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Location: Madrid, Alcobendas, Spain Join the Exciting New Team at Imagine Live Spain We’re thrilled to announce the launch of a brand-new team at Imagine Live Spain, a rising star in the online casino market with a fresh approach to live dealer entertainment, we’re set to make waves in the Spanish market. Our mission is clear: to captivate players and provide a premium, unforgettable gaming experience that keeps them coming back for more. Work according to schedule: 8-hour shifts in the morning, afternoon, and night Part-time and full-time positions available Office Location: Alcobendas, Community of Madrid Job type: On-site Requirements Strong willingness to learn, grow, and continuously improve performance within the gaming industry Motivation to work in a multicultural and diverse team environment Basic understanding of customer service principles and practices High level of responsibility, reliability, and punctuality Ability to confidently work in front of cameras and with different studio equipment Excellent communication skills and a naturally engaging, positive presence Proficiency in Spanish (spoken and written) Good command in English (both spoken and written) Strong attention to detail and accuracy in all tasks Proactive, solution-oriented mindset with a positive attitude Previous experience in a casino or gaming environment is an advantage, but not mandatory Responsibilities Game Hosting Conduct live casino games, including but not limited to Blackjack, Roulette, Poker, and Baccarat, in a professional and friendly manner. Maintain high energy and enthusiasm throughout the game, creating a positive experience for online players. Engage with players through live chat or voice, maintaining a polite and professional demeanor at all times. Game Integrity Ensure all gaming rules are adhered to and followed, maintaining the integrity and fairness of the game. Shuffle, deal cards, spin the roulette wheel, or perform other required game activities with precision and accuracy. Monitor player behavior and report any suspicious activities, ensuring responsible gaming practices. Player Interaction Provide clear instructions to players and answer any game-related questions in a friendly and professional manner. Engage with players via live chat to enhance their gaming experience and build a sense of community. Reports player complaints or concerns, escalating issues to the Studio Supervisor when necessary. Compliance & Regulations Follow all local and international gaming regulations, ensuring compliance with responsible gaming practices. Adhere to internal company policies, procedures, and codes of conduct, particularly regarding professional behavior, dress code, and on-camera presence. Technical Management Manage the pace of the game according to studio guidelines and operational procedures. Ensure all equipment, including cards, roulette wheels, and cameras, is functioning properly. Report any technical issues or disruptions immediately to the relevant department. Team Collaboration Work closely with fellow game presenters and studio support staff to maintain seamless operations. Collaborate with technical teams and supervisors to ensure that game flow is uninterrupted and professional. Other info We're excited to announce the opening of a brand-new team at Imagine Live Spain, the latest sensation in the online casino market, located in Alcobendas, Community of Madrid. Imagine Live Spain is taking the Spanish market by storm with its fresh approach to live casino entertainment. We pride ourselves on creating an engaging, dynamic, and inclusive environment where our staff and players can thrive together. We are seeking passionate and proactive casino staff to join our dynamic team. This role is perfect for self-starters who are eager to make a difference and contribute to an electrifying atmosphere. As a member of our team, you will have the unique opportunity to help shape the player's experience, bringing your creativity and enthusiasm to the forefront of our operations. At Imagine Live Spain, we believe that our employees are our greatest asset. We foster a culture of collaboration and innovation, where every team member’s ideas are valued, and every voice is heard. As we build our brand, you will play a pivotal role in creating memorable experiences for our players, ensuring that they receive top-notch service and entertainment. We promise that there is a huge opportunity to make your mark here! Apply now to be one of the first team members joining Imagine Live Spain and to know more about our company and job offers! Contact Email: hrmarketing@imaginelive.com Address: Avenida de la Industria nº 4, Alcobendas - Madrid

Location: Madrid, Alcobendas, Spain Join the Exciting New Team at Imagine Live Spain We’re thrilled to announce the launch of a brand-new team at Imagine Live Spain, a rising star in the online casino market Requirements Strong willingness to learn and continuously improve performance Motivation to work in a multicultural and diverse team environment Basic understanding of customer service principles and practices High level of responsibility, reliability, and punctuality Strong attention to detail and accuracy in tasks Proactive, solution-oriented mindset with a positive attitude Basic knowledge of English (both spoken and written) Previous experience in a casino or gaming environment is an advantage, but not mandatory Experience handling playing cards or operating shuffling machines is considered a plus Responsibilities Card Shuffling Shuffle card decks using manual or automated shuffling machines according to company guidelines and gaming regulations. Ensure that all shuffled decks are randomized and free from any patterns or potential bias. Replace card decks sets as needed during live games and prepare new decks for upcoming shift. Card Inspection Conduct thorough inspections of all card decks to ensure there are no defects, markings, or damages that could compromise the integrity of the game. Report any irregularities or damaged cards to the supervisor for immediate action. Inventory Management: Keep an accurate inventory of all card decks and ensure that the studio has an adequate supply of ready-to-use cards at all times. Safeguard the storage and handling of all card decks to prevent tampering or damage. Collaboration with Dealers: Work closely with online casino dealers and game supervisors to ensure that shuffled decks are delivered promptly for live games. Communicate any issues or delays with the supervisory team to maintain a smooth game flow. Compliance & Regulations: Follow all internal and external regulations regarding the handling, shuffling, and preparation of card decks. Ensure compliance with responsible gaming practices and uphold the highest standards of fairness. Studio Operations Support: Assist in general studio operations as needed, including supporting game preparation and equipment management. Help maintain a clean and organized work environment in the shuffling area Other info We're excited to announce the opening of a brand-new team at Imagine Live Spain, the latest sensation in the online casino market, located in Alcobendas, Community of Madrid. Imagine Live Spain is taking the Spanish market by storm with its fresh approach to live casino entertainment. We pride ourselves on creating an engaging, dynamic, and inclusive environment where our people and players can thrive together. We are seeking passionate and proactive casino staff to join our dynamic team. This role is perfect for self-starters who are eager to make a difference and contribute to an electrifying atmosphere. As a member of our team, you will have the unique opportunity to help shape the player's experience, bringing your creativity and enthusiasm to the forefront of our operations. At Imagine Live Spain, we believe that our employees are our greatest asset. We foster a culture of collaboration and innovation, where every team member’s ideas are valued, and every voice is heard. As we build our brand, you will play a pivotal role in creating memorable experiences for our players, ensuring that they receive top-notch service and entertainment. We promise that there is a huge opportunity to make your mark here! Apply now to be one of the first team members joining Imagine Live Spain and to know more about our company and job offers! Contact Email: hrmarketing@imaginelive.com Address: Avenida de la Industria nº 4, Alcobendas - Madrid

Location: Argentina Workplace: Remote Webflow is the agentic web marketing platform for modern marketing teams, helping organizations build, manage, and optimize high-performing web experiences that drive predictable growth and strengthen brand trust. Building at Webflow will need grit, because we move fast, without ever sacrificing craft or quality. This is a Future Opening. Webflow does not currently have an immediate opening or confirmed start date for this role. We are using this posting to connect with prospective candidates for anticipated hiring needs. If a matching role opens, our Talent team may contact qualified candidates about next steps ABOUT THE ROLE: - Location: Remote-first (Argentina) - Permanent, full-time employee (this is not a contractor position) - Application Information: - This posting is for a future position As a Senior Software Engineer, Fullstack, you’ll …  - Design, and implement scalable multi-tenant backend services and APIs. - Work with technologies such as Node.js, Javascript/Typescript, MongoDB, GraphQL, Apollo, Amazon Web Services EC2, S3, Lambdas, Kafka, and more. - Demonstrable experience and expertise in multiple technical domains. - Contribute to building and executing on functional strategy. - Lead projects that directly contribute to team and engineering organization's deliverables. - Produce maintainable, tested, performant, and scalable code. - Author, collaborate on, and evaluate design documents. - Influence technical designs and team-level prioritization as well as participate in technical solutions. - Collaborate with product managers and designers in an autonomous, supportive team environment. - Mentor junior engineers in technical skills and Webflow culture. - Participate in engineering citizenship activities such as co-authoring engineering blogs, strengthening and improving our hiring processes, and leading internal hackathon teams. In addition to the responsibilities outlined above, at Webflow we will support you in identifying where your interests and development opportunities lie and we'll help you incorporate them into your role. ABOUT YOU: Requirements: - Business-level fluency to read, write and speak in English You’ll thrive as a Senior Software Engineer, Fullstack if you: - Have 5+ years developing and deploying web applications, with a proven track record of shipping code. - Are familiar with Node.js and TypeScript and can write scalable services and APIs using Express.js, GraphQL, Apollo, and MongoDB. - Can debug production issues across services and multiple levels of the stack. - Have proven experience building complex web systems. - Have used testing frameworks (e.g. Jest, Mocha, Playwright, Cypress).  - Are comfortable working in an agile, safe-to-fail, environment. - Stay curious and open to growth-Demonstrate a proactive embrace of AI, actively building and applying fluency in emerging technologies to elevate how we work, drive faster outcomes, and expand collective impact. OUR CORE BEHAVIORS - Build lasting customer trust. We build trust by taking action that puts customer trust first. - Win together. We play to win, and we win as one team. Success at Webflow isn't a solo act. - Reinvent ourselves. We don't just improve what exists, we imagine what's possible. - Own it all the way. We move fast because the moment demands it, and we hold ourselves accountable to deliver outcomes — for each other, and for customers.   BENEFITS - Ownership in what you help build. Every permanent Webflower receives equity (RSUs) in our growing, privately held company. - Health coverage that actually covers you. Comprehensive medical, dental, and vision plans for full-time employees and their dependents, with Webflow covering most premiums. - Support for every stage of family life. 12 weeks of paid parental leave for all parents and 6+ weeks of additional paid leave for birthing parents. Plus inclusive care for family planning, menopause, and midlife transitions. - Time off that’s actually off. Flexible vacation, paid holidays, and a sabbatical program to help you recharge and come back inspired. - Wellness for the whole you. Access to mental health resources, therapy and coaching. - Invest in your future. A 401(k) with 100% employer match (up to $6,000/year) in the U.S., and support for retirement savings globally. - Monthly stipends that flex with your life. Localized support for work and wellness expenses — from Wi-Fi to workouts. - Bonus for building together. All full-time, permanent, non-commission employees are eligible for our annual WIN bonus program.   Temporary employees may be eligible for paid holiday and time off, statutory leaves of absence, and company-sponsored medical benefits depending on their Fixed Term Contract and their country/state of employment.   BE YOU, WITH US At Webflow, equality is a core tenet of our culture. We are an Equal Opportunity (EEO)/Veterans/Disabled Employer and are committed https://webflow.com/diversity-equity-inclusion to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law. Pursuant to the San Francisco Fair Chance Ordinance, Webflow will consider for employment qualified applicants with arrest and conviction records.   STAY CONNECTED Not ready to apply, but want to be part of the Webflow community? Consider following our story on our Webflow Blog https://webflow.com/blog, LinkedIn https://www.linkedin.com/company/webflow-inc-/, X (Twitter) https://twitter.com/webflow, and/or Glassdoor https://www.glassdoor.com/Reviews/Webflow-Reviews-E890506.htm.   PLEASE NOTE: We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Upon interview scheduling, instructions for accommodation requests will be administered. To join Webflow, you'll need a valid right to work authorization depending on the country of employment. If you are extended an offer, that offer may be contingent upon your successful completion of a background check, which will be conducted in accordance with applicable laws. We may obtain one or more background screening reports about you, solely for employment purposes. Webflow uses AI tools to assist in screening and evaluating applications. AI does not make final hiring decisions. For details on how we process your personal information, see Webflow’s Applicant Privacy Notice https://webflow.com/legal/applicant-privacy-notice.

