{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/skill/architectures"},"x-facet":{"type":"skill","slug":"architectures","display":"Architectures","count":100},"x-feed-size-limit":100,"x-feed-sort":"enriched_at desc","x-feed-notice":"This feed contains at most 100 jobs (the most recently enriched). For the full corpus, use the paginated /stats/by-facet endpoint or /search.","x-generator":"yubhub-xml-generator","x-rights":"Free to redistribute with attribution: \"Data by YubHub (https://yubhub.co)\"","x-schema":"Each entry in `jobs` follows https://schema.org/JobPosting. YubHub-native raw fields carry `x-` prefix.","jobs":[{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_b858319a-1d1"},"title":"Flying Analyst Engineer (Kenitra)","description":"<p>We are seeking a Flying Analyst Engineer to join our team in Kenitra. 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This includes contributing to exciting development projects in key electronic domains of modern vehicle architectures, such as Battery Management Systems (BMS) for high-voltage storage systems, Zone controllers for future-oriented, service-based E/E architectures, Control boards for traction inverters, High-performance computers (HPC) and next-generation ADAS control units, Body controllers for comfort and body functions, and AI-supported review and development processes to increase efficiency.</p>\n<p>You will gain insight into modern development processes for automotive control units and acquire hands-on experience in analysing, evaluating, and further developing hardware architectures, supporting tests of electronic prototypes, circuit and schematic design as well as layout of microcontrollers, power supplies, output stages, and CAN/Ethernet communication interfaces, using AI-based tools to automate review processes, and programming microcontrollers.</p>\n<p>As a Working Student, you will be an enrolled student in Electrical Engineering, Mechatronics, or a comparable field of study, with a strong interest in hardware development and enthusiasm for e-mobility, solid knowledge of fundamental controls electronics and related components, team spirit, strong interpersonal skills, and intercultural openness, and good German and English language skills.</p>\n<p>With mutual interest, there is the option to extend your collaboration through a thesis project.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_8b7e978e-ca5","directApply":true,"hiringOrganization":{"@type":"Organization","name":"AVL Software and Functions GmbH","sameAs":"https://jobs.avl.com","logo":"https://logos.yubhub.co/jobs.avl.com.png"},"x-apply-url":"https://jobs.avl.com/job/Regensburg-Working-Student-in-the-field-of-Control-electronics-%28mfd%29/1380406233/","x-work-arrangement":null,"x-experience-level":"entry","x-job-type":"temporary","x-salary-range":null,"x-skills-required":["Battery Management Systems","Zone controllers","Control boards","High-performance computers","Body controllers","AI-supported review and development processes","Hardware architectures","Electronic prototypes","Circuit and schematic design","Microcontrollers","Power supplies","Output stages","CAN/Ethernet communication interfaces","Programming microcontrollers"],"x-skills-preferred":[],"datePosted":"2026-04-22T17:34:22.639Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Regensburg"}},"employmentType":"TEMPORARY","occupationalCategory":"Engineering","industry":"Automotive","skills":"Battery Management Systems, Zone controllers, Control boards, High-performance computers, Body controllers, AI-supported review and development processes, Hardware architectures, Electronic prototypes, Circuit and schematic design, Microcontrollers, Power supplies, Output stages, CAN/Ethernet communication interfaces, Programming microcontrollers"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_d4c4c36b-a90"},"title":"SDV (Senior) Consultant Connectivity Expert","description":"<p>As a Senior Consultant Connectivity Expert, you will support OEMs and suppliers in building, developing, and industrializing modern connectivity and OTA architectures in the software-defined vehicle. 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The procedure takes time and affects the start date.</li>\n</ul>\n<p>At MHP, you will grow in an innovative and supportive environment continuously. This makes us the perfect sparring partner for your career. For both professional input and professional networking. We offer you:</p>\n<ul>\n<li>Appreciation. We support and appreciate colleagues as they are and celebrate our successes together.</li>\n<li>We icing towards creativity and new impulses.</li>\n<li>Flexibility. Time-wise and location-wise - depending on the project at home, in the office, or at the customer.