Вакансии

Location: Москва Workplace: гибкий Мы работаем над самой масштабной платформой в рунете по количеству пользователей, объёму, форматам и времени потребления. Сообщества и Профили ВКонтакте — одни из ключевых драйверов продукта, позволяющие авторам публиковать контент и находить свою аудиторию. ВКонтакте проходит активную трансформацию в платформу уникального авторского контента с лицом, которое мы сопровождаем масштабными продуктовыми и техническими запусками. Мы разрабатываем всё, что связано с сообществами и личными страницами пользователей: инструменты для их ведения, роста и монетизации, каталоги, витрины и многое другое. Мы ищем руководителя, который обеспечит успешную качественную поставку продуктовых и технических инициатив, актуализацию технологий и высокий уровень инженерной культуры в команде. У нас интересно, потому что: Результат вашей работы оценят десятки миллионов людей, в том числе ваши коллеги из IT-сферы, друзья и близкие Вы будете работать над сложными проектами, требующими по-настоящему высокого уровня экспертизы Ваша роль позволит раскрыть и технические, и организационные, и управленческие навыки — у нас все задачи «со звёздочкой» Задачи Руководить кросс-функциональной командой из 10 специалистов В кооперации с менеджером продукта формировать и транслировать цели команды Прорабатывать и доносить до пользователей продуктовые инициативы в высоконагруженном продукте с десятками миллионов DAU и десятками тысяч RPS Организовывать scrum-ритуалы Проводить приоритизацию и планирование работ на уровне спринтов и кварталов, обеспечивать сходимость планов Отвечать за качество поставок команды: количество багов, автоматизация тестирования, инциденты на продакшене и дежурства по продукту Выстраивать архитектуру продукта, отвечающую бизнес-задачам Поддерживать фокус и вовлечённость команды Поддерживать практические навыки разработки, регулярно работая с кодом (написание, ревью, исследования) Требования Опыт коммерческой разработки от пяти лет Опыт управления кросс-функциональными командами Умение контролировать и оптимизировать работу в команде через технические, организационные и процессные изменения Умение объяснять нагрузку команды, архитектуру, оценки и статусы проектов представителям бизнеса понятным языком Сильные навыки технического проектирования Понимание работы с масштабируемыми высоконагруженными системами: кеширование, балансировка, шардирование, репликация Понимание принципов отказоустойчивости, управления нагрузкой и деградациями Обширный опыт проработки продуктовой функциональности Опыт декомпозиции, оценки, планирования и доведения проектов до результата Опыт построения мониторинга функциональности Стремление успешно доносить проекты до пользователей, преодолевая препятствия на пути Будет плюсом успешный опыт применения LLM в рабочих проектах

-Сбор, анализ и декомпозиция требований к изменениям. -Моделирование бизнес-процессов в BPMN, разработка системных решений и технических требований.

- Развивать backend-сервисы на Go и архитектуру платформы. - Обеспечивать надёжность, безопасность и масштабируемость системы.

Разработка и настройка AI системы, базирующиеся на текстовой корпоративной информации (включая обучение/fine-tuning моделей); Оценка и оптимизация AI-решения, модели машинного обучения, алгоритмы AI;

Обробка клієнтських запитів на рівні L3-підтримки, що передбачає розуміння фінансових ринків.

Проектировать и разрабатывать расширения без изменения типовой конфигурации. Реализовывать интеграции 1С с учётными системами, CRM, ЭДО и торгово-складским оборудованием.

Задачи: — создавать кликабельный прототип и основной фронт продукта с помощью ИИ (Claude Code, Codex, Cursor, v0, Lovable) на уровне продуктов крупных технологических компаний; — разрабатывать роадмап и CJM, включая этапы, сроки, ресурсы и риски; — самостоятельно выходить на рынок, находить вендоров и партнёров с API, вести переговоры, получать договоры и доступы; — рассчитывать экономику продукта и демонстрировать результаты партнёрам. Требования: — опыт запуска продукта с нуля, включая сборку прототипов с использованием ИИ; — развитый визуальный вкус, понимание сетки, типографики, анимаций, мобильных экранов и их состояний; — опыт запуска интеграций с внешними партнёрами и построения роадмапов; — понимание API и интеграций на уровне постановки и проверки (без необходимости быть разработчиком); — умение считать экономику продукта: оборот, комиссии, доли сторон; — предпочтение кандидатам с опытом работы в крупных технологических компаниях. Условия: — достойная оплата; — прозрачный и понятный бонус с постоянным ростом дохода.

