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Location: San Francisco, CA 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: You want to build and run elegant and thorough machine learning experiments to help us understand and steer the behavior of powerful AI systems. You care about making AI helpful, honest, and harmless, and are interested in the ways that this could be challenging in the context of human-level capabilities. You could describe yourself as both a scientist and an engineer. As a Research Engineer on Alignment Science, you'll contribute to exploratory experimental research on AI safety, with a focus on risks from powerful future systems (like those we would designate as ASL-3 or ASL-4 under our Responsible Scaling Policy ), often in collaboration with other teams including Interpretability, Fine-Tuning, and the Frontier Red Team. Our blog provides an overview of topics that the Alignment Science team is either currently exploring or has previously explored. Our current topics of focus include... Scalable Oversight: Developing techniques to keep highly capable models helpful and honest, even as they surpass human-level intelligence in various domains. AI Control: Creating methods to ensure advanced AI systems remain safe and harmless in unfamiliar or adversarial scenarios. Alignment Stress-testing : Creating model organisms of misalignment to improve our empirical understanding of how alignment failures might arise. Automated Alignment Research: Building and aligning a system that can speed up & improve alignment research. Alignment Assessments : Understanding and documenting the highest-stakes and most concerning emerging properties of models through pre-deployment alignment and welfare assessments (see our Claude 4 System Card ) , misalignment-risk safety cases, and coordination with third-party evaluators. Safeguards Research : Developing robust defenses against adversarial attacks, comprehensive evaluation frameworks for model safety, and automated systems to detect and mitigate potential risks before deployment. Model Welfare: Investigating and addressing potential model welfare, moral status, and related questions. See our program announcement and welfare assessment in the Claude 4 system card for more. Note: For this role, we conduct all interviews in Python and prefer candidates to be based in the Bay Area. Representative projects: Testing the robustness of our safety techniques by training language models to subvert our safety techniques, and seeing how effective they are at subverting our interventions. Run multi-agent reinforcement learning experiments to test out techniques like AI Debate . Build tooling to efficiently evaluate the effectiveness of novel LLM-generated jailbreaks. Write scripts and prompts to efficiently produce evaluation questions to test models’ reasoning abilities in safety-relevant contexts. Contribute ideas, figures, and writing to research papers, blog posts, and talks. Run experiments that feed into key AI safety efforts at Anthropic, like the design and implementation of our Responsible Scaling Policy . You may be a good fit if you: Have significant software, ML, or research engineering experience Have some experience contributing to empirical AI research projects Have some familiarity with technical AI safety research Prefer fast-moving collaborative projects to extensive solo efforts Pick up slack, even if it goes outside your job description Care about the impacts of AI Strong candidates may also: Have experience authoring research papers in machine learning, NLP, or AI safety Have experience with LLMs Have experience with reinforcement learning Have experience with Kubernetes clusters and complex shared codebases Candidates need not have: 100% of the skills needed to perform the job Formal certifications or education credentials 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: $350,000 — $500,000 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: Thessaloniki; Athens; Limassol; Nicosia; Fully Remote - in other eligible locations Workplace: hybrid The Role:  If you are a Senior Cloud Engineer there may be a place for you at our Group. Outside the usual suspects of solutions, projects, deep troubleshooting and investigations you will also be driving the Group towards its cloud-native goal. Processes, best practices, pillars and their risk assessments will be but a few of the long-term responsibilities you will have. The main responsibilities of the position include: Honour and practice Well Architected Framework in all tasks and responsibilities Research workloads for migrating them to the cloud with minimal interruption and impact Design, orchestrate and track cloud migration projects Design and consult re-platform and re-factor of current cloud infrastructure Coordinate with other IT departments and teams about their cloud infrastructure Investigate and perform regular assessments of cloud deployments in compliance to the Group's standards and best practices Design and orchestrate a risk register of cloud deployments and resources, and coordinate its communication to project managers, senior leadership and other IT departments or teams Research, develop and implement fair use policies and best practices for cloud services while complying to the Group's standards Drive requests for new technologies, services or solutions required from internal customers Design, document and deploy Proof-of-Concepts (PoCs) and Solutions for internal customers in compliance with the Group's framework Define and oversee the Group's deployment standards and pillars and ensure they are applied across cloud solutions and resources Follow and provide training for new and current technologies and services used Analyse, oversee and remediate cloud costs Main requirements: University degree in Computer Science, Engineering or a similar discipline 5 years of cloud services experience, 3 of which should be on AWS cloud Advanced knowledge in solution design and deployment projects Understanding and practice of Well Architected Framework Methodical troubleshooting of issues and mentoring capabilities Experience in AWS technologies, services and ecosystem Advanced knowledge of Infrastructure as Code (IaC) concepts and tools, preferably HCL Terraform and AWS CloudFormation Experience with versioning tools such as git Advanced Linux, networking and scripting skills (Bash) Comprehend and accommodate practices such as FinOPS or SRE Distinctive organisation and documentation skills The following will be considered an advantage: Experience in Windows OS Experience in RDBMSs, preferably Postgres and MySQL Experience in scripting languages such as Python or Go Benefit from: Attractive remuneration package plus performance-based reward Private health insurance Corporate pension fund Intellectually stimulating work environment Continuous personal development and international training opportunities All applications will be treated with strict confidentiality!   By submitting this application, I confirm that I have read and agree to the terms of the Privacy and Data Protection Notice and the Confidentiality Undertaking.

