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Location: Lagos, Nigeria As Product Design Lead, you will spearhead Renmoney’s design transformation, creating a cohesive design language that enhances customer trust and drives business growth. Leading a team of  product and brand designers, you will champion a scalable Renmoney Design System, deliver intuitive and accessible user experiences, and collaborate with Product, Marketing, and Engineering teams. Design Strategy & Leadership : Define and execute a design vision aligned with Renmoney’s mission to simplify financial services. Build, mentor, and lead a high-performing team of  designers, fostering creativity and user-centricity. Renmoney Design System : Develop and maintain a scalable design system (components, patterns, guidelines) to ensure consistency across digital platforms, in-store branding, and marketing materials. Enforce guidelines for internal teams and external partners. Brand Identity : Evolve Renmoney’s visual identity (logo, typography, color palette) for mobile apps, in-store signage, print materials, and digital campaigns. Manage relationships with external agencies to ensure brand consistency across all touchpoints. Product Design : Oversee UX/UI strategy for mobile apps, web platforms, and agent tools, delivering intuitive, accessible experiences for diverse users (e.g., instant loan users, SMEs, savers). Conduct user research and usability testing to refine customer journeys. Customer Insights : Integrate user feedback, behavioral data, and customer service insights to inform design priorities. Champion a culture of empathy and experimentation within the design team. Cross-Functional Collaboration : Partner with Product, Marketing, and Customer Experience teams to align design with business objectives and go-to-market plans. Collaborate with Engineering to ensure technical feasibility and seamless implementation. Innovation & Accessibility : Leverage emerging tools (e.g., AI-driven design, localization for Nigerian languages) to create scalable, inclusive experiences. Ensure all designs meet accessibility standards (e.g., WCAG compliance) and resonate with Nigeria’s diverse audience. Design Operations : Streamline design workflows, improve project velocity, and manage multiple projects with clear documentation. Coordinate with vendors and agencies for offline branding, digital campaigns, and print production. Executive Reporting : Present design strategies, progress, and outcomes to the CEO and executive leadership. Communicate design impact to board members and business stakeholders Requirements Experience : 7+ years in design roles, with 3+ years in a leadership position (e.g., Head of Design, Design Lead, Design Manager, Creative Director). Fintech, financial services, or product-led startup experience is a plus. Portfolio : A strong portfolio showcasing end-to-end design thinking across UX/UI, design systems, and consumer-facing branding. Technical Skills : Proficiency in Figma, Adobe Creative Suite (Illustrator, Photoshop, XD), user research tools, and collaborative platforms (e.g., Notion, Whimsical). Leadership & Collaboration : Proven ability to lead multidisciplinary teams, influence stakeholders, and drive strategic design impact. Fintech Awareness : Strong understanding of Nigeria’s financial services landscape, user behaviors, and accessibility needs. Education : Bachelor’s degree in Graphic Design, Interaction Design, Visual Communication, or a related field. Master’s degree or certifications are a plus. What Success Looks Like in 12 Months A fully adopted Renmoney Design System driving consistency across mobile, web, and offline channels. Improved Net Promoter Score (NPS) and brand consistency metrics. 50% reduction in design-to-development friction through clear documentation and workflows. A strong brand presence across agent locations, digital platforms, and marketing campaigns. A high-performing design team delivering with velocity and clarity. Benefits - Impact: Shape the face of digital banking in Nigeria by delivering intuitive and life-changing user experiences. - Ownership: Lead end-to-end product journeys with autonomy and measurable results. - Growth: Work in a data-driven, agile, and collaborative environment with opportunities to grow into senior leadership. - Flexibility: Hybrid work options, performance-based rewards, and a culture that values innovation, empathy, and diversity.

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. 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 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: Home based - Worldwide Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder-led, profitable, and growing. We are hiring an MLOps Field Engineer to help global companies embrace AI/ML in their business, using the latest open source capabilities on public and private cloud infrastructure, Linux and Kubernetes. Our team applies expert insights to real-world customer problems, enabling the enterprise adoption of Ubuntu, Kubeflow, MLFlow, Feast, DVC and related analytics, machine learning and data technologies. We are working to create the world's best open source data platform, covering traditional SQL databases and today's NoSQL data stores, as well as the machinery which turns data into insights and executable models. The people who love this role are MLOps engineers who enjoy customer conversations and solving customer problems during the presales cycle. They are solutions architects who like to solve customer problems through architecture, presentations and training. This role is highly focused on designing ML architectures for external customers. It is not a software development role. This role is particularly suited to candidates with a technical background who are business minded and driven by commercial success. This role is on our global Field Engineering team and will work closely with enterprise sales leads. We are specifically looking for people interested in solving the most difficult problems in modern data architectures. Training LLMs on multiple Kubernetes clusters deployed on a hybrid cloud infrastructure with GPU sharing across multiple teams? Processing 10M events in real time for financial transactions? Object detection on 10k parallel 4K video streams? These are the problems we solve day to day. Location : Most of our colleagues work from home. We are growing teams in EMEA, Americas and APAC time zones, so can accommodate candidates from almost any country. What your day will look like The global Field Engineering team members are Linux and cloud solutions architects for our customers, designing private and public cloud solutions fitting their workload needs. They are the cloud consultants who work hands-on with the technologies by deploying, testing and handing over the solution to our support or managed services team at the end of a project. They are also software engineers who use Python to develop Kubernetes operators and Linux open source infrastructure-as-code. Work across the entire Linux stack, from kernel, networking, storage, to applications, Architect cloud infrastructure solutions like Kubernetes, Kubeflow, OpenStack and Spark, Deliver solutions either on-premise or in public cloud (AWS, Azure, Google Cloud), Collect customer business requirements and advise them on Ubuntu and relevant open source applications, Grow a healthy, collaborative engineering culture in line with the company values, Deliver presentations and demonstrations of Ubuntu Pro and AI/ML capabilities to prospective and current clients, Liaise with product teams to give them feedback on requirements to influence roadmap, Work collaboratively with your sales team to reach our common targets, Global travel up to 30% of time for internal, external events and customer meetings. What we are looking for in you Exceptional academic track record from both high school and university, Undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path, Experience in data engineering, MLOps, or big data solutions deployment, Experience with a relevant programming language, like Python, R, or Rust, Confidence to respectfully speak up, exchange feedback, and share ideas without hesitation, Track record of going above-and-beyond expectations to achieve outstanding results, Demonstrated personal interest in continuous learning and development, Practical knowledge of Linux, virtualization, containers and networking, Business-minded technology thinker and problem solver, Knowledge of cloud computing concepts & leaders, such as Kubernetes, AWS, Azure, GCP, Interest in large-scale enterprise open source - private clouds, machine learning and AI, data and analytics, Intermediate level Python programming skills, Passion for technology evidenced by personal projects and initiatives, The work ethic and confidence to shine alongside motivated colleagues, Professional written and spoken English with excellent presentation skills, Experience with Linux (Debian or Ubuntu preferred), Excellent interpersonal skills, curiosity, flexibility, and accountability, A dynamic person who loves to jump in new projects and interact with people, Appreciative of diversity, polite and effective in a multi-cultural, multi-national organisation, Thoughtfulness and self-motivation, Result-oriented, with a personal drive to follow up and meet commitments, Ability to travel internationally, for company events up to two weeks long, and customer or industry meetings. What you’ll learn Architect and deploy AI/ML infrastructures, data processing pipelines and multi-cluster distributed training, Wide range of open source applications and skills, Work directly with customers in a range of different businesses, Real-life and hands-on exposure to a wide range of emerging technologies and tools. What we offer colleagues We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. Distributed work environment with twice-yearly team sprints in person Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards 40 days annual leave per annum, including public holidays and our All Company holiday periods Maternity and paternity leave Team Member Assistance Program & Wellness Platform Opportunity to travel to new locations to meet colleagues Priority Pass and travel upgrades for long-haul company events About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open-source projects and the platform for AI, IoT, and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence; in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since our inception in 2004.​ Working here is a step into the future and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration. #LI-remote

