Вакансии

Location: Athens; Limassol; Nicosia Workplace: hybrid The Role: We’re looking for a Data Architect to drive the design, evolution, and governance of data architecture across the organization. In this role, you’ll collaborate closely with multiple functional groups and technology leaders to translate business needs into scalable, well-structured data solutions.  You’ll provide best-practice guidance on data management, modeling, and architecture design, ensuring data platforms are robust, efficient, and aligned with strategic objectives.  This is an exciting opportunity to shape data-centric initiatives, influence enterprise-level decisions, and enable teams to leverage high-quality data in support of impactful business outcomes. The main responsibilities of the position include: Develop conceptual, logical, and physical data models, focusing on design (structure, semantics, constraints, and alignment to business meaning), including key physical design considerations such as indexing and partitioning Define and maintain reference and target data architectures (including standards and reusable patterns) across operational systems, event/streaming platforms, and analytical environments (data warehouse/lakehouse) Drive architectural decision-making and trade-offs (e.g., consistency, performance, scalability, cost, operability, security), and contribute to architecture documentation practices that capture and govern those decisions Support the implementation of the organizational data strategy, including database design standards, data warehouse architecture, standards and guidance, and analytics platform integration Assist with the deployment and extension of the Enterprise Data Catalogue Contribute to the creation and maintenance of architecture processes and documentation standards Partner closely with project teams as an embedded contributor, guiding schema design, physical design choices (e.g., indexing and partitioning), data access patterns, and query optimization best practices, supporting teams through design reviews and delivery Advise project teams on the end-to-end data product lifecycle, from platform selection through testing and implementation Govern changes to architectural artefacts and ensure systems conform to established data architecture guidelines Define data flows and integration patterns across applications and services, including operational systems, streams, and analytical platforms (batch and real-time), with clear ownership and information dissemination patterns Main requirements: BSc/MSc in Computer Science, Information Technology or related field. Minimum of 3 years of experience in data modelling, data engineering, database design, or data architecture roles. Strong expertise in conceptual, logical, and physical data modelling, with solid SQL skills to bring designs to life. Proficiency in Python for data-related work (e.g., automation, prototyping, analysis, validation, data quality checks, and tooling around data pipelines/integrations). Experience working with cloud-based data platforms and modern data warehouse or lakehouse architectures Good understanding of software development lifecycles, requirements analysis, and technical design best practices. A collaborative mindset, with the ability to build trusted relationships across business and technical teams. Exposure to data governance, metadata management, and data quality frameworks, with an appreciation for well-managed data. Confidence in advising on ETL/ELT patterns, data integration solutions, and data orchestration technologies. Experience in graph databases, vector databases/semantic search capabilities, feature stores, or related ML/AI data architectures would be considered a plus. A proactive, self-driven professional who thrives in agile environments and enjoys shaping scalable data solutions. Benefit from: Attractive remuneration package Private health insurance Corporate pension fund Intellectually stimulating work environment Continuous personal development and international training opportunities The Hiring Experience: What Awaits You Let’s Connect – Intro Chat with Talent Acquisition Deep Dive – First Interview with Your Future Team Bring It to Life – Role-Specific Take-Home Task Final Connection – Final Interview All applications will be treated with strict confidentiality!   By submitting this application, I confirm that I have read and agree to the terms of the Privacy and Data Protection Notice and the Confidentiality Undertaking.

Location: Caracas, Venezuela, Bolivarian Republic of; Texas City, United States; Astana, Kazakhstan; London, United Kingdom Eram Talent is seeking a highly motivated Media & Communications Specialist specializing in Upstream & Gas to join our team in Saudi Arabia. In this role, you will be responsible for developing and implementing communication strategies that effectively convey our company's activities, initiatives, and achievements in the upstream and gas sectors. The Media & Communications Specialist will work closely with technical teams and management to craft compelling narratives, create content for various media channels, and manage relationships with key stakeholders, including media representatives. This position is essential for enhancing our visibility and reputation within the industry. If selected, the work location would be onsite at Saudi Arabia. Responsibilities: Develop and execute communication strategies tailored to the upstream and gas sectors. Media watch – Monitor the media channels and extract important information related to Gas business Media Channel Coordinators – To develop a direct channel with the Upstream and Cooperate Media departments to identify opportunities to publish media content domestically and internationally. Writers – Develop a high-level speeches and media content Create high-quality content for press releases, articles, presentations, and digital platforms. Manage media relations and act as a spokesperson for the company when needed. Coordinate the dissemination of information about projects, initiatives, and achievements to relevant stakeholders. Monitor media coverage and industry trends to inform communication strategies. Support the development of internal communication materials to keep stakeholders informed. Organize events and participation in industry conferences to promote the company's initiatives. Collaborate with cross-functional teams to ensure consistent messaging across all communication channels. Requirements Bachelor's degree in Communications, Public Relations, Marketing, or a related field. Minimum of 7 years of relevant experience in media relations, communications, or public relations within the oil and gas industry, preferably in upstream or gas sectors. Strong understanding of the upstream and gas industries, including regulatory frameworks and market dynamics. Exceptional writing and editing skills, with the ability to communicate complex technical information clearly. Proven experience managing media relations and developing communication strategies. Strong interpersonal and networking skills to build relationships with media and industry stakeholders. Ability to work under pressure, manage multiple projects, and meet deadlines. Familiarity with digital communication platforms and social media management. Strong analytical skills to assess the effectiveness of communication efforts. Proficiency in both English and Arabic is preferred.

