Вакансии

Следить за изменениями в агентах, скиллах, промптах и RAG и проверять затронутые сценарии до релиза. Составлять E2E-сценарии работы юриста в чате и запускать их через агентов-тестировщиков: тесты идут параллельно, отчёты собираются автоматически.

Организация и построение удобной и отказоустойчивой системы оркестрирования .и мониторинга голосовых и WEB сервисов.

Автоматизация и настройка серверов и приложений внутренней CRM-системы и сайта для застройщика, обеспечение быстрой поставки разработок в продакшен. Обеспечение лёгкости развёртывания и масштабирования приложений.

внедрение и поддержка процессов CI / CD: Jenkins, Git, .NET, PowerShell/Bash, Nexus. сопровождение текущей инфраструктуры проекта: Linux/Windows, Ansible, NGINX, PostgreSQL, .NET, С#.

Управлять командой DS и MLE: управлять бэклогом, развивать компетенции, проводить найм и растить сотрудников; Формировать стратегию и дорожную карту развития AI-решений для Управления зарплатных проектов;

Разработка и обучение моделей машинного обучения для задач NLP и компьютерного зрения; Анализ и обработка данных;

Формулировка целей, KPI, оценка реализуемости, подбор команды и согласование ресурсов, бюджета и сроков. Полный цикл управления проектом: составление планов, постановка задач команде, контроль сроков, бюджета и качества исполнения.

Опыт разработки агентов на Langraph по паттерну ReAct; Опыт разработки ML-моделей от 3 лет.

Поддержка и доработка существующих SQL-запросов, хранимых процедур и функций. Разработка новых SQL-запросов, процедур и функций в соответствии с бизнес-требованиями.

Строить и проверять evals для AI-агентов: собирать тестовые наборы, считать метрики качества, искать систематические ошибки модели. Анализировать выходы агентов: распределения признаков по компаниям и отраслям, расхождения между прогонами, аномалии.

Размечать карточки компаний по заданным признакам (например, pricing power по шкале 0/1/2, уровень долговой нагрузки, зависимость от одного клиента) с обязательной ссылкой на источник. Проверять выводы AI-агента по первичке: читать отчёт или транскрипт, сравнивать с оценкой модели, фиксировать расхождения и их причину.

Обеспечивать качество (Testing), писать и актуализировать unit- и интеграционные тесты для наших AI-продуктов, повышая общую надежность системы; Поддерживать актуальность (регулярно мониторить и обновлять версии библиотек, устранять уязвимости в зависимостях);

Задачи: — Разрабатывать и оптимизировать биллинг и HTTP API; — Делать интеграции с платёжными сервисами, сервисами поставщиков, бухгалтерии, сервисами электронного документооборота и регуляторов; — Производить рефакторинг старого кода; — Писать автотесты и документацию. Требования: — Опыт коммерческой разработки на Java от 5 лет, уверенное программирование на Java 21+Spring; — Опыт работы с многопоточностью, включая задачи с многопоточным доступом к данным в памяти и построение асинхронных обработок запросов; — Опыт работы с gRPC, RabbitMQ; — Опыт работы с PostgreSQL, свободное владение SQL для написания и оптимизации сложных запросов к БД PostgreSQL 18; — Опыт разработки сетевых приложений, понимание работы протокола HTTP. Будет плюсом: — Опыт работы с Redis, RabbitMQ, golang, python, s3, Docker, уверенная работа в Linux. Условия: — Работа в продуктовой компании с технически сложным и востребованным продуктом для бизнеса; — Гибкое начало рабочего дня; — Работа в аккредитованной IT-компании; — Одна из двух льгот на выбор за счет компании (ДМС (Лучи) или корпоративное обучение английскому/испанскому языку до 2-х раз в неделю); — Корпоративные скидки от BestBenefits; — Возможность гибридного графика, офис в Москве рядом с метро Тульская; — Современные и удобные инструменты, софт и оборудование для работы. Процесс найма: 1. Скрининг с HR (40 минут); 2. Техническое задание; 3. Техническое интервью (90 минут); 4. Оффер.