Location: Paris; London ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE As a People Tech & Analytics Engineer on the People team, you will build the systems, data pipelines, and automations behind how Mistral runs People Operations. Reporting to the People Tech & Analytics Lead, you will turn the roadmap into reality: wiring our HR tech stack together, making data flow reliably between systems, and automating people processes with third-party tools as well as Mistral's own models, agents, and APIs. This is an individual contributor role for someone who loves building. You will spend most of your time in the systems and the data, deep-diving into problems: connecting HRIS, ATS, payroll, identity, and finance tools, standing up the data layer behind our people metrics, and shipping automations that remove manual work from the People team. If you are a data engineer or people technology specialist who wants to deliver meaningful automation outcomes at Europe's largest AI company, this is the role for you. WHAT YOU WILL DO - Build, maintain, and troubleshoot integrations and data pipelines across our HR systems (HRIS, ATS, payroll, identity and finance), run data quality checks, and fix inconsistencies at the source. - Implement and evolve the Metabase visualisation layer of our people data lake, build the dashboards and self-serve reporting managers and People partners rely on, as well as the context layer on HR data, supporting the move to conversational insights in collaboration with the Data team. - Design, build, test and document automated workflows, mainly with Mistral's own models, agents and APIs, with human review wherever decisions affect people, monitor live automations with alerting, error handling, logging and runbooks, and prototype AI use cases on people processes, productionising the ones that prove their worth. - Implement configuration changes across the HR tech stack (workflows, fields, roles and permissions, new countries and entities), support testing and rollout of system changes and integrations, and act as first-line troubleshooter for the People team, leading issue resolution through to production with a clear audit trail. - Architect end-to-end HR workflows with key stakeholders in HR Operations, Business Partnering and Reward, and implement data governance in practice: quality standards, access controls, retention rules and audit trails for employee data. - Provide clear enablement materials in Notion so the People team and managers can use our systems confidently, with strong tier-1 support via a bot. WHAT WE'RE LOOKING FOR - Experience in analytics engineering or HR technology, ideally within an HR or People function or working closely with one as a stakeholder. - Strong practical SQL: you are comfortable building pipelines and transformations yourself. - Hands-on experience with HR systems such as Ashby, and integrating them with ATS, payroll, identity and finance tools via APIs, middleware and data pipelines. - Real automation experience: you have built and maintained workflows in n8n or similar tools such as Make, Zapier, Workato or Langdock, and you are excited to do the same with Mistral's own models and tooling. - Working experience with data warehousing (Snowflake, BigQuery) and the modern data stack (dbt or similar), and with visualisation tools such as Metabase, Looker, Tableau or Power BI. - You are low-ego and team-spirited, and you take a prioritised problem and run with it in ambiguity: you would rather build a first version and iterate than wait for a perfect spec. You start from the HR need, not the technology, stay hands-on, and have a track record of building foundations in growing organisations without creating legacy. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Paris; London Workplace: Hybrid ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE As a People Tech & Analytics Lead on the People team, you will turn people data into better decisions at Mistral. You will own the roadmap for our HR technology stack, from the HRIS transformation to integrations and data architecture, and build the analytics, dashboards and models that help our leaders understand how we hire, grow, retain and reward our people, and act on what they learn. You will do it the Mistral way: automating people processes with our own models, workflows and agents, and partnering with HR Operations, Business Partnering, Legal, Finance and IT to turn business needs into well-designed systems. You will lead a small team, starting with a People Tech & Analytics Engineer, alongside a large team of agents running our back-end HR processes, giving a fast-growing global company the clarity to make great people decisions at speed, with a seamless employee experience from hire to retire.   What You Will Do - Own the people-tech roadmap and the HR tech stack end to end: what we build, buy, integrate or retire, the configuration standards, workflows, roles and permissions that govern it, vendor relationships, and the data pipelines across HRIS, ATS, payroll, identity and finance so data flows reliably between systems. - Define the people metrics that matter and lead analysis on workforce trends, retention and organisational health, turning insight into clear recommendations and workforce planning. - Oversee dashboards, self-serve reporting and conversational insights, so managers get answers without waiting on a spreadsheet. - Drive people-data governance, partnering with Legal and Privacy to keep people data compliant and AI use on it lawful, transparent and proportionate. - Own the automation and AI roadmap for people processes: build agents and workflows with Mistral's own models and APIs, set the standards for how they're designed, tested and monitored, and lead cross-functional projects from scoping to rollout. - Manage and mentor the People Tech & Analytics Engineer, set priorities, and grow the team as needs evolve.   