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Location: Philippines We are seeking an experienced, high-performing Medical Biller to support a busy, integrated chiropractic and multidisciplinary health practice. While this role may include light administrative support, the core focus is driving the practice’s complete revenue cycle management—from initial insurance verification to claim submission and accounts receivable management. The ideal candidate possesses specialized experience in chiropractic billing workflows, exhibits mastery of ChiroTouch , and seamlessly handles phone communications via Intermedia . You will work in close alignment with a U.S.-based team to maintain optimal billing accuracy and financial performance. Schedule & Daily Focus Status: Full-Time (40 Hours / Week) Schedule: Monday – Friday, 9:00 AM – 6:00 PM PST (US Pacific Standard Time) VA's Top 3 Daily Tasks Claims Processing & Submission: Coding, auditing, and submitting clean primary and secondary insurance claims for chiropractic and medical services. Insurance Verification & Pre-Authorizations: Verifying patient benefits, eligibility limits, co-pays, deductibles, and obtaining required care authorizations. Accounts Receivable (A/R) Management: Tracking unpaid or delayed claims, managing denials, posting insurance/patient payments, and working aging reports. Core Responsibilities Full-Cycle Billing Operations: Execute claim submissions, track insurance payments, post explanation of benefits (EOBs), and process patient billing statements. ChiroTouch EMR Management: Maintain clean ledger records, manage billing queues, log authorization details, and verify diagnostic/procedural coding within ChiroTouch . Payer & Phone Communications: Conduct outbound calls to insurance carriers and handle practice phone inquiries using the Intermedia phone system. Denial & Rejection Resolution: Investigate unpaid claims, file timely appeals, resolve billing discrepancies, and reduce overall A/R aging. Administrative Alignment: Coordinate with clinic staff and U.S.-based practice managers to ensure missing documentation or billing authorizations are obtained without care disruption. Requirements Required Qualifications Specialty Billing Background: Proven experience in medical billing with specific expertise supporting Chiropractic practices . Software Requirement (Non-Negotiable): Hands-on proficiency and direct experience using ChiroTouch EMR . Phone System Proficiency: Experience using Intermedia phone systems (or comparable multi-line VOIP software). Revenue Cycle Mastery: Comprehensive knowledge of claims submission, insurance verification, pre-authorization workflows, and accounts receivable management. Communication & Collaboration: Fluent verbal and written English skills; comfortable collaborating directly with a U.S.-based healthcare team. Remote Setup: A private, HIPAA-compliant home office with a reliable computer, high-speed internet, and a clear headset. Preferred Qualifications Integrated Healthcare Experience: Familiarity with billing for multi-disciplinary practices (e.g., Chiropractic, Physical Therapy, Medical/Pain Management). Immediate Availability: Ability to transition quickly into full-time PST schedule operations. Ideal Candidate Profile You are a meticulous chiropractic billing specialist who understands the intricacies of ChiroTouch and insurance claim lifecycles. You take ownership of revenue health, follow up relentlessly on aging accounts, and integrate seamlessly into established team workflows.

Location: Bulgaria; Croatia; Poland; Romania; Greece Join our global Pharmacovigilance team as a Pharmacovigilance Specialist (Medical/Clinical Safety). Pharmacovigilance Specialist (Medical/Clinical Safety) is responsible for assuring compliance with the Quality Management System. Participating in the collection, safety review, processing and reporting of safety information in compliance with applicable global and local regulations and Biomapas standard operating procedures and guidelines. Position is in any EU country. Responsibilities: Responsible for processing of ICSRs, Serious Adverse Event (SAE) from Clinical trials (safety database entry, tracking, narrative writing, requesting follow-up from site, quality checks/review and reporting to client (s) or agencies for assigned projects) Perform reconciliation of safety data Participate in Project / Study Team meetings as the Safety and Pharmacovigilance representative Oversee the planning, coordination, and quality review of aggregate safety reports, support the preparation and submission of regulatory safety documents (e.g., DSURs, 6MLL). Supervision of local handling, including preparation and submission, of Periodic Safety Update Reports, Risk Management Plans and risk minimization activities Collaborate with medical, safety physicians, and data management, IT, other functions to ensure timely and accurate reporting or reports delivery Act as Biomapas and/or contractual partners 24/7 local contact person or back up for pharmacovigilance at local level Ensure the survey and monitoring of national / regional pharmacovigilance regulations Collection and processing of any medical enquiry/inquiry/answer received via phone/e-mail/fax or by other means from any source Support of weekly monitoring of local or global literature review Support of continuous safety profile monitoring, detection of new signals and evaluation Participate in related inspection and/or audits, including post inspection/audit support, when required Requirements University degree in the Life Science field At least 4+-years’ experience in Pharmacovigilance, clinical safety and clinical development and expert knowledge of pharmacovigilance legislation Knowledge of international regulations (ICH, EU GVP Modules, FDA) Experience working with PV databases (e.g., Argus, ArisG) and MedDRA coding Ability to interpret and apply global drug safety regulations Fluent English and local country language Eager to adopt automations and new technologies in daily tasks Attention to detail, time-management and problem-solving skills Project management experience is beneficial Benefits Professional growth and career opportunities International team and environment Bonus based on annual performance Personal accident and business trip insurance Additional health insurance Remote/home based Rewarding referral policy Workplace establishment allowance (fully remote) Team building, global meetings

