Вакансии

Задачи: — проводить penetration testing Web Applications, API, IT-инфраструктуры, сетей, облачных окружений; — искать и подтверждать уязвимости; — проводить security assessments; — готовить технические отчёты; — помогать клиентам устранять найденные проблемы. Требования: — понимание сетей и инфраструктуры; — опыт работы с Windows и Linux; — знание Active Directory, DNS, DHCP; — знание OWASP Top 10.

Location: Noida, India Workplace: hybrid TeamViewer provides a leading Digital Workplace platform that connects people with technology—enabling, improving and automating digital processes to make work work better. Our software solutions harness the power of AI and shape the future of digitalization. We believe that our diverse teams and strong company culture are key to the success of our products and technologies, that hundreds of millions of users around the world and around 645,000 customers across all industries rely on. With more than 1,900 employees worldwide, we celebrate the unique perspectives and talents that each individual brings to the table and foster a dynamic work environment where new ideas thrive. Are you ready to join our team and make an impact? Responsibilities We are looking for a Professional/ Senior Fullstack Software Engineer (all genders) to join our new Integrations & Partner Enablement team in Noida. The team connects TeamViewer products to the enterprise systems our customers run on, such as ERP, warehouse management (WMS) and manufacturing execution (MES) systems, and gives partners the tools to build integrations on their own. You will own integration features end to end, shape technical direction for our SDKs and integration templates, and act as a technical reference and mentor in the team. The work is mostly backend, with web frontend work on our extension tools. You will work closely with engineering and product teams in Europe. Design, build and maintain our Connector SDK, integration templates and backend services using Java/Kotlin with Spring Boot or Node.js/TypeScript. Build web extensions and tooling with React and TypeScript. Drive design decisions for scalable, secure and reusable integrations, applying event-driven and API-first principles. Design data mapping and transformation between our products and enterprise systems such as SAP, WMS and MES. Turn customer-specific integrations into standard, configurable templates. Write developer documentation, samples and guides for partners and system integrators, and support them technically. Drive testing strategy across the stack (unit, integration, contract, end-to-end) and contribute to CI/CD pipelines. Drive adoption of AI-assisted development in the team: set good practices, share workflows and keep quality high. Mentor other engineers, lead code reviews and promote engineering best practices. Requirements A degree in Computer Science, Software Engineering or a related field, or equivalent experience. 6+ years of professional experience in software development across backend and frontend, with a track record of leading technical topics. Strong backend experience with Java and/or Kotlin and Spring Boot, or with Node.js and TypeScript. Solid experience with React and TypeScript. Strong experience with enterprise integration: REST APIs, data mapping and transformation, event-driven integration and messaging. Good understanding of authentication and authorization standards such as OAuth 2.0 / OpenID Connect. Experience with relational and NoSQL databases. Experience with Git, CI/CD, automated testing, Docker and cloud platforms (Azure or AWS). Hands-on experience with AI coding tools (e.g. Claude Code, GitHub Copilot, Cursor) and a clear view on how to use them responsibly in a team. A consulting mindset: able to understand a customer process and turn it into a reusable, standard solution. Experience mentoring engineers and working in agile teams. Good working-hours overlap with Central European Time. Fluent in English (spoken and written). Nice to have Background in SAP consulting or a systems integrator, or at a product company with an integration platform or SDK (e.g. iPaaS, WMS or MES vendors). Experience with SAP integrations (e.g. SAP EWM, SAP S/4HANA, OData, BAPI/RFC, IDoc, SAP BTP / Integration Suite); SAP certification is a plus. Experience with WMS or MES products (e.g. Manhattan, Blue Yonder, Körber, Siemens Opcenter) and understanding of logistics, warehouse or manufacturing processes. Experience building SDKs, developer tools or developer documentation. Willingness to travel occasionally to Europe. TeamViewer is an equal opportunities employer and is committed to building an inclusive culture where everyone feels welcome and supported. We C-A-R-E and understand that our diverse, values-driven culture makes us stronger. As we continue to grow as a company, we also focus on enabling our employees to grow both personally and professionally. We are proud to have an open and embracing workplace environment that will empower you to be your best no matter your gender, civil or family status, sexual orientation, religion, age, disability, education level, or race. If you require any accommodations or adjustments during the application or hiring process, including interview or onboarding support, please reach out to your Talent Acquisition Partner, who will be happy to support you.

Location: Barcelona; Cardiff, London or Remote (UK); London 🚀 We’re on a mission to make money work for everyone. We’re waving goodbye to the complicated and confusing ways of traditional banking. After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as personal and business bank accounts, we offer joint accounts , accounts for 16-17 year olds , a free kids account and credit cards in the UK, with more exciting things to come beyond. Our UK customers can also save , invest and combine their pensions with us. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We’re not about selling products - we want to solve problems and change lives through Monzo ❤️ 📍 London or Barcelona | UK remote | 💰 £124,400 - 165,000 + Incentive Awards tied to your performance + Benefits | Technology — Data We’re looking for a Staff Data Scientist excited to help build the bank of the future. This is a senior individual contributor role for someone who combines deep technical expertise with strong commercial judgement and can apply both to Monzo’s most important and complex challenges. At Monzo, we’re building a bank that is fair, transparent and a delight to use. We’re growing extremely fast and have over 11 million customers in the UK. We’ve built a product that people love and more than 80% of our growth comes from word of mouth and referrals. Enable Monzo to Make Better Decisions, Faster We have a strong culture of data-driven decision making across the whole company. And we’re great believers in powerful, real-time analytics and empowerment of the wider business. All our data lives in one place and is super easy to use. 90% of day-to-day data-driven decisions are covered by self-serve analytics through Looker, which gives data scientists the headspace to focus on more impactful business questions and analyses. As a Staff Data Scientist, you’ll lead efforts on strategically important, business-critical problems. You’ll apply judgement in areas of organisational or technical complexity, steward initiatives end-to-end, and focus your hands-on contribution where it can create the greatest impact. You’ll be a trusted technical partner to senior leaders, raise the bar for Data Science across Monzo, and build capability in others through coaching, reusable approaches and clear standards. Our Data Science team ⭐ We are excited to be expanding and are hiring across our Data Science teams. Whether your interests lie in Borrowing, Growth, Payments, Fincrime, Wealth or Core, we are looking for versatile people who can contribute across squads and collectives. While we allocate teams after the interview process, we aim to match your skills and aspirations with the most suitable role. Throughout the process, you will meet team members from across our Data Science collectives, who will guide you through the opportunities available. Join us and be part of shaping our future! 🔑You’ll play a key role by... Shape and lead the data strategy for a large domain or collective, connecting customer and commercial goals to a clear portfolio of high-impact Data Science work Identify, frame and lead strategically important problems where the path is ambiguous, dependencies span teams, and decisions involve meaningful customer, commercial, regulatory or operational trade-offs Partner with senior leaders across product, engineering, ML, design, research, risk and operations, bringing an independent technical perspective that influences strategy and turns it into measurable outcomes Establish measurement strategies and metric maps that clarify how customer behaviour, product changes and business outcomes connect, enabling teams to test assumptions and make better decisions faster Set and evolve best practices for experimentation, causal inference, forecasting, optimisation and decision science, choosing methods that are proportionate to the decision and its risks Remain hands-on where your expertise is most valuable: exploring complex data, designing analyses and experiments, building models or prototypes, and resolving the hardest technical questions Steward critical data products and initiatives end-to-end, ensuring they are robust, well-governed, clearly documented and adopted by the people who need them Balance pace and analytical rigour, making pragmatic trade-offs while protecting the quality, reproducibility and interpretability of your work Raise Data Science standards across Monzo through technical direction, proposals, reviews, reusable methods and thoughtful challenge Coach and mentor data scientists and analytics engineers, using live projects and wider discipline initiatives to build sustainable capability beyond your own individual output 🤩 We’d love to hear from you if… You have an exceptional track record of leading complex, business-critical Data Science work from ambiguous problem framing through to measurable outcomes You have shaped strategy across a large product or business domain and can influence senior leaders through clear, independent judgement You bring deep expertise across several Data Science disciplines and can set the technical direction for work involving significant complexity, uncertainty or risk You repeatedly create clarity across organisational boundaries, resolve difficult dependencies and turn long-term strategy into decisive action You communicate complex ideas, assumptions and risks with clarity, and hold a consistently high bar for analytical quality, governance and reproducibility You remain a highly credible hands-on practitioner with SQL and Python, while raising standards and multiplying the impact of experienced colleagues The interview process: Our interview process involves: Recruiter Call Initial Call Technical assessment Final Interviews Business Fit/Collaboration Case Study Technical Interview Our average process takes around 2–3 weeks, but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process. We have some guidelines on using Artificial Intelligence (AI) to ace an application and interview at Monzo. You can read them here. For more insight into the hiring experience at Monzo, check out our blog post written by one of our Recruiters - Data Hiring at Monzo . What’s in it for you: 💰 £124,400 - £165,000 + Incentive Awards tied to your performance + Benefits ✈️ We can help you relocate to the UK or Spain ✅ We can sponsor visas 📍 This role can be based in our London or Barcelona offices, but we’re also open to distributed working within the UK (with ad hoc meetings in London). ⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. 📚 Learning budget of £1,000 a year for books, training courses and conferences ➕ And much more - see our full list of benefits . If you prefer to work part-time, we’ll make this happen whenever we can — whether this is to help you meet other commitments or strike a great work-life balance. #LI-Remote Equal opportunities for everyone Diversity and inclusion are a priority for us and we’re making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we’re embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our blog , 2026 Diversity and Inclusion Report and 2025 Gender Pay Gap Report. We’re an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status. If you have a preferred name, please use it to apply. We don't need full or birth names at application stage 😊

Workplace: remote Location : Quantori is an international team: we have colleagues who work not only from office but also remotely from all over the world. Responsibilities : Design, develop, and maintain production data pipelines using Python, Apache Airflow, Snowflake, and Amazon S3 Design and evolve scalable data architectures, including Bronze, Silver, and Gold data layers Develop data models and implement incremental loading, historization, versioning, and reusable transformation patterns Write and optimize complex SQL transformations, views, stored procedures, dynamic tables, streams, tasks, and scheduled jobs Integrate data from relational databases, APIs, object storage, and file-based sources Implement data-quality checks, validation, reconciliation, lineage, monitoring, and robust error-handling processes Manage Snowflake access controls, roles, permissions, service accounts, and deployment across development, staging, and production environments Maintain CI/CD pipelines for Snowflake objects, Airflow DAGs, and Python code using Git and automated testing Monitor and troubleshoot production pipelines and proactively improve reliability and performance Collaborate with data, analytics, engineering, and other technical teams to translate business and technical requirements into reliable data products Create technical documentation and specifications following established quality and compliance standards What we expect : 5+ years of experience in Data Engineering, including at least 3 years working with production data platforms Strong hands-on experience with Snowflake, including Data modeling, RBAC and access management, Warehouse management, Query profiling and performance optimization, Stored procedures Advanced SQL skills, including complex joins, CTEs, window functions, incremental processing, and query optimization Strong Python skills for ETL, database integration, automation, error handling, and testing Production experience with Apache Airflow, including DAG development, dependencies, sensors, task groups, retries, backfills, and operational support Experience working with relational databases, object storage, APIs, and file-based data sources Strong understanding of modern data architectures, including medallion and dimensional modeling, slowly changing dimensions, natural and surrogate keys, and historization Experience with Git, pull requests, automated testing, and CI/CD for data pipelines and database code Strong problem-solving skills and the ability to work independently in a production environment Snowflake and Apache Airflow are core requirements for this role; experience only with alternative data warehouses or orchestration tools would not be sufficient Nice to have : Experience working in regulated or validated environments Background in life sciences, healthcare, clinical, laboratory, genomic, or bioinformatics data Experience working with LIMS or other scientific/clinical data systems Familiarity with OMOP or other standardized clinical data models Experience with data-consumption and visualization tools such as Tableau or Streamlit Familiarity with scientific or computational workflows and tools such as Nextflow or similar workflow orchestration platforms SnowPro certification Experience with AWS Managed Workflows for Apache Airflow (MWAA) We offer : Competitive compensation Remote work Flexible working hours A team with excellent tech expertise

Location: Limassol, Cyprus Workplace: on-site Mayflower is a technology company building large-scale entertainment products for a global audience. Our platforms serve millions of users worldwide and rank among the top-50 most visited websites globally. For more than 10 years, we've been creating reliable, high-performance solutions at the intersection of product, engineering, and entertainment. We’re looking for a Partnerships Manager to build and grow partnerships for Mayflower across technology, hardware, marketing, and content. You’ll manage the full partnership lifecycle: find opportunities, assess their business potential, negotiate terms, work with internal teams to launch them, and measure results. You’ll also support existing partners and find ways to grow these relationships. Job Responsibilities Manage existing relationships: Be the main contact for partners. Stay in touch, resolve issues, review results, and find opportunities to expand cooperation. Find new partners: Research relevant companies and find opportunities. Prioritize them based on business value, fit with our brand and goals, and the effort needed to launch. Build business cases: Estimate potential revenue, costs, resource needs, and return on investment. Explain the expected impact on business metrics and the assumptions behind your estimates. Negotiate and formalize agreements: Agree on scope, commercial terms, responsibilities, timelines, and success metrics. Work with Legal and other teams to document these agreements. Run deep research: Find technology and hardware partners based on product needs, comparing their capabilities, costs, and integration requirements. Ensure that we find the best fit. Drive implementation: Turn agreements into clear launch plans with owners, deadlines, and dependencies. Work with Product, Marketing, Analytics, and other teams to launch partnerships and keep them running. Coordinate joint marketing if needed: Work with partners and the Brand Marketing team on campaigns, promotions, and launches. Set clear goals and agree on how results will be measured. Improve partnership performance: Compare results with expectations. Recommend when to expand, adjust, renew, or end a partnership. You will thrive if you have… 4+ years of experience managing the full partnership lifecycle . Strong negotiation and communication skills. You can work through disagreements and reach clear decisions with partners and internal teams. Ability to manage several partnerships independently, set priorities, and follow through on details. Experience in business development, including finding new partners and managing existing relationships. A track record of taking partnerships from initial discussions through negotiation, launch, and performance review. Strong analytical skills: you can build a business case, assess commercial terms, and estimate the impact on business metrics. Experience delivering projects with product, engineering, and marketing teams. You can turn an opportunity into clear requirements and coordinate the work needed to launch it. Strong written and spoken English. Nice to have Practical experience in marketing, including brand marketing, communications, or user acquisition. Experience in product management, product operations, or product integrations. Experience working with technology companies, hardware manufacturers, or content providers. A basic understanding of APIs and integrations, enough to discuss requirements with technical teams. Experience with joint campaigns, affiliate partnerships, or revenue-sharing agreements. Experience reviewing partners for policy compliance and business risks. An existing network of contacts in relevant industries. Conditions We know that great talent deserves great conditions, so here's what you can expect when joining us: EU-based employment contract and a 3-year Cyprus work visa with full support for your relocation and visa processes, including assistance for your family. Full relocation package: flights to Limassol for you and your family, a company-covered apartment for the first month, and full relocation support to make your move smooth and hassle-free. Transparent performance reviews twice a year, with bonus opportunities and salary adjustments. Private medical insurance for you and your family, a corporate mobile plan (unlimited in Cyprus with roaming included), and interest-free support for car purchases. Mindfulness & well-being support, including psychological assistance with 50% coverage. 50% coverage of school and kindergarten fees for your children. Provident fund (Cyprus): a long-term savings plan co-funded by you and the Company together (available after probation) that grows throughout your time with us in Cyprus. Fully covered sports benefits, and also access to in-house electric scooters and bike rentals. Investment in your growth: paid language courses and access to suited-for-you development programs, including conferences, training programs, and coaching to support your professional journey. A culture of recognition: a peer reward program to celebrate your contributions. A fully equipped office in Limassol’s city center, with everything you need for deep work and collaboration. Free catering in the office and an in-house coffee bar with high-quality drinks and a health bar stocked with nutritious snacks. A strong engineering culture: international teams, corporate events, team buildings, and hackathons—because great work happens in great communities. Recruitment process HR interview (40 min). Test task. Final interview (45 min). Recommendations check. Job Offer.

Location: Kuala Lumpur, Malaysia About Us Established in 2018, Bybit is one of the world’s leading cryptocurrency exchanges and digital financial platforms, serving over 80 million users across more than 200 countries and regions. Powered by world-class technology and a user-first mindset, Bybit delivers a seamless ecosystem across trading, payments, wealth management, custody, institutional services, and Web3 — connecting users to the future of digital finance. Our core values define how we build. We listen, care and improve to create products and experiences that put users first. Backed by a global team of ambitious builders, problem-solvers, and innovators, we foster a high-performance and fast-moving environment where talent is empowered to drive real impact at the global scale. Supported by 24/7 multilingual customer service and a strong commitment to innovation, we are shaping the future of finance through technology, collaboration, and bold execution. Today, Bybit is recognized as one of the most trusted and transparent platforms in the digital asset industry, continuing to expand its global presence while building the infrastructure for the next generation of financial services. About the Role We are at an inflection point where AI is fundamentally reshaping what products can do and how users experience them. We're not just looking for a product manager — we're looking for a hybrid product builder who truly understands AI capabilities and can translate technical potential into real user value. You will lead end-to-end product design for LLM / Agent-powered applications — from zero to one — across domains including intelligent customer service, personalized recommendations, AI assistants, and automated workflows. You are the critical connector between user insights, AI technical capabilities, and business objectives: someone who can discuss RAG retrieval strategies and multi-agent orchestration with ML engineers, while clearly articulating product value and delivery roadmaps to business stakeholders. If you have genuine passion for AI-native products and the ability to define clear product direction amid ambiguity and rapid change, we'd love to build the next generation of AI applications together. Key Responsibilities End-to-End AI Product Lifecycle Management Own the full product lifecycle of AI applications — including intelligent chatbots, AI assistants, recommendation systems, and automated workflows — from requirements definition and product design through to launch and delivery. Produce high-quality PRDs, interaction flow diagrams, and acceptance criteria while driving cross-functional teams to execute efficiently. LLM / Agent Capability Productization Deeply engage in Agent product design, including task planning workflows, tool-calling strategies (Function Calling / MCP), context management mechanisms, multi-agent orchestration logic, and graceful failure/fallback handling. Translate underlying model capabilities into meaningful, perceivable user value. AI Evaluation Framework & Quality Standards Build Harness evaluation frameworks for AI products — designing test scenario sets, evaluation metric systems (accuracy, hallucination rate, task completion rate, etc.), and regression test case libraries. Independently assess AI capability boundaries and drive continuous model iteration and product quality improvement. Conversational Product Design & Knowledge Engineering Lead platform architecture planning for intelligent customer service and conversational assistant products, covering knowledge base structure design, dialogue flow and SOP design, corpus annotation and training strategy, intelligent reply generation, and case summarization. Leverage large-scale data analysis to continuously optimize conversation quality and issue resolution rates. Personalization Engines & Generative UI Products Collaborate deeply with ML and data teams to design recommendation strategies that deliver truly personalized, individualized user experiences. Define generative UI product requirements and drive growth in core business metrics including CTR, conversion rate, and user retention. Establish comprehensive attribution analysis frameworks for recommendation effectiveness. AI Capability Integration with Business Scenarios Develop a thorough understanding of business goals and user pain points. Proactively identify opportunities to apply AI technologies — including RAG, Prompt Engineering, and multimodal capabilities — to concrete use cases. Define clear product evolution roadmaps that balance technical feasibility, user experience, and commercial value. Cross-Functional Collaboration & AI-Native Product Culture Act as the product Owner in close collaboration with algorithm, engineering, data, design, operations, and business teams. Maintain a strong sense of ownership in a fast-moving AI-native environment, continuously track industry developments, and rapidly translate emerging AI capabilities into product innovation opportunities. Requirements Product Experience : 3+ years of product management experience, with at least 1 year of direct hands-on experience delivering AI application products, AIGC products, or Agent products. Must have fully shipped at least one AI-related feature module or standalone product. AI Technical Understanding : Deep understanding of the productization of mainstream AI technologies, including but not limited to: LLM Prompt Engineering, RAG (Retrieval-Augmented Generation) architecture, Agent fundamentals (tool calling / task planning / context window management), and conversational system design. Ability to independently evaluate the product feasibility of technical proposals. Evaluation & Data Capabilities : Proven ability to design AI product evaluation frameworks — independently defining evaluation metrics, building test case sets, and tracking product performance through data analysis. Familiarity with A/B experiment design and a strong data-driven decision-making mindset. Documentation & Communication Skills : Ability to write structured, logically rigorous PRDs, technical requirement documents, and flow diagrams. Excellent cross-functional communication skills with the ability to accurately bridge information between technical and business teams, eliminating information gaps. User Insight & Product Thinking : Sharp ability to translate ambiguous user needs into clearly defined product requirements. Skilled at finding the right product balance between AI capability boundaries and user expectations — avoiding both overpromising and underutilizing model capabilities. Learning Agility & Ownership Mindset : Sustained enthusiasm and capacity for continuous learning in a rapidly evolving AI landscape. Strong sense of ownership — able to proactively define problems, drive decisions, and take accountability for outcomes in highly ambiguous environments. Nice to Have Familiarity with cutting-edge AI engineering practices including MCP ( Model Context Protocol ), Function Calling, and multi-agent orchestration frameworks (e.g., LangChain / AutoGen / CrewAI), enabling deep technical dialogue with engineering teams. Experience with AI Harness / Eval / Benchmark platform product design or usage, with involvement in establishing and maintaining LLM evaluation systems. Background in Fintech / e-commerce / SaaS industries, with an understanding of the unique product design requirements for AI in high-concurrency, compliance-sensitive environments. Bilingual fluency in Chinese and English (spoken and written), with the ability to independently drive product collaboration and cross-cultural communication within international teams. Why Join Us At Bybit, we are committed to fostering a supportive and enriching work environment. Our benefits include: - Study Growth Fund: We support your professional development and continuous learning. - Internal Events: Participate in regular team-building activities, workshops, and events designed to promote collaboration and innovation. - Global Collaboration: Be part of a diverse, international team, working alongside colleagues from around the world. - Career Advancement: Access opportunities for growth and advancement within a rapidly expanding global company. - Internal Mobility: Grow with us- Your long-term development is important to us. We offer internal job opportunities to help build your career path.

Location: Paris Workplace: OnSite Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. Please make your application, including your CV, in English Language. We are a global compliance team headquartered out of London. About the role As a Senior Analyst – Permanent Controls, you will join the Permanent Controls team, a global Second Line of Defence (2LoD) function based across Paris and Mauritius. Reporting directly to the Head of Permanent Controls within the Compliance department, you will focus on the financial perimeter, exercising second-line control, independent oversight, and framework monitoring over the organization's finance domain. You will partner closely with the First Line of Defence (1LoD) to establish control standards, design control matrices, and provide guidance when needed. You will also execute 2LoD control plans, issue formal findings, and track recommendations through to resolution.   Sitting in the Second Line of Defense, the global Permanent Controls team serves as an ongoing, trusted advisor and objective challenge to operational teams (1LoD), helping them design robust controls and ensure operational integrity across the organization. Unlike periodic audit functions, Permanent Controls operates continuously to proactively identify vulnerabilities, standardize control frameworks, and foster a strong risk culture.   Note on Governance: This is a 2LoD function focused on ongoing control design, execution, and 1LoD enablement. It is distinct and independent from the Internal Audit (3LoD) function within Checkout.com.   Key responsibilities - Control Design: Collaborate with stakeholders to translate identified risks into comprehensive 2nd line control plans, standards, and templates. - 1LoD Enablement: Partner with the First Line of Defence teams to design, refine, and assess their control matrices, ensuring alignment with internal standards and regulators' expectations (ACPR, FCA..). - Execution & Testing: Formalize and execute second line permanent controls across critical perimeters, including: - Financial regulatory reporting across global entities (France, UK, US, etc.). - Accuracy of financial data, accounting standards, and reconciliations. - Internal financial processes, procedures, and statutory compliance (including the Order of 3 December 2014). - Safeguarding mechanisms (flow of funds, compliance with safeguarding measures, timelines, and incident monitoring). - Reporting & Escalation: Present detailed control findings and anomaly reports to the Head of Permanent Controls; track the implementation of remediation recommendations. - Proactive Continuous Improvement: Identify operational control gaps, take the initiative to propose practical solutions, and drive improvements to the overall control framework. - Tooling & Automation: Contribute to the implementation and optimization of automated control tools, tracking dashboards, and recommendation monitoring systems whenever possible.   About You - Experience: 5 years of experience in Financial Audit, Internal Control, or Financial Reporting within the financial services (banking, Fintech..) or payments industry. - Regulatory Context: Familiarity with regulatory frameworks and ACPR expectations is strongly preferred. - Mindset & Working Style: - Proactive & Autonomous: A "go-getter" who takes ownership, anticipates control gaps, and brings actionable solutions to the table rather than waiting for direction. - Naturally Curious: A drive to understand end-to-end business operations, data flows, and complex payment mechanics. - Rigorous & Analytical: Meticulous attention to detail with an ability to leverage data analytics to evaluate controls, transactions and processes objectively. - Languages: Fluency in French and English is required. - Communication: Strong stakeholder management skills, with the ability to communicate clear findings and influence decision-making across lines of defence.   Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/

Location: Lisbon, Portugal About the Role We are seeking an experienced UiPath RPA Developer with strong Python skills to join our automation team. The ideal candidate will have hands-on experience designing and deploying UiPath automation solutions, combined with deep Python proficiency for building custom integrations, scripts, and data processing pipelines. You will work closely with business analysts, solution architects, and cross-functional teams to deliver end-to-end automation that drives operational efficiency. Responsibilities Design, develop, and deploy UiPath RPA workflows and automation solutions across attended and unattended processes. Write clean, efficient Python scripts and custom UiPath activities to extend automation capabilities and integrate with external systems. Analyze, debug, and optimize existing UiPath workflows and Python-based automation components to improve reliability and performance. Collaborate with business stakeholders to gather process requirements, conduct feasibility assessments, and translate manual workflows into automated solutions using UiPath Studio. Build and maintain Python-based integrations with REST APIs, web services, and data pipelines that complement UiPath automation workflows. Develop and maintain test frameworks using UiPath Test Suite and Python (pytest) to ensure automation reliability and quality across deployments. Manage and monitor robots via UiPath Orchestrator, including scheduling, queue management, alert configuration, and performance reporting. Maintain version control of UiPath projects and Python code using Git, and support CI/CD pipelines for automated deployment of RPA solutions. Leverage Python for web scraping, data transformation, and pre/post-processing tasks that feed into or extend UiPath automation pipelines. Interact with AWS services (S3, Lambda) and other cloud infrastructure to support scalable, cloud-based RPA deployments. Stay updated with emerging technologies and contribute ideas for improvements. Qualifications Education: Bachelor’s degree in computer science, Software Engineering, or a related field (or equivalent experience). Experience: 3+ years of UiPath RPA development experience, with at least 2 years of strong Python programming skills. Technical Skills: Strong proficiency in UiPath Studio, UiPath Orchestrator, and UiPath Test Suite; UiPath RPA Developer certification preferred. Advanced Python skills including scripting, automation, data manipulation (pandas, NumPy), and API integration. Experience with web scraping tools (e.g., Playwright, Selenium) for browser automation and integration with UiPath workflows. Basic knowledge of SQL and database concepts (e.g., PostgreSQL, MySQL). Experience with version control systems (e.g., Git). Understanding of REST APIs and JSON. Familiarity with AWS services, especially Lambda functions and S3 buckets. Experience building custom UiPath activities or integrations using Python or .NET to extend native UiPath capabilities. Familiarity with Linux/Unix environments. Soft Skills: Strong problem-solving and analytical skills. Ability to work collaboratively in a team environment. Good communication skills and a willingness to learn. Attention to detail and commitment to quality. Preferred Skills: UiPath Advanced RPA Developer or Solution Architect certification. Experience with cloud platforms (AWS, Azure, GCP) for deploying and scaling RPA infrastructure. Familiarity with process mining or task capture tools (e.g., UiPath Process Mining, Task Capture) for identifying automation opportunities. Experience with Agile/Scrum methodologies and automation CoE (Center of Excellence) governance practices. Knowledge of containerization (Docker) and CI/CD tooling (Jenkins, GitHub Actions) for automated RPA deployment pipelines. We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office four days, with the flexibility to work remotely one day (Friday). Benefits iCapital offers a comprehensive benefits package that includes a total compensation program consisting of competitive salary, annual performance bonus, and equity for all full-time employees; healthcare with 100% employer-paid health and dental insurance; and generous paid time off (PTO). For additional information on iCapital Network, please visit https://www.icapitalnetwork.com/about-us Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc

Storyblok is a headless CMS enabling marketers and developers to create and publish content across websites, apps, AI search, and more. The company serves brands like Virgin Media O2, Oatly, and TomTom. Benefits include monthly remote work stipend, home office equipment package and upgrades, sick leave, parental leave, 25 days annual leave plus local holidays, personal development fund, international team-building trips, flexible schedules, and an international team culture. Job Summary: As Director of Product Marketing, you will shape product positioning, launch, and growth in the US, UK, and EMEA markets. This senior, hands-on role requires translating complex technical capabilities into credible narratives and collaborating closely with engineers and executives. You will lead a team focused on sales enablement, website conversion, feature adoption, and market positioning with analysts and review platforms. Your mission is to influence revenue, customer acquisition, and market leadership by clearly articulating Storyblok's value and differentiation. What you’ll bring: - Comfort operating in technical territory, reading API documentation, understanding headless CMS architecture, and engaging with engineers and technical evaluators. - Ability to write accurate, trusted positioning for developers. - Experience working hands-on with developers in technical product marketing, solutions engineering, or related roles. Essential Job Functions: - Product Positioning & Messaging: Own and evolve core messaging and value proposition across audiences; direct customer, market, and competitive research; ensure messaging consistency across channels. - Go-To-Market Strategy & Execution: Own GTM strategy for product launches; define rollout strategies; set launch toolkits standards; establish measurement frameworks. - Sales Enablement & Sales Plays: Build sales playbook aligned to product capabilities and customer pain points; equip revenue teams with content; partner with sales leadership; use data to prioritize enablement. - Analyst & Review Site Strategy: Lead analyst relations strategy; orchestrate briefing cycles; manage presence on review platforms; monitor and respond to reviews. - Website & CRO Performance: Partner with marketing and web teams to ensure clear product positioning; prioritize CRO initiatives; define messaging strategy and success metrics; direct testing and optimization. - Team Leadership: Lead, mentor, and inspire the Product Marketing team; set structure and priorities; coach on messaging and technical fluency; foster ownership and learning culture; develop growth plans; ensure collaboration across teams. Education and Experience: - 8+ years in Product Marketing with 2+ years in leadership. - Proven experience in fast-growing B2B SaaS. - Strong understanding of PLG motions, SaaS business models, and product lifecycle. - Success in GTM execution, analyst engagement, and pricing strategy. - Exceptional communication and executive presence. - Skilled in cross-functional collaboration and stakeholder influence. - Familiarity with Salesforce, Marketing Automation, G2, and PMM platforms (e.g., Klue) is a plus. - AI literacy to leverage AI tools effectively. Location: U.S. Salary Range: $184,200 - $250,000 per year. Work Environment: - Fully remote with home work opportunity or funded co-working space. Storyblok is committed to diversity and inclusion, ensuring a respectful hiring environment regardless of identity or background. To apply, visit: https://weworkremotely.com/remote-jobs/storyblok-director-of-product-marketing-usa

Задачи: — развитие клиентского frontend и admin panel — проектирование и реализация новых фич end-to-end: от технического решения до релиза — работа с React, TypeScript, Node.js — SSR, prerendering, BFF — интеграции с Go-backend — WebSocket, SSE — white-label / multi-theme архитектура — runtime config, design tokens — unit и integration tests — code review и участие в технических решениях Требования: — 3-4+ года коммерческой разработки — сильный React и TypeScript — JavaScript, HTML/CSS, adaptive / cross-browser — state management: Redux, Zustand, MobX или аналоги — понимание HTTP, REST, базовые знания SQL — Git, CI/CD — frontend security: XSS, tokens, validation — умение проектировать решения, читать и ревьюить чужой и AI-generated code Будет плюсом: — опыт с white-label / multi-tenant продуктами — знание design systems / theme systems — опыт работы с Figma → code / design tokens — знание Go — опыт в fintech, crypto, Web3 — понимание agentic workflows, MCP, AI в CI Условия: — полностью удалённая работа — полная занятость — зарплата $2500-3000 — минимум бюрократии и микроменеджмента — много новых продуктовых задач — влияние на архитектуру и продукт — компания оплачивает AI-инструменты

Задачи: — Проектировать и развивать LLM/AI-системы и AI-агентов; — Строить многошаговые agentic workflows: routing, tool calling, state management; — Работать с Prompt Engineering и Context Engineering; — Управлять контекстом, памятью и состоянием диалога; — Реализовывать structured output и function/tool calling; — Строить RAG-пайплайны: chunking, embeddings, retrieval, reranking; — Интегрировать LLM с API, базами данных и внутренними сервисами; — Разрабатывать backend-сервисы на Go и AI-компоненты на Python; — Исследовать новые модели и подходы, быстро проверять гипотезы; — Выбирать модели с учетом качества, latency и стоимости; — Строить систему оценки качества: evals, regression tests, golden datasets, LLM-as-a-judge; — Анализировать логи и traces, улучшать качество и стабильность агентов; — Реализовывать retries, fallbacks, timeouts и обработку ошибок; — Доводить решения от прототипа до стабильного production. Требования: Go: — production-сервисы; — REST/gRPC API; — concurrency; — работа с БД; — микросервисная архитектура. Python: — AI-сервисы и backend; — async; — API; — обработка данных; — быстрое прототипирование. Также важно: — Практический опыт разработки production-приложений с LLM; — Понимание архитектуры современных AI-систем: prompt → context → tools → agent → state → evaluation; — Опыт Prompt Engineering: system prompts, few-shot, prompt chaining, structured output; — Опыт Context Engineering: memory, summarization, динамическая сборка контекста; — Опыт создания AI-агентов и agentic workflows; — Работа с LLM API и понимание особенностей разных моделей; — Понимание RAG: embeddings, vector search, retrieval, reranking, hybrid search; — Понимание evals, regression testing и анализа production-логов; — Опыт с PostgreSQL, MongoDB, Redis, Docker, Git, CI/CD; — Понимание production-подходов: observability, scalability, latency, retries, fallbacks и контроль стоимости. Будет плюсом: — Multi-agent системы; — LangGraph; — MCP; — Langfuse / LangSmith; — Elasticsearch / OpenSearch; — Open-source LLM: Qwen, Llama, DeepSeek и др.; — vLLM / Ollama; — Kafka / RabbitMQ; — Kubernetes; — Оптимизация token usage, latency и стоимости LLM; — Guardrails и защита от prompt injection; — Highload-системы. Ищем инженера, который воспринимает LLM не как простой API, а как компонент большой production-системы. Важно уметь проектировать всю логику вокруг модели: какие данные передать в контекст, какого агента или инструмент вызвать, как проверить результат, обработать ошибку и определить следующий шаг. Ищем software engineer с сильной AI/LLM-экспертизой, который умеет не только написать хороший промпт, но и довести всю систему до стабильного production-решения.

Задачи: — Проектировать и развивать LLM/AI-системы и AI-агентов; — Строить многошаговые agentic workflows: routing, tool calling, state management; — Работать с Prompt Engineering и Context Engineering; — Управлять контекстом, памятью и состоянием диалога; — Реализовывать structured output и function/tool calling; — Строить RAG-пайплайны: chunking, embeddings, retrieval, reranking; — Интегрировать LLM с API, базами данных и внутренними сервисами; — Разрабатывать backend-сервисы на Go и AI-компоненты на Python; — Исследовать новые модели и подходы, быстро проверять гипотезы; — Выбирать модели с учетом качества, latency и стоимости; — Строить систему оценки качества: evals, regression tests, golden datasets, LLM-as-a-judge; — Анализировать логи и traces, улучшать качество и стабильность агентов; — Реализовывать retries, fallbacks, timeouts и обработку ошибок; — Доводить решения от прототипа до стабильного production. Требования: Go: — production-сервисы; — REST/gRPC API; — concurrency; — работа с БД; — микросервисная архитектура. Python: — AI-сервисы и backend; — async; — API; — обработка данных; — быстрое прототипирование. Также важно: — Практический опыт разработки production-приложений с LLM; — Понимание архитектуры современных AI-систем: prompt → context → tools → agent → state → evaluation; — Опыт Prompt Engineering: system prompts, few-shot, prompt chaining, structured output; — Опыт Context Engineering: memory, summarization, динамическая сборка контекста; — Опыт создания AI-агентов и agentic workflows; — Работа с LLM API и понимание особенностей разных моделей; — Понимание RAG: embeddings, vector search, retrieval, reranking, hybrid search; — Понимание evals, regression testing и анализа production-логов; — Опыт с PostgreSQL, MongoDB, Redis, Docker, Git, CI/CD; — Понимание production-подходов: observability, scalability, latency, retries, fallbacks и контроль стоимости.

Location: San Francisco, CA Workplace: Hybrid About Niantic Spatial We are building for the >80% of economic activity that happens beyond the reach of screens. AI has learned from the text, images and video online, but it still lacks an accurate understanding of physical space. That’s one of the biggest unsolved problems in AI, and it’s the one we’re solving at Niantic Spatial. We build spatial AI models and services so people and machines can reason, learn and act safely in the physical world. We turn camera imagery, video, sensor data and archives into accurate, AI-readable representations of real places that robots can train in and machines can use to know exactly where they are. In physical AI, mistakes have real consequences. That’s why we build AI grounded in measured reality, not guesswork, so the people and machines relying on it can trust it to get things right. Our team built some of the world’s most widely used maps. Now we’re building something bigger: a living, measured record of the real world that machines can query, learn from and use to understand how places change over time. If you want to help AI understand the world we actually live in, come build with us. About the Role Niantic Spatial makes the physical world computable, helping people and machines collaborate safely by aligning how they understand reality. One of the fundamental problems we're helping autonomy teams and engineers overcome is the sim-to-real gap for visual-spatial understanding. We're applying our team's decades of experience encoding the world precisely as it is at Google Maps, Google Earth, and Niantic Labs to build the scalable real-to-sim stack for embodied AI. We're looking for a Senior/Staff Product Engineer to join our Embodied AI team. Working alongside the group's GM, Product leader, and robot learning engineer, you'll own how the product reaches customers, build the integrations that make it native to their simulators and deployment stacks, and influence the roadmap. You've turned capabilities into products. You've shipped developer-facing products and watched adoption turn on details nobody planned for. You know that a capability isn't a product until someone outside the building has used it without help, and you're passionate about the work that sits between the two. This is not a role for someone who wants to manage and not ship, or someone who wants to ship without ownership of commercial consequences. This is a role for an entrepreneurial engineer who loves to build and is energized by making the people around them, researchers and customers alike, more effective. You have a co-founder mentality. You may have been part of a founding team before, or want to start your own business one day. What You'll Do - Build the Product Surface - Own how autonomy teams experience our work: the APIs, UIs, packages, and documentation. - Make Our World Native to the Customer's - Turn scans and reconstructions into reliable, interoperable assets that work in customers' simulation tools and workflows, including packaging, metadata, semantic labels, object structure, and selectable variants. - Turn Prototypes Into Capability - Partner with reconstruction, mapping, localization, and research teams to transform prototypes and pipeline outputs into production-grade services and user experiences. - Deliver at Scale - Design and operate backend systems for accounts, organizations, sites, scans, assets, processing jobs, permissions, asynchronous workflows, storage, and data access. - Make It Work - Work directly with customers and internal users to integrate our technology, diagnose failures, improve reliability, and close the gap between intended and actual product behavior. - Influence the Roadmap - Work alongside the group's GM, Product leader, and robot learning engineer to shape what we build and when. What You'll Bring - 6+ years of software engineering experience; Bachelor's degree in Computer Science or a related field, or equivalent practical experience. - Significant experience building and operating production web applications and backend services, with strong fundamentals in API design, data modeling, testing, observability, and reliability. - Shipped developer-facing products — including the documentation and reference code external engineers actually used — and worked with 3D asset formats or comparable binary formats to production depth: you can say what the conventions were, where they broke, and what it cost you. - Proficient in Python and TypeScript, comfortable working across frontend and backend, and able to take a feature from product requirements through to running it in production. - Experience designing asynchronous workflows, long-running jobs, external integrations, and data-intensive systems. Nice to Have - Experience working with robotics simulators or toolchains such as Isaac Sim, Isaac Lab, or MuJoCo, or OpenUSD. - Built products for geospatial, 3D, computer vision, graphics, robotics, or spatial computing. - Worked on visualization or asset-management experiences with React, Next.js, or Three.js. Competencies - Relentless bias for action. You make decisions and ship as if the company’s success depends on it, because it does. You set the pace, and drive the people around you to rise to it. - Intellectually honest. You know there’s just one job that underpins every other in a startup: find the truth. You are relentless in your pursuit of it, including when it challenges your own convictions, and you raise concerns when you see them — even when it's uncomfortable, and especially when it's unpopular. - Pragmatic. You have no patience for not-invented-here syndrome and analysis paralysis. You find the fastest path to a working capability without one-way doors that undermine scaling. - Confident and credible with customers. You can read an autonomy engineer's training config, find why our asset didn't load, and explain the fix in their terms. - Fluent in other people's ecosystems. You'll spend much of your time learning new tools and stacks. You're quick to learn the customer's language, and you can point to something you shipped in a world that was foreign to you a quarter earlier. Compensation & Benefits The base salary range for this role is $207,000 - $265,000, and your offer within it will reflect your experience and the scope you take on. Compensation also includes an annual bonus, equity, and a comprehensive benefits package including medical, dental, and vision coverage, 401(k), and more. Location & Work Model This role is based in our San Francisco office, with three days per week in office. Inclusive Application We know the strongest candidates don't always tick every box. If you're excited about this role and believe you could do it well, we encourage you to apply even if your experience doesn't match every qualification listed - you may be exactly who we're looking for. Equal Opportunity Niantic Spatial is an equal opportunity employer. Individuals seeking employment at Niantic Spatial are considered without regard to race, color, ancestry, national origin, religion, creed, age, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), marital status, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, sexual orientation, or any other protected category under applicable laws. Niantic Spatial will also consider qualified applicants with criminal histories in accordance with applicable laws. Please contact your recruiter if you want to request an accommodation for the job application or interview process. Candidate Privacy I understand that by submitting my job application, the information I provide as part of that application will be used in accordance with Niantic Spatial's Privacy Notice for Job Applicants and Candidates https://www.nianticspatial.com/applicant-privacy-notice.

Location: Pakistan About us Bettersource is the leading provider of global staffing and outsourcing solutions to companies in Australia & New Zealand. About the client Our client is an Australian company operating in the energy comparison industry. About the role We are looking for a hands-on, results-driven Performance Marketer to oversee our client's digital marketing efforts, lead website design and performance, and manage paid Google and Meta campaigns. This is a part-time role to work on a 2 months project which would require 20 hours a week. If you deliver results during the initial 2 months, there is an opportunity to continue working with the client on a long-term basis. Oversee all website projects – from UX/UI updates to landing page performance and CRO. Manage paid Google Ads and Meta (Facebook/Instagram) advertising campaigns. Ensure marketing strategies are implemented effectively, maintain quality control, and monitor campaign performance. Manage media buying across Google and Meta, including campaigns with significant advertising budgets. Leverage APIs to integrate lead forms, automation tools, analytics platforms and CRMs. Report weekly on performance metrics (CTR, CPL, conversions, ROAS) and identify areas for optimization. Create creatives using AI tools and Canva. High-level graphic design skills are not required. Continuously test and optimise campaigns, landing pages, audiences and creatives to improve performance. About you Strong hands-on experience in performance marketing and media buying. Proven experience managing high advertising budgets across Google and Meta. Experience independently setting up and managing landing pages and paid campaigns. Experience with GoHighLevel or equivalent platforms for campaign testing. Comfortable creating basic ad creatives using AI tools and Canva. What we offer Top-of-market salaries. Independent work - from the comfort of home. Your output is important, not how or where you work. An unparalleled work culture. Bettersource is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, or disability status.

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 looking for a Customer Marketing Manager to make sure our most important messages are backed by customers who can speak to them. This role works across regions and customer segments on special projects tied to the company's top priorities. When we launch a new model, feature, or initiative, you'll find the customers who can speak to it and get them on the record. We're looking for an excellent communicator who can turn customer stories into multiple formats that flex across channels. This often means working under compressed timelines and leading customer storytelling on some of the most important projects at Anthropic. You'll work closely with Product Marketing, Sales, Brand, Comms, Customer Marketing segment leads, and the writers on our team. The right person has done both product marketing and customer marketing, and has a reporter's nose for a good story. Key responsibilities Own the customer evidence strategy for the company's top priorities, deciding which claims need customer proof, which customers are best placed to back them up, and where we have gaps to close Bring what customers are telling us back to Product Marketing and Sales, so our messaging reflects what lands with buyers Stand up new programs as company priorities shift, setting the scope, the customer list, and the plan to ship quickly Lead the customer plan for major model and product launches, from which customers we engage with to how their voices show up in the announcement Partner with Brand and Creative on which customer stories anchor our campaigns and how we tell them Build proof point libraries and enablement around our key messages, so account teams know which story to use and when Shape the customer narrative our executives use in keynotes, posts, and customer conversations Prioritize customer asks when several teams want to tap the same customer, and work with Comms, Legal, and customer executives to get high-profile stories approved Minimum qualifications Can read a messaging doc and quickly spot what customer proof it needs and where the gaps are Are a strong writer and interviewer who can get a customer to say something specific and true, then turn it into a story people want to read Have supported product launches and campaigns with customer proof, often on tight timelines Have built sales enablement that sales teams kept using after launch week Are comfortable with technical products and can explain/write what a customer built, and why it matters, in plain language Know how to work across a lot of teams without formal authority, and can say “not yet” when a request doesn't fit the plan Have good judgment about when a story is ready and when it needs more work Enjoy moving between very different projects, sometimes in the same week Already use Claude to help with drafts and interview prep Preferred qualifications Have 7+ years in B2B marketing, with time in both product marketing and customer marketing Worked in AI or developer tools A background in journalism or editorial A background in Product Marketing or Messaging Written keynotes or LinkedIn posts for executives Run message testing or win/loss interviews to learn what buyers respond to Worked with Comms or analyst relations on announcements that featured customers 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: $255,000 — $320,000 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. 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: Port of Brisbane, Queensland, Australia About Bradken Bradken is a global leader in innovative wear solutions and custom-engineered products for the resources sector. For our more than 3,000 people, that global reach creates opportunities to share expertise, solve meaningful challenges and grow through new experiences. Together, we help the resources sector sustainably advance society. We're seeking a Warehouse Dispatch & Inventory Controller to join our Port of Brisbane team. This opportunity has become available due to an internal promotion, making it a great chance to join a supportive team and contribute to a critical part of our supply chain operations. About the role Reporting to the Logistics Manager, you will play an important role in ensuring accurate inventory management and on-time product dispatch. You'll work closely with internal teams, freight providers and customers to support efficient warehouse operations while maintaining high standards of safety, accuracy and service. With a strong focus on Customer Centricity, you'll help ensure products are delivered accurately and on time. You'll demonstrate Innovation by identifying opportunities to improve inventory accuracy and warehouse processes, while embracing a One Team approach through collaboration with your colleagues across warehousing, logistics and customer-facing teams. Key responsibilities include: Coordinating outbound freight and dispatch activities from the Port of Brisbane facility Supporting inventory control activities, including stock counts, discrepancy investigations and stock reconciliations Maintaining accurate inventory and warehouse records using business systems Ensuring products are packaged and dispatched in accordance with Bradken's Freight Policy Assisting with receipting inbound goods and daily invoicing requirements Supporting a safe, efficient and well-organised warehouse environment Participating in stock takes, toolbox meetings and continuous improvement activities What you’ll bring: You are a safety-focused warehouse professional who takes pride in accuracy, reliability and customer service. You enjoy working in a hands-on environment and can effectively manage competing priorities while maintaining attention to detail. You will bring: A current Forklift Licence Year 12 completion Certificate II in Transport, Logistics, Warehousing, Manufacturing or a related discipline (desirable) Experience in a warehouse, dispatch, inventory or logistics environment Strong attention to detail and organisational skills Experience with inventory control and stock management processes The ability to follow documented procedures and work safely at all times Strong written and verbal communication skills The physical capability to work on your feet and safely lift up to 20kg This role is based in Port of Brisbane, QLD Please note: Applicants must have the legal right to work in the country where this role is based. Bradken is unable to provide visa or work permit sponsorship for this role. Why join Bradken? At Bradken, you’ll do work that matters. Whatever your role, your contribution helps solve real challenges for our customers and supports safer, more efficient and more sustainable resource operations. You’ll join a team that values different perspectives, shares expertise and has the courage to challenge how things are done. We support your growth through hands-on experience, learning and development, and opportunities to work across functions and locations. Safety, respect and wellbeing come first, so you can do your best work and enjoy life beyond it. We offer: A safety-first culture Competitive pay and benefits Flexible work options, where the role allows Learning and development opportunities An Employee Assistance Program for you and your family Our hiring process As part of our selection process, we may invite you to complete a one-way video screening at a time that works for you. This helps us provide a fair and consistent experience when working across locations and time zones. If you need an adjustment or an alternative format at any stage, please let us know. Before commencing employment, you will be required to complete a psychometric assessment and a pre-employment medical, including drug and alcohol testing. We respectfully request no recruitment agency approaches. Bradken is an Equal Opportunity Employer. We are committed to providing a diverse, inclusive, engaging and flexible environment for our people. All employment decisions are based on merit, competence, performance and business needs.

Location: Shanghai Workplace: OnSite Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. Global payments are complex and ever-evolving. At Checkout our software engineers develop the next-generation payments technologies that enable our Merchants to boost their acceptance rates, cut processing costs, fight fraud, and create cutting edge technology that enables extraordinary customer experiences. We're looking for Senior Software engineers who bring fresh ideas, have a curious nature and are passionate about working in an Engineering environment which focuses on building products to achieve the company's strategic goals. You’ll get to work with teams from across Checkout.com http://Checkout.com’s portfolio of products and services who all have a real customer first philosophy. As a Senior Software engineer, you will lead and drive specific projects critical to Checkout's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display exceptional leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. With your technical expertise you will lead project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions. WHAT ARE WE LOOKING FOR: - Bachelor's or Master's degree in Computer Science, Engineering, or related field - Proficiency in .NET C#, Java, or Go, with a strong understanding of software development principles in either a backend or full stack environment. - Great communication skills and ability to interact effectively with a wide range of stakeholders - Experience working in agile environments and delivering high-quality code within tight deadlines - Excellent problem-solving skills and the ability to work independently as well as part of a team - Payments or financial knowledge is a plus, but not a necessity   How you’ll make an impact - Be part of, and collaborate with, cross-functional teams including product management, across a large engineering community. - Define and design loosely coupled, scalable systems in a wider microservices using industry best practices. - Stay up-to-date, use, and spread knowledge of the latest technologies used by Checkout. - Write clean, maintainable, extendable and testable code on some of Checkout’s most impactful systems. - Build, own and operate your systems to the highest levels of resilience and service. - Mentor junior team members and assist in their technical development Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/

Location: Bengaluru, India We are looking for a Senior AI Quality Engineer (L3+) with strong Python skills and hands-on experience testing AI and ML systems. You will analyze requirements, define evaluation strategies, build automated checks, validate models and outputs, test APIs and data pipelines, verify defects through resolution, and contribute to release readiness for your assigned product area. You will both evaluate AI systems and design, build, and operate QE agents for the software testing life cycle. AI-assisted work is part of everyday QE practice on this engagement, with Ragas, DeepEval, promptfoo, Cursor, and other AI and ML tools used for evaluation, scripting, test generation, analysis, and maintenance. You will also build golden datasets, calibrate LLM-as-judge methods, test agentic workflows and RAG systems, implement self-healing and intelligent test approaches, and diagnose quality, safety, performance, and cost failures across distributed AI services. This position is intended for Hyderabad-based candidates who are available to work from the office. The client delivers AI agents, retrieval systems, models, and data pipelines across a broad technology landscape. Quality is part of delivery through evaluation gates, automated regression, model and data validation, security and privacy checks, and evidence that a release is ready. Python is the primary language for AI evaluation, model validation, API testing, data-pipeline quality, and QE agent design. The role combines deterministic automation with probabilistic evaluation to assess AI behavior across models, data, retrieval, tools, and integration surfaces, and designs and operates agents that support the software testing life cycle. Analyze requirements and define evaluation strategies, golden datasets, regression benchmarks, baselines, thresholds, and blocking metrics with domain-expert review. Design, build, and orchestrate AI agents, persona-based workflows, and reusable skills for the STLC using LangChain, LangGraph, or Semantic Kernel. Build automated evaluations and benchmarks for LLMs, agents, RAG, retrieval, tool trajectories, and contracts using Ragas, DeepEval, and promptfoo. Calibrate LLM-as-judge against human grading, manage non-determinism through repeated runs, and detect regression and drift. Write and maintain Python and pytest automation for AI, ML, API, data, and integration workflows. Use Cursor and agentic tools to analyze requirements, generate and review tests, and maintain evaluation suites. Validate deep-learning, reinforcement-learning, and predictive models using LangChain. Build AI-assisted STLC workflows for requirements analysis, test design, script generation, execution, self-healing, failure analysis, and defect triage, plus intelligent test selection and defect prediction. Integrate LLMs, APIs, embeddings, vector databases, retrieval pipelines, and enterprise data sources into QE frameworks using Python. Test REST and streaming APIs, agent tools, and RAG and MCP integrations, including authentication, errors, retries, and recovery. Test data and retrieval pipelines for schema integrity, lineage, idempotency, fallback, promotion gates, and rollback. Integrate evaluations, benchmarks, and agent workflows into QE frameworks and CI/CD on GitHub Actions, review Allure results, and keep TestRail aligned with automated coverage. Test prompt injection, jailbreaks, unsafe tool use, data exfiltration, access control, PII controls, and guardrails. Measure accuracy, relevance, groundedness, hallucination, retrieval quality, agent reliability, latency, throughput, token use, and cost, and diagnose distributed failures. Implement tracing, monitoring, and production evaluation using Langfuse, LangSmith, or a comparable AI observability platform. Deploy and operate QE agents on Amazon Bedrock AgentCore or a comparable agent platform, with governance and human oversight. Deploy and validate AI and ML solutions on AWS or Azure, including secrets, database services, and cloud-native test infrastructure. Report, track, and verify defects in Jira, and work with domain experts, product, and engineering on traceable coverage and untested scope. Contribute to release readiness for the assigned product area without owning sign-off for the whole team. Strong Python proficiency with pytest for test and evaluation automation. Hands-on experience building and orchestrating AI agents and agentic workflows with LangChain, LangGraph, Semantic Kernel, or comparable frameworks. Hands-on experience building AI evaluations and benchmarks with Ragas, DeepEval, promptfoo, or equivalent tools. Hands-on use of Cursor or agentic development tools for test generation and maintenance. Experience defining AI evaluation strategies, golden datasets, regression benchmarks, and LLM-as-judge calibration, including non-determinism and drift. Experience validating deep-learning, reinforcement-learning, and predictive models with LangChain. Experience building AI-assisted STLC workflows for requirements analysis, test design, script generation, execution, self-healing, failure analysis, defect triage, intelligent test selection, and defect prediction. Experience integrating LLMs, APIs, embeddings, vector databases, and retrieval pipelines with automation frameworks in Python. Experience testing REST and streaming APIs, agent tools, RAG workflows, and MCP integrations. Experience testing data and retrieval pipelines for correctness, lineage, and safe promotion. Experience integrating AI evaluation and agent workflows with automation frameworks and CI/CD using GitHub Actions, Allure, TestRail, or equivalent tools. Experience testing AI security, privacy, access control, and guardrails. Experience measuring accuracy, relevance, groundedness, hallucination, retrieval quality, agent reliability, latency, throughput, token use, and cost, and diagnosing distributed failures. Experience with AI tracing, monitoring, and production evaluation using Langfuse, LangSmith, or comparable tools. Familiarity with AWS, Azure, or GCP cloud AI services and agent platforms for deploying and validating AI and ML solutions. Experience deploying and operating agents on Amazon Bedrock AgentCore or a comparable agent platform, with governance and human oversight. Experience managing defects through resolution in Jira or an equivalent tool. Ability to work with domain experts, product, and engineering on ground truth and coverage gaps. Experience contributing to release readiness for an assigned product area. Playwright and TypeScript experience for UI and API automation. Real-device and cross-browser execution using LambdaTest, Sauce Labs, or an equivalent platform. Knowledge of AI-driven test optimization and coverage analytics using SeaLights or an equivalent platform. Experience contributing reusable components to shared automation frameworks and reviewing automation code through Git and GitHub workflows. Experience managing test data and troubleshooting test environments needed for reliable execution. Experience triaging security findings and validating operational readiness, monitoring, rollback, and recovery controls. Experience producing audit-ready evaluation reports and improving shared evaluation patterns, automation libraries, and datasets.