Вакансии

О проекте: ИТ-компания, разрабатывающая разноплановые проекты с фокусом на AI/LLM-решения, интеграции и высоконагруженные сервисы. Ищем Senior/Lead руководителя разработки, который сочетает сильную техническую экспертизу в Python и AI-стеке с навыками управления командой. Это роль для лидера, который не только проектирует архитектуру и пишет код, но и развивает команду, выстраивает процессы и способен объяснить сложные технические концепции простым языком. Задачи: — Руководство группой backend-разработки (от 3 человек). — Предварительная оценка трудозатрат, декомпозиция задач, планирование ресурсов и спринтов. — Проведение качественного Code Review. — Обеспечение оптимального взаимодействия внутри команды и со смежными подразделениями (AI/ML, Data, Product). — Проектирование технической архитектуры решений и сервисов. — Проектирование и написание кода. — Участие в разработке технической документации и формировании архитектурных стандартов. Требования: — Опыт разработки не менее 5 лет. — Опыт руководства группой разработчиков от 3 человек. — Умение разбивать большую задачу на подзадачи и распределять их. — Python 3.11+: уверенное владение ООП, современными паттернами, асинхронным программированием (asyncio), строгой типизацией (typing). — Web-разработка: FastAPI и Pydantic (v2): создание асинхронных API, валидация/сериализация данных, генерация OpenAPI-документации. — Проектирование агентных сценариев на LangGraph. — Интеграция с OpenAI-совместимыми API (OpenAI, Azure, локальные LLM через vLLM/Ollama). — Практическое применение Structured Outputs (JSON/Pydantic-схемы, function calling, tool use). — Опыт построения RAG-пайплайнов (чанкинг, эмбеддинги, reranking, гибридный поиск). — PostgreSQL: проектирование схем, оптимизация запросов, работа с индексами, использование SQLAlchemy 2.0 / Tortoise / asyncpg. — Векторные хранилища: pgvector, Qdrant, Weaviate, Chroma (выбор эмбеддингов, настройка индексов HNSW/IVFFlat, фильтрация по метаданным). — Docker и Docker Compose, понимание принципов оркестрации (Kubernetes). — Работа с асинхронными очередями: Redis, Celery, ARQ, Kafka, RabbitMQ. — Настройка пайплайнов в GitLab CI/CD, линтинг (ruff, mypy), автоматизированные тесты. — Работа с данными: обработка JSON, TOML, DAT, CSV; извлечение информации из PDF, парсинг DXF-чертежей. — Тестирование: Unit- и интеграционные тесты (pytest, pytest-asyncio), мокирование внешних AI-API. — Уверенное владение Linux (уровень выше базового, без задач DevOps). — Навык объяснять сложные технические проблемы простым и понятным языком. — Опыт публичных выступлений: конференции, митапы и другие профильные мероприятия. — Работа в гибких и гибридных методологиях (Agile/Scrum). Условия: — Удалённая работа. — Загрузка: Full-time. — Срок привлечения: 3 месяца с возможностью пролонгации. — Часовой пояс: UTC+3 (МСК). — Грейд: Senior / Lead. — Ставка: до 320 000 руб. на руки в месяц.

Основные требования: — 5+ лет опыта в Cloud Engineering, ML Infrastructure или смежной области. — Сильный практический опыт работы с AWS, Azure, GCP или private/hybrid cloud. — Опыт production-развертывания AI/ML workloads at scale. — Практический опыт работы с Kubernetes. — Опыт построения и поддержки MLOps pipelines. — Практический опыт с LLM inference, GPU infrastructure или model serving. — Опыт работы с высоконагруженными production-системами. — Хорошее понимание cloud architecture, networking и infrastructure automation. — Понимание принципов security, data protection и access control. — Способность проектировать инфраструктуру с учетом масштабируемости, надежности, производительности и безопасности. — Хорошие коммуникационные навыки и способность эффективно работать с кросс-функциональными техническими командами. Чем предстоит заниматься: — Проектировать и развивать cloud-инфраструктуру для AI/ML-продуктов. — Развертывать и масштабировать AI/ML workloads в production, включая LLM inference и model serving. — Проектировать и поддерживать Kubernetes-инфраструктуру и MLOps pipelines. — Работать с GPU-инфраструктурой и высоконагруженными production-системами. — Обеспечивать масштабируемость, отказоустойчивость, производительность и безопасность AI-систем. — Взаимодействовать с ML Engineers, Software Engineers, DevOps и другими техническими командами. Что мы предлагаем: — Официальное трудоустройство и конкурентоспособная заработная плата; — Профессиональный рост и развитие в дружном коллективе — Удаленный формат работы

Role We are looking for a Sales Account Executive-Enterprise to join our Sales team. This is a remote based in Taiwan role, reporting to the Regional Sales Director in the Sales department. You will be responsible for understanding and solving customer pain points through a unique value proposition, focusing on high-impact growth within your territory. By educating key decision-makers on inspiring technology, you will drive the mission forward and ensure customer success. What you’ll do (Role Expectations) — Understanding and solving customers' pain points through Zscaler's unique value proposition — Embracing selling an inspiring technology to educate key decision-makers in organisations in your territory — Creating a plan for success including coverage, target prospects, customer footprint, partner coverage, marketing campaigns — Learning and implementing world-class sales methodologies to overachieve on quarterly/annual revenue goals — Working with Sales Engineers to achieve both business and technical value Who You Are (Success Profile) — Thrive in ambiguity and dynamic environments — Comfortable building the path as you walk it — Act like an owner with passion for the mission and integrity — Problem-solver focused on finding solutions and delivering impact — High-trust collaborator, ambitious for the team — Embrace challenge culture with ongoing feedback — Learner with a growth mindset, obsessed with development — Passionate and purposeful in your work What We’re Looking for (Minimum Qualifications) — Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain — Professional experience in Sales managing a revenue quota — Bachelor's degree in Business or a related field — Progressive selling experience engaging with accounts and selling at the C-Level What Will Make You Stand Out (Preferred Qualifications) — Experience leveraging AI-powered sales intelligence software or positioning predictive AI cloud security frameworks to expand enterprise market share — Experience selling Security, SaaS, or Software — Experience working with Channel partners to create joint plans, develop pipeline, and lead opportunities to closure Our Benefits program includes various health plans, time off plans for vacation and sick time, parental leave options, retirement options, education reimbursement, in-office perks, and more. By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines. Zscaler is committed to equal employment opportunities and providing reasonable support in recruiting processes for candidates with diverse needs.