Location: Bolivia, Plurinational State of; Colombia; Mexico; Argentina; Brazil; Venezuela, Bolivarian Republic of We are seeking a highly skilled Cabinet Vision Engineer to join a growing U.S.-based custom woodworking and cabinetry company on a full-time, long-term basis. This role is ideal for a detail-oriented professional with strong experience in Cabinet Vision, UCS codes, custom cabinetry, millwork, and technical shop drawings . You will support high-end residential and commercial projects, transforming architectural plans and design requirements into precise, fabrication-ready cabinetry packages. The company creates fully customized cabinetry and millwork for demanding projects where quality, accuracy, and speed are essential. You will work closely with the internal team, learn their established Cabinet Vision standards and custom attributes, and help improve the turnaround time for detailed drawing packages. Responsibilities Develop accurate cabinetry and millwork drawing packages using Cabinet Vision. Produce detailed floor plans, elevations, sections, renderings, and shop drawings for high-end residential and commercial projects. Review and interpret architectural plans, specifications, and project requirements. Work with Cabinet Vision UCS (User Created Standards) codes , custom attributes, and company-specific configurations. Adapt quickly to internal drawing standards, naming conventions, and established workflows. Create precise, fabrication-ready documentation that reflects custom materials, joinery, hardware, and installation requirements. Support commercial projects with fast turnaround requirements, including drawing packages targeted for delivery within one week of receiving architectural plans. Coordinate with the U.S.-based team to clarify technical details, incorporate revisions, and maintain a high standard of accuracy. Help identify opportunities to improve drafting efficiency while protecting quality and attention to detail. Requirements Advanced, hands-on experience with Cabinet Vision . Proven experience working with UCS codes , custom attributes, configurations, and standards within Cabinet Vision. Strong background in custom cabinetry, architectural millwork, casework, woodworking, or related fabrication environments. Demonstrated ability to produce detailed shop drawings, floor plans, elevations, sections, and manufacturing documentation. Experience with BricsCAD and AutoCAD . Experience supporting high-end residential cabinetry projects; commercial millwork or cabinetry experience is also highly valued. Strong understanding of cabinetry materials, joinery, hardware, construction details, and fabrication considerations. Excellent attention to detail, organization, and ability to work independently. Strong written and spoken English communication skills. Previous experience working remotely with U.S.-based clients or teams is strongly preferred. Ability to learn and follow company-specific systems, standards, and technical processes. Nice to Have Experience creating 3D cabinetry renderings or presentation-ready visuals. Experience improving Cabinet Vision workflows, UCS libraries, standards, or automation. Previous exposure to CNC programming, estimating, or project coordination within a cabinetry or millwork environment Benefits Work for the most exciting companies in the North American Market. Flexible schedules. Work from anywhere. Highly competitive compensation.

Вести аналитическое направление как единую продуктовую линейку: ИИ-аналитика по бюджетным данным, перенос отчётности на портал, новые разделы Цифрового паспорта, сводная аналитика для государственных заказчиков. Держать границу продукта: что входит в платформу, а что продаётся отдельно — ваше предложение и ваша аргументация перед руководством.