Location: Hong Kong Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. Your future role within QRT Your core objective is to deliver high quality analytics of trading and execution data and provide the respective teams with strategic outputs Develop new analysis tools and methods aiming to identify suboptimalities and maximize portfolios’ profitability Leverage your trading and market expertise by sharing production results and methodology with other traders and researchers Contribute to portfolio management through periodic strategic deep dives and improved continuous monitoring Your present skillset Advanced degree in a quantitative field such as data science, statistics, mathematics, physics or engineering Coding skills required in at least one programming language (e.g. Python + SQL, VBA) and capacity to work on large datasets Experience in finance is a plus Excellent communication skills Your enhanced experience and learning opportunities at QRT Mentorship from industry professionals Detailed practical hands-on experience with portfolio management and analysis Contribution to high level decision making on global businesses Exposure to large scale data analysis technology Experience in a collaborative and collegial corporate environment QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Location: Germany Job Title: Sales and Key Account Manager Location: Remote in Germany Reports to: Sales Director Department: Sales & Business Development Employment Type: Full-Time About the Company: Our client is a leading innovator in the eye care industry, specializing in high-quality contact lenses and vision solutions that enhance everyday life. In the market for the past 30+ years they have a commitment to science, innovation, and customer care, to serve eye care professionals (ECPs), retail partners, and consumers worldwide. They are growing and looking for a strategic, results-driven Sales Director to lead their commercial efforts, expand market share, and drive revenue across new and existing channels. Position Summary: The Sales and Key Account Manager will be responsible for executing the company’s sales strategy to drive revenue growth, and foster strong relationships with key partners and stakeholders in the contact lens and broader eye care market in the DACH market. This role requires a deep understanding of the ophthalmic industry, particularly the contact lens segment, and the ability to translate customer needs into strategic action plans. Responsibilities: To manage the contact lenses business of the company with responsibility for key accounts, sales, budgeting and supporting colleagues from sales team and from Customer Service. To ensure that the objectives set by his/her supervisor are achieved, and that his/her business activities are planned and organized on such a way that provides maximum sales volume and profitability in the short and long term Develop the area Germany, Austria and Switzerland for contact lens in order to maximize company's market presence. Responsible for the development and achievement of sales through distributors, buying groups, optical retail chains, pharmacy retail chains, online retailers as well as through the direct sales to independent stores. Focus on growing and developing existing clients, together with generating new business in order to achieve sales target Gather market, competitor information and customer's feedback in order to let the company to react and be prepared accordingly. Ensure a good level of understanding and knowledge of organization's products and service in order to ensure that customer enquires can be dealt with accurately and appropriately. Acquiring and sourcing potential customers in order to achieve sales budget allocated. Analyses and project achievable sales budget in order to maximize business and profit. Actively participate in trade fairs, congresses, conferences and seminars, propose the ways of marketing in order to increase noticeability of the products in assigned sales territory Requirements: 5 years' experience in sales of contact lenses in the Dach territories Strong achievement record in major accounts development Strong communication skills, both verbal and written Strong influencing and persuasion skills Pro-active in seeking projects Strong business judgement, commercial awareness High drive and energy Strong flair in spotting business opportunities Proficient in English and German, both verbal and written What We Offer: Competitive base salary and performance-based incentives Opportunities for professional development and advancement A collaborative and innovative work culture in a growing industry

Location: Athens We are looking for Mid and/or Senior iOS Developers to join our Product Development Department. You will be part of the Mobile Apps team and together we will build the best native experience in the industry! The Wow At Betsson Group, we strive to deliver the best customer experience in the industry. We are one of the market leaders in iGaming, offering online gaming products in several markets, both through our own gaming sites as well as several partner brands. You will be part of a passionate team, which is building an industry leading, scalable, multi-brand platform to support 25+ online brands! Our brands are used by hundreds of thousands of users and growing. You will be working side by side with some of the greatest talents in the industry. You will be working on applications dealing with high traffic reaching worldwide audiences. You will be able to feel strong ownership of the things we deliver and our success. A friendly and supportive environment; professional development programmes and training that will help you achieve your goals and grow both technically as well as professionally. In addition to all of this, you will be part of the multi-cultural Betsson community. Great if you have Swift, Xcode and expert in Apple’s frameworks and possibilities with native Firebase and all tools included such as analytics, Crashlytics, Firestore, Remote configuration, cloud-messaging, in-app-messaging. Being data driven and excellent knowledge in structuring tracking in app RESTful APIs and using Postman. Github pipeline setup An eye for making high quality iOS views and animations. Scalable and performant applications Design and implement clean, scalable, and high-quality code with unit testing experience. Solving problems and have good software architecture knowledge. Being a Team player. Agile development. Coaching and mentoring other developers. A taster of what you will be involved with We want to be pioneers in a highly competitive market, so we continuously strive for technical and product excellence. As part of our team, you will be building new products and features using latest technologies; actively contributing to a state-of-the-art native, which is supporting our core brands. Our iOS Mobile Apps are built in Swift; and consumes RESTful APIs. As an iOS Developer, you will be responsible for software development in a very self-leading Agile team with responsibility in everything from DevOps pipeline to production monitoring and support. You will be contributing directly to the success of our products by close collaboration with UX-designers, QA engineers, data analysts and other area teams. You have a strong sense of customer value and will participate in the whole value-chain discussion to contribute the how and what to make our products successful. What we offer Monthly Allowance for Lunch Private & Life Plan Insurance for you and your family Team Building Budget Annual Wellness Allowance Corporate Travel Insurance Events and initiatives both Local (Quarterly Meetings) and Global Professional Development Programs & Internal Career Opportunities Milestone Birthday Much like a rollercoaster, life at Betsson Group is fast-paced, full of twists and turns, and always exciting. With more than 2,800 colleagues representing over 75 nationalities across a global network of offices - including 1,500 at our operational headquarters in Malta - every day brings new challenges and opportunities to grow. It may not be for the faint-hearted, but if you thrive on innovation, enjoy pushing boundaries and want to be part of a diverse, international team, then you’ll fit right in at Betsson. Challenge Accepted? If you are interested to learn more, please apply with your CV in English. Check out the Betsson Group Blog to find out what our employees are talking about By submitting your application, you understand that your personal data will be processed as set out in our Privacy Policy .