</li>\n<li>You have the opportunity to grow with us in tasks, know-how, and responsibility.</li>\n</ul>\n<p>A comprehensive overview of our benefits can be found here.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_d4c4c36b-a90","directApply":true,"hiringOrganization":{"@type":"Organization","name":"MHP","sameAs":"https://mhp.com","logo":"https://logos.yubhub.co/mhp.com.png"},"x-apply-url":"https://jobs.porsche.com/index.php?ac=jobad&id=20420","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"Competitive salary","x-skills-required":["Connectivity technologies","Software-defined vehicle","Vehicle-to-backend/cloud connection","Telematics","Connectivity architectures","Mobile phone and communication systems","Security and authentication mechanisms","PKI-based trust models","Automated certificate and key management","5G-native authentication","Software-defined networking","Network slicing","Software-defined radio","Hybrid mobile and satellite communication"],"x-skills-preferred":[],"datePosted":"2026-04-22T17:33:32.182Z","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Connectivity technologies, Software-defined vehicle, Vehicle-to-backend/cloud connection, Telematics, Connectivity architectures, Mobile phone and communication systems, Security and authentication mechanisms, PKI-based trust models, Automated certificate and key management, 5G-native authentication, Software-defined networking, Network slicing, Software-defined radio, Hybrid mobile and satellite communication"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_2e213ff8-94f"},"title":"Praktikum Diagnose - MICROSAR IO","description":"<p>As a member of our team, you will be responsible for contributing to the development of modern diagnostic and software architectures in the context of MICROSAR IO. Your tasks will include participating in the further development of diagnostic and software architectures, supporting proof-of-concepts for sensor and actuator ECUs in zonal/SDV architectures, analysing and evaluating embedded software concepts for resource-constrained control devices, and collaborating on the integration, documentation, and standardisation of diagnostic and I/O software solutions.</p>\n<p>You will also support workshops and coordination with internal departments and external partners (e.g., suppliers).</p>\n<p>We offer flexible working hours, mobile learning, and a digital learning and work environment.</p>\n<p>Our team is responsible for developing the diagnostic architecture, future-proofing diagnostic technologies, and making our vehicles and architectures OTA-ready. 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We are looking for individuals with the skills, courage, persistence, and dreams that will help us reach our future-focused goals. At our core is innovation. Honda is constantly innovating and developing solutions to drive our business with record success. We strive to be a company that serves as a source of “power” that supports people around the world who are trying to do things based on their own initiative and that helps people expand their own potential. 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Exp in HDLs - e.g. - Verilog / VHDL</p>\n<p>Other Job-Specific Skills:</p>\n<p>Passion for research, solving hard problems, and challenging the status quo.</p>\n<p>Ability to learn new topics of apply principles to design and manufacturing challenges.</p>\n<p>Working knowledge of Agile processes and methodologies</p>\n<p>Design experiments to test hypothesis and prove them out.</p>\n<p>Utilize agile process and methodologies to conduct sensing and research initiatives</p>\n<p>Confidently make autonomous decisions bounded by the research mission and understanding of the company business model.</p>\n<p>Ability to efficiently manage resources to achieve project initiatives and schedules</p>\n<p>Clearly communicate new research and technology concepts and ideas to technical team members and management.</p>\n<p>Scientifically analyze data provided from tests and experiments to gather knowledge and understanding of the subject of research.</p>\n<p>Oversee overall research project schedule, budget, and direction.</p>\n<p>Workstyle</p>\n<p>This position will require the employee to work at our ADC, Raymond, OH office at least 4 days per workweek. 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solutions.</li>\n</ul>\n<ul>\n<li>Contribute to UI components as needed (and learn new UI technologies where required).</li>\n</ul>\n<ul>\n<li>Write clear technical documentation and maintain system design and support guides.</li>\n</ul>\n<ul>\n<li>Develop and execute automated tests using approved frameworks; ensure production quality and reliability.