Вакансии

Задачи: — Писать триггерные и продающие посты для Telegram (80% работы). — Работать с темами инвестиций, фондового рынка, управления капиталом. — Использовать реальные материалы эксперта: кейсы, цифры, логику. — Создавать тексты, которые читаются как разговор с умным человеком, а не как учебная статья. Требования: — Знание базы Захаряна, «Бронебойный копирайтинг» как минимум для триггерных и продающих постов. — Опыт написания email-рассылок: велком-цепочки, прогрев, запускные письма. — Навыки создания текстов для лендингов и продающих страниц. — Опыт работы в теме финансов или способность быстро войти в неё. — Тон текстов должен быть уверенным, экспертным, без воды и мотивационного флуда. Будет плюсом: — Опыт написания длинных постов (3000–4000 символов) со структурой. — Создание сценариев для Stories и Reels. — Оформление карточек, лид-магнитов, лонгридов. — Опыт в запусках инфопродуктов и написании текстов для воронок. Условия: — Удалённая работа. — Проект на апрель–май с перспективой ведения канала. — Оплата обсуждается на созвоне. — Занятость частичная на старте с возможным переходом на полную.

Location: Almaty, Kazakhstan Workplace: OnSite WHY WORK AT HIGGSFIELD AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 30M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like. WHAT THIS ROLE MEANS AT HIGGSFIELD Most subscription businesses lose a password. We lose GPU-seconds. When someone runs two hundred accounts off one card to harvest a per-account promotional grant, the cost lands on our compute bill the same hour, and it does not stop until somebody finds them. We have found operators doing exactly that — hundreds of accounts, synchronised signups, machine- generated emails, round-the-clock automation — and we have also found that most of our worst- margin accounts are not abusers at all, just heavy users on an unlimited plan. Telling those two apart, account by account, with evidence that survives being challenged, is this job. You are the person who finds them, proves it, and puts a number on it. You make sure: - Every enforcement action we take is backed by evidence a stranger could follow - We know what abuse cost us last month, on the same basis as last month - The detection system is measured against real cases, not against its own past decisions - When a ring changes shape, somebody notices this week — and that somebody is you WHAT YOU WILL DO Investigation & casework - Run ring investigations end to end: from a flagged account or a cost anomaly to a named cluster, its members, its signature, its lifetime economics and a recommended action. - Build the linkage yourself — shared payment instruments, IP and ASN concentration, email-stem families, registration bursts, behavioural and automation fingerprints — and know which links are evidence and which are coincidence. - Separate abuse from unprofitable-but-legitimate every single time. On an unlimited plan, negative gross margin is normal. Cost is a gate, never a trigger. - Triage the review queue the detection system produces, and feed what you learn back into it. Your adjudications are the only unbiased labels the scientist has. Evidence & defensibility - Produce evidence packages that hold up outside the company — to an external auditor, to a payment network, to a customer disputing a ban, to Legal enforcing our Terms. Our abuse work has already been used in all four contexts. - Write per-account, not per-ring, when the action is per-account. A ban list without a reason column is not evidence. - Know what our Terms of Use actually entitle us to do, and flag when the evidence supports the finding but not the action. Quantification & reporting - Own the abuse loss number: what it cost, on what basis, net of the revenue we reversed and the legitimate customers we caught by mistake. Same definition every month, written down. - Distinguish COGS burned, revenue at risk, revenue reversed and cash refunded — they are four different numbers and people will conflate them. - Build the recurring reporting that tells us whether the problem is growing, and the ad-hoc answer to "why did compute spike last Tuesday" that is due the same day. Monitoring & adaptation - Watch the detectors themselves. A rule that stops firing is a detection event, not a quiet week. - Check the instrument before explaining the movement: a missing upstream table, a silently dropped join, a vendor signal that went away. This has bitten us and it will again. - Spot new abuse patterns before they are in anybody's model — usually in a cost anomaly, a strange cohort, or a support ticket that does not fit. How we work - SQL and Python on raw payment, usage and identity data in BigQuery, without anyone preparing it for you. We use AI heavily — resourcefulness beats syntax. - Close partnership with the Antifraud data scientist (you validate what they build), Payments (chargebacks and processor signals), Support (the humans who meet your false positives) and Finance (the loss number goes in the accounts). WHO WE'RE LOOKING FOR - 2+ years doing investigative or risk analytics — fraud, abuse, trust and safety, AML, chargebacks, gaming or marketplace integrity. What matters is that you have chased real bad actors, not modelled them in the abstract. - Strong SQL, without help. Self-joins, window functions, cohort replay, and joining payments to usage to identity across messy keys. This is the single most-used skill in the role. - Python at working level for analysis — pandas, notebooks, a bit of graph work. - Investigative instinct: you follow the thread, you notice the thing that does not fit, and you can say when a pattern is a coincidence. - Evidentiary discipline: you can write up a finding so that somebody who distrusts you can check it, and you know the difference between "this looks like abuse" and "this is provable." - Unit-economics literacy: gross margin per account, what compute costs, and why a negative-margin customer may be entirely legitimate. - The judgment to escalate rather than act when the evidence is thin, and to say so in writing. - Clear written and spoken English, B2+. Backgrounds that often do well: - Fraud / risk analysts from fintech, payments, marketplaces, gaming, crypto or betting - Trust & safety investigators and platform-integrity analysts - Chargeback, dispute or AML analysts who write their own queries - Strong product or BI analysts who got handed the abuse problem and kept it WHAT THIS ROLE IS NOT This role is not a fit if you: - Want to build models full time — that is the Antifraud data scientist, and it is open - Want to do content moderation or NSFW classification - Would put an account on a ban list without being able to say why in one sentence - Treat every negative-margin account as an abuser - Need a labelled dataset or a clean table before you can start - Are uncomfortable that your work gets real people's accounts restricted, sometimes wrongly - Want predictable 9–5 workdays HIRING PROCESS - Screening call (30 min) - Hiring-manager screen (30 min) - Business case (1,5 hour) - Tech interview (1,5 hour) - Final interview (30 min) - Paid on-site trial (1 month) THE DEAL - Competitive salary in USD - Equity: participation in the company's stock option program - On-site role in Almaty, Kazakhstan - Relocation support (flight + temporary housing) - Flat structure, high autonomy, fast career growth