Location: United States; Bulgaria; Poland; United Kingdom Workplace: Remote ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE Every model we train runs on infrastructure this role owns. We operate NVIDIA GPU clusters across bare metal and rented capacity, and we're looking for an engineer to join our small research infrastructure team and make that compute fast, reliable, and boring - in the best sense. When the clusters just work, research moves faster. Your impact is measured directly in training throughput and researcher velocity. This is a builder-operator role with real breadth: one week you're writing automation that eliminates a whole class of manual work, the next you're benchmarking a new provider's InfiniBand fabric or on-site bringing new hardware online. You'll have unusual scope and autonomy - we're a lean team where decisions are made by the people closest to the problem. WHAT YOU’LL BE DOING - Operate and improve our GPU fleet end to end: provisioning, scheduling, monitoring, upgrades, capacity planning - Build automation that keeps the fleet healthy without human intervention — node health checks, automated draining and remediation, burn-in pipelines for new capacity - Own the stack beneath the training code: OS images, NVIDIA drivers, CUDA, container runtimes, NCCL, high-speed networking (InfiniBand/RoCE) - Run and tune job scheduling (Slurm or similar) so researchers get compute fairly and fast - Build and maintain high-performance storage for datasets and checkpoints - Hunt down performance problems: stragglers, degraded links, thermal issues, flaky GPUs — and fix the class of problem, not just the instance - Evaluate rented GPU capacity: benchmark it, validate it, hold providers to their SLAs - Hands-on hardware work when it's needed: racking, cabling, diagnostics, coordinating with datacenter staff and vendors - Keep clusters secure by default: access control, network isolation, secrets REQUIREMENTS - Have run large-scale Linux server or GPU environments in production and enjoy both building and operating - Know the NVIDIA stack well — drivers, CUDA, NCCL, DCGM — or have deep systems experience and learn hardware stacks fast - Are comfortable with bare-metal environments, server hardware, and high-speed networking - Write solid automation in Python and/or Bash, with IaC tools like Ansible or Terraform - Are happy digging into noisy data (metrics, logs, PromQL) to find what's actually wrong - Like owning real scope end to end and being the person others rely on - Don't consider any task above or beneath you — datacenter trips included NICE TO HAVE - Experience supporting ML training workloads from the infra side (distributed training failure modes, checkpointing patterns) - Experience evaluating and working with GPU cloud providers - Parallel filesystems (WEKA, VAST, etc) or large-scale object storage - BMC/IPMI/Redfish automation, PXE provisioning at scale - Power and cooling awareness for dense GPU deployments LOCATION This role is remote and can be executed globally. If you prefer, you can work from our offices in London, New York, San Francisco, and Warsaw. #LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