Location: Germany You will work for the dedicated sales division of our client, specializing in providing AR-based solutions to industrial companies and training institutions. Their mission is to revolutionize workforce development and manufacturing processes through innovative, immersive technologies. Join them and play a pivotal role in shaping the future of industry and education. They are seeking an experienced and goal-oriented Sales Manager to lead sales efforts in the German market. This role focuses on direct sales to industrial companies aiming to improve workforce skills or produce customized components, as well as training centers adopting innovative methodologies. The ideal candidate will excel in managing sales pipelines, utilizing CRM systems, and building relationships to drive growth and expand market share. Key Responsibilities Sales Strategy and Execution: Identify and engage industrial companies and training centers as target customers, understanding their specific needs for AR- based training solutions or customized applications. Manage the entire sales process, including prospecting, needs analysis, solution presentation, negotiation, and deal closure. CRM and Funnel Management: Utilize CRM tools to track customer interactions, create and maintain   detailed   sales   funnels,   and   generate   accurate forecasts. Monitor and optimize the sales pipeline to ensure consistent progress and achievement of revenue targets. Customer Relationship Management: Establish and nurture strong relationships with key decision-makers   in   target companies and institutions. Provide ongoing support and act as a trusted advisor to ensure customer success and satisfaction. Market Intelligence and Development: Analyze market trends and competitor activities to adapt sales strategies and identify new opportunities. Contribute   to   our client’s   expansion   by   exploring untapped markets and building a strong local presence. Collaboration and Feedback: Partner with internal teams (product, marketing, and support) to align offerings with customer requirements. Provide customer feedback to drive continuous improvement of products and services. Reporting and KPIs: Report regularly on sales activities, pipeline progress, and performance metrics to the management team. Meet or exceed sales targets and contribute to the company’s overall growth. Requirements Experience: Minimum 3 years of B2B sales experience, preferably in industrial sectors or the education/training industry. Proven track record in managing complex sales cycles and achieving sales targets. Skills: Expertise in CRM tools (e.g., Salesforce, HubSpot) and a strong   understanding of sales funnel creation and management. Excellent communication, negotiation, and presentation skills. Ability to analyze customer needs and propose tailored solutions effectively. Education: Bachelor’s degree in business, Marketing, Engineering, or a related field (Master’s degree preferred). Languages: Fluent in German and English (written and spoken). Additional Requirements: A proactive and self-motivated mindset, with a focus on achieving results. Willingness to travel extensively across Germany to meet clients and attend industry events. Benefits Competitive base salary with an attractive commission and bonus structure. A chance to work with cutting-edge AR technology and industry-leading solutions. Opportunities for professional growth and development in a global, innovative company. A collaborative and supportive work culture, with the autonomy to make a significant impact.

Location: Lagos, Nigeria; Russia We are looking for a Data Science Manager with a strong background in managing data-driven solutions to lead a high-performing DS team within the banking sector. This role combines ML expertise, team leadership, and cross-functional communication, with a focus on scorecard development, model performance, and portfolio risk monitoring. Responsibilities Advanced ML-modeling and data-exploration: ensembles and AI-algorithms, AI-initiatives management, external AI-services integration. Focus on models and solutions for: credit, fraud, marketing, collection and contact strategies, text, speech and behavioral analytics, dynamic pricing and limits. Stakeholders' expectations management: communication with risk (portfolio) team, collection team, other business units on score-modelling and backlog prioritization, task clarification. DS-team management: recruitment, training, performance improvement, scrum-servicing, task-management. Improvement DS-team communication with consumers and business needs understanding. Environment, process and tools management: git, Jira board, Confluence content, Agile rituals. ML-data management: colabration with DWH-team; data-availability, reliability and quality assessment; new/existent data-sources integrations support and management, data-flow stability control, feature-store administation. ML-model lifecycle management: from business needs identification to "sell", deployment and production-test stage. ML-models stability monitoring and quality control, reassessment and proactive quality improvement (re-calibration/ re-building). Knowledge management: Maintain up-to-date project documentation, implement standards, control discipline and maintain actuality for confluence descriptions, feature-store meta-data, git documentation, internal experience sharing and handover, new methodologies and tools review and implementation. Requirements Demonstrated experience working in fintech or banking, especially within emerging markets. Hands-on experience developing ML scoring models for text, speech, behavioral analytics, and dynamic modeling in card businesses. Strong programming skills in Python and SQL for data analysis, modeling, and automation. Proven experience with machine learning techniques, including: Regression, classification, ranking, boosting Graph-based models, neural networks, NLP, and large language models (LLMs) Solid understanding and practical implementation of AI concepts and systems. Familiarity with MLOps, including data pipelines, model deployment, and productionizing machine learning solutions. Experience with cloud computing platforms, especially AWS (highly preferred). Proficiency with BI and data visualization tools such as PowerBI, Excel, Tableau, or Grafana. Prior exposure to risk management or analytics, particularly within the cards or payments space. Strong grasp of Agile and Scrum methodologies in a data or engineering environment. Excellent communication and presentation skills, with the ability to simplify complex data concepts for both technical and non-technical audiences. Fluent in spoken English.

Location: Germany Our client is a dynamic and fast-growing multinational company in the food and beverage industry, with a strong presence across Southeast Europe (SEE). Focused on growth, innovation, and collaboration, they are dedicated to creating brands that people love, and their vision is to inspire people to add flavor to their everyday moments. With operations in 8 countries and 16 production facilities, our client is a leading FMCG producer in the region. Their diverse portfolio includes over 20 unique brands with a strong domestic heritage, such as Argeta, Barcaffe, Grand kafa, Donat, Cedevita, Cockta, Smoki, and Štark, which are available in over 40 markets worldwide. In addition to their food and beverage offerings, they also manage a successful chain of pharmacies. Our client boasts a robust distribution network, featuring more than 500 vehicles that deliver products from 16 distribution centers to over 60,000 sales points. This enables them to ensure seamless distribution of their own brands as well as those of key partners, including Ferrero, Wrigley, Unilever, Johnson & Johnson, MARS, Duracell, HIPP, SAB Miller, and many more. Always open to new ideas, growth-oriented, and passionate, they continue to set standards in the industry. Role: Sales Manager As a Sales Manager for our client, you will play a crucial role in driving the company’s growth and market presence in Germany. Key Responsibilities: Develop a growth strategy, focusing on both financial gain and customer satisfaction to achieve sustainable business growth. Research and identify new business opportunities. Stay ahead of market trends and identify potential areas for business expansion. Generate leads, cold call prospective customers and convert prospects into long-term clients. Understand and assess the needs of customers and develop tailored solutions to meet those requirements. Cultivate and maintain strong relationships with new and existing customers, ensuring high levels of satisfaction. Conduct Store Checks and supervise the implementation of sales initiatives. Ensure compliance with company standards at retail locations. Work closely with the marketing team to align sales efforts with promotional activities. Monitor industry trends and adjust sales strategies accordingly to remain competitive. Planning and executing targeted sales campaigns to maximize revenue and market reach. Prepare detailed sales forecasts, conduct market analyses, and present findings to senior management Requirements 2-5 years of proven experience in sales management or business development, within the FMCG industry. A solid understanding of the German consumer market, including key players Strong communication and negotiation Skills Time management and planning skills Ability to analyze market data, identify trends, and make data-driven decisions. Proficiency in the German and English languages Join our client and be a part of a company that values innovation, customer satisfaction, and sustainable growth. If you are passionate about the FMCG industry and have a keen eye for business opportunities, we would love to hear from you!