Рефакторинг и расширение системы продажи билетов. Разработка, доработка и поддержка качественного, масштабируемого кода.

развивать и сопровождать Python-фреймворк. разрабатывать и интегрировать анализатор для новых языков и форматов.

Разрабатывать инструменты и библиотеки для продуктовых команд; Находить точки роста в процессе разработки и архитектуре;

Развивать digital-направление: провести аудит каналов, аналитики и воронки привлечения, сформировать план развития, находить точки роста и тестировать гипотезы. Работать с платным трафиком: самостоятельно запускать и оптимизировать кампании в Яндекс Директе, тестировать новые источники привлечения.

Разработка и поддержка веб-приложений на PHP / Laravel. Проектирование и развитие backend-архитектуры, API и интеграций с внешними сервисами.

Разработка и развитие frontend-приложения на Vue 3 / Nuxt 4.

Разработка новых модулей обработки сетевых протоколов (RDP, SSH, HTTP) и балансировки нагрузки. Знания: Python 3.7+, mypy, Redis, OpenSSL, Git, CI/CD (GitLab), pytest, структура deb-пакетов (dpkg, apt).

О компании и продукте: Компания занимается разработкой и поддержкой масштабной транспортно-логистической платформы-маркетплейса xPlanet, реализованной в контуре крупнейшего российского производителя подвижного состава для рельсового транспорта, компании Трансмашхолдинг (ТМХ). Платформа запущена в 2019 году, с 2020 года происходит декомпозиция монолитной Java-архитектуры в более чем 20 микросервисов на Golang, завершённая в 2024 году. В последние два года компания структурно трансформировалась, сформировав единую команду разработки с приоритетом на современные технологии и качественный delivery. Задачи: — Проектировать и разрабатывать микросервисы на Go — Развивать существующие доменные сервисы: рефакторинг, оптимизация, ликвидация технического долга — Проектировать схемы данных и миграции PostgreSQL с нулевым downtime — Работать с асинхронным взаимодействием: топология Kafka, идемпотентность, гарантии доставки, обработка ошибок — Отвечать за надёжность сервисов: метрики, структурные логи, трейсы, профилирование, разбор инцидентов — Участвовать в декомпозиции задач и технических решениях команды — Проводить code review, менторить менее опытных коллег, участвовать в технических интервью Требования: — От 5 лет коммерческой backend-разработки, из них от 3 лет на Golang — Глубокое понимание Go: конкурентность (горутины, каналы, context), работа с памятью и GC, профилирование через pprof — PostgreSQL на уровне проектирования схем и оптимизации: планы запросов, индексы, блокировки, уровни изоляции, миграции на живой базе — Опыт проектирования и эксплуатации микросервисов: границы сервисов, версионирование API, идемпотентность, ретраи, таймауты, консистентность между сервисами — Опыт работы с брокерами сообщений (Kafka или аналоги) и паттернами применения — Знания Docker, Kubernetes, CI/CD пайплайнов — Тестирование: unit, интеграционные (testcontainers или аналог), мутационные тесты, понимание покрытия на разных уровнях — Умение довести задачу до продакшена самостоятельно: от уточнения требований до мониторинга после релиза Работа с ИИ-инструментами: — Ежедневное использование агентных ассистентов (Claude Code, Cursor, Continue.dev, Codex или аналоги) — Умение ставить задачи модели: сбор контекста, границы и критерии приёмки, разбивка задач на проверяемые шаги — Понимание, где ИИ ускоряет процесс, а где создаёт риски — Критическая проверка сгенерированного кода и ответственность за результат — Знание MCP-серверов, скиллов, RAG, подключение внешних инструментов к ассистенту Будет плюсом: — Опыт программирования на Kotlin (API gateway реализован на нём) — Навыки работы с OpenTelemetry и стеком наблюдаемости: Prometheus, Grafana, Tempo, Loki, Pyroscope — Опыт trunk-based development и работы с фича-флагами (Growthbook, Unleash и т.п.) — Опыт работы с gRPC и контрактами между сервисами — Опыт менторства, развития инженерной культуры, участия в найме — Опыт внедрения ИИ-инструментов на уровне команды Условия: — Оформление по ТК РФ — Гибридный формат работы, полностью удалённый по согласованию с руководителем — ДМС со стоматологией — Бонусы аккредитованной ИТ-компании — Корпоративный спорт (бег, хоккей) — Развитая инженерная культура: CI/CD, автотесты, observability, отсутствие ручных релизов по ночам — Возможность влиять на технические решения, а не просто закрывать тикеты

Задачи: — Поддерживать стабильную работу Kubernetes-кластера и обеспечивать высокую доступность сервисов — Проектировать и внедрять решения по управлению инфраструктурой (IaaC: Ansible, Terraform) — Разрабатывать и поддерживать CI/CD процессы — Управлять жизненным циклом приложений в Kubernetes (установка, обновление, масштабирование) — Обеспечивать безопасность инфраструктуры и сервисов — Проводить диагностику и устранять инциденты — Работать над улучшением производительности и оптимизацией ресурсов — Настраивать системы мониторинга и логирования — Интегрироваться с облачной инфраструктурой (создание, удаление, изменение ресурсов) Требования: — Понимание CI/CD, умение настраивать пайплайны в Jenkins, GitLab CI (или GitHub Actions) — Уверенная работа с Git (Git Flow) — Создание и управление контейнерами (Docker, Docker Compose) — Знание Linux (bash-скрипты, администрирование) — Понимание основ сетей: TCP/IP, DNS, HTTP/HTTPS, VPN, балансировка нагрузки — Работа по принципу Infrastructure as a Code — Администрирование Kubernetes: разворачивание кластеров (kubespray, kubeadm, вручную), знание компонентов (etcd, kube-apiserver, kubelet, CNI, ingress-контроллеры), устранение проблем — Управление инфраструктурой через Terraform — Автоматизация конфигурации серверов через Ansible — Установка приложений в Kubernetes через Helm — Опыт работы с облачными провайдерами (AWS, GCP, Azure, Cloud.ru) — Настройка систем мониторинга и логирования (Prometheus, Grafana, Loki, ELK) Будет плюсом: — Опыт работы с VictoriaMetrics — Глубокие знания CNI и ingress-контроллеров Условия: — Конкурентная зарплата с годовой премией (обсуждается на собеседовании) — Официальное оформление в российскую ИТ-компанию с аккредитацией — Бонусы: ДМС, бесплатная подписка «СберПрайм+», скидки на изучение английского, бесплатный фитнес в офисе или скидки на абонементы, скидки от партнёров Сбера, корпоративная пенсионная программа — Льготная ипотека в Сбере — Удобный формат работы: удалённо или в гибридном формате, «короткая» пятница

