Вакансии

Предстоит руководить девятью специалистами: backend-, web- и мобильными разработчиками, QA и аналитиком. Нужны от 3 лет работы тимлидом, опыт PHP-разработки и понимание выпуска мобильных продуктов.

- Формирование и управление командой до 5 Affiliate Managers.

— Управлять присутствием бренда на 7 ключевых площадках.

— реализовывать SMM-стратегию для проекта подросткового сегмента; — разрабатывать и вести контент-планы;

Ждем в команду операционного директора, который возьмет под управление производственный контур компании: площадки в Москве, Иваново и Кирове, закупки, качество, склад и логистику. - объединять закупки, производство, качество, склад и логистику в единый операционный контур;

Стажировка для иностранных студентов, желающих поработать в сфере менеджмента артистов и музыкальной индустрии. Требования: знание английского, высокая академическая успеваемость.

• Проводить Customer & Product Discovery: исследовать потребности пользователей, проводить интервью, формировать и проверять гипотезы; • Развивать пользовательский опыт (UX), улучшать onboarding и ключевые продуктовые сценарии, делать простые прототипы самостоятельно;

-организация работы ИТ-команды (до 12 человек), включая найм и мотивацию сотрудников.

- Опыт ведения LiveOps-направления в мобильных играх в роли LiveOps Producer, Senior Game Designer, Product Owner или в смежной роли. - 3+ года опыта работы в нише казуальных пазлов.

- Выстраивать и оптимизировать операционные процессы: проводить диагностику текущей деятельности, выявлять узкие места и внедрять улучшения в процессы выдачи и сопровождения кредитных продуктов. Также рассматриваем кандидатов из банковского сектора и кредитного финтеха с опытом в потребительском кредитовании и пониманием специфики микрофинансового бизнеса.

— придумывать идеи и составлять контент-план; — готовить и публиковать материалы;

Опыт в продуктовом управлении от 3 лет (Senior PM / Lead PM / Head of Product).

Кого ищем: Лидера с опытом управления распределенной логистикой (склад + транспорт) от 5 лет в ритейле, e-com или FMCG. Что делать: — Отвечать за SLA, OPEX и себестоимость в сети 9+ площадок.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Claude Partner Network is how consulting firms, systems integrators, and other services partners build practices around Claude. When a company chooses a partner, it wants to know which firms have done this work well, in its industry and for its use case. Specializations are how the program will give it: credentials showing that a partner has demonstrated expertise in a given domain area. As Partner Specializations Lead, you'll own this program end to end: the requirements a firm has to meet, the evidence review that decides who qualifies, the benefits that make a specialization worth earning, and the operating rhythm that keeps it credible year after year. Your job is to take an early framework into a structure that scales: opening it to thousands of partners, running evaluation cycles, and launching new specializations with cross-functional input. This role suits someone who likes owning a standard. You'll work with partner managers, operations, enablement, marketing, and industry teams who each hold a piece of the program, and with senior leaders at partner firms who care a great deal about the outcome. A specialization only means something if it's earned, so you'll need to be rigorous with evidence, consistent in your decisions, and firm and clear when the answer is no. Key responsibilities Own each specialization's requirements, evidence standards, and benefits, and keep them current as our products and the partner network change Run each evaluation cycle from invitation to decision: collect partner evidence, reconcile it against internal data, lead the review, and document every decision Make and defend qualification decisions, including borderline cases, and apply the standard consistently across firms of very different sizes Communicate outcomes to partner executives and their Anthropic account teams, including clear guidance for firms that did not qualify Open the program to the wider partner network, and recommend which specializations come next based on customer demand, partner readiness, and Anthropic's priorities Define the evidence standard for new specializations with Applied AI, Product, and industry go-to-market teams Coordinate the teams that deliver the program's benefits (marketing, the partner directory, field enablement, technical support) so that earning a specialization leads to something real Work with Partner Enablement so that partner learning paths and certifications support each specialization Build the operating rhythm: renewal, remediation periods, an appeals path, and the tracking and reporting that show whether the program is working Design the review process to scale, using Claude and automation so that routine steps don't depend on a person Write and maintain partner-facing guidance (program guide sections, FAQs, application materials), clear enough for a partner to know where it stands without asking us, and internal guidance for field teams Use program data to recommend where each requirement's bar should sit and when it should move, and bring those recommendations to partner leadership Minimum qualifications Experience owning an external-facing program with published requirements (a partner, channel, certification, accreditation, or similar program), including running at least one full evaluation, qualification, or renewal cycle Experience making qualification or eligibility decisions against a written standard and communicating those decisions, including declines, to senior external stakeholders Experience working with CRM or PRM data, such as Salesforce reports or a partner portal, as a regular part of your job Strong writing: able to produce clear program requirements, decision memos, and partner-facing guidance that need little editing Experience leading work to a fixed date across several teams you do not manage, such as operations, marketing, enablement, and field teams Work effectively where the process is still being built and the details are still changing Are excited about Anthropic's mission to develop AI that is safe and beneficial Preferred qualifications Experience designing or running a partner competency, specialization, or credential program at a technology company Experience with services partners (systems integrators, consultancies) from either side: managing them at a vendor, or building a practice around a vendor's technology at a firm, and an understanding of how those firms decide where to invest their people SQL or BI-tool skills sufficient to pull and check your own program data Experience taking a program from its first launch to a repeatable operating cycle Experience launching a program publicly with marketing and communications partners Enough technical depth to judge whether a partner's evidence of a software or AI deployment holds up Experience working with customers in regulated or specialized industries, such as financial services, healthcare, or the public sector Experience designing partner benefits or incentives, and an understanding of how they change partner behavior Hands-on experience building AI workflows with Claude or similar tools, and curiosity about how AI changes professional services delivery The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $300,000 — $365,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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.

Location: San Jose, California, United States Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity We are seeking a Model Risk Director focused on Fraud and AI to join OKX’s Model Risk Management (MRM) function. As a senior member of the second line of defense (2LOD), this leader will provide independent oversight and effective challenge of fraud models used to detect, prevent, and manage fraud risk across OKX’s products and customer journeys. The role will lead end-to-end validation of fraud models, from conceptual soundness, data and implementation review to outcomes analysis, performance monitoring, and remediation follow-up. The portfolio may include supervised machine learning models, anomaly detection, graph and network analytics, rules-based or hybrid systems, and AI-enabled fraud applications. The ideal candidate brings deep hands-on experience in fraud model validation, strong quantitative judgment, and practical experience assessing AI/ML models. This person will partner closely with Fraud, Risk, Product, Data Science, Engineering, Compliance, and Audit teams while maintaining the independence of the MRM function. This is a hands-on, builder role: the successful candidate will independently establish the fraud model validation capability from the ground up, personally execute validations, and play a leading role in assessing AI-enabled systems. What You’ll Be Doing Establish and own the independent validation framework for fraud models and AI-enabled decision systems across OKX products, covering conceptual soundness, data quality, implementation, and outcomes analysis, in line with SR 26-2 and equivalent model risk frameworks. Assess model conceptual soundness, intended use, assumptions, and limitations. Personally execute end-to-end model validations as the technical expert, including independently reproducing results through hands-on data analysis and code review. Assess AI/ML and generative AI applications, including LLM-based and agentic systems, for robustness, reliability, explainability, and appropriate human oversight, applying strong applied AI evaluation expertise. Perform ongoing monitoring review and periodic revalidation to ensure sustained model performance through changing fraud patterns and business conditions. Provide effective challenge to model owners; communicate conclusions, limitations, and risk ratings clearly to senior management and governance forums, and track remediation through closure. Build and continuously mature the fraud model validation capability, standards, and workflows within MRM. What We Look For In You Master’s or Ph.D. in a quantitative field such as Statistics, Mathematics, Computer Science, or a related discipline, or equivalent experience. 10+ years of quantitative, fraud risk, or model risk experience, with a recognized track record as a hands-on technical expert who personally delivers independent validations of models and decision systems. Excellent communication and judgment, including the ability to explain quantitative findings to senior audiences and constructively challenge model owners. Practical experience with statistical and machine learning methods; proficiency in Python and SQL; working knowledge of SR 11-7 or equivalent model risk and AI governance frameworks. Experience with AI/ML governance and controls, including explainability, fairness, robustness, ongoing monitoring, or generative and agentic AI applications in fraud operations. Nice to Haves Experience establishing validation frameworks, methodologies, or capabilities in settings where they did not previously exist. Strong applied AI capability: hands-on experience evaluating or building ML/LLM-based systems in production, including prompt engineering, evaluation harnesses, fine-tuning assessment, or agentic AI workflows; able to run red-team style testing on AI applications. Perks & Benefits Competitive total compensation package Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! OKX Statement: OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. The salary range for this position is $200,000 - $300,000 The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via OKX internal or external careers site. Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

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 Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As the founding leader of Applied AI Solutions Architecture in Singapore, you will drive the adoption of frontier AI by enabling the deployment of Anthropic's products (Claude for Enterprise, Claude Code, and API) across ASEAN enterprises and digital-first organizations. You'll leverage your technical skills and consultative sales experience to drive positive AI transformation that addresses our customers' business needs, meets their technical requirements, and provides a high degree of reliability and safety. You'll be responsible for building and leading the ASEAN Applied AI team from the ground up. Applied AI comprises Solutions Architects, Product Engineers, and Finetuning Engineers. You will establish processes and best practices for the region's technical pre-sales engagements based on your years of experience, help each team member achieve success, high productivity, and career growth, and represent Anthropic as a technical lead on some of its most important partnerships across ASEAN. In collaboration with the Sales, Product, and Engineering teams globally and locally, you'll help enterprise partners across ASEAN incorporate leading-edge AI systems into their cutting-edge products and platforms. You will employ your excellent communication skills to explain and demonstrate complex solutions persuasively to technical and non-technical audiences alike. You will play a critical role in identifying opportunities to innovate and differentiate our AI systems, while maintaining our best-in-class safety standards. Responsibilities Build and manage the foundational team of Applied AI professionals in ASEAN regions (Solutions Architects and Product Engineers) providing both technical guidance and career development Set goals and reviews for your team, promoting growth and output Work with a handful of highest-value enterprise customers across ASEAN on their overall AI adoption strategies, focusing on pre-sales technical excellence including use case scoping, technical champion building, and POC execution Partner closely with your aligned GTM leadership to understand customer requirements & co-build GTM strategies to drive adoption for ASEAN enterprise customers Contribute to thought leadership through conference presentations, webinars, and technical content creation within the ASEAN market Own the technical portions of pre-sales engagements, ensuring your team provides compelling demos and validates enterprise customer ROI from Anthropic products Drive collaboration from cross-functional teams to influence and unify stakeholders at all levels of the organization to drive business outcomes Travel regularly to customer sites across ASEAN for executive-level sessions, technical workshops, and building relationships Establish a shared vision for creating solutions that enable beneficial and safe AI in technology products Lead the vision, strategy, and execution of innovative solutions that leverage our latest models' capabilities Stay current with emerging AI/ML trends and competitive landscape in the ASEAN enterprise tech sector, including the region's highly regulated industries (financial services, government, resources) You may be a good fit if you have 15+ years of experience as a Solutions Architect, Sales Engineer, or similar pre-sales technical role 5+ years of technical go-to-market management experience, specifically managing pre-sales teams Experience working with ASEAN enterprise customers and understanding local business culture, procurement processes, and decision-making dynamics across ASEAN Familiarity with the ASEAN regulatory landscape (e.g., Singapore Privacy Principles, APRA CPS 234, data sovereignty requirements) and how it impacts enterprise AI deployments Experience with the unique technical requirements and technical procurement process of enterprise tech companies Deep technical proficiency with enterprise AI deployments, API integrations, and production LLM use cases Have an organizational mindset and enjoy building foundational teams in a relatively unstructured environment Have excellent communication, collaboration, and coaching abilities Are comfortable dealing with highly uncertain, ambiguous, and fast-moving environments typical of the tech industry Strong executive presence and ability to foster deep relationships with technical leaders and engineering teams Have at least a high level familiarity with the architecture and operation of large language models and/or ML in general Experience with prompt engineering, LLM evaluation, and architecting AI-powered systems Make ambiguous problems clear and identify core principles that can translate across scenarios Have a passion for making powerful technology safe and societally beneficial Think creatively about the risks and benefits of new technologies, and think beyond past checklists and playbooks Stay up-to-date and informed by taking an active interest in emerging research and industry trends Understanding of developer tooling, SDKs, and technical integration patterns common in enterprise tech companies 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.

Ваши задачи: Аудит и аналитика социальных сетей​​​​​​​;

Планирование и реализация контент-плана для Le Mousse и DLYa KOJi da в Instagram*, VK, Pinterest, TikTok, YouTube, Яндекс Дзен; Создание stories;