Вакансии

Задачи: — Разработка и поддержка автоматизированных тестов на Python — Автоматизация управления конфигурацией системы обработки трафика — Написание тестовых скриптов для генерации/воспроизведения мобильного трафика, валидация соответствия трафика спецификациям 3GPP — Нагрузочное тестирование системы обработки мобильного трафика: выявление узких мест (в том числе связанных с оборудованием) — Разработка и поддержка веб-интерфейса для конфигурирования и мониторинга системы (FastAPI/JS) — Интеграция тестов в CI/CD — Взаимодействие с разработчиками: воспроизведение, диагностика, локализация дефектов Требования: — Опыт автоматизации тестирования от 3 лет, с акцентом на системное/тестирование высоконагруженных систем — Опыт написания скриптов на Python и Bash (работа с pcap, CLI-командами, управление сетью, SSH) — Умение анализировать pcap-файлы, валидировать соответствие протоколам (3GPP и др.) — Знание тест-фреймворков: pytest, контекстные фикстуры, параметризованные тесты — Глубокое знание Linux: файловая система, процессы/потоки, сеть (TCP/IP, NUMA, PCI/PCIe), мониторинг (sysstat, eBPF, perf) — Понимание аппаратной платформы: NUMA-распределение, DPDK, сетевые карты Intel X710, irq affinity, DMA, влияние CPU-топологии на latency — Навыки работы с метриками: сбор (prometheus/node_exporter), анализ (p95/p99 latency, throughput, context switches) — Опыт разработки веб-интерфейсов на Python/JS (FastAPI, Flask или аналогичные): создание REST API, обработка HTTP-запросов, интеграция с фронтендом (HTML/CSS/JS — базовое понимание) — Опыт с CI/CD-инструментами (GitLab CI/Jenkins), интеграция тестов в pipeline — Английский язык — B1 (чтение спецификаций, технической документации) Условия: — ДМС + стоматология — Корпоративные скидки в фитнес-клуб World Class — Корпоративный тариф на абонементы FITMOST — Программа корпоративных скидок Best Benefits – на спорт и не только — Спортивные мероприятия (турниры по футболу, волейболу, киберспорт, забеги, шахматы) — Курсы английского языка, в том числе с носителем языка — Сообщества по интересам: вместе читаем книги, ходим на интересные мероприятия и делимся маршрутами путешествий — Внешние профессиональные курсы и конференции, сертифицированное обучение, которые вы выбираете сами — Профильные митапы – организовываем, проводим и принимаем участие — Билеты со скидкой в Музей криптографии для сотрудников и их семей — Комфортный офис в Москве с кофе-поинтами и разнообразными снеками — Насыщенные и яркие корпоративные праздники — Классный мерч

Задачи: — сопровождать платформы оркестрации и автоматизации ИТ-инфраструктуры у заказчиков: внедрение платформ оркестрации; — реализация и сопровождение CI/CD Pipeline, миграция систем и сервисов; — поддержание решений по высокой доступности и отказоустойчивости; — реализация дополнительного функционала к платформе контейнеризации (Persistent Storage, backup, мониторинг, сети); — поддерживать архитектуру DevOps решений у крупных корпоративных заказчиков, планировать и сопровождать миграции систем, решать проблемы производительности систем. Требования: — высшее техническое образование; — релевантный опыт работы от двух лет; — приветствуется опыт работы в поддержке высокодоступных систем 24/7; — опыт работы с Kubernetes либо с OKD/Openshift, российскими аналогами; — опыт работы с Nginx, Linux, Ansible, git; — опыт написания скриптов на bash/python/go или других языках; — понимание общих принципов работы ИТ-систем, сетевого стека, балансировки нагрузки; — глубокое понимание механизмов работы оркестраторов, опыт диагностики проблем внутри кластера; — опыт внедрения, поддержки и развития средств автоматизации процессов доставки приложений (CI/CD). Будет плюсом: — опыт работы с распределёнными хранилищами Ceph; — опыт работы с Kafka, ELK, Prometheus, Grafana; — опыт работы с OKD/Openshift; — наличие сертификата Certified Kubernetes Administrator. Условия: — аккредитованная ИТ-компания с 35-летним опытом на рынке; — график работы 5/2 с 10:00 до 18:30; — гибкий социальный пакет после испытательного срока (ДМС, компенсация фитнеса и изучения иностранных языков); — компенсация до 100% оклада 10 рабочих дней больничного в год; — социальная поддержка в сложных жизненных ситуациях, масштабные выездные мероприятия, круглосуточные медицинские консультации; — возможность роста и обмена опытом, регулярные обучения, курсы и сертификации за счёт компании; — участие в ключевых профильных мероприятиях ИТ-рынка; — необходимая техника для комфортной работы; — онлайн-клубы по интересам (Jet Movies, Jet Travel, Jet Зверушки, сноуборд и горные лыжи, English Speaking Club, Фотоклуб); — корпоративные скидки на различные услуги и товары; — команда профессионалов, ориентированных на результат и поддержку друг друга.

Задачи: — Проектировать, разрабатывать и оптимизировать графы знаний на базе Neo4j. — Разрабатывать решения Graph-RAG для задач поиска, извлечения информации и использования AI. — Проектировать модели графовых данных, связи между сущностями и общие модели данных. — Создавать и автоматизировать пайплайны для загрузки, трансформации и обработки данных. — Работать со структурированными и неструктурированными наборами данных, включая профилирование, сбор данных, валидацию и проверки качества. — Разрабатывать масштабируемые потоки обработки данных с использованием AWS-сервисов. — Работать с потоковыми данными и обработкой на базе Kafka. — Участвовать в развитии архитектуры, управляемой метаданными, каталогов данных и принципов Data Fabric. — Участвовать в автоматизации data pipelines и разработке пайплайнов на базе AI-агентов. Требования: — Сильный практический опыт работы с Neo4j, включая моделирование графовых данных и оптимизацию запросов. — Практический опыт проектирования и реализации решений Graph-RAG. — Сильные навыки разработки на Python. — Опыт работы со stream processing и Kafka. — Практический опыт работы с технологиями обработки данных в AWS, включая AWS Glue, Data Catalog, Data Lake/Lake Formation и связанные сервисы. — Глубокое понимание data pipelines, data modeling и data architecture. — Опыт обработки как структурированных, так и неструктурированных данных. Будет преимуществом: — Опыт работы с PostgreSQL. — Сильный опыт построения data pipelines на AWS. — Опыт работы с LangChain, CrewAI или аналогичными агентными фреймворками. — Опыт автоматизации data pipelines с использованием AI-агентов. — Знание распространенных моделей данных, metadata-driven processing и принципов Data Fabric. — Опыт интеграции Knowledge Graphs с решениями на базе RAG/LLM. Требования по доступности: — Возможность частично пересекаться с рабочими часами по тихоокеанскому времени США (US Pacific Time), включая доступность до 11:00 AM PT. Условия: — Возможности для профессионального и карьерного развития. — Поддержка в получении профессиональных сертификаций. — Программа менторства. — Медицинская страховка. — Участие в корпоративных мероприятиях. — Гибкие форматы работы (гибридный или удалённый). — Оплачиваемый отпуск и больничные.

