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What we’ll do Own launches end to end. Onboarding call, launch angle, creator selection, creator briefs, coordination, activating the client’s own network, launch day, retro.
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You'll lead the team that builds the intelligence every ZoomInfo AI agent reasons over — what's true about companies and the people in them, how they relate, and what they're buying. You'll set the technical bar for a team of senior engineers while staying close to the code, shipping alongside the people you lead.
233 100 – 366 300 $
You make huge models, up to 1T+ parameters, answer fast and cheap in production. SGLang, caching, distributed inference, post-training.
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Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
-Build, maintain and test core components on our Cosmos-SDK protocol including our decentralized orderbook, trade execution coordinator, order matcher, and Layer-2 execution environment. -Develop and optimize core components of the Injective blockchain (consensus, state management, financial infrastructure and applications).
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Key Responsibilities Content strategy and ideation Identify content angles that differentiate Lineup and FatTail in a crowded, relationship-driven market, grounded in competitive intelligence, customer research, and product knowledge. Qualifications 5+ years experience Strong storytelling instincts.
90 000 – 115 000 $
-Break things on purpose. Threat-model and review Solidity contracts, blockchain state transition functions in Rust, and other critical systems before an attacker gets the chance.
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As the Senior Staff Machine Learning Platform Engineer, you will own the technical vision and evolution of Faire’s ML platform. You will set standards, influence org-wide architecture, and lead complex, cross-functional initiatives that unlock data science velocity at scale.
248 000 – 341 000 $
to help grow our sales pipeline and introduce prospective customers to the Enterprise Team at Doximity. As a BDR, you’ll be responsible for identifying and engaging potential customers, understanding their business needs, and creating qualified opportunities for our New Business Sales Team.
64 800 – 93 680 $
What You'll Do: Design A.I.
1 000 – 1 000 $
Things You’ll Be Doing: Cold Calling.
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You will: Help the Deal Desk Manager with various tasks.
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Sales Development Representative (SDR) — open Full-time (8 hours/day) · Reports to: Business Development Manager Position Purpose The Sales Development Representative (SDR) is responsible for filling the top of our sales pipeline with qualified leads. Requirements 1–3 years of experience in an SDR, lead generation, outbound sales or similar B2B role.
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Ваши профессиональные качества: — Опыт работы в сфере маркетинга от 1 года; — Опыт работы в нише стоматологии, глубокое понимание всех процессов стоматологии от 1 года; — Стратегическое мышление; — Опыт управления командой и её создания; — Грамотная устная и письменная речь; — Структура и четкость в работе, внимательность к деталям и при этом многозадачность; — Интерес к медицине, сфере beauty и теме здоровья; — Понимание маркетинга, продолжение развития в этом направлении. Обязанности: — Принятие быстрых решений в срочных ситуациях, обеспечение руководителей всей информационной базой; — Анализ работы сайта и наполнение его новым, актуальным контентом; — Ведение соц. сетей; — Работа с Картами (Яндекс, Гугл, 2Gis); — Обновление контента на мониторах клиники; — Согласование плана публикации постов в социальных сетях бренда; — Согласование и контроль sms-рассылок; — Согласование медиа-плана; — Составление стратегических планов; — Подготовка материалов для рекламы; — Сравнение и анализ конкурентов; — Осуществление контроля за выполнением сотрудниками поручений; — Marketing research (исследование рынка, анализ конкурентной среды, исследование потребителей, торговой марки); — Анализ и оценка эффективности (доля рынка, объем продаж, и др.); — Мониторинг рекламной активности компаний конкурентов (весь рынок).
от 100 000 ₽
Anthropic Fellows Program overview: The program is designed to foster AI research and engineering talent by providing funding and mentorship to promising technical talent regardless of previous experience. Fellows primarily use external infrastructure such as open-source models and public APIs to work on projects aligned with Anthropic's research priorities, aiming to produce a public output like a paper submission. Multiple cohorts run each year with rolling application reviews. What to expect: — 4 months of full-time research — Direct mentorship from Anthropic researchers — Weekly stipend of 3,850 USD / 2,310 GBP / 4,300 CAD plus benefits varying by country — Funding for compute (~$15k/month) and other research expenses Interview process: Includes initial application and reference check, assessments and interviews, and a research discussion. Compensation: Expected base stipend is 3,850 USD / 2,310 GBP / 4,300 CAD per week for 40 hours per week over 4 months, with possible extension. The Anthropic Institute Fellows (Economics & Policy): Mentors and research areas include Economics (Maxim Massenkoff, Peter McCrory) and Policy, Security, and Society (Jack Clark, Marina Favaro, Jim Baker). Projects may include: — Designing and conducting empirical research on AI's economic effects using external data sources — Developing new methodological approaches for studying AI's impact on labor markets, future of work, and society — Analyzing offense–defense balance for AI-enabled cyber and bio capabilities as models scale — Measuring model performance increases with custom harnesses — Identifying market-driven mechanisms to improve societal resilience to AI threats — Identifying AI R&D metrics as early warning signals for recursive self-improvement Candidate criteria: — Interest in economics or policy research; prior experience is a plus but not required — Adaptable and collaborative, able to take direction and contribute to team priorities — Skilled at writing and communicating results, including null or unexpected findings — Passionate about translating research insights into actionable recommendations for AI systems and policy Good fit if: — Motivated to ensure AI is safe and beneficial for society — Interested in transitioning into AI research and possibly a full-time role at Anthropic — Strong track record of empirical research — Thrives in fast-paced, collaborative environments — Can implement ideas quickly and communicate clearly Requirements: — Fluent in Python programming — Available full-time for the Fellows program Logistics: — Must have work authorization and be located in the US, UK, or Canada during the program — Workspace available in San Francisco; remote fellows accepted in UK, US, or Canada — No visa sponsorship available; candidates must have or obtain full-time work authorization independently — Program duration is 4 months full-time; partial commitments considered case-by-case Additional notes: — The program encourages applications from underrepresented groups and those who may doubt their qualifications. — Anthropic is a public benefit corporation headquartered in San Francisco offering competitive compensation, benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and office space for collaboration. — Candidates should be cautious of scams and only trust communications from @anthropic.com email addresses.
Anthropic Fellows Program is designed to foster AI research and engineering talent by providing funding and mentorship to promising technical talent regardless of previous experience. Fellows primarily use external infrastructure such as open-source models and public APIs to work on empirical projects aligned with Anthropic's research priorities, aiming to produce public outputs like paper submissions. The program runs multiple cohorts yearly with rolling application reviews, expecting a start in January 2027 but flexible start dates can be requested. The program includes 4 months of full-time research, direct mentorship from Anthropic researchers, access to a shared workspace, connection to the AI safety and security research community, a weekly stipend of 3,850 USD / 2,310 GBP / 4,300 CAD plus benefits varying by country, and funding for compute (~$15k/month) and other research expenses. The interview process involves an initial application and reference check, technical assessments and interviews, and a research discussion. Applicants are encouraged to apply even if they do not meet every qualification, with emphasis on diversity and inclusion. There are two main fellow tracks: ML Systems & Performance Fellows: - Mentors include Alwin Peng and Zygi Straznickas. - Projects may involve building CPU simulators for accelerator workloads, adding backends for accelerators on open source projects, building on-demand infrastructure, and creating complex synthetic data or environment pipelines. - Candidates should have strong software engineering skills, experience with complex ML systems, ability to balance research and engineering rigor, comfort with large-scale distributed systems and high-performance computing, experience with training or evaluating large language models, and skills in analyzing and debugging model training. - Fluency in Python and full-time availability are required. Reinforcement Learning Fellows: - Mentors include Ruhua Jiang, Kaidi Cao, Sunny Duan, David Brandfonbrener, Colt Steele, Dino Distefano, and Will Williams. - Projects may include building model-based tools to understand and improve AI training data, research on generalization, creating RL environments to improve Claude models and safety-related tasks, and research and implementation of RL algorithms. - Candidate criteria are similar to ML Systems Fellows. Logistics: - Participants must have work authorization and be located in the US, UK, or Canada during the program. - Shared workspaces are available in San Francisco; remote participation is allowed in the UK, US, or Canada. - Visa sponsorship is not provided; candidates must have or obtain full-time work authorization independently. - The program duration is 4 months full-time, with possible extensions and flexibility for partial commitments. Additional notes: - No guarantee of full-time offers post-program, though strong performers may receive offers or continue impactful AI safety work elsewhere. - Anthropic's full-time role policies do not apply to the Fellows Program. - The company emphasizes collaborative, large-scale AI research with a focus on safety, interpretability, and steerability. - Candidates must be fluent in Python and able to commit full-time. - The program values diversity and encourages applications from underrepresented groups. - Safety advice is provided regarding recruitment communications. Apply at the provided link.
Responsibilities: — Provide legal advice to internal teams on commercial, corporate, tax, migration, and regulatory matters across multiple jurisdictions; — Draft, review, negotiate, and manage a wide range of legal documents, especially commercial agreements with vendors, partners, agents, and service providers, focusing on license, merchant, partnership, and marketing agreements; — Conduct legal research, monitor legislative updates, and prepare clear summaries, reports, and presentations to support decision-making; — Lead or support legal projects, coordinating with internal teams, external advisors, agents, and law firms on corporate, banking, financial, and compliance matters; — Prepare and submit documents to authorities and liaise with governmental and regulatory bodies when required; — Assist in developing and maintaining internal compliance guidelines, documentation, and policies; — Identify legal risks, propose practical solutions, and provide insights on legal trends that may impact the business; Requirements: — A law degree from a recognized university; — At least 5 years of experience as a lawyer in IT, FinTech, iGaming, or a similar industry; — Fluent written and spoken English; — Strong knowledge of contracts, intellectual property, corporate law, and compliance frameworks; — Excellent written and verbal communication skills with a proactive approach to problem-solving; — Sharp analytical skills, legal research capabilities, and sound judgment; — Exceptional attention to detail and accuracy in legal documentation and processes; — Strong self-management, time-management, and teamwork skills; — Ability to work independently with minimal supervision; Conditions: — High salary with performance bonuses and salary revision; — Work schedule: Monday to Friday, 9 hours with 1 hour lunch break, flexible start between 8:00 and 10:00; — 24 days holiday leave; — Corporate English and Greek lessons; — Gym and SPA in the office; — Corporate meals; — Eventful corporate life; — Exciting work challenges allowing professional growth; — Strong team support for professional development and ambitious projects.
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Neoai IT Center izlayapti mutaxassislarni bir nechta yo'nalishlarda: backend dasturlash (python, Django, Fastapi, Node.js, Express.js, Java, Spring Boot, PHP, Laravel, Rest API, Postgresql, Mysql, Mongodb, Git, Docker), frontend (HTML, CSS, JavaScript, TypeScript, React, Next.js, Vue.js, Angular, Tailwind CSS, Bootstrap, Git), mobil dasturlash (Dart, Flutter, Kotlin, Java, Swift, React Native, Firebase, Android Studio, Xcode, Git), UX/UI dizayn (Figma, Adobe XD, Photoshop, Illustrator, Figjam, UI Design, UX Research, Wireframing, Prototyping, Design System), kiberxavfsizlik (Linux, Python, Bash, Networking, TCP/IP, Wireshark, Nmap, Burp Suite, Metasploit, OWASP, Git, Docker), data science (Python, Numpy, Pandas, Matplotlib, Seaborn, Scikit-learn, TensorFlow, PyTorch, SQL, Jupyter Notebook, Git), data analitika (Python, Pandas, Numpy, SQL, Excel, Power BI, Tableau, Matplotlib, Seaborn, Jupyter Notebook), sun'iy intellekt (Python, PyTorch, TensorFlow, Keras, Scikit-learn, Hugging Face, OpenAI API, Langchain, Numpy, Pandas, Git, Docker), robototexnika (Python, C++, Arduino, ESP32, Raspberry Pi, ROS, Matlab, Arduino IDE, OpenCV, Sensors, Git). Ish joyi Toshkent shahrida, ish vaqti 3 soat, maosh 4-5 million so'm. Vazifalar: o'quvchilarga zamonaviy IT texnologiyalarini nazariya va amaliyot asosida o'rgatish, darslarni amaliy loyihalar va real vazifalar bilan tashkil etish, o'quvchilar bilan individual ishlash va ularning rivojlanishini kuzatib borish, dars materiallari va amaliy topshiriqlar tayyorlash. Nomzodlar mas'uliyatli, kommunikativ bo'lishi, o'z yo'nalishi bo'yicha amaliy tajribaga ega bo'lishi, yangi texnologiyalarni muntazam o'rganib borishi talab etiladi. Shuningdek, tajribali mutaxassislar bilan birga professional muhitda rivojlanish imkoniyati mavjud.
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EBANX is building a Talent Pool for a future Business Development Specialist role based in the UK to support global expansion by acquiring new business and forming strategic partnerships in key regions. The role focuses on engaging with enterprise merchants, driving growth through centralized management and scalable solutions, onboarding new customers, strengthening relationships, and reinforcing presence among digital clients. Responsibilities include identifying, developing, and closing new business opportunities; building and executing strategic plans to penetrate new verticals, regions, and customer segments; generating leads, conducting market research, and establishing relationships with key stakeholders; driving adoption of payment solutions; collaborating with GTM, product, marketing, merchant success, risk, legal, and finance teams; negotiating contracts, pricing, and service agreements; tracking pipeline progression and performance metrics within Salesforce.com; providing market insights and feedback to leadership; staying ahead of industry trends and competitor movements; and representing the company professionally. Requirements include proven experience in business development/strategic sales with global enterprise accounts in the Payments Industry; a proven track record of meeting and exceeding business goals; deep knowledge of the merchant payment ecosystem, market trends, and customer pain points; exceptional verbal and written communication skills; English language proficiency; ability to generate pipeline and accelerate deals; analytical mindset; experience using Salesforce CRM and HubSpot; hands-on experience with modern lead generation tools including AI-powered prospecting platforms (Apollo, Cognism, Clay, LinkedIn Sales Navigator with AI plug-ins); ability to translate CRM and data insights into actionable strategies; hunter mentality; track record of exceeding new logo acquisition targets; self-starter with proactive mindset; excellent communication, presentation, persuasion, planning, organization, prioritization, and time management skills; valid passport and willingness to travel up to 50% of the time. EBANX offers a challenging environment with growth opportunities; language classes (Spanish, English, Portuguese); WAVES bonus program; budgets for education and skills development; flexible birthday day off; health and dental insurance with subsidies; and psychological, financial, and legal orientation.
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