Location: Dubai, United Arab Emirates Workplace: on-site At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a French Speaking Project Manager to join one of our clients' teams. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you. About the Role: We are looking to recruit an experienced and passionate Project Manager – Events to lead and execute high-profile events for our luxury brand clients. The ideal candidate should have a minimum of 5 years' experience in a similar role, managing end-to-end event project cycles, especially within the luxury, fashion, or retail brand sectors. The role requires strong planning, coordination, and leadership skills, as well as the ability to work under pressure and deliver exceptional experiences that reflect the quality and prestige of the brands we work with. Project Manager – Events Location: Dubai, UAE Industry: Luxury, Fashion, Retail Experience Required: Minimum 5 years Languages: French (Fluent), English (Excellent) Key Responsibilities: Lead and manage the full lifecycle of event projects from client briefing and planning through to on-site execution and post-event reporting. Oversee the project schedule, budget, and resources to ensure timely and cost-effective delivery of all event milestones. Coordinate with internal departments (design, production, logistics) and external vendors (venues, suppliers, contractors) to ensure all deliverables meet the brand’s standards. Maintain and regularly update the project checklist, tracking progress against key milestones. Supervise site installations and ensure all work aligns with event specifications, safety requirements, and luxury brand expectations. Liaise with clients and consultants throughout the project to resolve issues, provide updates, and ensure satisfaction. Conduct site visits during pre-production and production phases to ensure quality control and schedule adherence. Organize and lead pre-installation and technical meetings with relevant stakeholders. Coordinate travel and logistics arrangements for internal teams and third-party vendors where applicable. Ensure proper documentation, including permits, approvals, and completion certificates where necessary. Conduct internal debriefs post-event with relevant teams to assess project outcomes and identify areas of improvement. Evaluate team member performance and provide feedback to support continuous development. Create reporting frameworks and dashboards to track key project metrics and performance indicators. Maintain strong working relationships with local teams and contractors, both domestically and internationally. Bachelor’s degree in Events Management, Marketing, Business, or a related field. Minimum 5 years of relevant experience managing luxury or high-end brand events. Fluency in French is mandatory; excellent communication in English is also essential. Proven ability to manage budgets, timelines, and cross-functional teams. Strong leadership, negotiation, and client-facing skills. Knowledge of event production processes, logistics, and quality control protocols. Experience working across international markets or coordinating with global teams is an advantage. Strong sense of aesthetics, brand sensitivity, and attention to detail. Willingness to travel and work flexible hours as per event requirements.

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: Munich, Germany A bit of context Our Client provides a HRIS SaaS solutions to boost employee efficiency and engagement. They address the main areas of administrative and HR management: time and activities, annual reviews, employee pulse surveys, expense reports, etc. Their products are being used by more than a million people in various businesses, including the upscale Accor hotel chain and the surf brand Rip Curl, as well as in rapidly expanding international companies like Novo Nordisk, Nexthink, and Michel&Augustin. In the realm of stern management tools, they are driven by the conviction that software should not be grey, ugly or boring. That's why they focus on the design and user experience of our products. In 2022, our Client  celebrated its 20th anniversary and embarked on its internationalization journey by establishing subsidiaries in Barcelona and Geneva in 2022 and more recently the Munich office in 2024. Your role We are looking for a Partner Development Manager to generate business leads for the German sales team and to build a strong ecosystem of tech partners in Germany as we have in other countries with a strong partnership ecosystem of 100+ tech partners. Reporting to the Country Manager you will be in charge of : - Creating a portfolio of partners - Developing business relationships - Managing your portfolio of partners Partners may include other SaaS technology providers, solution integrators, tax advisory associations, or HR consulting firms. You will work closely with a global team managing partnerships at Lucca to align partnerships strategies. They will provide you with support, especially during the onboarding period. In more detail, your tasks will involve: Development of the Partner Network in Germany : - Conduct market research to identify potential partners. - Target, identify, and approach prospective partners. Management of the Partner Prospect Portfolio - Monitor the portfolio of prospects with partner sales teams: track partner KPIs, update partnership opportunities. - Conduct product demonstrations for partners and address their product-related questions. - Hold regular meetings with representatives within the partner organizations. - Support partners in their efforts (e.g., bids, presentations, etc.). Partner Network Engagement - Assist in preparing and co-hosting events organized by partners: webinars, trade shows, forums, user clubs, meetings with prospects, etc. - Contribute to updating the content of various tools and materials related to commercial activities. - Stay informed about product launches and roadmap updates. Partner Relations - Ensure partner satisfaction as well as that of their clients. - Propose improvements to the current processes. Partner enablement & processes - Put in place the partner processes with operation team (workflows, CRM). - Develop or adapt partners assets (partners presentations, documents). Requirements Ideal profile ❏  Bachelor or Master degree in business development or related field. ❏  1-2 years prior experience in a B2B sales role in the German market with a partnership mindset or key account management. ❏  Knowledge of the HR domain would be greatly appreciated. Otherwise, we will teach you ;). ❏  Languages: German (C2), English (C1) and French would be a plus. ❏ Comfortable in a fast-paced environment, recovering quickly from setbacks and seeing them as an opportunity to progress. ❏  Like to work in an international team and in a good mood. ❏  Team spirit and intellectual curiosity are your top 2 qualities. Recruitment process Step 1: Phone interview with the Talent Acquisition Manager (30 minutes) Step 2: Interview with the Country Manager (60 minutes) Step 3: Case study followed by a small interview with future colleagues (60 minutes) Step 4: Final Talk in our Munich office(45 minutes)

Location: Subang Jaya, Malaysia The Company: Our client is an independent games development studio founded 2008 in the cultural heart of Southeast Asia. They are a game tech focused studio with both internal OIP (Original Intellectual Property) and external co-development tracks. They build games over multiple platforms, primarily focused on Windows Desktop PC (Unreal Engine). Their flagship and breakout is a fully serviced live operational squad based multiplayer PvP (Player-Versus-Player) 5v5 (Five-Versus-Five) FPS (First-Person-Shooter) and RTS (Real-Time-Strategy) hybrid action combat game launched in 2021. Our client provides full cycle work for hire, co-development, consulting, backend development, and virtual production support disciplines across all departments both internally and externally. Today, they are a team of 60 full-time internal developers and growing. They are committed to be wholly involved in developing digital interactive entertainment software and remain passionately strong. Combined with a people first, through innovation and integrity, they are poised to be the leading force in games development within the region. The Responsibilities: Our client is on the lookout for great full-time talents in Game Programming and Development to join their fast growing team. You will have the opportunity to collaborate with their core team in developing highly engaging, polished, and industry standard interactive game products, full cycle from its core conception to market launch in their many internal and external projects. Principal Responsibilities Work alongside their team and project stakeholders in all aspects of game development. To produce robust, optimized and maintainable code bases for game prototyping, core functionality, game mechanics, and engine features, maintenance, and infrastructure. Contribute side by side with their team of programmers in developing, profiling, optimizing, and debugging code to meet the project’s performance, platform, and quality requirements. Contributing in code reviews, maintenance tests, and documentation. Collaborate alongside multiple internal disciplines and departments, in designing, planning, and ascertaining accurate production estimates, to identify any potential pitfalls during development. To ensure a player-first approach, delivering a first class experience for their players. Team and Personal Responsibilities Good interpersonal, communication, and collaborative skills, is able to effectively liaise over various disciplines, and stakeholders across different project and approval stages. Experienced, or keen to learn and improve new pipeline and production practices through iterative development methodologies, be it traditional or agile workflows. Constantly familiarizing and keeping updated with current industry standards, trends, pipelines, and software to effectively and consistently hit