Вакансии

— разрабатывать контент-планы и стратегию продвижения; — анализировать нишу, конкурентов и целевую аудиторию;

Задачи: вести Telegram и Дзен, писать посты, следить за вовлечённостью, готовить рубрики. Требования: опыт от года, умение писать простым языком о сложном, базовое понимание аналитики.

Wellness-бренд LNG365 ищет специалиста для TikTok и Instagram на американскую аудиторию: стратегия, тренды США, контент с виртуальными персонажами, ТЗ AI-креатору и аналитика.

— разрабатывать стратегию развития TikTok и Instagram; — придумывать контент с оригинальными виртуальными персонажами;

Смм, который умеет составлять и контролировать контент-план, собирать и постить посты.

— вести Instagram: Reels, сторис, публикации; — вести Telegram-канал: посты и выкладка;

Act as a trusted/strategic advisor for customers, driving the entire Customer Success lifecycle from onboarding to expansion. Become the trusted Cribl product expert as customers build out observability pipelines to transform data in their organization.

Location: Remote Workplace: Remote 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 Harvey ships product every week, and every release changes what our customers, our support specialists, and our AI Support agent need to know. Today that knowledge lives across fragmented surfaces, and the gap between what's shipped and what's documented shows up directly in ticket volume, resolution time, and the quality of answers customers get. The CX Knowledge Specialist owns the source of truth: the articles, troubleshooting guides, and product knowledge that specialists and our AI Support agent answer from. You'll consolidate that knowledge into one well-structured foundation built for both people and AI, keep it accurate as the product moves, and use ticket, search, and agent data to decide what to fix next. You'll work alongside our Enablement Specialists, who turn that knowledge into training and get the team ready for each launch. This is a hands-on role for a strong writer and systems thinker who wants to build the knowledge layer an AI-first support organization runs on.   WHAT YOU’LL DO - Audit today's fragmented content surfaces: inventory and tag what exists, flag what's duplicate or stale, and migrate it into one knowledge foundation. - Own the knowledge base: product support articles, troubleshooting guides, how-tos, and product best practices that specialists and the AI Support agent rely on. - Structure knowledge for both humans and AI. Apply taxonomy, metadata, and templates consistently, and write articles that retrieve and chunk cleanly for the AI Support agent as well as for specialists. - Keep knowledge current through every release. Track what Product ships, and update or create the affected articles before launch so they're ready for the Enablement Specialists' training and for the AI Support agent. - Close knowledge gaps at the source by owning the feedback loop. Triage reports of inaccurate, missing, or buried content from downstream teams, then update the source material. - Mine ticket signals, search logs, and agent escalations to find missing content, stale articles, and areas with high deflection potential, then prioritize fixes. - Build AI-assisted workflows for drafting, refreshing, and detecting stale content (prompts, automations, review queues) so knowledge scales without adding headcount. - Run review cycles, ownership assignments, versioning, and archiving so content stays accurate as the product changes weekly. - Serve as the day-to-day contact for SMEs in Product, Engineering, AI Support, and GTM Enablement to get content reviewed, validated, and adopted.   WHAT YOU HAVE - 5+ years of experience in knowledge management, support operations, technical writing, or content operations. - Hands-on experience with knowledge base platforms (Zendesk, Notion, or similar), including structuring, migrating, and maintaining content at scale. - Comfortable using LLMs in your daily workflow, and able to speak concretely to how you've used them to write, maintain, or improve content. - A systems thinker who likes structure, and a strong writer who can turn complex technical or legal-product details into clear, retrievable content. - Comfortable operating at Harvey's pace, where the product changes weekly and content needs to keep up without waiting for a perfect process. - Uses data (ticket trends, search behavior, QA findings) to decide what to write or fix next, rather than working from a static backlog. - Builds strong working relationships with cross-functional SMEs quickly, and can get content reviewed and adopted without direct authority.   COMPENSATION $88,000 - $132,000 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-CG1     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: London Workplace: onsite THE OPPORTUNITY We are building Watcher, a coding agent security product. Watcher is deployed in production and monitors billions of agent tokens per month across engineering teams at agent-building scale-ups and multinational enterprises. We are looking for our first Go-To-Market Associate to build Watcher's pipeline engine and bring a qualified pipeline to the Founding Account Executive.  Think of the role as a BDR / GTM engineer hybrid. Half the work is finding and reaching the right people inside the right companies. The other half is building the systems that make that repeatable: signal detection, enrichment, sequencing, reporting. A good chunk of this job should be automating the previous version of this job. There is no marketing function for Watcher today. Until there is, you own the parts of marketing that produce the pipeline: events, target personas, and getting our research in front of the people who should read it. Our ideal customer profile and target market are set together with product and the GTM lead. Within those accounts, you decide who we reach, how we reach them, and which experiments we run to find out which segments are real. You will work directly with our GTM lead. As we grow, this role can develop toward owning deals as an account executive, GTM engineering and operations, or partnerships, depending on where your strengths are. KEY RESPONSIBILITIES Build the pipeline engine Work out which companies are deploying coding agents at scale, who inside them feels the problem, and which of them we should spend time on. Research accounts and people. Work out whether we have something useful for this person and what it is. Personalize the outreach. Short, specific, honest messages that a busy security engineer will reply to. Run outbound as a set of experiments rather than a volume target: test segments, messages, and channels against each other, read the results honestly, and kill what is not working. Hand qualified conversations to the AE and GTM lead with the context they need to run them well. Pipeline operations and tooling Turn repeated manual work into tooling: signal detection for who has started deployment agents, enrichment, sequencing, CRM automation, and the reporting that shows what top of funnel is actually producing. Maintain best-in-class CRM hygiene: accurate notes, activity logging, dispositions, and next actions. Everyone has visibility where every live opportunity stands and what it is waiting on. Events and conferences Own the conference motion end to end. Decide which events are worth attending. Attendee research and prioritisation, pre-show outreach, booked meetings before the doors open, logistics on the day, and follow-up out within 48 hours. Make the team effective in the room: briefs on who is coming, what they care about, and what we want out of each conversation. REPRESENTATIVE PROJECTS Build the signal engine. Write the thing that tells us which companies started deploying coding agents at scale this month, from job posts, engineering blogs, change logs, conference talks and hiring patterns. Score them, attach the right persona, and drop them into the CRM ready to work. Own a conference end to end. Take a sponsored conference: work the attendee list, research and rank who is worth our time, run the pre-show outreach, land a target number of booked meetings before day one, and have every follow-up sent within 48 hours of the close. Write up the parts worth repeating. Make how we approach a new account repeatable. Turn the way we research and open a company into something anyone here could run, and then into something that mostly runs itself. JOB REQUIREMENTS Must-haves Around 2+ years in a role where you had to find and open conversations with people who did not know you, and nobody handed you a list: early-stage BDR or SDR, founder's associate, consulting where you were involved in business development or building a practice, solutions or customer-facing engineering, or running your own thing. You do not need to be a formally trained salesperson. If you've built pipeline from scratch in another context, we'd love to hear about it. You have a track record of building: You can show us something you built to avoid doing a task twice e.g. a scraper, an enrichment flow, a CRM automation, a vibe-coded internal tool. High agency and ownership. You see what needs doing and do it. When something stalls, you find out why and move it, rather than reporting that it is stalled. You want the responsibility of deciding where our effort goes, not just executing a list. Startup pace. Excited by a fast-moving environment, comfortable with ambiguity and changing priorities, and willing to grind when it matters. Technically curious. You need to get interested in how coding agents work and how they fail, well enough to hold a credible conversation with a security engineer and know when to hand off to someone deeper. Strong nice-to-haves Background in cyber security, developer tools, or AI/ML Comfortable leveraging AI heavily for tooling, research, drafting and operations, while holding the output to a high standard. Experience in founder-led sales. You have supported a founder or a first GTM hire directly and understand how that relationship works. Comfort with GTM tooling and light scripting. CRM, enrichment, outbound tooling, or anything you have built yourself to avoid doing something twice. Explicitly not required Formal AI safety background. We need an excellent operator who can learn the AI safety context, and we will teach you what you need to know. A sales title. BENEFITS This role offers market competitive salary, equity, and competitive benefits. Base Salary: £72,000 - £98,000; Variable: performance incentives against ARR/qualified pipeline targets. Everyone at Apollo effectively has an unlimited token budget. If a better result costs more compute, use it. Flexible work hours and schedule Unlimited vacation Unlimited sick leave Up to 6 months of paid parental leave Comprehensive health, dental and vision insurance Retirement savings with competitive employer matching Lunch, dinner, and snacks are provided for all employees on workdays Paid work trips, including staff retreats, business trips, and relevant conferences A yearly $1,000 (USD) professional development budget Relocation support and visa fees (if applicable) LOGISTICS Time Allocation: Full-time Location: This is an in-person role working out of our London office, with regular travel to conferences and occasional travel to customer sites. We offer flexible working hours and some WFH arrangements. Visa sponsorship: We sponsor visas in the UK. Sponsorship isn't guaranteed for every role or candidate, but if we make you an offer, we'll work with you to find the right visa route. ABOUT THE TEAM You will work directly with Kyle Dai, our GTM lead, and alongside the our founding Account Executive who runs the deals your pipeline feeds. Marius Hobbhahn (CEO) advises the team. You will also interact with our other SWEs and researchers, since we intend to be "our own customer" by using our products internally for our research work. You can find our full team here. ABOUT APOLLO RESEARCH The rapid rise in AI capabilities offers tremendous opportunities, but also presents significant risks. At Apollo Research, we're primarily concerned with risks from Loss of Control, i.e. risks coming from the model itself rather than e.g. humans misusing the AI. We're particularly concerned with deceptive alignment / scheming, a phenomenon where a model appears to be aligned but is, in fact, misaligned and capable of evading human oversight. We work on the science of scheming, detection of scheming (e.g. building evaluations), and scheming mitigations (e.g. anti-scheming). We also work on control and monitoring research (see our scalable monitoring agenda). We work closely with many frontier AI companies, such as OpenAI, Anthropic, Google, Meta, Thinking Machines and others, e.g. to test their models and collaborate on the science of scheming. At Apollo, we aim for a culture that emphasizes truth-seeking, being goal-oriented, giving and receiving constructive feedback, and being friendly and helpful. If you're interested in more details about what it's like working at Apollo, you can find more information here. We also build a coding agent security product called Watcher that secures agent deployments in companies. Our goal is to reduce the probability of catastrophic incidents by securing coding agents, learning about their real-world risks, and publishing our research on how to build these control systems most effectively. Equality Statement: Apollo Research is an Equal Opportunity Employer. We value diversity and are committed to providing equal opportunities to all, regardless of age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex, or sexual orientation. HOW TO APPLY Please complete the application form with your CV. The provision of a cover letter is neither required nor encouraged. Please also feel free to share links to relevant work samples, including anything you have written. About the interview process: Our multi-stage process includes a screening interview, a take-home exercise (2-3 hours), 2-3 technical interviews, and a final interview with Marius (CEO). If you want to prepare, we suggest using a coding agent heavily for a week and forming your own view on who should be buying something like Watcher, and why. Your Privacy and Fairness in Our Recruitment Process: We are committed to protecting your data, ensuring fairness, and adhering to workplace fairness principles in our recruitment process. To enhance hiring efficiency, we use AI-powered tools to assist with tasks such as resume screening. These tools are designed and deployed in compliance with internationally recognized AI governance frameworks. Your personal data is handled securely and transparently. All resumes are screened by a human and final hiring decisions are made by our team. If you have questions about how your data is processed or wish to report concerns about fairness, please contact us at info@apolloresearch.ai.

Чем займёшься: Приём и обработка входящих заявок. Только переписка.

- Implementation of the regulatory requirements in the client on boarding process & verification. - Assessing and reviewing Customer files and preparing KYC review reports.

— Создавать контент: посты, карусели, рилс, сторис и клипы. — Работать с видеоматериалами: адаптировать, оформлять и публиковать.

Location: Lithuania Workplace: Hybrid ABOUT ENEBA At Eneba, we’re building an open, safe and sustainable marketplace for the gamers of today and tomorrow. Our marketplace supports close to 20m+ active users (and growing fast!), provides a level of trust, safety and market accessibility unparalleled to none. We’re proud of what we’ve accomplished in such a short time and look forward to sharing this journey with you. Join us as we continue to scale, diversify our portfolio, and grow with the evolving community of gamers.   ABOUT THE TEAM Before a gamer buys from Eneba, they look us up online. What they find in the results, such as our Trustpilot score, review snippets and community threads, often decides whether they trust us enough to purchase. Reviews and opinions also shape what search engines show about us, and that shapes what the next customer believes. The Reputation and Community Operations team manages that. We track how Eneba is perceived, work out what is driving it, and act on it, so that the story people find about us is accurate, current and earned. ABOUT YOU As a Reputation and Community Operations Specialist, you will read the public signals about Eneba, respond where it matters, and bring what you learn to the teams who can fix the root causes. You will also help build a community that is healthy and welcoming. We want to strengthen our team with a flexible person who writes well, stays calm under pressure and is curious about why customers feel the way they do. RESPONSIBILITIES - Monitor and respond to feedback: Track reviews, ratings and community discussions about Eneba, and respond where it has the most impact. - Analyse sentiment trends: Identify the factors behind changes in public sentiment and present clear, evidence-based findings. - Escalate and resolve recurring issues: Raise recurring issues with Support, Product and other teams, with supporting evidence and a defined ask, and follow up until they are resolved. - Engage with the community: Take part in community spaces as a genuine, recognisable presence. Welcome new members, answer questions, de-escalate tense discussions and pass member feedback on to the relevant teams. - Report on and improve public ratings: Contribute to regular reporting and, over time, take ownership of initiatives to improve Eneba’s public ratings. REQUIREMENTS - Less than a year of hands-on experience taking part in and/or growing online communities on platforms such as Reddit and Discord, along with a background in customer support, community management, social media or reputation management, and a real interest in gaming culture. - Excellent written English and the ability to handle customers with clear, empathetic and professional communication, staying composed in difficult conversations and committed to resolving issues. - A structured, organised approach to work, with strong ownership, a proactive mindset, and the ability to manage several priorities and work across teams independently. - Curiosity about what drives customer sentiment, and confidence interpreting data trends. - Flexibility and adaptability to work in a shift-based schedule, including occasional late evenings and weekends, particularly around major game releases and other high-impact periods. COMPENSATION: €21,420 - €22,260 A YEAR; Salary ranges may vary. We're seeking candidates with varied experience levels; from individual contributors to functional leaders in this space. We're an international team and our business language of choice is English. Good English level is required, proficiency is preferred.   WHAT IT'S LIKE TO WORK AT ENEBA - Opportunity to help scale a unique product. - Various bonus systems: performance-based, referral, additional paid leave, personal learning budget. - Paid volunteering opportunities. - Work location of your choice: office, remote, opportunity to work and travel. - Personal and professional growth at an exponential rate supported by well-defined feedback and promotion processes.       We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Нужен человек на базовое ведение соцсетей. — 10–12 постов/мес (тексты + публикация).

– опыт работы в медиа на руководящей позиции; – умение выстраивать и организовывать редакционные процессы;

• Стратегия и продвижение: Разработка контент-плана, упаковка профилей, выстраивание воронок (перевод трафика). • Продакшн: Написание ТЗ и работа в связке с креатором и ассистентом для получения качественного фото/видео материала.

• Build, own, and lead the overall affiliate strategy and high-value partner portfolio. • Own acquisition targets, commercial terms, and affiliate channel performance.

• Разработка и ведение контент-плана. • Подготовка и публикация контента о студии и её проектах.