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Location: San Francisco, CA | New York City, NY | Seattle, WA 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 Data Center Security Engineering (DCSE) owns physical security across Anthropic's data center footprint: the sites, the hardware inside them, and the supply chain that delivers it. The Security Fusion Platform is where physical security signals from across that footprint are correlated and put in front of the analysts who act on them. It carries continuous monitoring, audit evidence, metrics, and analyst response, along with the classification and analytics pipelines that turn sensor data into events. You'll build and own the platform analysts work from. This is a foundational role. You'll build the software platform that carries a signal from source to analyst decision, ship its first versions, and keep them running in production. The sensors and systems at each site belong to other DCSE engineers; you define the event contract their owners deliver to, and you build the classification and analytics pipelines that run over what those sources produce. Physical security systems engineers own the operations spaces; you own the software that runs in them. You'll work alongside engineers focused on the sites themselves. What you lead, you own end to end: the design, the technical approach, and the result in production. You'll work with external vendors and integrators, setting requirements and acceptance criteria for what you own and deciding what the team builds itself. We use Claude throughout our engineering workflow and expect you to as well. This role involves regular travel to data center sites. No security clearance is required. These are critical services, and you'll take part in on-call for them. Key responsibilities Design and build the event bus and normalized event schema: source identity, sequencing, health state, and the adapter contract that owners of each sensor and system feed build to, plus adapters where needed Build correlation and alerting: the rules and services that turn events from independent sources into alerts an analyst can act on Build the classification and analytics pipelines: computer vision and multi-sensor fusion, with results landing on the event bus Build analyst surfaces: the queue, escalation tooling, dashboards, camera viewers, and video wall content a 24/7 watch works from, plus video analytics integration so camera streams arrive on the bus as events Deliver audit evidence: durable, tamper-evident event history, evidence exports, and the retention and access controls around them Instrument metrics and self-monitoring: detection rates, nuisance ratios, alert aging, time to resolve; heartbeats and loss-of-telemetry alarms on every feed, tested fail-secure behavior, and change audit on every rule Deploy across sites: site-local components, central services, and the sync that keeps configuration, rules, and state consistent, then commission each site and hand over to the analysts Specify the compute the platform runs on (servers, storage, and the platform's network segment) to the team's segmentation and hardening baseline Write requirements and acceptance criteria for what vendors and integrators deliver, review deliverables against them, and make the call on accepting or rejecting the work Minimum qualifications Have built and run event-driven backend systems in production Are proficient in at least one backend language such as Python, Go, or Rust, and have worked with a message bus or event streaming system such as Kafka Have owned a system end to end: set the design, made the tradeoffs, shipped it, and answered for it in production Have integrated with external systems you did not control (vendor APIs, on-prem appliances, video platforms, building systems) and designed for a life beyond any one vendor Have directed vendor or integrator work: written requirements and acceptance criteria, reviewed deliverables against them, and decided what gets accepted Design for the failure you won't see coming (a silent feed, a lost network path, a replayed event, a de-tuned rule), know how your system behaves when a source lies or goes quiet, and test for it Build tools for people who use them under pressure and iterate with those operators Preferred qualifications Experience building or operating a security operations platform (SOC, physical security operations, or the detection engineering behind one) Experience building ML or computer vision inference pipelines over video and sensor streams PSIM (physical security information management) or VMS (video management system) integration experience, or familiarity with physical access control and building systems data Experience producing evidence for auditors or assessors: log integrity, retention, chain of custody Experience using AI-assisted development tooling as a core part of your workflow 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: $320,000 — $405,000 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. 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: London, United Kingdom - Deliveroo Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Mid-Market Corporate Sales Lead Join us in our mission to transform the way people shop and eat, where impact, innovation, and growth drives everything we do. Our Commercial team sits at the centre of Deliveroo’s marketplace—shaping how we serve restaurants, grocers, and new verticals worldwide. From negotiating key partnerships to unlocking new revenue streams and crafting data-led growth strategies, we take on big challenges that move the business forward. If you thrive in fast-paced, commercial environments and want to influence the future of a global brand—this is the team for you. We’re looking for a Mid-Market Corporate Sales Lead to join our London team. This is a hybrid role. In this role, you’ll help us lead a small team of BDMs and deliver the mid-market new business target through your own pipeline and your team's performance. Get to know our Commercial team — what drives us, how we work, and what you can expect. https://careers.deliveroo.co.uk/the-commercial-team/ What You’ll Be Doing You’ll be joining the Deliveroo for Work (DfW) UKI team. Deliveroo for Work is Deliveroo’s B2B arm, offering simple and flexible food-spending solutions to corporate clients across seven global markets. From team lunches to late-night meals to office events and even pantry supplies - Deliveroo for Work has every business food need covered. Here’s what your day-to-day might look like: New Business Target: Own the mid-market new business target for the UK, delivered through a combination of your own sales and your team's performance, building strong relationships with decision-makers and uncovering growth opportunities using data-driven insights. Monitor pipeline performance through key metrics to identify trends, risks, and growth levers to develop tailored strategies to maximise new business revenue. Team Leadership: Lead, coach, and nurture a small team of BDMs, setting clear direction and priorities, and supporting their development to help them thrive and deliver against their targets. Strategic Vision: Own the mid-market new business strategy, leveraging commercial data, prospect behaviour insights, and market performance analysis to identify growth levers and performance risks. Translate complex pipeline trends into clear, actionable recommendations that inform decision-making and drive measurable commercial outcomes. Technical Sales: Develop deep expertise in the DfW product suite to advise prospects on best-practice usage. Build credibility as a trusted technical partner by proactively identifying risks, troubleshooting issues, and driving timely resolution to ensure a seamless prospect experience. Stakeholder Management: Build and maintain strong, multi-level relationships with key stakeholders across prospect organisations and internal teams, acting as the primary point of contact throughout the sales process. Understand stakeholders and their priorities, tailoring engagement and communication to secure buy-in, resolve issues quickly, and unlock new growth opportunities. Cross-functional Collaboration: Partner closely with Marketing, Tech, Finance, and Global Commercial teams to represent your pipeline’s priorities. Translate new business performance insights into clear requirements, influence roadmaps and campaigns, and ensure initiatives are aligned to UK growth objectives. What You’ll Need to Thrive Our ideal candidate will bring strong expertise in some of these areas and curiosity to grow in others: Commercially minded with strong commercial instinct and a passion for driving growth and taking full ownership of targets. A natural people leader with high EQ, who inspires trust, coaches with empathy, and brings out the best in their team. Data-driven operator comfortable working with large data sets and confident in translating metrics to shape sales plans. Exceptional stakeholder management and communication skills, with a proven ability to engage quickly, build strong relationships, and influence across all levels. Solutions-focused, curious, and proactive mindset, comfortable moving with pace and thriving in fast-growing environments. Why Join Us? At Deliveroo, you’ll do work that matters, solving real-world problems in a three-sided marketplace that’s constantly evolving. We’re food lovers, problem solvers, community builders and more, brought together by a shared drive to make things better. Working here you can expect to: 🔧 Make a visible impact every day Your work directly improves experiences for customers, partners and riders. 🌱 Learn fast in an entrepreneurial environment Work close to the market with autonomy, pace and real responsibility. 🧠 Build a career, not just a role Stretch yourself, develop new skills and grow as the business evolves. 🌎 Deliver together in an inclusive culture Collaborative, values-driven teams that support how you work best. We aim t o create a fair process that lets your skills shine—our interview typically includes 3-4 stages. Find more about how we hire here. Our Global Structure: Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborat e with teammates, systems , and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

- Знание и опыт с Java Core (11/17): коллекции, Stream API, лямбды, базовая многопоточность; - Уверенное знание SQL, опыт создания сложных запросов и оптимизации;

Key requirements: Java, Python, AWS (EC2, S3), Kubernetes. Job descriptions.

Location: Tbilisi, Georgia Workplace: remote At Infomediji, we are building the next generation of Spatial Media: a new way people experience video through interaction, multi-user presence, haptics, AI, and immersive storytelling. DeoVR is a leading immersive streaming platform serving millions of users globally. Content creators and partners are central to this ecosystem, and we are looking for a Product Manager to make their experience simpler, clearer, and more scalable. If you enjoy turning complex operational and technical workflows into products people genuinely enjoy using, this role is for you. The Role We are looking for a Product Manager - Content to own the product experience for our content partners across our streaming platform. This is a product and engineering-facing role. You will work closely with Content Partnerships, Marketing, Design, and Backend Engineering to identify friction, define the right solutions, and deliver high-impact improvements. What You Will Do Own and improve the end-to-end product experience for content partners, creators, and studios Map and optimise key partner workflows, including partner applications, onboarding, content submission, publishing, status tracking, and related processes Turn partner feedback, operational pain points, and business needs into clear product problems and prioritised solutions Independently implement selected solutions, such as internal tools, workflow automations, integrations, prototypes, or partner-facing improvements Work closely with Backend Engineering to define scalable systems, workflows, integrations, and self-service tools Partner with Content and Marketing to improve partner acquisition, activation, engagement, and retention Define product requirements, success metrics, user stories, and delivery priorities Lead product discovery and validate opportunities through qualitative feedback, data, and market research Own the roadmap for content-partner-facing initiatives from discovery through delivery and iteration What We Are Looking For Product Management experience in a digital product environment Hands-on development experience, including building production features, internal tools, automations, integrations, or technical prototypes Experience owning products or workflows connected to creators, partners, marketplaces, platforms, UGC, media, or SaaS Strong technical understanding and confidence working closely with Backend Engineering teams Ability to translate complex operational workflows into clear, scalable product solutions Experience with product discovery, roadmap ownership, prioritisation, and delivery High ownership, structured thinking, and comfort working in a fast-moving environment Strong product judgement around AI: you can distinguish a meaningful product advantage from a feature that only sounds innovative Fluency in English and Russian Bonus Points Experience with video, streaming, creator, affiliate, marketplace, or platform products Product engineering, backend, full-stack, or automation background Hiring Process HR screening (30 min) Team Interview (1 hour) Case Task (2-4 hours) CEO Interview (45 min) 💼 Explore our hiring process What We Offer Please note: fully remote contract role. B2B only - work as an independent contractor with your own legal entity. The chance to be part of a pioneering team in a rapidly evolving industry Direct impact on the future of immersive media Flexible working hours and remote-first culture A team that values initiative, clarity, and collaboration Access to all tools and tech you need Unlimited DeoVR Premium A work environment where ideas matter and people are treated with respect Stay Connected Join our Facebook community and follow updates as we advance interactive VR experiences through cutting-edge technology. Join us and step into a role where legal expertise meets innovation.

Location: United States Workplace: Remote ABOUT US Circle is building the world’s leading AI-powered, all-in-one platform for digital businesses. We make it possible for creators, coaches, educators, and businesses to bring together their audience with engaging discussions, live streams, events, chat, courses, and payments — all in one place, all under their own brand. We’re proud to be a fully remote company of around 270 (and growing!) team members from 30+ countries around the world. We seek exceptional individuals around the world, set them up to do the best work of their lives, and in turn, create a meaningful impact in their own lives. We don't track hours, but we do manage for high expectations very closely. We collaborate across time zones, are highly async, and like to document a lot. Twice a year, we bring the whole company together in beautiful places around the world for our company offsites. So far, we’ve hosted offsites in Turkey, Portugal, Mexico, Thailand, Colombia, Italy, Ireland, and more, with still more to come! Check out our Careers https://careers.circle.so/ page for more about working at Circle. ABOUT THE ROLE The Director of Strategic Partnerships will lead the strategy, growth, and performance of Circle's partnerships function, building programs and relationships that strengthen Circle's brand while driving meaningful business outcomes. This role sits at the intersection of business development, partnerships, creators, content, and growth. You'll be responsible for translating Circle's broader company priorities into a forward-looking partnerships strategy, identifying where and how we invest, developing our most important creator and strategic relationships, and ensuring those investments translate into measurable impact across customer growth, brand awareness, and market position. A core part of the role is bringing strong creative and commercial judgment to the work, operating as a genuine strategic partner to the people on the other side of the table. You'll cultivate and maintain those relationships directly, building campaigns, offers, content, and experiences that feel authentic to their audiences — and developing strategies that grow revenue for both parties, so that Circle and the partner each achieve their own goals rather than just executing against Circle's priorities. You'll also build the systems, team, and operating model required to scale the function, moving successful initiatives from one-off execution into repeatable programs that can grow without depending on a single person to drive every detail. This is essential to the function’s ability to achieve significant impact on ICP trials and for the director to be successful in this role. In addition to the operational expertise to move something from incubation to repeatable system, this role has to also be creative enough to continuously develop new strategic programs. Reporting to our SVP, Ecosystem, you'll work closely with Circle's founders and leadership team, as well as teammates across Community Growth, Media, Demand Generation, Product Marketing, our Design Studio.   WHAT YOU'LL BE DOING - Own Circle's Partnerships strategic planning, and roadmap, using deep, company-wide knowledge of Circle's business, strategy, and goals to originate new concepts and ideas that extend the function's impact beyond its current scope — connecting partnership investments to company priorities, measurable business outcomes, and providing strategic direction to managers across multiple areas and operations. - Take ownership of the function's contribution to new business and other agreed performance goals, using those outcomes to inform where we invest, what we build, and how we prioritize. - Build repeatable partnership programs and playbooks that allow successful initiatives such as webinars, challenges, creator campaigns, launches, and event activations to scale without requiring the same level of hands-on involvement each time. - Develop a forward-looking quarterly and annual partnership plan across creator partnerships, strategic relationships, campaigns, launches, events, and other high-impact opportunities. - Lead Circle's highest-value creator and strategic partnerships, including relationship development, opportunity identification, deal strategy, negotiation, creative direction, and long-term growth. - Shape the content and creative strategy behind major partnerships, working closely with partners to develop ideas that are authentic to their audience, differentiated in the market, and effective for Circle. This includes bringing in leadership on a case-by-case basis in areas where there could be partnership impact across multiple functions. - Bring a strong marketing mindset into partnership development, including offer strategy, audience journeys, conversion opportunities, and ways Circle and its partners can create greater value together over time. - Develop a sophisticated measurement framework for brand activities (i.e. event sponsorships, activations, etc.), so we are leveraging data and insight to inform investments and decisions. - Establish clear measurement, reporting, and decision-making frameworks for the function, using performance and qualitative insights to improve future investments. - Support cross-functional teams in a consultative capacity on any content-forward initiatives. WHAT YOU'LL NEED TO BE SUCCESSFUL - Exceptional written and verbal communication skills in English (CEFR C2 or equivalent https://englishonline.britishcouncil.org/free-english-level-test-cefr-2/), as most collaboration at Circle happens asynchronously.  - 10+ years of experience building 6-7 figure strategic partnerships, creator programs, brand initiatives, or strategic growth programs within SaaS, technology, the creator economy, or a similarly fast-moving industry. - Strong business development skills including pipeline management, negotiation, partner development, and cross-functional project management. - Performance marketing instincts and an understanding of how partnerships can drive both brand value and measurable business outcomes. - Deep understanding of Circle's customers, the creator economy, and the broader market, with a point of view on where Circle can build differentiated relationships and influence. - Experience developing and growing high-value relationships, with strong judgment around deal structure, negotiation, partner dynamics, and long-term opportunity. - Exceptional content and creative instincts, with the ability to understand an audience, identify a compelling story, and translate Circle's value into ideas that feel native to a creator or partner. - The ability to move fluidly between brand strategy and performance, understanding how strong storytelling, offers, funnels, campaigns, and distribution work together. - A track record of turning successful one-off initiatives into repeatable programs, systems, and playbooks that can scale through a team. - Strong strategic planning skills and in-depth knowledge of the partnerships function, Circle's broader business strategy, and company-wide goals — with the judgment to translate ambiguous, cross-functional, abstract situations into clear strategy and direction, anticipate future needs, identify opportunities early, prioritize investments, and keep the function operating ahead of the business rather than reacting to it. - Experience managing and developing a team through senior managers or managers-of-managers, not only direct individual contributors — setting clear expectations, delegating full ownership of a sub-area rather than staying close to execution, coaching judgment, and building greater autonomy over time. - Strong cross-functional leadership skills and the ability to influence senior stakeholders across teams without needing direct authority. COMPENSATION & BENEFITS Circle offers U.S.-benchmarked compensation globally, equity in the company with ongoing refresh grants, and 35 days of paid time off each year. We’re a remote-only team that comes together twice a year for company retreats in incredible destinations around the world. Alongside incredible flexibility and autonomy, we offer a benefits package that supports health, wellbeing, and professional growth. Learn more in our Candidate Hub. https://circleco.notion.site/circle-candidate-hub LEARN MORE - Candidate Safety & Interview Process Notice https://app.notion.com/p/circleco/Circle-Candidate-Hub-374b655313b7803d9580fb7da4f51acf?source=copy_link#374b655313b780e5b681c4d56b962790 - Diversity, Equity & Inclusion https://app.notion.com/p/circleco/Circle-Candidate-Hub-374b655313b7803d9580fb7da4f51acf?source=copy_link#374b655313b7807a8e3ff5c25a1d93ba - How We Use Candidate Data https://app.notion.com/p/circleco/Circle-Candidate-Hub-374b655313b7803d9580fb7da4f51acf?source=copy_link#374b655313b780e49e98f390eec6bb51 - Equal Employment Opportunity https://app.notion.com/p/circleco/Circle-Candidate-Hub-374b655313b7803d9580fb7da4f51acf?source=copy_link#374b655313b7807a967dea67e68f31f0 - Visit our Candidate Hub https://circleco.notion.site/circle-candidate-hub to learn more about working at Circle, our benefits, and our hiring process.

Location: Limassol, Cyprus Workplace: on-site Mayflower is a technology company building high-load products used by millions of people worldwide. Operating at the scale of one of the world's top-50 websites, we solve complex engineering challenges and create solutions that power real-time entertainment for a global audience. We are looking for a Lead ML Engineer to own a new ML stream focused on fast delivery of applied machine learning solutions across different product and business domains. The stream will work with a broad range of ML challenges. Some initiatives may be relatively small and delivered within a few weeks, while others may prove their value and grow into larger dedicated projects. This role combines hands-on ML engineering with end-to-end technical delivery ownership. You will receive product problems and expected outcomes from Product or internal stakeholders, clarify the technical requirements and constraints, define the implementation approach, coordinate execution within the stream, and bring solutions to production readiness and launch. This is a highly hands-on role. The stream will not have a dedicated software engineer for every initiative, so we expect Data Scientists and ML Engineers to be comfortable working beyond experimentation and contributing directly to production code. The role is not tied to a single ML domain. We value strong ML fundamentals, engineering skills, pragmatism, and the ability to quickly understand new problem areas more than deep specialization in one particular class of models. Job Responsibilities Technical Delivery Ownership Turn product and business problems into concrete ML implementation plans. Clarify requirements, constraints, available data, integrations, and success criteria together with Product and relevant stakeholders. Define technical scope, milestones, dependencies, risks, and delivery estimates. Select appropriate ML approaches and determine the fastest reliable way to validate and implement them. Drive technical delivery through experimentation, implementation, integration, deployment, and launch readiness. Keep delivery on track, proactively identify blockers, and coordinate dependencies with other teams. Provide Product with clear technical options, trade-offs, estimates, risks, and experiment results required for product decisions. Support production rollout and iteration based on observed results. Hands-on ML & Engineering Design, train, evaluate, and deploy ML models across different domains and problem types. Write production-quality Python and contribute directly to implementation. Build APIs, batch jobs, data-processing pipelines, and ML services required to deliver solutions where appropriate. Work with classical ML, deep learning, and foundation-model-based approaches depending on the problem. Process and transform large production datasets using Python and SQL. Integrate models into existing production systems. Implement appropriate testing, monitoring, logging, and observability for delivered ML solutions. Work within the shared ML infrastructure, architecture, and engineering practices used across the company. Collaborate with Data Science, Backend, Data Engineering, and MLOps specialists when deeper domain expertise or infrastructure changes are required. Stream Execution Break initiatives down into concrete technical tasks and coordinate execution within the stream. Coordinate the work of Data Scientists and ML Engineers contributing to stream initiatives. Review technical approaches, experiments, and implementation. Keep the team focused on the agreed scope, priorities, and delivery timeline. Identify technical risks and dependencies early and drive them to resolution. Escalate architectural, infrastructure, or methodological questions when broader alignment is required. Help prepare successful initiatives for scaling or transition into longer-term ownership if they grow beyond the scope of the stream. Cross-functional Collaboration Work closely with Product throughout the delivery lifecycle. Independently gather the technical details and constraints required to execute on a product request. Communicate estimates, dependencies, technical trade-offs, and delivery status clearly. Work directly with Engineering and other internal teams to unblock implementation. Challenge technically unclear, contradictory, or infeasible requirements and propose practical alternatives. You’ll thrive here if you have 5+ years of commercial experience in Machine Learning, Data Science, or ML Engineering. Strong hands-on Python programming and software engineering skills. Experience taking ML solutions from a product requirement through experimentation, implementation, integration, and production. Strong understanding of machine learning methods, statistics, experimentation, and model evaluation. Experience writing maintainable production code rather than working exclusively in notebooks. Experience building APIs, services, batch processing, or data pipelines. Strong SQL skills and experience working with large production datasets. Practical experience with Docker and production deployment environments. Ability to turn partially defined problems into concrete technical plans. Ability to estimate work, identify dependencies and risks, and drive technical execution against a timeline. Experience owning technical delivery involving several contributors and coordinating work across dependencies. Experience reviewing code and technical approaches. Ability to work effectively within established engineering and ML practices while independently owning delivery within a stream. Strong communication skills and the ability to work directly with Product and technical stakeholders. Ability to balance speed and engineering quality: validate ideas quickly when uncertainty is high and build robust solutions when moving towards production. Nice to Have Previous experience as a Tech Lead, Stream Lead, or technical owner of ML initiatives. Experience with Kubernetes and CI/CD. Experience with Kafka or other streaming platforms. Experience with Airflow, MLflow, experiment tracking, model monitoring, or similar tooling. Experience building real-time or high-load ML services. Experience with FastAPI or similar Python service frameworks. Experience across several ML domains, such as recommendation systems, ranking, NLP/LLMs, Computer Vision, anomaly detection, forecasting, or classification. Experience with LLM inference, fine-tuning or other GenAI systems. Experience in teams where Data Scientists and ML Engineers own a substantial part of production implementation themselves.

Управление командой (40%). Распределение задач между разработчиками, контроль сроков и приоритетов.

Описание проекта: Банк. Направление: выпуск банковских карт Проект: миграция с Oracle на PostgreSQL Локация: Москва, 2 раза в неделю посещение офиса в сити в течение 6 месяцев. Требования: Ищем DBA с практическим опытом администрирования PostgreSQL / Postgres Pro для участия в проекте миграции с Oracle на PostgreSQL в направлении выпуска банковских карт. Основной фокус роли - стабильность, высокая доступность и производительность PostgreSQL в рамках миграции и дальнейшей эксплуатации. Требования: - PostgreSQL - Опыт администрирования PostgreSQL 12 и выше - не менее 2 лет. - Понимание архитектуры PostgreSQL: процессы, shared buffers, WAL. - Практический опыт построения и сопровождения отказоустойчивых PostgreSQL-кластеров. - Опыт работы с решениями высокой доступности: Streaming Replication, Patroni, pgPool-II, Corosync, Pacemaker. - Опыт настройки и управления физической и логической репликацией. - Опыт мониторинга и тонкой настройки производительности PostgreSQL с использованием EXPLAIN (ANALYZE, BUFFERS)/pg_stat_statements. - Опыт настройки критических параметров PostgreSQL, включая work_mem, shared_buffers и другие параметры производительности. - Знание инструментов резервного копирования и восстановления: pg_basebackup, pg_dump, pg_restore, pg_probackup. Общие технические навыки: - Опыт администрирования ПО в Linux: RHEL, CentOS, Ubuntu. - Знание Bash и/или Python для автоматизации. - Понимание принципов работы сетей: DNS, TCP/IP, Firewalls. - Опыт работы с системами мониторинга: Zabbix, Prometheus, Grafana. Задачи: - Администрирование, мониторинг и поддержка PostgreSQL / Postgres Pro. - Обеспечение высокой доступности критичных баз данных. - Участие в планировании и проведении миграций и обновлений СУБД. - Планирование и выполнение резервного копирования и восстановления данных (Backup & Recovery). - Мониторинг производительности, выявление и устранение узких мест. - Разработка и поддержка стандартов безопасности БД, управление правами доступа пользователей. - Написание скриптов для автоматизации рутинных задач. - Взаимодействие с командами разработки, помощь в оптимизации сложных SQL-запросов. - Администрирование и мониторинг интеграционного ПО: GoldenGate, Dataflot.

Компания Tango, предоставляющая платформу для живых трансляций и творческого самовыражения, ищет старшего менеджера по продукту. Работа предполагает гибридный формат с базированием в Варшаве, Польша. В обязанности входит управление продуктом, развитие функционала и улучшение пользовательского опыта в сфере социальных живых трансляций. Кандидат должен обладать опытом в управлении продуктами, пониманием рынка и технологий, связанных с live-streaming, а также навыками координации команд и стратегического планирования.

NestJS for 2+ years — modules, guards, interceptors, microservice transports. • Deep PostgreSQL: schema design, indexing, EXPLAIN ANALYZE, zero-downtime migrations, database-per-service pattern.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Account Abuse team is tasked with ensuring Anthropic's computing capacity is allocated fairly, minimizing resources available to bad actors and preventing them from coming back. As a software engineer on this team, you will build the machine learning systems that help us detect and stop abuse at scale. The ideal candidate can see things from opponents' perspectives, understand their means and motives, and anticipate their responses to countermeasures. We're looking for full stack machine learning engineers with experience across model training, productionization, and evaluation. You'll also look for ways to use Claude to speed up how these models get built and maintained. This is classical ML on structured and behavioral data. You do not need a deep learning background or knowledge of LLM internals. What matters is that you have trained and shipped models where the stakes are real, and that you care about building robust production systems as much as the model itself. A false positive here is a legitimate customer locked out, so measurement, precision, and safe rollout are part of the job. Key responsibilities Build and operate a feature computation platform that serves both model training and real-time scoring, with point-in-time correct training data and low-latency online retrieval Train, evaluate, and deploy models that detect account-level abuse and fraud, running them both offline and online Build tooling that automates more of the model development lifecycle, including using Claude to speed up feature development, training, and evaluation Make backtesting, shadow deployment, and staged rollout the default path to production, with monitoring for training / serving skew, drift, and adversarial adaptation Work with our data scientists and our Policy & Enforcement team to improve label coverage and quality Partner with product and platform teams to gather signals and integrate model decisions with minimal impact on their systems' latency, stability, or overall architecture Minimum qualifications Proficiency in Python and SQL Experience training machine learning models and deploying them to production Experience building data pipelines with a batch processing engine (e.g., Spark, Beam) and a workflow scheduler (e.g., Airflow) Working understanding of point-in-time correctness and training / serving skew, and how to prevent both Strong communication skills and ability to explain technical tradeoffs to non-technical stakeholders Preferred qualifications Experience building or operating a feature platform such as Chronon, Feast, or Tecton Experience with stream processing engines such as Flink, Beam / Dataflow, or Kafka Streams Experience training ML models in a production setting with demanding serving requirements, such as fraud, risk, or ranking Experience with tree-based models on tabular data Experience building unsupervised, clustering-based or graph-based detection systems to surface coordinated account abuse Experience in integrity, spam, fraud, or abuse detection Experience working with scarce, delayed, or noisy labels Experience with AutoML or other approaches to automating the ML workflow Care about the societal impacts of AI and want your work to make powerful systems safer 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: $320,000 — $485,000 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. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Cloud Inference team scales and optimizes Claude to serve the massive audiences of developers and enterprise companies across AWS, GCP, Azure, and future cloud service providers (CSPs). We own the end-to-end product of Claude on each cloud platform, from API integration and intelligent request routing to inference execution, capacity management, and day-to-day operations. Our engineers are extremely high leverage: we simultaneously drive multiple major revenue streams while optimizing one of Anthropic's most precious resources: compute. As we expand to more cloud platforms, the complexity of managing inference efficiently across providers with different hardware, networking stacks, and operational models grows significantly. We need product-minded backend engineers who can navigate these platform differences, design the services and abstractions that work across providers, and make architectural decisions that keep us reliable and cost-effective at massive scale. Your work will increase the scale at which our services operate, accelerate our ability to reliably launch new frontier models and innovative features to customers across all platforms, and ensure our LLMs meet rigorous safety, performance, and security standards. Key responsibilities Design, build, and own backend services and infrastructure that serve Claude across multiple CSPs, accounting for differences in compute hardware, networking, APIs, and operational models Work cross-functionally with internal inference, product API, systems, and security teams, among others, and with CSP partners to stand up the full serving stack on new cloud platforms, resolve operational issues, and influence provider roadmaps Build and evolve CI/CD automation systems, including validation and deployment pipelines, that reliably ship new model versions to millions of users across cloud platforms without regressions Design interfaces and tooling abstractions across CSPs that enable cost-effective inference management, scale across providers, and reduce per-platform complexity Contribute to capacity planning, autoscaling, and workload routing strategies that match supply with demand and direct requests to the most cost-effective accelerator and region Analyze observability data across providers to identify performance bottlenecks, cost anomalies, and regressions, and drive remediation based on real-world production workloads Minimum qualifications Have significant software engineering experience, with a strong background in high-performance, large-scale distributed systems serving millions of users Have experience building or operating services on at least one major cloud platform (AWS, GCP, or Azure), with exposure to Kubernetes, Infrastructure as Code, or container orchestration Are curious about LLM serving; prior inference or ML experience is not required Thrive in cross-functional collaboration with both internal teams and external partners Have experience working with external partners to align goals and deliver impact Are a fast learner who can quickly ramp up on new technologies, hardware platforms, and provider ecosystems Are highly autonomous and take ownership of problems end-to-end, including work that falls outside your job description Preferred qualifications Direct experience working with CSPs to scale infrastructure or products across multiple platforms, navigating differences in networking, security, privacy, billing, and managed service offerings Hands-on experience with capacity management, cost optimization, or resource planning at scale across heterogeneous environments Solid understanding of multi-region deployments, geographic routing, and global traffic management Proficiency in Python or Rust 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: $320,000 — $485,000 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. 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 About Cantina: Cantina Labs is a social AI company, developing a suite of advanced real-time models that push the boundaries of expression, personality, and realism. We bring characters to life, transforming how people tell stories, connect, and create. We build and power ecosystems. Cantina, our flagship social AI platform, is just the beginning. If you're excited about the potential AI has to shape human creativity and social interactions, join us in building the future! About the Role: Cantina is a place where people create AI characters and the videos those characters star in, and the catalog grows far faster than anyone can browse. Search and recommendations are what turn that catalog into a product: they decide which characters a new user meets in their first minute, which creators get discovered, and what appears in every feed, leaderboard, and discovery surface we ship. We are hiring a Senior Staff Software Engineer to own that area end to end — retrieval, ranking, relevance quality, and the roadmap for all three. This is the first dedicated hire for search and recommendations, so you will inherit a real production system serving live traffic along with a large amount of unclaimed ground, and you will set the technical direction rather than execute someone else’s. What you'll do: - Own the architecture and roadmap for search and recommendations end to end — query understanding, retrieval, ranking, and the surfaces they feed: search, discovery, the home feed, and our trending and creator leaderboards. - Make relevance a measured discipline rather than an opinion: define the quality metrics per surface, build the offline evaluation and golden-set tooling, and run the online experiments that decide whether a ranking change ships. - Design and evolve the ranking stack — engagement signal pipelines, decay and freshness models, and the pattern we use to combine pre-computed index-time signals with live re-ranking at query time. - Own OpenSearch in production: index and mapping design, reindex and cutover safety, query performance, cost, and the operational headroom of the clusters behind every discovery surface. - Build candidate generation and personalization for recommendation surfaces, and partner with data and ML on the feature pipelines and models behind them. - Work directly with Product and Trust & Safety on what “good” means for each surface — quality gates, cold-start behavior for brand-new creators and characters, and what must never be recommended. - Set the engineering standard for the area: instrumentation, flag-gated rollouts, and runbooks that let other teams change ranking behavior without breaking it. - Act as the technical point of contact for discovery across backend teams, and mentor the engineers whose work touches it. What you'll bring: - 10+ years building production software, with substantial depth in search, ranking, recommendations, or ML-driven relevance on a consumer-scale product. - Hands-on expertise with a production search engine — OpenSearch, Elasticsearch, Lucene, Vespa, or similar — covering index and analyzer design, relevance tuning, and operating the cluster, not only querying it. - A rigorous approach to relevance measurement: you have owned offline evaluation, golden sets, and A/B or interleaving frameworks, and you can explain what moved a metric and why. - Fluency across the recommender stack — candidate generation, feature pipelines, embedding retrieval, re-ranking — and a working understanding of the serving constraints that make an offline win fail online. - Strong distributed systems and backend fundamentals, with production experience in Go or a comparable systems language, and comfort in the data layer behind it (SQL warehouses, streaming and batch pipelines). - Demonstrated ownership of an ambiguous area: you have picked up something with no dedicated owner, decided what mattered, and can show the result. - Clear written communication and the judgment to work with Product on real tradeoffs between relevance, freshness, safety, and latency. - Preferred: experience with AI-generated or rapidly growing content catalogs, severe cold-start conditions, or ranking under trust-and-safety constraints. Compensation: The anticipated annual base salary range for this role is between $250,000 - $320,000 (USD). When determining compensation, a number of factors will be considered, including skills, experience, job scope, location, and competitive compensation market data.   Benefits: - Competitive salary and generous company equity - Medical, dental, and vision insurance – 99.99% of premiums covered by Cantina - 42 days of paid time off, including: - 15 PTO days - 10 sick days - 15 company holidays - 2 floating holidays - Generous parental leave & fertility support - 401(k) retirement savings plan - Lifestyle spending account – $500/month to use however you’d like - Complimentary lunch and snacks for in-office employees - One Medical membership, and more!

Location: United States Workplace: Remote THE ROLE ClickHouse is the fastest, most resource-efficient open-source database for real-time analytics, and ClickHouse Cloud is growing across every region and segment. Our Solution Architects (SAs) are the technical heart of that growth: They run the proofs of concept, defend the architecture, and win the room against the largest data platforms in the world. You will be the single owner of global technical sales enablement and SA onboarding at ClickHouse. You are integral in deciding what a ClickHouse SA needs to know, say and do in order to be successful, and you wholly own the build out of the programs to get them there. You will measure everything, incorporate AI, and drive real results that time to revenue impact. You are the connective tissue between Product, Product Marketing, Sales leadership, SA leadership, and the field. This is a Principal-level individual contributor role. You lead through influence, the systems you build, and the credibility you earn. WHAT YOU'LL OWN GLOBAL SA ONBOARDING - Design and run the end-to-end onboarding program for new SAs across AMER, EMEA, and APJ. These include but are not limited to: Technical foundations, ClickHouse architecture and internals, demo and POC craft, discovery and objection handling, competitive positioning, and our sales process. - Define and certify ramp. Set clear 30/60/90-day milestones, build the certification and shadow-to-lead progression, and publish time-to-productivity as a metric leadership can see and trust. - Make onboarding regionally real. Adapt the global program to how each theater sells, and coordinate cohort schedules, mentors, and live sessions across time zones. TECHNICAL SALES ENABLEMENT STRATEGY AND EVERBOARDING - Own the global technical enablement plan and its calendar. This includes the quarterly priorities, the programs behind them, and the communication that keeps SA and Sales leadership aligned on what is shipping and why. - Run product-launch readiness for the field. Partner with Product and PMM so SAs have talk tracks, demo environments, hands-on labs, and competitive positioning before General Availability. - Build the competitive and architecture curriculum. Deep dives, battlecards, and objection-handling playbooks against the platforms we meet most (cloud data warehouses, search and observability stacks, and incumbent OLAP systems). - Extend enablement to adjacent technical roles as needed: Account Executives on technical fundamentals, Support on the sales motion, and partners on positioning. DIAGNOSE, THEN PRESCRIBE - Start from signals, not requests. Use call recordings, CRM data, win/loss, POC outcomes, certification results, and conversations with SA leaders to find the skill gaps that actually cost us deals, then classify and prioritize them with data. - Pick the right modality for the gap: hands-on lab, self-serve path, live workshop, AI role-play, peer teaching, or in-the-moment coaching. Measure behavior change and deal outcomes. - Close the loop. Systematically capture what is breaking in the field (friction, lost deals, recurring objections) and route it to Product, PMM, and Sales leadership as actionable recommendations. BUILD AT SCALE - Own the enablement toolchain: the LMS or learning hub, content repositories, certification tracking, and reporting. Keep a single source of truth for what is current. - Activate SME communities. Identify and support the SAs who are already the best at something, and give them the structure to teach it peer-to-peer across regions. STAY IN THE FIELD - Spend roughly 10% of your time in customer-facing moments by joining POCs, account reviews, and live coaching. - Facilitate. You will personally deliver live sessions, virtually and in person, at onboarding cohorts, regional kickoffs, and Kickoff events. OPERATE LIKE AN OWNER - Report on readiness. Define the KPIs (ramp time, certification rates, POC win rate, technical win contribution, workshop effectiveness) and present them in monthly and quarterly business reviews. - Manage the portfolio. Run multiple programs in parallel, protect the plan from ad-hoc drift, and say no with a reason and an alternative. - Expand the charter. This role will grow, potentially into hiring and leading a team, owning SKO technical tracks, partner enablement, or a technical certification program for customers. WHAT SUCCESS LOOKS LIKE IN THE FIRST YEAR - Every new SA worldwide goes through one global onboarding program with a defined ramp, and time-to-first-solo-POC is measured and trending down. - SAs are enabled on every major launch before GA, with demo environments and competitive positioning ready on day one. - Technical enablement priorities are set from field data and reviewed with SA and Sales leadership on a fixed cadence, and leadership can point to the deals and metrics that moved. - A living competitive and architecture curriculum exists, is current, and is used by SAs and, increasingly, by AEs. - SA leaders describe you as part of their extended leadership team, not a service desk. WHAT YOU BRING REQUIRED - 3+ years in a quota-carrying role. You have owned a number as an Account Executive, quota-carrying Solutions Engineer, or equivalent, and you know what it feels like when the quarter is on the line. - 8+ years total across solutions engineering, technical pre-sales, or technical enablement at an enterprise software or data infrastructure company, including experience building and running enablement or onboarding programs. - Deep hands-on data fluency: strong SQL, knowledge of OLAP/analytical databases, data warehousing architectures, streaming and ingestion pipelines, and at least one major cloud. You can run a demo, debug a lab, and read a query plan. - You have been the engineer in the room. You have run POCs, handled objections live, and defended a technical position against a well-funded competitor. - Proven program design and delivery: Needs analysis, curriculum design, facilitation (virtual and in person), certification, and measurement for a technical, global audience. - A self-starter with a bias for building. You create the plan when there is none, you ship version one before it is perfect, and you improve it from evidence. - Leads through influence. You can secure sponsorship from VPs, align cross-functional peers, and hold the field to a standard without a reporting line. - Data-driven and operational: comfortable pulling your own CRM and call-intelligence reports, defining KPIs, and debating the numbers with stakeholders. - Exceptional communicator. You make complex technical concepts accessible without dumbing them down, in writing and on stage. - Global mindset. Experience working across AMER, EMEA, and APJ time zones, and willingness to travel up to ~25% for cohorts, kickoffs, and field time. NICE TO HAVE - Hands-on experience with ClickHouse. - Experience at a high-growth infrastructure company through a major product launch or rapid SA headcount expansion. - Background in both pre-sales and post-sales technical roles. - Demonstrated use of AI tooling to automate content creation, build internal tools, or scale enablement beyond live delivery. - Familiarity with a structured sales methodology (MEDDPICC, Command of the Message, or similar) and with adult-learning or instructional-design principles. - Experience building SME networks, peer-learning cohorts, or technical certification programs. PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new team member who joins our company receives stock options. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: Belgrade, Serbia Workplace: remote At Novakid, we are on a mission to build the world’s best online education platform for children. With over 100,000 students and 4,500 teachers, Novakid is already one of the most popular language learning platforms for children aged 4–12 across Europe and Asia. Novakid is looking for a strong commercial leader to grow revenue from our existing customer base. The immediate challenge is to build a scalable cross-sell and upsell engine for additional courses, products and services. What you will own Cross-sell and upsell revenue CRM campaigns, segmentation and lifecycle monetization Add-on sales through the Parent Area and other customer touchpoints Offer, bundle, pricing and promotion experiments Collaboration with Product to improve purchase journeys and conversion Collaboration with Content to adapt or create products customers are willing to buy Sales processes supporting monetization opportunities Revenue, conversion, ARPU and experiment performance Who we are looking for Someone who: Has successfully grown upsell, cross-sell or existing-customer revenue Thinks commercially: revenue, funnel, conversion, ARPU Is strong in CRM and lifecycle monetization Can work effectively with Product, Content and Sales Tests quickly, measures results and scales what works Has strong leadership potential and can build teams and processes First challenge Turn Novakid add-ons into a meaningful and scalable revenue stream by building a repeatable monetization system across CRM, Sales and Product. What We Offer 100% remote work (core hours GMT+3). A friendly, international team that values collaboration and innovation. Unlimited paid holidays — we care about outcomes, not clock hours.

Location: Worldwide Workplace: hybrid Position Summary: Responsible for care and maintenance of electrical and electronics equipment on board. All duties and responsibilities are to be performed in accordance with ISM/ISO and SOM standards, USPH guidelines, Environmental, and Safety policies. Each shipboard employee may be required to perform all functions in various service venues and throughout the ship. In accordance with Company policy, each employee conducts oneself in a professional and courteous manner at all times. This consists of physical and verbal interactions with guests or fellow shipboard employees and/or in the presence of guest contact and Crew areas. GFM places the highest value on the environment and all crewmembers shall do the same. This position shall work with supervisors and subordinates to understand and comply with the company's environmental policies and be committed to safeguarding the environment. He/shall direct and immediately inform his/her immediate supervisor if any environmental system does not function properly onboard. The Chief Electrician is the head of all electricians and electronic personnel on board. He will be responsible to the Chief Engineer for the care and maintenance of all electrical and electronic machinery, equipment and controls, and also for the use and ordering of electrical and electronic spare parts and consumables. He shall maintain a routine system for testing, checking, and maintaining various electrical and electronic equipment. May be required to tests and maintain on a daily, weekly, and monthly basis as per SOLAS and ISM regulations, all emergency supply sources (Accumulators, batteries and uninterrupted power supply) of all emergency equipment located in the Bridge and Radio Room.- the Chief Electrician - batteries, UPS, Bridge supply system etc. Employee may be required to perform other job related duties assigned by their supervisor, management or the Chief Engineer. Financial Responsibilities: Motivational Responsibilities: He/she shall work with the Chief Engineer to ensure that all environmental systems within his department are operated and maintained to A.B.C. (Above and Beyond Compliance) standards. He/she shall work with the Chief Engineer to ensure that all waste streams within his department are properly treated and disposed of following applicable international regulations and company requirements. Acquaint the 1st Electrical Engineer(s), and to a lesser extent, the other Electricians, with all aspects of his duties and responsibilities, and keep them generally informed of the condition of the electrical division. Ensure that at least two Electrician are assigned to the work area when work is required on High Voltage Systems. One of the two Electricians shall be designated the Safety Electrician and be in possession of a High Voltage Certificate. The Safety Electrical Engineer shall be assigned by the Chief Electrician and shall be responsible for completing the high voltage 'Permit to Work' and ensuring that safety procedures and working practices are in accordance, as a minimum, with the 'High Voltage Working Instructions and Conditions'. Technical Responsibilities: Additional routines and work as assigned the Chief Engineer. Navigation Equipment, including follow up of all service/work by contractors. Qualifications: Minimum hiring, language and physical requirements to perform the job Hiring_Racluirements: The position is responsible for cost containment through the proper use, handling and maintenance of chemicals, supplies and equipment. Lead and coordinate the repair and maintenance work, detailing personnel to their various duties and make arrangements to comply with the requests from the other departments for assistance. He shall ensure the necessary safety measures are taken to protect personnel and property. Ensure that at least one of the Electrician aboard ship has a High Voltage Certificate. Training of Electricians and Assistant Electrician(s) in safety procedures and assigned duties. Member of the Shipboard Maintenance Team. A work report book should be updated daily with detailed information, and kept in the Chief Electrician 's office for his reference. The Chief Electrician shall ensure that the electrical plant, including elevators, and associated systems are properly operated and maintained in accordance with the applicable regulations. These duties shall include all electrical equipment and machinery on board. Be present in the Engine Control Room during maneuvering, drills, and emergencies. Update maintenance work on the Planned Maintenance System. Assist the Chief Engineer with the department budget proposals, keep a thorough check on all expenditures and base his requirements and recommendations on sound economic values. Daily communication with the Navigation Officers regarding the state of the bridge equipment, including responding to any comments in the "electrical fault" log book located on the Bridge. All entertainment systems, like Show lights, Audio/ Video, including related antenna systems. Stage rigging equipment, including platform lifts and curtains. Telephone exchanges, including related equipment like telephone sets and personal pagers. All UPS systems including batteries and emergency lighting UPS. Camera Surveillance System. Public Address System. Fire Detection System. Minimum of two years previously in similar position. Ability to apply customer service skills, according to Pillars of Safety, Service and Style, when interacting with guests and coworkers. Completion of high school or basic education equivalency preferred. STCW95 and social responsibility training completed Electrician's Certification in accordance with STCW Completed Advanced Fire Fighting training Previous experience as a ship's electrician on Company vessels Ability to interpret ship's electric drawings and prepare job orders. Good communication/social skills. Ability to plan projects, assign priorities, resolve problems and to work with out supervision. Language Requirements: Physical Requirements: Ability to supervise others. Strong character Solid professional ethics Well tempered and well mannered. Ability to speak English clearly, distinctly and cordially with guests. Ability to read and write English in order to understand and interpret written procedures. This includes the ability to give and receive instructions in written and verbal forms and to effectively present information and respond to questions from guests, supervisors and co-workers. While performing the duties of this job, the employee is regularly required to stand; walk; use hands to touch, handle, or feel; reach with hands and arms; talk or hear; and taste or smell. The employee must frequently lift and/or move up to 50 pounds. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception, and ability to adjust focus. All shipboard employees must be physically able to participate in emergency life saving procedures and drills. Full use and range of arms and legs as well as full visual, verbal and hearing abilities are required to receive and give instructions in the event of an emergency including the lowering of lifeboats. Ability to lift and/or move up to 50 pounds. ASAP Rotation: 3:3

Location: Ulaanbaatar, Mongolia Workplace: fully About Global University Systems (GUS) Global University Systems is an international education group that empowers students to transform their lives through education. We believe education drives careers, lives, and society forward, enabling a brighter future for all. Our network of 30 institutions offers the broadest range of industry-relevant skills through inclusive, accessible, and digital-first learning. We currently educate around 122,000 students on campuses worldwide and have 20M+ unique subscribers to our courses. Our global ecosystem powers accessible digital learning and academic achievement. Position The Business Development Manager for International Student Recruitment will oversee all student recruitment activities, business development activities, account management, and marketing events for B2B channels across the country or region you will manage. You will collaborate with Company Directors to develop B2B channels and implement marketing and sales strategies to promote international student recruitment for GUS. You will be representing one of our universities or colleges located in either Europe, North America, or Asia. Requirements Essential Criteria • You will have experience in international student recruitment for higher education in the US. • You have an established and relevant agency network and solid relationships with key stakeholders within these agencies. • A solid understanding of industry trends is essential to inform the group’s strategic planning and forecasting. • You will have developed and trained education agents on how to promote the brand you represent. • You will have experience sourcing agents from fairs, business trips, enquiries, referrals, and general searches in line with business development responsibilities. • You will have experience generating new revenue from existing streams and accounts, as well as identifying new opportunities. • You will have a proven track record of assisting in identifying, supporting, and developing potential business partners and growing existing client relationships. • You will have experience performing client research, including (but not limited to) meeting and engaging with key players in the industry. • You will be a highly motivated individual who strives for success in all areas. • You are confident in delivering workshops and presentations, hosting conferences, and being in front of the camera. Desirable Criteria • Salesforce or database management experience. • We will consider applicants who have represented an institution directly (located anywhere within your region) or who have significant agency experience where they have managed a sub-network of agents. Location The position is home-based with travel. Ideally, you will be located within your country (Mongolia) and able to travel with ease, as your main marketing activities will be held in this area (where agents are based). Other Information Please note this position is only available on our consultancy agreement. The post holder may be asked to undertake different or additional duties in line with business requirements at the request of their line manager. There is an expectation that all employees will maintain the values of the Group and comply with the Code of Conduct, as well as equality and diversity, health and safety, and safeguarding policies.