</li>\n</ul>\n<ul>\n<li>Provide level-3 support, troubleshooting, and performance tuning for production systems.</li>\n</ul>\n<p>Qualifications &amp; Skills</p>\n<ul>\n<li>7+ years of professional experience as a server-side software engineer.</li>\n</ul>\n<ul>\n<li>Deep understanding of equity derivatives products (options, volatility products, exotics) and their pricing and risk measures (e.g., Greeks, PnL attribution).</li>\n</ul>\n<ul>\n<li>Strong experience with concurrent, multi-threaded, and low-latency application architectures.</li>\n</ul>\n<ul>\n<li>Expertise in Object-Oriented design, design patterns, and best practices in unit and integration testing.</li>\n</ul>\n<ul>\n<li>Experience with distributed caching and replication technologies.</li>\n</ul>\n<ul>\n<li>Solid knowledge of Unix/Linux environments is required.</li>\n</ul>\n<ul>\n<li>Experience with Agile/Scrum development methodologies is required.</li>\n</ul>\n<ul>\n<li>Exposure to front-end/UI technologies (JavaScript, HTML5) is a plus.</li>\n</ul>\n<ul>\n<li>Experience with cloud platforms and containerization (e.g., Docker, Kubernetes) is a plus.</li>\n</ul>\n<ul>\n<li>B.S. in Computer Science, Mathematics, Physics, Financial Engineering, or related field.</li>\n</ul>\n<ul>\n<li>Demonstrates thoroughness, attention to detail, and strong ownership of deliverables.</li>\n</ul>\n<ul>\n<li>Effective team player with a strong willingness to collaborate and help others.</li>\n</ul>\n<ul>\n<li>Strong written and verbal communication skills; able to explain complex technical and quantitative topics to non-technical 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and tools spanning front-office, middle-office, and back-office functions in a dynamic and fast-paced environment.</p>\n<p>Our technology teams are looking for Software Engineers with C++, Python, or Java to design, implement, and maintain systems supporting our technology business functions.</p>\n<p>Candidate is expected to:</p>\n<ul>\n<li>Work closely with technology teams to develop requirements and specifications for varying projects</li>\n<li>Take part in the development and enhancement of the backend distributed system</li>\n<li>Apply AI/ML (deep learning, natural language processing, large language models) to practical and comprehensive technology solutions</li>\n</ul>\n<p>Qualifications/Skills Required:</p>\n<ul>\n<li>2-5 years of experience working with C++, Python, or Java</li>\n<li>Experience with ML libraries, Pandas, NumPy, FastAPI (Python), Boost (C++), Spring Boot (Java)</li>\n<li>Must be comfortable working in both Unix/Linux and Windows environments</li>\n<li>Good understanding of various design patterns</li>\n<li>Strong analytical and mathematical skills along with an interest/ability to quickly learn additional languages and quantitative concepts</li>\n<li>Solid communication skills</li>\n<li>Able to work collaboratively in a fast-paced environment with a passion to solving complex problems</li>\n<li>Detail oriented, organized, demonstrating thoroughness and strong ownership of work</li>\n</ul>\n<p>Desirable Skills/Knowledge:</p>\n<ul>\n<li>Bachelor or Master&#39;s degree in Computer Science, Applied Mathematics, Statistics, Data Science/ML/AI, or a related technical or engineering field</li>\n<li>Demonstrable passion for developing LLM-powered products whether that is through commercial experience or open source/academic projects you have worked on in your own time</li>\n<li>Hands-on experience building ML and data pipeline architectures</li>\n<li>Understanding of distributed messaging systems</li>\n<li>Experience with Docker/Kubernetes, microservices architecture in a cloud environment (AWS, GCP preferred)</li>\n<li>Experience with relational and non-relational database platforms</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_c7e58f60-5fa","directApply":true,"hiringOrganization":{"@type":"Organization","name":"IT LEad Program","sameAs":"https://mlp.eightfold.ai","logo":"https://logos.yubhub.co/mlp.eightfold.ai.png"},"x-apply-url":"https://mlp.eightfold.ai/careers/job/755953879362","x-work-arrangement":"onsite","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["C++","Python","Java","ML libraries","Pandas","NumPy","FastAPI","Boost","Spring Boot"],"x-skills-preferred":["Bachelor or Master's degree in Computer Science, Applied Mathematics, Statistics, Data Science/ML/AI, or a related technical or engineering field","Demonstrable passion for 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Docker/Kubernetes, microservices architecture in a cloud environment (AWS, GCP preferred), Experience with relational and non-relational database platforms"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_6964b8e4-caf"},"title":"Cybersecurity Engineer","description":"<p>Job Title: Cybersecurity Engineer</p>\n<p>Introduction to role</p>\n<p>Cybersecurity sits at the heart of our IT strategy. As we move towards ambitious objectives, we are looking for individuals who focus on innovation to maintain a sustainable risk position against an evolving threat landscape, who recognise that adversaries may include organised crime syndicates or state-sponsored attackers, and who understand attackers&#39; motivations and ways of working.