Location: Hybrid - San Francisco, New York City, Austin About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role We are looking for a software engineer to join our GTM Engineering team. You will build AI apps and workflows that drive revenue. You’ll partner closely with Sales, Marketing, Success, and Data to find opportunities and ship novel solutions with Vercel’s AI Cloud. You will report to the Director of GTM Engineering and will be remote. If you’re based within a pre-determined commuting distance of one of our offices (SF, NY, London, or Berlin), the role includes in-office anchor days on Monday, Tuesday, and Friday. If you're located beyond that distance, the role is fully remote. For location-specific details, please connect with our recruiting team. What you'll do Ship code daily using the Vercel AI Cloud Discover user pain and ship high-impact solutions Collaborate with top performers in GTM departments and ship their best practices to the org with systems Test new features and give feedback to engineering Publish best practices and guides on using Vercel’s AI Cloud What you need Have shipped a Next.js app to production with users Have 4+ years of full-stack development experience Familiar with the Vercel ecosystem Experience working with AI models and APIs (e.g., OpenAI, v0 API, Anthropic) Bonus if you Have built an AI agent Have automated repetitive tasks with AI Have built features with the AI SDK Have published blogs/videos explaining technical concepts Compensation & Benefits: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA base pay range for this role is $180,000 - $295,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Location: San Francisco, CA 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 an Applied AI Engineer on the Startups team at Anthropic, you will be a trusted technical advisor to the top AI-native startups building in the physical world, across robotics, semiconductors, aerospace, manufacturing, and civil infrastructure, as they grow from early product to scale. Some of these companies build the hardware itself and want Claude woven into how they design, test, and operate it, and others build the software that engineers everywhere use to design, simulate, test, and scale, and this role works with both. You'll lead deep technical engagements, partnering directly with startup software and hardware engineering teams to help them build their products on Claude and run their own engineering with it, advising on implementation and agent design as they build what is newly possible with AI in the physical world. You will bridge the gap between what Claude can do and what it takes to build real things, working alongside some of the strongest teams in the field on problems that matter and helping mechanical, electrical, and process engineers get the kind of step change that software engineering has had from agentic coding with tools like Claude Code. Working closely with Applied AI Architects, Account Executives, and Anthropic's Product, Engineering, and Research teams, you'll help startups build at the edge of what is possible with Claude. You'll leverage your AI engineering expertise and your engineering domain knowledge to develop custom evaluation frameworks, design scalable architectures, and create the technical resources that enable physical AI startups to succeed with Claude. Responsibilities Serve as a deep technical advisor to high-potential startups building in the physical world, whether Claude sits inside the product they sell or inside the way they design, test, and run their own hardware, working alongside them to push the boundaries of AI in engineering, manufacturing, operations, and more Work hands-on with startup software and hardware teams through pair programming and architecture reviews that accelerate their development, and understand their engineering workflows end to end, from design and simulation through test, production, and operations, so that your guidance fits how real hardware gets built Develop prototypes and technical documentation, including evaluation suites, benchmarks grounded in real engineering tasks, AI engineering techniques, and architecture diagrams, that enable startups to build, operate, and scale with Claude Create reference implementations and sample code that many companies can adopt without starting from scratch, for example integrating Claude with CAD, simulation, design tools, or industrial automation Collaborate closely with Applied AI Architects to maintain context and continuity across customer engagements Identify patterns across engagements, including what is hard about applying AI to physical systems such as reading drawings, 3D geometry, board layout and routing, GD&T, latency and on-premise constraints, and physical safety, then build repeatable evaluations and solutions and contribute insights back to Product, Engineering, Research, and the broader Applied AI team Create technical content for startup audiences including documentation, tutorials, and sample code Foster community engagement through hackathons, webinars, technical office hours, and startup-focused events Travel to customer sites for workshops, implementation guidance, and relationship building You may be a good fit if you have Deep engineering experience in a physical discipline such as mechanical, electrical, aerospace, robotics, semiconductor, manufacturing, or civil engineering, gained by designing, building, or operating real hardware, along with strong opinions of your own about how to bridge the gap between what AI can do today and how physical things get built 4+ years of technical experience as a software engineer, ML or research engineer, robotics or controls engineer, hardware or systems engineer, or technical founder, with either production experience building LLM-powered applications, including prompting, context engineering, agent architectures, evaluation frameworks, and deployment at scale, or a track record of successfully applying AI to real engineering work in design, simulation, test, or production Experience with startups or high-growth companies and a love of working with founders and small teams that move quickly Strong technical communication skills, with the ability to translate complex AI concepts into architectural decisions and actionable implementation plans for both software and hardware engineering audiences and to run technical workshops, hackathons, or developer-focused events A collaborative approach to working across teams, the range of a generalist who can context-switch from robots to chips to rockets to factories