Location: Americas Remote Hello, I’m Steve, Director of Sales at Customer.io ! We're expanding our sales team in the United States and seeking motivated and successful Account Executives at the Mid-Market level to join us! This role offers a unique opportunity to take your sales career to the next level, with potential for upward mobility. As an Account Executive, you’ll represent Customer.io to prospective customers and drive growth within key market segments. This is a full-cycle sales role (prospect, demo, close), where you'll be fielding both inbound and outbound demand. About Customer.io Over 9,000 companies — from scrappy startups to global brands — use our platform to send billions of emails, push notifications, in-app messages, and SMS every day. Customer.io powers automated communication that people actually want to receive. We help teams send smarter, more relevant messages using real-time behavioral data. Responsibilities : Pipeline Development and Management : Build and manage a pipeline through self-sourced leads and SDR-supported leads to drive new customer acquisition. Full-Cycle Sales Execution : Lead the entire sales process from prospecting and discovery through demo and closing, focusing on new business acquisition within targeted accounts. Customer Needs Analysis and Solution Alignment : Conduct discovery calls to understand customer business challenges and goals. Position Customer.io 's solutions to meet these needs effectively. Collaboration and Cross-Functional Feedback : Work closely with the SDR team for lead quality feedback and collaborate with Customer Success and Technical Support for a smooth hand-off post-sale. Performance Tracking and Reporting : Own and report on individual sales metrics, including pipeline status and progress towards targets, to support informed decision-making. Qualifications : Experience: 2+ years of experience in full-cycle B2B SaaS or MarTech sales, handling mid-market accounts Location: We are currently hiring for positions based in the United States. Candidates must be located in one of these regions to be considered for the role. B2B SaaS or MarTech Experience : Proven success in new customer acquisition and closing deals within the B2B SaaS space, preferably MarTech Sales Methodology : Familiarity with MEDDPICC or a similar framework that supports consultative selling and discovery to close. Communication Skills : Excellent written and verbal communication skills, with a professional and engaging presence to build rapport with new prospects. Problem Solving : Strong ability to identify customer business needs and position relevant solutions effectively to drive acquisition Deal Focus : Primarily handles mid-market accounts with shorter sales cycles and lower ACV deals Support : Works closely with our SDR team for lead generation, with a balance between inbound and self-sourced opportunities Responsibilities : Engage in high-volume prospecting, cold and warm outreach Manage the full sales cycle for deals typically under $50,000 ACV Drive growth within mid-sized clients, nurturing relationships and uncovering business needs Compensation & Benefits We believe in transparency. We are offering a compensation package of $95,000 base + $95,000 variable for a total $190,000 OTE USD (or equivalent in local currency), subject to market rate adjustment. In addition to base salary, this role includes an equity grant in the form of stock options, so you share in the success you help build. We know our people are what make us great, and we’re committed to taking great care of them. Our inclusive benefits package supports your well-being and growth, including 100% coverage of medical, dental, vision, mental health, and supplemental insurance premiums for you and your family . We also offer 16 weeks paid parental leave, unlimited PTO , stipends for remote work and wellness, a professional development budget, and more. See full benefits here → Our Process No gotchas, no trick questions - just a clear, human process designed to help both of us make an informed decision. 30-minute video call with Recruiter 45-minute video call with Manager 30-minute video call with Bar Raiser 60-minute Case Study and Discovery Call w/ the Hiring Team All final candidates will be asked to complete a background check and employment verifications as part of our pre-employment process. Customer.io recognizes the stifling impact of systemic injustice on diverse communities. We commit to using our influence to increase inclusion and equity within the tech industry. We strive to build an inclusive team culture, implement bias-free hiring practices, and develop community partnerships to expand our global impact. Zoom is the only video conference platform that we use, virtual interviews will be conducted using the video capability (i.e., not via the chat), and offers will be extended in writing on official Customer.io letterhead. Please be vigilant in all of your job search activity, and if you have any questions please contact jobs@customer.io . Join us! Check out our careers page for more information about why you should come work with us! We are passionate about our core values of Empathy, Transparency, Responsibility, and Awkwardness and are looking for new coworkers to share and build that passion!

Location: San Francisco, CA WHAT IS BOX? Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia. By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift. WHY BOX NEEDS YOU As a BDR Manager, you will lead a team of BDRs (Outbound Business Development Reps) that focus on generating meetings, opportunities, and pipeline in net-new and customer accounts for our US Enterprise market segment. You will join a team of highly motivated, energetic sales professionals that take pride in landing new customers, uncovering additional use cases within our current install base, generating pipeline, and delivering the Box message to a wide base of accounts across various industries. WHAT YOU'LL DO Hire, train, manage a team of Business Development Representatives Develop and execute career development plans for growth within the Box Sales organization Set and maintain a high-performing culture and morale through coaching and mentorship Coach BDRs on complex, multi-threaded outbound efforts - including account research, messaging, and strategic pipeline generation Strategize with Commercial AEs, sales and marketing counterparts on pipeline and prospecting initiatives to meet company objectives Report on team performance and forecast to senior leadership Improve team output and efficiency over time by optimizing systems and processes through AI automation WHO YOU ARE 1+ years of experience managing sales professionals Preference for someone with a strong track record of quota attainment in both SDR/BDR and Account Executive roles Proficiency in BDR Tech Stack: Outreach, Salesforce, LI Sales Navigator, ZoomInfo, ZRA, Qualified, 6Sense Collaborative and excels working with cross functional teams, like Sales Strategy, Marketing, Sales & Marketing Operations Provide detailed analysis, reporting and accurate forecasting using Salesforce and other data sources Hire, mentor, guide, and support to develop the skills and careers of your BDRs Experience successfully managing people to achieve performance goals Excellent communication, organizational and time management skills Experience managing or selling in Enterprise SaaS Passion for AI Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office a minimum of 3 days per week. Your Recruiter will share more about how we work and company culture during the hiring process. At Box, we believe unique and diverse experiences benefit our culture, our products, our customers, our company, and our world. We aim to recruit a passionate, high-performing workforce that reflects the world we live in. If you are head-over-heels about this role but unsure if you meet all the requirements, we encourage you to apply! EQUAL OPPORTUNITY We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation. Box strives to respect the dignity and ‎‎independence of people with disabilities and is committed to giving them the same ‎‎opportunity to succeed as all other employees. Inclusiveness is core to our culture at Box, and we strive to ensure you get the most from your interview experience. Box makes reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please complete this form . Reasonable accommodations may include scheduling adjustments, document dictation and beyond. Notice to applicants in Los Angeles:  Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chair Ordinance.  The Fair Chance Ordinance is provided here . Notice to applicants in San Francisco:  Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chair Ordinance.  The Fair Chance Ordinance is provided here . For details on how we protect your information when you apply, please see our Personnel Privacy Notice. If you are a California-resident, please read our California Applicant & Candidate Privacy Notice here . NOTICE OF USE OF AI At Box, we believe in the power of AI to improve the recruiting process while keeping people at the heart of every decision. For more information on the use of AI in our hiring process, please visit our webpage here . #LI-Hybrid Box is committed to fair and equitable compensation practices. Actual base salary (or OTE if commissionable role) is dependent upon factors such as: knowledge, skill level, experience, and work location. This role is also eligible for equity and benefits. For more information , check out our benefits and perks . In accordance with OFCCP compliance, here is the Pay Transparency Provision . San Francisco Pay Range $170,000 — $200,000 USD