Location: Cairo, Egypt Workplace: hybrid Are you ready to join our digital revolution journey?    At Aleph, we’re not just part of the digital advertising landscape—we’re shaping its future. Representing the world’s leading platforms, including TikTok, Amazon, Google, and nearly 55 others, we operate in 130+ markets across new and existing geographies.   Our mission is to empower advertisers and brands to unlock the full potential of these platforms' advertising capabilities. By fostering long-lasting partnerships, we create limitless opportunities for people and businesses to advertise effectively at both local and global levels.   With a presence spanning continents, Aleph offers you the chance to be part of a fast-growing, innovative team where your work makes a direct impact. If you’re ambitious, forward-thinking, and eager to thrive in a dynamic, global environment, Aleph is the perfect place to build your career. We are looking for a Client Solutions Manager to support our team in Cairo! What You’ll Do Be the trusted advisor to new and existing clients, leading seamless onboarding and building long-term partnerships. Design high-impact Google Ads strategies tailored to each client’s business goals—search, display, video, and app campaigns included. Continuously optimize campaign performance and ROI using smart insights from GA4, Google Ads, and other measurement tools. Solve problems fast—whether it's technical troubleshooting or strategic fine-tuning, you'll keep campaigns on track. Communicate campaign progress and insights clearly, becoming the go-to person for all client questions and guidance. Ensure Google Ads products and services are delivered smoothly, meeting and exceeding client expectations. Spot opportunities to grow accounts by recommending new Google Ads solutions aligned with client needs. Partner closely with internal teams—sales, tech, support—to deliver a seamless client experience and improve service delivery. Stay sharp on the latest Google Ads features, MENA market trends, and competitive moves to keep your advice fresh and forward-thinking. What You Need For This Role Solid hands-on experience with Google Ads, managing campaigns across search, display, video, and app formats. Strong digital marketing fundamentals with a passion for performance marketing and online strategy. Proficiency in Google Analytics 4 and tools like Google Tag Manager for smart campaign analysis. Excellent communication skills in English. A track record in client-facing roles, where you’ve built trusted relationships and made a real impact. Superb organization skills—you can manage multiple clients and projects without breaking a sweat. Collaborative spirit with the ability to work independently when needed. Familiarity with CRM platforms like Salesforce is a bonus. A deep understanding of the MENA digital advertising landscape. Experience working with media agencies or large brands in e-commerce or performance-driven environments. What Will Make Us Really Love You You bring a track record of success in a similar role, with hands-on experience. You’re not afraid to challenge the status quo and bring fresh, out-of-the-box ideas to the table. You anticipate challenges before they arise and take initiative to find effective solutions. You have an eye for detail. You thrive on teamwork but also bring a driven, goal-oriented spirit. You’re genuinely enthusiastic about advertising, ad-tech, and staying ahead of industry trends. You have the ability to engage and communicate with internal and external stakeholders in a positive and approachable way. What You’ll Love About Us We care about your individuality by giving you freedom to grow and create within the company, regardless of your position Learn from the best: Our state of the art workshops guarantee the latest insights into digital advertising Be part of a company with a truly global footprint, working with leading brands, platforms, and publishers across 90+ markets. We foster a dynamic environment where creativity, collaboration, and bold ideas are encouraged and celebrated. Join a diverse, multicultural team that values and embraces different perspectives, experiences, and talents. At Aleph, your work directly contributes to connecting brands and consumers in meaningful ways, shaping the future of digital advertising. Why Join Us?   Aleph is a place of many cultures, perspectives, and talents. We support each other, creating an environment of giving and receiving. We value partnership and communication because we believe it takes a group of people to achieve great things. We are energized by our ever-changing industry, our curiosity keeps us learning and seeking out new opportunities.     We stay flexible and adaptable, and believe in moving with the speed of change. We encourage everyone to strive for more, providing our internal talent with growth opportunities and the ability to learn together.    #ALEPH

Location: Germany Our client is a leading Google & YouTube Ads agency in Germany, achieving maximum growth for well-known customers such as Loop Earplugs, Paper & Tea and Sternglas. In a team of more than 40 experts, all passionate about their field, they rely on data-driven performance marketing and the full range of Google channels to ensure long-term success. Your Tasks: Developing tailor-made Google Ads strategies and working closely with account strategists, media buyers and pushing experts to continuously improve the performance of their clients. Using the interaction of Google Ads with other channels such as Meta and Microsoft and develop effective synergies. Creating well-founded market analyses, competitor reports and testing strategies. Bring a solid basic understanding of conversion optimization and user guidance. With their training to become an expert in pull strategies, you will focus on Google Ads Search & Shopping. Optimizing campaigns with your knowledge from the e-commerce sector and know the requirements of Shopify and common shop setups. Developing successful strategies based on market and target group insights. Analyzing KPIs and creating meaningful reports to provide well-founded recommendations for action and ensure long-term success. Advising their customers with data-based recommendations and helping them achieve their goals in the area of Google Ads and Shopping. Requirements Experience: Having a proven track record in developing and implementing scalable Google Ads strategies and managing high advertising budgets. Google Ads Expertise: Being an expert in the Google Ads environment with a focus on Search & Shopping, including campaign structuring, bidding strategies, budget control and data-based optimization. Feed Optimization: Having experience in optimizing product data feeds and managing them effectively in Shopping campaigns. E-commerce skills: being well-versed in dealing with performance metrics such as ROAS, MER, AOV and conversion rate and optimizing them regularly. In addition, you have in-depth knowledge of buying behavior and target group insights. Analytical thinking: Analyzing data quickly, drawing precise impulses for action and thus driving performance. Self-employment & structure: Working independently and keeping track of complex campaigns. Communication skills: Being able to communicate your ideas clearly and concisely in German (C1). Team spirit: Being a real team player and supporting your colleagues in achieving common goals. Benefits Strategic Contribution and Impact: Contributing your ideas and actively shaping the further development of their strategies. What you bring to the table is of great importance – so you can have a direct say in the success of the agency. Unique Growth Opportunity: Being part of an ambitious and motivated team of experts who encourage each other to perform at their best every day. Continuing Education at All Levels: There are regular masterclasses, each focusing on the agency's expert areas. This way you learn something from your field, but also to think outside the box. In addition to internal masterclasses, there are of course also external resources to make you EVEN BETTER every day. Flexibility: Working 100% remotely and flexibly – you'll be part of an agile team that is constantly striving for new best practices. 2 Workations per year: They don't have an office, but several times a year, they come together from all countries in a villa and can live and work together for a whole week at a time. Home Office Equipment: Getting home office equipment befitting your status. (MacBook etc.)

Location: Germany About the Company Our client is a global IT consulting and digital services company specializing in software development and consultancy. They empower enterprises and software companies to (re)identify their differentiation, accelerate solution development, and vigorously compete in today’s digital economy. About the job As a member of their Sales Hunter team you will play a critical role in expanding our existing client base. You will have responsibility for achieving your quota in the region. The focus is predominantly new business growth (hunting). You will work closely with the team to build and maintain a sales pipeline in the region, progress opportunities through the pipeline and negotiate to closure. How you'll do it The ideal candidate is a deal-maker, empathic, self-motivated, a critical thinker, problem solver, well-spoken, professional, and is able to present confidently to small and large groups including at the Executive level. The perfect candidate is a team collaborator, fluent in German and English, and available to travel within the region. Core responsibilities: All aspects of sales and business development including lead generation, relationship building, pipeline management, proposal development, high level solutions design, and pricing Development and cultivation with key client stakeholders and prospects Closely with customers and prospects to understand their businesses and how our client can help them to be more successful Regular client contact including onsite visits Commercial proposals and contracts Scope, commercial and legal terms in contracts with support of the pre-sales, delivery, financial and legal teams Account and contract overviews Accurate forecasting, pipeline management and other sales process / infrastructures are established Requirements Desired qualifications include: Expertise in analyzing and understanding clients’ business and needs, preferably having consultative sales experience Capacity to drive insightful/knowledge-based conversations with customers Strong communication skills as well as solution and goal-oriented action Open and communicative personality. Intercultural competence and persistence Able to express controversial views and assertive with all with whom it communicates Industry expertise within FSI (Banking or Insurance) is a plus Job qualifications include: You will probably hold a degree or master’s qualification 5+ successful years’ experience in a sales executive role and experience in dealing with demanding customers Several years of experience in the Technology, Software, Digital sectors Knowledgeable about public cloud technologies

Location: Belgrade, Serbia; Cluj-Napoca, Romania; Krakow, Poland; Larnaca, Cyprus; Lodz, Poland; Lublin, Poland; Montevideo, Uruguay; Remote.AR, Remote.LATAM-country; Remote.BR, Brazil; Remote.BG, Bulgaria; Remote.CO, Colombia; Remote.GE, Georgia; Remote.PL, Poland; Riga, Latvia; Rosario, Remote.LATAM-country; Sofia, Bulgaria; Tbilisi, Georgia; Varna, Bulgaria; Warsaw, Poland; Wroclaw, Poland DataArt is a global software engineering firm and a trusted technology partner for market leaders and visionaries. Our world-class team designs and engineers data-driven, cloud-native solutions to deliver immediate and enduring business value. We promote a culture of radical respect, prioritizing your personal well-being as much as your expertise. We stand firmly against prejudice and inequality, valuing each of our employees equally. We respect the autonomy of others before all else, offering remote, onsite, and hybrid work options. Our Learning and development centers, R&D labs, and mentorship programs encourage professional growth. Our long-term approach to collaboration with clients and colleagues alike focuses on building partnerships that extend beyond one-off projects. We provide the ability to switch between projects and technology stacks, creating opportunities for exploration through our learning and networking systems to advance your career. We are seeking a professional with a deep understanding of AI technologies and hands-on experience with generative AI, large language models (LLMs), LangChain frameworks, cloud services, and MLops, including model training and deployment practices. In this project, you will be part of the AI Lab core team, working on diverse initiatives focused on AI-driven transformation. You will collaborate closely with AI Lab leaders to improve productivity, drive innovation, and reduce operational costs across various industries. Strategically lead and advise on AI initiatives, ensuring alignment with the AI Lab and overall company objectives Work alongside diverse client teams to assess business requirements and design tailored AI solutions that integrate generative AI, LLMs, and MLops practices Present recommendations and proposals to current and prospective AI clients by showcasing innovative offerings and business value Lead and develop the Proof of Concepts (POCs) and Accelerator projects, incorporating advanced cloud integration and generative AI technologies Stay up to date on industry trends and advancements, fostering a culture of continuous learning and innovation within the team, and disseminating relevant insights to clients and internal groups Minimum of 4 years of practical experience in the implementation and leadership of AI/ML projects Practical experience in AI roles such as Consultant or AI Solution Architect Master’s/Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field Demonstrable hands-on experience implementing AI/ML solutions in a business context Proven experience with at least one major cloud platform (AWS, GCP, or Azure) Expertise in Generative AI/LLMs; candidates should be comfortable working with modern frameworks and tools such as LangChain A solid understanding of MLOps practices, including setting up model training pipelines, continuous integration/deployment, and monitoring ML models Strong communication and leadership skills to collaborate with cross-functional teams, present proposals, and manage stakeholder expectations