and get up to speed on a new domain quickly, and a passion for making powerful technology safe and beneficial 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: $280,000 — $320,000 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 an Applied AI Engineer on the Startups team at Anthropic, you will be a trusted technical advisor to the top AI-native life sciences and biotech startups as they grow from early product to scale. Some of these companies build products on Claude that they sell to the rest of the industry, and others do the science themselves and want Claude woven into how their own research runs, and this role works with both. You'll lead deep technical engagements, partnering directly with startup engineering and scientific teams to help them build their products on Claude and run their own research with it, advising on implementation and agent design as they build what is newly possible with AI in the life sciences. You will bridge the gap between what Claude can do and what the life sciences need, working alongside some of the strongest teams in the field on problems that matter and pushing the boundaries of AI in science as you go. Working closely with Applied AI Architects, Account Executives, and Anthropic's Product, Engineering, and Research teams, you'll help startups build at the edge of what is possible with Claude. You'll leverage your AI engineering expertise and your scientific domain knowledge to develop custom evaluation frameworks, design scalable architectures, and create the technical resources that enable life sciences startups to succeed with Claude. Responsibilities Serve as a deep technical advisor to high-potential life sciences and biotech startups, whether Claude sits inside the product they sell or inside the way they make discoveries, working alongside them to build innovative use cases that push the boundaries of AI in scientific research and development Work hands-on with startup engineering teams and their scientists through pair programming and architecture reviews that accelerate their development, and understand their scientific workflows end to end so that your guidance fits into real research pipelines Develop prototypes and technical documentation, including evaluation suites, scientifically grounded benchmarks, AI engineering techniques, and architecture diagrams, that enable startups to build, operate, and scale with Claude Create reference implementations and sample code that many companies can adopt without starting from scratch, such as example MCP servers for domain-specific data sources like genomics platforms, literature databases, and experimental repositories, along with agent skills for common scientific workflows Collaborate closely with Applied AI Architects to maintain context and continuity across customer engagements Identify patterns across engagements, including what is hard about deploying AI in the life sciences such as heterogeneous data, auditability requirements, and the gap between a working prototype and a system that scientists trust, and contribute insights back to Product, Engineering, Research, and the broader Applied AI team, including feedback on the model capabilities and product features that would most accelerate discovery work Create technical content for startup audiences including documentation, tutorials, and sample code Represent Anthropic across the life sciences startup ecosystem and foster community engagement through hackathons, webinars, technical office hours, in-person founder events, and research show and tells Travel to customer sites for workshops, implementation guidance, and relationship building You may be a good fit if you have Deep experience in the life sciences or biotech, gained through research or industry work in areas such as genomics, drug discovery, molecular design, lab automation, or clinical development, along with strong opinions of your own about how to bridge the gap between what AI can do today and what the life sciences need 4+ years of technical experience as a software engineer, ML or research engineer, computational biologist, research scientist, or technical founder, with either production experience building LLM-powered applications, including prompting, context engineering, agent architectures, evaluation frameworks, and deployment at scale, or a track record of successfully applying AI to real scientific work in the lab or in research Experience with startups or high-growth companies and a love of working with founders and small teams that move quickly Strong technical communication skills, with the ability to translate complex AI concepts into architectural decisions and actionable implementation plans for both engineering and scientific audiences and to run technical workshops, hackathons, or developer-focused events A collaborative approach to working across teams, the ability to context-switch across scientific domains and use cases, and a passion for making powerful technology safe and beneficial 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: $280,000 — $320,000 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 Anthropic is growing fast, and our SOX program needs to keep up. Many of the controls that matter for financial reporting run on engineering systems: who can access production and financial systems, how code changes are reviewed and deployed, and how usage is metered and billed. We’re hiring a Technical Program Manager to own the technology side of our SOX program. You'll work across engineering, security, GRC, Finance, and Internal Audit to design and run IT controls, drive gaps to closure, and make compliance lighter for engineering teams. You’ll also use Claude to automate evidence collection and control testing, so the program scales without more manual work. Responsibilities Own the technology side of the SOX program end-to-end, from planning and control design through evidence, testing, remediation, and year-end reporting Work with engineering teams to design and roll out IT general controls and IT application controls Work with engineering teams to build Claude-based workflows, tools, and dashboards to automate evidence collection, control testing, and monitoring that warns engineering teams about compliance issues before an audit finds them Lead large SOX projects, such as bringing new systems into scope, with clear success criteria, dependencies, and delivery dates Turn control requirements into concrete engineering work with clear scope, owners, and deadlines, and a design that fits how our teams already build and ship Build processes to evaluate new