</p>\n<p>In this role, you will operate within AstraZeneca&#39;s global cybersecurity organisation, collaborating with and influencing multiple functions across China, India, Mexico, Sweden, the US and the UK. Ready to help defend a global enterprise where technology directly supports life-changing medicines?</p>\n<p>Accountabilities</p>\n<p>In this role, you will engineer cybersecurity solutions across cloud, on-premises and third-party collaboration environments, with a predominant focus on cloud and data. You will collaborate with other teams to perform, assess and evolve IT processes that intersect our cybersecurity priorities, ensuring security is embedded into how work gets done. You will map governance and compliance frameworks and their controls to technical implementation, shifting hardening processes as far left as possible in the lifecycle. You will leverage deep understanding of threats, weaknesses and vulnerabilities around cloud and data to help other areas respond promptly and effectively to contain breaches or address areas of concern. You will also contribute to continuous improvement by analysing incidents, refining standards and influencing architectural decisions that balance risk, performance and usability.</p>\n<p>How will you use your expertise to raise the bar?</p>\n<p>Essential Skills/Experience</p>\n<ul>\n<li>Minimum 10 years of experience</li>\n<li>Bachelor&#39;s Degree</li>\n<li>Must have broad enterprise IT experience with significant cloud and data exposure.</li>\n<li>Must have in-depth understanding of security and networking protocols, cryptography, and modern authentication and authorization protocols.</li>\n<li>Must have experience designing, deploying, and operating secure networks, systems, application and security architectures at scale.</li>\n<li>Must have experience configuring and managing cloud security services in an AWS, Azure and GCP at organisation at scale.</li>\n<li>Must have experience researching, designing, and implementing security policies, standards, and procedures, including those in cybersecurity frameworks such as MITRE ATT&amp;CK, NIST CSF, NIST SP.800- 53, and NIST SP.800-61, as well as implementing cloud security reference architectures.</li>\n<li>Should have experience working in a software development and systems administration organisation, implementing DevSecOps and process automation.</li>\n<li>Should have the ability to conduct post-mortem on security incidents and take post-mortem data to drive uplift in policies, procedures, standards.</li>\n<li>Familiarity with CSPM, CNAPP, and Cloud EDR platforms</li>\n<li>Expertise with Microsoft Defender, Sentinel and Splunk</li>\n</ul>\n<p>Desirable Skills/Experience</p>\n<ul>\n<li>Identify and articulate architectural trade-offs.</li>\n<li>Embed process, governance and security into workflow and technology.</li>\n<li>Design and implement software tools and services using modern programming languages.</li>\n<li>Manage and lead projects delivering prioritised initiatives at challenging deadlines.</li>\n<li>Exert positive influence in a matrixed organisation to drive technology evolution.</li>\n<li>Drive efforts to achieve process and technology improvement at scale.</li>\n</ul>\n<p>The annual base pay for this position ranges from 136,044.00 - 204,066.00 USD Annual (80% - 120%). Hourly and salaried non-exempt employees will also be paid overtime pay when working qualifying overtime hours. Base pay offered may vary depending on multiple individualised factors, including market location, job-related knowledge, skills, and experience. In addition, our positions offer a short-term incentive bonus opportunity; eligibility to participate in our equity-based long-term incentive programme (salaried roles), to receive a retirement contribution (hourly roles), and commission payment eligibility (sales roles).</p>\n<p>Benefits offered included a qualified retirement programme [401(k) plan]; paid vacation and holidays; paid leaves; and, health benefits including medical, prescription drug, dental, and vision coverage in accordance with the terms and conditions of the applicable plans. Additional details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employee will be in an &#39;at-will position&#39; and the Company reserves the right to modify base pay (as well as any other discretionary payment or compensation programme) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.