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Location: Sydney, Australia About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic’s APAC go-to-market organisation is the fastest-growing part of our international business, spanning markets with distinct languages, cultures and buying styles. Today, enablement for the region is delivered by our global and EMEA teams. As we scale in APAC, we are establishing an initial in-region enablement presence, based in Sydney and supporting the field across the region. As Enablement Lead, you will be hands-on in getting the APAC field ready: onboarding, ongoing skill development, manager coaching support and launch readiness, across GTM functions, not just sales. You will spend most of your time in the room, running sessions, building programmes and working directly with sellers and managers, in the time zones and languages where customer conversations happen. This is a build role with a global spine. You inherit a working global and international enablement engine. Your job is to adapt it for APAC, deliver it across the region, and feed what you learn back into the international and global programme. How we work: adults learn by doing, so we build sessions around live activity: practice, reflection, real customer scenarios. The measure is not what was covered in the room. It is what changes a week later in how people think, decide and sell. This takes creativity and a solid understanding of how adults learn, applied at speed. The frontier moves quickly and the field is scaling fast. Much of the work is unlearning: helping experienced sellers let go of pre-AI habits, not just teaching new ones. AI is what makes this scalable: endless practice partners, personalised scenarios from real deals, feedback minutes after a call. You will use it that way, not to generate more content. Key responsibilities Set up the APAC enablement rhythm: in-region onboarding cohorts, live practice-based sessions in APAC time zones, and a feedback loop into the global programme Adapt the international portfolio for APAC, where content for several markets needs to be written and translated ahead of delivery Personally design and facilitate deal walkthroughs, role-plays and customer-conversation rehearsal, favouring practice over presentation Partner with regional GTM leaders to build a coaching standard that scales as the manager layer grows Own launch readiness for the region, so that when a new model or product ships, the APAC field is certified and conversation-ready in the same week cycle as everyone else Build the measurement habit: track what the field does differently afterwards, not content shipped or attendance Minimum qualifications 8+ years in GTM enablement, sales productivity or similar roles, including experience leading or running enablement programmes Experience delivering GTM enablement in APAC, ideally across more than one of the region’s markets Experience influencing beyond your own team or region, such as a programme adopted elsewhere or a senior stakeholder whose decision you changed Hands-on track record designing and running practice-first enablement, measured by changes in field behaviour A working understanding of how adults learn, and comfort helping experienced sellers unlearn pre-AI habits Creativity with AI in your craft: personalised practice, real-deal scenarios and fast feedback rather than more content Experience owning programmes end to end, from design through delivery and measurement Experience enabling a field across languages and cultures, and knowing what breaks when English-first content ships as-is Comfort working with sales leaders as a peer, including pipeline reviews, deal inspection and forecast conversations Good judgement on when to adapt global programmes and when to adopt them as-is Strong candidates may also Have held both a global and an APAC enablement role Have run enablement delivered across multiple APAC markets Have helped build or scale an enablement function Have carried a quota or led sellers earlier in their career Have enablement experience in AI, developer platforms or technical products sold to both executives and builders Have built manager or coaching programmes, not just individual-contributor enablement 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: Mumbai, India About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Applied AI team member at Anthropic India, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping large enterprises across India and the Asia-Pacific region understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability. Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems. Responsibilities: Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success Support customers building with both the Claude API and Claude for Work Create and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases Identify common integration patterns and contribute insights back to our Product and Engineering teams Travel occasionally within India and the APAC region to customer sites for workshops, technical deep dives, and relationship building Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns Collaborate across time zones with global teams while serving as the technical expert for the India market You may be a good fit if you have: 10+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager Experience working with enterprise customers in India or the APAC region, navigating complex buying cycles involving multiple stakeholders Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders Experience designing scalable cloud architectures and integrating with enterprise systems Comfortable with Python Familiarity with common LLM frameworks and tools or a background in machine learning or data science Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities A love of teaching, mentoring, and helping others succeed Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems Ability to work effectively across cultures and time zones as part of a global team 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.

СберЗдоровье — аккредитованная IT-компания и одна из крупнейших Digital Health платформ в России. Компания развивает новое направление AI-native продуктов: мобильное приложение, ИИ-помощник, персонализированный риск-профиль и сервисы для улучшения понимания здоровья пользователя. Ищут Middle / Senior Python Backend Developer. Основной фокус роли — backend-сервисы, API, интеграции, работа с данными пользователя и production-контур для AI-сценариев. Роль не связана с ML Engineer или research, а требует сильной backend-инженерии с использованием FastAPI, Pydantic, PostgreSQL, Redis, интеграций, надежности, безопасности и observability. Работа в кросс-функциональной команде с ML, Mobile, Frontend/PWA, QA, SA и Product. Задачи: — Разрабатывать и проектировать backend-сервисы на Python / FastAPI. — Проектировать и поддерживать REST API для мобильного приложения, PWA, риск-профиля и ИИ-помощника. — Описывать и поддерживать контракты API: request/response schemas, validation, error model, versioning. — Работать с Pydantic, PostgreSQL, Redis и при необходимости S3-compatible storage. — Интегрироваться с AI/ML-слоем: n8n-прототипы, FastAPI/FastMCP-сервисы, LLM API, RAG/context, Qdrant, traces. — Строить observability: structured logs, trace/request id, metrics, dashboards, error tracking. — Писать поддерживаемый код, покрывать критичную логику тестами, участвовать в code review и технических обсуждениях. Требования: — Опыт backend-разработки на Python от 3 лет. — Хорошая база в технологиях веба: HTTP, контейнеры, хранение, веб-серверы. — Практический опыт разработки production API на FastAPI, Django, Flask или аналогичном backend-фреймворке; FastAPI будет сильным плюсом. — Уверенное владение Python. — Здравый смысл в использовании ИИ-агентов. — Хорошее понимание PostgreSQL: схемы, связи, индексы, транзакции, миграции, профилирование запросов. — Опыт проектирования REST API и умение договариваться о контрактах с mobile/frontend/SA/QA. — Опыт работы с микросервисами. — Умение писать тесты для критичной backend-логики. — Готовность работать в продуктовой команде с быстро меняющимися требованиями, где API влияет на mobile, PWA и AI-сценарии. Будет плюсом: — Опыт работы с очередями: Kafka/RabbitMQ, Celery. — Понимание зоны ответственности AI/ML и классического Python-сервиса. — Знание AI/ML инструментов и подходов. — Опыт в MedTech, HealthTech, FinTech или других доменах с чувствительными данными. Требуется инженер, который понимает продуктовый сценарий, умеет уточнять требования, думает контрактами, состояниями, ошибками и edge cases, строит надежные интеграции с backend, mobile, PWA и AI-слоем, пишет поддерживаемый код, умеет работать с логами, trace id и production-инцидентами, аккуратно относится к медицинским и персональным данным. Условия: — Возможность строить AI-native health-продукт с нуля. — Быстрый путь от backend-решения до мобильного пользовательского сценария. — Сложные задачи на стыке backend, AI, медицинского контекста и пользовательских данных. — Работа в кросс-функциональной команде с Product, TL, ML, Mobile, Frontend/PWA, QA, SA, DevOps/MLOps и медицинскими экспертами. — Удаленный формат внутри РФ или офис в Москве. — Корпоративная техника. — Медицинская программа с телемедициной, очными приемами, психологами, стоматологией, лабораторными и инструментальными диагностиками. — Оплачиваемые курсы английского языка. — СберУниверситет и оплата профильного обучения и курсов. — Поддержка спорта и wellbeing-программы.