Location: Metn, Lebanon Staff Backend Engineer - L6 The Company Toters is an on-demand e-commerce and delivery platform that enables customers to get anything in their city with the highest level of convenience. At Toters, technology drives everything we do. Our product teams build features that simplify customers' lives, while our engineers create scalable solutions and optimize internal processes to deliver faster and more cost-effectively. If you thrive in a high-growth startup environment and want to help reshape how people shop across the Middle East, join us. Description As a Staff Backend Engineer, you will be responsible for shaping and delivering large-scale, cross-team systems and initiatives that significantly impact product reliability, performance, developer productivity, and business outcomes. You will mentor and grow multiple engineers, drive technical strategy within and across teams, resolve organization-level ambiguity, and proactively raise the bar for engineering excellence. You combine deep hands-on expertise with strong strategic thinking, owning complex domains end-to-end while influencing roadmaps, architecture standards, and team processes at a broader scale. Key Responsibilities Lead the design, architecture, and delivery of large, cross-system features, platforms, or infrastructure components that span multiple teams and quarters-long timelines. Drive technical and architectural decisions for entire domains or product areas, defining long-term strategy, surfacing major trade-offs, and aligning stakeholders across engineering, product, and operations. Own end-to-end system health: Establish observability, reliability practices, performance baselines, and incident response patterns that prevent recurring issues across services. Mentor and coach engineers, provide career guidance, technical pairing, code/design reviews. Identify and eliminate systemic bottlenecks in development velocity, testing, deployment, or onboarding; build shared tools, frameworks, patterns, or automation adopted team-wide or org-wide. Champion and evolve engineering standards, best practices, and conventions; influence adoption across multiple teams through clear reasoning, documentation, and leading by example. Increase engineering leverage by enabling other teams to move faster and more safely through better architecture, shared abstractions, technical guidance, and reusable patterns." Collaborate deeply with product, design, legal, and operations to challenge requirements, refine scopes, assess technical feasibility/risk, and ensure compliance (e.g., privacy, KYC). Lead architecture and design discussions at the team-of-teams level; write detailed specs, RFCs, and decision records that enable async alignment and reduce future rework. Act as a technical escalation point during major incidents, guiding resolution across domains and preventing recurrence through post-mortems and systemic fixes. Key Qualifications Bachelor's degree in Computer Science or equivalent practical experience. 8+ years of hands-on software engineering experience, in backend systems at scale (preferably including PHP/Laravel in high-traffic environments). Expert-level proficiency in backend development, OOP/SOLID/design patterns, microservices, event-driven architecture, and distributed systems principles. Proven track record designing and owning large-scale, performant, reliable backend systems (data modeling, complex schemas, PostgreSQL/MySQL optimization, Redis caching/queuing at scale). Deep experience with cloud infrastructure (AWS preferred), containerization, serverless, CI/CD pipelines, observability (monitoring, alerting, tracing), and incident management. Strong leadership & influence skills: mentoring multiple engineers, driving cross-team initiatives, resolving ambiguity at org level, and building consensus through clear communication. Excellent written & verbal English; ability to write precise technical documents, RFCs, and give constructive feedback across seniority levels. Demonstrated impact on business/product metrics through technical leadership (e.g., reduced latency, improved uptime, accelerated delivery velocity). Nice to Have Experience leading migrations, platform builds, or reliability programs in high-traffic e-commerce/delivery marketplaces. Familiarity with advanced scaling techniques (sharding, eventual consistency, CQRS, etc.). Prior work ensuring regulatory compliance (KYC, privacy, data protection) in collaboration with non-technical teams. Benefits Competitive compensation. Discounts on Toters orders. First-class medical insurance.

Location: Riyadh, Saudi Arabia; Cairo, Egypt; Amman, Jordan; Pakistan; India Müller's Solutions is currently seeking an experienced SAP FICO Consultant with a focus on Costing and Treasury to join our team on a 6-month contract basis. In this role, you will provide expert consultancy for our public cloud SAP FICO implementations, helping clients optimize their financial processes, including cost management and treasury operations. Your contributions will be critical in ensuring successful project completion and client satisfaction. Key Responsibilities: Analyze client requirements related to SAP FICO, specifically in Costing and Treasury, and develop tailored solutions. Configure and implement SAP FICO functionality in the public cloud environment. Collaborate with cross-functional teams to integrate costing and treasury processes with other SAP modules. Conduct workshops and training sessions to enhance clients' understanding of SAP FICO capabilities. Support data migration and perform system testing to ensure successful project execution. Provide ongoing support post-implementation, addressing any issues and optimizing system performance. Stay abreast of the latest updates in SAP FICO and related cloud technologies. Requirements Requirements: Bachelor's degree in Finance, Accounting, Information Technology, or a related field. A minimum of 5 years of experience working as an SAP FICO Consultant, with specific expertise in Costing and Treasury. Experience with SAP S/4HANA Cloud or SAP Public Cloud implementations is highly desirable. Strong understanding of financial processes and regulations within the context of costing and treasury management. Excellent analytical and problem-solving skills to address complex financial scenarios. Strong communication and collaboration abilities to work effectively with clients and teams. SAP certifications in FICO modules (e.g., SAP Certified Application Associate in Financial Accounting) are a plus. Ability to work independently and manage time effectively while supporting multiple tasks. Benefits 1- Attractive Package. 2- Family Benefits. 3- Visa. 4-Air Tickets.