Location: San Francisco, California Workplace: Hybrid ABOUT SENTRY Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. ABOUT THE ROLE Sentry’s AI capabilities span infrastructure, product features, design, and data ingestion. We’re hiring a Senior Technical Program Manager to connect this work across teams, helping them make decisions, manage dependencies, and deliver a cohesive product experience. Our AI/ML team is building a modular platform for model routing, agent execution, and evaluations. Issues Platform owns customer-facing experiences such as issue details, activity feeds, and notifications. Product Design shapes how these experiences work together, while Ingest provides the underlying data pipeline. You’ll lead the program across these teams: clarifying ownership, sequencing work, managing integration risks, and coordinating release readiness. You’ll partner with team leads to connect their plans and resolve gaps between roadmaps. You’ll also improve how engineering changes reach teams across Engineering, Product, and Design, along with Documentation and Support. Your goal is a lightweight process giving partners the information and preparation time they need before changes reach customers. You’ll join an early TPM team and help shape how the function works at Sentry. Success means helping teams deliver together through technical judgment, clear communication, and practical coordination. This role is based in San Francisco, with three days per week in the office. WHAT YOU’LL DO AI DELIVERY - Connect roadmaps across AI/ML, Issues Platform, Product Design, and Ingest into a shared delivery plan. - Sequence platform capabilities, product features, and design work so teams address dependencies before they delay a release. - Help teams assign accountable owners, resolve open decisions, and communicate commitments. - Partner with engineering and product owners to define release readiness, including evaluation results, staged rollouts, eligibility, and access requirements. - Bring ingestion and reliability dependencies into roadmap discussions so teams understand the risks behind delivery commitments. - Drive risk mitigation with clear owners, contingency plans, and timely escalation. - Give teams and leadership an accurate view of progress, dependencies, decisions, and risks. CHANGE READINESS - Build a lightweight process for identifying changes affecting other teams, notifying partners, and confirming readiness before release. - Include documentation and support preparation in delivery planning, starting with AI features. - Establish concise updates showing what is changing, when, and who needs to act. - Review communication and readiness gaps with the teams involved, then improve the process. - Keep the effort proportional to the change and remove steps which don’t improve delivery. HOW YOU WORK - You help teams bring structure to complex programs with unclear ownership or no established process. - You listen to different perspectives, make tradeoffs visible, and help teams resolve competing priorities. - You engage with technical details and connect architectural decisions to delivery risks and product outcomes. - You raise risks early, propose practical responses, and follow through. - You adapt processes to teams’ needs and simplify them when the value is unclear. - You respect team ownership while helping cross-team decisions reach resolution. - You share information clearly so partners have the context they need to contribute. QUALIFICATIONS - Experience leading complex technical programs from problem definition through launch. - Experience coordinating delivery across multiple engineering teams with separate roadmaps and leadership. - Technical understanding to review design proposals, discuss architectural tradeoffs with engineers, and identify integration risks and downstream effects. - A track record of managing dependencies, driving risk mitigation, and adapting plans as conditions change. - Experience creating or improving processes which teams adopted and sustained. - Clear written communication, including program updates, decision records, and escalations with explicit next steps. - Experience building alignment across engineering, product, and design through sound judgment and follow-through. Relevant experience might come from technical program management, software engineering, or another role involving ownership of cross-team technical delivery. PREFERRED EXPERIENCE - Shipping AI/ML or LLM-backed features, including evaluations, quality checks, and staged rollouts. - Partnering with product design to coordinate design and engineering work. - Working with data pipelines, ingestion, or streaming infrastructure. - Building developer tools or technical B2B products. - Improving release communication across engineering, documentation, and support. Experience in every preferred area is not required. TEAM PRINCIPLES - Make work visible. Keep plans, ownership, decisions, and next steps clear and current. - Raise risks early. Give teams time to respond before delivery is affected. - Reduce friction. Build practices which help teams get work done. - Respect ownership. Support informed decisions and help accountable owners resolve open questions. - Keep partners informed. Communicate changes to scope, timing, and readiness before they affect others. The base salary range Sentry reasonably expects to pay for this position is $150,000 to $240,000 USD. A successful candidate’s actual base salary (or hourly wage) amount will be determined by a variety of relevant factors including, without limitation, the candidate’s work location, education, work and other relevant experience, skills, and job-related knowledge. A successful candidate will be eligible to participate in Sentry’s employee benefit plans/programs applicable to the candidate’s position (including incentive compensation, equity grants, paid time off, and group health insurance coverage). See Sentry Benefits https://sentry.io/careers/ for more details about the Company’s benefit plans/programs. EQUAL OPPORTUNITY AT SENTRY Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible. If you need assistance or an accommodation due to a disability, you may contact us at accommodations@sentry.io. Want to learn more about how Sentry handles applicant data? Get the details in our Applicant Privacy Policy https://sentry.io/careers/applicantprivacy/.

Location: London Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! WHY THE COHERE TPM ROLE? As our Generative Machine Learning organization has continued growing, we are looking for more Technical Program Managers to join the team! At Cohere, TPMs are pivotal to our success, being seen as operational experts specializing in cross-functional efforts. Great TPMs at Cohere are well-rounded, executing with precision at the tactical level, while partnering with senior leaders and shaping the big picture at a strategic level, and the opportunities are endless in growing the scale and impact of their work. Cohere’s TPMs would often be described as organized, execution-oriented, pragmatic leaders who are adaptable to the needs of the company and the programs they lead. As a reward for the depth and breadth of expertize that you bring to the table, you will get to work alongside some of the most talented AI researchers and industry experts in the world on building cutting edge AI technology. No day will be the same as the one before, and the dynamic high growth environment will be absolutely perfect for anyone excited about solving novel problems, bringing structure to oftentimes chaotic and fast-paced environments, and ambitious about scaling their own impact and growth alongside the company! Please note: While we are remote-first and accept candidates from all over the world, we are highly prioritizing hiring for people who are within 1-2 hours of British Standard Time (BST). AS A MACHINE LEARNING TECHNICAL PROGRAM MANAGER, YOU WILL: - Establish, improve, and scale foundational processes that allow the Generative Modeling teams to execute better, faster, and more predictably - Scale the operational capacity and effectiveness of the Modeling TPM team in collaboration with the Modeling TPM lead to ensure the function can remain lean and effective during a period of the program portfolio complexity and size continuing to rapidly increase - Flexibly adapt to the needs of the company, programs, and the team from tackling long-horizon programs that can span quarters or even years to jumping onto often highly ambiguous short-term challenges that can have company-wide impact - Partner directly with leaders within and outside of the Modeling organization on efforts to design, train and improve our core generative models - Lead cross-functional, oftentimes company-wide programs and strategic initiatives, collaborating and coordinating with cross-functional teams such as Product, Engineering, Legal, Platform, Infra, Policy, and Finance - Operate as an organizational expert in improving engineering execution rigor and operations on the ground, while contributing to the strategic layer in areas such as long-term strategic planning with senior modeling leadership - Map out dependencies and risks, and ensure that cross-functional execution across the program runs smoothly, communicating status with non-technical and technical stakeholders and senior management - Both own and enable a useful communication flow of priorities, ideas, and knowledge throughout and beyond the Modeling organization in line with your programs - Respond quickly to program-level changes, clarifying new scope, and managing resource needs in response to evolving priorities YOU MAY BE A GOOD FIT IF YOU HAVE: - 5-10 years as a Technical Program Manager AND 5+ years of experience working directly on AI/ML. Strong preference for candidates that have worked directly in building foundation models. - In-depth knowledge of machine learning, particularly when it comes to Natural Language Processing & Large Language Models (LLMs). Bonus points for experience with Multimodal AI. - Experience with working in a chaotic, fast paced, low structure environment. We need someone who is pragmatic, can roll up their sleeves when needed, and can function at the tactical and strategic level to do whatever it takes to make Cohere’s models succeed - Personal hands-on understanding of the unique challenges of managing projects and programs in the AI/ML development space as opposed to traditional software program management - Managed projects & programs requiring a strong general business acumen, such as coordinating with Finance on reporting needs or Policy on regulatory compliance matters — the broader your experience beyond ML technical program management, the better! - (optional, but preferred) Have technical experience in a hands-on capacity. We don’t necessarily need someone with hands on experience training models, but you need to feel comfortable sitting in the same rooms with some of the best researchers in the world, working on highly complex, cutting edge ML problems If some of the above - other than the ML TPM experience - doesn’t line up perfectly with your experience, we still encourage you to apply! If you consider yourself a thoughtful worker, a lifelong learner, and a kind and playful team member, Cohere is the place for you. We welcome applicants of all kinds and are committed to providing both an equal opportunity process and work environment. We value and celebrate diversity and strive to create an inclusive work environment for all. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: United States Workplace: Remote 1Password is growing. We’ve surpassed $500M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing. About 1Password At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work. If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future. Apono is now part of 1Password https://1password.com/. Together, we’re shaping the future of identity security for humans, machines, and AI agents. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work. We deliver just-in-time, just-enough access governance, unleashing productivity without compromising security. If you’re excited to work alongside a team of curious, driven individuals and solve hard problems at scale, come join us and help build a safer, simpler digital future for everyone. Artificial intelligence (AI) agents are becoming part of enterprise infrastructure—requesting access, handling credentials, interacting with production systems, and acting on behalf of people. As Senior Product Marketing Manager, Agentic Identity Security, you’ll shape how organizations understand and address this emerging security challenge. You’ll build the narrative, positioning, and market-entry strategy for Apono as part of 1Password, bringing fresh perspective to an evolving product and category while turning strategy into action. How we’re using AI today On the Marketing team, we’re growing our AI capability together and redesigning how work gets done. We’ve built agents to improve workflows focused on competitive intelligence, content creation, and campaign planning, helping us stay sharp, reduce context-switching, and surface the right information at the right time. AI helps us coordinate, execute, and uncover insights faster so we can spend more time on what’s most important: performance, judgement, and driving the future of 1Password. This is a remote opportunity within the US. What we're looking for: - Bring experience in cybersecurity, deep technology, or business-to-business (B2B) software, with an understanding of technical buyers and complex markets. - Bring a clear strength in product marketing, such as product launches, market-entry strategy, positioning, messaging, or narrative development. - Think strategically while staying close to execution, turning ambiguous opportunities into clear priorities, plans, and outcomes. - Work proactively and take ownership by identifying what needs to be done, building alignment, and moving the work forward. - Communicate with clarity and confidence with executive, product, engineering, sales, and marketing audiences. - Use AI tools and agents thoughtfully to improve research, planning, messaging, and workflow scale while maintaining sound judgment and a human point of view. - Preferred: Have experience shaping an emerging category or working in a high-growth or changing organization. What you can expect: - Define the narrative and market-entry strategy for Apono’s next chapter as part of 1Password. - Evaluate existing positioning and messaging, preserve what remains valuable, and evolve what no longer reflects the product or market. - Build deep understanding of customers, personas, use cases, market dynamics, and the challenges organizations face as AI agents interact with enterprise infrastructure. - Own messaging, product marketing strategy, launch planning, sales enablement, and the content direction that supports them. - Partner closely with senior product, engineering, marketing, sales, and go-to-market leaders to connect strategy across the business. - Bring ideas from strategy through execution, using customer and market feedback to refine the story and priorities. - Help shape the capabilities and resources the product marketing function needs as the business grows. The annual base salary for this role is between $152,000 USD and $220,000 USD, plus immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set. This posting is for an existing vacancy. Our culture At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first. You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone https://blog.1password.com/inside-the-culture-powering-1passwords-next-chapter/. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results. How we work with AI We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password.   This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. To us, this means we do ask that you join live interviews without using AI tools so we can get to know how you communicate, solve problems, and collaborate with others. Our approach to remote work We believe in the power of remote work, but recognize that in-person connection is important to help us achieve our mission. While we are a remote-first company, travel for in-person engagement is a part of almost all roles, and we require our employees to be ready and willing to take part. Frequency will depend on role and responsibilities, and may include, but is not limited to: annual department-wide offsites, team meetings, and customer/industry events. What we offer We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer: Health and wellbeing 👶 Maternity and parental leave top-up programs 🩺 Competitive health benefits 🏝 Generous PTO policy Growth and future 📈 RSU program for most employees 💸 Retirement matching program 🔑 Free 1Password account Community 🤝 Paid volunteer days 🏆 Peer-to-peer recognition through Bonusly 🌎 Remote-first work environment *Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting. You belong here. 1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs. Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you. Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form https://jobs.ashbyhq.com/1password/automation-notice. For additional information see our Candidate Privacy Notice https://1password.com/files/candidate-privacy-notice.pdf.

Location: San Francisco, CA, USA About the Role Chime’s Data Science and Machine Learning team is building models, services, and platforms that transform how millions of users manage and grow their financial lives. We are looking for a hands-on Tech Lead Manager with deep technical expertise in machine learning and data science, particularly within the Growth and Marketing domain. Beyond technical proficiency, we value creativity, user empathy, and strong collaboration. As a Tech Lead Manager within our Growth and Marketing team, you will lead a talented group of data scientists and machine learning engineers to develop innovative growth and marketing models. These models will provide critical insights into acquiring, retaining and growing Chime members, broaden access to credit, and ensure financial inclusivity. You will play a pivotal role in creating innovative, ground-up products while driving the development of cutting-edge acquisition and retention models and solutions. If you are passionate about marketing, growth, customer acquisition and retention models, this role could be a great fit for you. In this role, you can expect to Lead and inspire a high-performing team of data scientists and ML engineers, ensuring the successful development and deployment of machine learning solutions for customer acquisition, conversion and retention. Drive strategic direction for ML initiatives in marketing, engagement, and growth by identifying opportunities where AI/ML can optimize our customer funnel. Oversee the end-to-end development of machine learning models such as lifetime value prediction, churn risk modeling, customer segmentation, marketing attribution, referral recommendations, and personalized communications. Collaborate cross-functionally with marketing, product, growth, and engineering teams to align machine learning initiatives with business objectives. Leverage transactional and behavioral data to enhance customer targeting, optimize acquisition spend, and improve retention strategies. Establish ML best practices, including model development, validation, deployment, and monitoring, ensuring scalability and business impact. Advocate for a data-driven culture, partnering with business leaders to drive strategic decisions through experimentation and predictive analytics. Stay ahead of industry trends, bringing cutting-edge AI/ML techniques into our marketing and growth strategies. To thrive in this role, you have 7+ years of experience developing machine learning models for marketing and growth, from inception to production, with a focus on customer acquisition, engagement, and retention. 