Location: Almaty, Kazakhstan Workplace: OnSite WHY WORK AT HIGGSFIELD AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 30M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like. WHAT THIS ROLE MEANS AT HIGGSFIELD Generative video has a problem most subscription businesses don't: every unit we sell costs us real compute. A stolen password costs a streaming service nothing. An account farm on an unlimited generation plan costs us GPU-seconds, at scale, every hour it runs. We have found organised operators running hundreds of accounts on a single card, reselling unlimited generations, and harvesting per-account promotional grants at industrial scale. We have also found that most of our negative-margin accounts are not abuse at all — they are ordinary heavy users on an unlimited plan, which is a pricing problem wearing a fraud costume. Telling those two populations apart, at account level, before the money is gone, is this job. You own the question of who is taking value they did not pay for, and the system that stops them. You make sure: - We catch abuse before the compute is burned, not in a post-mortem that reconciles the loss - Every enforcement action has a measured precision, a measured cost of being wrong, and a way back for the customer we got wrong - The difference between fraud and unprofitable pricing is a number we can defend, not a vibe - When operators adapt — and they will, within days — we find out from a monitor, not from the monthly margin review WHAT YOU WILL DO Detection & scoring - Own the account-abuse scoring system end to end: signals, weights, thresholds, the scoring job, the monitoring, and the recalibration when it decays. - Build detection that fires early. A rule that catches 88% of the money on day 11 is worth far less than one that catches 60% at checkout, and you should be able to say why in dollars. - Work the two halves that actually matter together: linkage (who is connected to whom) and economics (what are they consuming). Either one alone produces a system nobody can switch on — linkage without economics flags families sharing a card, economics without linkage flags our best customers. - Treat cost as a gate, not a label. On an unlimited plan, being gross-margin negative is normal. Entity resolution & ring detection - Find rings, not just accounts: shared payment instruments, IP and ASN concentration, email-stem families, synchronised registration bursts, behavioural fingerprints, automation signatures. - Do it without a reliable device fingerprint — we do not have one today, and part of this job is telling us what it would be worth and what it would cost. - Know where graph methods break. Transitive closure through a shared card will happily merge thousands of unrelated people into one "ring"; we have done exactly that and thrown the result away. Enforcement, policy & the cost of being wrong - Design graduated, reversible actions — throttle, rate-limit, step-up verification, hold, pre-grant refusal, manual review queue, ban — and match the severity to the confidence. - Own the false-positive budget explicitly: how many paying customers are we willing to inconvenience to save a dollar of compute, and what is the appeal path for the ones we get wrong. - Build the pre-grant gates. The cheapest abuse to stop is the kind we decline to enable in the first place — a trial we do not grant costs nothing to claw back. - Partner with Payments on Stripe Radar, chargebacks and dispute economics; with Support on the queue your model creates; with Legal on what our Terms actually entitle us to do. Measurement & adversarial monitoring - Quantify what the system is worth in money — COGS avoided, net of the revenue you destroyed and the support cost you created. Keep that number current. - Run holdouts even on enforcement, wherever it is legal and safe to do so, because otherwise you will never know what your rules are worth. - Monitor for adaptation, not just drift. Model decay here is caused by an adversary, and it looks different: a signal stops firing, a ring changes shape, a cohort's behaviour shifts inside a week. - Watch your own inputs. A detection system that silently loses a feature degrades to a system that cannot reach its own threshold — and reports nothing wrong while doing it. Making it usable - Ship scores and reasons, never scores alone. An analyst, a support agent or an auditor must be able to read why an account was actioned. - Produce evidence that survives outside the company. Our abuse work has already been used in an external audit and in Terms-of-Use enforcement; write for that standard. - Work in SQL, Python and BigQuery on raw event, payment and generation data. We use AI heavily — resourcefulness beats syntax. WHO WE'RE LOOKING FOR - Experience building abuse, fraud or trust-and-safety detection that actually took action on real users — payments fraud, promo abuse, multi-accounting, bonus abuse, account takeover, marketplace or gaming abuse. Anti-money-laundering and credit-risk backgrounds transfer if the modelling was yours. - Genuine understanding of the adversarial setting: that your counterparty responds, that your training labels are generated by your own past decisions, and that offline AUC on a censored label set is close to meaningless. - Strong SQL and Python on raw event data without help: joins across payments, usage and identity, window functions, cohort replay. Gradient boosting, and the judgment to know when a two-condition rule beats a model. - Comfort with graph and linkage thinking — connected components, shared-attribute clustering, and an instinct for when a link is evidence and when it is coincidence. - Precision-first evaluation instincts: precision at the operating point, cost-weighted error, and why you would take 20% recall at 90% precision over the reverse in an enforcement system. - Unit-economics literacy: gross margin per account, what compute actually costs us, why a negative-margin customer may be entirely legitimate. - The judgment to escalate rather than act when the evidence is thin, and to say so in writing. - Clear written and spoken English, B2+. Backgrounds that often do well: - Fraud / risk data scientists from fintech, payments, marketplaces, gaming or crypto - Trust & safety and platform-integrity teams who owned detection and enforcement policy - Growth or product data scientists who ended up owning promo-abuse because nobody else would - Analysts from payment processors, PSPs or chargeback/dispute operations who moved into modelling WHAT THIS ROLE IS NOT This role is not a fit if you: - Want to build content-moderation or NSFW classification — that is a different function here - Would ship a ban list without knowing its precision - Optimize AUC on a label set your own enforcement created, and call it validated - Need a labelled fraud dataset to exist before you can start - Treat every negative-margin account as an abuser - Are uncomfortable that being right 90% of the time means being wrong about real, paying, legitimate people — and that you own what happens to them - Want predictable 9–5 workdays HIRING PROCESS - Screening call (30 min) - Hiring-manager screen (30 min) - Business case (1 hour) - Take-home with real-shaped data (7 days, ~10–12 hours of work) - Team interview (60 min) - Paid on-site trial (1 month) THE DEAL - Competitive salary in USD - Equity: participation in the company's stock option program - On-site role in Almaty, Kazakhstan - Relocation support (flight + temporary housing) - Flat structure, high autonomy, fast career growth