products, systems, and major engineering changes for SOX impact before they ship, so the right controls are in place from the start Build strong working relationships with engineering control owners, help them understand what their controls require, and support them in producing evidence for auditor requests Investigate control failures down to root cause, and drive engineering teams to fix them in time for the fix to be tested Help keep an up-to-date list of the systems, apps, and infrastructure in SOX scope, with an owner named for each control Track system migrations and scope changes, and make sure controls are updated as systems move Build metrics and dashboards on control health, open findings, and remediation progress Give regular updates on program status, risks, and remediation to technical leadership Keep improving the program: simplify control processes, remove manual steps, and raise the share of controls that run cleanly You may be a good fit if you Have 7+ years of experience in technical program management, IT audit, or technology compliance, with a focus on SOX and IT general controls Have run or supported a SOX program at a public or pre-IPO company Have used automation or AI tools to make compliance work faster and more reliable Know IT general controls and IT application controls in depth, including access management, change management, and application controls, and how they support financial reporting Have worked closely with external auditors Understand cloud infrastructure and engineering workflows, such as code review, CI/CD, and cloud access, well enough to work through a control design with an engineer Can explain technical risks and control gaps clearly to executives and other non-technical audiences Are comfortable driving outcomes across engineering, finance, and audit teams that don't report to you Strong candidates may also have A background in software, systems, or security engineering Hands-on experience building with Claude Code or other AI tools Experience with automated controls in revenue or order-to-cash systems, such as billing and usage metering Experience with financial systems such as ERP and billing platforms, and the controls around them Experience building or rebuilding a SOX program at a fast-growing company Familiarity with other security and IT frameworks, such as NIST or ISO 27001 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: $290,000 — $365,000 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 or Seattle, WA Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ Docker AI Gateway is our answer to the complexity of taking AI agents from prototype to production. It’s a powerful, intelligent, and secure control point that eliminates the toil of model orchestration, tool management, observability, and governance—so developers can focus on building incredible AI agents, not gluing together infrastructure. The Gateway sits at the center of modern AI applications, offering: - A model and tool routing layer with built-in security and cost optimization - A familiar OpenAI-compatible interface and MCP server - Unified observability and policy enforcement - Auto-RAG, tool injection, session summarization, and more We’re just getting started—and we need exceptional engineers to help us build the backbone of the future of agent-based development. WHAT YOU’LL DO - Design and implement core systems powering the AI Gateway, including the model router, MCP gateway, and control plane - Build infrastructure that supports dynamic model selection/routing, auto-failover, cost-based routing, and policy enforcement - Own critical capabilities such as secure credential storage, session summarization, caching, and rate limiting - Develop APIs for developers building with OpenAI-compatible interfaces and the Model Context Protocol - Build the underlying infrastructure to support evaluation, telemetry, replay, and backtesting for agents and LLM workflows - Lead architectural decisions and mentor engineers as the team scales - Performance tuning - caching, session summarization, and rate limiting that keep the gateway fast under real production load - Contribute to roadmap planning, technical strategy, and cross-functional alignment KEY PROBLEMS YOU’LL HELP SOLVE - Building a unified abstraction over fundamentally different model and tool providers without leaking their differences into the developer experience - Making credential and identity handling for tool access both airtight and fast - Giving developers real-time and historical visibility into what their agents are doing, with policy enforcement that can't be bypassed - Keeping latency low and reliability high as traffic scales from early adopters to production fleets WHO YOU ARE Required Qualifications: - 6+ years of backend engineering experience with production-grade systems - Deep knowledge of distributed and highly scalable systems, cloud-native infrastructure, and API design - Experience building secure, high-throughput services (e.g., gateways, proxies, load balancers, policy engines) - Fluency in Go, and/or Rust (both preferred) - Familiarity with AI/ML platforms or model serving infrastructure - A strong product mindset—you're excited about building developer-facing tools - Ownership mentality with a bias for shipping, learning, and iterating - Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience Bonus Qualifications: - Prior experience with OpenAI, Anthropic, or similar LLM APIs - Familiarity with RAG architectures, vector databases, or agent frameworks (e.g., LangChain, AutoGPT, CrewAI) - Experience with policy engines (e.g., OPA), observability frameworks (e.g., OpenTelemetry), or API gateways - Understanding of OAuth2.1, secret management, and cloud IAM systems - Experience with Kubernetes, Docker, and microservices architecture WHY JOIN US? - Work on what’s next: The agent era is just beginning. Help define the infrastructure stack for the next generation of software. - Own mission-critical infrastructure: Be part of a small team building the backbone of secure, intelligent agent applications. - Impact at scale: Your work will touch tens of thousands of developers building AI-first applications. - Engineering excellence: Join a world-class engineering team that values simplicity, code quality, and deep technical thinking. - Remote-first culture: Work from anywhere with a team that trusts and empowers you. Docker considers visa sponsorship on a case-by-case basis based on business needs.   Compensation & Equity United States: $160,900 – $260,700 + equity ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE