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Location: Brazil, Chile, Colombia Why Join Exadel We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks. From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next. What powers it all? Our people are ambitious, collaborative, and constantly evolving. About the Client A leading American financial services corporation and operator of a premier global stock market. Serving as the primary listing venue for major technology and growth-oriented companies, the organization also acts as a top-tier financial technology provider, delivering data analytics, market surveillance, and index licensing to institutional clients worldwide. To drive digital modernization, the platform integrates advanced cloud infrastructure and Generative AI to streamline cross-border listings, trading workflows, and global regulatory compliance. What You’ll Do Collaborate with cross-functional teams to translate business requirements into ControllerView configurations Support the design, implementation, and enhancement of AXIOM regulatory reporting solutions Analyze and optimize data flows, transformations, and reporting processes Perform data mapping, reconciliation, and data-quality validation Support regulatory report generation and exception-management processes Participate in business-process modeling and documentation Collaborate with stakeholders across business, risk, compliance, and technology teams Ensure adherence to regulatory requirements and reporting standards Identify opportunities to improve operational efficiency and data quality What You Bring Proven commercial experience with AxiomSL experience as an Implementation Consultant, Configurator, Business Analyst, or in a related role Experience implementing regulatory reporting solutions or delivering localized customizations Strong analytical and problem-solving skills Proficiency with data-analysis tools and techniques Excellent communication and interpersonal skills Ability to collaborate effectively with cross-functional teams Experience with business-process modeling and documentation tools Advanced English proficiency Intermediate Spanish proficiency is considered a plus Hands-on experience with ControllerView Knowledge of data models and metadata management Experience developing rules and configuring workflows Knowledge of data mapping and transformation Understanding of data lineage and data-quality controls Experience with reconciliation processes Knowledge of regulatory report generation and exception management Strong understanding of data-management concepts, including: SQL fundamentals, Database design, ETL processes, Data-quality management, Data reconciliation Bachelor’s degree in Business Administration, Information Technology, or a related field MBA or relevant certification, such as CBAP, is considered an asset Nice to have Experience working within managed cloud environments Previous experience supporting capital markets platforms and regulatory initiatives Experience within highly regulated banking environments Knowledge of enterprise data-governance practices English level Advanced Work Type: Remote Legal & Hiring Information Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more Reasonable accommodations are available to enable individuals with disabilities to perform essential functions Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs Compensation details are shared with candidates at the early stage of the recruitment process. The offer is not binding until a signed contract is in place. Your Benefits at Exadel Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details. International projects In-office, hybrid, or remote flexibility Medical healthcare Recognition program Ongoing learning & reimbursement Well-being program Team events & local benefits Sports compensation Referral bonuses Top-tier equipment provision Exadel Culture We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

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 We are seeking an Enterprise Account Executive, Industries - BFSI to pioneer Anthropic's enterprise AI adoption across India's banking, financial services, and insurance sector. You will build our presence from the ground up, securing transformative deals with leading banks, NBFCs, insurers, and fintechs, and establishing Anthropic as their trusted AI partner for digital transformation. You will navigate the complex, regulated environment of Indian financial institutions and position Claude as the AI solution that drives both efficiency and innovation while maintaining the highest standards of safety and reliability. As one of our first industry specialists in India, you will shape our BFSI go-to-market strategy and build the playbook for how Anthropic serves financial institutions, working closely with global teams while adapting our approach to local market dynamics. This position is based in Bangalore, Mumbai, or NCR, with travel across India. Key responsibilities Establish Anthropic's enterprise presence across India's BFSI sector, including public and private sector banks, NBFCs, insurers, asset managers, and fintechs Develop BFSI-specific strategies that account for RBI, IRDAI, and SEBI requirements, data localization needs, and sector compliance standards Build relationships with key stakeholders, including CXOs, Chief Risk and Compliance Officers, digital transformation leaders, and innovation heads at India's top financial institutions Create the India BFSI playbook for enterprise AI adoption, documenting successful approaches that can scale across the region Own end-to-end sales cycles for complex, multi-stakeholder enterprise deals, often involving board-level decisions Drive strategic expansion within lighthouse accounts that can serve as references for the entire BFSI industry Navigate procurement processes unique to Indian financial institutions, including vendor risk assessments, rate contracts, empanelment procedures, and multi-year agreements Collaborate with system integrators and consulting partners who often influence technology decisions at banks and insurers Co-innovate with customers to develop BFSI use cases, from vernacular customer service and fraud detection to credit underwriting and automated compliance reporting Understand sector-specific challenges such as financial inclusion, legacy core banking modernization, and data security in regulated environments Position AI strategically within the context of Digital India initiatives and financial sector modernization programs Ensure successful deployments that can scale from proof-of-concept to enterprise-wide implementation Partner with global product teams to prioritize features critical for Indian financial institutions, such as multi-language support, data residency, auditability, and integration with local systems Collaborate with legal and compliance teams to navigate India's evolving AI and data protection regulations Provide market intelligence on competitive dynamics, pricing expectations, and emerging BFSI use cases unique to India Build internal alignment between Anthropic's global strategy and India's market requirements Minimum qualifications 15+ years of enterprise sales experience in the Indian market, with a proven track record of closing large, complex deals, ideally across BFSI sector Deep understanding of how Indian financial institutions operate, including decision-making processes, budget cycles, and stakeholder dynamics Experience selling transformational technology (Cloud, AI/ML, Digital Transformation platforms) to Indian enterprises Established relationships with senior executives across banks, NBFCs, insurers, or fintechs Understanding of the Indian regulatory landscape, including RBI, NSE, IRDAI, and SEBI requirements, data protection laws, and sector-specific compliance Consultative selling expertise, with the ability to position AI as a strategic business driver rather than just a technology solution Complex deal structuring experience, including multi-year contracts, phased deployments, and outcome-based pricing Technical acumen to engage credibly with CTOs, architects, and data science teams Cross-cultural communication skills to work effectively with both Indian stakeholders and global teams Entrepreneurial mindset and the ability to build a market from scratch with limited local resources initially Patient yet persistent approach to long enterprise sales cycles, while maintaining momentum Preferred qualifications Experience selling directly into large Indian banks, insurers, or financial conglomerates Relationships with Indian system integrators such as TCS, Infosys, Wipro, and HCL, particularly their BFSI practices Familiarity with Indian business groups and conglomerates, and how decisions flow within these complex organizations Track record of first-in-market roles or launching new products in India Domain expertise in areas critical to Indian financial services, such as UPI payments, core banking systems, KYC/AML compliance, Aadhaar integration, or insurance underwriting Knowledge of government initiatives such as Digital India and their impact on financial sector technology adoption Experience navigating public sector bank and PSU sales processes is a plus Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Bulgaria, Hungary, Poland Why Join Exadel We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks. From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next. What powers it all? Our people are ambitious, collaborative, and constantly evolving. About the Client The leading provider of vehicle lifecycle solutions, with headquarters in Chicago, enables the companies that build, insure, and replace vehicles to power the next generation of transportation. Its platform delivers advanced mobile, artificial intelligence, and car technologies. It connects a network of 350+ insurance companies, 24,000+ repair facilities, hundreds of parts suppliers, and dozens of third-party data and service providers. The customer's collective solutions enhance productivity and help clients deliver better experiences for end consumers. What You’ll Do Design and implement end-to-end document intelligence pipelines on AWS Develop and optimize ML models for document classification, segmentation, and field extraction Build scalable data processing systems handling PDFs up to 2000 pages Collaborate with subject matter experts to create and refine requirements for extraction Own features from research through production deployment and monitoring Establish evaluation frameworks and quality metrics for extraction accuracy What You Bring Advanced knowledge of Python (native, Pandas, ScikitLearn, Tensorflow or Pytorch, PyStats, Pydantic) Experience with AWS tools for ML Engineering and ML deployment (Sagemaker, Lambda, Cloudformation/CDK, Step Functions) Advanced knowledge of SQL and Data Modeling Experience with GenAI for document intelligence, including prompt engineering, RAG (Retrieval Augmented Generation), multi-modal models (vision + text), and production deployment using AWS Bedrock or Azure OpenAI APIs Experience in experiment design (power analysis and hypothesis testing) Proficiency in both written and verbal communication, required for a remote and largely asynchronous work environment Demonstrated capacity to clearly and concisely communicate complex technical problems and propose iterative solutions Experience owning a feature from concept to production, including proposal, discussion, and execution Nice to have Experience with document processing tools (AWS Textract, Azure Document Intelligence, or similar OCR/layout detection systems) Experience with PDF and Image processing libraries (e.g. PyMuPDF, opnecv, pillow) Experience in Machine Learning/ Data Science (e.g., ML algorithm selection, feature engineering, model training, hyperparameter tuning, supervised and unsupervised learning implementation, building a model pipelines, using Machine Learning tools/libraries/frameworks) Experience working with AWS big data technologies (Redshift, S3, EMR, Glue, etc.) English Level Upper-intermediate Legal & Hiring Information Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more. Reasonable accommodations are available to enable individuals with disabilities to perform essential functions. Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs. Compensation details are shared with candidates at the early stage of the recruitment process. The offer is not binding until a signed contract is in place. Your Benefits at Exadel Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details. International projects In-office, hybrid, or remote flexibility Medical healthcare Recognition program Ongoing learning & reimbursement Well-being program Team events & local benefits Sports compensation Referral bonuses Top-tier equipment provision Exadel Culture We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