Location: Bengaluru, India; Al Khobar, Saudi Arabia; Dammam, Saudi Arabia Eram Talent, a leading talent acquisition company, is seeking a highly skilled Lead Master Data Management (MDM) Architect to join our team in Saudi Arabia. In this pivotal role, you will be responsible for defining and implementing robust MDM strategies and frameworks that ensure the quality, consistency, and accessibility of master data across various platforms and applications. The ideal candidate will possess extensive experience in master data management, data governance, and architecture. You will lead cross-functional teams in designing MDM solutions that align with business objectives while adhering to industry best practices. Additionally, you will work closely with stakeholders to understand their data needs and translate them into actionable strategies. If selected, the work location would be onsite at Saudi Arabia. Responsibilities Develop and maintain the Master Data Management strategy to meet business requirements and enhance data quality . Collaborate with business stakeholders, executives, and Technology departments to understand business requirements and translate them into Master Data Management architecture solutions. Lead the design and architecture of MDM solutions considering scalability, performance and integration with existing systems Define and enforce Master Data Management architectural standards, frameworks, and methodologies across the organization. Define data governance policies and standards to maintain the accuracy and reliability of master data. Provide expertise in data modelling, data profiling, data quality assessments and data models management Collaborate with Data Quality and MDM teams to provide architectural oversight, inputs on standards & mentorship Collaborate with stakeholders to understand data consumption patterns and optimize MDM solutions accordingly. Evaluate and recommend emerging technologies, tools, and platforms to enhance the company's MDM capabilities. Conduct the design, implementation, and maintenance of enterprise-wide Technology systems, ensuring scalability, reliability, and security and seek approval from the Master Data Quality Manager on the same. Conduct regular assessments and audits to ensure compliance with Technology architecture standards and identify areas for improvement. Drive the integration of new technologies and solutions, ensuring seamless interoperability with existing systems. Provide technical expertise and support while, conducting the planning and execution of Technology projects. Stay up-to-date with industry trends and advancements in MDM, proposing innovative solutions to enhance business operations. Requirements Bachelor's or Master’s degree in Computer Science, Information Systems, or a related field. Certified Data Privacy Solutions Engineer (CDPSE) preferred 7+ years of experience in data management focused on Master Data Management. Strong background in data governance, data quality management, and data integration. Proven experience with MDM tools such as Informatica MDM, Talend, or SAP MDG. Demonstrated ability to design and implement MDM frameworks and processes that drive data quality improvements. Excellent communication, leadership, and interpersonal skills, with the ability to work effectively with stakeholders at all levels. In-depth understanding of data architecture, data modeling, and related technologies. Strong analytical and problem-solving skills, with a focus on delivering actionable solutions. Experience in guiding and mentoring teams in a collaborative environment. Fluency in English; proficiency in Arabic is a plus.

Location: London, UK About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. Anthropic is at the forefront of AI research, dedicated to developing safe, ethical, and powerful artificial intelligence. Our mission is to ensure that transformative AI systems are aligned with human interests. We are seeking a Research Engineer to join our Pretraining team, responsible for developing the next generation of large language models. In this role, you will work at the intersection of cutting-edge research and practical engineering, contributing to the development of safe, steerable, and trustworthy AI systems. Key Responsibilities: Conduct research and implement solutions in areas such as model architecture, algorithms, data processing, and optimizer development Independently lead small research projects while collaborating with team members on larger initiatives Design, run, and analyze scientific experiments to advance our understanding of large language models Optimize and scale our training infrastructure to improve efficiency and reliability Develop and improve dev tooling to enhance team productivity Contribute to the entire stack, from low-level optimizations to high-level model design Qualifications: Advanced degree (MS or PhD) in Computer Science, Machine Learning, or a related field Strong software engineering skills with a proven track record of building complex systems Expertise in Python and experience with deep learning frameworks (PyTorch preferred) Familiarity with large-scale machine learning, particularly in the context of language models Ability to balance research goals with practical engineering constraints Strong problem-solving skills and a results-oriented mindset Excellent communication skills and ability to work in a collaborative environment Care about the societal impacts of your work Preferred Experience: Work on high-performance, large-scale ML systems Familiarity with GPUs, Kubernetes, and OS internals Experience with language modeling using transformer architectures Knowledge of reinforcement learning techniques Background in large-scale ETL processes You'll thrive in this role if you: Have significant software engineering experience Are results-oriented with a bias towards flexibility and impact Willingly take on tasks outside your job description to support the team Enjoy pair programming and collaborative work Are eager to learn more about machine learning research Are enthusiastic to work at an organization that functions as a single, cohesive team pursuing large-scale AI research projects Are working to align state of the art models with human values and preferences, understand and interpret deep neural networks, or develop new models to support these areas of research View research and engineering as two sides of the same coin, and seek to understand all aspects of our research program as well as possible, to maximize the impact of your insights Have ambitious goals for AI safety and general progress in the next few years, and you’re working to create the best outcomes over the long-term. Sample Projects: Optimizing the throughput of novel attention mechanisms Comparing compute efficiency of different Transformer variants Preparing large-scale datasets for efficient model consumption Scaling distributed training jobs to thousands of GPUs Designing fault tolerance strategies for our training infrastructure Creating interactive visualizations of model internals, such as attention patterns At Anthropic, we are committed to fostering a diverse and inclusive workplace. We strongly encourage applications from candidates of all backgrounds, including those from underrepresented groups in tech. If you're excited about pushing the boundaries of AI while prioritizing safety and ethics, we want to hear from you! The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £260,000 — £630,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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: Dhahran, Saudi Arabia; Bengaluru, India Eram Talent is seeking a highly skilled Communications Architect to join our team in Saudi Arabia. As a Communications Architect, you will be responsible for designing and implementing comprehensive communication solutions that meet the specific needs of our clients in the oil and energy sectors. Your expertise will guide the development of advanced communication infrastructures that enhance operational efficiency and support seamless connectivity. Your role will involve collaborating with various stakeholders to understand their requirements, developing architecture frameworks, and ensuring the effectiveness of communication systems across multiple projects. Responsibilities Design and develop scalable communication architectures in line with project requirements and industry standards. Lead enterprise communications architecture across data networks, transmission networks, and satellite communications. Produce target reference designs, standards, and roadmaps, and govern solution designs. Oversee the integration of various communication technologies, including VoIP, data networks, and satellite systems. Develop and maintain technical documentation for communication systems and architectures. Ensure compliance with security regulations and data protection standards. Conduct training sessions and workshops for team members on communication technology and architecture. Requirements Bachelor's degree in Telecommunications Engineering, Computer Science, or a related field. Minimum 15 years of experience in communication architecture or a related role. Proven experience in designing and implementing complex communication systems and infrastructures. Strong knowledge of networking protocols, VoIP technology, and telecommunications systems. Experience with project management methodologies and tools. Excellent problem-solving skills and ability to think critically under pressure. Strong communication skills, both written and verbal, with the ability to convey complex technical concepts to non-technical stakeholders. Fluent in English; proficiency in Arabic is an asset.

Location: Dhahran, Saudi Arabia; Bengaluru, India Eram Talent, a leading talent acquisition company, is on the lookout for a highly skilled Data & AI Architect to join our team in Saudi Arabia. The Data & AI Architect will be instrumental in designing and implementing data-driven solutions that leverage advanced analytics and artificial intelligence to empower business decisions across various projects in the region. This role requires a deep understanding of data architecture, data modeling, and AI/ML technologies. The architect will collaborate with cross-functional teams to ensure that the data architecture is robust, scalable, and aligned with the business strategies. This position offers an exciting opportunity to innovate and shape the future of data utilization within organizations. Responsibilities Own enterprise data architecture and extend it to AI and MLOps capabilities to enable trusted analytics and scalable AI delivery. Develop and implement a comprehensive data architecture strategy that supports business goals and AI initiatives. Design data models, database structures, and data flow processes to ensure data integrity, availability, and security. Design and oversee the implementation of advanced analytics solutions, including machine learning models and algorithms. Collaborate with data engineering and data science teams to ensure that data pipelines are efficient and aligned with AI/ML requirements. Establish best practices for data governance, data quality, and data lifecycle management. Support the selection and implementation of data management tools and technologies. Engage with stakeholders to understand their data needs and ensure that data solutions deliver maximum business value. Monitor trends in the data and AI landscape, refining strategies as necessary to drive continuous improvement and innovation. Requirements Education: Bachelor's or Master's degree in Computer Science, Data Science, Information Technology, or a related field. Experience: 15+ years of experience in data architecture, data engineering, or AI/ML roles. Proven experience in designing and implementing data models and architecture in large-scale data environments. Experience with AI and machine learning frameworks, libraries, and tools. Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and big data technologies (e.g., Hadoop, Spark). Skills: Strong knowledge of database systems (SQL and NoSQL) and data warehousing concepts. Excellent analytical and problem-solving abilities. Strong communication skills, with the ability to convey complex data concepts to non-technical stakeholders. Ability to work collaboratively in a team-oriented environment.

Location: Dhahran, Saudi Arabia; Bengaluru, India Security Architecture Development: Design and implement a comprehensive cybersecurity architecture framework that aligns with business objectives and mitigates risks. Create security guidelines and best practices to ensure the confidentiality, integrity, and availability of organizational data. Risk Assessment and Management: Conduct thorough risk assessments to identify vulnerabilities and potential threats to the organization's information systems. Develop strategies to manage and mitigate identified risks, ensuring compliance with industry standards and regulations. Security Solutions Implementation: Oversee the deployment of security solutions and technologies, ensuring they are effectively integrated into existing systems. Collaborate with IT teams to ensure the security architecture is effectively applied across projects and initiatives. Incident Response Planning: Develop and maintain incident response plans to address potential cybersecurity incidents and breaches. Lead investigations of security incidents, ensuring lessons learned are documented and used to improve security posture. Training and Awareness: Provide training and awareness programs for staff to ensure they understand security policies and best practices. Promote a culture of cybersecurity awareness within the organization. Requirements 10+ years of experience in cybersecurity, with a focus on architecture and risk management. Proven experience in designing and implementing cybersecurity frameworks for complex environments. Strong knowledge of security standards and regulations such as ISO 27001, NIST, and GDPR. Experience with security technologies including firewalls, intrusion detection systems, and encryption technologies. Certification in relevant cybersecurity frameworks or architectures (e.g., CISSP, CISM, TOGAF). Excellent analytical and problem-solving skills. Effective communication skills to interact with technical and non-technical stakeholders. Education: Bachelor's degree in Computer Science, Information Technology, or a related field. Certifications: Preferred certifications include CISSP, CISM, or similar relevant cybersecurity certifications.

Location: Dhahran, Saudi Arabia; Bengaluru, India Eram Talent is looking for a talented Business Architect to join our dynamic team in Saudi Arabia. As a Business Architect, you will play a critical role in bridging business strategy and technology solutions to maximize the achievement of business objectives. You will work collaboratively with stakeholders across the organization to analyze processes, systems, and data, ensuring alignment between business needs and technology capabilities. Your role will involve defining business architecture strategies, creating roadmaps, and documenting business processes to enhance operational efficiency and enable business transformation initiatives. We are seeking a strategic thinker with a solid understanding of both business and technology landscapes, capable of driving innovation and guiding organizations through change. This position requires a strong focus on stakeholder engagement and communication, as you will liaise with cross-functional teams to deliver business value effectively. If selected, the job location would be onsite in Saudi Arabia. Job Description Translate business strategy, operating models and processes into business architecture artifacts that guide enterprise initiatives and technology alignment. Develop and maintain business architecture frameworks that support long-term business goals and objectives. Collaborate with business units to identify their needs and develop solutions that align with the overall strategy. Analyze and document current business processes to identify opportunities for improvement. Facilitate workshops and meetings with stakeholders to gather requirements and drive consensus around business architecture initiatives. Work closely with IT teams to ensure that technology solutions align with and support business strategies. Monitor industry trends and best practices to ensure that business architecture remains relevant and effective. Requirements Bachelor's degree in Business Administration, Information Technology, or a related field. Minimum of 12 years of experience in business architecture, business analysis, or a related role. Strong understanding of business process modeling and improvement techniques. Proven experience in stakeholder management and ability to communicate complex ideas clearly. Knowledge of enterprise architecture frameworks and methodologies (e.g., TOGAF, Zachman) is an advantage. Experience working with cross-functional teams and driving collaboration. Ability to think strategically and practically to solve complex business challenges. Fluency in English; knowledge of Arabic is an added advantage.

Location: San Francisco, CA Workplace: OnSite ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. About the Role: We are looking for an GTM Engineer where you won’t just be using our tools—you’ll be the "First Customer," building the AI-native systems that power our technical support, onboarding, and customer success engines. You will own the technical roadmap for how LangChain supports its users. Your goal is to drive massive case deflection and a premium onboarding experience by building autonomous agents that solve complex technical problems before a human ever needs to step in. This is a role for a builder-operator who can identify a friction point in the customer journey and ship a production-grade agentic solution to fix it. YOU WILL: - Architect Customer Agents: Design and deploy production-grade agents (using LangGraph and LangSmith) that handle technical support queries, troubleshoot integrations, and guide users through complex onboarding flows. - Drive Case Deflection: Analyze customer friction points and build self-service AI systems that significantly reduce support volume while improving the quality of the customer experience. - Own the Domain: Act as the product owner and the technical muscle proactively identifying opportunities for improvement, propose architectures, and own the full lifecycle of the systems you build. - Dogfood the Stack: Be a key member of the feedback loop for our product team. As you build complex systems for our customers, you’ll identify gaps in our frameworks and contribute back to the LangChain and LangGraph open-source ecosystem. - Build Onboarding Workflows: Develop "AI-native onboarding" experiences that help enterprise customers move from prototypes to production faster by automating documentation retrieval and code generation. WHAT WE ARE LOOKING FOR: - AI-Native Developer: You have a deep understanding of the LLM stack: prompting, retrieval (RAG), cognitive architectures, and agentic loops. You have likely already built with LangChain or LangGraph. - Engineering Foundation: You are a strong software engineer (typically 3+ years) with at least 1 year of experience specifically shipping LLM systems in production. - Self-Directed "Founder" Mentality: You don't need a ticket to tell you what to fix. You are comfortable navigating ambiguity, identifying high-impact problems, and driving them to completion autonomously. - Full-Stack Capability: Strong coding skills in Python or TypeScript (ideally both) and the ability to build end-to-end applications. - Customer-Centric: You enjoy the intersection of high-level engineering and direct customer impact. You can translate a customer's technical pain point into a scalable system architecture. Nice to Haves: - Expertise with LangSmith for evaluation and monitoring. - Experience building or maintaining open-source projects. - A background in technical consulting, solutions engineering, or high-growth GTM teams. Compensation: - We offer competitive compensation that includes base salary, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance. - Salary: $160K - $180K Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: Riyadh, Saudi Arabia; Cairo, Egypt; Dubai, United Arab Emirates Müller's Solutions is seeking an experienced Senior SAS & Credit Risk Systems Administrator to join our innovative team. In this role, you will be pivotal in managing and optimizing the SAS environment and overseeing credit risk systems, ensuring robust analytics and reporting capabilities that drive strategic decision-making. As a Senior Administrator, you will work closely with data analysts and risk management teams to support and enhance SAS applications, ensuring high system availability and optimized performance. Your expertise will help the organization navigate complex credit risk assessments and reporting requirements effectively. Key Responsibilities: Administer and maintain SAS software and credit risk systems, ensuring optimal functionality and performance. Oversee installation, updates, and configuration of SAS applications and related infrastructure. Provide technical support and troubleshoot issues related to SAS and credit risk systems. Collaborate with business users and data analysts to gather requirements and deliver effective SAS solutions for credit risk analytics. Monitor system performance and implement enhancements to meet evolving business needs. Develop and maintain documentation for systems administration procedures, processes, and standards. Ensure compliance with data governance policies, industry regulations, and best practices. Requirements 5+ years of experience in SAS administration and credit risk systems management. Strong understanding of credit risk frameworks, analytics, and reporting processes. In-depth knowledge of managing and operating SAS Analytics and Moody’s CreditLens systems. Minimum of 5 years of experience in SAS development and automation. Ability to read logs and analyze performance to proactively identify issues. Experience in report preparation . Familiarity with best practices in SAS Analytics and Moody’s CreditLens, including applying updates without impacting current operations. Must be fluent in Arabic . Hands-on experience with SAS software installation, configuration, and maintenance. Proficiency in scripting and automation to streamline SAS processes. Excellent problem-solving skills and attention to detail. Strong communication and interpersonal skills to collaborate effectively with cross-functional teams. Relevant certifications related to SAS or risk management are a plus. Personal Skills: Strong analytical and organizational skills to understand business requirements and implement appropriate solutions. Effective communication skills with technical teams and end users. Training skills to guide users in efficiently utilizing different modules. Educational Qualifications: Bachelor’s degree in Computer Science , Software Engineering , or any related field. Specialized certification in developing or managing SAS Analytics or Moody’s CreditLens platform. Benefits Why Join Us: Opportunity to work with a talented and passionate team. Competitive salary and benefits package. Exciting projects and innovative work environment.

Location: Riyadh, Saudi Arabia; Cairo, Egypt; Amman, Jordan; Casablanca, Morocco; Algiers, Algeria Müller’s Solutions is seeking a highly skilled ARIS Enterprise Administrator to join our team. This position requires expertise in managing and optimizing the ARIS platform, ensuring seamless functionality for our business processes. The ideal candidate will be a proactive problem solver with excellent communication skills and a strong understanding of enterprise architecture and modeling. The successful candidate will also possess fluency in Arabic, contributing to effective communication within our diverse team and supporting our client base. Key Responsibilities: Administer, configure, and optimize the ARIS platform to support business process management and enterprise architecture. Collaborate with stakeholders to gather requirements and enhance ARIS functionalities to align with business needs. Manage ARIS Enterprise modules including: 1- Enterprise Admin 2-Enterprise Designer 3-Enterprise Viewer 4-PRO Pack Enterprise 5-Extension: Simulation O 6-versee ARIS Connect administration and configuration. Develop and maintain documentation related to ARIS configuration, processes, and best practices. Conduct training sessions and provide support for ARIS users to ensure efficient utilization of the platform. Monitor system performance, troubleshoot issues, and implement solutions to enhance system efficiency. Stay updated on ARIS developments and best practices, recommending improvements and upgrades as necessary. Requirements Requirements: Bachelor's degree in Computer Science, Information Technology, or a related field. 3+ years of experience as an ARIS Administrator or in a similar role. Proficient in ARIS platform functionalities and configurations. Fluency in Arabic and English, both written and verbal. Strong problem-solving skills with the ability to troubleshoot and resolve issues effectively. Excellent communication and interpersonal skills to collaborate with cross-functional teams. Preferred Qualifications: Experience with business process analysis and modeling. ARIS certification or other relevant certifications. Familiarity with enterprise architecture frameworks. Understanding of ITIL, BPM, and project management methodologies. 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: 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 Team The Security Engineering team protects Anthropic's AI systems and maintains the trust of our users and society. We define the authentication architecture for our training infrastructure, design the cryptographic foundations that protect model weights and training data, and drive the developer security program that shapes how engineers build and ship software. The team works across several areas that collaborate closely: identity and secrets management, developer security and supply chain, infrastructure security, and secure frameworks. You will own one or two of these areas and contribute to others, with your focus shaped by your strengths and the team's priorities. This is largely greenfield work, and you will help define the architecture. About the role: Scope, design, and build complex security systems end to end, maintaining them through production and driving through ambiguous technical challenges with minimal oversight Identify systematic risks through threat modeling and risk assessment, then build the controls and infrastructure that address them Mentor engineers across the security team and broader engineering organization, contribute to hiring, and grow security engineering culture at Anthropic Enable other teams to build their own security solutions by providing design pattern guidance and expanding security ownership beyond the security team Developer security and supply chain Build and advance our developer security program by embedding security practices into the software development lifecycle and developer workflows Harden CI/CD pipelines against supply chain attacks through isolated build environments, signed attestations, dependency verification, and automated policy enforcement Identity and secrets management Architect systems that protect sensitive assets including model weights, customer data, and training datasets Build and operate credential issuance, rotation, and workload authentication across our multi-cloud environments Infrastructure security Implement and maintain cloud security controls including IAM, network segmentation, VPC architecture, and encryption across our multi-cloud and on-prem environments Contribute to cluster security controls including RBAC policies, namespace isolation, workload identity, and pod security Contribute to continuous cloud security posture management using infrastructure-as-code scanning, misconfiguration detection, and automated remediation Secure frameworks Build critical security foundations including cryptographic frameworks, mTLS infrastructure, secure serialization, and authorization systems, designed to prevent entire classes of vulnerabilities and empower engineering teams to work securely without becoming security experts themselves Partner with product, research, infrastructure, and other security teams to ensure frameworks integrate smoothly with lower-layer security controls You may be a good fit if you have: At least 8 years of software engineering experience with deep security expertise, including leading complex security initiatives independently Bachelor's degree in Computer Science or equivalent industry experience Strong programming skills in Python or at least one systems language such as Go, Rust, or C/C++ Deep understanding of identity systems, cryptographic primitives, and secrets management Working knowledge of Kubernetes security primitives including RBAC, namespaces, network policies, and service accounts Experience leading cross-functional security initiatives and navigating complex organizational dynamics Outstanding communication skills, translating technical concepts effectively across all levels of the organization A track record of bringing clarity and ownership to ambiguous technical problems and driving them to resolution Low ego and high empathy, with a history of growing the engineers around you and supporting diverse, inclusive teams Passion for AI safety and the role security engineering plays in building trustworthy AI systems Strong candidates may also have: Designed or operated identity and secrets management systems for large-scale AI or cloud infrastructure Built security frameworks or libraries adopted across an engineering organization Led a developer security program including supply chain security, secure build infrastructure, and SDLC integrations Built or secured CI infrastructure using Nix, Bazel, or Kubernetes-based deploy systems, with depth in toolchain issues, CI/CD pipelines, and developer workflow optimization Implemented machine identity or workload authentication systems using SPIFFE/SPIRE, mTLS, or equivalent Understanding of Linux systems internals including namespaces, cgroups, and seccomp, and how these underpin container and workload isolation Contributed to the security architecture of multi-cloud environments including network segmentation, data protection, and access governance Experience with network security controls including admission controllers, CNI-level policy, service mesh security, and east-west traffic enforcement Experience building runtime security monitoring using eBPF or kernel security policies Deadline to apply: None, applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $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. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | 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 Data Infrastructure designs, operates, and scales secure, privacy-respecting systems that power data-driven decisions across Anthropic. Our mission is to provide data processing, storage, and access that are trusted, fast, and easy to use. We're looking for infrastructure engineers who thrive working at the intersection of data systems, security, and scalability. You'll tackle diverse challenges ranging from building financial reporting pipelines to architecting access control systems to ensuring cloud storage reliability. This role offers the opportunity to work directly with data scientists, analysts, and business stakeholders while diving deep into cloud infrastructure primitives. Responsibilities: Within Data Infra, you may be matched to critical business areas including: Data Governance & Access Control: Design and implement robust access control systems ensuring only authorized users can access sensitive data. Build infrastructure for permission management, audit logging, and compliance requirements. Work on IAM policies, ACLs, and security controls that scale across thousands of users and systems. Financial Data Infrastructure: Build and maintain data pipelines and warehouses powering business-critical reporting. Ensure data integrity, accuracy, and availability for complex financial systems, including third party revenue ingestion pipelines; manage the external relationships as needed to drive upstream dependencies. Own the reliability of systems processing revenue, usage, and business metrics. Cloud Storage & Reliability: Architect disaster recovery, backup, and replication systems for petabyte-scale data. Ensure high availability and durability of data stored in cloud object storage (GCS, S3). Build systems that protect against data loss and enable rapid recovery. Data Platform & Tooling: Scale data processing infrastructure using technologies like BigQuery, BigTable, Airflow, dbt, and Spark. Optimize query performance, manage costs, and enable self-service analytics across the organization. You might be a good fit if you: Have 10+ years (not including internships or co-ops) of experience in a Software Engineer role, building data infrastructure, storage systems, or related distributed systems Have 3+ years (not including internships or co-ops) of experience leading large scale, complex projects or teams as an engineer or tech lead Can set technical direction for a team, not just execute within it Have deep experience with at least one of: Strong proficiency in programming languages like Python, Go, Java, or similar Experience with infrastructure-as-code (Terraform, Pulumi) and cloud platforms (GCP, AWS) Can navigate complex technical tradeoffs between performance, cost, security, and maintainability Have excellent collaboration skills - you work well with both technical and non-technical stakeholders Strong candidates may also have: Experience with security and compliance requirements (ITGC, GDPR, financial controls) Background in data warehousing, ETL/ELT pipelines, or analytics infrastructure Experience with Kubernetes, containerization, and cloud-native architectures Track record of improving data reliability, availability, or cost efficiency at scale Knowledge of column-oriented databases, OLAP systems, or big data processing frameworks Experience working in fintech, financial services, or highly regulated environments Security engineering background with focus on data protection and access controls Technologies We Use: Data: BigQuery, BigTable, Airflow, Cloud Composer, dbt, Spark, Segment, Fivetran Storage: GCS, S3 Infrastructure: Terraform, Kubernetes, GCP, AWS Languages: Python, Go, SQL Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $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. 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 Infrastructure organization is foundational to our mission of developing AI systems that are reliable, interpretable, and steerable. The systems we build determine how quickly we can train new models, how reliably we can run safety experiments, and how effectively we can scale Claude to millions of users — demonstrating that safe, reliable infrastructure and frontier capabilities can go hand in hand. Developer Productivity owns the end-to-end experience of how engineers and researchers at Anthropic develop, build, test, and ship code at scale — from the source control and language ecosystems that underpin our monorepo, to the build and CI infrastructure that keeps thousands of daily builds running reliably across multiple cloud providers, to the developer acceleration tooling that deeply integrates Claude into engineering workflows. Team Matching: Team matching is determined after the interview process based on interview performance, interests, and business priorities. Please note we may also consider you for different Infrastructure teams. Responsibilities: Own the technical strategy and roadmap for your area, translating team-level goals into concrete execution plans Define infrastructure architecture, ensuring the hardest problems get solved — whether by you directly or by working through others Design and build scalable, reliable distributed infrastructure and shared libraries that support high-volume workloads across all engineering teams Own and evolve build environments, package management, and dependency systems to enable fast, reproducible builds Define and implement language ecosystem standards, tooling, and frameworks that drive developer productivity across research and production workloads You may be a good fit if you: Have deep experience with build systems, CI/CD pipelines, and/or developer tooling in a large monorepo environment Have strong proficiency in Python, Rust and/or Go Are obsessed with developer productivity and reducing friction in the software development lifecycle Have experience with container orchestration and infrastructure at scale Have excellent communication skills and enjoy supporting internal partners to improve their development experience Are excited about designing foundational systems and are comfortable working independently on ambiguous, high-impact technical challenges Strong candidates may have: 15+ years (not including internships or co-ops) of experience in a Software Engineer role, building and operating large-scale developer infrastructure 3+ years (not including internships or co-ops) of experience leading large scale complex projects or teams as a tech lead Experience with CI orchestration tools (Buildkite, Jenkins, GitHub Actions, or similar) and merge queue management at scale Experience building or operating remote build execution systems (Bazel Remote Execution API, BuildBarn, BuildBuddy, or similar) Experience with Nix/NixOS/Docker and managing large image / package sets at scale Experience building CLI tools, developer-facing services, and GitHub API and automation workflows Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $625,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Mexico You Are passionate about technology, wake up every morning to experiment, learn and develop new solutions! About Us At DBSync we provide opportunities to use technology that creates innovative and next generation data integration products which helps our employees to cultivate their creativity and sense of belonging. DBSync is a leading provider for data integration and Data warehousing services for both cloud/SAAS-based-on-demand applications. We were incubated by Salesforce.com (as a part of Avankia), before getting spunned off as a separate company. DBSync provides data integration as a SAAS-based, Standalone or hosted integration at a competitive price with a plethora of benefits for business users. Our main motto is to provide a strong foundation for businesses in solving complex problems and automating their workflows while acting as a pillar of support for all their data integrations needs. At DBSync we encourage innovation and creativity and our team is diverse, comprising a nice mix of cultural blends. We are a family where each talent is recognised and honed for the best of the individual and the company as a whole. We maintain a very professional, learn and excel vision with a hint of a start-up-like environment making each individual feel important and responsible with an equal opportunity to grow to the sky’s limit! If you have a spirit of enthusiasm to grow beyond horizons, a determination to work hard, confidence to achieve success and influence future visions and products and be a successful part of the next gen trend,DBSync is the place for you! Our Value System 1. We genuinely care 2. We do not waste time on manual or mundane task 3. We have a fun environment 4. We own it 5. We are experts on what we do 6. We win together DBSync has been: We have been rated 4.7 / 5 on G2. We have got around 125 reviews in 2023. Based on the reviews G2 has awarded DBSync following badges: -Best Relationship- Winter 2024 -Leader Americas Winter 2024 -Best Results - Winter 2024 -Best Usability - Winter 2024 About the Role We're looking for a Solutions Sales Engineer to join DBSync. This is a hybrid role that sits between sales and delivery: you'll support the sales cycle through technical discovery, demos, and proof-of-concepts, and you'll work alongside our services team to scope and stand up integration solutions for Mid-Market and Enterprise clients. DBSync is an iPaaS company. Our value is reliable, maintainable integration between CRMs, accounting systems, and ERPs. The ideal candidate pairs strong integration and data fundamentals with the customer-facing skill to translate technical solutions into business value and uses AI and analytics to make those solutions smarter, not as a substitute for solid integration design. Roles and Responsibilities: Solution Design & Scoping: Work with sales and customers to understand source and target systems, data volumes, and sync requirements; design integration solutions and scope the work needed to deliver them. Technical Demos & POCs: Prepare and deliver demos, proof-of-concepts, and trials of DBSync integrations, showing how data flows and syncs across CRM, accounting, and ERP systems. Integration Delivery Support: Partner with the services team to build, configure, and validate integration workflows — field mapping, transformation logic, sync triggers, scheduling, and error handling. Data & Systems Expertise: Apply working knowledge of SQL, APIs, and the object models of common CRM and accounting/ERP systems to design integrations that hold up in production. Customer Engagement: Support clients through onboarding and adoption, troubleshoot integration issues, and recommend improvements. AI & Analytics Enablement: Where it adds value, layer AI-driven features (automation, predictive insight, conversational interfaces) onto integration solutions; identify where analytics can surface ROI for the customer. Feedback & Strategy: Gather client feedback, identify common patterns, and feed them back into product, templates, and sales positioning. Governance & Compliance: Ensure solutions meet data governance, security, and compliance standards. Enablement: Train sales teams on integration capabilities and how to position them; document solutions for repeatable delivery. Cross-functional Collaboration: Act as the bridge between customers, sales, engineering, product, and customer success from concept through operational delivery.s.. Skills and Qualifications: Required: Bachelor's degree in Engineering, Computer Science, Business, or a related field — or equivalent experience. 3+ years in technical sales, solutions/sales engineering, integration consulting, data management, or a related technical-customer-facing role. Hands-on knowledge of CRM systems (Salesforce, Microsoft Dynamics, HubSpot) and accounting/ERP systems (QuickBooks Online, QuickBooks Desktop, Microsoft Dynamics 365 Business Central, NetSuite, or Xero). Solid grasp of integration concepts: APIs (REST/SOAP), data mapping and transformation, sync logic, scheduling, and error handling. Proficiency with SQL and comfort working with APIs and tools like Postman. Excellent communication and customer-facing skills, with the ability to translate technical concepts into business value for non-technical stakeholders. Strong problem-solving, teamwork, and collaboration abilities. Fluency in English. Nice to Have: Experience with iPaaS or middleware platforms (DBSync, MuleSoft, Boomi, Workato, Celigo, etc.). Familiarity with AI tools and frameworks (LLMs, chatbots, predictive analytics, automation platforms) and how to apply them to integration and data workflows. Experience with BI/analytics tools (Power BI, Tableau). Scripting or automation experience (e.g., Python). Additional languages beyond English. Certifications in data analytics, AI/ML, or relevant CRM/ERP platforms. Work Shift: U.S. Shift (8:00 AM CST to 5:00 PM CST) Location: Mexico (Remote) For more information about DBSync, visit https://www.mydbsync.com Video: https://www.youtube.com/playlist?list=PLJzycdoERLoekPWNkXEsuih807TQAEnnB Requirements Benefits

Location: San Francisco, CA Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. WHAT YOU'LL DO - Own independent audits and regulatory programs including ISO 42001, PCI DSS, NIST 800-53, FedRAMP, HIPAA, and related frameworks. - Drive scope definition, readiness assessments, auditor engagement, remediation planning, and executive level reporting. - Develop a strong working understanding of Sierra’s Conversational AI Platform, model providers, and cloud architecture. Partner with Platform and Agent Engineering to design and operationalize controls across multi cloud environments, infrastructure, inference and data platforms. - Build a centralized and evolving security controls library mapped to compliance, regulatory and customer requirements. Continuously assess control effectiveness, identify gaps, prioritize risk, and drive remediation that strengthens Sierra’s security and compliance posture. - Define and enforce security baselines for cloud infrastructure, containerized workloads, Kubernetes, identity, encryption, logging, and network security controls. Partner with engineering teams to integrate security requirements into configuration and change management. - Design and operate automated compliance workflows using AI, infrastructure as code, and security tooling to reduce manual effort, improve control assurance, and scale with platform evolution. WHO YOU’LL WORK WITH You will act as a strategic partner to Platform, Product, Agent Development, Legal, and GTM, ensuring security and compliance requirements are embedded into architecture decisions, product roadmaps, and go to market execution while supporting product velocity and technical complexity. WHAT YOU’LL BRING - 8+ years of experience in security compliance or GRC or security adjacent roles within fast growing technology companies. - Deep expertise in security compliance frameworks including ISO 42001, PCI DSS, NIST 800-53, FedRAMP, and similar regulatory environments. - A systems oriented and engineering focused GRC mindset, with the ability to reason about cloud architecture, data flows, and control effectiveness alongside engineers. - Experience owning complex audits and driving risk based remediation across distributed teams. - Hands-on experience with multi-cloud infrastructure (AWS, Azure, GCP). - Strong experience implementing and automating security controls across cloud infrastructure, configuration management, container security, Kubernetes, encryption, identity, and authentication systems. - Ability to clearly communicate compliance requirements internally to engineering teams and externally to customers in a technically credible way. - Relevant certifications such as CISSP, CISA, PCI ISA, ISO 27001 Lead Auditor, or equivalent experience. EVEN BETTER... - Experience supporting AI platforms, fintech, healthcare, or other highly regulated environments. - Familiarity with global regulatory environments including GDPR, DORA, the EU AI Act, and emerging security and AI governance requirements across APAC regions. - Experience supporting public sector or FedRAMP aligned environments. WHY JOIN US? You will operate at the center of AI systems, cloud infrastructure, and global compliance, shaping how security controls are designed and scaled for modern AI platforms. This role offers high ownership, deep technical partnership with engineering, and the opportunity to define what strong GRC looks like at Sierra. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized  - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

Location: Zürich, CH About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's production models undergo sophisticated post-training processes to enhance their capabilities, alignment, and safety. As a Research Engineer on our Post-Training team, you'll train our base models through the complete post-training stack to deliver the production Claude models that users interact with. You'll work at the intersection of cutting-edge research and production engineering, implementing, scaling, and improving post-training techniques like Constitutional AI, RLHF, and other alignment methodologies. Your work will directly impact the quality, safety, and capabilities of our production models. Note: For this role, we conduct all interviews in Python. This role may require responding to incidents on short-notice, including on weekends. Responsibilities: Implement and optimize post-training techniques at scale on frontier models Conduct research to develop and optimize post-training recipes that directly improve production model quality Design, build, and run robust, efficient pipelines for model fine-tuning and evaluation Develop tools to measure and improve model performance across various dimensions Collaborate with research teams to translate emerging techniques into production-ready implementations Debug complex issues in training pipelines and model behavior Help establish best practices for reliable, reproducible model post-training You may be a good fit if you: Thrive in controlled chaos and are energised, rather than overwhelmed, when juggling multiple urgent priorities Adapt quickly to changing priorities Maintain clarity when debugging complex, time-sensitive issues Have strong software engineering skills with experience building complex ML systems Are comfortable working with large-scale distributed systems and high-performance computing Have experience with training, fine-tuning, or evaluating large language models Can balance research exploration with engineering rigor and operational reliability Are adept at analyzing and debugging model training processes Enjoy collaborating across research and engineering disciplines Can navigate ambiguity and make progress in fast-moving research environments Strong candidates may also: Have experience with LLMs Have a keen interest in AI safety and responsible deployment We welcome candidates at various experience levels, with a preference for senior engineers who have hands-on experience with frontier AI systems. However, proficiency in Python, deep learning frameworks, and distributed computing is required for this role. Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Lagos, Nigeria Role Summary Renmoney is seeking a strategic, innovative, and experienced Product Manager responsible for the development, management, and strategic positioning of wealth management and private banking products, ensuring tailored solutions that grow assets under management, drive deposit mobilization, and meet clients' sophisticated needs. The Product Manager balances client-centric innovation with compliance, profitability, and competitive differentiation, supporting the bank’s growth agenda in premium and retail segments.​ Key Responsibilities Design, launch, and manage wealth management and private banking products including fixed deposits, bonds, commercial papers, and high-value savings accounts, tailored to individuals and SMEs.​ Conduct market research, assess customer needs, and analyze competitor offerings to inform product strategy and pipeline.​ Monitor product performance metrics (growth, adoption, profitability, cost of funds), regularly reviewing strategy to ensure AUM and revenue targets are achieved.​ Collaborate with digital, compliance, operations, and sales teams to ensure products are secure, scalable, and regulatory compliant.​ Support relationship managers and sales teams with training, tools, and product information, enabling them to drive growth and cross-sell across the bank's premium client base.​ Develop product roadmaps, prepare business cases, and manage regulatory submissions and approvals for new products and enhancements.​ Drive customer engagement initiatives, ensuring superior client experience and retention in private banking channels.​ Lead quarterly product reviews, ensuring internal process alignment and continuous improvement around client satisfaction and portfolio profitability.​ Requirements Bachelor’s degree (Business, Finance, Economics, or allied disciplines); professional certifications in wealth management/financial planning are advantageous.​ Minimum of 3–5 years’ experience in product development or relationship management, ideally in wealth/private banking or financial services within the Nigerian.​ Strong grasp of financial market trends, regulatory frameworks, and wealth management instruments relevant to microfinance and premium banking.​ Excellent analytical, communication, and stakeholder management skills. Proficiency in digital product analytics/tools is a plus.​ Demonstrated ability to deliver client-focused solutions and grow profitable product portfolios.​