Location: London, Greater London, England, United Kingdom, Paris, France Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. We’re looking for an experienced recruiter to join our Talent Acquisition team and help drive hiring for quantitative research and trading roles across Europe. This role plays a key part in supporting QRT’s continued growth by securing top-tier talent and reinforcing our local presence. Your Future Role at QRT • Drive and execute QRT’s recruitment strategy to attract, hire, and retain high calibre quant research and trading talent for our European offices • Leverage your existing network across Europe and proactively source candidates through direct outreach, talent mapping, and referrals • Collaborate with trusted external recruitment partners and agencies to ensure consistent pipeline flow and meet headcount targets • Own and manage the full recruitment lifecycle via our ATS (Greenhouse), ensuring a high-touch, seamless candidate experience at every stage • Bring hiring intelligence and market insights to the table - tracking trends, benchmarking competitors, and advising stakeholders Your present skillset • 5+ years of experience recruiting in quantitative finance, trading, or investment roles – either in-house or at a leading search firm • A strong, active network of talent across Europe, and a proven ability to build and sustain candidate relationships over time • Track record of successful collaboration with external agencies • Proficiency with recruiting tools and platforms, especially Greenhouse and LinkedIn • Data-driven mindset, you use metrics, hiring funnel data, and market benchmarks to inform decisions • Excellent written and verbal communication skills in English • Organized, resourceful, you are able to juggle multiple searches with speed and precision • Self-starter and curious, you like working in a fast-paced, high-performance environment QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Location: Norway Workplace: remote OVERVIEW Are you passionate about language, detail-oriented, and skilled in identifying nuances in meaning and tone? Join our global network of linguistic professionals and contribute to a high-impact language project that shapes how people interact with AI-powered content worldwide. We’re looking for experienced Linguist Reviewers to help refine and elevate language data by evaluating and enhancing synonyms, word groupings, and phrasing. MAIN DUTIES - Evaluate lists of synonyms and related phrases for accuracy, appropriateness, and naturalness. - Identify linguistic errors, awkward phrasing, or incorrect usage and suggest corrections. - Generate improved or alternative synonyms that better match intended meanings. - Provide insightful linguistic feedback to improve language quality and consistency. - Collaborate with project managers and fellow linguists to meet quality standards and deadlines. PROJECT DETAILS Start Date: Immediately after completing the training process Employment Type: Freelance/Independent Contract Location: Remote Language: Norwegian Pay Rate: $35/hour By applying, you'll become part of our Freelance community, opening doors to a range of projects tailored to your skills and availability, particularly highlighting localization and linguistic expertise. Payment rates for future projects may vary, ensuring fair compensation that reflects your location, industry, and skill set. Joining us means contributing to our current project and becoming part of our dynamic network. This is a unique chance to enhance global user experiences and apply your language skills in meaningful ways. REQUIREMENTS Background in linguistics, translation, copyediting, or related fields Proficient in English Strong knowledge of synonyms, semantics, and contextual meaning Excellent attention to detail and ability to follow linguistic guidelines Previous experience with linguistic QA or content reviewing is a plus Reliable internet connection and ability to work independently When you join Welocalize, you have the opportunity to bring your career to the next level: - receive steady volume of work and a long-term partnership - professional development: work on exciting projects that will empower you keep learning and growing - work with multicultural and international team with a great variety of documents and content types - 24-hour 6 day a week support from our Community team. If this opportunity sound appealing to you, apply below. As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com

Location: Tbilisi, Georgia; Limassol, Cyprus Workplace: hybrid TradingView is the world’s largest financial analysis platform with more than 100M users across 180+ countries. We build tools that help traders and investors make informed decisions — from advanced charting and market data to collaboration and publishing features. Our products are used daily by millions of individuals and trusted by companies like Revolut, Binance, and CME Group. We’re continuing to grow and scale our platform, and we’re looking for people who care about product quality, take ownership of their work, and want to build systems used by a global audience. About the team We’re looking for iOS developers to join our mobile product direction. Within the direction, there are several product teams responsible for different parts of the application, including subscriptions and monetization, data-driven screens and charts, integrations with external services, and key user-facing sections. The work involves complex product logic, a large number of application states, and careful UI implementation. Responsibilities Develop and maintain iOS code in Swift with a focus on quality and architecture Build complex screens and interface behavior using UIKit, SwiftUI, and CoreAnimation Work with application architecture using VIPER and MVVM Handle asynchronous logic and multithreading with GCD and Swift Concurrency Optimize performance and investigate complex stability issues Integrate with backend APIs and ensure correct client-side behavior Collaborate with product, design, and QA throughout the development process Participate in code reviews and share expertise with the team What makes you the perfect fit 4+ years of experience in iOS application development Strong knowledge of Swift and hands-on experience with UIKit and SwiftUI Experience building complex screens and maintaining a stable user experience across devices Experience optimizing application performance for speed and efficiency Good understanding of Clean Architecture and experience with VIPER and MVVM Experience working with multithreading using GCD and Swift Concurrency Strong understanding of iOS platform design principles and interface guidelines Experience working with CoreAnimation Will be a plus Understanding of algorithms and data structures Experience in finance or trading domain Familiarity with TradingView as a product What are ready to offer you Flexible working hours and a hybrid work format Well-equipped offices for focused and collaborative work A global, distributed team of 500+ professionals Learning, mentorship, and long-term career growth Relocation support and private health insurance Performance-based bonuses TradingView Premium access Regular team events and company-wide meetups Join the TradingView team and help us build a product used by millions of traders and investors worldwide. We look forward to hearing from you!

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's production models undergo sophisticated post-training processes to enhance their capabilities, alignment, and safety. As a Research Engineer on our Post-Training team, you'll train our base models through the complete post-training stack to deliver the production Claude models that users interact with. You'll work at the intersection of cutting-edge research and production engineering, implementing, scaling, and improving post-training techniques like Constitutional AI, RLHF, and other alignment methodologies. Your work will directly impact the quality, safety, and capabilities of our production models. Note: For this role, we conduct all interviews in Python. This role may require responding to incidents on short-notice, including on weekends. Responsibilities: Implement and optimize post-training techniques at scale on frontier models Conduct research to develop and optimize post-training recipes that directly improve production model quality Design, build, and run robust, efficient pipelines for model fine-tuning and evaluation Develop tools to measure and improve model performance across various dimensions Collaborate with research teams to translate emerging techniques into production-ready implementations Debug complex issues in training pipelines and model behavior Help establish best practices for reliable, reproducible model post-training You may be a good fit if you: Thrive in controlled chaos and are energised, rather than overwhelmed, when juggling multiple urgent priorities Adapt quickly to changing priorities Maintain clarity when debugging complex, time-sensitive issues Have strong software engineering skills with experience building complex ML systems Are comfortable working with large-scale distributed systems and high-performance computing Have experience with training, fine-tuning, or evaluating large language models Can balance research exploration with engineering rigor and operational reliability Are adept at analyzing and debugging model training processes Enjoy collaborating across research and engineering disciplines Can navigate ambiguity and make progress in fast-moving research environments Strong candidates may also: Have experience with LLMs Have a keen interest in AI safety and responsible deployment We welcome candidates at various experience levels, with a preference for senior engineers who have hands-on experience with frontier AI systems. However, proficiency in Python, deep learning frameworks, and distributed computing is required for this role. 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: $350,000 — $500,000 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: 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 teams Our Reinforcement Learning teams lead Anthropic's reinforcement learning research and development, playing a critical role in advancing our AI systems. We've contributed to all Claude models, with significant impacts on the autonomy and coding capabilities of Claude Sonnet 4.5 and Opus 4.5. Our work spans several key areas: Developing systems that enable models to use computers effectively Advancing code generation through reinforcement learning Pioneering fundamental RL research for large language models Building scalable RL infrastructure and training methodologies Enhancing model reasoning capabilities We collaborate closely with Anthropic's alignment and frontier red teams to ensure our systems are both capable and safe. We partner with the applied production training team to bring research innovations into deployed models, and are dedicated to implement our research at scale. Our Reinforcement Learning teams sit at the intersection of cutting-edge research and engineering excellence, with a deep commitment to building high-quality, scalable systems that push the boundaries of what AI can accomplish. About the Role As a Research Engineer within Reinforcement Learning, you will collaborate with a diverse group of researchers and engineers to advance the capabilities and safety of large language models. This role blends research and engineering responsibilities, requiring you to both implement novel approaches and contribute to the research direction. You'll work on fundamental research in reinforcement learning, creating 'agentic' models via tool use for open-ended tasks such as computer use and autonomous software generation, improving reasoning abilities in areas such as mathematics, and developing prototypes for internal use, productivity, and evaluation. Representative projects: Architect and optimize core reinforcement learning infrastructure, from clean training abstractions to distributed experiment management across GPU clusters. Help scale our systems to handle increasingly complex research workflows. Design, implement, and test novel training environments, evaluations, and methodologies for reinforcement learning agents which push the state of the art for the next generation of models. Drive performance improvements across our stack through profiling, optimization, and benchmarking. Implement efficient caching solutions and debug distributed systems to accelerate both training and evaluation workflows. Collaborate across research and engineering teams to develop automated testing frameworks, design clean APIs, and build scalable infrastructure that accelerates AI research. You may be a good fit if you: Are proficient in Python and async/concurrent programming with frameworks like Trio Have experience with machine learning frameworks (PyTorch, TensorFlow, JAX) Have industry experience in machine learning research Can balance research exploration with engineering implementation Enjoy pair programming (we love to pair!) Care about code quality, testing, and performance Have strong systems design and communication skills Are passionate about the potential impact of AI and are committed to developing safe and beneficial systems Strong candidates may have: Familiarity with LLM architectures and training methodologies Experience with reinforcement learning techniques and environments Experience with virtualization and sandboxed code execution environments Experience with Kubernetes Experience with distributed systems or high-performance computing Experience with Rust and/or C++ Strong candidates need not have: Formal certifications or education credentials Academic research experience or publication history Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $500,000 — $850,000 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: Remote We are looking for a Trading Operations Manager to take care of the Trading Operations Team, which is a crucial component in ensuring a reliable, risk-averse, and robust trading process. It holds critical responsibility for anomaly detection, promptly identifying irregularities and instituting all necessary procedures to maintain trading integrity. By enhancing information accuracy and effectiveness, they continually streamline internal processes, bolstering the productivity and efficiency of many other teams. What You’ll Be Doing: Capacity planning Performance management Your stakeholders and your team happiness at the same time You are going to lead the Trading Operations Team responsible for: Designing, updating and reliable execution of: Pre- and post- session checks and action points Intrasession invariants controls Escalation procedures Continuous improvement of: Quality of anomalies detection Reaction and resolution SLAs Tooling and communication efficiency What We Look For In You: Experience in similar positions Willingness to combine hands-on and management tasks Great Attention to details Efficient communication in all flavours of English Why Should You Join Our Team? Great challenges with many opportunities to prove yourself A welcoming group of highly qualified international professionals Cutting-edge hardware and technology Work remotely from anywhere in the world Access any of our global offices anytime Flexible schedule 40 paid days off Competitive salary