Задачи: — Управлять всей маркетинговой системой: реклама → сайт → конверсия → продажи → аналитика — Работать с Meta Ads, Google Ads, TikTok Ads, SEO, email-маркетингом (Klaviyo), PR, развивать органический трафик в социальных сетях и тестировать другие каналы привлечения и роста — Снижать стоимость привлечения клиента и находить новые точки роста — Анализировать воронку и повышать конверсию сайта — Формировать и тестировать гипотезы — Управлять внешними подрядчиками и агентствами Требования: — Опыт в e-commerce и с маркетинговым бюджетом от 50к$ — Реальные кейсы роста и масштабирования — Успешный опыт работы с американским рынком — Мыслит цифрами и понимает unit-экономику — Свободное владение английским — Руководил командой маркетинга 10+ человек Условия: — Удалённая работа с рынком США — Прямое взаимодействие с собственником — Возможность построить и возглавить маркетинг — Высокая степень свободы и влияния на решения — Быстрый профессиональный рост — Бонусы за результат, привязанные к эффективности маркетинга

Задачи: — Разработать CRM-стратегию для ключевых сегментов B2B- и B2C-аудитории. — Провести аудит текущих коммуникаций, данных, сегментов и клиентских сценариев. — Спроектировать триггерный онбординг и автоматические цепочки на разных этапах жизненного цикла. — Помогать B2B-клиентам осваивать возможности продукта, повышать adoption функций и находить новые сценарии использования YCLIENTS. — Развивать омниканальные коммуникации в email, Telegram, MAX, web- и mobile-интерфейсах. — Сегментировать аудиторию и подбирать для каждого сегмента релевантные сообщения, офферы, каналы и частоту контактов. — Формировать коммуникационную политику: приоритеты, контактные правила, частотные ограничения и логику пересечения кампаний. — Вместе с аналитиками оценивать влияние коммуникаций на activation, adoption, conversion, retention, churn и LTV. — Быстро запускать пилоты, проверять гипотезы и масштабировать работающие сценарии. — Совместно с продуктом, аналитикой и разработкой улучшать данные, события и инструменты, необходимые для персонализированных коммуникаций. Требования: — Опыт в CRM-, lifecycle- или retention-маркетинге от трёх лет. — Практический опыт работы с B2B SaaS, подписочными продуктами, trial-воронками или PLG/self-service-моделями. — Уверенное владение CRM- или marketing automation-платформами: Mindbox, Customer.io, Braze, Carrot quest, Encharge или аналогами. — Умение самостоятельно проектировать сегменты, триггеры, сценарии и логику автоматических цепочек. — Понимание продуктовых метрик: Activation Rate, Trial-to-Paid, Adoption, Retention, Churn, ARPU и LTV. — Опыт работы с Amplitude, Mixpanel, PostHog или другими системами продуктовой аналитики. — Понимание событийной модели данных: events, properties, user profiles, cohorts. — Умение оценивать влияние коммуникаций на продуктовое поведение и бизнес-результат. — Умение писать коротко, понятно и без корпоративного канцелярита. — Умение работать с дизайнером: формулировать идею, ставить задачу и оценивать, насколько креатив решает бизнес-задачу. — Готовность быстро прототипировать, проверять гипотезы и принимать решения на основании данных. — Опыт настройки Telegram-ботов, WhatsApp Business API и других мессенджерных каналов будет преимуществом. Условия: — Прозрачная и конкурентная зарплата, трудоустройство по ТК РФ. — Гибридный график работы. — Техника для работы. — ДМС после испытательного срока. — Поддержка в трудных ситуациях. — Корпоративные скидки BestBenefits. — Отсутствие дресс-кода и иерархий, доверительная атмосфера в команде.

Location: Tokyo, Japan About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Partners Solutions Architect on the Applied AI team at Anthropic, you will be a Pre-Sales architect focused on cultivating technical relationships with our Global and Regional System Integrators (GSIs/RSIs), and our cloud partners (AWS and GCP). You will strengthen our relationships with key partners to accelerate indirect revenue, enable their AI practices, and execute on long-term GTM strategy. Key Responsibilities Strategic Technical Partnership : Be a technical thought partner to the Anthropic GTM partnerships team, providing technical expertise to better understand the partner landscape, driving key strategic programs, and identifying opportunities to deepen partner technical capabilities. Embed with GSI and cloud partner technical teams to enable their AI practices, support troubleshooting, evangelize Anthropic in their developer communities, and serve as an escalation point for complex technical issues. Joint Solution Development: Collaborate with partners to identify high value industry-specific GenAI applications, develop joint solutions and codify reference architectures / best practices to accelerate time to deployment Customer Deal Support: Intervene directly to unblock strategic customer deals where partners are the primary delivery vehicle, providing deep technical expertise and solution architecture guidance. Partner Ecosystem & Events : Represent Anthropic at partner events such as GSI customer workshops, AWS summits, and industry conferences. Lead or support partner-specific developer events, hackathons, and technical enablement sessions, especially for technically native communities. Product Feedback: Validate and gather feedback on Anthropic's products and offerings, especially as they relate to partner use cases and deployment patterns, and deliver this feedback to relevant Anthropic teams to inform product roadmap and partner strategy. Preferred qualifications 5+ years of experience in technical customer-facing/partner-facing roles such as Solutions Architect, Sales Engineer, Partner Sales Engineer, Technical Account Manager Track record of successfully partnering with GSIs and/or cloud providers to solve complex technical challenges, from initial solution design through customer delivery Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more Strong presentation & technical communication skills with the ability to translate requirements between technical and business stakeholders Experience designing scalable cloud architectures and integrating with enterprise systems Familiarity with common LLM frameworks and tools or a background in machine learning or data science Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities A love of teaching, mentoring, and helping others succeed Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems Fluent in Japanese and English 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.

Задачи: — Писать посты и карусели. — Готовить Stories и сторителлинги. — Писать описания для Reels. — Формировать контент-план email-рассылок. — Писать письма. — Создавать тексты для воронок в боте. — Оформлять кейсы. — Обрабатывать отзывы. — Корректировать и проверять тексты лендингов. Требования: — Умение писать продающие тексты. — Понимание влияния контента на продажи. — Способность считывать и воспроизводить стиль эксперта. — Инициативность. — Соблюдение дедлайнов. — Грамотная письменная и устная речь. — Эмпатичность и корректная коммуникация. Условия: — Удалённая работа. — Частичная занятость 2–4 часа в день. — Стабильная оплата, сумма определяется по итогам собеседования. — После анкеты предусмотрено тестовое задание.