About us: Oki is the largest language-learning app in Central Asia with 800K+ users. It is a fast-growing Silicon Valley startup building a global language-learning product. Creators working directly with the team have generated 400M+ views and gained 400K+ followers on their personal accounts. About position: This role is for those who want to become influencers or build a serious career as creators. The candidate will become one of the recurring faces of Oki's corporate social accounts. The company will provide training and growth opportunities to build accounts to hundreds of thousands of followers within a few months and create videos capable of reaching millions of views. Access to formats, references, systems, and feedback used to grow creators before will be provided. What you'll get: — Paid hands-on creator experience — Training in viral short-form content — Proven hooks, references and formats — Constant feedback from the growth team — Real international accounts to grow — Strong portfolio and case studies — Startup experience on a global product — Potential path to full-time Who we're looking for: — 18+ — Speak at least 2 languages — Natural and confident on camera — Basic filming/editing skills in CapCut, TikTok or similar — iPhone 13 Pro Max, comparable Android flagship or similar-quality camera — Charismatic, energetic and reliable — Genuinely want to grow as a creator/influencer A big following or years of experience are NOT required. To apply, message TG: t.me/Alidar01 http://t.me/Alidar01 with: — Name, age & country/city — Languages + approximate level — Links to your socials, if you have them — Phone/camera model — A few words about yourself Best option: send a 30–60 second vertical intro video telling about yourself. No CV. No long cover letter.

Location: Australia Workplace: Remote At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 ABOUT THE ROLE ClickUp is hiring a Strategic Solutions Engineer to accelerate partner-sourced and partner-influenced revenue across the APAC region. This role sits at the intersection of enterprise pre-sales, partner enablement, and solution architecture. You will serve as the technical force multiplier that enables upmarket partners (Solution Partners, GSIs, and enterprise resellers) to independently acquire, implement, and expand ClickUp within their customer base, driving ARR growth and net retention.   Your primary mandate is to increase the volume and quality of revenue that flows through partners, working alongside Partner Managers and Account Executives. You are a builder-scaler: standing up enablement programs from a proven playbook, iterating on them, and scaling them to drive repeatable partner-led revenue.   KEY RESPONSIBILITIES - Partner Enablement & Technical Development: Design and deliver structured enablement programs (workflow mapping, narrative decks, AI Agents, AI workflows, business process mapping, competitive positioning), coach partners on discovery, demos, solution design, and pricing, and drive partner certification and self-sufficiency across APAC. - Co-Selling & Revenue: Serve as technical lead on partner-sourced deals from discovery through POC to post-sales handoff, coach partners to run standard deals independently, and tie all activities to measurable revenue outcomes (partner-sourced and partner-influenced iARR, win rate, deal velocity). - Direct Customer Engagement: Support Account Executives on strategic direct opportunities, leading discovery, solution design, demos, and technical evaluations alongside the partner motion. - Partner Acquisition & Development: Lead technical demonstrations and deep-dives for prospective partners, support recruitment as the technical closer, and elevate existing partners by showcasing new platform capabilities that expand their practice opportunity. - AI & Certified Agents: Enable partners to identify, scope, and sell Certified Agent opportunities, deliver AI transformation workshops, and serve as the regional bridge between the internal AI/Agent team and the partner ecosystem. - Events & Marketing: Lead or support partner-driven events (workshops, in-market tours, executive dinners), develop enablement content, and contribute to partner case studies and proof points. - Reseller-Model Support: Support partner-owned billing, procurement, and renewal workflows, enable partners on expansion motions, and coordinate with Professional Services on co-delivery oversight and escalation paths. - Internal Collaboration: Work cross-functionally with Professional Services, Customer Success, Product, Engineering, and global Solutions Engineering teams to resolve technical questions, assist with RFPs, and feed partner insights back into product and process improvements.   QUALIFICATIONS - 8+ years of experience in enterprise pre-sales, solutions engineering, sales engineering, solutions consulting, or a comparable customer-facing technical role. - 2+ years supporting or enabling channel partners, VARs, system integrators, or working in a partner-led go-to-market motion. - Demonstrated ability to build programs from scratch (not just execute existing ones). - Strong presentation, storytelling, and workshop facilitation skills, with the ability to connect product capabilities and technical details to business outcomes for different audiences. - Experience designing or explaining solutions involving APIs, web services, automation, integrations, workflow configuration, or lightweight technical validation. - Strong background in business process mapping, including the ability to analyse, document, and improve complex business processes across diverse environments. - Ability to create credibility with partners, AEs, and customers, handle objections thoughtfully, and act as a trusted advisor. - Hands-on experience with AI & LLMs, integration platforms (Unito, Workato, Zapier, Integromat), web services, and APIs. - Strong commercial judgment, structured problem-solving, and comfort managing multiple concurrent priorities with urgency and limited supervision. - Up to 50% of travel is required for this role. LOCATION - This role is open to candidates across Australia, with Sydney, Melbourne or Brisbane preferred. Equal Opportunity Employer ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin. Privacy Notice ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. https://clickup.com/careers-terms/candidate-privacy-notice If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice https://t333.s.clickup-attachments-stg.com/t333/d9a53ce2-6d2c-48cd-84b1-ed4e525f9613/Philippine%20Data%20Privacy%20Notice_2024.pdf?view=open for further details. Visa Sponsorship Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions. Fraud Alert ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com. AI Processing Notice ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.

Location: Madrid, Spain Play it. Break it. Perfect it. At Universally Speaking, you don’t just play games you make them flawless. We’re looking for linguistic perfectionists who live for precision and care deeply about great gaming experiences. You’ll dive into new worlds, spot every linguistic bug, and make sure every word, phrase, and line feels right. It’s hands-on, it’s fast-paced, and it’s all about ensuring players across the globe get the best possible version of the game. What you’ll be doing •You’ll work side by side with talented testers, translators, and developers, reporting issues clearly and working relentlessly to make sure they’re fixed. If you’re motivated by detail, passionate about games, and ready to be part of something that shapes how players experience them you’ll fit right in. •You’ll be the guardian of language in every game you touch making sure every word, menu, and in-game message feels natural, accurate, and culturally right. •You’ll test games like a pro, following our proven Universally Speaking LQA methods that define the industry standard for linguistic quality. Every detail counts, and you’ll make sure nothing slips through. •Your reports will make a difference: you’ll use professional bug databases to describe linguistic issues clearly, track progress, and verify that fixes hit the mark. •You’ll evolve from tester to trusted LQA expert across everything from indie gems to AAA blockbusters owning your projects and mastering the full testing cycle from start to finish. •You’ll write and refine test cases, document your findings, and set the bar for best practices in LQA. •You’ll collaborate with developers and fellow testers early in the process, helping shape how each game’s localisation is tested and improved. •And beyond that, you’ll constantly look for smarter, faster, better ways to do things taking initiative to optimize workflows, share knowledge, and raise the standard for everyone around you. Requirements What you’ll bring to the game •You’re someone who notices the smallest details others miss, and you can’t rest until everything’s perfect. You speak Czech like it’s second nature and handle English with confidence, both written and spoken. •Games are your thing you live them, breathe them, and you care how they sound, look, and feel. You thrive in a team that moves fast and works under pressure, never losing focus or quality along the way. •You’re proactive, determined, and naturally curious about how things work. You use that curiosity to make improvements and find better ways to deliver great results. •You’re nimble with tech: comfortable using databases, spreadsheets, testing tools, and the usual suspects in MS Office. Organisation and accuracy are your companions. •And of course you already have the right to work in Spain. This role needs you in the office, part of the action, not remote. Extra Points for •Experience in LQA, translation, or proofreading you’ve seen how words take shape across languages. •Familiarity with translation systems. •Previous use of test case management tools or text editing platforms. •An understanding of gaming trends and the culture behind them. •A degree in linguistics or a related field it’s great background, but not a deal-breaker. What's in it for you? •A chance to turn your passion for games into a full-time career getting hands-on with titles before anyone else does. •A dynamic, international team where creativity and precision go hand in hand. You’ll work with people who share your obsession with quality and detail. •Full-time stability with a Monday–Friday schedule, so your evenings and weekends stay yours. •An onsite environment that keeps the buzz alive collaborate face to face with talented testers and developers in our modern office at Alvento Business Park, Madrid. •Opportunities to grow your skills through real-world experience in LQA, translation technology, and project management. •A culture built around teamwork, learning, and the satisfaction of knowing you help shape how millions of players experience their favourite games. Benefits We don’t just make games better we make work better too. At Universally Speaking Madrid, you’ll enjoy benefits designed to support your growth, wellbeing, and career journey. •Free daily transportation to and from the office get to work with ease. •Career growth and learning opportunities to help you level up professionally. •Paid training with leading specialists in the games industry learn from the best. •A culture built on diversity, equity, and inclusion your voice always matters here. •A rewarding referral program bring great people in and get recognised for it. Ready to join the game? If reading this made you think, “That’s me” then we want to hear from you. Apply now and start shaping the worlds players will explore next. At Universally Speaking, we’re always scouting for language talent from every corner of the globe. So even if this role isn’t a perfect match, share it with your friends who live for games and language as much as you do because we’re always expanding our team of multilingual heroes. Your journey starts here. Let’s make games unforgettable, together. At Universally Speaking, diversity makes our worlds richer. We’re proud to be an equal opportunity employer welcoming every background, culture, and perspective. What matters to us is your skill, passion, and drive to make great games even better. So whoever you are, wherever you’re from, if you love language and games, you’ll find a place here to grow, create, and belong.

Location: Indianapolis, United States; Chicago, United States; Cincinnati, United States; Columbus, United States; West Lafayette, United States; Bloomington, United States Location: Indianapolis, IN Metro (Hybrid / 3-Day Onsite) (Open to Regional/EST Candidates with Onsite Travel) Contract Type: Contractor Full-Time / Enterprise Project Engagement (Outsourced via Xenon7) About Xenon7 Where elite tech talent meets world-class opportunities! At Xenon7, we work with leading enterprise clients and innovative startups on high-impact projects across Data, AI, Cloud, and Software Engineering. Our expertise in AI solution architecture and specialized technical talent allows us to partner with enterprise leaders on transformative initiatives, driving innovation and business growth. Job Summary We are seeking a Senior Machine Learning Engineer with extensive experience in production MLOps, model deployment, and system scaling to drive ML engineering initiatives for a top-tier life sciences client. This role sits at the critical intersection of production ML infrastructure, life science research, and manufacturing process engineering. In this position, you will own the architectural design and hands-on execution of production ML systems, model integration APIs, and scalable MLOps pipelines. You will bridge complex domains—from computational biology, small and large molecule research, and clinical trial analytics to active pharmaceutical ingredient (API) manufacturing processes, batch optimization, and industrial automation ML. Operating in a 3-day onsite hybrid capacity in Indianapolis, you will collaborate directly with process engineers, life science researchers, and platform engineering teams to build robust, low-latency ML systems that scale across the enterprise. Key Responsibilities Production MLOps & Systems Architecture Design, deploy, and maintain robust, production-grade MLOps pipelines and infrastructure for continuous model training, deployment, versioning, and monitoring. Implement automated model drift detection, performance monitoring, and self-healing inference pipelines in high-reliability environments. Process Engineering & Manufacturing ML Integration Operationalize and integrate production ML models into operational technology (OT), API manufacturing workflows, and chemical process control systems. Deploy predictive models for batch processing, process control optimization, real-time quality assurance, and facility automation use cases. Scalable Inference & System Integration Build low-latency, high-throughput microservices and serving architectures (FastAPI, Triton Inference Server, TorchServe) for model deployment into live production applications. Containerize and orchestrate ML workloads across distributed cloud and edge systems using Kubernetes, Docker, and modern pipeline engines (Kubeflow, MLflow). Technical Leadership & Domain Alignment Partner directly with chemical engineers, computational biologists, and software architects to translate operational friction into production-ready ML engineering solutions. Establish enterprise MLOps standards, model governance, and CI/CD best practices across the full machine learning operational lifecycle. Requirements Experience & Mindset Experience: Senior-level proficiency (10–20+ years) in software engineering, MLOps, production ML system deployment, and infrastructure scaling. Domain Adaptability: Demonstrated ability to deploy and maintain production ML systems across non-standard, highly specialized domains (e.g., transition between process/chemical engineering ML and clinical/scientific research applications). Location & Work Auth: Must hold unrestricted US Work Authorization (no sponsorship available) and be able to work 3 days per week onsite in the Indianapolis, IN area. Culture & Communication: Pragmatic problem-solving mindset, strong collaborative drive, and the ability to articulate complex MLOps architecture to cross-functional engineering teams. Must-Have Technical Stack Languages & Frameworks: Advanced Python, C++, and deep proficiency with PyTorch, TensorFlow, or Scikit-learn. MLOps & Serving: Proven expertise with Triton Inference Server, TorchServe, MLflow, Kubeflow, or Databricks ML runtime. Infrastructure & Orchestration: Hands-on expertise with Kubernetes, Docker, CI/CD pipelines, FastAPI/gRPC, and cloud platform ecosystems (AWS/Azure). Monitoring & Integration: Experience building real-time model monitoring, feature stores, drift detection systems, and integration with enterprise data pipelines. Domain Competency (Scientific & Process Focus) Deep exposure to applying ML models in either scientific/clinical domains (drug discovery, small/large molecule, computational biology) OR chemical/process engineering environments (API manufacturing, batch processing, SCADA/MES integration, process optimization). Nice-to-Haves & Certifications Academic background in Chemical Engineering, Bio-process Engineering, Computer Science, or a related STEM discipline. Direct experience operationalizing ML models inside regulated GxP environments in the Life Sciences or Specialty Chemicals sectors. Certifications: AWS Certified Machine Learning – Specialty, Databricks Certified Machine Learning Professional, or equivalent MLOps credentials. What This Role Is NOT Not a Data Scientist or Exploratory R&D Specialist: You will not be focusing on exploratory data analysis, academic algorithms, or standalone Jupyter notebook modeling; you are building, scaling, and maintaining production MLOps pipelines, inference engines, and model integration code. Not a non-coding Architect: This is a 100% hands-on MLOps and software engineering lead role requiring direct model deployment, infrastructure creation, and technical execution. Not a Fully Remote Position: This role requires a steady hybrid commitment of 3 days onsite per week at the client site in Indianapolis.

Location: Ho Chi Minh City, Vietnam; Vietnam Top Reasons To Join Us Working for the Insurtech Market Leader. 100% Remote Working with cutting edge technologies (Kubernetes, Terraform, GraphQL etc.) and multiple Cloud providers (AWS/Azure/GCP). About Us At CoverGo, our mission is to empower all insurance companies to make insurance 100% digital and accessible to everyone. We are a leading global no-code insurance platform for health, life, and P&C. We’re the winner of the Insurtech of the Year in all of Asia and other awards globally. We work with insurance enterprise clients such as AXA, Bupa, MSIG, Dai-ichi, Bank of China Group Insurance, and many more. We're an international, diverse team of over 120 people with 30 nationalities and team members working remotely from all over the world. We are fully funded and backed by reputable VC funds and strategic institutional investors. We have a global presence in Asia, EMEA and the Americas. We’ve grown our annualized revenue by over 30x since January 2021. We’re constantly working towards making CoverGo a workplace that you love coming to. We deeply believe that bringing together a diversity of thoughts, expressions, and perspectives is key to building the best culture for equally diverse communities all over the world. About the Role We are seeking a Senior Full Stack Engineer with a strong focus on Support & Observability to join our global engineering support team. This role is ideal for engineers who are passionate about solving complex technical problems, improving system reliability, and delivering exceptional customer experiences. You’ll be part of the frontline technical team —working directly with customers, troubleshooting and resolving platform issues, and collaborating with engineering teams to improve our systems, tools, and processes. While this is a support-heavy role, solid software engineering skills and strong observability knowledge are essential . About Support Team Our Support Team acts as the first line of technical assistance for our customers and internal stakeholders. We not only resolve technical issues but also focus on advocating for customers, enhancing support tools, improving documentation, and collaborating closely with engineering teams to elevate the overall experience. The team works closely with product and project engineering teams to deliver the best possible experience to our customers at scale , ensuring that solutions are not only reactive but also continuously improved for long-term impact. What You Will Do Triage and troubleshoot support issues, when required escalate to project or product engineering teams. Analyze system behavior using observability tools—logs, metrics, tracing—to diagnose root causes of incidents in distributed systems. Debug application code (primarily in .NET or NodeJS) and, when required, contribute fixes or code-level solutions. Take ownership of technical issues by directly investigating and resolving problems at the code level, including identifying root causes and implementing fixes when necessary. Work closely with our technical stack (AWS, Azure, GCP, Kubernetes, Dapr, Terraform, Temporal, Mongo Atlas, PostgreSQL) and our platform languages (.NET, NodeJS, Java). Configure enterprise monitoring solutions. Conduct thorough post-incident reviews to identify root causes and implement preventive measures. Automate support needs, develop runbooks, improve and maintain support tools. Participate in infrastructure capacity planning, demand forecasting, software performance analysis and systems tuning. Understand our product offerings and continuously look for ways to improve the engineering support experience and platform engineering tooling. Participate in R&D / explorations / automation with AI. Help define and drive adoption of KPIs such as CSAT, NPS, resolution time, and first contact resolution. Participate in strategic discussions around customer lifecycle, retention, and satisfaction. What We Need At least 6 years of experience in support or full stack engineering with a strong focus on delivery, observability, and cloud technologies. Strong hands-on experience in software development with modern technologies such as .NET, Node.js and React or Vue.js. Proven experience leading a squad/team , coordinating team members, driving delivery, and providing technical guidance and mentorship. Distributed Systems Troubleshooting: Proven track record of diagnosing and resolving complex issues in distributed systems. Observability and Monitoring Tools: Experience in utilizing observability platforms for metrics, logs, and tracing to pinpoint root causes in microservice architectures. Exceptional problem-solving skills and ability to take ownership of customer issues through to resolution. Strong communication and interpersonal skills to build rapport with customers and collaborate effectively with internal teams. Fluent in English. A customer-first mindset—empathetic, responsive, and solutions-driven. A humble attitude, an eagerness to help others, and a desire to pick up whatever knowledge you're missing to make both your team and our customers succeed. Being adept at frequent context switching and working on multiple projects at once with expansive ownership, and ruthlessly prioritize. You might thrive in this role if You prefer short projects where you can go deep and chase a problem down vs. building long-term solutions over many months. You enjoy seeing multiple use cases, understanding the broad landscape, all while going deep on specific issues. You have previous experience in the insurance or InsurTech space. You are proficient with customer support platforms (e.g., Jira, Zendesk). You have proven track record of leading and scaling customer service operations in a fast-paced environment. Why You'll Love Working Here International Environment Competitive remuneration package Fully Remote Annual Leave Annual Performance Bonus Stock Options after 6 months Health Insurance Remote Work Allowance Company activities and events Learning and development plan CoverGo Company Video By submitting your application, you confirm that you have read, understood, and accepted the content of CoverGo’s Privacy Notice and you consent to the processing of your data as part of this application.

Location: Kazakhstan; Azerbaijan; Armenia; Uzbekistan We are seeking a dynamic and experienced  Group Reservation Manager to join our growing team. The Group reservation manager will be responsible for oversees and manage all aspects of group reservations to ensure a seamless booking experience for B2B partners. This role requires a deep understanding of travel logistics,experience in group tourism,  strong organizational, communication, and customer service skills, along with the ability work with large amounts of information at the same time. Requirements What You’ll Do Booking Management: Process group reservations promptly and accurately. Searching and booking of  group accommodation options, additional services, according to the request. Client Interaction: Communicate with clients to understand their travel needs and preferences. Travel Coordination: Receiving and processing requests for booking hotels, other accommodation facilities, transport services, excursions around the world for groups; Vendor Management: Negotiate and manage relationships with hotels, and other service providers to secure favorable rates and terms. Itinerary Creation:  Create customized travel itineraries that align with clients' interests and budgets. Problem Resolution: Address and resolve any group booking issues or client complaints promptly. Partner support in all cases arising from the completed booking (cancellation, changes, relocation, etc.) Documentation Oversight Technology Integration Reporting and Analysis Emergency Response Planning What We’re Looking For Bachelor's degree in Business Administration, Hospitality Management, or a related field. Proven experience in group travel management, concierge agency, TMC, DMC or tour operator companies. Knowledge of the bases of hotels in Russian Federation and popular destinations. Strong negotiation and vendor management skills. Excellent knowledge of travel-related regulations and compliance. Proficient in travel management software and tools. Exceptional organizational and multitasking abilities. Strong analytical and problem-solving skills. Excellent communication and interpersonal skills. Language Skills: knowledge of English on at least Upper-Intermediate level (both spoken and written). Ability to work under heavy load. Responsible, stress-resistant, attentive person. Benefits What We Offer Remote Work: Flexibility to work from anywhere. Competitive Compensation: Attractive base plus bonus structure. Corporate Exposure: Collaborate with leading global companies and manage travel for top executives. Professional Growth: Advance your career handling challenging, high-profile cases. Continuous Learning: Ongoing training, seminars, and opportunities to attend top industry events. Travel Perks: Take advantage of corporate rates and unique travel discounts worldwide. The Process Intro Chat: Welcoming conversation with our HR team. Remote Set-Up Check: Quick internet speed test to ensure remote readiness. Manager Interview: In-depth discussion about your experience and the role specifics. Decision & Offer! Learn more about our data protection practices in our Privacy Policy . If this sounds like the perfect fit for you, we’d love to hear from you! Apply now and let’s create amazing travel experiences together!

Задачи: — Проведение интервью с заказчиками (внутренними и внешними), выявление, формализация и приоритизация функциональных и нефункциональных требований. — Описание текущих (AS-IS) и целевых (TO-BE) бизнес-процессов. Визуализация логики через BPMN 2.0, UML-диаграммы (Use Case, Sequence) и Customer Journey Map. — Разработка спецификаций API (REST/JSON, WebSocket), проектирование интеграционных взаимодействий между сервисами, написание Swagger (OpenAPI) документации. — Написание SQL-запросов средней сложности для анализа источников и проверки гипотез. — Декомпозиция требований на задачи для бэкэнда, фронтенда и тестирования; участие в оценке сроков реализации вместе с командой разработки. Требования: — Опыт работы системным или фуллстек-аналитиком от 3 лет; — Уверенное владение нотациями моделирования: BPMN 2.0 обязательна, понимание UML (диаграммы последовательности/состояний); — Практический опыт проектирования REST API: умение описывать методы, параметры, коды ответов, контракты JSON. Знание стандартов OpenAPI/Swagger; — Владение SQL на уровне JOIN (GROUP BY, HAVING`), вложенных запросов и оконных функций; — Инструментальное владение AI для анализа, генерации и автоматизации; — Понимание архитектуры клиент-серверных приложений и микросервисов. Будет плюсом: — Понимание протоколов очередей сообщений (Kafka, RabbitMQ); — Опыт прототипирования интерфейсов (Figma, Miro). Условия: — Гибридный формат работы (современный офис в Москве на метро Проспект мира); — Льготные ипотечные условия кредитования; — Подписка Прайм с возможностью совместного использования на трёх близких; — Скидки на продукты компаний – партнеров: Okko, Сбер Маркет, Мега Маркет, Самокат, Еаптека и другие; — ДМС с первого дня и скидки на страхование для близких; — Корпоративная пенсионная программа; — Детский отдых и подарки за счет Компании; — Обучение за счет Компании, Онлайн курсы, неограниченный доступ к библиотеке и обучение на базе Корпоративного университета, тренинги, митапы и возможность получить новую квалификаци.

Задачи: — Сбор и формализация функциональных требований от бизнес-пользователей: интервью, воркшопы, изучение первичных документов и данных систем; фиксация требований в виде пользовательских историй (user story) или функциональных описаний. — Описание бизнес-процессов AS-IS и TO-BE в нотациях BPMN, UML или аналогах; разработка схем процессов, регламентов работы пользователей и сценариев использования (use-case). — Декомпозиция крупных инициатив на задачи для разработчиков: подготовка функциональных требований (ФТ) и технических заданий (ТЗ) с достаточным уровнем детализации для однозначной реализации. — Формирование критериев приёмки (definition of done) и тест-сценариев для проверки реализованного функционала; участие в приёмочном тестировании доработок совместно с бизнес-пользователями. — Постановка задач в системе трекинга (1С:ИТИЛИУМ): ведение нарядов на изменения, контроль статусов и приоритетов; сопровождение задач в процессе разработки — ответы на уточняющие вопросы, оперативная корректировка требований. — Анализ инцидентов и проблем в 1С-системах: поиск первопричин совместно с разработчиками; формулировка задач на исправление ошибок с описанием шагов воспроизведения и ожидаемого результата. — Участие во внедрении изменений: подготовка пользовательских инструкций, обучение ключевых пользователей, сопровождение запуска; сбор обратной связи после выхода функционала в продуктив. Требования: — Образование высшее (ИТ, экономика, математика, управление или смежные специальности). — Опыт работы от 2 лет в роли бизнес-аналитика 1С, системного аналитика или методиста 1С. — Практический опыт сбора и формализации требований к 1С-системам (ФТ, ТЗ, use-case). — Навыки описания бизнес-процессов. — Опыт работы с нетиповыми конфигурациями 1С на уровне уверенного пользователя (понимание объектов метаданных: справочники, документы, регистры). — Опыт взаимодействия с командой разработки в роли аналитика или методиста 1С. Условия: — Работа в крупной стабильной компании с 26-летней историей. — Офис в БЦ "Авилон Плаза" (м. Текстильщики, 15 минут пешком, комфортный современный офис, столовая на территории, оборудованная кухня в офисе). — Оформление по ТК РФ с первого рабочего дня, оплачиваемый отпуск, больничный лист. — "Белая" заработная плата, выплаты стабильно 2 раза в месяц. — График работы гибридный: в офисе со вторника по четверг; удаленно: понедельник и пятница. — Скидки на продукцию компании.

Задачи: — Участие в реализации проекта по разработке мобильного финтех-приложения для международного рынка — Сбор, анализ и формализация бизнес- и системных требований — Подготовка и детализация технических заданий для разработки — Участие в проектировании API-контрактов (REST/gRPC) — Проектирование интеграций с внешними системами (API, брокеры сообщений и т.д.) — Подготовка диаграмм и схем взаимодействия сервисов (BPMN, UML, C4) — Участие в планированиях, дейли и груммингах с бэкенд- и мобильной командой — Поддержка и актуализация документации (Confluence, Swagger/OpenAPI) — Согласование решений с архитекторами и старшими аналитиками — Участие в тестировании и приёмке реализованных функций (совместно с QA) — Ведение аналитических артефактов в рамках выделенных задач — Инициация улучшений в процессах анализа и интеграций Требования: — Опыт работы системным аналитиком от 7-ми лет — Понимание архитектуры распределённых систем и микросервисов — Опыт описания и анализа бизнес-процессов (Use Case, BPMN, UML) — Опыт работы с API (REST/gRPC), понимание принципов интеграций — Навыки работы с системами документации: Confluence, Swagger/OpenAPI — Базовый опыт работы с Camunda или другими BPM-системами — Понимание жизненного цикла разработки ПО (SDLC) — Умение структурировать и декомпозировать требования — Способность аргументированно доносить решения до команды и стейкхолдеров — Опыт подготовки схем экранов (ЭФ) для мобильных приложений — Опыт работы с брокерами сообщений (kafka, rabbit) Будет плюсом: — Опыт в финтех-проектах и/или разработке мобильных приложений — Опыт участия в проектах с повышенными требованиями к безопасности и отказоустойчивости — Опыт написания и валидации JSON/YAML схем Условия: — Работа в команде для создания нового мобильного приложения — Full-time, remote — Локация: любая — ЗП ~ 1500 руб/час, оформление через ИП

Heliax is a remote-first company that researches, develops, deploys, and maintains open-source protocols and mechanisms to serve everyday needs, including Anoma and Namada projects. Applicants must be based in Europe (including the UK) and willing to travel to Berlin for initial onboarding. Responsibilities: — Design new cryptographic protocols (e.g. shielded state sync) to meet specified information flow, security, and performance goals. — Evaluate and analyze existing cryptographic protocols and proof systems (e.g. zkSNARKs, zkSTARKs, Halo2, ProtoStar, Risc0 zkVM) for security, expressivity, and performance. — Update, reimplement, and combine cryptographic protocols, customizing them for proofs-of-concept and production use-cases. — Produce comprehensive technical specifications for cryptographic designs and collaborate with engineers on implementations. — Implement, review, and test cryptographic operations and protocols, primarily in Rust, and evaluate implementations for correctness and performance. Requirements: — Mathematical and/or cryptographic background in relevant subfields (complexity theory, abstract algebra, cryptographic protocol design). — Expertise (formal or informal) in constructive protocol design and analysis of distributed cryptographic protocols. Nice to have: — Published papers in mathematics, theoretical CS, and/or cryptography. — Experience with distributed systems and/or operating systems architecture/design. — Experience with Zerocash/Zexe/VeriZexe and related architectures. — Academic qualifications in a relevant field (cryptography or mathematics). Stack includes Rust, zkSNARKs, zkSTARKs, Halo2, ProtoStar, Risc0 zkVM, Arkworks, elliptic curves, hash functions, DKG, threshold encryption. Benefits: — Relocation and visa assistance for Germany. — High degree of independence in working conditions and task prioritization. — Work closely with a small cross-disciplinary team on research-led projects. — Opportunity for travel, including initial onboarding in Berlin.

Location: United States; Canada Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! About The Role Help bring Cohere's enablement strategy to life for our field teams in North America. This generalist role will build and manage programs end-to-end, from design through rollout, measurement, and iteration, while working directly with managers and reps to ensure enablement drives results. You'll report to the Head of Sales Enablement and help establish operational rigor as this global function scales. Key Responsibilities - Own enablement programs from design through rollout, measurement, and iteration - Partner with Product, Marketing, Sales Leadership, and RevOps to align GTM priorities and embed enablement into every stage of the sales lifecycle - Create and curate high-impact resources (playbooks, battle cards, demo scripts, certification programs) for Cohere's solutions - Establish KPIs (win rates, sales cycle efficiency) and use analytics to refine initiatives and prove ROI - Operationalize MEDDPICC methodology into everyday seller behavior (deal reviews, coaching, planning) - Build certification paths that accelerate new seller productivity across regions and cultures - Maintain and evolve the enablement content platform to ensure global adoption - Identify automation opportunities for repeatable work, and develop practical AI workflows that improve team output - Work directly with field leadership on joint calls, deal coaching, and in-market visits - Translate field insights into updated content, playbooks, and qualification guides - Keep sellers current on product lineup, competitive positioning, and use-case narratives - Balance live training, program management, and strategic planning across time zones - Measure program impact (ramp time, win rates, pipeline generation, deal velocity) and report to leadership QUALIFICATIONS - 5+ years in sales enablement, sales training, revenue operations, or related GTM role (B2B SaaS/tech preferred) - Experience supporting multi-region sales organizations with cultural/time zone awareness - Proven ability to design and ship programs from scratch - AI-fluent with track record of scaling enablement using AI tools - Field-oriented approach—you thrive on direct deal reviews and coaching - Mastery of enterprise sales methodologies (e.g., MEDDPICC, Command of the Message) and CRM systems (e.g., Salesforce). - Clear communication across all levels (reps to leadership) - Comfort with ambiguity and building in fast-paced environments - Bachelor's degree or equivalent experience NICE TO HAVE - Technical fluency in AI/ML concepts (RAG, model selection, competitive differentiation) - Enterprise software sales experience - Sales enablement/instructional design certification - Hyper-growth enablement scaling experience - Additional regional languages   FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Обязанности: — Тестирование мобильного приложения iOS / Android, веб-кабинета и админки. — Проведение manual testing, написание и поддержка автотестов UI / API. — Сопровождение релизов: проверка задач, smoke и regression testing, проверка hotfixes и production issues. — Тестирование REST API через Postman: payloads, status codes, headers, authentication, webhooks. — Анализ логов и ошибок в GCP Cloud Logging, Sentry, Crashlytics и воспроизведение/локализация проблем. — Анализ требований, acceptance criteria и макетов Figma, выявление пробелов и неоднозначностей до начала разработки или тестирования. — Подсвечивание рисков и проблемных сценариев. — Создание bug reports в Jira и ведение задач до закрытия. — Взаимодействие с системным аналитиком, PM, разработчиками и дизайнером. — Подготовка test plans, checklists, test cases и test scenarios. — Создание скринкастов багов и протестированных сценариев. — Развитие QA-подходов в команде. Требования: — 3+ года опыта в Fintech / Payments, включая интеграции, платёжных провайдеров или денежные переводы. — Уверенный manual testing web и mobile-приложений. — Практический опыт тестирования REST API и интеграций. — Уверенный опыт работы с Postman, понимание HTTP / HTTPS, методов, status codes, headers, JSON, idempotency и webhooks. — Умение читать логи в GCP Cloud Logging / Sentry / Crashlytics или аналогах. — Знание SQL / NoSQL на уровне написания и понимания запросов. — Опыт с UI / API autotests: Playwright, Cypress, Appium, Newman или аналогами. — Понимание CI/CD pipeline. — Понимание Scrum, UX и пользовательских сценариев. — Английский B1+. Будет преимуществом: — Опыт с PayPal, Stripe или локальными платёжными провайдерами. — Знание AML / KYC, 3DS, chargebacks. — Опыт тестирования мобильных билдов через TestFlight / Firebase App Distribution. — Опыт solo QA или выстраивания QA-процессов с нуля. Условия: — Оформление: Service Agreement.

Location: United States; Mexico; Canada; United Kingdom About Us Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. Role Overview Our client is supporting the development of advanced AI systems through expert legal review, research, and evaluation. We are looking for experienced family law attorneys to analyze legal scenarios, review and annotate legal documents, and provide high-quality legal reasoning for AI training and evaluation. The work focuses on family law research, case analysis, legal drafting, document review, and interpretation of statutes and precedent . No prior AI experience is required. CONTRACT: Short-term contractor assignment (1099) LOCATIONS: Remote USA HOURLY RATE: $140 - $400/h NOTES: Active legal licensure and demonstrated expertise in U.S. immigration law are required. Responsibilities Analyze complex family law cases, statutes, and precedents . Conduct legal research and prepare concise summaries and case notes. Draft, review, and annotate family law documents such as custody agreements, divorce decrees, and prenuptial agreements. Identify key legal issues, arguments, reasoning, and risk areas in case files. Evaluate AI-generated legal content for accuracy, clarity, and legal soundness. Provide structured feedback and corrections where needed. Explain nuanced family law concepts in clear, precise written language. Collaborate with remote project teams using digital tools. Maintain a high standard of legal accuracy, consistency, and attention to detail. Requirements Active license to practice law in a relevant jurisdiction. Strong professional experience in family law . Experience handling complex family law matters in a BigLaw, leading law firm, or comparable high-complexity legal environment . Strong legal research, writing, and case-analysis skills. Experience drafting or reviewing family law agreements, court documents, or legal memoranda. Proven ability to interpret statutes, case law, and legal precedent. Strong ability to review complex legal documents and identify material issues. Excellent written and spoken English .

Location: Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | 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: As part of Anthropic’s Global Safety, Intelligence, and Security (GSIS) team, the Security Technology Deployment Engineer will own the validation, standardization, and deployment of physical security technology across Anthropic’s rapidly expanding global office portfolio. This role bridges the gap between technology selection and production-ready operation — ensuring that every security platform deployed is rigorously tested, properly integrated with enterprise infrastructure, fully documented, and built for scale. You’ll define the installation standards, configuration baselines, and deployment processes that the broader team executes against — from access control migrations and intercom replacements to AI analytics onboarding and new application integrations. You’ll work across InfoSec, IT, Networking, and Identity Management to ensure every security application passes review, integrates with SSO, and is supported within Anthropic’s infrastructure before going live. Your work will directly determine whether Anthropic’s security technology stack scales reliably as the company grows from dozens of locations to a global enterprise footprint. Responsibilities: Validate and deploy new and replacement security technology platforms including access control systems, intercom solutions, video management, visitor management, and AI/analytics tools across all Anthropic locations Build and maintain staging environments for pre-production testing and validation of all security applications, hardware, firmware, and system configurations Define installation standards, configuration baselines, licensing structures, update procedures, and maintenance requirements for every deployed security platform Deploy integrations between security applications, validating that platforms communicate and share data correctly before transitioning to production Support colleagues’ security applications through InfoSec review processes, ensuring new tools meet Anthropic’s information security and compliance requirements Coordinate SSO integration for newly deployed security applications with Identity Management and IT teams Transition applications requiring custom integration or data pipeline development to the IT Engineering team with documented technical requirements for roadmap inclusion Initiate onboarding of deployed hardware and systems into Anthropic’s health monitoring platform to ensure operational visibility from day one Develop standardized deployment playbooks, checklists, configuration templates, and handoff documentation that enable repeatable installations across all current and future sites Evaluate security platforms for scalability, identifying capacity constraints, single points of failure, and architectural limitations before they impact operations at scale Coordinate with Networking, IT Infrastructure, and Facilities teams to ensure all infrastructure prerequisites (network, power, rack space, cloud resources) are met prior to deployment Execute structured handoffs to Project Management (for site programming), Break-Fix Support (for maintenance), and Access Control Administration (for ongoing system management), ensuring each team has the standards and documentation to execute independently You may be a good fit if you: Have 5+ years of hands-on experience deploying, validating, and managing enterprise physical security technology across a large or rapidly growing organization Have deployed security technology across 50 or more sites, or have demonstrated experience in a high-growth environment where deployment velocity and repeatability were essential Have built standardized deployment processes, playbooks, and configuration templates that enabled others to execute installations independently and consistently Have experience working across InfoSec, IT, Networking, and Identity Management teams to onboard and integrate security applications into enterprise environments Have supported SSO integration, InfoSec reviews, and enterprise application onboarding workflows for security tools Possess broad technology experience across access control, video management, intercoms, visitor management, AI/analytics, and alarm monitoring platforms Are a strong technical communicator who can define standards clearly enough that PMs, integrators, and service teams execute against them without ambiguity Have experience with IP networking, VLANs, PoE, and infrastructure requirements for security devices Are comfortable with 25% travel for site deployments, commissioning, and validation Strong candidates may have: Previous experience at a hyper-growth technology company or managing security technology programs for high-profile corporate environments Experience with Anthropic’s specific technology stack: Genetec Security Center, Axis cameras, Wavelynx, Commend Symphony Cloud, Alcatraz.ai , Ambient.ai , SureView, Envoy Industry certifications: Genetec, Axis, CCNA, PSP, CPP, or PMP Experience with OSDP, modern credential technologies, and encryption protocols for physical security systems Familiarity with scripting or automation (Python, PowerShell) for configuration management and deployment automation Experience with health monitoring and observability platforms Knowledge of SOC 2 compliance, GDPR, and physical security compliance frameworks Experience with change management, configuration control, and version-controlled infrastructure documentation Deadline to apply: None. Applications will be received on a rolling basis. 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: $180,000 — $230,000 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 | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is dedicated to developing AI assistants that are helpful, harmless, and honest. As usage of our AI services grows, we need to ensure they are not misused. The Safeguards team is at the forefront of protecting our users from the risks of powerful AIs as well as ethical, technical, and social risks from the use of generative AI. The Safeguards team at Anthropic builds protections for new AI features enabled by the research teams and protects new products and surfaces developed by our product teams. As a Product Manager for the Safeguards team at Anthropic, you will own the ideation, design, development and deployment of Safeguards systems and relevant product UX to ensure we are advancing frontier models safely to users across various cloud platforms. You will work closely with our research and product teams to develop detections, evals, interventions, and tools to measure and mitigate deployment and user risks. We are looking for a product manager who is deeply committed to making AI safe and beneficial for humanity.  You are aware of the risks and are committed to working with experts and coming up with ideas for Anthropic to implement. You have deep technical expertise in development, deployment and measurement of Safeguards systems. You thrive in rapidly moving and ambiguous environments. Responsibilities Determine how to build in safety by design upstream and leverage downstream defenses for Anthropic’s frontier models, AI products, customers on different surfaces - Claude.ai, 1P API, external Cloud providers. Ability to write safety evals and communicate externally about safety. Drive impact via ruthless prioritization by clearly defining problems, solution options forward, clarity on both business & technical tradeoffs and accordingly clear requirements toward MVP vs. ideal state. Align & collaborate with policy, enforcement, research, engineering and cross functional stakeholders. Understand the AI landscape and ecosystem to plan for mitigation of deployment risks of increasingly powerful models and determined adversaries. Lead the development of metrics to understand the area, performance, blindspots to help inform future project planning. Minimum Qualifications You may be a good fit if you have: Ability to make technical tradeoff decisions; ideally with experience working across policy experts, AI/ML research engineers and software engineering teams to design and build state of the art safety systems. Strong user understanding of how our products are used, their Safeguards concerns and how we provide the best solutions. Demonstrated ability to build product and engineering strategy across multiple cross-functional teams for a rapidly changing space. Demonstrated experience in designing and building metrics to evaluate risks, system performance, user impact and making crisp tradeoffs Very strong ability to navigate, and prioritize amidst rapidly changing product specs, and to flex into different domains to bring clarity and execute. Evidence of exercising judgment and decision making in ambiguous situations. Planning, building, launching and measuring new products / systems in a zero to one environment. Ability to clearly articulate complex technical concepts to non-technical audiences in written and verbal communication. Think creatively about the risks and benefits of new technologies, and think beyond past checklists and playbooks. Preferred Qualifications 5+ years in product management with a focus on fast problem understanding, building roadmaps with tractable progress, ability to get into the details on data, detection & interventions, infrastructure & tools, and/or evals. 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: $385,000 — $460,000 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.