Location: London, UK 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: You want to build and run elegant and thorough machine learning experiments to help us understand and steer the behavior of powerful AI systems. You care about making AI helpful, honest, and harmless, and are interested in the ways that this could be challenging in the context of human-level capabilities. You could describe yourself as both a scientist and an engineer. As a Research Engineer on Alignment Science, you'll contribute to exploratory experimental research on AI safety, with a focus on risks from powerful future systems (like those we would designate as ASL-3 or ASL-4 under our Responsible Scaling Policy ), often in collaboration with other teams including Interpretability, Fine-Tuning, and the Frontier Red Team. Our blog provides an overview of topics that the Alignment Science team is either currently exploring or has previously explored. For the London team, we are opportunistically hiring for the following research areas: AI Control: Creating methods to ensure advanced AI systems remain safe and harmless in unfamiliar or adversarial scenarios. Alignment Stress-testing : Creating model organisms of misalignment to improve our empirical understanding of how alignment failures might arise. Note: Currently, the team's hub is in San Francisco, so we require all candidates to be based at least 25% in London and travel to San Francisco occasionally. Additionally, we are prioritizing growing our San Francisco teams, so you may not hear back on your application to the London team unless we see an unusually strong fit. For this role, we conduct all interviews in Python. Representative Projects: Testing the robustness of our safety techniques by training language models to subvert our safety techniques, and seeing how effective they are at subverting our interventions. Run multi-agent reinforcement learning experiments to test out techniques like AI Debate . Build tooling to efficiently evaluate the effectiveness of novel LLM-generated jailbreaks. Write scripts and prompts to efficiently produce evaluation questions to test models’ reasoning abilities in safety-relevant contexts. Contribute ideas, figures, and writing to research papers, blog posts, and talks. Run experiments that feed into key AI safety efforts at Anthropic, like the design and implementation of our Responsible Scaling Policy . You may be a good fit if you: Have significant software, ML, or research engineering experience Have some experience contributing to empirical AI research projects Have some familiarity with technical AI safety research Prefer fast-moving collaborative projects to extensive solo efforts Pick up slack, even if it goes outside your job description Care about the impacts of AI Strong candidates may also: Have experience authoring research papers in machine learning, NLP, or AI safety Have experience with LLMs Have experience with reinforcement learning Have experience with Kubernetes clusters and complex shared codebases Candidates need not have: 100% of the skills needed to perform the job Formal certifications or education credentials 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: £260,000 — £370,000 GBP 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: onsite Are you ready to join our digital revolution journey?    At Aleph, we’re not just part of the digital advertising landscape—we’re shaping its future. Representing the world’s leading platforms, including TikTok, Amazon, Google, and nearly 55 others, we operate in 130+ markets across new and existing geographies.   Our mission is to empower advertisers and brands to unlock the full potential of these platforms' advertising capabilities. By fostering long-lasting partnerships, we create limitless opportunities for people and businesses to advertise effectively at both local and global levels.   With a presence spanning continents, Aleph offers you the chance to be part of a fast-growing, innovative team where your work makes a direct impact. If you’re ambitious, forward-thinking, and eager to thrive in a dynamic, global environment, Aleph is the perfect place to build your career. Are you a passionate, results-driven media salesperson with a flair for digital marketing? Do you thrive in a fast-paced, international environment where innovation, collaboration, and outstanding performance are celebrated?   We’re looking for a Senior Client Partner to join our team in Cyprus and play a key role in consulting top advertisers and agencies on how to achieve their marketing goals using cutting-edge digital advertising solutions. What You’ll Do: Drive sales of digital advertising solutions to both new and existing clients. Prospect, source, and close deals with brands and media agencies. Consult clients on campaign planning, digital media strategies, and performance optimization. Understand clients’ marketing objectives and recommend solutions to achieve measurable results. Deliver against sales targets while ensuring an exceptional client experience. Partner with account managers for smooth campaign launches and ongoing client support. Conduct market research, track competitor activities, and attend industry events to generate new business opportunities. Accurately forecast sales performance and revenue on a weekly, monthly, and annual basis. Resolve client issues efficiently, tactfully, and proactively to ensure long-term satisfaction. What you need for this role: Bachelor’s degree or higher in Business, Economics, Social Sciences, or similar. 5+ years of sales experience managing large strategic accounts. Strong understanding of online advertising, analytics, and social media platforms. Proven track record of driving revenue and building long-term client relationships. Comfortable navigating complex client and agency dynamics. Exceptional project management skills and ability to handle multiple priorities. Excellent communication skills in Russian and English , both internally and externally. Positive, proactive, and motivated to exceed targets consistently. What will make us really love you: You’re genuinely excited about digital marketing and sales, and it shows in everything you do. You take ownership of your work, solve problems creatively, and never settle for “good enough.” You bring positive energy to your team and inspire those around you to perform at their best. You’re proactive, adaptable, and thrive in a fast-paced, evolving environment. You combine commercial drive with excellent relationship-building skills—clients and colleagues love working with you. What you'll love about us: Be part of a supportive, international team that celebrates creativity, ambition, and results. Shape campaigns for some of the most innovative and iconic brands in the market. Enjoy continuous learning and professional growth in the fast-moving digital advertising space. Work in a dynamic environment where your ideas, insights, and performance are recognized and rewarded. In line with the EU Pay Transparency Directive, we are committed to fair and open compensation practices. For this role, the minimum gross annual base salary is EUR 32,480 In addition to base salary, this role includes a significant performance-based variable component, paid quarterly. The final offer will reflect your experience, skills, and the scope of the role.     #ALEPH Why Join Us?   Aleph is a place of many cultures, perspectives, and talents. We support each other, creating an environment of giving and receiving. We value partnership and communication because we believe it takes a group of people to achieve great things. We are energized by our ever-changing industry, our curiosity keeps us learning and seeking out new opportunities.     We stay flexible and adaptable, and believe in moving with the speed of change. We encourage everyone to strive for more, providing our internal talent with growth opportunities and the ability to learn together.    #ALEPH

Location: New York, NY (HQ); San Francisco, CA Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. About the Role Ramp's Enterprise CSMs don't manage accounts — they transform how companies run their finances. This is a role for people who have been inside large organizations when change was hard, who speak the language of a CFO, and who already use AI the way surgeons use instruments: not occasionally, not as an experiment, but as the default way they work. You'll be embedded in Ramp's enterprise accounts, responsible for driving genuine workflow transformation — not just onboarding completion. What You'll Do - Lead enterprise customers through the full transformation journey — from implementation through agentic workflow adoption — with clear accountability for time-to-value and measurable business outcomes - Build and own the change management strategy for each account: map stakeholders, diagnose resistance, build internal coalitions, and drive adoption past the finish line - Quantify and communicate Ramp's impact in the language CFOs and Controllers care about — close cycle improvement, spend visibility, variance reduction, and ROI — not just product usage metrics - Run executive-level stakeholder management across multiple layers of a customer org, including C-suite relationships you own independently - Use AI tools daily to prepare for customer calls, build materials, synthesize data, identify account risk, and operate at a pace traditional methods can't match - Help customers understand and adopt Ramp's agentic finance capabilities — positioning new workflows not as features, but as fundamental changes to how their finance team operates - Partner with Account Executives and Technical Consulting to deliver seamless implementations and expand Ramp's footprint within accounts - Bring customer insight back to Product — surfacing patterns, gaps, and opportunities from your accounts to shape how Ramp evolves - About 30% travel expected Must-Haves - Enterprise change management — You've driven workflow adoption inside complex organizations, navigated real resistance from real stakeholders, and have measurable results to show for it. Finance or fintech context is a plus but not required. - ERP system fluency — You're comfortable working within and around major ERP platforms (NetSuite, SAP S/4HANA, Workday, Sage Intacct, or similar). You understand how these systems structure financial data, where integrations typically break, and how workflow changes ripple through an ERP-centric finance stack. This fluency is what lets you speak credibly to Controllers and finance ops teams about how Ramp fits into their existing systems of record. - AI fluency as a daily habit — You already use AI tools habitually in your work. You use them to prep for calls, synthesize information, build customer-facing materials, and automate repetitive tasks. This is how you work, not something you're exploring. Ramp is a builder culture: if you don't instinctively reach for AI before doing things manually, this role will be a hard adjustment. - Financial impact communication — You can walk a CFO through the business case for a workflow change, connect implementation milestones to P&L outcomes, and run executive updates in financial terms, not product terms. A finance background is not required — fluency is. - Technical acumen — You can hold your own in conversations with Product and Engineering on integrations, APIs, and workflow architecture. You don't need to code, but credibility in technical conversations is what earns you a seat at the table with the full customer stakeholder group. - 7+ years in enterprise customer success or implementations — You’ve spent enough time navigating complex organizations and senior stakeholders that it’s second nature. You know how to move an enterprise, not just support one. Nice-to-Haves - Agentic workflow experience — You've helped customers adopt AI-powered or agentic workflows at scale. You understand what friction looks like in practice and what makes transformation actually stick. - Finance domain depth — Exposure to FP&A, accounting software ecosystems (Netsuite, Sage, QuickBooks, Xero), expense management, or CFO-adjacent workflows. Accelerates credibility with Ramp's customer base. - Demonstrated commercial impact — You can point to expansion, retention, or time-to-value outcomes with specific metrics attached — not described in general terms. - Background at an AI-first or AI transformation company — not just a company that uses AI, but one where rethinking workflows around it was part of the product or culture - High-growth or startup experience (comfort operating in ambiguity and rapid change) - C-suite relationships built and maintained independently, without relying on a sales counterpart For candidates located in NYC or SF, the pay range for this role is $163,000 - $262,000. For candidates located in all other locations, the pay range for this role is $147,000- $236,000. BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice