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Location: Ciudad de México, Mexico Workplace: hybrid About Aleph Aleph is a global leader accelerating digital advertising, and fintech solutions across more than 130 high-growth markets. With more than 20 years of experience and strategic partnerships with over 50 of the world's leading digital platforms, Aleph connects media, payments, and local market expertise to enable platforms and businesses to grow and operate globally with speed and compliance. With teams in more than 90 offices worldwide, Aleph combines global scale with deep local execution. Beyond business impact, Aleph drives digital inclusion through its education initiative, Digital Ad Expert, member of UNESCO’s Global Skills Academy. About the Role As a member of our sales team, you’ll play a vital role in driving revenue growth. Your focus will be on account management (gestión de cuentas), driving incremental revenue by helping your clients reach their digital advertising campaign goals consistently. What You Will Do Acquire a thorough understanding of key customer needs and requirements, develop trust-based relationships, and pitch new solutions or improvements. Serve as the communication link between key customers and internal teams. Solve any issues faced by clients. Prepare regular progress and forecast reports for internal and external stakeholders. Provide sales forecasts and market updates to Aleph management. What We Are Looking For Experience: 3+ years in one or more of the following roles, or similar: key account manager at a leading performance marketing agency; account manager at a major advertising platform (Google, Facebook, etc.); performance specialist or similar in a marketing team; customer success manager at a marketing technology company. Digital marketing knowledge: Experience running sophisticated SEM campaigns with large budgets. Experience running other performance campaigns (objectives such as ROAS, CPA, and CPL) is also valuable. Measurement: Knowledge of attribution models and experiment design, and of conversion tracking (pixels, MMPs, SDKs). Personal skills: A proactive commercial mindset, strong problem-solving skills and a willingness to learn, plus analytical acumen and attention to detail. Languages: English and Spanish (both required). Tools (required): Excel, Google Sheets, PowerPoint, and Google Slides. Tools (desirable): Analytics, Tag Manager, MMPs (AppsFlyer, Adjust, etc.), and Looker Studio. Why Join Aleph Impact: Play a vital role in driving revenue growth by helping clients reach their campaign goals on Microsoft Advertising, one account at a time. Growth: Aleph gives its internal talent room to learn, take on bigger scope, and grow together across a global organization. Team culture: Join a place of many cultures, perspectives, and talents, where people support each other and communication and partnership come first. Market context: Work in performance marketing, where search, attribution, and conversion tracking keep evolving, and where curiosity and a willingness to learn pay off. Flexibility: A hybrid setup (2 days per week in the Ciudad de México office) that balances collaboration and focus time. We use Lever, our recruitment management platform, which includes AI-powered features that may assist our hiring team in reviewing applications, analyzing CVs, and identifying relevant qualifications. These tools support, but do not replace, human judgement. All hiring decisions are made by people. For more information about how your personal data is processed, including your rights in relation to AI-assisted processing, please see our Candidate Privacy Policy or contact us at privacy@alephdigital.com. “Share our similarities, celebrate our differences.” – M. Scott Peck   #ALEPH

Location: New York City, NY; 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 GSI team partners with the world’s largest Global System Integrators and strategy consultancies to deploy frontier AI into the core of how they deliver client work and run their own businesses. These are complex, partner-led organizations where the first engagement is rarely the full opportunity, and where lasting partnerships are built across practice areas and at the executive level. As an Strategic Account Executive on the GSI team, you’ll own a named book of accounts and the full revenue outcome for each. You’ll develop a point of view on where Claude creates the most value across a firm’s practice areas, advisory services, delivery teams, and internal operations, build relationships with the partners and executives who sponsor transformation at that scale, and expand the partnership well beyond the original buyer. These firms are both customer and future channel — your sell-to motion sets up the sell-with later. You’ll work closely with Product, Applied AI, GTM, and Partnerships leadership to shape how Anthropic shows up across the GSI landscape, while advancing our mission of developing AI that is safe, beneficial, and deployed responsibly. This is a role for someone who has owned large, complex partner-led accounts end to end and is comfortable operating independently at the executive level. Responsibilities Own all revenue outcomes for a named book of GSI accounts, driving both new logo acquisition and multi-practice expansion through complex, multi-quarter sales cycles involving partner-led approval, global procurement, and custom commercial terms Develop a clear thesis for each priority firm — where Claude creates value across knowledge management, advisory workflows, deliverable generation, and client engagements — and execute a sequenced engagement plan across practices, regions, and stakeholders Build and independently advance executive relationships with Managing Partners, Practice Leads, MDs, CIOs, CTOs, and Heads of AI/Digital, anchoring every conversation to their strategic priorities: utilization, leverage, realization, and billable productivity Proactively create demand in unengaged practice areas and regions, using early wins as proof points to open new doors across decentralized, partner-led organizations Build quantified, firm-specific business cases mapped to the GSI operating model — using their own language and metrics — that shape deals rather than justify them after the fact Identify and close lighthouse partnerships that become references across the GSI landscape and set up the future sell-with motion Partner cross-functionally with Product, Applied AI, Engineering, and Partnerships to inform the roadmap based on GSI buyer needs, and contribute to the playbook, proof points, and commercial structures that become the repeatable GSI motion You may be a good fit if you have 8+ years of enterprise software sales experience with a track record of owning named accounts at large, complex, partner-led organizations (global SIs, strategy consultancies), managing multi-quarter sales cycles through technical evaluations, partner-led approval, and global procurement Demonstrated ability to independently build and advance relationships at the Partner, MD, and C-suite level — including practice leadership and innovation/digital executives — and hold credible conversations across both technical and business audience Experience building firm-specific business cases grounded in the firm's own operating metrics (utilization, leverage, realization, margin) and defending commercial terms through complex negotiations Background selling platform, API, cloud infrastructure, or emerging technology into enterprises evaluating a new category Genuine interest in AI and strong alignment with Anthropic's mission of responsible AI development A history of growing accounts meaningfully beyond the original engagement by proactively creating demand across new practice areas, regions, and use cases What will make you stand out Direct experience selling into Global SI’s or strategy consultancies, and fluency in how partner-led firms operate and measure success Experience as an early AE in a vertical or segment, where you helped build the sales motion rather than inherit it Background selling developer platforms, cloud infrastructure, or AI/ML tooling into traditional partner-led services firms 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: $380,000 — $450,000 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: CCA THE ROLE As a Forward Deployed Engineer at Wonderful, you’ll turn complex enterprise workflows into AI agents that work in the real world. You’ll operate at the intersection of engineering, product, and customer delivery. Embedding directly with enterprise teams, you’ll uncover how their operations actually run, identify where AI can create meaningful value, and build the systems that deliver it. You’ll lead projects from initial discovery through production deployment, combining customer insight with hands-on engineering. After launch, you’ll measure real-world impact and keep iterating until the solution delivers meaningful results. This role is for versatile engineers who enjoy combining deep technical work with customer context. You’re comfortable entering unfamiliar environments, asking incisive questions, and shipping practical solutions without waiting for a perfect specification. WHAT YOU’LL DO - Embed with customers to understand their workflows, constraints, and measures of success. - Turn loosely defined operational problems into clear technical plans and production systems. - Design and build AI agents that integrate with customer tools, data, and business processes. - Own deployments from prototype through launch, monitoring, and continuous improvement. - Test with real-world data, measure business outcomes, and iterate based on evidence. - Make pragmatic tradeoffs across architecture, reliability, speed, and user experience. - Partner closely with Wonderful’s Product and Engineering teams to improve the core platform. - Turn lessons from individual deployments into reusable tools, patterns, and best practices. WHAT WE’RE LOOKING FOR - 5+ years of experience building software or solving complex technical problems. - Strong foundations in software architecture, system design, and production engineering. - Experience working across APIs, integrations, data flows, and distributed systems. - The ability to bring structure and momentum to ambiguous problems. - Confidence working directly with customers, from operational teams to technical stakeholders. - Clear communication, sound judgment, and a strong sense of ownership. - Genuine curiosity about applied AI and its potential to transform how businesses operate. NICE TO HAVE - Experience in a forward-deployed, solutions engineering, consulting, or customer-facing technical role. - Experience building AI agents, workflow automation, or conversational systems. - Familiarity with LLM evaluation, observability, and reliability in production. - Experience deploying and improving systems in complex enterprise environments. Candidate Privacy Notice https://www.wonderful.ai/careers/candidate_notice

Location: Adriatics WHAT YOU'LL DO As a Deployment Strategist at Wonderful, you are responsible for making AI deployments actually land. Wonderful is the AI operating system for enterprises, helping them close the gap between what AI enables and how they operate today. You lead enterprise customers from early discovery through pilot and production rollout, translating ambitious AI initiatives into clear scopes, executable plans, and measurable outcomes. You sit between the customer, Forward Deployed Engineers, and Product, ensuring everyone is aligned on what is being built, why it matters, and how it will succeed in production. This is a hands-on role for people who enjoy ambiguity, ownership, and seeing complex projects through to the end. - Embed deeply with customers to understand their processes and systems, identify the most important problems to solve, and obsess over helping them win. - Lead discovery with enterprise customers to understand workflows, constraints, and success criteria. - Define scope, success metrics, and integration plans for pilots and rollouts. - Translate customer needs into clear deployment plans for engineering teams. - Coordinate deployments across Product, Engineering, and customer stakeholders. - Track progress, manage risks, and remove blockers throughout the deployment. - Support production launches and ensure solutions are adopted and working as intended. - Monitor deployed agents and drive follow-up improvements based on real usage. - Identify additional use cases and expansion opportunities with customers. You will spend time onsite with customers, working through real constraints, answering difficult questions, and ensuring solutions deliver real value. WHY SHOULD YOU - You’ll be part of what is tipped as the fastest-growing startup in Europe. - Work on a cutting-edge agentic solution, the hottest topic in Enterprise right now. - You’ll join a team of high-agency builders coming from the best tech companies out there. - Never boring - you’ll be solving problems for and with the biggest Enterprises in the world. WHO YOU ARE - Experience in deployment-focused, technical, or execution-oriented roles. - Strong ability to structure ambiguous problems and turn them into concrete plans. - Comfort working with technical concepts such as APIs, MCP, data flows, and system integrations. - Clear communication and strong stakeholder management skills. - High ownership mindset and bias toward action. - Interest in building and deploying AI-powered systems in real environments. NICE TO HAVE - Background in solutions engineering, technical consulting, or forward-deployed roles. - Prior hands-on engineering experience. - Experience supporting production software launches. - Experience working in high-growth or early-stage environments. WHY THIS ROLE EXISTS Enterprises are ready to use AI, but execution is the hard part. This role exists to bridge that gap. You will help customers deploy AI agents that integrate with real systems, respect real constraints, and deliver measurable outcomes. Candidate Privacy Notice https://www.wonderful.ai/careers/candidate_notice

Location: Amsterdam, Netherlands; Tel Aviv, Israel 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 role Nebius is looking for an experienced Security Architect Manager to lead our cybersecurity architecture function, with a strong focus on Kubernetes security, cloud infrastructure, cloud-native architectures, and secure software development. The role is responsible for defining and implementing security architecture principles, designing secure cloud-native environments, and embedding security throughout infrastructure provisioning and software development lifecycles. The successful candidate will combine deep technical expertise in Kubernetes and cloud security with proven team leadership, architectural design, and cross-functional collaboration skills. They will work closely with Cloud Engineering, DevOps, R&D, Platform Engineering, IT, and Security teams to ensure that security is built into the organization’s technology foundations. Your responsibilities will include: Cybersecurity Architecture Define and maintain the organization’s cybersecurity architecture, reference architectures, security standards, and design principles. Lead security architecture reviews for new systems, applications, infrastructure, and technology initiatives. Translate threat models, business requirements, and risk assessments into practical security controls. Establish security-by-design principles across cloud, infrastructure, application, and platform architectures. Identify architectural security gaps and drive remediation roadmaps. Kubernetes and Cloud-Native Security Design and implement security architectures for Kubernetes-based environments and cloud-native platforms. Secure Kubernetes clusters, control planes, worker nodes, namespaces, workloads, and cluster-to-cluster communications. Define and enforce Kubernetes security best practices, including RBAC, workload identity, network policies, admission controls, Pod Security Standards, and secrets management. Secure container images and registries, including image scanning, provenance, signing, and supply chain integrity. Implement runtime security, workload isolation, threat detection, and monitoring for containerized environments. Secure Kubernetes ingress, service-to-service communications, APIs, and service mesh architectures where applicable. Establish security controls for container orchestration platforms across development, testing, and production environments. Evaluate and manage Kubernetes security risks, misconfigurations, excessive privileges, exposed services, and vulnerable workloads. Cloud Infrastructure Security Lead security architecture across AWS and/or Microsoft Azure, including cloud-native and hybrid environments. Define secure cloud landing zones, identity and access management, network segmentation, encryption, logging, and key management. Implement preventive and detective security controls using cloud-native security services and centralized policy enforcement. Drive cloud security posture management and remediation using CSPM, CNAPP, and related technologies. Ensure alignment with organizational security requirements and relevant industry standards. Secure Development and DevSecOps Integrate security throughout the Software Development Life Cycle (SDLC), from design and coding to deployment and production operations. Partner with R&D, DevOps, and Platform Engineering teams to embed security into CI/CD pipelines. Define and implement automated security controls, including SAST, DAST, Software Composition Analysis (SCA), secrets detection, and container image scanning. Establish secure coding standards, threat modeling practices, API security requirements, and secure software supply chain controls. Promote developer-friendly security tooling and reusable security patterns that minimize friction and accelerate delivery. Drive remediation of vulnerabilities and architectural weaknesses in collaboration with engineering teams. Security Engineering and Risk Management Develop technical security standards, architecture patterns, and security control baselines. Conduct threat modeling, attack-path analysis, architecture risk assessments, and security design reviews. Define security requirements for identity, access, data protection, network security, workload isolation, and observability. Collaborate with Security Operations to improve security telemetry, detection capabilities, and incident readiness. Evaluate emerging security technologies and recommend solutions based on risk reduction, operational effectiveness, and architectural fit. Track security findings and drive measurable improvements in the organization’s security posture. Team Leadership and Collaboration Lead, mentor, and develop a team of cybersecurity architects and security engineers. Define team strategy, technical priorities, delivery plans, and measurable performance indicators. Build effective partnerships with Cloud Engineering, DevOps, R&D, Platform Engineering, and other technology stakeholders. Communicate complex architectural risks and technical trade-offs to senior management and engineering leadership. Foster a culture of engineering excellence, automation, accountability, and continuous improvement. We expect you to have: 7+ years of experience in cybersecurity, security engineering, cloud security, or security architecture. 3+ years of experience managing technical teams or leading senior technical professionals. Strong practical knowledge of Kubernetes architecture and container security in production environments. Demonstrated experience securing cloud-native workloads and distributed systems. Strong expertise in AWS and/or Microsoft Azure security architecture. Hands-on understanding of Kubernetes RBAC, network policies, admission controllers, workload security, secrets management, and container runtime security. Experience with Docker or other container technologies, Kubernetes deployment workflows, and container registries. Strong understanding of cloud networking, IAM, encryption, key management, logging, and workload protection. Practical experience with Infrastructure as Code and automated security controls. Experience securing CI/CD pipelines and integrating security into software development processes. Knowledge of threat modeling, vulnerability management, security architecture reviews, and risk assessment methodologies. Proven ability to influence engineering teams and translate security requirements into scalable technical solutions. Excellent communication skills in English. Key Success Metrics Improved security posture and reduced attack surface across Kubernetes and cloud environments. Reduction in critical misconfigurations, excessive privileges, and recurring architectural vulnerabilities. Increased adoption of secure-by-design architecture patterns across engineering teams. Improved security coverage and automation across CI/CD pipelines and infrastructure provisioning. Reduced time to remediate critical security findings. Consistent implementation of Kubernetes and cloud security baselines. Improved collaboration between cybersecurity, cloud infrastructure, platform, and development teams. Development of a high-performing cybersecurity architecture team. 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.

Location: Singapore About Workato Workato is the leading Control and Execution Platform for Enterprise AI — the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 — including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors — Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit workato.com . Why join us? Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles . We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care . That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you! Also, feel free to check out why: Business Insider named us an “enterprise startup to bet your career on” Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America Quartz ranked us the #1 best company for remote workers Note: We are only considering applications from candidates currently based in Singapore. We are looking for a Senior Software Engineer (Golang) to join our Platform team . Our platform is a large-scale system combining a Ruby on Rails monolith with a growing ecosystem of Go microservices. In this role, you will build and maintain business logic and enterprise-grade features for the Workato platform, including on-premise features, authentication, caching, work queuing, and APIs. You will also be expected to: • Design, build, and maintain Go microservices with a focus on correctness and reliability. • Implement business logic and enterprise-quality standards across the platform. • Collaborate with Infra and SRE teams to ensure high availability and scalability requirements are met. • Contribute across all phases of the development lifecycle. • Write well-designed, testable, and efficient code. • Evaluate and propose improvements to existing systems. Product & Technology Context: Strong web development background, with experience building user-facing products — including UI, business logic, and integrations with external APIs. Product-minded engineering experience: you understand how technology ties back to user and business needs, not just infrastructure. Track record of shipping user-facing business features across product platforms, developer experience platforms, or other customer-facing surfaces. Solid production experience — typically 7+ years — with the depth and maturity to build and support systems in production. Clear understanding of how web applications work end-to-end, and how the different pieces fit together to deliver a product or business outcome. Depth and consistency in technical background — we value engineers who've built real expertise over time, rather than hopping across many different stacks. Our core platform is a Ruby on Rails monolith, with some Go services handling more focused functions alongside the Ruby/monolith team. Experience with these is a plus, but we care most about strong engineering fundamentals and product experience. This role isn't primarily ML/LLM-focused, so candidates whose recent experience has been mostly in ML/LLM work may not be the strongest fit here. Required • 7+ years of industry experience in software engineering. • Solid experience with Go on the backend (2+ years). • Good debugging, analytical, and problem-solving skills. • Understanding of core building blocks of web applications: databases, load balancers, application servers, message brokers, caching, monitoring, etc.. • Experience working with distributed systems. • Familiarity with version control (Git) and CI/CD practices. Nice to Have • Experience with Ruby on Rails. • Experience building B2B systems. • Experience in related fields (DevOps, ML, DBA, Enterprise applications, etc.). • Experience with third-party REST APIs at scale (request throttling, batch processing, etc.). • Contributions to open-source projects. Soft Skills / Personal Characteristics • Readiness to work with teams distributed across multiple timezones. • Strong spoken and written English. • Curiosity and openness toward new technologies; willingness to experiment. • Ownership mindset — comfortable taking features from design through to production and maintenance. REQ ID: 2423

Location: Dubai, United Arab Emirates; Abu Dhabi, United Arab Emirates; Ras Al-Khaimah, United Arab Emirates; Fujairah, United Arab Emirates Our client, a prestigious restaurant in Dubai specializing in Continental cuisine, is seeking a dedicated and skilled Commis 1 to join their culinary team. The ideal candidate will assist senior chefs in the preparation and cooking of classic Continental dishes, ensuring high quality and presentation standards are met consistently. Key responsibilities include preparing ingredients, maintaining cleanliness and organization of the kitchen workstations, assisting with food preparation and plating, and adhering to food safety and hygiene regulations. The Commis 1 will work closely with the culinary team to support smooth kitchen operations in a fast-paced environment. This position is perfect for culinary professionals eager to develop their skills and gain valuable experience in a renowned restaurant setting in Dubai. Requirements Minimum 1-2 years experience as a Commis 1 or similar role, preferably in Continental cuisine. Strong passion for cooking and willingness to learn. Good knowledge of basic cooking techniques and kitchen operations. Ability to work efficiently under pressure in a fast-paced environment. Attention to detail and commitment to maintaining hygiene and cleanliness standards. Good communication skills and ability to work well within a team. Culinary Diploma or equivalent Benefits As per market standards

Location: Riyadh, Saudi Arabia Muller's Solutions is seeking an experienced SAP FI/FM Consultant with strong expertise in SAP Financial Accounting (FI) and Funds Management (FM) to support implementation, day-to-day operations, and system optimization. The role requires solid hands-on experience in SAP FI processes including General Ledger (G/L), Accounts Payable (AP), Accounts Receivable (AR), asset accounting, and financial closing activities, along with strong Funds Management knowledge. The candidate will ensure accurate financial postings, budget control, and Availability Control (AVC), while maintaining seamless integration across SAP FI, FM, MM, PS, and CO modules. The role also involves troubleshooting complex FI posting issues, ensuring financial data integrity, and supporting business users in end-to-end financial and budgetary processes. Key Responsibilities: Provide L2 support for SAP FI/FM issues and incidents Handle end-to-end FI support activities including general ledger (G/L) postings, Accounts Receivable management and Accounts Payable Management, document processing, and financial closing support Monitor and resolve issues related to budget control (BCS) and availability control (AVC) Support and maintain derivation rules and FM master data (Fund, Fund Center, Commitment Item) Analyze and fix posting errors related to FI/FM integration with CO and MM modules Investigate and resolve FI issues such as document posting errors, tax/GL determination, and account assignments Support reconciliation between FI and FM/CO postings to ensure data consistency Work with business users to resolve tickets and provide functional guidance on FI and FM processes Ensure correct configuration and support of FI postings impacting Funds Management Requirements Requirements: 5–8 years of SAP FI/FM experience Hands-on configuration experience in SAP FI and FM with at least two end-to-end (E2E) implementations Strong knowledge of FI (GL, AP, AR, Asset Accounting) and Funds Management (BCS, AVC, derivation rules) Experience in support projects (ticket handling, issue resolution) Good understanding of integration with FI/CO, MM, and PS modules Strong troubleshooting skills in FI document postings and FM budget consumption Ability to analyze financial posting issues across FI and FM layers 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: Mexico; Colombia; Argentina; Brazil; Panama; Costa Rica About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include high-growth startups, digital agencies, and innovative tech companies across SaaS, MarTech, FinTech, and EdTech. Unlike traditional outsourcing models, you are placed directly with a client as an in-house team member—giving you long-term career growth, stability, and impact. Job Summary We’re looking for a highly driven Sales Development Representative (SDR) with 4+ years of experience in B2B SaaS sales. This is a remote sales role focused on outbound prospecting, lead generation, and booking qualified meetings for Account Executives. You’ll play a critical role in building pipeline and driving revenue growth. This role is ideal for someone experienced in cold outreach, CRM management, and SaaS sales cycles, who thrives in a fast-paced, target-driven environment. Key Responsibilities Execute high-volume outbound prospecting via cold calls, emails, and LinkedIn outreach Identify and qualify leads within target markets and ICP (Ideal Customer Profile) Book qualified meetings and demos for Account Executives Manage and track leads using CRM tools (e.g., Salesforce, HubSpot) Personalize outreach messaging to increase engagement and conversion rates Collaborate with marketing and sales teams to optimize lead generation strategies Consistently meet or exceed monthly quotas for meetings and pipeline generation Maintain accurate records of all activities and interactions in the CRM Requirements 4+ years of experience as a Sales Development Representative (SDR) or similar outbound sales role Proven track record in B2B SaaS sales and lead generation Strong experience with cold calling, email sequencing, and LinkedIn prospecting Proficiency with CRM platforms such as HubSpot, Salesforce, or similar tools Excellent communication and objection-handling skills Highly self-motivated, results-driven, and comfortable working remotely Experience working with international clients (US/UK markets preferred) Strong understanding of SaaS sales funnels and buyer journeys Benefits 💻 Fully Remote: Work from anywhere with international teams 🚀 Career Growth: Join companies in SaaS, MarTech, and B2B services 🤝 Peer Community: Connect with high-performing sales professionals in our network 🧭 Ongoing Support: Receive guidance from Huzzle before and after placement 💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals

Location: Dubai, United Arab Emirates; Abu Dhabi, United Arab Emirates; Sharjah, United Arab Emirates; Ras Al-Khaimah, United Arab Emirates; Fujairah, United Arab Emirates; Umm Al Quwain, United Arab Emirates Apt Resources is seeking a competent and proactive Restaurant Floor Supervisor to join our client’s prestigious dining establishment in Dubai. The ideal candidate will be responsible for managing the floor operations, ensuring exceptional guest service, and maintaining smooth coordination between front-of-house staff and kitchen teams. In this role, you will play a key part in elevating the dining experience by supervising daily restaurant activities, training and supporting staff, and promptly addressing guest needs and concerns. Key Responsibilities: Supervise the restaurant floor operations to ensure efficient and flawless service. Lead and motivate the floor staff to deliver outstanding customer service. Coordinate with kitchen and bar staff to manage guest orders and ensure timely delivery. Train and mentor new and existing staff on service standards and processes. Handle guest complaints and feedback with professionalism and follow up to ensure satisfaction. Monitor cleanliness and organization of the dining area to uphold company standards. Assist management with inventory control and stock management. Requirements Proven experience as a Restaurant Floor Supervisor or similar role in the hospitality industry. Excellent communication and interpersonal skills. Strong leadership and team management abilities. Ability to work effectively in a fast-paced environment. Good problem-solving skills and guest-oriented mindset. Proficient in restaurant management software and MS Office. Flexible availability including evenings, weekends, and holidays. Benefits As per the market standards

Location: Dubai, United Arab Emirates; Abu Dhabi, United Arab Emirates; Sharjah, United Arab Emirates Apt Resources is seeking a skilled DCDP Butcher for a reputable restaurant based in Dubai. The successful candidate will be responsible for preparing and handling a variety of meats and fish according to company standards while ensuring hygiene and safety procedures are strictly followed. Responsibilities: Receive and inspect meat and fish deliveries for quality and quantity compliance. Prepare all meat and fish products as per company specifications and standards. Maintain cleanliness and hygiene in meat and fish preparation areas, including proper storage in refrigerators and freezers. Collaborate closely with the Executive Chef, Sous Chef, and Food & Beverage Manager to coordinate orders and preparation. Operate and maintain cutting equipment and tools responsibly, reporting any maintenance issues promptly. Ensure compliance with health, safety, and food hygiene regulations. Follow portion control and production procedures outlined in company policies. Participate in sanitation inspections of the preparation areas. Requirements Minimum 3 years' experience as a butcher in hotels, high-end restaurants, or cruise ships. Ability to prepare various cuts of meat and fish to company standards. Culinary Diploma or equivalent. Strong knowledge of quality control, production processes, and proper storage techniques. Excellent communication skills and ability to work closely with kitchen and F&B management teams. Understanding of health and safety regulations and hygiene standards. Ability to work efficiently in a fast-paced environment. Benefits As per the market standards

Location: Dubai, United Arab Emirates; Abu Dhabi, United Arab Emirates; Ras Al-Khaimah, United Arab Emirates Our client, a leading restaurant in Dubai, is seeking a skilled Commis 1 Butcher to join their kitchen team. The successful candidate will be responsible for preparing and handling meat and fish products according to company standards, ensuring the highest level of quality and hygiene in the meat preparation area. Key Responsibilities: Inspect incoming deliveries of meat and fish for quality and quantity compliance. Prepare and cut meat and fish products following standard recipes and portion control guidelines. Maintain cleanliness and hygiene of meat and fish preparation areas, including proper storage in refrigerators and freezers. Collaborate closely with the Executive Chef and Sous Chef to ensure timely preparation and availability of meat products. Operate and maintain butcher equipment and machinery safely and efficiently. Follow all safety and sanitation regulations and participate in area inspections. This is an excellent opportunity for a dedicated butcher to be part of a dynamic kitchen team in a reputable Dubai restaurant. Requirements Minimum of 3 years experience as a butcher in hotels, restaurants, or cruise ships. Proficiency in preparing various meat and fish products to specified company standards. Culinary diploma or equivalent Knowledge of quality control, portion control, and proper storage techniques. Strong communication skills and ability to work collaboratively within a kitchen team. Good understanding of hygiene and safety standards in food preparation. Benefits As per market standards

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 Product Engineering org is looking for experienced engineers with strong full-stack fundamentals to join one of teams owning our current or emergent products. You'll be a technical leader who thinks holistically about the consumer and/or enterprise end user experience - be that via Claude.ai , the Anthropic API, enterprise deployments, Claude Code, or mission-driven applications - and carry real end-to-end ownership. You'll partner with engineering managers, product leaders, designers, and researchers to understand new model capabilities and redefine what is possible for users in the world of LLMs - and how to build it. We’ll look to you to have a product-oriented mindset and input, own technical quality across the stack (performance, accessibility, reliability, and developer experience), scale your efforts to millions of users on a global scale, and carry genuine excitement about what AI makes possible. We have multiple teams that are currently hiring. Team placement occurs after the interview process, taking into account your interests and experience alongside organizational needs. This flexible approach allows us to match talented engineers with the backend product efforts where they'll have the greatest impact and growth potential. What you'll do: Developer Experience: You'll build the products and tools - console, SDKs, docs, and observability - that give developers the confidence to rely on Claude in their most critical applications. Our mission is to meet developers where they are and bring them closer to the ceiling of what's possible with our models and API. That means building trust through great platform fundamentals, inspiring developers to raise the bar in how they use Claude's capabilities, and accelerating the path to agentic development by designing for both human and AI developers. You'll work closely with teams across the Platform org to turn Claude's newest capabilities into experiences developers can actually pick up and run with - from first prompt to production agent. Beneficial Deployments: Beneficial Deployments Engineering brings Claude to organizations doing the most good with the fewest resources — nonprofits, schools, healthcare providers, researchers, and economic mobility programs.We're looking for a full-stack engineer to build the access programs, tooling, and product work that make frontier AI usable for teams that couldn't afford this capacity any other way. Vertical AI Products: Purpose-built experiences for specific industries where Claude can transform complex professional work. We're currently building for three verticals, with more to come: Life Sciences — an agentic research platform for scientists: specialist agents for computational biology, literature review, and regulatory review, built on model capabilities we're investing in for biology and chemistry. Live with early customers and expanding fast. Enterprise AI Products: You'll work on the products that make Claude a daily-use tool for enterprise customers across industries – the connective tissue that lets Claude operate effectively across workflows. On this team you will systematically understand why Enterprise users aren't activating, what's blocking adoption, and building the capabilities to close those gaps.Some of our focuses are: Extensibility — plugins, skills, connectors, and the MCP ecosystem that lets a company shape Claude around their specific workflows and distribute that work across teams. Context — enterprise knowledge, organizational memory, and the retrieval layer that makes Claude genuinely aware of a company's people, documents, and workflows. A connected, contextual Claude is the difference between a general-purpose chatbot and a real coworker. Proactivity — Cowork suggestions, workflow capture, ambient Claude inside the apps people already use. Moving from "Claude answers when asked" to "Claude notices what you need". Public Sector: Build products that deliver Claude to the U.S. federal & state governments and allied democracies — from FedRAMP environments to classified networks. We're a startup-minded team with huge surface area: we own Claude for Government, ship zero-to-one products into the most regulated environments in the world, and work directly with the agencies using them. Enterprise Foundations: You'll build the systems large organizations require before they can adopt Claude at scale: identity and permissions, security and compliance controls, and the admin analytics that let them see how it's being used. This is the work that turns "we love the demo" into a signed enterprise deal.The role is part product, part platform. You'll work closely with Product and GTM to understand what our largest customers need, then build it once in a way that works across Claude.ai, Claude Code, and Cowork. Growth: Drive user acquisition, engagement, retention, and monetization through data-driven strategies and technical implementations. At Anthropic, we're not just building AI tools; we're reimagining how AI can enhance and expand its user base! As a member of the growth team, you will have a unique opportunity to shape our growth strategy. You will work with a cross-functional team of engineers, data scientists, marketers, and product managers to design, implement, and optimize growth initiatives that scale our AI-powered tools and maximize their impact. You might be a good fit if you: Have a minimum of 6 years of practical full-stack engineering experience Have led the design and delivery of complex, consumer or B2B user-facing products across the full stack Are technically proficient in modern frontend and backend development, with demonstrated depth in key languages and frameworks (ie. React, Typescript) Take a product-focused approach to building solutions that are robust, scalable, and easy to use Have worked in early start-up or otherwise fast moving, rapidly evolving environments, and have ideally built products from 0 to 1 Have successfully driven cross-team alignment to get impactful work shipped, and work with influence over authority Have experience establishing engineering standards, component architectures, and development best practices Thrive in fast-paced environments and can navigate ambiguity to deliver high-quality products Deadline to apply: None. Applications will be reviewed on a rolling basis. Location Preference: Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of teams. 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: $320,000 — $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: 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 Product Engineering org is looking for experienced engineers with strong full-stack fundamentals to join one of teams owning our current or emergent products. You'll be a technical leader who thinks holistically about the consumer and/or enterprise end user experience - be that via Claude.ai , the Anthropic API, enterprise deployments, Claude Code, or mission-driven applications - and carry real end-to-end ownership. You'll partner with engineering managers, product leaders, designers, and researchers to understand new model capabilities and redefine what is possible for users in the world of LLMs - and how to build it. We’ll look to you to have a product-oriented mindset and input, own technical quality across the stack (performance, accessibility, reliability, and developer experience), scale your efforts to millions of users on a global scale, and carry genuine excitement about what AI makes possible. We have multiple teams that are currently hiring. Team placement occurs after the interview process, taking into account your interests and experience alongside organizational needs. This flexible approach allows us to match talented engineers with the backend product efforts where they'll have the greatest impact and growth potential. What you'll do: Platform Ecosystem: The Ecosystem team is empowering the next big industries beyond coding to build on our platform & creating the right commercial rails to let any business in our ecosystem profit from building on Claude. As an early member of this foundational effort, you'd identify and build for the next 10x markets starting with Life Sciences and Healthcare. We also build the commercial rails and controls that let the platform do business anywhere, with anyone, and turn Claude from a cost line into a revenue line. Beneficial Deployments: Beneficial Deployments Engineering brings Claude to organizations doing the most good with the fewest resources — nonprofits, schools, healthcare providers, researchers, and economic mobility programs.We're looking for a full-stack engineer to build the access programs, tooling, and product work that make frontier AI usable for teams that couldn't afford this capacity any other way. Vertical AI Products: Purpose-built experiences for specific industries where Claude can transform complex professional work. We're currently building for three verticals, with more to come: Life Sciences — an agentic research platform for scientists: specialist agents for computational biology, literature review, and regulatory review, built on model capabilities we're investing in for biology and chemistry. Live with early customers and expanding fast. Enterprise AI Products: You'll work on the products that make Claude a daily-use tool for enterprise customers across industries – the connective tissue that lets Claude operate effectively across workflows. On this team you will systematically understand why Enterprise users aren't activating, what's blocking adoption, and building the capabilities to close those gaps.Some of our focuses are: Extensibility — plugins, skills, connectors, and the MCP ecosystem that lets a company shape Claude around their specific workflows and distribute that work across teams. Context — enterprise knowledge, organizational memory, and the retrieval layer that makes Claude genuinely aware of a company's people, documents, and workflows. A connected, contextual Claude is the difference between a general-purpose chatbot and a real coworker. Proactivity — Cowork suggestions, workflow capture, ambient Claude inside the apps people already use. Moving from "Claude answers when asked" to "Claude notices what you need". Public Sector: Build products that deliver Claude to the U.S. federal & state governments and allied democracies — from FedRAMP environments to classified networks. We're a startup-minded team with huge surface area: we own Claude for Government, ship zero-to-one products into the most regulated environments in the world, and work directly with the agencies using them Enterprise Foundations: You'll build the systems large organizations require before they can adopt Claude at scale: identity and permissions, security and compliance controls, and the admin analytics that let them see how it's being used. This is the work that turns "we love the demo" into a signed enterprise deal.The role is part product, part platform. You'll work closely with Product and GTM to understand what our largest customers need, then build it once in a way that works across Claude.ai, Claude Code, and Cowork. Growth: Drive user acquisition, engagement, retention, and monetization through data-driven strategies and technical implementations. At Anthropic, we're not just building AI tools; we're reimagining how AI can enhance and expand its user base! As a member of the growth team, you will have a unique opportunity to shape our growth strategy. You will work with a cross-functional team of engineers, data scientists, marketers, and product managers to design, implement, and optimize growth initiatives that scale our AI-powered tools and maximize their impact. You might be a good fit if you: Have a minimum of 8 years of practical full-stack engineering experience, ideally with 2+ years operating at a Staff or equivalent technical leadership level Have led the design and delivery of complex, consumer or B2B user-facing products across the full stack Are a technical expert in modern frontend and backend development, with demonstrated depth in key languages and frameworks (ie. React, Typescript) Take a product-focused approach to building solutions that are robust, scalable, and easy to use Have worked in early start-up or otherwise fast moving, rapidly evolving environments, and have ideally built products from 0 to 1 Care deeply in investing in the mentorship and growth of your peers Have successfully driven cross-team/cross-org organizational alignment to get impactful work shipped, and work with influence over authority Have experience establishing engineering standards, component architectures, and development best practices Thrive in fast-paced environments and can navigate ambiguity to deliver high-quality products Deadline to apply: None. Applications will be reviewed on a rolling basis. Location Preference: Preference will be given to candidates based in NY, NJ, SEA, SF or the Bay Area given the current location of team. 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: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role: Anthropic is looking for experienced, product-minded engineers to own the backend systems that power user experiences across our API, Claude Code, and Claude.ai. You'll independently scope complex, multi-month projects through ambiguous problem spaces and lead peers through technical and product decisions; you'll drive alignment with product, peer engineering teams, and research to identify capability gaps and translate frontier model improvements into shipped products. You'll make architectural decisions that affect the reliability and scalability of systems serving hundreds of thousands of global users (including internal teams), and design processes that help your team operate effectively and never fail the same way twice - all while staying hands-on with the code and our models. We have multiple teams that are currently hiring. Team placement occurs after the interview process, taking into account your interests and experience alongside organizational needs. This flexible approach allows us to match talented engineers with the backend product efforts where they'll have the greatest impact and growth potential: Platform Intelligence: You'll build and scale the foundation of the Claude API—the systems that deliver Claude's intelligence to every developer, from startups to enterprise. You'll own the performance, reliability, and efficiency of our core serving path, ensuring users get the most speed and value from our models. You'll partner closely with inference and safeguards to optimize the full stack. Platform Ecosystem: The Ecosystem team is empowering the next big industries beyond coding to build on our platform & creating the right commercial rails to let any business in our ecosystem profit from building on Claude. As an early member of this foundational effort, you'd identify and build for the next 10x markets starting with Life Sciences and Healthcare. We also build the commercial rails and controls that let the platform do business anywhere, with anyone, and turn Claude from a cost line into a revenue line. We are hiring founding engineers for these two pillars. We are looking for engineers who have good product and business sense to drive strategy, dive into different stacks, and break through walls to drive these 0 -> 1 efforts. You'll be working closely with product, design, GTM, FDE, and other internal & external customers to build out and deliver on the strategy. Platform Serving: You'll focus on transforming Claude into a true knowledge worker by ensuring the model has access to and understanding of the right knowledge at the right time. You'll work on making it possible for developers to securely give Claude access to their data while automatically processing and retrieving relevant information. You'll partner directly with research to bring state-of-the-art retrieval advancements to developers. Developer Experience: You’ll focus on building products and tools to enable developers to harness the full power of LLMs to create successful, reliable, and groundbreaking applications with ease. You’ll build the tools to accelerate developers from idea to deployment. You'll help figure out how to leverage Claude to improve developer's usage of the API, such as generating and evaluating prompts while collaborating closely with the teams above to bring Claude's current and future capabilities to developers. Agentic Systems: You'll build the infrastructure and APIs that let developers create powerful agentic applications on the Claude API — including Claude Managed Agents, our managed platform for deploying and running agents in production. Your work spans the primitives agent developers depend on: tool use, multi-step reasoning, durable sessions and environments, and long-running task execution that lets Claude take actions and accomplish complex goals on a user's behalf. You'll make this platform ready for the largest enterprises to adopt, and partner with research to bring cutting-edge agent capabilities into production. Auth & Identity: We build and maintain the critical infrastructure and control interfaces that power identity and authentication across Anthropic's product suite. We work closely with product teams, security, support, and trust & safety as customers. We create scalable solutions for user authentication, authorization, role-based access control, and single sign-on that form the backbone of our company's identity management operations. We maintain a user-centric approach, building reliable systems that our users and company can depend on as we tackle complex challenges at the intersection of security, scalability, and user experience. Platform Distribution: The Claude API today is a rapidly growing platform serving developers and enterprises at scale—but reaching the next tier of enterprise customers requires transforming how and where we deploy it. The Distributability team owns that transformation: making the Claude API a cloud-native, managed product that runs wherever our customers need it, cross-cloud and on Anthropic's own infrastructure, with the enterprise-grade security, compliance, and operational capabilities to support it. Enterprise Foundations: We're looking for a software engineer to join our Enterprise Foundations team—the team that makes Claude enterprise-ready at scale. When a Fortune 500 company wants to roll out Claude to 100,000 employees, we're the team that makes it possible.You'll build the foundational systems that large organizations require before they can deploy AI at scale: user and permissions management, security and compliance features, and analytics infrastructure. This work directly converts product-market fit into revenue by removing the deployment blockers that prevent large organizations from adopting Claude broadly. Platform Safety: We're building the identity and verification product layer that enables safe model launches as Claude's capabilities expand. This critical effort partners with Safeguards, Auth & Identity, Policy, and Product teams across API, Claude.ai , and third-party platforms as customers, creating the systems for KYC/KYB, trust grant issuance and inheritance, and end-user verification that flow across every Anthropic surface. We sit at the intersection of trust, compliance, and product velocity, delivering the verification primitives that let Anthropic ship advanced model capabilities to the right users at massive scale. You Might Be a Good Fit If You: Have 8+ years of relevant experience as a backend or product engineer, with a track record of leading complex, multi-month projects or teams as a tech lead or equivalent Have strong coding fundamentals and are comfortable working across backend systems, APIs, and integrations — and can reach into the frontend when needed to ship an effective solution Have led the design and delivery of large-scale backend systems in production that power high-adoption B2B or consumer facing products Are skilled at driving alignment across technical and non-technical teams; you communicate clearly, influence technical decisions beyond your immediate team, and help others ramp effectively on your systems Take a product-focused approach to your work work and care about building solutions that are robust, scalable, and easy to use Care deeply about investing in the mentorship and growth of your peers Have experience with distributed systems, API design, and cloud infrastructure at scale Thrive in fast-paced environments and can navigate ambiguity to find the highest-leverage path forward 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: $405,000 — $485,000 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: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations Austin, US Lisbon, Portugal London, UK NYC, US About the Role The Egress team was formed to own a very important aspect of Cloudflare's network-as-a-service: Egress connectivity for our vast portfolio of products. As a member of the Egress team, you will be a key technical contributor to a cutting edge network software infrastructure used by a growing number of Cloudflare products to connect to any destination from Cloudflare's network. Among the products powered by this technology is WARP, our Zero Trust platform, and Cloudflare's egress proxy for the iCloud Private Relay product. You will work closely with various Engineering teams to translate their requirements into new capabilities on the platform. Likewise you will partner with Network Engineering and SRE to ensure that the technology makes the best use of Cloudflare's world-class edge network. You will participate in all stages of the software development lifecycle, from designing and documenting systems, to writing code and automated tests, to planning, managing, and monitoring production software deployments. You will work with a wide range of technologies and programming languages, including Rust, Go, Linux networking, ClickHouse, PostgreSQL, Grafana, Kubernetes, and more. Engineering teams at Cloudflare operate a Run What You Build model, including ours. We are responsible for the health of our system and participate in our team's on-call rotation as part of operational responsibilities. Because you’ll be solving problems of massive scale and significance, you are a growth-oriented individual who enjoys being outside of your comfort zone. You are comfortable in a fast-paced but sensible work environment. You value curiosity and empathy and lead with these values. Responsibilities Make daily progress on assigned engineering tasks, such as designing systems, writing specs, writing and pushing code via git, writing release plans for complex changes, rolling out production releases and working with other teams to coordinate system actions Participate in daily and ad-hoc team meetings to share progress and collaborate Participate in the team’s on-call schedule to ensure uptime of our production systems Investigating customer issues that are escalated to the Egress team for triage and resolution Responding to questions from other teams in the Egress team’s internal, public chat room Using AI-powered tools and systems as part of your daily workflow to analyze and extend codebases, introspect production systems and datasets, and accelerate problem-solving Desirable Skills, Knowledge, and Experience Programming experience in Go or Rust and a desire to improve your skills in both. A solid grasp of networking protocols in Layers 3 and 4 of the OSI Model. Knowledge of HTTP, TLS, and CDN networks. Experience in implementing secure and highly-available distributed systems. Strong ability to debug issues in complex systems. Strong collaboration and communication skills. Experience/interest in HTTP networking and VPN technologies. Experience/interest in network performance monitoring and tuning. Willingness to adopt and integrate AI tools and systems into your engineering workflow. Bonus Points Knowledge of TCP/IP and Internet routing. Professional systems-level programming experience in Rust. Experience building tools and APIs. Experience with monitoring, alerting, and debugging large-scale distributed systems Experience participating in an on-call rotation. Experience using AI-assisted development tools (e.g., code completion, codebase analysis, log/data exploration) in a professional setting. Compensation ● For Portugal based hires: Estimated annual salary is between €66,000 - €91,000. The final offer will be inclusive of time exemption, in alignment with the applicable law and collective bargaining agreements. Equity This role is eligible to participate in Cloudflare’s equity plan. What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

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: We are looking for experienced software engineers to join our Platform organization. We build the foundational primitives that accelerate product development across Anthropic, and own infrastructure and systems that teams depend on to ship reliably and at scale - either internally or by hundreds of thousands of external global users and companies at all stages. You'll independently scope complex, multi-month projects, drive cross-org alignment through ambiguous problem spaces, and make architectural decisions that shape how Anthropic builds and scales its products. You'll partner directly with research to productize cutting-edge capabilities, and will have lasting impact on the platform that hundreds of thousands of companies and internal/external engineers depend on every day. We have multiple teams that are currently hiring. Team placement occurs after the interview process, taking into account your interests and experience alongside organizational needs. This flexible approach allows us to match talented engineers with the backend product efforts where they'll have the greatest impact and growth potential. You might be a good fit if you: Have a minimum of 8 years of practical experience as a backend or platform engineer building scalable distributed systems, ideally operating at tech lead level or equivalent distributed systems, cloud-native products, developer tools, or external developer facing products Have strong fundamentals in service-oriented architectures, networking, and systems design, ideally having owned both the technical vision and execution of a foundational platform system end to end Are proficient in Python, Go, Rust, or similar systems languages Have experience with cloud infrastructure (GCP, AWS, or Azure), container orchestration (Kubernetes), and/or multi-cloud networking Take full ownership of your work—from design through deployment and operations Can navigate ambiguity and make sound technical decisions independently, and have ideally operated in 0 to 1 and more mature team or company settings Take a product-focused approach to platform work and care about building solutions that are robust, scalable, and easy to use Care about building systems that other engineers love to use Deadline to apply: None. Applications will be reviewed on a rolling basis. Location Preference: Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team. 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: $405,000 — $485,000 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: Almaty, Kazakhstan; Bishkek, Kyrgyzstan; Tbilisi, Georgia; Tashkent, Uzbekistan; Manila, Philippines; Cebu City, Philippines; Iloilo City, Philippines; Davao City, Philippines; Makati, Philippines; Quezon City, Philippines; Taguig, Philippines; Mirpur, Bangladesh; uttara, Bangladesh; Astana, Kazakhstan; Belgrade, Serbia; Batumi, Georgia; Sarajevo, Bosnia and Herzegovina; Skopje, North Macedonia Workplace: remote At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. TechBiz Global GmbH is currently in search of a highly motivated Junior Lead Generation Specialist to join our esteemed Sales department. The successful candidate will play a pivotal role in our team by meticulously identifying and evaluating potential leads to bolster our sales initiatives. Conduct thorough research to identify potential leads across diverse channels, including cold calling Qualify and assess leads against defined criteria to ensure high quality Collaborate closely with the sales team to develop and execute effective lead generation strategies Build, manage, and maintain an up-to-date lead database Provide regular, detailed reports on lead generation activities and performance Utilize tools such as Apollo, LinkedIn Sales Navigator, and other relevant platforms Receive comprehensive training and access to all necessary tools and resources Fluent in English Strong communication skills, with willingness to engage in cold calling Ability to work in a fast-paced environment Strong attention to detail Team player with a positive attitude No prior experience in Lead Generation required Comfortable working with European timezone(09.00-18.00 German time) Our Offer: Fixed package + bonuses An attractive working environment with room for your own ideas, flat hierarchies, and short communication channels. A team that warmly welcomes you and stands by your side. Opportunities for personal training and career development. Opportunity to work from anywhere on a remote basis!