WHAT WE'RE LOOKING FOR - Deep experience in HR technology and people analytics, ideally in a high-growth tech company: expert in at least one, broad in both, and comfortable building from scratch. - A strong product mindset: you turn complex business and employee needs into intuitive, practical solutions, starting from the HR need, not the technology. - Experience with global HR tech platforms such as HiBob, Deel or Rippling, and the integrations, data architecture and governance connecting them to ATS, payroll, identity and finance. - Strong workflow-automation experience (n8n or similar) and a real appetite to build with our own LLMs, agents and APIs, with the judgement to know where AI helps and where it doesn't. - Solid analytics foundations (forecasting, visualisation, modern data stack such as Snowflake or BigQuery), experience building people analytics and data governance on workforce data, and working knowledge of GDPR as it applies to employee data. - Experience presenting to senior leaders, turning data into clear, decision-ready recommendations, and managing or mentoring technical or analytical team members, with the hands-on pragmatism to prototype and review technical work yourself. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Utah ; Wisconsin As a full-service engineering, design, and construction services firm, Mi-Tech delivers comprehensive support for utility and infrastructure projects from planning and design through execution. Our multidisciplinary team provides practical, innovative solutions that emphasize cost efficiency, constructability, and long-term value. Founded in 1985, Mi-Tech has built a reputation for excellence in engineering, design, environmental, laboratory, technical, and field services across multiple industries. The 2026 merger with J.D. Hair & Associates further strengthened our capabilities and resources, adding decades of specialized expertise in trenchless, geotechnical, and structural engineering to our core offerings. As a proud member of the Michels Family of Companies, Mi-Tech collaborates with an internationally respected team to deliver integrated, end-to-end engineering, design, and construction solutions that meet the highest standards of quality and performance. As a Senior Geostructural Engineer, you will apply geotechnical and structural engineering principles to support the development of innovative designs for specialty geostructural technologies (earth retaining structures, deep foundations, and ground improvement) that will ultimately be constructed by Michels’ operations team. Primary job responsibilities include developing calculation submittals, coordinating development of design and shop drawings, and supporting project pursuits and bids through preliminary evaluations and analyses. These efforts will be executed using state-of-the-art methods and technology. Additional tasks include mentoring and supporting other engineers, communication and coordination with design and field teams, and providing support to engineering leadership with any other assigned duties. Note that while site visits and general travel will be periodically required or encouraged, it will not be part of your routine responsibilities. Why Mi-Tech Services Inc.? We are committed to hiring the best people and giving them the best equipment. We are dedicated to improving energy distribution & telecommunication services that serve and improve the communities around us. Our steady, strategic growth revolves around a commitment to quality. If it’s worth doing, it’s worth doing right. We are family owned and operated. We work to see each other succeed, not to increase a stock market valuation. We invest an average of $5,000 per employee on training each year. We want each of our team to learn and grow. We believe everyone is responsible for promoting safety, regardless of job title. We are our brothers’ and sisters’ keeper. We are a part of the Michels Family of Companies – one of North America’s largest, most diversified energy and infrastructure construction companies. Why you? You like to surround yourself with dedicated, genuine, value-driven people. You are up to new challenges and opportunities. You like to learn and try new things. You cringe when you hear: “Because that’s the way we’ve always done it.” You like to know your efforts are noticed and appreciated. You believe that individual commitment to a group effort is key to success. You want your work to make a tangible difference in people’s lives. What It Takes Bachelor’s degree in civil engineering (geotechnical and/or structural emphasis) Master’s degree in geotechnical or structural engineering is preferred. 4+ years of experience in the design of earth retaining structures, deep foundations, and/or ground improvement Hold an active Professional Engineering (PE) license in any state. Proficiency with MS Excel, Mathcad, AutoCAD Proficiency with geostructural design software is preferred. This includes, but is not limited to: Shoring Suite, SNAIL, DeepEx Products (DeepEx, SnailPlus, HelixPile), Ensoft Products (LPILE, GROUP), Rocscience Products (SLIDE, SETTLE, RSPILE), PLAXIS, etc. Working knowledge of structural design methods and codes (AISC, ACI, AASHTO) Previous construction field experience or employment with a contractor is a plus. Candidate must possess a strong attention to detail and the ability to work in a quickly changing environment. Excellent interpersonal skills, oral and written communication are required. Must possess a valid driver's license and an acceptable driving record as determined by the Michels Review Team AA/EOE/M/W/Vet/Disability https://www.michels.us/website-user-privacy-policy/