5+ years of experience leading data science teams, with a proven track record of mentoring, coaching, and driving impactful machine learning solutions. Strong expertise in marketing and growth analytics, including experience with customer segmentation, LTV modeling, churn prediction, referral systems, and multi-touch attribution. Deep understanding of AI/ML techniques, including classification, clustering, reinforcement learning, optimization, deep learning, and NLP for customer engagement. Hands-on experience deploying machine learning models in real-world production environments, integrating with marketing tech stacks and growth platforms. Strong product intuition with the ability to work iteratively in a fast-paced, cross-functional environment. M.S. or Ph.D. in Machine Learning, Computer Science, Statistics, or a related STEM field. Proficiency in Python and SQL, with experience in building ML pipelines and wrangling large-scale data. Experience with modern ML and data engineering technologies, such as AWS, Kafka, Airflow, Redis, MySQL, Postgres, Spark, Snowflake, Looker. Exceptional communication and stakeholder management skills, with the ability to partner effectively with marketing, growth, product, and engineering teams. #LI-DA1 #LI-Onsite Below is the base salary offered for this role and level of experience. Full-time employees may also be eligible for bonus(es), competitive equity, and benefits. For commissioned roles, the base salary listed in this job description does not include incentive/variable pay. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience. Wage Notice $199,000 — $275,000 USD A little about us At Chime, we believe that everyone can achieve financial progress. We created Chime—a financial technology company, not a bank*—on the premise that core banking services should be helpful, easy, and free. Through our user-friendly tools and intuitive platforms, we empower our members to take control of their finances and work towards their goals. Whether it's starting a savings account, purchasing a first car or home, launching a business, or pursuing higher education, we're proud to have helped millions unlock their financial potential. We're a team of problem solvers, dreamers, and builders with one shared obsession: our members. From day one, Chimers have worked tirelessly to out-hustle and out-execute competitors to bring our mission to life. Their grit and determination inspire us to work harder every day to deliver the very best experience possible. We each bring an owner's mindset to our work, refusing to be outdone and holding ourselves accountable to meet and exceed the highest bars for our teams, our company, and our members. We believe in being bold, dreaming big, and taking risks, while also working together, embracing our diverse perspectives, and giving each other honest feedback. Our culture remains deeply entrepreneurial, encouraging every Chimer to see themselves as stewards of our mission to help everyday Americans unlock their financial progress. We know that to achieve our mission, we must earn and keep people's trust—so we hold ourselves to the highest standards of integrity in everything we do. These aren't just words on a wall—our values are embedded in every aspect of our business, serving as a north star that guides us as we work to help millions achieve their financial potential. Because if we don't—who will? *Chime is a financial technology company, not a bank. Banking services provided by The Bancorp Bank, N.A. or Stride Bank, N.A., Members FDIC. What we offer for our full-time, regular employees 🏢 Our in-office work policy is designed to keep you connected - with four days a week in the office and Fridays from home for those near one of our offices, plus team and company-wide events depending on location. 💻 Benefits that support your work and life, including backup child, elder, and pet care and subsidized commuter benefits for eligible employees. ✨ Comprehensive health, financial, and wellbeing benefits designed to support you at every stage of life. 🏝 Generous vacation policy and company-wide paid days off 🫂 1% of your time off to support local community organizations of your choice 👟 Annual wellness stipend to use towards eligible wellness related expenses 👶 Up to 22 weeks of paid parental leave for birthing parents and 12 weeks of paid parental leave for non-birthing parents 👪 Access to family planning reimbursement 💚 A challenging and fulfilling opportunity to join one of the most experienced teams in FinTech and help millions unlock financial progress We know that great work can’t be done without a diverse team and inclusive environment. That’s why we specifically look for individuals of varying strengths, skills, backgrounds, and ideas to join our team. We believe this gives us a competitive advantage to better serve our members and helps us all grow as Chimers and individuals. Chime is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the San Francisco Fair Chance Ordinance, Cook County Ordinance, NYC Fair Chance Act, and the LA City Fair Chance Ordinance, and consistent with Canadian provincial and federal laws. If you have a disability or special need that requires accommodation during any stage of the application process, please contact: accommodations@chime.com . To learn more about how Chime collects and uses your personal information during the application process, please see the Chime Applicant Privacy Notice .

Location: New York, New York; Manhattan, New York; Brooklyn, New York; Trenton, New Jersey; Yonkers, New york; New York City Metropolitan Area; Newark, New Jersey Workplace: remote Provectus is an AI consultancy founded in 2010 and led by its founders. As an AWS Premier Partner and an Anthropic Preferred Partner, we help Financial Services & Insurance and Healthcare & Life Sciences companies design, build, and operate production AI systems. With offices across North America, LATAM, and EMEA, we work with clients worldwide. We are hiring an Account Executive to turn incoming enterprise leads into signed consulting engagements. Clients buy multi-month consulting engagements. You won't build pipeline from scratch. Anthropic and AWS share qualified enterprise leads with us. Your job has four parts: Qualify those leads quickly. Run discovery with buyers at banks, insurers and life sciences companies. Scope the work with our architects. Close. What you'll do: Pick up new leads as they arrive, decide which to pursue, and be able to explain why. Run discovery calls with business and technology leaders. Map their process, data, regulatory constraints, budget and decision path. Work with delivery leads and architects to scope proposals and SOWs that we can deliver. You are selling consulting engagements, not software licenses. Negotiate and close to a signed SOW, with the Chief Commercial Officer joining larger deals. Run the full sales cycle: discovery, solution scoping, proposal, negotiation, close. Translate Anthropic's product roadmap and partnership incentives into the client propositions. Keep Anthropic and AWS partner reps informed on the leads they share, and take part in joint pipeline reviews. Keep the CRM current and forecast your deals accurately. Bring buyer objections and patterns from each industry back to leadership and marketing. Travel for client meetings, up to 30% of your time. What You Need to Succeed: 2–4 years in a client-facing commercial role in a consulting or IT services firm where you closed deals yourself, such as account executive, account manager, or consultant who owned client sales. Be ready to share the specifics: what you closed, at what size, and how long each deal took. OR experience with banks, insurers, or pharma/biotech companies in one of these roles: selling services or technology to them (including smaller deals you closed yourself or larger deals where you supported the lead); working on client projects at a consulting firm, including proposals or scoping; or working inside one of these companies on projects where you helped evaluate and select outside vendors. Working knowledge of Financial Services (banking, insurance, capital markets) or Life Sciences (pharma, biotech). You have worked in the industry or sold into it, and you can discuss a buyer's process and regulatory constraints in their terms. Experience selling services engagements or complex B2B deals with several stakeholders. Clear written and spoken communication with director-, VP- and C-level buyers. Comfort handling a steady volume of leads and choosing where to spend your time. Strong plus Experience selling AI/ML, data or cloud services. Experience working partner-referred leads from Anthropic, AWS, GCP or Azure. About Provectus: Provectus is an Artificial Intelligence consultancy and solutions provider, helping businesses achieve their objectives through AI and data-driven innovation organization-wide in such industries as Financial Services, Insurance, Healthcare & Life Sciences, Retail & CPG, Media & Entertainment, and Manufacturing. We are recognized by industry analysts as a leading provider of AI solutions across key business domains. At Provectus, we value innovation, ownership, and collaboration — and we are looking for people who want to grow with us and make an impact. Why Join Us: Leads arrive every day, so your time goes into closing rather than prospecting. You learn enterprise AI consulting sales in two regulated industries. You close with support: our architects scope the work with you, and the Chief Commercial Officer joins larger negotiations. The delivery team can execute what you sell: 350+ people, 150+ certified architects, and 100+ customers in production. Work at the intersection of two AI partnerships: Anthropic and AWS. High-impact role with direct visibility to leadership. Compensation and benefits Base $90–120K + commission, OTE range $140–170K. The salary range is determined through interviews and a review of the education, experience, knowledge, skills, and abilities of the applicant, and alignment with market data. B2B contract model or full-time model. Unlimited vacation policy. Generous health, vision, and dental insurance, and life insurance. 401(k) matching plan.