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's customer-facing teams are often the first place a customer sees what Claude can do. As a Demo Engineer, you'll build the demos, reference implementations, and reusable tooling that help those teams make new capabilities tangible, relevant, and trustworthy, ideally within days of a product launch rather than weeks after. This role sits between product engineering, technical storytelling, and GTM execution. You'll own ambiguous, high-leverage problems end to end: prototyping an agentic experience for a new capability, then hardening it into something reliable that other teams can run on their own. You'll work closely with Product, Engineering, Marketing, Operations, and our sales and solutions teams, and you'll bring what you learn from customer-facing work back to the people building the products. Because a demo is frequently someone's first impression of what our models can and can't do, accuracy and honesty matter as much as polish. Success in this role looks like customer-facing teams demonstrating new capabilities sooner and with more confidence, recurring requests becoming reusable assets rather than one-off projects, and field insights shaping product and launch-readiness decisions. Responsibilities Own demo readiness for new and priority Claude capabilities, including environments, integrations, synthetic data, evaluations, reliability checks, and fallback paths Build prototypes, agents, and reference flows that make complex capabilities concrete and tie them to clear customer outcomes Turn recurring requests into reusable accelerators such as companion apps, templates, Skills, plugins, and self-service demo packages that scale across customer-facing teams Partner with GTM colleagues on high-impact customer moments, unblock critical technical gaps, and spot the patterns worth turning into shared assets Build internal agentic systems that automate demo preparation, validation, and asset maintenance, so demos stay current as products change Translate patterns from customer-facing work into product feedback, launch-readiness priorities, and systemic improvements with Product and Engineering Define and raise the bar for demo quality across accuracy, safety, reliability, usability, and adoption Decide when a customer need calls for a bespoke build and when it should become a shared capability You may be a good fit if you have Proficiency in Python or TypeScript, with experience shipping working software end to end Hands-on experience building applications or agents on top of LLM APIs, including prompting, tool use, and retrieval Experience designing integrations with third-party APIs, data sources, and services The ability to take an ambiguous capability or customer need to a working prototype quickly, and then make it reliable Clear communication of technical concepts to both technical and non-technical audiences, including sales and solutions teams Comfort collaborating across Product, Engineering, Marketing, Operations, and GTM teams Experience in a demo engineering, solutions engineering, sales engineering, forward deployed engineering, developer relations, or product engineering role A track record of building reusable internal tools, templates, or self-service assets that other teams adopted Hands-on experience with Claude Code, the Claude Agent SDK, the Model Context Protocol (MCP), Skills, or plugins Experience building evaluation or validation harnesses for AI systems, including reliability checks and graceful fallbacks Experience building always-on or scheduled agentic systems that automate internal workflows Experience building synthetic or sanitized datasets that make demos realistic without exposing sensitive information Front-end or product design skills that help demos feel polished and intuitive Experience supporting product launches or running launch-readiness programs A history of turning field feedback into concrete product input that influenced a roadmap A passion for making powerful technology safe and beneficial, and a commitment to representing model capabilities accurately and honestly 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: $240,000 — $315,000 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: Italy Workplace: Remote ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE As a Deployment Strategist, you'll work as part of a driven and creative team of Forward Deployed Engineers, Go to Market professionals, Product Engineers and other Strategists to deploy ElevenAgents, our enterprise AI platform, against the challenging problems our customers face. Your mission is to synthesize disconnected streams of thought into a cohesive understanding of what the most important problem is, what the existing workflows are, what the product needs, what users are motivated by, and where the impact could be. No two days are the same, but as a Deployment Strategist you can expect to: - Meet with strategic customers to deeply understand their AI transformation goals and locate their biggest pain points, particularly around customer-facing and operational workflows powered by AI agents. - Own flagship deals end-to-end — from identifying the right use case to structuring commercial terms (including outcome-based pricing, license fees, and implementation arrangements) and driving them to close. - Embed yourself deeply inside strategic customers: act as a trusted partner with a provisioned account, spend meaningful time onsite, and own delivery outcomes as if you were part of their team. - Identify high-impact use cases through close engagement with customer problems and workflows, and collaborate with Forward Deployed Software Engineers to bring them to life. - Guide customers on best practices for deploying our products (e.g. ElevenAgents); including agent design, agent orchestration, production readiness to maximize adoption and impact. - Scope out potential applications in new industries and expand our AI solutions across different sectors globally. - Present the results of our work and proposals for future work to audiences ranging from technical teams to C-suite executives. - Collaborate with our Research teams to feed field insights back into ElevenLabs' platform and models, helping shape the roadmap. - Build and deliver compelling demos of ElevenAgents and our broader AI technology to new and existing customers. - Collaborate daily with customers' engineering and executive teams to ensure agents reach production and deliver measurable business outcomes. Requirements - 3+ years of experience working with customers in a technical capacity. Direct enterprise customer experience is preferred. - Experience in product development, delivery, and change management - Commercial instinct: comfort engaging in deal conversations, structuring value propositions, and navigating enterprise sales cycles alongside GTM partners. - Basic proficiency in Python and familiarity with API integration, sufficient to prototype, demo, and communicate credibly with engineering teams. - Excellent communication and problem-solving skills; particularly the ability to simplify complex technical concepts and structure clear logic in pursuit of optimal solutions. - A proven track record of taking ownership of complex, ambiguous projects and delivering results. - Adaptability to work across different customer environments, industries, and technical use cases. - Technical aptitude and familiarity with common LLM, tooling and AI agent frameworks. - Ability to creatively map enterprise use cases and workflows to AI systems Location This role is remote-first, so it can be executed from anywhere in Italy, with a preference of Milan. Expect regular travel for customer onsites. Fluency in English and Italian and a deep understanding of the regional and cultural nuances is required. We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

Location: New York Patreon is a media and community platform where over 300,000 creators give their biggest fans access to exclusive work and experiences. We offer creators a variety of ways to engage with their fans and build a lasting business including: paid memberships, free memberships, community chats, live video, and selling to fans directly with one-time purchases. Ultimately our goal is simple: fund the creative class. And we're leaders in that space, with: - $10 billion+ generated by creators since Patreon's inception - 100 million+ free memberships for fans who may not be ready to pay just yet, and - 25 million+ paid memberships on Patreon today. We're continuing to invest in building the best creator platform with the best team in the creator economy and are looking for Software Engineering Interns to support our mission. This role is based in San Francisco or New York and open to those who are able to be in-office 3 days per week on a hybrid work model. Our summer internship is a 12-week program running May–August or June–September 2027. This internship is designed for students graduating between December 2027 and June 2028. ABOUT THE ROLE What you will do: - Make an impact. You’ll build and ship a feature that directly supports the creator economy and helps your favorite creators turn their passions into sustainable careers. - Collaborate with the best. You’ll be embedded within a world-class engineering team, working closely with engineers, product managers, designers, and data scientists to bring your project to life. - Learn and grow. With guidance from an experienced engineer mentor, you’ll tackle technical challenges, gain hands-on experience, and grow your skills throughout the internship. - Have fun! Beyond building great products, you’ll participate in team activities and events. ABOUT YOU - Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical field (i.e. Mathematics, Physics). - Strong foundation in Computer Science fundamentals and data structures. - Proficiency in one or more programming languages such as Python, Swift, Kotlin, or TypeScript. - Eagerness to learn, adapt, and grow through feedback. - Genuine passion for Patreon’s mission and supporting the creator economy. ABOUT PATREON Patreon powers creators to do what they love and get paid by the people who love what they do. Our team is passionate about making this mission and our core values come to life every day in our work. Through this work, our Patronauts: - Put Creators First | They’re the reason we’re here. When creators win, we win. - Build with Craft | We sign our name to every deliverable, just like the creators we serve. - Make it Happen | We don’t quit. We learn and deliver. - Win Together | We grow as individuals. We win as a team. We hire talented and passionate people from different backgrounds because workplace diversity and inclusion is critical to our ability to serve creators worldwide. If you’re excited about a role but your past experience doesn’t match with every bullet point outlined above, we strongly encourage you to apply anyway. If you’re a creator at heart, are energized by our mission, and share our company values, we’d love to hear from you. Patreon is proud to be an equal opportunity employer. We provide employment opportunities without regard to age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, veteran status, or any other protected class. If you need a reasonable accommodation during the interview process, please let us know via email at accomodations@patreon.com. Patreon operates under a hybrid work model, where engineering interns are expected to come into the office three days per week, excluding sick time and leave. The goal of this policy is to be intentional about the in-person time we spend together to strengthen the feeling of community at Patreon. At Patreon, we believe in fair and transparent pay. In compliance with New York and California pay transparency laws, we are sharing the expected salary range for this role. The posted salary range is dependent on the location and the level. This range may encompass multiple levels within the role’s job family. The final offer will be based on candidate’s experience, skills, competencies, and geographic location, aligning with the appropriate job level within Patreon’s leveling framework. Patreon reserves the right to modify or update compensation and benefits at any time.

Location: San Francisco Workplace: Hybrid Patreon is a media and community platform where over 300,000 creators give their biggest fans access to exclusive work and experiences. We offer creators a variety of ways to engage with their fans and build a lasting business including: paid memberships, free memberships, community chats, live video, and selling to fans directly with one-time purchases. Ultimately our goal is simple: fund the creative class. And we're leaders in that space, with: - $10 billion+ generated by creators since Patreon's inception - 100 million+ free memberships for fans who may not be ready to pay just yet, and - 25 million+ paid memberships on Patreon today. We're continuing to invest heavily in building the best creator platform with the best team in the creator economy and are looking for Software Engineering Interns to support our mission. This role is based in San Francisco or New York and open to those who are able to be in-office 3 days per week on a hybrid work model. Our summer internship is a 12-week program running May–August or June–September 2027. This internship is designed for students graduating between December 2027 and June 2028. ABOUT THE ROLE What you will do: - Make an impact. You’ll build and ship a feature that directly supports the creator economy and helps your favorite creators turn their passions into sustainable careers. - Collaborate with the best. You’ll be embedded within a world-class engineering team, working closely with engineers, product managers, designers, and data scientists to bring your project to life. - Learn and grow. With guidance from an experienced engineer mentor, you’ll tackle technical challenges, gain hands-on experience, and grow your skills throughout the internship. - Have fun! Beyond building great products, you’ll participate in team activities and events. ABOUT YOU - Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical field (i.e. Mathematics, Physics). - Strong foundation in Computer Science fundamentals and data structures. - Proficiency in one or more programming languages such as Python, Swift, Kotlin, or TypeScript. - Eagerness to learn, adapt, and grow through feedback. - Genuine passion for Patreon’s mission and supporting the creator economy. ABOUT PATREON Patreon powers creators to do what they love and get paid by the people who love what they do. Our team is passionate about making this mission and our core values come to life every day in our work. Through this work, our Patronauts: - Put Creators First | They’re the reason we’re here. When creators win, we win. - Build with Craft | We sign our name to every deliverable, just like the creators we serve. - Make it Happen | We don’t quit. We learn and deliver. - Win Together | We grow as individuals. We win as a team. We hire talented and passionate people from different backgrounds because workplace diversity and inclusion is critical to our ability to serve creators worldwide. If you’re excited about a role but your past experience doesn’t match with every bullet point outlined above, we strongly encourage you to apply anyway. If you’re a creator at heart, are energized by our mission, and share our company values, we’d love to hear from you. Patreon is proud to be an equal opportunity employer. We provide employment opportunities without regard to age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, veteran status, or any other protected class. If you need a reasonable accommodation during the interview process, please let us know via email at accomodations@patreon.com. Patreon operates under a hybrid work model, where engineering interns are expected to come into the office three days per week, excluding sick time and leave. The goal of this policy is to be intentional about the in-person time we spend together to strengthen the feeling of community at Patreon. At Patreon, we believe in fair and transparent pay. In compliance with New York and California pay transparency laws, we are sharing the expected salary range for this role. The posted salary range is dependent on the location and the level. This range may encompass multiple levels within the role’s job family. The final offer will be based on candidate’s experience, skills, competencies, and geographic location, aligning with the appropriate job level within Patreon’s leveling framework. Patreon reserves the right to modify or update compensation and benefits at any time.