternatively, you can opt for up to €500k in funding. 1:1 sparring with unicorn founders on a weekly basis Community : Access to the top 0.1% of founders, peers and investors Team building : Hiring top notch talent supported through our network (over 50,000 professionals) Distribution : Support in reaching product-market-fit and building up a sales force / marketing machine Funding support for securing a multi-million euro funding round within 12 months (on average, EWOR Fellows raise > €2M after our Grand Pitch) One of our fellows set a record for Europe’s largest pre-seed round by a first-time founder, securing a €12M pre-seed investment. Tasks You will own, build, and run your startup in fields such as Agentic AI You will embark on an extensive personal development journey crafted by unicorn founders and follow a fully customised programme enhancing your goal, time, and energy management You will receive support in hiring through our network to over 50,000 professionals and advice as well as best practices from serial entrepreneurs You will receive intensive coaching to make your startup ready to raise millions in funding You will iterate your product with us until having reached product-market-fit and receive support in building up a sales force or creating a marketing engine respectively Requirements You are based in Europe or the Americas or open to relocate You are willing to take full responsibility for your own startup and scale it to €100M+ in revenues You have excellent communication skills in the English language Join us and build a €1B+ company with us!

Location: Prague, Czechia Workplace: fully We are looking to hire ambitious entrepreneurs to start and scale their own startups. We are serial entrepreneurs, for example Paul Müller (founder Adjust, €1.2B exit) and Petter Made (founder SumUp, €8B) who are eager to support outlier personalities and serial entrepreneurs to build €1B+ companies. Our offer: A salary while you build your startup as you will directly be employed by us. Alternatively, you can opt for up to €500k in funding. 1:1 sparring with unicorn founders on a weekly basis Community : Access to the top 0.1% of founders, peers and investors Team building : Hiring top notch talent supported through our network (over 50,000 professionals) Distribution : Support in reaching product-market-fit and building up a sales force / marketing machine Funding support for securing a multi-million euro funding round within 12 months (on average, EWOR Fellows raise > €2M after our Grand Pitch) One of our fellows set a record for Europe’s largest pre-seed round by a first-time founder, securing a €12M pre-seed investment. Tasks You will own, build, and run your startup in fields such as Agentic AI You will embark on an extensive personal development journey crafted by unicorn founders and follow a fully customised programme enhancing your goal, time, and energy management You will receive support in hiring through our network to over 50,000 professionals and advice as well as best practices from serial entrepreneurs You will receive intensive coaching to make your startup ready to raise millions in funding You will iterate your product with us until having reached product-market-fit and receive support in building up a sales force or creating a marketing engine respectively Requirements You are based in Europe or the Americas or open to relocate You are willing to take full responsibility for your own startup and scale it to €100M+ in revenues You have excellent communication skills in the English language Join us and build a €1B+ company with us!

Location: Pristina, Kosovo Workplace: fully We are looking to hire ambitious entrepreneurs to start and scale their own startups. We are serial entrepreneurs, for example Paul Müller (founder Adjust, €1.2B exit) and Petter Made (founder SumUp, €8B) who are eager to support outlier personalities and serial entrepreneurs to build €1B+ companies. Our offer: A salary while you build your startup as you will directly be employed by us. Alternatively, you can opt for up to €500k in funding. 1:1 sparring with unicorn founders on a weekly basis Community : Access to the top 0.1% of founders, peers and investors Team building : Hiring top notch talent supported through our network (over 50,000 professionals) Distribution : Support in reaching product-market-fit and building up a sales force / marketing machine Funding support for securing a multi-million euro funding round within 12 months (on average, EWOR Fellows raise > €2M after our Grand Pitch) One of our fellows set a record for Europe’s largest pre-seed round by a first-time founder, securing a €12M pre-seed investment. Tasks You will own, build, and run your startup in fields such as Agentic AI You will embark on an extensive personal development journey crafted by unicorn founders and follow a fully customised programme enhancing your goal, time, and energy management You will receive support in hiring through our network to over 50,000 professionals and advice as well as best practices from serial entrepreneurs You will receive intensive coaching to make your startup ready to raise millions in funding You will iterate your product with us until having reached product-market-fit and receive support in building up a sales force or creating a marketing engine respectively Requirements You are based in Europe or the Americas or open to relocate You are willing to take full responsibility for your own startup and scale it to €100M+ in revenues You have excellent communication skills in the English language Join us and build a €1B+ company with us!