Location: Oklahoma, United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. DC Facilities Engineer Independently operates, maintains, troubleshoots, and takes end-to-end ownership of critical power, critical cooling, liquid cooling, and DCIM/BMS infrastructure systems; participates in incident management and commissioning activities; and mentors Associate DC Facilities Engineers. Role Overview The DC Facilities Engineer is a critical role within Nebius data center operations. A fully proficient DC Facilities Engineer who independently manages and troubleshoots critical power and critical cooling systems across the site and takes ownership of assigned engineering tasks from start to finish. Participates in incident management activities, supports site commissioning and build reviews, and contributes to ensuring all engineering work meets Nebius SLAs and standards. Enforces safe working practices, collaborates with facilities, network, and technician teams, and mentors Associate DC Facilities Engineers toward independent operation. Core Responsibilities Monitor and contribute to the tracking of critical environment maintenance and repair for assigned service lines to Nebius SLAs; identify and escalate developing faults before they impact service uptime. Independently operate, monitor, and troubleshoot critical power distribution infrastructure including UPS systems, PDUs, RPPs, and in-rack busbar power systems. Manage and maintain critical cooling infrastructure including CRAHs, CRACs, CDUs, and RDHx; perform capacity checks and leakage inspections. Participate in incident management for infrastructure-impacting events; support root-cause analyses, document findings, and contribute to CAPA execution under the direction of the Senior DC Facilities Engineer. Operate and administer DCIM and BMS platforms; build and maintain dashboards, alerts, capacity reports, and infrastructure records. Support deployment and commissioning of GB-scale liquid-cooled rack infrastructure including direct liquid cooling (DLC) systems, manifolds, and CDU connections. Perform and own preventive maintenance tasks for all critical power and critical cooling systems; maintain accurate maintenance logs and compliance records. Participate in site reviews, design reviews, and commissioning activities; prepare and review technical reports to document findings and communicate results. Enforce Nebius critical power and critical cooling safety procedures; act as safety lead for engineering work orders on live infrastructure. Collaborate with facilities, network, and technician teams on infrastructure changes, capacity expansions, and major deployments. Support adherence to Nebius standards and policies through documentation review and active participation in commissioning and design activities. Contribute to vendor and contractor coordination by supporting scheduling, site access, and execution of work per Nebius expectations and safe-working practices. Actively mentors and trains Associate DC Facilities Engineers; guides them through systems operation, safe working practices, and structured skill development toward independent operation. Expected Capabilities / Expectations Working proficiency across all critical power systems: UPS, PDU, RPP, in-rack busbar, and generator interfacing. Hands-on experience with critical cooling systems: CRAH/CRAC, CDU, RDHx, and water-side infrastructure including leak detection. Competent DCIM/BMS administration: alert management, capacity modeling, and dashboard reporting. Developing knowledge of GB rack liquid cooling technology, DLC manifolds, and heat rejection infrastructure. U.S. Data Center Career Framework - Technical Career Framework  Ability to participate in and support incident management activities including RCA and CAPA documentation. Strong documentation discipline: change records, maintenance logs, capacity data, and incident write-ups. Clear and confident communication with facilities, network, and vendor teams during changes and incidents. Core Physical Requirements Ability to stand and remain on your feet for extended periods, typically four or more consecutive hours during active shift operations. Ability to safely lift, carry, and position equipment weighing up to 50 pounds unassisted, and heavier loads with appropriate team-lift protocols or mechanical aids. Comfortable working at heights including ascending and descending ladders, raised platform equipment, and elevated data center infrastructure. Ability to work in confined spaces such as under raised floors, within enclosed rack enclosures, and in cable management pathways. Comfortable working in environments with variable temperatures, including cold aisle containment zones and active cooling infrastructure. Manual dexterity sufficient to handle small form-factor components, precision cabling, and fine connector installations. Visual acuity sufficient to read equipment labels, small-form-factor interface indicators, and detailed wiring diagrams in variable lighting conditions. Ability to push or pull equipment carts, server sleds, and wheeled infrastructure weighing up to 500 pounds on level surfaces. On-Call Requirement This role includes on-call participation to respond to after-hours critical power and critical cooling events, infrastructure alarms, and urgent maintenance requiring prompt engineering response. Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $49 — $54 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Задачи: – Обеспечивать отказоустойчивость работы платформы искусственного интеллекта, формировать планы аварийных переключений, применять технологии для обеспечения отказоустойчивой работы – Анализировать метрики производительности, проводить анализ причин инцидентов и ошибок работы платформы искусственного интеллекта, разрабатывать меры по недопущению повторений сбоев – Автоматизировать рутинные действия, внедрять и применять лучшие практики подхода "инфраструктура как код" – Принимать участие в проектировании и организации вычислительных ресурсов для решения новых функциональных задач и внедрения в эксплуатацию технологий, в части касающейся системного программного обеспечения оркестрации микросервисов и аппаратно-технических средств используемых в средах с применением графических ускорителей платформ искусственного интеллекта – Осуществлять администрирование системного программного обеспечения платформ искусственного интеллекта, включая операционные системы, оркестратор микросервисов, модули управления и мониторинга и другие компоненты Требования: – Опыт сопровождения Kubernetes от 3 лет – Опыт внедрения кластеров виртуализации, частных/публичных облаков с использованием GPU Nvidia для AI/ML, в т.ч. LLM – Опыт использования и развертывания Istio, haproxy, opensearch, vector, kafka, victoria metrics, vault, kyverno, calico, Kserve, multus, sriov, rdma, infiniband, patroni, postgresql, multi-tenant k8s, nvidia gpu-operator, network operator, dcgm, grafana, argo workflow, argo cd – Опыт внедрения и сопровождения систем с использованием сети Infiniband на базе коммутаторов Mellanox – Понимание работы, тюнинг и настройка OpenSM (настройка фабрик Infiniband) – Навыки использования Go\Python (создание скриптов, операторов K8S) – Знание и применение Ansible/Terraform – Понимание принципов работы NFS, S3 (опыт работы приветствуется)

Задачи: — Развивать продуктовую линейку IaaS/PaaS и GPU-сервисов для B2B и Enterprise-клиентов. — Формировать продуктовую стратегию, roadmap и backlog, определять приоритеты. — Анализировать рынок, конкурентов и потребности клиентов. — Собирать и формализовать требования от клиентов, Sales, Presale и технических команд. — Формировать продуктовые гипотезы, бизнес-требования и пользовательские сценарии, контролировать их реализацию. — Участвовать в разработке тарифов, pricing, SLA, коммерческой упаковки и Go-to-Market. — Отслеживать продуктовые метрики, результаты запусков и обратную связь клиентов. — Взаимодействовать с Engineering, Sales, Marketing, Support и клиентами. — Готовить и проводить презентации продуктов для клиентов. — Обучать Sales-команду продуктам и новым функциональностям. Требования: — Опыт управления IT-продуктами в B2B, желательно IaaS/PaaS, Cloud, DevOps, AI/ML или инфраструктурных сервисах. — Понимание принципов облачной инфраструктуры, виртуализации и GPU-ресурсов. — Опыт формирования продуктовой стратегии, roadmap, backlog и приоритизации. — Умение работать с техническими командами и переводить технические возможности в понятное ценностное предложение для клиента. — Опыт анализа рынка, конкурентов, клиентских потребностей и продуктовых метрик. — Английский язык — достаточный для работы с документацией, вендорами и партнерами. Будет преимуществом: — Опыт с GPU Cloud, AI/ML infrastructure, HPC, Kubernetes, контейнеризацией или ML-платформами. — Понимание сценариев использования GPU: model training, inference, Data Science, rendering, high-performance computing. — Опыт разработки pricing-моделей, тарифов, unit-экономики. — Опыт запуска продуктов с нуля: Discovery → MVP → Go-to-Market → масштабирование. Условия: — Конструктор льгот: страховка, билеты, курсы, фитнес, садик — решаешь ты. — Поддержка психологов: забота о твоем ментальном здоровье. — Курсы и книги: от Coursera, LinkedIn Learning, WebTutor и Альпина — за наш счет. — Конкурентная зарплата: регулярно сверяемся с рынком и пересматриваем, а ещё платим бонус за выполнение KPI. — Связь от Beeline: будь на связи, расходы мы берем на себя. — Карьерный рост: возможность карьерного роста в крупной технологичной компании с 10 млн клиентов.