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations Washington DC or Northern VA About the Role We are looking for a Director of Sales to manage a team of Named Account Executives in the Washington DC, Raleigh or Charlotte area. This leadership role within the Enterprise team focuses on both the acquisition of new accounts and the expansion of existing customer accounts. The ideal candidate will possess a strong sales management background and a technical foundation, enabling them to drive engagement with both technical professionals and executive buyers. As a Sales Director, you will have the opportunity to position and differentiate the Enterprise platform experience for Cloudflare while reinforcing strong pipeline and automated forecast management practices across Security, Network, Development, and Infrastructure teams. Responsibilities Accurately forecast commits by month and quarter, leveraging automated internal data layers and predictive metrics to consistently deliver attainment to quarterly and annual sales targets. Oversee, coach, and motivate a team of 8 Account Executives, measuring success against overall quota attainment, new logo acquisition, and expansion tactics. Develop and uplevel team selling abilities through consistent focus on enablement, solution selling, and interpreting automated, data-led customer insights. Assist in the continued codification and execution of product-focused playbooks to connect platform data to Cloudflare solutions that solve critical business challenges. Collaborate with Sales Enablement, Product, and Product Marketing to optimize sales training and accelerate execution around newly launched features and products. Maintain a robust funnel of new hire candidates by continuously interviewing and building a strong network of potential talent. Hold regular 1x1s with team members, maintaining open and transparent communication while monitoring the proficiency and adoption of sales enablement tooling and resources. Desirable Skills, Knowledge, and Experience 5+ years of Sales Management experience leading high-performing sales teams at a high-growth SaaS company. Proven record of high performance in consistently meeting and exceeding team plan through strategic acquisition and expansion tactics. Experience developing relationships with highly technical customers and selling through modern, data-driven Product-Led Growth (PLG) models. Coaching-level knowledge of Gap Selling, Sandler, Challenger, or other structured sales methodologies. Strong talent for multi-threading across business units to identify, engage, and close new divisional buyers, as well as driving consensus among internal and external stakeholders. Excellent written communication, presentation, and pipeline management skills. Bonus Points Experience leading sales teams specifically within Cloud Security or Hyperscaler ecosystems. Experience navigating complex accounts undergoing Mergers & Acquisitions (M&A) to expand the partner ecosystem. Compensation Compensation will be adjusted based on location and level. For Washington DC Area based hires: Estimated On Target Earnings of $415,000 - 571,000 This role is eligible to earn incentive compensation under Cloudflare’s Sales Compensation Plan. The estimated annual salary range includes the on-target incentive compensation that may be attained in this role under the Sales Compensation Plan. Equity This role is eligible to participate in Cloudflare’s equity plan. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits Medical/Rx Insurance Dental Insurance Vision Insurance Flexible Spending Accounts Commuter Spending Accounts Fertility & Family Forming Benefits On-demand mental health support and Employee Assistance Program Global Travel Medical Insurance Financial Benefits Short and Long Term Disability Insurance Life & Accident Insurance 401(k) Retirement Savings Plan Employee Stock Participation Plan Time Off Flexible paid time off covering vacation and sick leave Leave programs, including parental, pregnancy health, medical, and bereavement leave What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: Distributed About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations Toronto, Ontatio About the Role Account Executives, Channel Account Managers, Business Development Representatives, Solution Engineers, Customer Success, and Sales Operations - all working together help our customers adopt Cloudflare and create great Internet-enabled experiences. The sales team at Cloudflare helps customers solve real, technical problems while creating revenue streams that help the company provide free service to millions in our community. Responsibilities We are looking for a seasoned sales professional to cover large accounts in Canada, and are open to remote candidates in the Toronto and Montreal areas. The ideal candidate will possess both a sales and technical background that enables them to drive engagement at all levels with technical and non-technical buyers. As an Senior Named Account Executive, you'll be responsible for developing and executing against a comprehensive account/territory plan as well as driving sales in a defined territory and/or account list to achieve revenue targets. The person in this role will also assist in creating and articulating compelling value propositions for Cloudflare services. Manage contract negotiations Maintain a robust sales pipeline Develop long-term strategic relationships with key accounts Ensure customer satisfaction Desirable Skills, Knowledge, and Experience A minimum 6 years of direct B2B experience selling security or networking products/solutions (cyber security, IaaS, PaaS, etc). A minimum 3 years selling to large enterprise accounts in Canada, specifically in the Toronto, Montreal or Vancouver markets Experience managing longer, complex sales cycles Deep understanding of computer networking and “how the internet works” Aptitude for learning technical concepts/terms (technical background in network engineering or computer science is a plus) Strong interpersonal communication (verbal and written) and organizational skills Self-motivated; entrepreneurial spirit Comfortable working in a fast-paced dynamic environment What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: New York, New York Via is the global leader in transportation technology, powering modern, data-driven transit networks for hundreds of agency partners worldwide. Now, we are building our next frontier: AI Labs. This new, high-growth vertical combines Via’s global scale with cutting-edge artificial intelligence to build next-generation software for cities, automate complex systems, and unlock massive revenue opportunities. As a BDR , you will operate at the intersection of marketing and sales to support the growth of AI Labs. You will own the research and outreach strategies to generate meaningful engagement with top prospects and customers, facilitating the partnerships that bring equitable and affordable transit to communities worldwide and supercharging the public sector with AI solutions. This is an exciting role, tasked with building a book of business for a fast-growing new vertical. You’ll play a key role in shaping the team’s approach and helping cities develop new AI solutions. About the Role: Build pipeline for AI Labs, a new vertical dedicated to improving how cities function. Perform deep-dive research on accounts and individuals to create comprehensive buying committee maps and informed account plans. Lead multi-channel outreach campaigns across email, phone, and LinkedIn to articulate the value of Via’s AI solutions. Facilitate meetings, provide demos, qualify leads, and close deals as appropriate. Maintain and optimize sales tools within our CRM and marketing tech stack to ensure data accuracy and process scalability. Collaborate with commercial teams to align outreach efforts with broader sales goals and regional growth strategies. About You: Minimum of 1–4 years of experience in B2B marketing, account-based marketing, or a sales development (BDR/SDR) role. Analytical mindset with the ability to use campaign data to identify what’s working and where to pivot strategy. Proficiency in CRM and marketing automation tools to manage high volumes of outreach and research effectively. Clear, concise communicator capable of writing professional outreach and explaining complex AI solutions simply. Hungry to learn about AI, automation opportunities in the Public Sector, and the Via buying audience, with a proven ability to implement feedback quickly. Resilient and team player who enjoys building relationships over time and remains undeterred by setbacks. Compensation and Benefits: All final pay rates and levels will be determined by candidates experience, knowledge, skills, and abilities of the applicant, internal equity, and alignment with market data Salary Range: Associate $70,000-$80,000 + $5k bonus target // Associate Principal - $90,000 -$115,000 + $10k-15k bonus target Comprehensive health coverage, with low-cost dental and vision plans A 401(k) with company match and vesting Fully paid parental leave for new parents, with extended leave options Additional benefits (mental health, pet insurance, and other wellness perks) There has never been a more exciting time to be on the cutting edge of public mobility. Ready to join the ride? Via is an equal opportunity employer.

Location: New York City Workplace: Hybrid About Stepful: Stepful is a workforce platform redefining how America's largest health systems build, train, and retain their talent. Since our founding in 2021, Stepful’s trained over 32,000 practice-ready healthcare workers. Layering onto our successful direct-to-consumer training, Stepful partners with leading healthcare institutions to address the growing national shortage of healthcare workers. We’re improving access to quality healthcare for everyone, everywhere, and improving access to healthcare career ladders for those who need them most. Our students form the talent pipelines for major employers such as NY-Presbyterian, Mt. Sinai, HCA, Providence, CVS, and Walgreens. We have partnerships with half of the top 10 health systems in the US and are in process with many more. Stepful is backed by Y Combinator, Reach Capital, and AlleyCorp, with a recent $55M Series C led by Oak HC/FT https://www.stepful.com/post/stepful-announces-55m-series-c-to-scale-its-ai-powered-training-platform-across-the-healthcare-workforce. We were named the #1 EdTech company in the U.S. by TIME for 2025 https://www.stepful.com/post/stepful-named-1-edtech-company-in-us-top-10-globally-times-2025-list. Our values: We credit much of our success to our exceptional team. We’re looking for mission-driven builders who thrive in fast-paced, ambiguous environments, and embody our four core values: - Care first: We do whatever it takes for our students to succeed. - Learn quickly: We test, learn with data, and iterate. - Build together: We win when we rely on each other. - Own it: We show up, take initiative, and show pride. The role: As our Staff Product Designer, you’ll be responsible for building rich, intuitive best in class experiences for students, instructors, and coaches. Your projects will range from designing delightful product experiences for students, maturing our design system, improving the platforms our coaches and instructors use daily and new products for Stepful partners. What you’ll do: - Use your product thinking, visual design, and system steward skills to design rich, intuitive best in class experiences for students, instructors and coaches - Autonomously define opportunities and appropriate methodologies based on the shape of the problem, utilizing methods such as project prioritization and planning, conducting research, writing jobs to be done, mapping user flows, creating wireframes, prototyping, and designing high-quality workflows across our native and web apps - Identify opportunities for and leverage both quantitative and qualitative data to guide your design decisions and utilize a hypothesis driven experimental mindset - Collaborate closely with product, engineering, growth and operations to address challenges, manage trade-offs and get the team excited - Own and mature our design system to evolve our patterns, components, styles and patterns across all products This job is for you if you have: - 8+ years of work experience with a focus on product design across a variety of platforms from mobile to web - A deep understanding of the tech that powers digital products, and how to collaborate with engineering to make the most of emerging capabilities - An end-to-end versus waterfall approach to product, able to apply a wide variety of product design skills (e.g., design thinking, design strategy, user problem definition, information architecture, service design) - Experience driving user research to understand underlying pain points and needs and inform product strategy - Experience building relationships with teammates, influencing decisions at a variety of levels and across multiple teams - Experience or familiarity working with our tech stack: Figma, Claude, Storybook, Github, and Linear Bonus points if: - You have previous startup experience especially at B2B2C or B2C EdTech/Healthcare companies - Experience with A/B testing or other experiment/data driven product development organizations Interview Process: In your application, please include a link to your portfolio showcasing relevant work samples. A portfolio submission is mandatory for consideration of your candidacy. - Step 1: Screening call with Talent Acquisition - Step 2: Whiteboarding session with the Hiring Manager - Step 3: Portfolio Review with the Hiring Manager - Step 4: Onsite interview at office in SoHo, NYC Compensation: New Hire Base Salary Bands: Staff I - $150,000-190,000 Please note we do not have a bonus structure at this time so all cash compensation will come in the form of base salary. The total compensation package will also include our benefits package and an equity (ISOs) package. Compensation for this role will fall within the pay range listed and will be determined based on job-related factors including, but not limited to, skills, experience, qualifications as well as interview evaluation. Ranges are market-dependent and may be modified in the future. Stepful is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran status, gender identity or expression, sexual orientation, pregnancy, or other applicable legally protected characteristic. -- In light of recent hiring scams, if you're selected to move onto the next phase of our hiring process, a member of our Talent Acquisition team will reach out to you directly from an @stepful.com email address to guide you through our interview process.

Location: San Francisco; New York City Workplace: Hybrid ABOUT THE JOB We're looking for an experienced Global Mobility Lead to build and run the programs that help employees join, move, and work across borders. You will own our mobility policies, immigration casework, and vendor relationships, and partner with Legal, Finance, and People Ops to make cross-border moves clear, compliant, and well supported. WHAT YOU’LL OWN GLOBAL MOBILITY - Own the mobility policy suite end to end: relocation, permanent transfers, short-term and long-term international assignments, remote/cross-border work arrangements, and business travel thresholds. - Run individual mobility cases from scoping to landing: package design, cost estimates, immigration sequencing, tax and social-security implications, payroll setup, relocation logistics, and post-arrival support. - Manage employment-based immigration casework in partnership with outside counsel: H-1B (including cap-subject and change-of-employer/AC21 timing), L-1, TN, E-3, O-1, F-1 OPT/CPT, and employer-sponsored permanent residence. Own the internal timeline, the start-date reality check, and the manager/candidate communication. - Own daily immigration intake and case execution, including employer questionnaires, supporting documents, employment verification letters, signatures, counsel follow ups, and case closure. - Own right-to-work compliance across jurisdictions: I-9 and E-Verify in the US, Home Office share-code checks in the UK, and equivalent checks in our EU and other markets. - Decide and document the entity/employment model for each new market (direct entity, EOR, or non-resident payroll registration) with Finance and Legal. - Own our mobility vendor stack (immigration counsel, relocation, tax, EOR/global payroll): scope, SLAs, cost, and performance. - Model and track mobility cost, including sponsorship and premium-processing fees, so leadership can make go/no-go calls with real numbers, and obtain and document required approvals before committing sponsorship or spend DATA AND SYSTEMS - Build the tracking layer: mobility case pipeline, immigration deadlines and expirations, compensation comparisons, etc. - Stand up mobility dashboards: case volume, cycle time, cost per move, band penetration, offer-to-band variance, and equity-gap trend. - Write the employee-facing documentation so moves and pay decisions are predictable and explainable, not one-off negotiations. What we’re looking for REQUIRED - 6+ years of experience in global mobility, with real ownership of cross-border moves and immigration casework, not just vendor hand-offs. - Working fluency in US employment-based immigration and at least one other major jurisdiction’s work-authorization regime (UK, EU, or Canada). - Strong analytical skills: comfortable in spreadsheets and HRIS reporting, able to build a defensible model and explain the assumptions behind it. - Judgment about risk. You know when to escalate to Legal, when to flag classification or permanent-establishment exposure, and how to say no clearly. - Excellent written communication: you’ll draft policies, verification letters, offer rationales, and executive-facing recommendations. - Comfort with ambiguity, high volume, and shifting priorities.

Location: San Francisco; New York City Workplace: Hybrid ABOUT THE JOB We're looking for an experienced Global Mobility Lead to build and run the programs that help employees join, move, and work across borders. You will own our mobility policies, immigration casework, and vendor relationships, and partner with Legal, Finance, and People Ops to make cross-border moves clear, compliant, and well supported. WHAT YOU’LL OWN GLOBAL MOBILITY - Own the mobility policy suite end to end: relocation, permanent transfers, short-term and long-term international assignments, remote/cross-border work arrangements, and business travel thresholds. - Run individual mobility cases from scoping to landing: package design, cost estimates, immigration sequencing, tax and social-security implications, payroll setup, relocation logistics, and post-arrival support. - Manage employment-based immigration casework in partnership with outside counsel: H-1B (including cap-subject and change-of-employer/AC21 timing), L-1, TN, E-3, O-1, F-1 OPT/CPT, and employer-sponsored permanent residence. Own the internal timeline, the start-date reality check, and the manager/candidate communication. - Own daily immigration intake and case execution, including employer questionnaires, supporting documents, employment verification letters, signatures, counsel follow ups, and case closure. - Own right-to-work compliance across jurisdictions: I-9 and E-Verify in the US, Home Office share-code checks in the UK, and equivalent checks in our EU and other markets. - Decide and document the entity/employment model for each new market (direct entity, EOR, or non-resident payroll registration) with Finance and Legal. - Own our mobility vendor stack (immigration counsel, relocation, tax, EOR/global payroll): scope, SLAs, cost, and performance. - Model and track mobility cost, including sponsorship and premium-processing fees, so leadership can make go/no-go calls with real numbers, and obtain and document required approvals before committing sponsorship or spend DATA AND SYSTEMS - Build the tracking layer: mobility case pipeline, immigration deadlines and expirations, compensation comparisons, etc. - Stand up mobility dashboards: case volume, cycle time, cost per move, band penetration, offer-to-band variance, and equity-gap trend. - Write the employee-facing documentation so moves and pay decisions are predictable and explainable, not one-off negotiations. What we’re looking for REQUIRED - 6+ years of experience in global mobility, with real ownership of cross-border moves and immigration casework, not just vendor hand-offs. - Working fluency in US employment-based immigration and at least one other major jurisdiction’s work-authorization regime (UK, EU, or Canada). - Strong analytical skills: comfortable in spreadsheets and HRIS reporting, able to build a defensible model and explain the assumptions behind it. - Judgment about risk. You know when to escalate to Legal, when to flag classification or permanent-establishment exposure, and how to say no clearly. - Excellent written communication: you’ll draft policies, verification letters, offer rationales, and executive-facing recommendations. - Comfort with ambiguity, high volume, and shifting priorities.

Location: United States (Remote) Workplace: Remote About Teleport Don't wait for the future of infrastructure. Be part of it. Teleport is the AI Infrastructure Identity Company. We're solving one of the hardest problems in security: giving every human, machine, workload, and AI agent a cryptographically secured identity, improving engineering velocity while maintaining security. We make trusted computing simple. This gives you the freedom, power, and autonomy to build and innovate with confidence. Remote-first and globally distributed, we work with companies like Nasdaq, DoorDash, and Elastic to secure infrastructure for an AI world. About the Role: Our Teleport Account Development Mission: Build a consistent pipeline. Provide relevant value to future customers. Enable the next Teleport leaders.   What You'll Do: - Support multiple Enterprise sales territories - Schedule meetings with key stakeholders from three sources - Outbound prospecting to good-fit accounts showing intent signals - Qualifying Marketing Qualified Leads - Qualifying Inbound requests Collaborate with your Account Executive(s) on enterprise accounts and to refine call and messaging strategies - True multi-channel outreach (call/email/social) with a heavy emphasis on using the phone to drive quality conversations - Establish best practices and efficient processes for a modern Outbound sales motion - Work closely with Account Executive(s) to refine account strategiesIdentify trends from prospective customers to share with the product, marketing, and customer success teams - Track all sales activity in our CRM (Salesforce) and Outreach - Achieve or exceed monthly quotas for New Meetings Completed and quarterly quotas for Pipeline Opportunities   What We're Looking For: - Experienced: have 1 -2 years experience as an Enterprise Account Development Representative (ADR / SDR / BDR), preferably at a SaaS company with a technical product and a heavy emphasis on growing Outbound pipeline. - Strategic: able to strategize with Sales peer to schedule conversation with new Ideal Customer Profile Enterprise accounts - Quick Learner: able to grasp new technical concepts quickly in a diverse SaaS space - Collaborative Team Player: able to collaborate with your team and other teams daily - Passionate: loves the craft/process and providing the best experience for the prospect - Organized: able to manage pipeline of multiple prospects within multiple accounts in a consistent, repeatable way - Adaptable: understands that start ups can change quickly and able to adapt to changes quickly - Coachable: able to take constructive criticism and turn it into something great to further your career goals   What Success Looks Like: - Month 1: 4 week structured onboarding that helps you learn the market, the personas, the tools, the problems that Teleport helps solve; start reaching out to prospects before the end of the month - Month 2: On a half quota, figuring out the best way to use the tools at your disposal to ramp up your territory - Month 3: Now on a full quota, your process is up and running and you are on your way to building your personal prospecting pipeline machine   Tools We Have: - Salesforce - Outreach - LinkedIn SalesNavigator - 6sense - Qualified Chat - Qualified Signals - G2 - AltiSales - Common Room   How We Hire: Our process is designed to be straightforward and respectful of your time. We skip performative rounds and focus on what matters: understanding how you think and what you can do. Why Teleport You're joining a company where the problem is real, the team is small, and your work shows up directly in the product. We're not a big company, you won't get lost in a crowd. You'll have the freedom and autonomy to do what you're great at, alongside teammates who care about doing it right and want to see you succeed. The work is collaborative, there's real room to grow, and the mission is one worth showing up for. Remote-first and globally distributed, we're genuinely passionate about what we're building. The Benefits At Teleport, we believe your career is more important than a list of perks. That's why we focus on making your day-to-day the best it can be — giving you the autonomy, access, and support to do the best work of your career. - Extensive health coverage - Annual expense budget - Rest and recovery policies that maximize your ability to recharge - Investment in your future with retirement savings plans - Professional development opportunities Teleport is an equal opportunity employer and does not discriminate against any employee or applicant on the basis of age, color, disability, gender, national origin, race, religion, sexual orientation, veteran status, or any classifications protected by federal, state, or local law. Candidate Privacy Notice: For information about our collection and processing of job applicant personal data for this position, please see our Job Applicant Privacy Policy and Notice of Collection at goteleport.com/legal/apply/job-applicant/ http://goteleport.com/legal/apply/job-applicant/

Location: Remote - United States Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: Video is where multimodal models are weakest and hardest to grade. Temporal reasoning, long-form understanding, grounding events in time, and holding audio, video, and text together do not fall out of image benchmarks — and the evaluations for them are still immature. Closing that gap is gated as much by how we design data and evaluation as by architecture. Innodata builds that data and those evaluations for the customers and frontier labs advancing video and multimodal models, and we are hiring a Research Scientist to own the science behind it. You will partner directly with the customers and frontier labs building video understanding, video-language, and video-generation models, as interested in the data behind them as in the models themselves. Video spans two model families judged in completely different ways: models that understand video — answering questions, localizing events, grounding language in time — where the question is whether the answer is correct; and models that generate it, where fidelity, temporal coherence, and physical plausibility matter and no automatic metric is settled. You own the evaluation science for both, and knowing when model-based scoring can stand in for a human versus when it can't. Your conclusions shape what our partners measure and collect next. What You’ll Own: You will define how Innodata designs, structures, and evaluates video data for video and multimodal models, and you will validate those choices experimentally. Concretely, you will: Translate the requirements of video and multimodal models — video understanding, temporal and event localization, action recognition, long-form video, video-language models, video generation, cross-modal reasoning, and multimodal retrieval and grounding — into concrete data specifications: modalities, annotation schemas, sampling, and evaluation criteria. Build evaluation methodology for video understanding — temporal grounding accuracy, long-context and long-horizon reasoning, and dynamic multi-turn, cross-modal, and retrieval-and-grounding evaluation — clear about when model-based scoring is trustworthy and when a human is needed. Build evaluation methodology for video generation — fidelity, temporal coherence, and physical plausibility, including generative video used as a world model — the regime where automatic metrics are weakest and human judgment matters most. Decide how existing and incoming video should be structured, enriched, and sampled to extract the most model value from it, including from messy, domain-specific footage. Run experiments that prove data decisions matter: fine-tune and evaluate models on Innodata data, with ablations tying specific data choices to measurable improvement. Design adversarial and stumping evaluations that surface where video and multimodal systems fail, and turn those failures into better data. Publish. Turn what you learn into benchmarks, methodology, and papers that advance the field and earn the trust of the customers and frontier labs we partner with. Work with annotation teams, subject-matter experts, and the synthetic-data pipeline to turn specifications into operational collection and labeling plans. You’ll Thrive in This Role If You Have: Roughly 5+ years of hands-on industry experience in video understanding or multimodal ML. We weight practical experience over formal credentials; a PhD with a compelling, current research agenda can offset the lower end. A Bachelor's degree in computer science, electrical engineering, or a related technical or quantitative field is required; an advanced degree (MS or PhD) in a relevant field is preferred. Trained and evaluated video or multimodal models yourself, with strong PyTorch fundamentals. Fluency in the formats and tooling video work runs on: ffmpeg and decord pipelines, temporal and COCO-style annotation, WebDataset, Parquet and Arrow, and HuggingFace datasets. Experience fine-tuning large video or vision-language models with the modern toolchain (HuggingFace transformers, PEFT, efficient inference), and with long-form video, streaming, temporal segmentation, or synthetic video generation. A way of thinking in datasets and benchmarks: you have built evaluation sets, calibrated difficulty, and argued about what makes video data good for a given objective. A track record the field recognizes: first-author publications or strong open-source contributions at venues such as CVPR, ICCV, ECCV, NeurIPS, or ICLR. The ability to work directly with the research scientists at the customers and frontier labs we partner with, and to explain data and modeling decisions clearly to both expert and non-expert audiences, backed by a rigorous, reproducible approach to experiments and documentation. Bonus: interest or hands-on experience in responsible-AI evaluation and red-teaming — safety and robustness testing for video and multimodal systems. The expected salary range for this position is $160,000 - $185,000 p/year, based on experience, skills, and qualifications. Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams. If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov .

Location: Remote - United States Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: Where models actually differ now is robustness across accents, noise, and code-switching; speaker diarization; the naturalness of generated speech; and latency under streaming. Measuring those honestly, and building the data that trains for them, is gated as much by data and evaluation design as by architecture. Innodata builds that data and those evaluations for the customers and frontier labs advancing speech and audio models, and we are hiring a Research Scientist to own the science behind it. You will partner directly with the customers and frontier labs building ASR, text-to-speech, speech-to-speech and conversational voice, diarization, and audio-language models, as interested in the data behind them as in the models themselves. Your work is judgment: which conditions and languages a benchmark must cover to be honest, what a transcription convention should be for a given objective, and when an automated metric can be trusted versus when a human ear is required. You will also partner closely with our transcription and linguistics lead, whose standards directly shape what the models learn. What You’ll Own: You will define how Innodata designs, structures, and evaluates audio data for speech and audio models, and you will validate those choices experimentally. Concretely, you will: Translate the requirements of speech and audio models — ASR, text-to-speech and speech generation, speech-to-speech and conversational voice, speaker diarization and verification, audio-language models, and streaming systems — into concrete data specifications: modalities, transcription and annotation schemas, sampling, and evaluation criteria. Build evaluation methodology that goes past word error rate — semantic accuracy, robustness to noise and accent, code-switching, diarization error rate (DER), naturalness and intelligibility of generated speech, and streaming latency — and know when automated metrics hold and when they don't. Decide how existing and incoming audio should be structured, enriched, and sampled for coverage that fits the model objective — across languages, accents, and acoustic conditions (studio, real-world, telephonic), speaker demographics, emotional and paralinguistic range, scripted versus spontaneous speech, and single- versus multi-speaker settings, including low-resource and code-switched speech. Partner with the transcription and linguistics lead to turn model objectives into transcription specifications, and to quantify how transcription conventions and quality move ASR and speech-model results. Partner with the audio solutions and engineering team so the audio we collect is built for the model objective: you specify what good data and evaluation require, and they scope programs with customers and capture audio to spec. Run experiments that prove data decisions matter: fine-tune and evaluate models on Innodata data, with ablations tying specific data choices to measurable improvement. Design adversarial and stumping evaluations — noisy, accented, and adversarial audio — that surface where speech systems fail, and turn those failures into better data. Publish. Turn what you learn into benchmarks, methodology, and papers that advance the field and earn the trust of the customers and frontier labs we partner with. Work with annotation teams, subject-matter experts, and the synthetic- and augmented-audio pipeline to turn specifications into operational plans. You’ll Thrive in This Role If You Have: Roughly 5+ years of hands-on industry experience in speech or audio ML. We weight practical experience over formal credentials; a PhD with a compelling, current research agenda can offset the lower end. A Bachelor's degree in computer science, electrical engineering, or a related technical or quantitative field is required; an advanced degree (MS or PhD) in a relevant field is preferred. Trained and evaluated speech or audio models yourself — ASR, TTS, speech-to-speech, speaker, or audio-language models — with strong PyTorch fundamentals. Fluency in the toolchains and metrics speech work runs on: ESPnet, NeMo, SpeechBrain, or Kaldi, HuggingFace, forced alignment, and WER/CER and the metrics that go beyond them. Hands-on experience with multilingual, accented, dialectal, low-resource, or code-switched speech, and with synthetic or augmented audio (TTS pipelines, noise and room-response simulation). A way of thinking in datasets: you have built evaluation sets, reasoned about coverage across conditions, and argued about what makes speech data good for a given objective. A track record the field recognizes: first-author publications or strong open-source contributions at venues such as Interspeech, ICASSP, ASRU, SLT, or NeurIPS. The ability to work directly with the research scientists at the customers and frontier labs we partner with, and to explain data and modeling decisions clearly to both expert and non-expert audiences, backed by a rigorous, reproducible approach to experiments and documentation. Bonus: interest or hands-on experience in responsible-AI evaluation and red-teaming — for example spoofing and voice-cloning robustness, or bias across accents and languages. The expected salary range for this position is $160,000 - $185,000 p/year, based on experience, skills, and qualifications. Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams. If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov .

Location: Remote - United States Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: Progress in physical AI is gated as much by data design as by model architecture. The best manipulation and locomotion policies, vision-language-action models, and world models are only as good as the trajectories, demonstrations, and environments they learn from — so the highest-leverage decisions are made long before a model trains: what to capture, what to synthesize, how to represent an action, and how to know whether any of it will transfer to a real robot. Innodata is building the data and evaluation practice behind the next generation of robotics foundation models, in direct partnership with the customers and frontier labs defining that frontier. We are hiring a Research Scientist to own the science of that data. You will partner directly with the customers and frontier labs building robot foundation models, as interested in the data those models learn from as in the models themselves. Your leverage is scientific judgment about data: deciding what is worth capturing in the real world versus generating in simulation, how to weight a training mix across embodiments and sensors, and how to measure whether a policy will hold up outside the lab. Your conclusions will shape what our partners collect next. What You’ll Own: You will define how Innodata designs, structures, and evaluates data for robot foundation models, and you will validate those choices experimentally. Concretely, you will: Translate the requirements of robotics foundation models — vision-language-action models, world models, and manipulation and locomotion policies — into concrete data specifications: modalities, action representations (tokenization, chunking, diffusion and flow-matching action experts), sampling, annotation schemas, and evaluation criteria. Decide what is worth capturing in the real world versus generating in simulation, and curate and weight training mixes across heterogeneous robot datasets that span different embodiments, action spaces, and sensor setups. Guide collection across capture modalities — motion capture, egocentric, exocentric, teleoperation, and multi-sensor — and across synthetic pipelines, so that what we produce maps cleanly to model needs rather than accumulating for its own sake. Build evaluation and benchmarking methodology that predicts real-world transfer — coverage, discriminative power, reliability, and sim-to-real fidelity — including world-model evaluation (rollout quality and action-conditioned prediction) and the domain-randomization and system-identification choices that close the sim-to-real gap. Run the experiments that prove it: fine-tune and evaluate foundation models on Innodata data, with data-quality ablations and scaling studies that demonstrate specific data decisions produce measurable model improvement. Design adversarial and long-horizon evaluations that surface where policies and world models break, and turn those failure modes into better data. Publish. Turn what you learn into benchmarks, methodology, and papers that advance the field and earn the trust of the customers and frontier labs we partner with. Collaborate with the capture lab, annotation teams, and the synthetic-data pipeline to turn specifications into operational collection and labeling plans. You’ll Thrive in This Role If You Have: Roughly 4+ years of hands-on industry experience in robot learning or robotics ML. We weight practical experience over formal credentials; because the field is young, a PhD with a compelling, current research agenda can offset the lower end, and we will also consider very senior candidates with the right background. A Bachelor's degree in computer science, electrical engineering, robotics, or a related technical field is required; an advanced degree (MS or PhD) in a relevant field is preferred. Trained and evaluated robot policies yourself — manipulation or locomotion via imitation learning or reinforcement learning — with strong PyTorch fundamentals. You build and measure models, you don't just call them. A way of thinking in datasets: you have curated, filtered, and weighted robot data across embodiments and sensors, and you have real opinions about what makes it good for a given objective. Fluency in robotics data formats and standards — the LeRobot dataset format, RLDS, and Open X-Embodiment — along with common motion and sensor formats. Hands-on experience with simulation and synthetic data — NVIDIA Isaac Sim, Isaac Lab, and Omniverse, or MuJoCo and comparable engines — including domain randomization, system identification, and sim-to-real transfer. Experience with teleoperation or egocentric data collection, and comfort adapting VLM backbones for control and fine-tuning large VLA models with the modern toolchain (HuggingFace transformers, PEFT). A track record the field recognizes: first-author publications or strong open-source contributions at venues such as CoRL, ICRA, IROS, RSS, or NeurIPS. The ability to work directly with the research scientists at the customers and frontier labs we partner with, and to explain data and modeling decisions clearly to both expert and non-expert audiences, backed by a rigorous, reproducible approach to experiments and documentation. Bonus: interest or hands-on experience in responsible-AI evaluation and red-teaming for embodied systems, for example safety and robustness testing. The expected salary range for this position is $160,000 - $185,000 p/year, based on experience, skills, and qualifications. Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams. If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov .

Location: Remote - United States Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: As speech and audio models get better, the human role gets harder, not easier — it moves from producing transcripts to defining what a correct one is, adjudicating the cases models still get wrong, and designing the human-in-the-loop workflows that keep improving them. Innodata runs high-volume segmentation and transcription workflows for the customers and frontier labs building these models, and we are hiring a principal-level linguist to own the linguistic standards and quality behind that work — today, and as the workflows evolve alongside the models over the next two years. This is the applied-expert counterpart to our Speech & Audio Research Scientist. You set the standards the models are trained and measured against, and you understand the big picture: how different transcription and segmentation methods change what a model learns, and how that ripples into the speech and content-understanding systems our partners are building. You know the research and you know the tools — from IPA and acoustic analysis to forced alignment and the ASR engines our partners benchmark against — but your leverage is linguistic judgment and standard-setting at scale, not building models yourself. What You’ll Own: You will own the linguistic foundation of Innodata's segmentation and transcription work across languages, domains, and use cases. Concretely, you will: Define transcription and segmentation standards, style guides, and annotation conventions — verbatim and clean/intelligent verbatim, IPA and phonetic transcription, timestamping and boundary segmentation, speaker labeling and diarization labels, disfluencies and non-speech events, code-switching, and orthographic conventions. Establish and run the quality frameworks behind that work: rubrics, error taxonomies, adjudication processes, inter-annotator agreement, and human QA at scale. Own the quality lifecycle for transcription and segmentation deliverables end to end — pre-processing and normalization of incoming data, quality checks at the point of acceptance, post-processing and pre-delivery validation against spec, and report creation and packaging for delivery — partnering with delivery operations on execution at scale. Design the human-in-the-loop workflows themselves — deciding where human review, correction, and adjudication add the most value as ASR quality rises, so our experts spend their time on what the models still can't do rather than on what they already can. Handle the linguistically hard cases models fail on — accented and dialectal speech, low-resource and multilingual audio, overlapping speech, domain jargon (medical, legal, technical), and noisy acoustic conditions. Partner with the Speech & Audio Research Scientist to turn model objectives into transcription and segmentation specifications, and to work out how different transcription methods — verbatim versus clean, phonetic versus orthographic, and how audio is segmented and labeled — affect the training and evaluation of ASR, TTS, and speech and content-understanding models. Train, calibrate, and mentor expert transcribers and reviewers, and build the onboarding and calibration that keep quality consistent as the work scales. Represent Innodata's transcription and segmentation approach to the customers and frontier labs we partner with, and contribute to the methodology and best-practice documentation that make our work legible to their teams. You’ll Thrive in This Role If You Have: Substantial industry experience (typically 8+ years) in transcription, segmentation, and speech-data quality — enough that you have authored standards, not only followed them. This is a principal-level role, and we weight practical depth heavily. A Bachelor's degree in linguistics, phonetics, or computational linguistics, or a closely related field, is required — with a strong foundation in phonetics, phonology, and sociolinguistics so that IPA, prosody, disfluency, dialect, and register are native concepts. An advanced degree is preferred. A big-picture grasp of how transcription and segmentation choices flow downstream into modeling — how different methods change what speech and content-understanding models learn, and therefore which method fits which modeling objective. You can explain to a model builder why a transcription decision matters. Fluency in phonetic transcription and IPA, plus hands-on experience with acoustic and phonetic analysis of speech — spectrograms, formants, pitch and prosody, and segment boundaries — applied to real, messy speech data at scale (for example in Praat). Deep experience with audio segmentation and its conventions — utterance and turn boundaries, timestamping, and speaker and diarization labeling — across real-world audio. Hands-on fluency with the modern speech stack: Whisper and the commercial ASR engines your partners benchmark against (such as AssemblyAI, Deepgram, Rev, and Speechmatics), forced alignment (for example the Montreal Forced Aligner), and annotation tools such as ELAN. Comfort scripting for speech-data work — Python for batch processing, QA, and metrics such as inter-annotator agreement and WER, plus regular expressions and Praat scripting — enough to work fluently with data and pipelines without needing an engineer for every task. Practical data-management skills across the delivery lifecycle — pre-processing, acceptance-stage quality checks, post-processing, pre-delivery validation, and report creation and packaging — so deliverables leave the door correct, consistent, and well documented. Multilingual capability and hands-on experience with accented, dialectal, and code-switched speech; low-resource languages a strong plus. A point of view on how human-in-the-loop workflows should evolve as models improve — where humans stay in the loop, where they move up to adjudication and standard-setting, and how to measure the difference. Strong written and verbal communication, comfortable working directly with research scientists and interfacing with the customers and frontier labs we partner with. Bonus: responsible-AI considerations for speech, such as bias across accents and dialects and privacy and consent in voice data. The expected salary range for this position is $160,000 - $185,000 p/year, based on experience, skills, and qualifications. Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams. If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov .

Location: Los Angeles, USA Technical Product Managers combine deep technical knowledge and experience with product leadership capabilities which are needed to enable Riot Games to deliver key products and experiences to make it better to be a player. You will develop and execute strategies on Riot's products and technologies while leading diverse teams to deliver creative solutions to our most difficult technical and experiential challenges. As a Principal Technical Product Manager for VALORANT Foundations, reporting to the Director of Technical Product Management for VALORANT, you’ll identify and lead the highest-impact opportunities across the platforms that make the game predictable to build, release and operate worldwide. Foundations serves VALORANT’s engineers, artists and designers through build and release pipelines, developer tools and workflows, engine capabilities and core backend services. Working with engineering leads, game teams and central technology partners, you’ll bring independent product judgment to ambiguous problems, build support for a clear direction, and lead delivery across teams without direct authority. Your success will be measured in faster development workflows, more predictable releases, and platforms that let VALORANT grow sustainably. Responsibilities: Define and align product strategy for critical, cross-cutting platform areas, prioritizing outcomes that create measurable value for developers and players Bring strategic structure and clarity to Foundations' hardest, most ambiguous initiatives so they're set up for long-term success Lead cross-functional teams through influence, bridging engineering reality and product requirements, and driving decisions to closure across the groups that own build and release pipelines, the developer inner loop and editor, engine capabilities, and core backend services, all without direct authority Serve as a strategic proxy for Foundations leadership, stepping in with autonomy to own high-stakes opportunities end to end Partner deeply with engineering leads to ensure platform solutions are robust, scalable, and seamlessly integrated into developer workflows Broker across the seam with central tech team partners, representing VALORANT's needs into shared platforms and negotiating what's owned where Translate empathy for internal developers into infrastructure and tooling that solves genuine pain points; champion data-informed decisions Champion AI-augmented ways of working: bring agentic tooling into the PM craft to compress cycle time and model what modern product management looks like for Foundations Required Qualifications: 8+ years of relevant experience in Technical Product Management or a related engineering/technical field Familiarity with the game development lifecycle: engines, art/build toolchains, live-ops workflows Proven ability to operate at a Principal level, navigating organizational complexity to drive outcomes without direct authority Strong technical background (CS degree or equivalent experience) sufficient to credibly debate tradeoffs with engineering leads Experience translating open-ended or ambiguous technical capabilities into concrete product roadmaps with defined milestones and success metrics Track record owning platform, developer-tools, or systems products with internal customers Experience integrating agentic AI tooling into the product-management craft, using agents to shorten the loop from insight to execution Desired Qualifications: Experience with developer experience / platform-as-a-product domains, including internal platforms, SDKs, or CI/CD tooling Experience operating across the studio/central-tech boundary, or in a shared-infrastructure org serving multiple teams Hands-on familiarity with Unreal Engine and the Unreal Editor, VALORANT's engine and the primary environment its developers work in For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players. We will be looking at your past studies, experience, and your personal relationship with games. If you embody player empathy and care about players' experiences, this could be your role! Our Perks: Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our benefits pages for more information. At Riot Games, we put players first . That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application. It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act. Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories: Safeguarding confidential and sensitive Company data Communication with others, including Rioters and third parties such as vendors, and/or players, including minors Accessing Company assets, secure digital systems, and networks Ensuring a safe interactive environment for players and other Rioters These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Partner Marketing Manager for Global and Regional System Integrators at Anthropic, you'll own marketing for our highest-performing services partners. That includes Global Premier GSIs and the regional systems integrators (RSIs) closing the most partner-attached Claude deals. You'll report to the lead for Services Partner Marketing and work alongside each partner's Partner Account Manager. You'll build a joint marketing plan with each partner and run executive programs and joint announcements. You'll also turn partner deliveries into the customer proof our field needs. Partners are now attached to a large and fast-growing share of Anthropic's biggest enterprise deals. Your job is to make those partnerships deliver more every quarter. This role is hands-on. You'll think strategically about each partner relationship while running the campaigns, events and enablement yourself. Our scaled programs team supports the rest of the partner network. You'll focus on the partners where hands-on marketing moves the most business, and use those scaled programs where they fit. Key responsibilities Partner Marketing Strategy & Execution Own joint marketing plans for an assigned group of high-performing GSI and RSI partners, including quarterly planning, campaign calendars, and success metrics tied to target accounts and pipeline goals Develop joint campaigns and executive programs (CXO dinners, executive briefings, tentpole event activations) aimed at C-suite and senior decision-makers at enterprise customers Work with Partner Account Managers and the Alliances team to identify priority accounts and build account-based plays that leverage partner relationships Lead joint announcements from first draft through approvals, holding partner copy to Anthropic's messaging and brand standards Spot RSIs gaining traction and help them grow into higher tiers Content, Proof & Enablement Build joint value propositions, messaging, and enablement materials (pitch decks, solution briefs, case studies) that help partners position Claude with their enterprise clients Turn partner deliveries into proof: capture wins for sellers, and work with Customer Marketing to produce partner-led customer stories that meet each partner's tier requirements Get your partners carrying Anthropic's priority messages and launches, and build them into Anthropic's own campaigns with the Campaigns team Put the team's co-marketing guidelines, campaign kits and self-serve assets to work across your partners Program Management & Measurement Lead end-to-end execution with your partners, coordinating across product marketing, demand generation, field marketing, events and agencies Manage partner funding (MDF/co-op) for your partners and track ROI on joint investments Track and report partner-sourced and influenced pipeline, story output, and campaign ROI, with 30/60/90-day pipeline tracking on every activation Represent Anthropic at partner events, executive briefings, and industry conferences as needed Feed what works back into playbooks the scaled programs team can run across the wider partner network Minimum qualifications Have built and run partner marketing programs with Global System Integrators, major consulting firms, or regional systems integrators, and can shift between large firms and smaller, faster-moving ones Understand enterprise buyer journeys and can create marketing programs that resonate with C-level executives Are skilled at developing joint value propositions that articulate clear business outcomes for enterprise customers Build trusted relationships with partner marketing and sales teams, and can move a partner on priorities you don't control Can own a partner portfolio end to end within a team strategy, and know when to escalate Are highly organized and detail-oriented, and can run multiple partner plans at once without dropping quality Write clearly and precisely, with experience creating executive-level content and holding partner copy to a high bar Are data-driven and comfortable tracking marketing metrics, analyzing performance, and optimizing programs based on results Thrive in fast-paced, high-growth environments and are comfortable with ambiguity and changing priorities Have a "get it done" mentality and aren't afraid to jump in wherever needed to ensure program success Care about the societal impacts of AI and are excited about enabling enterprises to adopt AI responsibly Preferred qualifications Have 7+ years of marketing experience, with significant focus on partner marketing in B2B technology environments Experience in the AI/ML industry or working with AI-powered products Established relationships within the GSI, consulting or regional SI ecosystem Worked on the partner side, at a GSI or SI, in alliance or technology partner marketing Experience with tiered partner programs, including benefits and promotion reviews Experience producing partner-led customer stories with enterprise customers Understanding of enterprise AI use cases across different industries and functions Experience with CRM systems (such as Salesforce) and partner relationship management tools Used Claude or other AI tools to scale their own marketing work Role-specific policy: For this role, we expect all staff to be able to work from our San Francisco, Seattle, or New York office at least 3 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time for relocation. If based in Seattle or New York, this role will require traveling to the San Francisco office once a month. Additionally, this role may require up to 20% of the time for partner meetings and partner events. Deadline to apply: None. Applications will be reviewed on a rolling basis. 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: $255,000 — $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. 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.