higher graphical benchmarks. Requirements Core Requirements Experience in developing code for Game Engine(s). Experience with Unreal Engine 4, and or 5 (and above). Experience in C++, C#, Blueprints, etc. with good Coding Practices and Principles. Experience in Version Control Software (SVN, Git, Perforce, etc.). Experience in Debugging Issues, Optimizing Performance, and Scaling code bases. Experience in Traditional and or Agile work environments and methodologies. Good problem-solving acumen, with a creative aptitude for unique solutions. Ability to Self-Asses, Iterate, and Improve on one’s own work independently. Knowledgeable in a typical game development cycle. Is Proficient in English, verbal and written. Supplementary Skills Experience with Unreal Engine 4, and or 5 (and above) and its set of features: World Building, Characters, Animation, Materials, Visual Effects, AI, User Interface, Gameplay Frameworks, Developer Tools, etc. Experience with other Game Engine(s). Beneficial & Bonus Skills Experience in Advanced Unreal Engine series of features: Multiplayer and Networking Asset Management Rendering Pipeline (Nanite and Lumen) Gameplay Ability System (GAS) Backend Technologies (Authentication, Game Session Management, Matchmaking, Databases, APIs, Integration from third-party solutions with in-game functionalities, etc.) Experienced in creating cross-platform games for a range of target systems and hardware (Desktop, Console, Mobile, etc.). The Rank Requirements: Junior / Fresh Graduate Game Programmer Possesses a good understanding of scripting and programming when working on a game project. Alongside a sufficient portfolio showcasing in-game mechanics using industry standard software(s) and game engine(s). Previous work should showcase a good foundation in programming concepts, language, and proficiency, with the use of debugging tools towards a certain benchmark within platform specifications. Intermediate Game Programmer Solid experience and demonstrated ability in game engine development tools. Able to develop, maintain and scale codebases to meet project requirements consistently and efficiently. Decent proficiency in in-game technical practices and design principles. Alongside knowledge of performance optimization techniques, and profiling tools in fine-tuning the game. Previous work showcases strong problem solving skills and ability to work with cross-functional teams. Have at least been credited with one title launch, with preferably a minimum of three to four years of industry experience. Senior Game Programmer Excellent knowledge and demonstrated consistency in delivering successful game projects, within its technical requirements. Ability to document workflows, improve pipelines, and mentor new staff. Exceptional low-level programming, optimization techniques, and able to understand game architecture and design patterns. Have at least been credited with two or more game title launches, with preferably a minimum of five to six years of industry experience. Principal Game Programmer Exceptional proficiencies and consistent demonstration in delivering engaging, high-quality, and complex functionalities throughout various high profile projects. Strong game engine technical and optimization ability, with an in-depth knowledge of programming languages and game development tools. Able to benchmark, and document processes, while maintaining the standard of delivery. Have at least been credited with three or more game title launches, with preferably a minimum of eight to ten years of industry experience. Lead Game Programmer Excellent background in game programming development coupled with strong interpersonal, communication, and project management skills. Ability to fully understand and breakdown project requirements, and work closely with all disciplines in maintaining timely delivery of feature deliverables to their respective stakeholders. Demonstrated experience in delegating and maintaining project standards, while adapting, and iterating features based on feedback. Wide knowledge of game engine technical constraints, optimization tools, and implementation processes to determine the best methods and techniques in hitting project targets. Have at least been credited with two or more game title launches, with preferably a minimum of five to six years of industry experience. Benefits Competitive Salary. Flexible Working Hours. Leave Entitlement and Carry Forward Leaves of 10 days until the 31st March the following year. 24/7 Studio Access alongside all production and leisure areas. Employee Wellbeing Fund of MYR1,500, refreshed annually. Employee Health Insurance (AIA), with In-Patient, Out-Patient, and Panel of Doctors Care. Annual Performance Reviews with Transparent Career Development and Pathways. Hybrid Work Option (available on request, with discussion, under management discretion). Relocation Assistance (available on request, with discussion, under management discretion) => only for Malaysian citizens. Full Compensation on all Formal Overtime events.

Location: Sharjah, United Arab Emirates You will be a practitioner on our telehealth platform 'Intellect', where your role is to support our clients' mental health and personal growth based on the individual needs and goals. This is delivered primarily through scheduled 60-minute video sessions on our platform. This is a freelance remote role with the flexibility to decide your business hours. Local candidates are preferred but others can still be considered. This role is a great opportunity to supplement your current job or private practice. We're seeking to partner with Clinical Psychologists and Counsellors to be part of a community working collaboratively to bring greater mental health access to the public to provide mental health coaching What You'll Do Provide 1-on-1 telehealth/or onsite mental health support for Intellect’s clients Focus on clinical cases such as depression, anxiety, trauma, schizophrenia, eating disorders, addiction etc. Collaboratively work with the internal clinical team by suggesting improvements to the program and the platform Requirements Has an active International Coaching Federation Certification OR a Master / Postgraduate Diploma training in Counselling / Clinical Psychology Skilled in coaching techniques and/or evidence-based approaches (e.g. Cognitive Behavioural Therapy, Motivational Interviewing, DBT, SFBT, etc.) ICF Coaches must have at least 200 coaching hours Counsellors and Clinical Psychologists must have at least 300 clinical hours post graduation Candidate must be proficient in English and local language Candidates with prior experience in EAP, counselling working adults or coaching managerial roles are prioritized

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. 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. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: London, 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. 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: Belgrade; London; Berlin Perplexity is looking for a highly skilled Senior or Expert Systems Engineer to join our Search Core team. This role is critical to building next-generation search products and technologies. You will help drive key decisions around the architecture, design, and implementation of foundational components in our technical stack. Responsibilities - Design and build core search engine components, including indexing pipelines, retrieval algorithms, and ranking systems that operate at the scale of billions of pages - Develop streaming and batch data processing systems for search index construction in a high-load environment - Push the limits of hardware performance through low-level optimizations and systems-level tuning - Tackle challenges in multithreading, concurrency, and system-level optimization Qualifications - 3+ years of hands-on experience in systems programming (Rust, C++, C, or similar) - Ownership of full project lifecycle — you don't just write a fast inner loop, you care about how the system is built, deployed, operated, and scaled in production - Knowledge of Python or other scripting languages - Passion for writing clean, efficient, and scalable systems-level code - Strong knowledge of algorithms and data structures, and the ability to apply them effectively - Deep understanding of multithreading, including various approaches, challenges, and trade-offs - Experience building high-load, distributed, and hardware-adjacent services - Solid understanding of Linux internals (syscalls, networking stack, memory model, kernel tuning) - Familiarity with low-level optimization techniques (memory management, cache efficiency, SIMD, profiling) Preferred Qualifications - Experience developing core components of search engines, databases, or information retrieval systems - Understanding of search fundamentals: indexing, query parsing, ranking, and relevance - Experience with trading systems or other latency-sensitive real-time systems - Familiarity with cloud services, Kubernetes, and AWS infrastructure

Location: Marsa, Malta About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. We are currently looking for full-time (40 hours per week) Grocery Store Assistants (or Grocery Associates, as we call them) to join our awesome teams in Wolt Market Malta! In this role you are right in the heart of our day-to-day dark store operations - you’ll be making sure that all orders are gathered and ready to be picked up by our courier partners or customers. Our stores are open 7 days a week, so this role also requires you to be able to work on weekends and in different shifts according to the Wolt Market's opening times and Wolt's delivery times. If you are a team player, enjoy working independently and have a good sense of humour, then you might be just the person we are looking for! 🤩 Wolt Market Marsa Location: Marsa Opening hours: 06:45 until 00:00 Contracts: full-time What you’ll be doing Team cooperation for an excellent management of the store, assisting the store management with all areas of store operation Providing excellent customer service Unpack daily stock deliveries, shop upkeep, restocking & merchandising Ensuring to offer the freshest of produce Completing purchases and bagging groceries Ensuring that the entire store is clean and organized Qualifications You must be at least 18 years old The flexibility to work different shifts including morning, afternoon and late evening shifts, including weekends and public holidays. Our store is open 7 days a week and the working hours are from 06:45 until 00:00 Professional and respectful attitude A friendly communication style with your team The drive to work hard in a fast-paced environment Fluent knowledge of the English language is a must Knowledge of the Maltese language will be considered a plus Previous experience in the retail sector is a big plus What you’ll get by joining us Minimum 24 days of vacation per year Wolt credits cashback benefit Employee assistance program Wolt-wide training programs Fruits and drinks at the Wolt Market Next steps If you are excited about working in a high-growth environment, taking ownership, and being part of an extremely ambitious team, then click below to apply and get the conversation going! 💙 We will be reviewing applications on an on-going basis, so send through your application along with your CV as soon as possible! ❗️Please note that the communication for this position happens via email, so kindly remember to check your email folders frequently❗️ The hourly rate for this role is €7.21. The successful candidate's starting pay will fall within the pay range listed above and is determined based on a number of job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash .

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 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