Location: United States; Canada Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ THE ROLE As a Senior Security Engineer, Offensive Security, you'll help drive offensive security at Docker, putting our products, platforms, and cloud infrastructure under realistic adversarial testing to surface and drive out attack paths before real adversaries find them. You'll partner with engineering, product, and leadership to turn findings into durable fixes and to shape how security is designed into every Docker product. You'll apply your expertise in penetration testing, threat modeling, and exploit development to find and eliminate risks across Docker products and infrastructure. Working across cloud infrastructure (AWS, GCP, Azure), containerized environments, and AI/ML products, you'll implement proactive security solutions that scale with Docker's growth. This role offers the opportunity to help improve security programs at a company whose products are trusted by millions of developers worldwide. You'll work in a fast-paced, technically challenging environment where your security expertise directly impacts both Docker's platform and the broader container ecosystem. _______________________________________________________________________ RESPONSIBILITIES - Contribute to security initiatives that align with business goals, helping ensure security is a core component of our products and infrastructure - Support and help implement key security programs such as automated security design reviews, and vulnerability management - Build deep knowledge of software security and architecture, and act as a go-to resource for engineering teams - Partner with engineering to design and implement security architecture and controls across Docker products and platforms - Plan, scope, and execute penetration tests and red-team / adversary-emulation engagements against Docker's products and services - Develop proof-of-concept exploits and produce clear, risk-rated findings with actionable remediation guidance, then retest fixes to confirm closure - Build and maintain offensive security tooling and automation to expand testing coverage and repeatability - Perform security reviews and threat modeling (design, architecture, and code) across Docker products and services, including emerging AI products, and write automated security tests and exploits - Serve on rotating on-call schedule to respond to security events, investigate threats, and coordinate remediation efforts - Educate and collaborate with cross-functional teams (e.g., engineering, product) to promote security practices - Participate in Security Incident response _______________________________________________________________________ QUALIFICATIONS - Have 3+ years in security engineering, including hands-on offensive security and penetration testing across applications and infrastructure - Possess 2+ years of hands-on development experience in Python or Golang - Demonstrate deep expertise in authentication, authorization, including technologies like OAuth, cryptography applications and Zero Trust principles. - Have strong hands-on experience with securing cloud ecosystems (e.g. AWS, GCP, Azure) - Have hands-on penetration testing experience across SaaS web applications and APIs., including manual exploitation beyond automated scanners - Are proficient with offensive tooling and techniques such as. Burp Suite, and OWASP frameworks - Can write security tests and develop exploits and proof-of-concepts that find real vulnerabilities in a product - Understand AI/ML security risks and mitigations, including prompt injection, data poisoning, model extraction, and adversarial attacks - Have practical experience using LLMs and agentic tooling to automate vulnerability discovery, reconnaissance, and pentesting workflows - Have a track record of building security programs and automations from scratch, applying risk-based prioritization - Have experience performing security reviews and building or improving security review automation - Have excellent communication skills, allowing you to explain complex security concepts clearly to technical and non-technical stakeholders - Understand industry standards, and actively keep up with emerging security technologies and models - Are a team player who drives security change via collaboration and cross-functional partnerships - Hold offensive security certifications such as OSCP, OSWE, OSEP, GXPN, GPEN, or CRTO - Have published CVEs, original security research, or conference talks Bonus if you: - Have experience with container escape, Kubernetes attack paths, or cloud red teaming - Have experience testing AI/ML systems for issues like prompt injection, model extraction, and data poisoning _______________________________________________________________________ WHAT TO EXPECT FIRST 30 DAYS: - Meet with security team and key partners across engineering - Gain access to team owned systems, and internal documentation - Complete security awareness training and compliance onboarding - Review application architecture, tech stack and data flow - Review risk registry and annual roadmap - Familiarize oneself with team workflows and processes - Shadow a fellow security engineer during their on-call/secops rotations FIRST 90 DAYS: - Conduct security review on emerging Docker products - Scope and execute your first penetration test against a Docker product or service - Actively participate in architecture design reviews with the team - Contribute to a Security-owned project or initiative - Collaborate with Docker developers to validate and resolve discovered vulnerabilities - Enhance incident response capabilities by participating in on-call rotation and post-incident activities - Create and maintain security documentation and runbooks FIRST YEAR OUTLOOK - Contribute to the security roadmap for improving security controls - Strengthen Zero Trust architecture and least privilege access controls - Enhance security monitoring and anomaly detection - Perform security reviews for major product releases - Own and run recurring penetration tests and adversary-emulation exercises across Docker products, and engage with external researchers - Support audits and ensure compliance with SOC 2, ISO 27xxx - Advocate for “security by design” in all product features - Become well versed in Docker products and emerging AI technologies Visa sponsorship: Not available for this role. _______________________________________________________________________   COMPENSATION & EQUITY All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location. Canada: CA$271,150 – CA$434,000 base United States: $194,150 – $312,950 base ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: San Francisco Perplexity is continuing to rapidly scale our Enterprise Engineering Organization and seeking Engineering Managers with deep expertise across the Enterprise domain to help lead the next wave of growth. As an Enterprise Engineering Manager, you will combine technical judgment, product intuition, and people leadership to help large organizations adopt AI at scale. We are hiring across the enterprise control plane, enterprise data plane, and connector marketplace and activation. Depending on your area of focus, you will lead and grow a team in one of these areas, addressing challenges such as: Enterprise Control Plane: Building the identity, security, and governance foundations that enable large organizations to deploy Perplexity confidently, including SSO, SCIM, role-based access, customer-managed encryption keys (BYOK), admin APIs, and enforceable policies governing access to data, models, and tools. Supporting regulated-industry requirements, including SOC 2, HIPAA, data governance, and residency, with audit logs and analytics that give administrators visibility into how Perplexity is used. Enterprise Data Plane: Building the connector platform and semantic data layer that give Computer reliable, permission-aware access to enterprise systems and knowledge, including managed authorization, private-system access, and data freshness. Connector Marketplace and Activation: Building discovery, recommendations, onboarding, and marketplace experiences that help customers find and adopt integrations, while working with partners to expand the connector ecosystem. Across these areas, you will translate enterprise customer needs into scalable technical solutions across Perplexity’s products. RESPONSIBILITIES - Set technical direction for your team and guide architecture decisions across the enterprise platform. - Build the foundational systems that enable large organizations to deploy Perplexity broadly and confidently. - Shape roadmaps with product and design, applying strong technical judgment and product intuition. - Set a high bar for reliability, code quality, testing, and maintenance. Lead incident response and ensure platform changes and connector migrations are rolled out safely. - Partner with engineering teams across the company to ensure the platforms we build are extensible and easy to adopt. - Represent engineering in strategic enterprise customer conversations, partnering with sales and customer success to understand requirements and remove barriers to adoption. - Oversee hiring, onboarding, and mentorship for a rapidly growing team. Develop rigorous interview pipelines and work closely with recruiting to source candidates. - Work with Perplexity’s co-founders to deliver enterprise engineering priorities. QUALIFICATIONS - Strong technical judgment and experience building enterprise platforms or products, with an understanding of the reliability, security, and usability requirements of enterprise customers. - Domain expertise in at least one of the following areas: - Enterprise control plane: identity and access management, SSO/SCIM, role-based access, key management, admin APIs, policy enforcement, audit logging, data governance, or compliance and residency requirements for regulated industries. - Enterprise data plane: connector and integration platforms, including authentication, source-system permissions, data synchronization, and reliability at scale; or semantic data layers and knowledge platforms that make enterprise data accessible and useful to AI. - Connector marketplace and activation: discovery and recommendation systems, integration onboarding, marketplace product UX, or technology partner ecosystems. - Ability to deliver in a fast-moving environment while balancing customer needs, technical quality, and long-term maintainability. - Detail-oriented and quality-focused - our customers run critical workflows on Perplexity, and our product needs to stay robust and reliable. - Ability to translate enterprise customer needs into clear technical priorities and communicate tradeoffs effectively. - Experience building and managing high-performing engineering teams, with a strong management practice grounded in clear feedback, effective 1:1s, career development, and recruiting and retaining high-caliber talent. - Ability to lead parallel technical initiatives, align strong technical perspectives, and make clear prioritization and tradeoff decisions. - Experience with AI/ML products, enterprise AI adoption, or scaling enterprise platforms at a startup is a plus. - 8+ years of engineering experience, with at least 4 of those years as an engineering manager.

Location: San Francisco Perplexity is continuing to rapidly scale our Enterprise Engineering Organization and seeking Engineering Managers with deep expertise across the Enterprise domain to help lead the next wave of growth. As an Enterprise Engineering Manager, you will combine technical judgment, product intuition, and people leadership to help large organizations adopt AI at scale. We are hiring across the enterprise control plane, enterprise data plane, and connector marketplace and activation. Depending on your area of focus, you will lead and grow a team in one of these areas, addressing challenges such as: Enterprise Control Plane: Building the identity, security, and governance foundations that enable large organizations to deploy Perplexity confidently, including SSO, SCIM, role-based access, customer-managed encryption keys (BYOK), admin APIs, and enforceable policies governing access to data, models, and tools. Supporting regulated-industry requirements, including SOC 2, HIPAA, data governance, and residency, with audit logs and analytics that give administrators visibility into how Perplexity is used. Enterprise Data Plane: Building the connector platform and semantic data layer that give Computer reliable, permission-aware access to enterprise systems and knowledge, including managed authorization, private-system access, and data freshness. Connector Marketplace and Activation: Building discovery, recommendations, onboarding, and marketplace experiences that help customers find and adopt integrations, while working with partners to expand the connector ecosystem. Across these areas, you will translate enterprise customer needs into scalable technical solutions across Perplexity’s products. RESPONSIBILITIES - Set technical direction for your team and guide architecture decisions across the enterprise platform. - Build the foundational systems that enable large organizations to deploy Perplexity broadly and confidently. - Shape roadmaps with product and design, applying strong technical judgment and product intuition. - Set a high bar for reliability, code quality, testing, and maintenance. Lead incident response and ensure platform changes and connector migrations are rolled out safely. - Partner with engineering teams across the company to ensure the platforms we build are extensible and easy to adopt. - Represent engineering in strategic enterprise customer conversations, partnering with sales and customer success to understand requirements and remove barriers to adoption. - Oversee hiring, onboarding, and mentorship for a rapidly growing team. Develop rigorous interview pipelines and work closely with recruiting to source candidates. - Work with Perplexity’s co-founders to deliver enterprise engineering priorities. QUALIFICATIONS - Strong technical judgment and experience building enterprise platforms or products, with an understanding of the reliability, security, and usability requirements of enterprise customers. - Domain expertise in at least one of the following areas: - Enterprise control plane: identity and access management, SSO/SCIM, role-based access, key management, admin APIs, policy enforcement, audit logging, data governance, or compliance and residency requirements for regulated industries. - Enterprise data plane: connector and integration platforms, including authentication, source-system permissions, data synchronization, and reliability at scale; or semantic data layers and knowledge platforms that make enterprise data accessible and useful to AI. - Connector marketplace and activation: discovery and recommendation systems, integration onboarding, marketplace product UX, or technology partner ecosystems. - Ability to deliver in a fast-moving environment while balancing customer needs, technical quality, and long-term maintainability. - Detail-oriented and quality-focused - our customers run critical workflows on Perplexity, and our product needs to stay robust and reliable. - Ability to translate enterprise customer needs into clear technical priorities and communicate tradeoffs effectively. - Experience building and managing high-performing engineering teams, with a strong management practice grounded in clear feedback, effective 1:1s, career development, and recruiting and retaining high-caliber talent. - Ability to lead parallel technical initiatives, align strong technical perspectives, and make clear prioritization and tradeoff decisions. - Experience with AI/ML products, enterprise AI adoption, or scaling enterprise platforms at a startup is a plus. - 8+ years of engineering experience, with at least 4 of those years as an engineering manager.

Location: Independence, Missouri, United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role We are looking for a Senior Hardware Support Engineer to own production hardware reliability across large-scale, mission-critical data center environments. This role operates at the intersection of hardware engineering, operations, and vendors, ensuring fleet stability, rapid root cause identification, and continuous improvement of server and platform reliability. You will act as a senior escalation point for complex hardware and firmware issues affecting production systems, driving investigations from symptom to root cause and coordinating resolution across engineering, vendors, and on-site teams. The role requires strong analytical thinking, structured problem-solving methodology, and deep hardware expertise in high-density, performance-critical infrastructure environments. Your responsibilities will include Leading root cause analysis for complex hardware and firmware failures across production fleets Aggregating recurring problems and error patterns to identify systemic reliability issues Acting as the senior escalation point for hardware-related incidents impacting availability or performance Coordinating with vendors to drive timely diagnostics, RMAs, firmware fixes, and corrective actions Partnering with internal engineering teams to validate fixes and prevent recurrence Performing hardware and firmware validation before fleet-wide rollout Driving structured incident investigations using established IT problem management methodologies Supporting on-site teams with technical coordination during critical hardware events Improving hardware observability, failure tracking, and reporting processes Contributing to long-term hardware reliability strategy and fleet-wide stability improvements What we expect you to have Strong hands-on expertise with server hardware in data center or large-scale production environments Proven experience performing root cause analysis of hardware and firmware failures Deep understanding of server components (CPU, memory, storage, networking, power, BMC) and failure modes Experience working directly with hardware vendors and engineering teams to resolve production issues Structured problem-solving skills using formal IT or incident management methodologies Strong analytical capabilities and ability to interpret logs, telemetry, and error patterns Experience coordinating technical activities with on-site operations teams Ability to manage multiple concurrent investigations with production impact Clear written and verbal communication skills in cross-functional environments It will be an added bonus if you have Experience in GPU-dense, AI, or high-performance computing environments Exposure to firmware lifecycle management and large-scale rollout validation Familiarity with Linux-based production systems and infrastructure tooling Experience improving fleet-wide hardware reliability metrics at scale Working conditions Onsite work in the Independence Missouri Data center. Participation in incident escalations for production-impacting events Key employee benefits Comprehensive medical, dental, and vision coverage 401(k) plan with company contribution Flexible paid time off Paid parental leave Professional development support Compensation $125,000 – $180,000 per year plus annual performance-based bonus. #LI-AL1 Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $147,200 — $183,900 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Birmingham, Alabama, United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role We are looking for a Senior Hardware Support Engineer to own production hardware reliability across large-scale, mission-critical data center environments. This role operates at the intersection of hardware engineering, operations, and vendors, ensuring fleet stability, rapid root cause identification, and continuous improvement of server and platform reliability. You will act as a senior escalation point for complex hardware and firmware issues affecting production systems, driving investigations from symptom to root cause and coordinating resolution across engineering, vendors, and on-site teams. The role requires strong analytical thinking, structured problem-solving methodology, and deep hardware expertise in high-density, performance-critical infrastructure environments. Your responsibilities will include Leading root cause analysis for complex hardware and firmware failures across production fleets Aggregating recurring problems and error patterns to identify systemic reliability issues Acting as the senior escalation point for hardware-related incidents impacting availability or performance Coordinating with vendors to drive timely diagnostics, RMAs, firmware fixes, and corrective actions Partnering with internal engineering teams to validate fixes and prevent recurrence Performing hardware and firmware validation before fleet-wide rollout Driving structured incident investigations using established IT problem management methodologies Supporting on-site teams with technical coordination during critical hardware events Improving hardware observability, failure tracking, and reporting processes Contributing to long-term hardware reliability strategy and fleet-wide stability improvements What we expect you to have Strong hands-on expertise with server hardware in data center or large-scale production environments Proven experience performing root cause analysis of hardware and firmware failures Deep understanding of server components (CPU, memory, storage, networking, power, BMC) and failure modes Experience working directly with hardware vendors and engineering teams to resolve production issues Structured problem-solving skills using formal IT or incident management methodologies Strong analytical capabilities and ability to interpret logs, telemetry, and error patterns Experience coordinating technical activities with on-site operations teams Ability to manage multiple concurrent investigations with production impact Clear written and verbal communication skills in cross-functional environments It will be an added bonus if you have Experience in GPU-dense, AI, or high-performance computing environments Exposure to firmware lifecycle management and large-scale rollout validation Familiarity with Linux-based production systems and infrastructure tooling Experience improving fleet-wide hardware reliability metrics at scale Working conditions Onsite work in the Birmingham Alabama Data center. Participation in incident escalations for production-impacting events Key employee benefits Comprehensive medical, dental, and vision coverage 401(k) plan with company contribution Flexible paid time off Paid parental leave Professional development support Compensation $125,000 – $180,000 per year plus annual performance-based bonus. #LI-AL1 Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $147,200 — $183,900 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: New Jersey, United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role We are looking for a Senior Hardware Support Engineer to own production hardware reliability across large-scale, mission-critical data center environments. This role operates at the intersection of hardware engineering, operations, and vendors, ensuring fleet stability, rapid root cause identification, and continuous improvement of server and platform reliability. You will act as a senior escalation point for complex hardware and firmware issues affecting production systems, driving investigations from symptom to root cause and coordinating resolution across engineering, vendors, and on-site teams. The role requires strong analytical thinking, structured problem-solving methodology, and deep hardware expertise in high-density, performance-critical infrastructure environments. Your responsibilities will include Leading root cause analysis for complex hardware and firmware failures across production fleets Aggregating recurring problems and error patterns to identify systemic reliability issues Acting as the senior escalation point for hardware-related incidents impacting availability or performance Coordinating with vendors to drive timely diagnostics, RMAs, firmware fixes, and corrective actions Partnering with internal engineering teams to validate fixes and prevent recurrence Performing hardware and firmware validation before fleet-wide rollout Driving structured incident investigations using established IT problem management methodologies Supporting on-site teams with technical coordination during critical hardware events Improving hardware observability, failure tracking, and reporting processes Contributing to long-term hardware reliability strategy and fleet-wide stability improvements What we expect you to have Strong hands-on expertise with server hardware in data center or large-scale production environments Proven experience performing root cause analysis of hardware and firmware failures Deep understanding of server components (CPU, memory, storage, networking, power, BMC) and failure modes Experience working directly with hardware vendors and engineering teams to resolve production issues Structured problem-solving skills using formal IT or incident management methodologies Strong analytical capabilities and ability to interpret logs, telemetry, and error patterns Experience coordinating technical activities with on-site operations teams Ability to manage multiple concurrent investigations with production impact Clear written and verbal communication skills in cross-functional environments It will be an added bonus if you have Experience in GPU-dense, AI, or high-performance computing environments Exposure to firmware lifecycle management and large-scale rollout validation Familiarity with Linux-based production systems and infrastructure tooling Experience improving fleet-wide hardware reliability metrics at scale Working conditions Onsite work in the Vineland New Jersey Data center. Participation in incident escalations for production-impacting events Key employee benefits Comprehensive medical, dental, and vision coverage 401(k) plan with company contribution Flexible paid time off Paid parental leave Professional development support Compensation $125,000 – $180,000 per year plus annual performance-based bonus. #LI-AL1 Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $147,200 — $183,900 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Singapore 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 We are seeking an International Accounting expert (APAC) to join our International Accounting team in Singapore. This role reports to our APAC Accounting Lead and is the first hire in our Singapore hub. In this pivotal role, you will build and implement the framework for local compliance across our APAC entities (Singapore, Japan, Korea, Australia and India), with an initial focus on Singapore, Japan and Korea, while flexibly adapting to our evolving needs as we scale. As a key contributor to establishing our regional accounting operations, you'll partner closely with our global teams while taking ownership of the processes and systems you help create. If you're looking for an opportunity to make a significant impact on the financial infrastructure of an innovative AI company at the forefront of safety, come join us in our mission to build cutting-edge, safe AI. Responsibilities Build and implement frameworks for local compliance across our APAC entities, ensuring alignment with both local statutory requirements and global standards Establish and maintain frameworks for local financial statement review on a monthly basis, including local flux analysis and variance explanations Participate in the development and implementation of international finance policies, adapting existing global policies for regional requirements and establishing local approval workflows Execute monthly consolidation processes and eliminations across international entities, including journal entry preparation and booking, intercompany eliminations, and reconciliations, to ensure timely and accurate group-level reporting Manage intercompany transactions and develop frameworks to support global scaling, including transfer pricing documentation and compliance Handle foreign exchange (FX) transactions and develop monthly processes for currency consolidation and risk management Perform comprehensive reconciliations of balance sheet accounts, ensuring accuracy and completeness of financial records Support local statutory audits of the APAC entities, coordinating with external auditors and preparing comprehensive audit schedules and documentation Support tax compliance framework development and implementation across international jurisdictions Partner with US-based teams to ensure seamless integration of international operations with global financial processes Leverage technology and tools to drive continuous improvement, automation, and operational excellence across international accounting processes, with a focus on finance transformation You may be a good fit if you Have 8+ years of accounting experience, preferably in high-growth environments with multi-country exposure across APAC Have a bachelor's degree in Accounting or Finance, or equivalent practical experience Are a qualified accountant with professional certification (CA, CPA, ACCA or equivalent) Possess deep knowledge of US GAAP, IFRS, and the local statutory framework in at least one of Singapore, Japan, Korea, Australia or India, with strong understanding of statutory reporting requirements Are proficient in Workday, NetSuite, or similar ERP systems, with experience building and optimizing accounting workflows Have experience with consolidations, eliminations, and intercompany accounting processes Demonstrate curiosity and initiative, with a strong drive to independently identify and solve problems Are highly collaborative and able to build strong relationships across time zones and cultures Ability to effectively communicate and influence in a globally distributed team Take high ownership of your work and have the flexibility to adapt to changing needs and priorities Exhibit strong organizational and time-management abilities with exceptional attention to detail Strong candidates may also: Have prior experience at a high-growth technology company, particularly in international operations Bring FX experience including hedging strategies and currency risk management Have worked with complex group structures and multi-jurisdictional consolidations Demonstrate comfort with ambiguity and building processes from the ground up Possess experience working across different time zones and cultural contexts Have knowledge of AI/ML company dynamics and business models Show passion for Anthropic's mission to develop safe and ethical AI systems, with enthusiasm for leveraging AI tools to drive automation and process improvement 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.