Location: New York; San Francisco Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW We're hiring a Social Content and Community Manager to shape how Harvey shows up in the feed and in the conversations that happen around it. You'll turn launches, product news, and company thinking into sharp, native content across our owned channels and our employees' channels. When we amplify a moment, it should land everywhere our people and audiences are. You'll also own Harvey's social communities day to day. That means managing DMs, comments, and mentions; moderating and growing our community spaces; sending questions and opportunities to the right teams; and starting conversations that draw people toward Harvey. This role combines craft and community. It's for someone who writes fast and well, runs engaged communities with care and good judgment, and understands that on social, the caption, the reply, and the timing are the work. WHAT YOU'LL DO - Write scroll-stopping copy for Harvey's owned channels (LinkedIn, Instagram, X, and emerging platforms), tuned to what performs on each. - Write copy for employee and advocacy channels to power company amplification. Give the team ready-to-post language that makes company moments land while keeping a consistent Harvey point of view. - Turn a single launch or announcement into a set of channel-native posts, threads, and replies that work together across audiences. - Work closely with the Social Manager to plan, draft, and deliver social creative and campaign content. - Keep a steady content calendar that balances planned campaigns with timely, real-time posts. COMMUNITY MANAGEMENT - Own the social inbox: monitor and respond to DMs, comments, and mentions across Harvey's channels quickly, warmly, and with good judgment. - Build and maintain response guidelines, tone standards, and saved replies for common questions so Harvey's voice stays consistent at scale. - Set up and run triage and escalation paths. Route customer support issues, sales inquiries, press requests, partnership opportunities, and sensitive or legal matters to the right internal teams, and close the loop. - Moderate Harvey's social communities and comment sections. Enforce community guidelines and deal with spam, trolling, and negative sentiment calmly and consistently. - Proactively join relevant conversations across the legal, legal tech, and AI communities to build relationships, raise Harvey's profile, and spot opportunities. - Find, engage, and grow a network of customers, advocates, and creators. Highlight their stories and user-generated content where appropriate and approved. - Run social listening to track brand mentions, sentiment, competitor activity, and emerging trends, and share key insights with Marketing, Product, Comms, and Customer Success. - Act as the first line of defense on social for brand safety. Flag potential issues early and help carry out response plans during sensitive or fast-moving moments. MEASUREMENT AND OPTIMIZATION - Track and report on content performance and community health, including engagement, response times, sentiment, follower growth, and conversation volume. - Use performance and engagement data to sharpen content, hooks, and response approach over time. - Share recurring themes from the community, such as questions, feedback, and pain points, to inform content strategy, product messaging, and FAQs. WHAT YOU HAVE - 3+ years in social content, community management, or a similar role, ideally at a high-growth tech, AI, or legal-focused company, or in a fast-moving brand or agency environment. - Exceptional short-form writing and editorial judgment, with a portfolio of content and community engagement that earned attention. - Hands-on experience managing a brand's social inbox and online communities, including moderation, escalation, and response workflows. - A real feel for internet culture, online communities, and what makes content and conversations travel. - Range as a voice chameleon: you can write as the brand and for employees without losing the through-line. - Comfort living in the replies and handling DMs, comments, and mentions with speed, warmth, and good judgment, including difficult or sensitive exchanges. - Sound judgment about confidentiality, customer privacy, and when to escalate rather than respond. - Ability to move quickly on real-time moments while keeping quality and brand safety high. - Strong organization and follow-through. You can manage a high volume of conversations and requests without dropping threads. - Experience with social management, scheduling, and listening tools (e.g., Sprout Social, Hootsuite, Brandwatch, or similar). - Comfort using analytics and engagement data to decide what you write and how you engage next. - A collaborative approach and experience working across Marketing, Comms, Customer Success, Sales, and Legal. NICE TO HAVE - Experience in legal tech, enterprise SaaS, or similar B2B spaces. - Background in copywriting, journalism, or editorial. - Experience running an engaged personal or brand account. - Experience building or managing a professional community, advocacy program, or creator/ambassador program. - Experience supporting crisis or issues management on social. - Interest in AI and responsible communication. COMPENSATION $112,000 - $154,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-LR1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: United States About Toloka At Toloka AI we create data that powers leading GenAI models and innovations. We work with frontier labs, big tech, renowned AI startups, enterprises and non-profit research organizations worldwide. We use a combination of Experts + Crowd + Tech Platform to teach AI models to reason and evaluate their efficacy and safety. We have experts in more than 50 different domains—from doctors and lawyers to physicists and engineers—and boast one of the most diverse global crowds, representing ove r 100 countries and speaking 40+ languages. We are a well-funded startup with an enviable portfolio of clients including Anthropic, Amazon, Microsoft, Poolside, Recraft, and Shopify. Recently, we secured strategic investment led by Bezos Expeditions and Nebius Group with participation from Mikhail Parakhin, CTO of Shopify and board advisor to leading GenAI companies, who now serves as our Chairman of the Board. Our remote-first team is globally distributed around the world : USA, UK, the Netherlands, Serbia , and more. Role Description We are seeking an exceptional Program Director to own and scale the execution of Enterprise fine-tuning projects across a major client portfolio. This role focuses on operational excellence and flawless delivery, working in close partnership with business development, product, and engineering teams to drive revenue growth through exceptional client outcomes. As Program Director, you will own the process management and client engagement behind these projects. You will work directly with enterprise engineering, platform, and product teams to turn a business problem into a scoped, delivered fine-tuning engagement. This is a senior, hands-on role: you will run the work yourself, not just oversee it. You will combine consulting-grade program management with a working understanding of how fine-tuning projects run, and experience navigating enterprise procurement and IT. What you’ll do Be the senior enterprise engagement lead. Run discovery with the client: stakeholder interviews, use-case prioritisation, business case and ROI, then scope and deliver the engagement end to end, including model hosting, SLAs and security reviews. Improve GenAI systems already in production, particularly across quality, cost, or latency. Take ownership of active client projects, managing scope, timelines, and stakeholders. Navigate enterprise procurement, IT infrastructure, and security processes on the client side. Our clients are tech-forward enterprises. Your counterparts are CTOs and platform, infrastructure and ML engineering leads, not procurement desks alone. Translate between client product and engineering buyers and our internal data and machine learning teams. Partner with the sales team on opportunities and help shape offerings as the business grows. Build repeatable processes and playbooks so the practice can scale across new clients and industries. Required Skills and Experience Strong consulting experience with a record of hands-on client delivery. Working technical fluency in LLMs and fine-tuning. You will partner closely with our ML engineers; you don't need to be one, and this is not a coding role. Product and process management skills, with the ability to structure ambiguous problems and drive them to completion. Experience working with large enterprises, including their procurement processes and IT infrastructure. Excellent communication skills with technical and non-technical stakeholders, including senior client leadership. STEM background preferred. Why This Role Fine-tuning needs three things: compute, which is commoditised; ML engineers, of whom there are more every year; and high-quality data, which is what actually limits model quality. Toloka produces that data, which puts us in a position which pure fine-tuning shops are not. You would join on the ground floor of this practice and help build it, including the forward-deployed team as it grows. What we can offer You will be part of an international, dynamic environment that drives innovation and sets new standards in the AI and technology sector. Competitive compensation package including base salary, bonus, and ESOP. Paid PTO and benefits will vary depending on location. We offer a full remote or hybrid model (if you are based in NL or Serbia). IT setup and home office allowances. Equal Opportunity Employer: Toloka is committed to providing equal opportunity and fostering an inclusive environment. We welcome applications from all qualified individuals and do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, gender identity, age, marital status, veteran status, disability, or any other characteristic protected by applicable law. Selection decisions are made based on qualifications, merit, and business need. [Important Notice] Scam Alert Regarding Fake Job Postings It has come to our attention that an individual or group is fraudulently impersonating Toloka to post fake jobs and solicit personal information from applicants. Please be aware: Official Communication: Our recruiting team will only contact you from an official " toloka.ai " email address. We will NEVER use Gmail, Yahoo, Tolokainc, toloka.inc, or other personal or seemingly business email accounts. Our Process: We will never ask for your bank account details, credit card number, or any fees as part of the application or interview process. Official Listings: All legitimate job openings are posted on our official careers page: https://toloka.ai/careers#job-list What to do: If you see a suspicious job posting or have been contacted by someone you suspect is a scammer, please do not provide any personal information. Instead, report the incident to us directly at security@toloka.ai and report the profile/post to LinkedIn. We are taking this matter very seriously and are working with the appropriate parties to resolve it. Thank you for your vigilance! To learn how we collect, use, disclose, and store personal data, check out our Privacy Notice .

Location: European Union About Toloka At Toloka AI we create data that powers leading GenAI models and innovations. We work with frontier labs, big tech, renowned AI startups, enterprises and non-profit research organizations worldwide. We use a combination of Experts + Crowd + Tech Platform to teach AI models to reason and evaluate their efficacy and safety. We have experts in more than 50 different domains—from doctors and lawyers to physicists and engineers—and boast one of the most diverse global crowds, representing ove r 100 countries and speaking 40+ languages. We are a well-funded startup with an enviable portfolio of clients including Anthropic, Amazon, Microsoft, Poolside, Recraft, and Shopify. Recently, we secured strategic investment led by Bezos Expeditions and Nebius Group with participation from Mikhail Parakhin, CTO of Shopify and board advisor to leading GenAI companies, who now serves as our Chairman of the Board. Our remote-first team is globally distributed around the world : USA, UK, the Netherlands, Serbia , and more. Role Description We are seeking an exceptional Program Director to own and scale the execution of Enterprise fine-tuning projects across a major client portfolio. This role focuses on operational excellence and flawless delivery, working in close partnership with business development, product, and engineering teams to drive revenue growth through exceptional client outcomes. As Program Director, you will own the process management and client engagement behind these projects. You will work directly with enterprise engineering, platform, and product teams to turn a business problem into a scoped, delivered fine-tuning engagement. This is a senior, hands-on role: you will run the work yourself, not just oversee it. You will combine consulting-grade program management with a working understanding of how fine-tuning projects run, and experience navigating enterprise procurement and IT. What you’ll do Be the senior enterprise engagement lead. Run discovery with the client: stakeholder interviews, use-case prioritisation, business case and ROI, then scope and deliver the engagement end to end, including model hosting, SLAs and security reviews. Improve GenAI systems already in production, particularly across quality, cost, or latency. Take ownership of active client projects, managing scope, timelines, and stakeholders. Navigate enterprise procurement, IT infrastructure, and security processes on the client side. Our clients are tech-forward enterprises. Your counterparts are CTOs and platform, infrastructure and ML engineering leads, not procurement desks alone. Translate between client product and engineering buyers and our internal data and machine learning teams. Partner with the sales team on opportunities and help shape offerings as the business grows. Build repeatable processes and playbooks so the practice can scale across new clients and industries. Required Skills and Experience Strong consulting experience with a record of hands-on client delivery. Working technical fluency in LLMs and fine-tuning. You will partner closely with our ML engineers; you don't need to be one, and this is not a coding role. Product and process management skills, with the ability to structure ambiguous problems and drive them to completion. Experience working with large enterprises, including their procurement processes and IT infrastructure. Excellent communication skills with technical and non-technical stakeholders, including senior client leadership. STEM background preferred. Why This Role Fine-tuning needs three things: compute, which is commoditised; ML engineers, of whom there are more every year; and high-quality data, which is what actually limits model quality. Toloka produces that data, which puts us in a position which pure fine-tuning shops are not. You would join on the ground floor of this practice and help build it, including the forward-deployed team as it grows. What we can offer You will be part of an international, dynamic environment that drives innovation and sets new standards in the AI and technology sector. Competitive compensation package including base salary, bonus, and ESOP. Paid PTO and benefits will vary depending on location. We offer a full remote or hybrid model (if you are based in NL or Serbia). IT setup and home office allowances. Equal Opportunity Employer: Toloka is committed to providing equal opportunity and fostering an inclusive environment. We welcome applications from all qualified individuals and do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, gender identity, age, marital status, veteran status, disability, or any other characteristic protected by applicable law. Selection decisions are made based on qualifications, merit, and business need. [Important Notice] Scam Alert Regarding Fake Job Postings It has come to our attention that an individual or group is fraudulently impersonating Toloka to post fake jobs and solicit personal information from applicants. Please be aware: Official Communication: Our recruiting team will only contact you from an official " toloka.ai " email address. We will NEVER use Gmail, Yahoo, Tolokainc, toloka.inc, or other personal or seemingly business email accounts. Our Process: We will never ask for your bank account details, credit card number, or any fees as part of the application or interview process. Official Listings: All legitimate job openings are posted on our official careers page: https://toloka.ai/careers#job-list What to do: If you see a suspicious job posting or have been contacted by someone you suspect is a scammer, please do not provide any personal information. Instead, report the incident to us directly at security@toloka.ai and report the profile/post to LinkedIn. We are taking this matter very seriously and are working with the appropriate parties to resolve it. Thank you for your vigilance! To learn how we collect, use, disclose, and store personal data, check out our Privacy Notice .

Задачи: — Писать посты и карусели. — Готовить Stories и сторителлинги. — Писать описания для Reels. — Формировать контент-план email-рассылок. — Писать письма. — Создавать тексты для воронок в боте. — Оформлять кейсы. — Обрабатывать отзывы. — Корректировать и проверять тексты лендингов. Требования: — Умение писать продающие тексты. — Понимание влияния контента на продажи. — Способность считывать и воспроизводить стиль эксперта. — Инициативность. — Соблюдение дедлайнов. — Грамотная письменная и устная речь. — Эмпатичность и корректная коммуникация. Условия: — Удалённая работа. — Частичная занятость 2–4 часа в день. — Стабильная оплата, сумма определяется по итогам собеседования. — После анкеты предусмотрено тестовое задание.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is looking for a Customer Marketing Manager to make sure our most important messages are backed by customers who can speak to them. This role works across regions and customer segments on special projects tied to the company's top priorities. When we launch a new model, feature, or initiative, you'll find the customers who can speak to it and get them on the record. We're looking for an excellent communicator who can turn customer stories into multiple formats that flex across channels. This often means working under compressed timelines and leading customer storytelling on some of the most important projects at Anthropic. You'll work closely with Product Marketing, Sales, Brand, Comms, Customer Marketing segment leads, and the writers on our team. The right person has done both product marketing and customer marketing, and has a reporter's nose for a good story. Key responsibilities Own the customer evidence strategy for the company's top priorities, deciding which claims need customer proof, which customers are best placed to back them up, and where we have gaps to close Bring what customers are telling us back to Product Marketing and Sales, so our messaging reflects what lands with buyers Stand up new programs as company priorities shift, setting the scope, the customer list, and the plan to ship quickly Lead the customer plan for major model and product launches, from which customers we engage with to how their voices show up in the announcement Partner with Brand and Creative on which customer stories anchor our campaigns and how we tell them Build proof point libraries and enablement around our key messages, so account teams know which story to use and when Shape the customer narrative our executives use in keynotes, posts, and customer conversations Prioritize customer asks when several teams want to tap the same customer, and work with Comms, Legal, and customer executives to get high-profile stories approved Minimum qualifications Can read a messaging doc and quickly spot what customer proof it needs and where the gaps are Are a strong writer and interviewer who can get a customer to say something specific and true, then turn it into a story people want to read Have supported product launches and campaigns with customer proof, often on tight timelines Have built sales enablement that sales teams kept using after launch week Are comfortable with technical products and can explain/write what a customer built, and why it matters, in plain language Know how to work across a lot of teams without formal authority, and can say “not yet” when a request doesn't fit the plan Have good judgment about when a story is ready and when it needs more work Enjoy moving between very different projects, sometimes in the same week Already use Claude to help with drafts and interview prep Preferred qualifications Have 7+ years in B2B marketing, with time in both product marketing and customer marketing Worked in AI or developer tools A background in journalism or editorial A background in Product Marketing or Messaging Written keynotes or LinkedIn posts for executives Run message testing or win/loss interviews to learn what buyers respond to Worked with Comms or analyst relations on announcements that featured customers The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $255,000 — $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: United States Workplace: Remote At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 We're looking for a Senior Technical Account Manager - Customer Success to act as a strategic partner and trusted advisor to our customers, blending strong relationship management with a deep understanding of ClickUp’s platform and capabilities. This role sits at the intersection of customer success, solution strategy, and technical enablement, supporting long-term growth, adoption, and measurable business outcomes.   Senior Technical Account Manager - Customer Success at ClickUp lead with a customer-first mindset, developing success plans, guiding onboarding and adoption, and ensuring stakeholders see continuous value throughout their lifecycle. While you’ll support technical initiatives like process optimization, workflow design, and AI enablement, you’ll also own the overall health, engagement, and strategic direction of your accounts. You’ll work cross-functionally with Sales, Product, and Support to align efforts and ensure each customer’s success story is long-term, scalable, and impactful.   Senior Technical Account Manager - Customer Success at ClickUp are responsible for delivering measurable value and driving meaningful business outcomes across their customer portfolio by focusing on: - Customer Enablement & Onboarding: Guiding new teams through implementation, onboarding, and training to ensure a smooth start and foundational success. - Account Health & Engagement: Proactively managing user adoption, stakeholder alignment, and account health to promote long-term success, retention, and growth opportunities. - Process Optimization & Solution Design: Collaborating with customers to identify critical business processes, map them to scalable solutions, and drive efficiency through ongoing refinement and performance insights. - Innovation Adoption & Workflow Automation: Empowering customers to leverage emerging features and technologies, including AI and automation, to enhance productivity, streamline operations, and deliver real-world impact. CORE RESPONSIBILITIES Senior Technical Account Manager - Customer Success at ClickUp act as the strategic and technical owner of the customer relationship, ensuring every customer achieves measurable success through ClickUp product and AI feature set.   - New Customer Onboarding - Lead or support the end-to-end onboarding and implementation of ClickUp, from discovery and solution design to training and go-live support. - Translate functional and technical requirements into scalable ClickUp solutions, including workflows, templates, hierarchies, and automations. - Guide customers through foundational setup, integration, and enablement, while promoting best-practices and system governance and change management. - Account Health Management - Monitor seat utilization, adoption trends, and Champion/Stakeholder engagement. - Build and execute adoption plans and account reviews to maintain or improve health. - Identify risks early and build recovery plans in partnership with the account team. - Deliver ongoing change management and enablement, ensuring customers continue to evolve and mature with the platform. - Workflow Mapping (IER Framework) - Conduct Intake → Execution → Reporting (IER) cycles for key workflows. - Lead discovery sessions to map current-state vs. future-state processes. - Recommend optimizations and create workflow templates to scale across teams. - AI Enablement & Agent Deployment - Drive adoption of ClickUp AI and build custom workflow Agents tied to customer use cases. - Partner with customers to define and deliver new AI automations that align with business KPIs. - Provide technical training and consultation on AI and automation best practices, including prompt design, agent architecture, and scaling use cases across teams. - Track and report AI usage and credit consumption against plan. - Customer Success & Expansion - Serve as the technical partner to assigned accounts, connecting adoption to business value. - Generate qualified leads through data-driven insights and AI usage analysis. - Drive cross-functional alignment to position renewals, expansions, and AI upsells. - Cross-Functional Collaboration - Act as the voice of the customer, translating business objectives and pain points into actionable insights for Product, Engineering, and Support. - Partner with account teams to maintain alignment between delivery and success.   CORE SKILLS & COMPETENCIES - Technical Acumen: Deep understanding of ClickUp platform capabilities, automation logic, integrations, and AI Agent functionality. Able to translate business needs into technical solutions. - AI Expertise: Familiar with generative AI concepts, prompt design, and automation frameworks. Skilled at identifying and scoping AI use cases and consumption plans. - Consultative Discovery: Exceptional at workflow analysis, process design, and identifying friction points. Uses structured discovery to map customer needs into ClickUp. - Project and Program Management: Ability to manage complex customer programs with multiple stakeholders, deadlines, and outcomes. Skilled at running structured account plans. - Data and Reporting: Comfortable using dashboards and metrics to communicate health, adoption, and ROI. Interprets usage data to drive recommendations. - Customer Engagement: Executive presence and strong communication skills. Builds trust at both ATL and BTL levels through credibility and clarity. - Account Ownership: Full accountability for assigned book of business: proactive, organized, and driven to achieve measurable outcomes. - Collaboration and Influence: Works cross-functionally with account team, Product, and Sales to align on outcomes. Influences without authority through insight and results. #LI-NMR #LI-Remote Equal Opportunity Employer ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin. Privacy Notice ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. https://clickup.com/careers-terms/candidate-privacy-notice If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice https://t333.s.clickup-attachments-stg.com/t333/d9a53ce2-6d2c-48cd-84b1-ed4e525f9613/Philippine%20Data%20Privacy%20Notice_2024.pdf?view=open for further details. Visa Sponsorship Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions. Fraud Alert ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com. AI Processing Notice ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.

Tickmill is looking to hire a Business Development Manager who will support the Company in expanding its business operations for multi-asset products in the Turkey region. This role involves prospecting, pitching, negotiating, and managing the onboarding of new affiliates, ensuring they are successfully integrated into the company’s partnership structure. About Tickmill Tickmill is an award-winning, multi-regulated broker offering a wide range of asset classes including CFDs on Forex, Stocks, Indices, Commodities, Cryptocurrencies, and Bonds, as well as Exchange Traded Derivatives (Futures & Options). The Tickmill Group was established in 2014 and employs over 280 professionals across offices in London, Cyprus, Estonia, South Africa, and several other regional offices globally. Our philosophy is based on trust, transparency, and diversity, reflected in both our workplace culture and outstanding customer support. Our employees, a multilingual team of highly skilled professionals from around the world, are the backbone of the company. Their dedication enables us to remain among the best in the industry. Tickmill offers a competitive benefits package, team-building events, and strong opportunities for professional growth. What the role looks like? As a Business Development Manager, you will play a key role in expanding the company’s international partnerships and strengthening its presence across Turkish‑speaking and regional markets. This position focuses on strategic relationship development, B2B partnerships, and commercial growth in international environments. You will have the opportunity to: Develop and execute strategic outreach initiatives via direct communication, LinkedIn, email, and industry events to engage prospective partners globally. Build, manage, and optimize a structured partnership pipeline, ensuring timely follow-ups and conversion of qualified leads into long-term business relationships. Develop and maintain a network of partners, including regional representatives, affiliates, and institutional counterparties, in jurisdictions where the company operates in accordance with applicable regulations. Establish and maintain relationships with high-value partners and stakeholders at an international level. Present the company’s value proposition to prospective partners, negotiate commercial terms, and manage the full lifecycle of partnership development. Oversee onboarding processes for new partners, including agreement coordination and alignment with internal teams. Collaborate closely with internal departments to ensure smooth partner integration and ongoing relationship management. Monitor market developments, competitor activity, and industry trends to identify new partnership opportunities. Track and report KPIs such as partner acquisition, engagement metrics, and overall partnership performance. What you will need: Minimum 3 years of experience in Sales, Business Development, or Partnerships within financial services or a related industry. Strong understanding of partnership models, B2B acquisition channels, and commercial relationship management. Proven ability to develop and close partnership deals in fast-paced, competitive environments. Excellent analytical, organizational, and negotiation skills. Fluency in Turkish and English (written and spoken). University degree. Experience working with CRM tools (e.g., HubSpot, Salesforce) for pipeline and performance management. Ability to identify and pursue new business opportunities aligned with the company’s international growth strategy. Willingness to travel and attend industry events when required. By joining us, you can expect: A unique opportunity to build a career in a global, fast-growing company. Opportunities to learn and grow through our Employee Training & Development Program. Birthday and Loyalty benefits. Make your next Career step and apply NOW! * Due to the great number of applications, we receive for each of our open vacancies, we are unable to respond on an individual basis.

Location: Kazakhstan; Armenia We are looking for a skilled Accountant to support our transition to a new ERP system. This is a fixed-term, 1 year project-based position focused on ensuring a smooth migration of our financial processes and data, and driving improvements in automation and reporting. You will play a key role in reconciling data, managing system integration tasks, and collaborating closely with both internal stakeholders and the ERP implementation team. Please note: this is not a part-time position - we are looking for a candidate to fully focus on this role. Job responsibilities 1. Handling settlements with suppliers (hoteliers): Operating in 1C:8.3 (Accounting) and, later, in ERP: Reconciliation of revenue and payments Adjusting documents and outstanding balances Creating additional invoices/requests for payment Updating invoice/payment statuses Verifying accuracy of supplier settlements in ERP Other accounting tasks in 1C Using Google Sheets: Collecting and preparing data for payments Maintaining tables with settlement details and hoteliers’ banking information Working within internal Extranet and CRM systems 2. Working with virtual credit cards: Reconciling issued cards Issuing and deleting cards as needed Keeping a registry of active cards 3. Communicating with colleagues: Handling requests from hoteliers in chat and by email Making adjustments Providing required documents/information Processing payments and related requests 4. Additional tasks assigned by the manager. Requirements Higher education in Economics or Finance 2+ years of experience as an Accountant or Junior Accountant Advanced user of Excel English language proficiency at B2 level or higher; Russian – C1 Knowledge of 1C/ERP finance programы Benefits Flexible schedules and opportunity to work remotely; Ambitious and supportive team who love what they do, appreciate each other, and grow together; Internal programs for adaptation and training, development of soft skills, and leadership abilities; Partial compensation for participating in external training and conferences; Corporate English school: Group and individual lessons, speaking clubs with colleagues from all over the world; Corporate prices on hotels and travel services; MyTime Day Off - an extra non-working day without loss of compensation. Learn more about our data protection practices in our Privacy Policy: link

Задачи: — Участие в разработке медиа планов под каждый ЖК компании, контроль своевременного старта размещения — Подготовка регулярных отчетов по итогам размещения с оценкой эффективности — Контроль актуальности информации на лендингах ЖК, ведение основного сайта компании на уровне CMS (Tilda, IDA) — Участие в настройке сквозной аналитики на базе платформы Smartis, работа с AMO CRM и Яндекс.Метрикой — Настройка триггерных рассылок и цепочек коммуникаций (email, мессенджеры) для доведения клиента до сделки — Управление IP-телефонией и коллтрекингом (Calltouch, Mango Office), создание и оптимизация сценариев IVR, настройка «карусели», администрирование автообзвонов — Работа с подрядчиками, агентствами и веб-студиями, контроль ведения документооборота — Мониторинг рынка, конкурентов и трендов в digital-среде Требования: — Опыт в digital-маркетинге от года, опыт в сегменте жилой недвижимости будет преимуществом (девелоперские компании, агентства недвижимости) — Опыт управления рекламными кампаниями, включая самостоятельное ведение (Яндекс.Директ, VK/MyTarget) — Базовое понимание performance-инструментов, агрегаторов недвижимости, охватных digital-инструментов и моделей закупки рекламного инвентаря — Опыт работы с аналитическими системами, системами сквозной аналитики и кол трекинга обязателен (Метрика, GA, GTM, Calltouch, Comagic, Smartis) — Опыт работы с CSM сайта на базе Tilda, IDA — Креативность, самостоятельность, умение работать в команде — Грамотная устная и письменная речь Условия: — Официальное трудоустройство, стабильная "белая" зарплата — График 5/2, рабочий день с 10:00 до 19:00 — Офис м. Шаболовская, 5 минут от метро — Работа в команде профессионалов, возможность профессионального роста — Участие в масштабных проектах федерального уровня

Задачи: — Оперативно обрабатывать входящие заявки с email, сайта и телефонных звонков; — Подбирать по заявкам товар из каталогов, опираясь на складские остатки; — Сопровождать клиента на всех этапах от заявки до поставки; — Заполнять регулярную отчетность в конце дня и месяца. Требования: — Опыт работы в продажах и CRM; — Желание стабильности; — Опыт продаж промышленного оборудования, кабеля, стройматериалов, сантехники будет преимуществом, но не обязателен; — Высшее или средне-специальное образование в промышленности или торговле; — Грамотная речь и владение этикой делового общения; — Внимательность и аккуратность при работе с документацией; — Дисциплинированность; — Уверенное владение ПК и облачными сервисами; — Желание работать и зарабатывать. Условия: — Только входящие заявки 100-200 в месяц; — Без холодных звонков и поиска клиентов; — Понятный продукт (автоматические выключатели); — Быстрые сделки от заявки до оплаты (1-3 дня); — Оклад 60 000 рублей; — Премия за выполненные показатели KPI (количество обработанных заявок и отгрузок); — Средний доход на второй месяц работы 70 000 - 85 000 рублей на руки; — Карьерный рост через 6 месяцев в группу повторных продаж со средней зарплатой 95 000 - 110 000 рублей на руки; — Обучение по продукту, рынку и стандартам работы за 3-5 дней; — Удобные инструменты: amoCRM, DatLens; — Комфортный офис в районе Москва Сити, в 5 минутах от метро "Шелепиха" и МЦД "Москва Сити"; — График работы: понедельник-пятница с 09:00 до 18:00; — Оформление в штат компании с первого рабочего дня по ТК РФ.

Location: Remote - Australia; Remote - Japan Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Director, Supplier Relations APAC About the job Twilio is seeking an experienced Director, Supplier Relations to execute our supply strategy, manage regional vendor and carrier partnerships, and lead a team of supplier relations specialists across Asia-Pacific (APAC). In this role, you will translate regional connectivity strategy into operational execution, optimizing COGS, route quality, and direct supplier partnerships. Working closely with cross-functional partners in Sales, Product, Legal, and Operations, you will ensure Twilio's infrastructure reliably aligns with rapid enterprise growth across diverse APAC markets. Responsibilities Team Leadership & Development: Direct, mentor, and manage a team of supplier relations specialists and analysts, fostering operational excellence and regional alignment across APAC. Supplier Procurement & Negotiations: Lead commercial negotiations with regional telecommunications carriers, messaging aggregators, and OTT suppliers to secure competitive unit economics (COGS) and expand direct connectivity. GTM & Product Alignment: Partner with APAC Sales and Product teams to analyze market demand, forecast capacity needs, and support localized go-to-market strategies for key growth countries. Route Quality & Analytics: Continuously monitor supplier performance, route latency, delivery success rates, and margins, using data-driven insights to optimize traffic allocation. Regulatory & Compliance Execution: Operationalize regional telecommunications mandates, local sender ID registries, and anti-spam regulations across APAC markets in coordination with Legal and Regulatory teams. Operational Escalations: Serve as the primary escalation point for supplier SLA breaches, network disruptions, and service degradations to maintain high platform uptime. Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! *Required: Minimum of 7 years in the telecommunications or CPaaS industry, with at least 3 years in a leadership or senior supplier/carrier management role. Deep understanding of APAC telecommunications ecosystems, messaging aggregators, and regional market dynamics. Proven track record of negotiating commercial supplier agreements and driving unit economics (COGS) optimization. Experience collaborating with Sales, Product, and Operations to translate revenue demand into supplier capacity. Strong analytical skills with experience leveraging performance metrics and data tools for route optimization. Desired: Professional fluency in English and an additional APAC language (e.g., Japanese, Mandarin, or Bahasa). Bachelor's degree in Telecommunications, Business, or a related field. Technical understanding of core communications protocols and standards (e.g., SMPP, SIP, REST APIs, A2P/P2P messaging). Location This role will be remote based in key APAC locations (Australia or Japan). Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, approximately 20% to 25% regional travel anticipated for supplier engagements and internal team alignment. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic . Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. . Stay alert to recruitment fraud We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @ twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps. . Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.