Задачи: — Формирование и реализация платёжной стратегии под gaming-маркетплейс с двусторонними потоками (депозиты игроков + выплаты трейдерам). — Онбординг банков и финансовых институтов в high-risk вертикали (MCC 7995, gaming, virtual goods). — Подключение новых PSP и локальных платёжных методов под ключевые гео: РФ, СНГ, Европа, LATAM, SEA. — Построение диверсифицированной инфраструктуры: карты, APM, криптоплатежи, e-wallets, локальные методы. — Payout-инфраструктура: массовые выплаты трейдерам в десятки стран, минимизация комиссий и времени зачисления. — Проактивный поиск решений по юрисдикциям и экономическим расчетам. — Контроль курсов конвертации и выявление скрытых наценок. — Аудит комиссий и переговоры об улучшении условий. — Контроль unit-экономики платежей. — Ежедневный контроль метрик: конверсия депозитов, chargeback rate, fraud rate, uptime, скорость и success rate payout. — Управление routing и fallback-сценариями. — Процессы по refund, chargeback, спорам, AML-алертам. — Создание дашбордов: Performance, Risk, Financial, Payout Operations. — Формирование и управление командой: PSP Manager, Compliance Manager, Payout Operations, Technical Support. — Постановка KPI и OKR, roadmap на квартал. — Регулярная отчётность руководству. География работы: — Россия (приоритет), опыт работы с российскими банками и платёжными системами обязателен. — СНГ (приоритет), знание локальной специфики депозитов и выплат. — Европа (развитие), опыт работы с европейскими PSP и банками — сильный плюс. — Глобально (перспектива): LATAM, SEA, MENA. Требования: — Опыт в роли Head of Payments / Payment Operations Lead от 3 лет, с банками и международными PSP. — Свободный английский язык. — Опыт классического merchant acquiring и онбординга юрлиц в международные платёжные системы (P2P-опыт не рассматривается). — Опыт работы с high-risk вертикалями: gaming, gambling, crypto, virtual goods, digital content. — Понимание KYB и underwriting в этих категориях. — Опыт построения payout-инфраструктуры для массовых выплат физлицам в разные гео. — Понимание онбординга напрямую в банки, работа со структурами, комплаенс, KYB. — Проактивность в работе с провайдерами, умение искать креативные решения. — Практический опыт работы на рынках РФ и СНГ, знание европейского рынка — преимущество. — Умение читать договоры с банками и PSP, видеть скрытые условия. — Навык верификации курсов конвертации и выявления расхождений с рыночными. — Знание специфики международных платежей: MPS rules, chargeback-процессы, KYB, AML. — Умение строить процессы с нуля в условиях роста. Будет плюсом: — Опыт работы с gaming / gambling-проектами или криптопроцессингом. — Опыт подключения крипто-провайдеров (USDT, стейблкоины) для payout. — Понимание технической стороны интеграций: API, webhooks, routing-логика. — Опыт выхода на европейские и глобальные рынки. Условия: — Удалённо или в офисе — по договорённости. — Полная занятость, конкурентная зарплата. — Прямое влияние на продукт и стратегию.

Location: Remote - India AI/ML Solution Architect Education & Assessment Platforms About Pratham International Pratham International is a US 501(c)(3) established to support learning innovations for children and youth in contexts across the globe. We enable the adaptation and spread of proven and scalable education solutions pioneered in India by Pratham Education Foundation to contexts across the global south through programming and technical assistance tailored to local realities. Today, Pratham innovations reach millions of children annually through partnerships across ~30 countries. Through the Pratham Shah PraDigi Innovation Centre (PraDigi), Pratham International also seeks to create technology innovations for low-resource communities, and support models aimed at learning for school, work, and life for children and youth. We work on several cutting-edge projects in the domain of Generative AI, Automatic Speech Recognition, and Natural Language Processing. The team’s innovative technology products include the PadhAI: Reading Assessment App, which uses advanced speech recognition to evaluate children’s reading fluency in 8 Indian languages and 6 global languages; Anytime Testing Machine (ATM), an AI-enabled question generation and grading system that allows learners to be assessed on any topic, anytime; and a suite of AI-powered chatbots designed for diverse learning contexts: from early childhood care, to youth employment readiness, and OCR-based analysis tools that digitize and assess student work at scale. At Pratham International, we build for the long term. Whether it’s ensuring products are truly accessible across rural India and the global south through languages, building datasets to ensure context and accuracy for products, or gathering feedback from the field. Backed by partners like Google.org, Anthropic, and the Gates Foundation, we are committed to building digital public goods that ensure every child is in school and learning well. Role Overview About the work We design and deliver AI systems that governments and large education programmes can actually run: curriculum-aligned item generation, paper assembly, handwriting OCR, rubric grading, and teacher-in-the-loop review. The work is already live as practice assessment in India and is being built as a national exam platform in Rwanda, with further country programmes behind it. We are hiring a Solution Architect who sits between discovery and delivery. You will turn messy workshop notes and ministry requirements into architecture a team can build, secure, cost, and operate — RAG and multi-agent systems, LLM-as-judge pipelines, and the cloud/LLMOps layer underneath. You will Own solution design from first workshop to a delivery-ready blueprint (services, data stores, trust boundaries, cost, ops). Architect LLM pipelines: generation, retrieval over curriculum knowledge graphs, standards/duplication/quality judges, constraint-based paper assembly. Design human + AI workflows with audit, segregation of duties, cycle-pinned config, and no student PII in model calls. Choose and govern models, prompts, eval gates, and fallbacks (including OCR: Azure primary, secondary fallback). Shape the Azure/AWS platform: identity, networking, LLMOps/MLOps, observability, and sovereign-hosting constraints. Run client workshops, write POVs and architecture packs, and stay accountable until the system is in production. About the work Pratham International programmes sit at the intersection of pedagogy, public systems, and production AI. The pattern is consistent across countries; the constraints change. Anytime Testing Machine (ATM) — India, practice and feedback End-to-end assessment for real classroom conditions: generate curriculum-aligned items, digitise handwritten answers (often photographed on a phone), grade against rubrics, and return feedback a teacher reviews before it reaches the learner. Built for high pupil–teacher ratios, mixed language (e.g. Hindi + English), and uneven connectivity. Pilots have already reached thousands of learners, including Second Chance (women returning for Grade 10). Model quality is measured against expert golden sets, not vendor slides. National assessment automation A government-grade exam platform. Phase 1 is item authoring and print-ready paper composition before the exam window. Phase 2 is script intake, OCR at national volume, AI-assisted grading with human confirmation on the pilot, results export, and monitoring/evaluation reporting. Subjects span core and elective streams across the curriculum. Design rules that do not exist in a typical SaaS product: cycle-pinned configuration, embargoed papers, hash-chained audit trails, and integration with national student information and assessment management systems. Curriculum knowledge graphs Structured retrieval corpora (concepts + worked examples) that ground generation and judging. This is the standing public-knowledge exception in an otherwise closed exam system, and the seed of a broader education DPI conversation. AI in TaRL and teacher support AI tools that help teachers group and teach by learning level, with an RCT-shaped evidence bar. Same product family: human agency stays in the loop; the model is a capacity multiplier. Country programmes and the three-year direction Adapt the same engine to new ministries, languages, and exam rules (Kenya and other Global South programmes are in scope). The longer bet is a learning and credentialing engine that recognises competence beyond a single syllabus. This is not a chatbot brief. It is constrained generation, retrieval, judging, document AI, workflow, and public-sector operations. Why this role exists Most enterprise AI dies between the workshop and production. We need one person who owns that gap: someone who can sit with NESA, C4IR, Pratham pedagogy, and engineering in the same week, and leave behind a blueprint the delivery team can execute without inventing policy. The target profile is a practising AI/ML Solution Architect — not a pre-sales slide owner, and not an infra-only platform engineer. The person should have done all three of these: Designed GenAI / NLP solutions, PoCs, and client workshops, and can talk to research-grade issues (eval, agent safety, prompt-injection, model-specific behaviour). Owned the AI platform: LLMOps, MLOps, DevSecOps, SRE habits, cloud migration, and FinOps. Taken messy discovery and turned it into Azure-centred RAG and multi-agent designs that a security team will accept. Key Responsibilities Discovery → architecture Lead solution workshops with programme, ministry, and engineering stakeholders. Convert half-formed requirements into service cuts, data stores, sequence diagrams, decision gates, and open-question lists with owners. Write architecture decision records. When the docs disagree (they will), force a decision instead of coding both. AI system design Design LLM jobs as contracts: inputs, JSON schema, temperature, persist prompt hash / model / tokens / latency. Architect generation grounded in structured curriculum blueprints and knowledge-graph retrieval, not "ask the model for a maths paper." Design LLM-as-judge banks (cognitive-level, relevance, difficulty, language, fairness, standards, duplication, blueprint compliance) with thresholds, one-repair rules, and golden-dataset release gates. Design hybrid assembly: constraint solver first, model only on ties and layout exceptions. Design document AI: primary OCR provider, secondary fallback provider, confidence routing, de-identification before any grading call. Specify eval: inter-rater agreement, rubric-band exact match, first-pass item acceptance, cost per paper cycle. Platform, trust, cost Own the reference architecture on the chosen cloud platform(s): identity, RBAC + segregation of duties, private networking, key management, object storage for scans, vector index, data warehouse for monitoring/evaluation reporting. Draw trust boundaries. Student PII never crosses the model gateway. Prompts are curriculum + knowledge-graph + blueprint content only. Put FinOps on the design: token budgets, OCR cost caps, degradation behaviour when a cap is hit, model routing. Specify LLMOps/MLOps: prompt/version registry, eval regression as a release gate, observability, rollback. Design for sovereign hosting and exam-cycle operations (embargo, watermarking, append-only audit, cycle-pinned configuration). Delivery and thought leadership Stay with the build through the first production cycle. Architecture that cannot be implemented is unfinished work. Produce POVs, sequence packs, and workshop artefacts that can be reused in the next country. Mentor tech leads on where the model should stop and the workflow should start. Success in the first two quarters First 30 days — Orient Complete architecture walkthroughs of every live/in-flight system with the current engineering leads; document current state (services, data stores, trust boundaries) as-is, not as-designed Meet every active stakeholder group once: engineering, programme/domain leads, and any external partner or government-side counterpart Inventory all open technical decisions and disagreements in existing specs; log each with current owner (if any) and status Identify the single highest-risk unresolved design question and flag it upward Day 60 — Diagnose Produce a current-state architecture diagram covering every major pipeline: data flow, model/LLM touchpoints, storage, and identity/access boundaries Assign an owner and target resolution date to every open contradiction identified in month 1 Draft a v1 reference architecture for one representative end-to-end workflow: service breakdown, data stores, identity/access model, model gateway placement, and a first-pass cost estimate Day 90 — Commit v1 reference architecture is reviewed and accepted by engineering and relevant stakeholders (not just self-signed) Can walk any core pipeline end-to-end from memory and name every data store, every quality/eval gate, and every trust boundary in it At least one architecture decision record is published for a previously-contested design question, with the decision forced rather than left open A first cost model exists for the reference architecture, with at least one identified lever for reducing spend if usage scales Day 120 — Harden Core pipeline components (generation, retrieval, judging/eval, or equivalent stages for this domain) have documented contracts: defined inputs/outputs, schema, and logged metadata (model, version, cost, latency) An evaluation harness exists for at least one component, with a defined pass/fail threshold A release gate exists that can block a bad prompt, model, or config change from reaching production Day 150 — Extend The next major system phase or capability is specified to the same rigor as the first: trust boundaries, failure modes, fallback behavior, and cost caps documented before build starts FinOps guardrails are in place for at least one production workload: budget ceilings, degradation behavior when a cap is hit, and a routing or fallback strategy Day 180 — Generalize A reusable design pattern or adaptation pack exists, separating what is fixed in the architecture from what varies by deployment context (e.g. language, hosting environment, external-system integration, content/domain rules) At least one engineering or technical lead has been mentored on where model-based logic should stop and deterministic/workflow logic should take over A second production-readiness review (security, cost, or operations) has been passed on a system this person designed or substantially redesigned Qualifications and Experience Must have 8+ years building software or data/AI systems, with recent experience as a Solution Architect, AI/ML Architect, or Principal/Staff Engineer with end-to-end architecture ownership. Shipped at least one production AI/ML system — RAG, multi-agent, LLM-as-judge, or a comparable classical ML/NLP pipeline at scale — that passed a real security, cost, and operations review, not just a pilot or a slide deck. Can produce a delivery-ready architecture blueprint: services, data stores, IAM, failure modes, evaluation strategy, and cost model — detailed enough that engineering isn't guessing at intent. Deep cloud experience on Azure and/or AWS: comfortable defending a landing-zone design, private-endpoint architecture, and a real monthly compute/inference/OCR spend. Fluent in Python, with hands-on experience in both classical ML (model training, evaluation, feature pipelines) and how LLM APIs, embeddings, and vector search actually behave under production load. Comfortable running a room with non-engineers — domain specialists, IT stakeholders, monitoring/evaluation teams — and translating fluently in both directions. Strong written English; this role's output is documentation that functions as a binding technical contract. Strongly preferred Azure AI (AI Foundry / OpenAI / Document Intelligence), plus one of AWS (Bedrock, SageMaker) or GCP (Vertex, BigQuery). LLMOps / MLOps: prompt + model versioning, MLflow or equivalent, eval harnesses, CI that can block a bad prompt. Document AI / OCR at volume; handwriting and low-quality scans, not only clean PDFs. RAG over structured knowledge (graphs, ToS, textbooks) and hybrid search, not only naive chunking. Education, assessment, public sector, or other high-audit domains (health, finance, identity). Certifications: Azure Data Scientist / Azure Solutions Architect; AWS SAA, ML Specialty, or Data Analytics Specialty. Experience with agent security: tool-use limits, DLP on egress, prompt-injection evaluation that is model-specific. FinOps discipline. You have killed a design because it would not survive the token bill. Nice to have Microsoft Fabric, Databricks, Semantic Kernel / Microsoft Agent Framework, MCP (Model Context Protocol) tool integration for agentic workflows. Constraint solvers or exam-blueprint / item-bank systems for automated test assembly. Multilingual generation and feedback, including code-mixed language pairs (e.g. Hindi–English, Spanish–English, or similar). Experience standing up golden/eval datasets with subject-matter experts. Prior work with government data systems, data-sharing agreements, or in-country/sovereign hosting requirements. What this role is not Not a research-only post. Publications help; shipping is the job. Not a pure platform/SRE hire. Infra is part of the design, not the whole design. Not a prompt engineer who hands off “the architecture” to someone else. Not a people manager of a large team on day one — you influence through artefacts and reviews. How we will assess you We value transparency and respect your time. Our hiring process is designed to evaluate both hands-on technical depth and architectural judgment through practical, real-world tasks. Stage 1: Application & Knockout Screening Submit your CV alongside key screening responses Artefact — send two of: architecture note, eval design, runbook, ADR. Slides without decisions do not count. Stage 2: Initial Conversation (30 mins) An introductory screen covering your background, project context and baseline alignment. An opportunity for you to ask questions about our technical roadmap, partner ecosystem, and vision. Stage 3: Practical Take-Home Written Assessment (2–3 hours) Design exercise on a constrained generation + judge + human-review pipeline (we will use a sanitised exam-authoring brief). We want trust boundaries, eval, and cost, not a model-name dump. Stage 4: Deep-Dive Technical & System Architecture Walkthrough Walkthrough of a system you shipped: what failed in review, what you changed, what it costs to run. Stage 5: Final Stakeholder & Vision Alignment Final conversation with key technical leadership and program stakeholders. Employment Details Function: Solutions / Architecture Reports to: Head of Technology / CTO Expected Start Date: Immediate Location: India (remote-first; travel to client workshops as needed) Experience: 8–13 years (strong 6–8 considered if you have shipped production GenAI) Engagement: Full-time Remuneration: Based on candidate’s experience and skillset Flexibility to work across timezones: Our team spans Latin America to Southeast Asia. Early mornings  or late evenings can be a regular part of the rhythm Why join us? Impact at Scale: Your work will directly support the learning journeys of millions of children. With programs active in 31 countries, you will help build Digital Public Goods that bridge the gap for the millions of children across the Global South who still struggle with foundational literacy Innovation at the intersection of Education and Technology: Lead the charge in redefining learning and learning processes through technology. You will contribute to the design and development of cutting-edge learning tools and AI-driven initiatives, ensuring EdTech isn’t just a buzzword, but a scalable solution for global equity. A Culture of Growth and Evidence: At Pratham, we value rigorous testing and continuous learning. You will have the autonomy to experiment with the latest SOTA models, supported by a 5-year strategic roadmap and funding from partners like the Gates Foundation and Anthropic. High-Calibre, Mission-Driven Team: You will work alongside a global team of experts from institutions like MIT, Harvard, and INSEAD. Our alumni have gone on to lead successful startups and international policy shifts, all while remaining dedicated to the goal of “Every Child in School and Learning Well.” Inclusive and Collaborative Environment: Join a diverse team that spans Asia, Africa, and Latin America. We value innovative thinking and local expertise, ensuring that the technology we build is deeply rooted in the realities of the communities we serve. Pratham International is an equal opportunity employer and encourages all qualified people from diverse backgrounds to apply for positions within our organisation, regardless of race, gender, disability or any other status.

Условия: — формат работы 5/2 (офис 5 минут от м. Смоленская) — ДМС — по ЗП готовы отталкиваться от ожиданий кандидата — 13-я зарплата — сильная техническая команда — участие в развитии и модернизации инфраструктуры компании Задачи: — сопровождать и развивать ИТ-инфраструктуру компании — администрировать серверную и сетевую инфраструктуру — поддерживать Windows Server, Hyper-V, Exchange и сервисы 1С — обеспечивать резервное копирование, мониторинг и отказоустойчивость — участвовать во внедрении решений по информационной безопасности — диагностировать и устранять инфраструктурные инциденты — участвовать в модернизации и развитии инфраструктуры Требования: — опыт системного администрирования от 5 лет — Windows Server, Hyper-V, сетевое администрирование — понимание ИБ, резервного копирования и отказоустойчивости — опыт работы с инфраструктурными инцидентами — самостоятельность и системный подход

Вакансия арт-директора в международном digital-агентстве полного цикла и студии продуктового дизайна Beavers Brothers Global. Удалённая работа. Подробное описание вакансии доступно по ссылке: https://docs.google.com/document/d/1gN4NwZ6v_MSCMWAE3R7mez7LScSjJMpRCnBAS63TaZA/edit?tab=t.0

Location: Paris, France Workplace: Hybrid We’re a team of experts pushing the limits of what’s possible, united by our common goal to unlock true freedom through digital ownership, making technology accessible for all. We believe in a world where users, creators and enterprises manage their value with ownership and freedom. Our curiosity drives us to innovate, empowering individuals on a global scale. We believe change is constant and our team moves forward as one, with a culture of problem-solving where every employee is empowered and supported to challenge tradition and create solutions. Our mission is simple: to make self-custody accessible and give people the keys to their own financial futures. If you want to make a true impact, we want you to join us at Ledger. At Ledger, we’re proud to be the global platform for digital assets and Web3, with over 20% of the world’s crypto assets secured through our Ledger devices. With our headquarters in Paris, and offices in Vierzon, Grenoble, Montpellier, London, Portland, Geneva, Zurich and Central Singapore, we have a team of around 600 professionals developing a variety of products and services to enable individuals and companies to securely buy, store, swap, grow and manage crypto assets – including the Ledger hardware wallets line with more than 7.5 millions units already sold in 200 countries. The team: You'll join the Data Team, responsible for turning data into actionable insights and recommendations for our consumer sales and marketing operations across all channels. What you’ll be doing: - Own consumer sales analytics end to end: Ledger.com http://Ledger.com, Amazon, wholesale and resellers, from sell-in to sell-out, with one consistent view of revenue, units and margin - Measure the true incremental impact of pricing, promotions and marketing campaigns with rigorous causal methods and experiments, and turn the results into budget recommendations for the Growth team - Develop and improve data models (dbt/Snowflake) across varied data sources (sales, sell-out, marketing, web analytics) with the support of the data engineering team; co-own data quality alerting - Own performance marketing measurement (attribution, ROAS, CAC), reconciling ad platforms, GA4 and internal sales data into a single source of truth - Build and maintain Tableau dashboards that give business teams a clear, reliable view of their performance - Model customer value (LTV, repurchase behavior, services attach) and feed it back into marketing ROI decisions - Work as part of an AI-augmented team: use LLM-based workflows and AI agents daily to automate analyses and accelerate delivery - Create and deliver presentations that turn complex analyses into clear recommendations for stakeholders up to ExCom level What we’re looking for: - Proven hands-on data science experience applied to business decisions: you have run causal inference studies (CausalImpact, difference-in-differences, synthetic control, geo-experiments) and/or built predictive models (LTV, repurchase, propensity) whose results changed a budget or pricing decision - Strong statistical rigor: comfortable with experiment design, confidence intervals and power, and able to clearly say when a result shows no detectable effect - 2 to 4 years of experience in data analytics, analytics engineering or data science - Strong SQL - dbt skills are a plus - Tableau skills are a strong plus - Data driven and business oriented; able to challenge stakeholders' methodology - Familiarity with marketing/web analytics data: GA4, ad platforms (Google Ads, Amazon Ads), affiliation networks are a strong plus At Ledger, we are dedicated to continually investing in our employees which is why we offer more than just salaries; we provide comprehensive compensation packages that include a wide range of benefits. Here are some of the benefits you can look forward to: - Flexible work options - Our hybrid policy allows employees to work from home up to 3 times per week - Health & Wellness support - Health and Life Insurance. - Financial growth opportunities - Employees can become shareholders in Ledger as well as other financial benefits depending on your country of work. - Commuter allowance - Ledger offers a commuter allowance to contribute to your preferred means of transportation. - Learning & Development - A comprehensive suite of training solutions providing a personalised learning experience for every employee. For regionally specific benefits, your Talent Acquisition contact will be able to provide you with more information.   We’re committed to building an inclusive hiring process. If you need any adjustments or accommodations, just let us know, we’ll do our best to support you.

Location: GE; PL Workplace: remote Overview: SOFTSWISS is looking for a Middle Account Manager to join our team and work with clients using the SOFTSWISS Game Aggregator. The Game Aggregator is a fast and cost-effective solution that helps casino operators integrate and manage gaming content easily. In this role, you’ll build strong client relationships, support their day-to-day needs, and help them get the most value from our product. About Product: Game Aggregator: The SOFTSWISS Game Aggregator is a high-load casino games API platform that connects operator platforms to multiple remote game servers via a single integration. Behind the product is a team of engineers, DevOps specialists, integration experts, account managers, and partnership professionals who ensure reliable, secure, and scalable operations for operators worldwide. You’ll solve complex technical challenges and help power one of the industry’s leading aggregation platforms. Purpose of the role: You’ll support and develop relationships with casino operator clients, helping them achieve their goals while ensuring a smooth and positive experience with the Game Aggregator. Your work will contribute to client satisfaction, account growth, and long-term partnerships. Key responsibilities: Manage day-to-day communication with casino operator clients and act as a reliable point of contact for their requests Build strong, long-term client relationships by understanding their needs and providing timely support Identify opportunities to introduce relevant services, game content, and other solutions to existing clients Monitor account and product performance, analyse data, and highlight opportunities for improvement Coordinate with Product, Technical Support, and other internal teams to resolve client issues and requirements efficiently Stay informed about iGaming market trends and competitor activity to provide relevant insights to clients Required Experience: 2+ years of experience in Account Management, Customer Success, or a similar client-facing role Strong written and spoken English at B2+ level Experience building and maintaining strong relationships with clients Ability to analyse data and turn findings into practical recommendations Strong problem-solving skills and the ability to handle client issues efficiently Confident communication and collaboration with international, cross-functional teams Nice to have: Written and spoken Russian Experience in the iGaming industry or working with B2B digital products Main Advantages Private health insurance Sports benefits Comprehensive Mental Health Program Free English lessons (online) Local language courses Paid time off Maternity leave support Referral program rewards Upskilling, internal workshops, and participation in professional conferences and corporate events

Location: GE; PL Workplace: remote Overview: SOFTSWISS is looking for a Junior Account Manager to join our team and work with clients using the SOFTSWISS Game Aggregator. The Game Aggregator is a fast and cost-effective solution that helps casino operators integrate and manage gaming content easily. In this role, you’ll build strong client relationships, support their day-to-day needs, and help them get the most value from our product. About Product: Game Aggregator: The SOFTSWISS Game Aggregator is a high-load casino games API platform that connects operator platforms to multiple remote game servers via a single integration. Behind the product is a team of engineers, DevOps specialists, integration experts, account managers, and partnership professionals who ensure reliable, secure, and scalable operations for operators worldwide. You’ll solve complex technical challenges and help power one of the industry’s leading aggregation platforms. Purpose of the role: You’ll support and develop relationships with casino operator clients, helping them achieve their goals while ensuring a smooth and positive experience with the Game Aggregator. Your work will contribute to client satisfaction, account growth, and long-term partnerships. Key responsibilities: Manage day-to-day communication with casino operator clients and act as a reliable point of contact for their requests Build strong, long-term client relationships by understanding their needs and providing timely support Identify opportunities to introduce relevant services, game content, and other solutions to existing clients Monitor account and product performance, analyse data, and highlight opportunities for improvement Coordinate with Product, Technical Support, and other internal teams to resolve client issues and requirements efficiently Stay informed about iGaming market trends and competitor activity to provide relevant insights to clients Required Experience: 2+ years of experience in Account Management, Customer Success, or a similar client-facing role Strong written and spoken English at B2+ level Experience building and maintaining strong relationships with clients Ability to analyse data and turn findings into practical recommendations Strong problem-solving skills and the ability to handle client issues efficiently Confident communication and collaboration with international, cross-functional teams Nice to have: Written and spoken Russian Experience in the iGaming industry or working with B2B digital products Main Advantages Private health insurance Sports benefits Comprehensive Mental Health Program Free English lessons (online) Local language courses Paid time off Maternity leave support Referral program rewards Upskilling, internal workshops, and participation in professional conferences and corporate events

Tech Hive UAE, a digital and IT firm based in Dubai, is seeking a Middle DevOps Engineer to join their on-site team. The role involves managing and optimizing infrastructure, automating deployment processes, and ensuring system reliability and scalability. Candidates should have experience with cloud platforms, containerization, CI/CD pipelines, and infrastructure as code tools. Strong problem-solving skills and the ability to collaborate with development teams are essential. The position is located in Dubai, UAE, requiring presence at the company's office.

Location: New York, NY Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and that’s where you come in! At Duolingo, you’ll join a team that cares about educating our users, experimenting with big ideas, making fact-based decisions, and finding innovative solutions to complex problems. You’ll have limitless learning opportunities and daily collaborations with world-class minds — while doing work that’s both meaningful and fun. Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world. Read our blog to learn more. About the role... Join us to build Duolingo Ads, Duolingo’s premium programmatic business. Most learners use our free, ad‑supported app—so great ads are core to our mission. Reporting into the Head of Ad Sales, the Ad Sales Lead, Programmatic will build a deal‑led book of business with agency holding companies, independent agencies, and advertisers who want access to Duolingo’s native formats, first‑party learner signals, and one of the most engaged mobile audiences in the world. You will own buy‑side relationships across holdco investment and programmatic teams, trading desks, curation and principal media groups, and premium programmatic buyers. This is a high‑ownership, high‑visibility, early‑stage opportunity to help define how programmatic can fuel high‑quality ads for millions of learners while driving outcomes for partners. 🧠  You will... Own a programmatic revenue target and forecast, and build a predictable pipeline across agency holding‑company programmatic and investment teams, trading desks, independent agencies, and premium programmatic buyers. Lead our shift from open auction to premium, deal‑led PMP/PG by packaging Duolingo’s native formats and first‑party learner signals into always‑on and custom deals that buyers will pay a premium for, and negotiate annual and upfront commitments that make that revenue durable. Become the person holdco programmatic teams call about mobile app inventory: run joint business planning; get Duolingo onto preferred supply paths, curated marketplaces, and principal/outcome‑based buys; and defend our position when buyers consolidate Build the programmatic value proposition and measurement story through proposals, pricing narratives, and post‑campaign proof that connect our native formats and audience data to brand and performance outcomes (e.g., verification, attention, brand lift, incrementality, MMM). Partner with Ad Platform Operations and Ad Ops on deal setup, targeting, floors, pacing, and troubleshooting—ensuring what you sell is deliverable and delivers against expectations. Work alongside our direct sellers under clear rules of engagement so programmatic expands the account through incremental value; coordinate with Account Management pre‑ and post‑sale to drive renewal and expansion. Feed structured market intelligence back to sales, product, and engineering leadership about what buyers need in pricing, packaging, audience segments, formats, and integrations, balancing this input with our learner‑first standards and operational quality. Establish the operating rhythm for a scaling programmatic business via account planning, outreach cadences, deal hygiene in CRM, pipeline rigor, and repeatable playbooks the next sellers can run. ✅  You have... 8+ years in digital advertising, including at least 4 years selling programmatic on the sell side (publisher/platform/app) or in a holding‑company programmatic/investment role, carrying and hitting a quota; demonstrated PMP/PG selling and trading‑desk engagement. A demonstrated book of PMP and PG business you personally sourced, negotiated, and grew. Experience selling premium mobile or consumer app inventory—especially video and native/custom formats—through programmatic channels to top‑tier advertisers and agencies. Strong understanding of ad tech and mobile app ecosystems, including DSP/SSP workflows, deal IDs, verification/measurement, and using data to inform pricing and packaging. Excellent communication and presentation skills; clear, concise storytelling for both technical and non‑technical audiences. ⭐  Exceptional candidates will have... Deep, current relationships with programmatic leads at major agency holding companies and larger independents. Experience moving partners from a heavy open‑auction mix to meaningful always‑on/custom PMP/PG alongside direct sales—and knowing what actually moved the deal (packaging, pricing, supply path, or sales motion). Sold against first‑party audience segments or custom data products, not just inventory. Hands‑on partnership with Ad Ops on deal setup, SSP onboarding, and campaign QA to improve fill, CPMs, and delivery quality. The offered salary is dependent upon several factors, including work experience, skills, and internal peer comparisons. The posted range is subject to change in the future. For this role, base salary is supplemented by equity compensation. We encourage you to talk with your recruiter for more information related to compensation for this role! Salary Range: $152,000 — $228,000 USD Benefits: Take a peek at how we care for our employees' holistic well-being with our benefits here . Job Alerts: Sign up for job alerts here . Accommodations: We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact accommodations@duolingo.com . Equal Employment Opportunity: Duolingo is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Fraud Warning: Unfortunately, there is a rise in scammers pretending to be real Duolingo employees. Duolingo and our employees will never ask for your Social Security number, bank details, or passport info, and we’ll never ask you to deposit a check, purchase equipment, or exchange money during the interview process. Real Duolingo employees always use an email that ends in @duolingo.com or @recruiting.duolingo.com. Stay alert and double-check these details before sharing any information. By applying for this position your data will be processed as per the Duolingo Applicant Privacy Notice .

Задачи: — вести социальные сети и аккаунты компании; — участвовать в создании контент-плана; — контролировать работу таргетолога и контекстолога; — анализировать рекламу, заявки и основные показатели; — готовить отчётность; — контролировать выполнение маркетинговых задач; — предлагать идеи по продвижению и развитию бренда. Требования: — опыт работы SMM-специалистом от 1 года — обязательно; — понимание основ digital-маркетинга; — умение работать с контентом и социальными сетями; — ответственность и инициативность; — аналитическое мышление; — желание развиваться в маркетинге. Условия: — город: Алматы, Радостовца 165/1; — график: 5/2, понедельник–пятница; — формат работы: только офлайн; — зарплата: 300 000 тг.

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 As Head of Customer Success, APAC at Anthropic, you will build and lead our Customer Success function across Asia Pacific. You will scale a team of managers and CSMs who help our most strategic APAC customers realize the full value of Claude. This is a foundational leadership role: you will establish how we run CS in the region, hire and develop a multi-market team of managers, and partner closely with your global counterparts to deliver a globally consistent customer experience while localising where it matters. APAC is not one market. You will lead across India, Japan, Korea, ASEAN, and Australia and New Zealand (ANZ), each with its own buying culture, regulatory context, language needs and pace of AI adoption. You will work hand-in-hand with global GTM, Product and Engineering leaders to shape our APAC CS strategy, take APAC customer priorities back into the business, and drive adoption, retention and growth across some of the most exciting markets in the world. Key responsibilities Build and lead a multi-layered Customer Success organisation across APAC, managing managers and scaling the team responsibly as our APAC business grows. Define and execute the APAC CS strategy in close partnership with global CS leadership, aligning with the global agenda while localising approach, motion and programmes for APAC market dynamics. Own CS business outcomes including customer health, retention, expansion and satisfaction across APAC accounts. Hire, develop and coach a high-performing team of CS managers and individual contributors, building a culture that reflects Anthropic's values across Asia's diverse geographies, languages and working cultures. Partner with global CS, Sales, Product and Engineering teams so the voice of APAC customers reaches decision-making forums. Establish scalable processes, playbooks and operating cadences that work across APAC time zones (India to Japan, Korea and ANZ) and overlap responsibly with global teams. Represent Anthropic with senior customer stakeholders across APAC, leading executive engagements, QBRs and strategic account conversations with enterprises, digital natives, startups and public sector bodies. Build strong working relationships with APAC channel and cloud partners, and with systems integrators and consulting firms that shape enterprise AI adoption in the region. Contribute to global CS strategy as a senior leader, bringing an APAC perspective to team planning, segmentation and prioritisation. Help shape how we deploy AI responsibly with customers across APAC's varied regulatory environments, including data residency, privacy and sector rules in markets such as India, Japan, Korea, Singapore and Australia. Minimum qualifications 15+ years of experience in management consulting, technology consulting, professional services or customer-facing advisory roles, with a track record of advising senior client executives on complex transformation programmes. Experience building and leading multi-market Customer Success or Technical Success organisations, including managing managers Track record of scaling CS teams across APAC at enterprise software, SaaS or AI/ML companies Demonstrated ability to balance global alignment with regional localisation across multiple APAC markets and cultures. Strong people leadership: a clear philosophy on hiring, coaching and developing managers and senior ICs. Experience owning enterprise customer relationships and driving measurable business outcomes (retention, expansion, adoption) in APAC markets. Strong executive presence and the ability to represent a company credibly with C-suite stakeholders across APAC. Excellent cross-functional partnership skills, particularly working across time zones with global leadership teams. Preferred qualifications Experience leading Customer Success across APAC Working fluency in an APAC language (for example Japanese, Korean or an ASEAN language) or a strong record of leading teams that operate in those languages Experience standing up a CS function in a new APAC market from the ground up Background in API products, developer platforms or consumption-based business models Familiarity with AI/ML technologies and the ability to explain complex technical concepts to business audiences Experience working with APAC hyperscaler, channel and SI partners on joint customer delivery Track record of influencing global product roadmaps through structured customer feedback from APAC markets Passion for responsible AI development and deployment Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Limassol, Cyprus Workplace: hybrid We are a leading trading platform that is ambitiously expanding to the four corners of the globe. Our top-rated products have won prestigious industry awards for their cutting-edge technology and seamless client experience. We deliver only the best, so we are always in search of the best people to join our ever-growing talented team. Responsibilities: Regulatory Monitoring & Analysis: Stay up to date with legal and regulatory changes, keeping abreast of industry and legal and regulatory developments to ensure that the organization is aware of emerging compliance requirements. Interpret new regulations and determine their impact on company operations. Policy and Procedure Review: Assess existing company regulatory compliance manuals, policies, and procedures to verify their alignment with current regulations and best practices. Work closely with management to recommend updates or improvements to maintain a robust compliance framework. Compliance Monitoring Program: Conduct regular and thorough reviews of company operations, processes, and documentation for AML and regulatory compliance to ensure compliance with relevant laws, regulations, and industry standards. Identify areas of non-compliance and collaborate with relevant stakeholders to address and rectify issues, including, where required, additional training. Complaints Handling: Investigate and resolve client complaints, including Financial Ombudsman cases, effectively and efficiently. Compliance Enquiries: Respond to compliance enquiries promptly and accurately. Data Analysis and Reporting: Collect and analyze data related to compliance activities, track trends, and produce insightful reports for senior management. Present findings, recommendations, and key performance indicators to support informed decision-making. Risk Assessment: Collaborate with cross-functional teams to identify potential compliance risks within different business units or processes. Develop risk assessment strategies and work towards implementing effective risk mitigation plans. Regulatory Impact Analysis: Determine whether a reported incident is a breach, an incident or no action, determine reportability to CySEC, and record the reasoning. Support Product Governance: Contribute to the product approval process, target market identification and product description forms, and keep Key Information Documents and disclosures up to date. Due Diligence: Provide the required information and documentation to key service providers conducting due diligence on the Company. Compliance Support and Approvals: Provide advice and guidance to employees of various departments ranging from Customer Support to Back Office and Marketing. Review client communication to ensure this is in line with best practice and regulation. External Support: Coordinate and assist, when requested, with authorities and/or external auditors during regulatory and compliance audits. Prepare requested documentation, facilitate access to necessary information, and address inquiries as needed. Support CRS and foreign tax authority correspondence. Training and Awareness: Develop and deliver compliance training programs for employees to enhance their understanding of regulations and ethical standards. Foster a culture of compliance awareness throughout the organization. Continuous Improvement: Drive ongoing enhancements to the compliance monitoring process by identifying areas for optimization and implementing innovative solutions to streamline procedures. Task Management & Proportionality: Balance strategic oversight with operational involvement, managing a diverse set of tasks. Apply complex regulatory obligations in a risk-based, proportionate manner to support commercial activity responsibly. Legal : Maintain a close collaboration with legal. Requirements: Bachelor’s degree in Law, Finance, Business or related field; professional certifications (e.g., CAMS, ICA) highly desirable. Excellent English communication skills verbally and written. CySEC Advanced Certification, or availability to obtain it during the probation period. Minimum of 5-7 years of experience in compliance, preferably within the financial services industry, with a focus on online trading or brokerage. Proven ability to interpret and implement financial regulation and AML/CFT frameworks. Comfortable operating autonomously and managing multiple workstreams. Skilled at balancing regulatory rigor with business practicality. Excellent written and verbal communication; able to engage confidently with senior management and regulators. What you will get in return: • Competitive Salary: We believe great work deserves great pay! Your skills and talents will be rewarded with a salary that makes you feel valued and motivated. • Work-Life Harmony: Join a company that genuinely cares about you - because your life outside of work matters just as much as your time on the clock. #LI-Hybrid • Generous Time Off: Need a breather? Our annual leave policy lets you recharge and enjoy life outside of work without a worry. • Employee Referral Program: Love working here? Share the love! Bring your talented friends on board and get rewarded for growing our awesome team. • Comprehensive Health & Pension Benefits: From medical insurance to pension plans, we’ve got your back. Plus, location-specific benefits and perks! • Workation Wonderland: Live your digital nomad dreams with 30 extra days to work remotely from anywhere in the world (some restrictions apply). Adventure awaits! • Volunteer Days: Make a difference! Take two additional paid days each year to support causes you care about and give back to the community. Be a key player at the forefront of the digital assets movement, propelling your career to new heights! Join a dynamic and rapidly expanding company that values and rewards talent, initiative, and creativity. Work alongside one of the most brilliant teams in the industry.

Location: Tel Aviv-Yafo, Gush Dan, Israel About At-Bay We are an insurance company built by cybersecurity experts, leveraging our technology and security expertise to better understand digital risks and, thus, build better insurance products and services. We help clients by providing insurance products, guidance on their security issues, and active risk management. Like software, digital risk is eating the world and we aim to empower businesses to thrive in this ever-changing landscape. We are distributed globally with hubs in San Francisco, New York City, Atlanta, and Tel Aviv. We have aggressive plans to scale our business and believe the best way to make that happen is to immediately invest in further developing our teams. Responsibilities: Planning and execution of complex, diverse software delivery systems Work closely with the Data Team and build their infrastructure as a code Responsibility for building the CI/CD processes for Data Lakes, pipelines, ETL's etc. Take important part in the design & the architecture new workloads and components Research and integrate new technologies into our stack Automate everything. From enormous continuous integration, deployment and delivery pipelines, to small but life changing utilities. Qualifications: 4 years of experience as a DevOps Engineer Experience writing code with Python & Bash- a must Strong hands-on experience with AWS is- a must Experience working with Serverless and data components (Glue, sagemaker, EMR, Lamda's etc...) - an advantage Proficient in modern CI/CD techniques, GitOps (Jenkins, Github Actions, ArgoCD) Proven experience in managing production environment at scale in cloud environment Infrastructure as a code (IaaC), preferably Terraform - a must Independent, autodidact, creative problem solver with excellent debugging skills Location : Tel Aviv, Israel What you'll get A competitive salary, and equity in a super fast growing company, taking over commercial insurance A strong emphasis on work-life balance Beautiful offices in the heart of Tel Aviv, near the train station and main bus stops Passionate, smart, and fun people to work with You will never lack a challenge, we are a unique blend of a fast growing tech startup, an international firm, and an insurance company

Партнёрство на процент от сделок: помогайте бизнесу получать сайты и ботов, забирайте 20% с каждой сделки. Как это работает: — Вы находите человека или компанию, которым нужен сайт, бот или автоматизация. — Передаёте контакт работодателю, который ведёт переговоры и закрывает сделку. — После оплаты клиентом вы сразу получаете 20% от суммы проекта. Нет планов продаж, отчётов и привязки ко времени. Подходит как дополнительный заработок для специалистов из Digital-сферы (SMM, дизайн, реклама).

Location: Singapore About us The Financial Times is one of the world’s leading news organisations, globally recognised for its authority, integrity and accuracy, with a mission to deliver quality information and services worldwide. At the FT, curiosity thrives and ambitious thinking is rewarded. Here, you’re given the chance to reach millions, create work that matters and deliver impartial journalism in a polarised world. In our warm, collaborative culture, you’ll connect with a diverse community of experts who support your growth, career aspirations and wellbeing. Your future at the FT will be filled with opportunities that challenge and inspire you. With no fixed path, you’ll discover new skills and forge a career that can take you anywhere. Build a newsworthy career at the FT. Our commitment to diversity, equity and inclusion We believe in the power of unique perspectives and want all voices in our organisation to be heard, respected and valued. A supportive workplace is one where employees feel they can be themselves and operate to their full potential. We are committed to removing barriers for everyone, with a focus on addressing those faced by underrepresented groups. The Role / Position overview FT Studio is an in-house creative team that produces partner content for the FT. We create editorially driven and visually impactful client-branded content, from animations to immersive and interactive digital experiences, mini-documentaries, and podcasts. Maintaining the FT tone of voice, FT Studio’s content sits naturally within the newspaper’s editorial environment. As Senior Content Producer at FT Studio, you will have exceptional storytelling and production skills.  You will lead creative projects from ideation to completion, working collaboratively with various teams including writers, editors, video teams, and designers. This is a hands-on role for an experienced producer who can confidently represent the business in-market, make independent decisions, develop trusted regional partnerships and establish a scalable production operation across APAC. This role will be based in Singapore and work closely with FT colleagues in the region. It will report into an EP in London, liaising closely with the core team based there. Key Responsibilities Creatively develop and lead multimedia projects from ideation to completion, with minimal guidance from an Executive Producer, including but not limited to documentaries, animations, podcasts, digital interactives, and articles Work with an Executive Producer to execute the delivery of larger projects that require more oversight Work with clients and the Client Solutions team to develop a content strategy, creative and editorial direction, and establish clear project communication Act as a content lead on campaigns, developing professional relationships with clients, and confidently discussing content ideas Ensure the content supports the client’s brand goals while upholding the values of the Financial Times Manage the end-to-end production process on multiple campaigns, collaborating with internal and external stakeholders Troubleshoot multiple projects simultaneously Write creative briefs for designers Develop and write video scripts Direct video shoots and post-production – this may require travel and flexible working hours Review, test, and proofread content before sending to clients Stay up-to-date on global business trends and FT trending topics Drive content innovation by staying on top of branded content trends and proposing original ideas and new formats Advise on social media and video analytics strategy where needed to assist in the performance of multimedia content Work with Executive Producers and the Client Solutions team to assist in the ideation and development of content proposals Work with the Global Client Services team to assist in the integration of new ways to serve clients Work with Senior Production Manager to help develop effective workflows and processes Actively contribute to FT Studio’s positive working culture by being a team player Required Skills / Experience Minimum of 8 years of experience in video and digital content production Strong leadership skills, with the ability to motivate and manage teams effectively Strong understanding of journalistic storytelling and editorial processes, with the ability to translate complex subjects into compelling, audience-first content Demonstrable experience developing content for business audiences, with a strong understanding of B2B communications and thought leadership. Experience working with clients in financial services, professional services, technology or other complex, regulated sectors Expertise leading video teams, designers and developers to create video and digital content Strong understanding of how editorial credibility and commercial objectives can be balanced to create high-quality branded content Proven track record of success working in a fast-moving agency setting or complex multi-stakeholder environment with a tolerance for ambiguity Degree or demonstrable interest or experience in a related field (e.g. Communications, Media Production, Journalism, Marketing) Excellent command of English; ability to speak any local languages in Asia is a plus Previous working experience in the Asian Pacific region will be advantageous What’s in it for you? Our benefits Our benefits vary by location, but we are committed to providing best-in-class perks across all our offices. These include generous annual leave, medical cover, inclusive parental leave packages, subsidised gym memberships and opportunities to give back to the community. Full details of our benefits are available here . We currently operate a hybrid model which requires staff to work onsite 50% of the time, subject to role requirements & regular review. While flexible working requests will be considered, not all patterns are suitable for all roles. We believe this balanced approach supports flexibility and protects our culture, making collaboration and communication easier, building stronger relationships and team cohesion, and supporting peer learning. We reserve discretion on reasonable notice to change this approach either generally or for specific individuals or teams. Accessibility We are a disability confident employer and Valuable 500 signatory. Please let us know if you require any reasonable adjustments/personalisation as part of the application process or to enable you to attend an interview. If you would like to discuss your requirements or have any questions, email talent@ft.com and a member of our team will be happy to help. Further information At the FT, we embrace innovation and the use of technology and appreciate that individuals may use AI tools as part of their job application process. Whilst we are happy for you to use AI to assist with your application, it is critical all information provided is authentic and accurately represents your skills, experience, and qualifications. Candidates should be aware that the use of AI throughout the application process may be monitored to ensure a fair and transparent hiring process for all. Please beware of fraudulent job postings and offers claiming to be from the Financial Times. All legitimate opportunities will direct you to apply through the official Financial Times careers site, and the FT will never ask for financial information, payments, or referrals to third parties during the hiring process. If you have any concerns about the legitimacy of a job posting or suspect any scam activity, please contact talent@ft.com. Interested in the FT but don’t see the right role yet? Join our Talent Community to receive exclusive updates, featured jobs, and insights into working at the FT.