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: Anthropic's ML Performance and Scaling team trains our production pretrained models, work that directly shapes the company's future and our mission to build safe, beneficial AI systems. As a Research Engineer on this team, you'll ensure our frontier models train reliably, efficiently, and at scale. This is demanding, high-impact work that requires both deep technical expertise and a genuine passion for the craft of large-scale ML systems. This role lives at the boundary between research and engineering. You'll work across our entire production training stack: performance optimization, hardware debugging, experimental design, and launch coordination. During launches, the team works in tight lockstep, responding to production issues that can't wait for tomorrow. Responsibilities: Own critical aspects of our production pretraining pipeline, including model operations, performance optimization, observability, and reliability Debug and resolve complex issues across the full stack—from hardware errors and networking to training dynamics and evaluation infrastructure Design and run experiments to improve training efficiency, reduce step time, increase uptime, and enhance model performance Respond to on-call incidents during model launches, diagnosing problems quickly and coordinating solutions across teams Build and maintain production logging, monitoring dashboards, and evaluation infrastructure Add new capabilities to the training codebase, such as long context support or novel architectures Collaborate closely with teammates across SF and London, as well as with Tokens, Architectures, and Systems teams Contribute to the team's institutional knowledge by documenting systems, debugging approaches, and lessons learned You May Be a Good Fit If You: Have hands-on experience training large language models, or deep expertise with JAX, TPU, PyTorch, or large-scale distributed systems Genuinely enjoy both research and engineering work—you'd describe your ideal split as roughly 50/50 rather than heavily weighted toward one or the other Are excited about being on-call for production systems, working long days during launches, and solving hard problems under pressure Thrive when working on whatever is most impactful, even if that changes day-to-day based on what the production model needs Excel at debugging complex, ambiguous problems across multiple layers of the stack Communicate clearly and collaborate effectively, especially when coordinating across time zones or during high-stress incidents Are passionate about the work itself and want to refine your craft as a research engineer Care about the societal impacts of AI and responsible scaling Strong Candidates May Also Have: Previous experience training LLM’s or working extensively with JAX/TPU, PyTorch, or other ML frameworks at scale Contributed to open-source LLM frameworks (e.g., open_lm, llm-foundry, mesh-transformer-jax) Published research on model training, scaling laws, or ML systems Experience with production ML systems, observability tools, or evaluation infrastructure Background as a systems engineer, quant, or in other roles requiring both technical depth and operational excellence What Makes This Role Unique: This is not a typical research engineering role. The work is highly operational—you'll be deeply involved in keeping our production models training smoothly, which means being responsive to incidents, flexible about priorities, and comfortable with uncertainty. During launches, the team often works extended hours and may need to respond to issues on evenings and weekends. However, this operational intensity comes with extraordinary learning opportunities. You'll gain hands-on experience with some of the largest, most sophisticated training runs in the industry. You'll work alongside world-class researchers and engineers, and the institutional knowledge you build will compound in ways that can't be easily transferred. For people who thrive on this type of work, it's uniquely rewarding. We're building a close-knit team of people who genuinely care about doing excellent work together. If you're someone who wants to be part of training the models that will define the future of AI—and you're excited about the full reality of what that entails—we'd love to hear from you. Location: This role requires working in-office 5 days per week in London. 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: £260,000 — £630,000 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: 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: Anthropic's ML Performance and Scaling team trains our production pretrained models, work that directly shapes the company's future and our mission to build safe, beneficial AI systems. As a Research Engineer on this team, you'll ensure our frontier models train reliably, efficiently, and at scale. This is demanding, high-impact work that requires both deep technical expertise and a genuine passion for the craft of large-scale ML systems. This role lives at the boundary between research and engineering. You'll work across our entire production training stack: performance optimization, hardware debugging, experimental design, and launch coordination. During launches, the team works in tight lockstep, responding to production issues that can't wait for tomorrow. Responsibilities: Own critical aspects of our production pretraining pipeline, including model operations, performance optimization, observability, and reliability Debug and resolve complex issues across the full stack—from hardware errors and networking to training dynamics and evaluation infrastructure Design and run experiments to improve training efficiency, reduce step time, increase uptime, and enhance model performance Respond to on-call incidents during model launches, diagnosing problems quickly and coordinating solutions across teams Build and maintain production logging, monitoring dashboards, and evaluation infrastructure Add new capabilities to the training codebase, such as long context support or novel architectures Collaborate closely with teammates across SF and London, as well as with Tokens, Architectures, and Systems teams Contribute to the team's institutional knowledge by documenting systems, debugging approaches, and lessons learned You May Be a Good Fit If You: Have hands-on experience training large language models, or deep expertise with JAX, TPU, PyTorch, or large-scale distributed systems Genuinely enjoy both research and engineering work—you'd describe your ideal split as roughly 50/50 rather than heavily weighted toward one or the other Are excited about being on-call for production systems, working long days during launches, and solving hard problems under pressure Thrive when working on whatever is most impactful, even if that changes day-to-day based on what the production model needs Excel at debugging complex, ambiguous problems across multiple layers of the stack Communicate clearly and collaborate effectively, especially when coordinating across time zones or during high-stress incidents Are passionate about the work itself and want to refine your craft as a research engineer Care about the societal impacts of AI and responsible scaling Strong Candidates May Also Have: Previous experience training LLM’s or working extensively with JAX/TPU, PyTorch, or other ML frameworks at scale Contributed to open-source LLM frameworks (e.g., open_lm, llm-foundry, mesh-transformer-jax) Published research on model training, scaling laws, or ML systems Experience with production ML systems, observability tools, or evaluation infrastructure Background as a systems engineer, quant, or in other roles requiring both technical depth and operational excellence What Makes This Role Unique: This is not a typical research engineering role. The work is highly operational—you'll be deeply involved in keeping our production models training smoothly, which means being responsive to incidents, flexible about priorities, and comfortable with uncertainty. During launches, the team often works extended hours and may need to respond to issues on evenings and weekends. However, this operational intensity comes with extraordinary learning opportunities. You'll gain hands-on experience with some of the largest, most sophisticated training runs in the industry. You'll work alongside world-class researchers and engineers, and the institutional knowledge you build will compound in ways that can't be easily transferred. For people who thrive on this type of work, it's uniquely rewarding. We're building a close-knit team of people who genuinely care about doing excellent work together. If you're someone who wants to be part of training the models that will define the future of AI—and you're excited about the full reality of what that entails—we'd love to hear from you. Location: This role requires working in-office 5 days per week in San Francisco. 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: $350,000 — $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: Mexico We’re looking for a Business Analyst to join our Risk Monitoring team. The team develops and enhances real-time monitoring and decisioning that protects our clients and the bank by detecting suspicious behavior across Fraud and AML/KYT use-cases. We build risk controls, alerting and investigation workflows, and continuously improve control effectiveness using data, feedback from operations, and product signals. Challenges that await you Collecting and formalizing requirements from stakeholders, prioritizing changes based on risk and impact, and leading delivery from discovery to rollout Facilitating communication between engineering, data/ML, risk operations (Fraud/AML), and product to ensure alignment on monitoring roadmap and control design Identifying root causes of monitoring/control gaps (false positives/false negatives, operational bottlenecks, data quality issues) and coordinating cross-functional resolution Implementing best practices in risk analytics and reporting (control effectiveness, alert quality, investigation efficiency) to improve operational performance and risk outcomes Closely collaborating with designers and operations to shape investigation and case-management UX and improve investigator productivity What makes you a great fit Basic SQL proficiency (data validation, exploratory analysis, alert quality checks) Proven experience in eliciting, documenting, and managing requirements for complex systems (preferably in fintech/banking/risk) Ability to translate risk needs into clear deliverables for dev/data teams, with understanding of how services are structured (microservices, integrations, event flows) Strong analytical and systematic thinking; ability to reason in terms of risk, controls, trade-offs, and measurable outcomes Experience in cross-team collaboration and stakeholder management Experience with BPMN/UML/DFD (or similar) to visualize processes, decision points, and data flows B2 or higher English level for effective communication with an international team Your bonus skills Experience with BI tools (Superset, Tableau, etc.) for dashboards, monitoring, and KPI design Understanding of APIs and event streaming (Kafka or similar) Familiarity with concepts such as transaction monitoring, risk scoring (rules/ML), alert triage, case management, and control effectiveness metrics Our ways of working: Innovative Spirit: A commitment to creativity and groundbreaking solutions Honest Feedback: valuing open, transparent communication Supportive Team: a strong, collaborative community Celebrating Achievements: recognizing our wins together High-Tech Environment: a team full of smart and revolutionary people who date to challenge the status quo of incumbent finances Our benefits: Relocation support to Mexico with assistance for the employee and their family Flexible work from our office or hybrid Healthcare Coverage Education Budget: Language lessons, professional training and certifications Wellness Budget: Mental health and fitness activity reimbursements Vacation policy: 20 days of annual leave and paid sick leave

Location: San Francisco, California Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? As a MidMarket Account Executive, you’ll be at the forefront of growth. You’ll own both sides of your territory: winning new logos and growing a portfolio of existing customers to realize the full power of Fin. We’re building a world-class sales organization that is fast, ambitious and driven, and the road ahead is very exciting. This is a seat at the center of the biggest shift selling has seen in decades. You’ll be selling AI agents to fast-growing businesses rethinking how their entire customer experience works, so the conversations are strategic, technical and interesting. You’ll also use AI every day to run your own territory, from qualification to research to how you run a deal. You won’t just talk about the technology, you’ll work with it. At Fin, we do sales differently. We don’t just pitch; we partner. We’re asking customers to make Fin the heartbeat of their business. That takes salespeople who can think bigger, move faster and win with integrity. We invest deeply in every seller’s growth, and development is built into how we promote, learn and lead. In a high-velocity environment that rewards ownership, creativity and ambition, you’ll find room to stretch, influence and make your mark. What will I be doing? Lead the growth and adoption of Fin across your MidMarket territory, with both new prospects and existing customers Manage the full new business sales cycle, from prospecting to close, through a highly consultative approach Own and grow a portfolio of existing customers, driving expansion, retention, renewals and long-term loyalty Engage executives and operators to uncover pain points, position AI-driven solutions and tie Fin directly to business impact Build data-backed territory and account plans that target new logos, upsell, cross-sell and multi-business-unit expansion Manage a high volume of deals, including complex six-figure opportunities across new and existing business Articulate Fin’s value and differentiation using Command of the Message and MEDDPICC. If these are new to you, you’ll be trained on them Run your business with discipline through QBRs, territory planning, and weekly and monthly forecasting across new business and renewal pipeline Track and communicate the metrics behind your growth, including retention, adoption and platform expansion Partner with Sales Leaders, Sales Engineers, Customer Success and the wider solutions team to win flagship logos and grow strategic accounts Bring the voice of the customer to R&D, Product and Marketing, turning real customer needs into product innovation and GTM alignment Stay at the cutting edge of AI using the best internal tooling and enablement in the market Raise the bar for the team by mentoring peers and sharing winning plays What skills do I need? 4+ years in a quota-carrying closing role selling SaaS or DBaaS, with a track record of meeting and exceeding quota Experience winning new business and managing a book of existing customers through retention, renewals and expansion. Strong experience in one with a clear appetite for the other is also welcome Experience, passion and success in outbound prospecting Proven success navigating procurement, complex renewals and senior decision makers Experience selling products with technical complexity or thorough implementation AI fluency or a deep interest in AI tooling, with the ability to turn technical capability into customer value Energized by working in a fast-moving, evolving organization across inbound, outbound and existing customer opportunities Bonus skills and attributes Experience selling AI-powered products Sharp written and verbal communication, adapted to senior stakeholders and technical teams alike A trusted-advisor mindset, building long-term partnerships across multiple levels of complex organizations Demonstrated leadership and influence within your team and across functions A growth mindset, intellectual curiosity and ambition * Proof of eligibility to work in the United States is required. The OTE range for candidates within the San Francisco Bay Area is $226,100 - $270,040. Actual OTE pay will depend on a variety of factors such as education, skills, experience, location, etc. The OTE pay range is subject to change and may be modified in the future. All regular employees may also be eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs). Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Location: London, England Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? Fin's Machine Learning team is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands. We are an extremely product focussed team. We work in partnership with Product and Design functions of teams we support. Our team's dedicated ML product engineers enable us to move to production fast, often shipping to beta in weeks after a successful offline test. We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test and measure the real customer impact of each model we deploy. What will I be doing? Play an active role in hiring, mentoring and career development of other engineers Raise the bar for technical standards, performance, reliability, and operational excellence Identify areas where ML can create value for our customers Identify the right ML framing of product problems - Working with teammates and Product and Design stakeholders Conduct exploratory data analysis and research - Deeply understand the problem area Research and identify the right algorithms and tools - Being pragmatic, but innovating right to the cutting-edge when needed Perform offline evaluation to gather evidence an algorithm will work Work with engineers to bring prototypes to production Plan, measure & socialize learnings to inform iteration Partner deeply with the rest of team, and others, to build excellent ML products What skills might I need? 5-8 years applied ML experience Previous background in a senior/staff role (data science, software development or academic) Significant, demonstrated impact that your work has had on the product and/or the teams Strong programming skills Experience as the primary technical leader for a team Strong communication skills, both within engineering teams and across disciplines. Comfort with ambiguity Typically have advanced education in ML or related field (e.g. MSc) Scientific thinking skills Bonus skills & attributes Track record shipping ML products PhD or other experience in a research environment Deep experience in an applicable ML area - E.g. NLP, Deep learning, Bayesian methods, Reinforcement learning, clustering Strong stats or math background Visualization, data skills, SQL, matplotlib, etc. Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Location: London, England Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? Fin's Machine Learning team is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands. We are an extremely product focussed team. We work in partnership with Product and Design functions of teams we support. Our team's dedicated ML product engineers enable us to move to production fast, often shipping to beta in weeks after a successful offline test. We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test and measure the real customer impact of each model we deploy. What will I be doing? Identify areas where ML can create value for our customers Identify the right ML framing of product problems Working with teammates and Product and Design stakeholders Conduct exploratory data analysis and research Deeply understand the problem area Research and identify the right algorithms and tools Being pragmatic, but innovating right to the cutting-edge when needed Perform offline evaluation to gather evidence an algorithm will work Work with engineers to bring prototypes to production Plan, measure & socialize learnings to inform iteration Partner deeply with the rest of team, and others, to build excellent ML products What skills might I need? Broad applied machine learning knowledge 3-5 years applied ML experience Practical stats knowledge (experiment design, dealing with confounding etc) Intermediate programming skills Strong communication skills, both within engineering teams and across disciplines. Comfort with ambiguity Typically have advanced education in ML or related field (e.g. MSc) Scientific thinking skills Bonus skills & attributes Track record shipping ML products PhD or other experience in a research environment Deep experience in an applicable ML area. E.g. NLP, Deep learning, Bayesian methods, Reinforcement learning, clustering Strong stats or math background Visualization, data skills, SQL, matplotlib, etc. Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Location: Hong Kong Nex is on a mission to help families rediscover the joy of movement. Created by parents for parents, Nex combines technology and play to deliver fun, social, and interactive experiences powered by natural body motion, encouraging kids and adults to move more, play more, and have fun together. Nex Playground, the company’s award-winning active play system, is purpose-built to get families moving year-round, with safety and privacy as core considerations in its intentional design. It is certified kidSAFE+ COPPA compliant and built to support healthy, active play for all ages and abilities. Nex Playground features a growing library of 50+ experiences, including motion and dance games, fitness and educational experiences, and Nex Originals. Content includes collaborations with partners like Hasbro, Sesame Workshop, and NBCUniversal. Nex has been recognized by Fast Company’s Most Innovative Companies, TIME’s Best Inventions, and Parents’ Best Entertainment System for Families, and has earned Red Dot, IDEA, and Core77 international design awards. We encourage you to explore Have Fun and Is Motion Gaming Back? , as they offer a deeper look into our culture, values, and explain how our approach to motion gaming differs from previous generations. Nex employees may be expected to collaborate with colleagues across different time zones. Depending on the role and location, occasional travel may also be required for company events, external meetings, and other business-related activities. Important Notice: ⚠️ To protect yourself from recruitment scams, please note that Nex communicates through official company emails ending in @nex.inc . If you receive a suspicious email or message, please do not respond and report it immediately to us. The Role Location: Hong Kong Type: Part Time Hours: Less than 18 hour every week. Availability to work in the office is required. Reports to: Associate Director, QA Job Description We're on the hunt for enthusiastic Part-Time Game Testers to help us polish gameplay, squash bugs, and ensure our titles deliver unforgettable experiences. Key Responsibilities ⁠Playtest unreleased games in the Playground ⁠Identify bugs, glitches, and gameplay issues ⁠Provide clear, constructive feedback on user experience, design, and performance ⁠Collaborate with QA engineers to improve game quality Key Qualifications ⁠Strong interest in gaming across genres Excellent observational and communication skills ⁠Ability to follow detailed instructions and meet deadlines Sport player is a big advantage Willing to handle repetitive tasks & physical exercises Basic computer skills (e.g. operate MAC & Android operating systems/ Google Sheet, etc) We Offer Competitive compensation package. Flexible working hours and vacation policy. Product-driven culture that treasures talents and individual growth. Front-row seat and hands-on experience with cutting edge technologies in the evolving gaming field Nex is located in San Jose, California, USA and Hong Kong . Learn more about us at https://www.nexplayground.com/about . We encourage applications even if you don’t meet more than 50% of the requirements — we believe that experience comes in many forms! Nex is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, gender identity, and sexual orientation), national origin, ancestry, age, physical or mental disability, medical condition, genetic information, marital status, military or veteran status, or any other characteristic protected by applicable law. This policy applies to all individuals at every stage of the employment relationship, including all current and prospective employees, and covers all employment decisions including recruitment, hiring, job assignment, promotion, compensation, benefits, training, discipline and termination. We are committed to providing a workplace free from discrimination and harassment and to fostering an inclusive environment for all employees.

Location: Riyadh, Saudi Arabia Müller's Solutions is actively seeking an experienced S/4HANA PS Consultant to join our dynamic team. In this role, you will focus on providing expert consultancy on SAP S/4HANA Project Systems (PS) to our clients, ensuring that they leverage the full capabilities of the software for effective project management. You will work closely with clients to understand their project requirements, design tailored solutions, and facilitate successful implementations. Key Responsibilities: Engage with clients to gather project requirements and translate them into S/4HANA PS solutions. Design, configure, and implement SAP S/4HANA Project Systems functionality to meet client needs. Collaborate with cross-functional teams to integrate PS with other SAP modules, ensuring seamless data flow and project execution. Conduct workshops and training sessions for clients to enhance their understanding of S/4HANA PS functionalities. Support data migration and system testing during implementation to ensure accuracy and compliance. Provide post-implementation support and maintenance, addressing any issues that arise. Stay current with SAP developments and best practices in S/4HANA and project management. Requirements Requirements: Bachelor's degree in Business Administration, Computer Science, or a related field. A minimum of 5-6 years of hands-on experience with SAP S/4HANA, specifically in the Project Systems module. Strong understanding of project management methodologies and processes. Experience in integrating S/4HANA PS with other SAP modules such as Finance, Controlling, and Materials Management. Excellent problem-solving skills and the ability to adapt to changing client requirements. Strong communication and interpersonal skills to effectively liaise with clients and team members. Hands-on experience with data migration strategies and tools for S/4HANA. SAP certification in Project Systems or S/4HANA is highly desirable. Ability to work independently and manage multiple tasks in a fast-paced environment. Benefits Why Join Us: Opportunity to work with a talented and passionate team. Competitive salary and benefits package. Exciting projects and innovative work environment.

Location: Riyadh, Saudi Arabia About the Role: Müller`s Solutions is on the lookout for a talented SAP HCM Payroll Consultant to join our dynamic team. In this role, you will be responsible for implementing and managing SAP HCM Payroll solutions to optimize payroll processes for our diverse clientele. You will work closely with clients to gather requirements, customize solutions, and ensure that payroll operations run smoothly and efficiently. Key Responsibilities: Engage with clients to understand their payroll requirements and translate these into effective SAP HCM Payroll configurations. Configure, implement, and enhance SAP HCM Payroll systems in accordance with best practices. Conduct thorough testing of payroll processes and assist clients during user acceptance testing. Provide ongoing support for payroll processing and address any issues that arise. Stay informed about the latest developments in SAP HCM Payroll and related compliance issues. Collaborate effectively with the project team to ensure timely and successful project delivery. Requirements Requirements: To succeed in this role, candidates should possess the following qualifications: Bachelor's degree in Human Resources, Business Management, or a relevant field. At least 3 years of experience implementing and supporting SAP HCM Payroll. Strong knowledge of payroll processing and compliance regulations. Excellent analytical and problem-solving abilities. Effective communication skills to liaise with stakeholders at all levels. Ability to work independently as well as collaboratively within a team. Prior experience with other SAP modules is a plus. Benefits Why Join Us: Opportunity to work with a talented and passionate team. Competitive salary and benefits package. Exciting projects and innovative work environment.

Location: Jeddah, Saudi Arabia; Riyadh, Saudi Arabia; Tabuk, Saudi Arabia; Yanbu, Saudi Arabia; Al Khobar, Saudi Arabia Eram Talent is looking for a dedicated Project Coordinator to join our team in Saudi Arabia. In this role, who will report to the Lead, Operational Strategy & Planning, and is responsible for providing operational support for day-in-the-life operations for the project team at NEOM. Their primary goal is to ensure that resource requirements are carefully planned and managed in support of achieving overall operational objectives and that operational reporting is conducted and managed in accordance with operational procedures. Scope of Work Coordinate Reporting Processes: Prepare and organize strategic reports, presentations, and documentation for internal leadership and external partners. Data Management & Analysis: Streamline data collection and analysis to support effective and timely decision-making. Dashboard & Tracking Tools Development: Support the creation of dashboards, tracking tools, and progress reports to monitor timelines, deliverables, and KPIs. Project Performance Monitoring: Develop and maintain a performance database to track progress and achievement of project milestones. Produce Operational Reports: Generate regular internal and external reports highlighting project status, risks, and achievements. Action Tracking & Follow-up: Take meeting minutes, track assigned actions, monitor deadlines, and ensure timely completion of deliverables. Risk & Issue Reporting: Identify and escalate project risks, delays, or issues through appropriate reporting channels. Communication Support: Serve as liaison between project teams and stakeholders to ensure accurate and timely information flow. Support Scientific & Educational Reporting: Contribute to the development of educational and scientific materials for outreach, training, or awareness. Event & Travel Reporting: Provide logistical summaries, post-event reports, and detailed travel itineraries for meetings and senior leadership travel. Requirements Bachelor’s degree in Business, Facility Management, Data Analytics, IT, or related field. Minimum 3 years of experience in project coordination and data analysis, preferably on large-scale projects. Proficient in creating and managing data dashboards using tools like Power BI, Tableau, or Excel to track project metrics. Experience working with CAFM (Computer-Aided Facility Management) software for facility management and project tracking. Strong skills in managing project timelines and coordinating teams. Strong organizational and communication skills to coordinate cross-functional teams and report insights. Excellent communication skills for reporting project and data insights. Excellent organizational and multitasking skills Effective communication and interpersonal skills

Location: Remote: United States; Remote: Canada Workplace: Remote At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. APPLYING TO RENDER We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time. ABOUT THE ROLE The Render Security team is a small, dedicated team of engineers that runs all things security at Render. - Full-Stack Security Ownership - We don't just monitor; we build. From custom security tooling to comprehensive threat assessment, we own the entire security lifecycle at Render. - Engineering-First Approach - We are a team of engineers that understand security deeply, we create solutions that integrate seamlessly with development workflows rather than creating friction. - Proactive - We stay ahead of threats through continuous assessment, automated monitoring, and rapid response. By joining Render at an early stage, you will be directly involved with building out foundational security for Render and make decisions that will shape our product and company, directly impacting developers around the globe. YOU WILL: - Build internal tooling to enable secure access to resources (e.g., wrappers, utilities, authentication services, and proxies). - Implement detection and monitoring systems that alert the team to high signal vulnerabilities - Analyze and assess security issues identified through threat modeling, penetration testing, security scans and vulnerability disclosure. - Work with developers on sensitive code paths and educate them on secure design patterns. - Liaise with customers regarding their security and compliance needs, and in return, inform our security program. - Communicate security risks and solutions to technical and non-technical stakeholders as part of company-wide planning and prioritization processes. - Stay up-to-date with the latest security threats, vulnerabilities, and best practices and make recommendations for improvements to our security posture. - Partner with product engineering teams to inform and build thoughtful security features for our customers. - Continually ensure that our systems have appropriate authentication, authorization, and accounting with low internal overhead. WE'RE LOOKING FOR: - 6+ years of professional experience in software engineering or security. - Experience designing and building secure web applications, tools, and APIs. - Experience with vulnerability review and analysis - Strong incident leadership and diligent response. - Empathy toward the rest of the team and our customers - Strong sense of ownership and ability to make pragmatic decisions about your work. NICE-TO-HAVES: - Detection engineering experience through implementation and maintenance of a SIEM. - Experience with any of the technologies the Render product runs on: Go, Typescript, Kubernetes, Postgres, Terraform, Temporal. - Experience with compliance frameworks such as SOC 2, ISO 27001, HIPAA or PCI. - Proven expertise in exploiting common security vulnerabilities, demonstrating practical experience in identifying and leveraging vulnerabilities to assess security posture. - Experience securing applications and systems through threat modelling and risk assessments. - Active participation and contributions to the security community through public research, blogging, presentations, and other means. If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need. BENEFITS - 4 weeks of paid vacation. - 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return. - Long-term disability, life insurance, and 401K plans. - 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well. - Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc. - Monthly cell phone and internet subsidy. - Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders. - Continuous learning benefits & related support. This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization. Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. We encourage all who are interested to apply. We can't wait to hear from you! 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Location: Remote Workplace: Remote Blockstream https://blockstream.com/ was founded in 2014 by Dr. Adam Back https://en.wikipedia.org/wiki/Adam_Back and a group of fellow cryptographers and engineers who are passionate about Bitcoin and its potential to change the world. Today, Blockstream is the leading Bitcoin company, providing cutting-edge infrastructure solutions for enterprises, institutions, and individual Bitcoin users. We develop industry-leading Bitcoin self-custody solutions, Bitcoin-based financial products, second-layer scaling technologies, and enterprise-grade blockchain infrastructure. As Rust-Simplicity Maintainer, you will be the primary steward of Blockstream’s Rust-based Simplicity implementation and associated libraries. These libraries include rust-simplicity, SimplicityHL, hal-simplicity, rust-elements, and elements-miniscript, all of which need to work together performantly, coherently and in sync with the wider Simplicity project. This role includes architecture, implementation, review and maintenance of these libraries, which are written and Rust and cover creation, analysis and wallet integration of the Simplicity blockchain language. What You’ll Be Doing (Responsibilities): - Core Ownership: Maintain the Rust implementation of Simplicity, expanding it to cover new use-cases and improving our CI and QA processes. - Multi-Repo Maintenance: The Simplicity integration covers multiple crates, including rust-simplicity, SimplicityHL, hal-simplicity, rust-elements, and elements-miniscript. - Code Review & Quality Assurance: Provide at least one additional maintainer-level code review for each repository to ensure that nothing merges without at least one signoff independent of the author. - Continuous Integration: Maintain and improve CI pipelines to ensure robust, automated testing and quick feedback on code changes. - Ecosystem Integration: Collaborate with other teams to integrate Simplicity into Bitcoin-related projects, such as Elements and Liquid. - Community Engagement: Review pull requests, manage GitHub issues, and guide open-source contributors across all maintained projects. - Documentation: Maintain clear, developer-friendly documentation for internal and external audiences. What We Look For In You (Required Qualifications): - Strong proficiency in Rust (2+ years professional experience preferred). - Familiarity with Bitcoin, blockchain protocols, or cryptographic systems. - Strong written communication skills and ability to work in a globally distributed team. Nice To Haves (Preferred Qualifications): - Proven track record of maintaining or leading open-source projects. - Knowledge of formal methods, theorem provers, or functional languages like Haskell. - Understanding of Simplicity’s design goals and architecture. - Experience with blockchain virtual machines, scripting systems, or transaction policy tools like Miniscript. - Prior contributions to Bitcoin Core, Elements, or related protocol implementations. 🔒 Stay Safe from Job Scams All official Blockstream communication will come from an @blockstream.com email address. We will never ask you to share sensitive information or purchase equipment during the hiring process. If in doubt, contact us at hr@blockstream.com. Learn more about avoiding job scams here https://consumer.ftc.gov/consumer-alerts/2022/05/want-work-home-spot-scams-first.

Location: Amsterdam, Netherlands; Remote - Europe About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The team The Hardware Automation team builds the internal platforms and tooling that power how Nebius operates its data center infrastructure at scale. Our mission is to eliminate manual effort, reduce human error, and give every team in the Hardware Infrastructure department real-time visibility and control over the systems they own. We operate as a product engineering team embedded within hardware infrastructure — meaning we don't just write requirements and hand them off. We own the full stack: from requirements gathering with data center operations and hardware engineering, through design and build, all the way to rollout and ongoing reliability. The role Ensure fault-tolerance, scale and uninterrupted operations for our services. Use cutting-edge technology to solve a variety of infrastructure problems. Implement and improve CI/CD processes. We expect you to have : Proficiency in Linux systems, with expertise in Python and Bash scripting for automation. Demonstrated ability to troubleshoot complex system issues, including hardware, software and networking problems. Strong analytical and problem-solving skills, with a focus on optimizing system performance. Working proficiency in English. It would be an added bonus if you had : Desire to be involved in backend development. Experience designing, developing and running high-load distributed systems. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.