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Location: Hybrid - San Francisco, New York City, Austin About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role As a Solutions Architect on the Field Engineering team, you'll be the trusted technical advisor to enterprise customers across pre-sales and post-sales, for teams running AI and web workloads on Vercel. You'll qualify technical fit, design future-state architectures, and run evaluations and proofs of concept before the deal, then guide adoption as lead architect after it, bringing in Professional Services, Developer Success, Product, and Engineering when customers need them. This is a hybrid role based in Austin, New York City, or San Francisco, with three days a week in the office. What you'll do Lead technical discovery with Sales, qualify use cases, and design target architectures for AI agents and web applications on Vercel Own proofs of concept (POCs) and pilots end to end: set success criteria, guide implementation, and document outcomes for executive buyers Build and deliver tailored demos, technical presentations, and workshops for developer and executive audiences Act as lead architect post-sale for strategic accounts, guiding onboarding, reference implementations, and migrations, and tuning performance with Core Web Vitals and observability data Run customer security, compliance, and architecture reviews, and feed recurring field gaps back to Product and Engineering What you need 5+ years of experience in a customer-facing technical role such as solutions architect, sales engineer, or platform architect, working with web or cloud platforms Hands-on JavaScript and TypeScript experience, including reviewing production application code built with Next.js, React, or another modern framework Designed enterprise architectures covering web performance, caching, networking, and security on AWS, Microsoft Azure, or Google Cloud Platform (GCP) Ran technical evaluations or POCs on enterprise deals with both executive and developer stakeholders Bonus if you Built and shipped an AI-powered application or agent, for example with the AI SDK Led a large-scale migration to a cloud-native or composable architecture (headless CMS, commerce, identity) Supported customer security reviews against SOC 2, PCI DSS, or HIPAA Benefits & Compensation: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA On Target Earnings pay range for this role is $190,000 - $340,000. Actual OTE will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. #LI-DNI Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

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: 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: Home Based - Americas Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder-led, profitable, and growing. We are hiring for our Cloud Alliances Business Development Lead to coordinate our ‘go-to-market’ with tier 1 Cloud Partners. We develop joint product roadmaps, drive delivery, and formulate go-to-market plans, content and processes, enabling differentiated offerings and robust product life-cycle support anchored to best-in-class Canonical products. This role supports the interaction of Canonical’s sales, marketing and alliances teams with counterparts at the cloud to jointly service customers and prospects. This role is responsible for quarterly and yearly public cloud derived revenue budget forecasts. The successful candidate is someone who is passionate about tech and driving revenue growth through collaboration. If you are data-driven and skilled at navigating complex new technical challenges, learn quickly, and ready to architect strategies across global teams, this challenging role is for you. Location: This role will be based remotely in the Americas region. The role entails Collaborating with product, engineering, alliance and marketing teams at a cloud partner to align on open-source strategies. Capturing partner requirements, evaluating gaps, and identifying Canonical opportunities. Coordinating with marketing and product teams on messaging, content creation, and launch plans. Creating partner- and customer-facing materials like reference architectures, joint blueprints, webinars, presentations, videos, and white papers. Driving Ubuntu adoption within targeted alliance accounts, advocating its benefits to stakeholders and working with partners on enablement training for their development, delivery, support and commercial teams. Influencing Cloud customers to build with Canonical technology. Up to 25% travel, including internationally, for internal conferences and to drive partnerships in person. What we are looking for in you Exceptional academic track record from both high school and university or a compelling narrative about your alternative chosen path. Bachelor's degree in science, technology and/or engineering. Experience in software development and system architecture. Customer-facing experience in software engineering, product management, business development, technology strategy or similar functions. Excellent communication skills across all levels of stakeholders - individual contributors to the C-suite; ability to grasp complex material and synthesize key points. Ability to think and work at both strategic and tactical levels. Disciplined and self motivated for a remote-first workplace environment. Nice-to-have skills and experience Experience with open source software and open source business models. Team leadership, product management or program management experience. Understanding of marketing and go-to-market strategy. Sector-specific experience in finance, telecommunications, automotive, or public sectors. Working knowledge of independent hardware and software vendor go-to-market motions. Post-graduate degree in science, technology or engineering field. What we offer colleagues We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. Distributed work environment with twice-yearly team sprints in person Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Team Member Assistance Program & Wellness Platform Opportunity to travel to new locations to meet colleagues Priority Pass and travel upgrades for long-haul company events About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open-source projects and the platform for AI, IoT, and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence; in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since our inception in 2004.​ Working here is a step into the future and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.

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 seeking a Computing & Cloud Architect to join our innovative team in Saudi Arabia. The successful candidate will be responsible for designing and deploying cutting-edge cloud computing solutions that meet the needs of our clients in a rapidly evolving technological landscape. This role combines deep technical knowledge with strategic insight, allowing you to develop tailored cloud architectures that take advantage of the best cloud services available. You will work closely with cross-functional teams to integrate solutions, promote cloud adoption, and drive digital transformation initiatives. Key Responsibilities: Own the enterprise architecture for computing platforms across on-prem, private cloud, public cloud, and HPC/AI infrastructure. Define target reference architectures, standards, and roadmaps, and provide architectural assurance for major programs and solutions. Develop and implement cloud strategies that support the organization’s short and long-term goals, ensuring high availability, performance, and security. Provide leadership and guidance in cloud technology best practices, promoting a culture of innovation within the organization. Integrate existing systems with cloud-based solutions, ensuring interoperability and data consistency across all platforms. Collaborate with software engineering teams to define cloud architecture for new applications and features. Evaluate new cloud services and technology trends, making recommendations to enhance functionality or efficiency. Monitor and analyze cloud performance metrics, adjusting architectures to optimize costs and performance. Requirements Education: Bachelor’s degree in Computer Science, Information Technology, or a related field; a Master’s degree is a plus. Experience: 15+ years of experience in IT, with at least 5 years focused on cloud computing architectures. Hands-on experience with major cloud platforms such as AWS, Azure, or Google Cloud. Solid understanding of cloud services (IaaS, PaaS, SaaS) and technologies such as containers (Docker, Kubernetes). Experience in cloud migration projects and managing hybrid cloud environments. Certifications: Cloud certifications (e.g., AWS Certified Solutions Architect, Microsoft Certified: Azure Solutions Architect Expert, or Google Cloud Professional) are preferred. Skills: Strong problem-solving and analytical skills with a focus on scalable cloud solutions. Excellent communication and collaboration skills, capable of conveying technical concepts to non-technical stakeholders. Ability to thrive in a fast-paced environment and adapt to changing business needs.

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: Remote - Global Workplace: Remote About the company Trust Wallet is the secure, self-custody Web3 wallet that empowers people to own and control their digital assets. Whether you're new to crypto or an experienced user, Trust Wallet makes it easier, safer, and more convenient to explore Web3, securely access dApps, manage your crypto, and buy and sell digital assets, all in one place. Role Overview: As the Senior Product Manager, you will lead the product strategy, vision, and execution for Trust Wallet. You will work closely with engineering, design, marketing, business development and security teams to deliver a seamless and secure user experience while driving product innovation in the fast-evolving Web3 space. Key Responsibilities: - Lead product strategy and execution for wallet infrastructure — chain integration, account models (EOA, MPC, AA/smart accounts), key management, and recovery flows. - Define and drive the standards and processes for onboarding new blockchains and tokens into the wallet, partnering with engineering, BD, and partner teams to execute smoothly. - Own the reliability, performance, and security of core wallet infra — balancing feature velocity with stability, accuracy, and defense-in-depth. - Research emerging blockchain ecosystems and account standards, evaluating technical trade-offs and translating them into product decisions and roadmap priorities. - Partner closely with engineering throughout the build and iteration cycle, ensuring technical solutions are delivered on time and align with user needs. - Work with security, compliance, and risk teams to make sure wallet infra decisions hold up against real-world threats and regulatory expectations. - Collaborate cross-functionally with swap, DeFi, dApp browser, and other product teams that depend on core wallet infra to ship their own features. Experience: - 3+ years of experience with Web3/blockchain infrastructure or wallet infrastructure specifically; 5+ years overall as a technical product manager. - Genuine passion for Web3 and a sharp eye for where the industry — and wallet infrastructure specifically — is heading. - Strong technical fluency — comfortable in deep discussions with engineers on architecture, trade-offs, and implementation details, and able to translate that into clear product decisions. - Proven track record driving cross-functional execution across engineering, security, BD, and partner teams. - First-principles thinker who can break down ambiguous, complex problems into shippable plans. - Excellent communication skills and resilience operating in a fast-moving, high-stakes environment. - Solid technical understanding of EVM and Solana — account/transaction models, RPC behavior, and the practical differences that affect wallet integration and reliability. - Strong growth and data sense — comfortable defining metrics, reading funnels/dashboards, and using data to prioritize infra investments and measure impact. Additional Information: You must have the right to work for the country you are based. Why work at Trust Wallet? - Be a part of the world’s leading blockchain ecosystem that continues to grow. - Excellent learning and career development opportunities. - Work alongside diverse, world-class talent, in an environment where learning and growth opportunities are endless. - Tackle fast-paced, challenging and unique projects. - Work in a truly global organization, with international teams and a flat organizational structure. - Work fully remotely with flexible working hours. - Enjoy competitive salary and benefits. ADDITIONAL INFORMATION This is a global and fully remote role. You must have the right to work for the country you are based. WHY WORK AT TRUST WALLET? - Be a part of the world’s leading blockchain ecosystem that continues to grow. - Excellent learning and career development opportunities. - Work alongside diverse, world-class talent, in an environment where learning and growth opportunities are endless. - Tackle fast-paced, challenging and unique projects. - Work in a truly global organization, with international teams and a flat organizational structure. - Work fully remotely with flexible working hours. - Enjoy competitive salary and benefits. Apply today to join our team in building the world’s most trusted and secure crypto wallet and enable a decentralized future for everyone. Trust Wallet is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success. *Due to the large amount of the applications, please consider your application as unsuccessful should you not be contacted within 4 weeks from your application date.

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; 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: Remote-Friendly (Travel Required) | 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 In case you hadn’t noticed, Anthropic is growing fast. Really, really fast. The People Products team exists to support Anthropic’s mission by defining the blueprint for AI at work. We help hire the best person in the world for every job, ensure manager effectiveness, ramp new hires successfully, and ensure that we apply first principles thinking in how we shape Anthropic’s culture through the tools we build. We cover the entire employee lifecycle from hiring to onboarding, teamwork, and promotions. You’ll work directly with Claude, with access to capabilities no external team has, on problems that are genuinely unsolved. You’ll move fast — prototype to production in days or weeks. We believe in cross-functional thinkers who can reason across product, design, and engineering. You’ll be given high autonomy, own your decisions, and ship constantly. If you’ve experienced the pain of bad people practices and want to be the person who fixes them at the most consequential AI company in the world, this is that job. Responsibilities Build full-stack end-to-end across the People Products portfolio. Design and implement AI-native workflows: build tools, evals, prompts, and products. You’ll help define what is possible in applied AI for people processes. Work directly with internal stakeholders — HR teams, recruiters, managers — to understand problems, gather feedback, and iterate quickly without waiting for requirements to be handed down. No gatekeeping, you are expected to talk to your customers. Make product and architecture decisions independently in a low-structure environment: knowing when to cut scope, when to ship, and when to ask for input. Contribute ideas for how the team works, what it builds, and where applied AI can have the most leverage in people workflows. You Might Be a Good Fit If You: Have 8+ years of relevant experience as a Fullstack or product engineer, with a track record of leading complex, multi-month projects or teams as a tech lead or equivalent Have shipped LLM-native features or applications. Derive joy from hard work and the act of creation. Are experienced enough to build big features independently, and make great architectural decisions along the way. Are self-sufficient end-to-end: you can go from idea to production without needing a designer, PM, or architect to unblock you. Move fast without cutting corners: you hold a high quality bar and know how to make smart tradeoffs under time pressure. Engage directly with users and criticism: you’re comfortable talking to internal customers, hearing hard feedback, and incorporating it quickly. Are genuinely mission-driven: you care about the intersection of AI and people practices, not just the technical puzzle. Are a collaborative, supportive teammate: you bring people along, communicate clearly about tradeoffs, and make the people around you better. Strong Candidates May Also Have: Familiarity with MCP (Model Context Protocol) or prior experience building Claude or LLM integrations in production. Background at an AI-native company or in a product-focused 0->1 engineering environment. Experience with HR tech platforms such as Greenhouse, Workday, or Rippling. 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: Home Based - Americas Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder led, profitable and growing. We are hiring a System Software Engineer for GCC/LLVM compiler, tooling, and ecosystem We are building a team to focus on the modern C and C++ programming language and their ecosystem on Ubuntu. They will deliver the best possible GCC and LLVM runtimes, developer experience and supporting tooling in Ubuntu. They will  ensure that the cutting edge of modern programming languages innovation is available to Ubuntu users, to lay the foundation for future inventions and open source communities. This is an exciting opportunity for a software engineer with a strong passion for compilers, runtimes and tool chains. You will have excellent competencies in modern C/C++, Linux distributions, software architectures and  open source software.  Come build a rewarding, meaningful career working with the best and brightest people in open source technology at Canonical, a growing international software company and make Ubuntu the best operating system to develop and run C/C++ applications in the cloud, in datacenters, in containers, directly on the operating system, and anywhere Ubuntu can run. The Ubuntu Foundations Team delivers the core Ubuntu system, the base for the entire Ubuntu family of products and services. Ubuntu strives to deliver the latest-best free software components, in an easy to use and highly reliable form. We build on the technical excellence of keystone open source software like GNU and Debian and bring additional focus and shape to the solutions we offer the industry. Part of the Ubuntu Foundations team, you will work on one of the most critical toolchains involved in the making of Ubuntu and the pillars of the modern software ecosystem. You will leverage your competencies and experience  in C, C++ to make Ubuntu the best platform to develop, distribute and consume software built with GCC and LLVM. You will be passionate about the future of C, C++, of Ubuntu, mindful of the dynamics of the open-source ecosystem, and equally aware of the needs of large but innovative organizations. You will drive the best in class integration in Ubuntu from desktop to cloud in a secure, reliable, performing, efficient and future-proof fashion. You will be discussing design with other team members , mentor less senior engineers, and participate in code reviews and design reviews. You will also be working with other teams to ensure architecture decisions improve the overall performance and experience of Ubuntu. Your role as part of the Ubuntu Foundations team will have an impact on every aspect of Ubuntu from Desktop, Server, Ubuntu Core and also cloud images. Location: This role will be based remotely in the AMERICAS region The role entails Based on the first round of interviews, we identify specific teams where you might be an excellent fit and conduct second-round interviews with those teams. Our engineers are: Collaborate proactively with a distributed team Select, integrate and package best-of-breed tooling with Ubuntu to improve developer and operator experience with GCC and LLVM Write high-quality code to create new features Debug issues and produce high-quality code to fix them Review code produced by other engineers Discuss ideas and collaborate on finding good solutions Work from home with global travel 2 to 4 weeks a year for internal and external events What we are looking for in you You have relevant GCC or LLVM experience, ideally in the world of cloud-native software and Linux You have experience in packaging software for Debian and Ubuntu You are a long-time Linux user Exceptional academic track record from both high school and university Undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path You love technology and working with brilliant people You are passionate, curious, flexible, articulate, and accountable You value soft skills and are passionate, enterprising, thoughtful, and self-motivated Ability to travel internationally twice a year for company events up to two weeks long Nice-to-have skills Experience with Linux distributions and distribution engineering Experience with software packaging and distribution mechanisms Understanding of build systems and toolchains, including for cross-compilation Performance or Security Engineering experience What we offer you We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. Distributed work environment with twice-yearly team sprints in person Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Team Member Assistance Program & Wellness Platform Opportunity to travel to new locations to meet colleagues Priority Pass, and travel upgrades for long haul company events About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Canonical has been a remote-first company since its inception in 2004.​ Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.