• Техническое лидерство: управлять техническим долгом, повышать зрелость архитектуры ИС и выстраивать производственный процесс в Agile/Scrum команде. • Аналитика и проектирование: собирать и анализировать требования бизнеса, проектировать интеграционные и платформенные решения (микросервисы) с нуля.

▫️Мониторинг работоспособности платформы в вечернее и ночное время. ▫️Ответы на вопросы в саппорт-чате: разъяснение, как работает система, и помощь, если что-то непонятно.

-Ядро платформы на Python: сессии, ходы агента, политики заказчика, учёт; агентный цикл под бюджет хода.

🔺Проектировать и развивать масштабируемую backend-архитектуру;

MB | Mercado Bitcoin is looking for a tech lead to guide architecture and engineering decisions, connect technology with business priorities, lead agile delivery, and develop a multidisciplinary team.

Location: New York City, NY; San Francisco, CA; Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As part of our growing Data Science and Analytics team, you will play an instrumental role in our company's mission of building safe and beneficial artificial intelligence by driving data-informed decision making across our organization. You bring experience from high-bar teams and are eager to help shape the norms and best practices of a growing data science team as Anthropic continues to scale. In this unique company, technology, and moment in history, your work will be critical to informing our strategy as we deploy safe, frontier AI at scale to the world. You'll be the senior data science leader for Model Experience and a strategic thought partner to product, engineering, and research leaders. Working where frontier AI research reaches the public, you'll help shape model roadmap and launch decisions, bringing a point of view on how users experience our models and what good looks like beyond benchmark scores. As a tech lead manager, you'll also hire and manage a team of data scientists, setting their agenda, personally leading the highest-stakes analyses, and raising the bar for how data shapes model and product decisions. Responsibilities: Act as a strategic thought partner to product, engineering, and research leaders, helping shape model roadmap priorities, launch decisions, and the major bets the team makes Set the data science agenda for Model Experience, deciding where the team can have the most impact on model development and launch decisions and what it should deprioritize Hire, manage, and develop a team of data scientists, coaching them to move from answering questions to shaping decisions Frame the most important and ambiguous questions about model quality and user experience, size the opportunities, and make clear recommendations, including when they challenge the current direction Define how Model Experience measures success, establishing the core metrics and measurement frameworks across external products and internal testing that align teams and leadership on what matters Set the standard for experimentation and causal inference across Model Experience, including where launches lack a clean A/B test, and personally lead the highest-stakes analyses Turn complex analyses of model and user behavior into clear narratives and recommendations that drive decisions with senior leadership and cross-functional partners Establish foundational data practices and shape the analytics infrastructure Model Experience needs to support rapid iteration and decision-making as our models and products evolve You may be a good fit if you: Have extensive experience in data science, including leading analytics for a product or research area at significant scale Have 3+ years managing data science teams, including setting team direction, hiring, and developing senior data scientists Have been a trusted partner to senior product, research, and business leaders, with clear examples of changing a roadmap or high-stakes decision Bring strong product sense and business judgment, including the ability to frame the right question and take a position with incomplete information Have deep expertise in experimental design, causal inference, and statistical modeling at high scale, with enough fluency in Python and SQL to stay hands-on and guide others' technical work Communicate clearly in writing and in presentations, including to executive audiences Have a bias for action and thrive in ambiguous, fast-moving environments where you must create clarity and drive progress Care about the company's mission of building helpful, honest, and harmless AI Strong candidates may also have: Experience with AI/ML products, large language models, or developer tools in the AI/ML ecosystem Experience as a tech lead manager or player-coach, balancing hands-on technical work with people management Experience building or scaling a data science team in a fast-growing organization Experience working closely with Product or Research teams, especially on LLM or AI products Comfort working with unstructured data 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: $460,000 — $460,000 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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.

— Acquire new B2B clients. — Sell SaaS products, software development services, and vendor solutions (Microsoft, DocuSign).

Location: New York City, NY; San Francisco, CA | New York City, NY; Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As part of our growing Data Science and Analytics team, you will play an instrumental role in our company’s mission of building safe and beneficial artificial intelligence by driving data-informed decision making across our organization. You bring experience from high-bar teams and are eager to help shape the norms and best practices of a growing data science team as Anthropic continues to scale. In this unique company, technology, and moment in history, your work will be critical to informing our strategy as we deploy safe, frontier AI at scale to the world. You’ll be the senior data science leader embedded in our Core Apps product team and a strategic thought partner to its product leads. You’ll help set product direction for Claude Code and other new bets across Core Apps: bringing a point of view on where to invest, how to grow our Apps business, and how to deliver more value for our users. As a tech lead manager, you’ll also manage a small team of Product Data Scientists, setting their agenda and raising the bar for how data shapes product decisions. Responsibilities: Act as a strategic thought partner to Core Apps product leads, helping shape product strategy, roadmap priorities, and the major bets the team makes Set the data science agenda for Core Apps, deciding where the Product Data Science team can have the most impact and what it should deprioritize Manage and develop a small team of Product Data Scientists, coaching them to move from answering questions to shaping decisions Frame the most important and ambiguous questions facing the business, size the opportunities, and make clear recommendations, including when they challenge the current direction Define how Core Apps measures success, establishing the core metrics and measurement frameworks that align teams and leadership on what matters Set the standard for experimentation and causal inference across Core Apps, and personally lead the highest-stakes analyses Turn complex analyses into clear narratives and recommendations that drive decisions with senior leadership and cross-functional partners Establish foundational data practices and shape the analytics infrastructure Core Apps needs to support rapid iteration and decision-making as our products grow You may be a good fit if you have: Have extensive experience in data science, including leading analytics for a product area at significant scale Have 3+ years managing data science teams, including setting team direction and developing senior data scientists Have been a trusted partner to senior product and business leaders, with clear examples of changing a roadmap or high-stakes decision Bring strong product sense and business judgment, including the ability to frame the right question and take a position with incomplete information Have deep expertise in experimental design, causal inference, and statistical modeling at high scale, with enough fluency in Python and SQL to stay hands-on and guide others’ technical work Communicate clearly in writing and in presentations, including to executive audiences Have a bias for action and thrive in ambiguous, fast-moving environments where you must create clarity and drive progress Care about the company’s mission of building helpful, honest, and harmless AI Strong candidates may also have: Experience with AI/ML products, large language models, or developer tools in the AI/ML ecosystem 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: $460,000 — $460,000 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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.