</p>\n<p>When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That&#39;s why we work, on average, a minimum of three days per week from the office. But that doesn&#39;t mean we&#39;re not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.</p>\n<p>AstraZeneca offers an environment where cybersecurity work has real-world impact on patients&#39; lives, not just systems and data. Here, technology experts collaborate with scientists and business teams to unlock the potential of data, analytics, AI and machine learning, constantly experimenting with new approaches while keeping critical platforms secure. There is strong investment in digital capabilities, room to explore modern tools through initiatives like hackathons, and a culture that values curiosity, coaching and continuous learning so that every day brings opportunities to grow skills and shape both personal development and the future of healthcare technology.</p>\n<p>If this role matches your skills and ambitions, apply now and help protect the digital foundations that enable life-changing medicines!</p>\n<p>Date Posted 17-Apr-2026 Closing Date 03-May-2026</p>\n<p>Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and employees. In furtherance of that mission, we welcome and consider applications from all qualified candidates, regardless of their protected characteristics. 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You&#39;ll leverage your expertise to help customers understand Claude&#39;s capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation</li>\n</ul>\n<ul>\n<li>Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams &amp; stakeholders to drive customer success</li>\n</ul>\n<ul>\n<li>Support customers building with Claude Code, the Claude API, and Claude for Enterprise</li>\n</ul>\n<ul>\n<li>Create and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering &amp; development teams up to business value focused conversations with executives</li>\n</ul>\n<ul>\n<li>Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack</li>\n</ul>\n<ul>\n<li>Help customers develop evaluation frameworks to measure Claude&#39;s performance for their specific use cases</li>\n</ul>\n<ul>\n<li>Identify common integration patterns and contribute insights back to our Product and Engineering teams</li>\n</ul>\n<ul>\n<li>Travel frequently to customer sites for workshops, technical deep dives, and relationship building</li>\n</ul>\n<ul>\n<li>Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns</li>\n</ul>\n<p>You may be a good fit if you have:</p>\n<ul>\n<li>TS/SCI clearance required</li>\n</ul>\n<ul>\n<li>Must have prior experience working with US national security (defense and/or intelligence) agencies</li>\n</ul>\n<ul>\n<li>5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager</li>\n</ul>\n<ul>\n<li>Experience navigating complex buying cycles involving multiple stakeholders</li>\n</ul>\n<ul>\n<li>Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering &amp; IT teams, and more</li>\n</ul>\n<ul>\n<li>Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders</li>\n</ul>\n<ul>\n<li>Experience designing scalable cloud architectures and integrating with enterprise systems</li>\n</ul>\n<ul>\n<li>Familiar with Python</li>\n</ul>\n<ul>\n<li>Familiarity with common LLM frameworks and tools or a background in machine learning or data science</li>\n</ul>\n<ul>\n<li>Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities</li>\n</ul>\n<ul>\n<li>A love of teaching, mentoring, and helping others succeed</li>\n</ul>\n<ul>\n<li>Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities</li>\n</ul>\n<ul>\n<li>Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems</li>\n</ul>\n<p>The annual compensation range for this role is $240,000-$270,000 USD.</p>\n<p>Logistics:</p>\n<ul>\n<li>Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience</li>\n</ul>\n<ul>\n<li>Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience</li>\n</ul>\n<ul>\n<li>Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position</li>\n</ul>\n<p>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.</p>\n<p>Visa sponsorship: We do sponsor visas! However, we aren&#39;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.</p>\n<p>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&#39;re interested in this work.</p>\n<p>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&#39;re ever unsure about a communication, don&#39;t click any links,visit anthropic.com/careers directly for confirmed position openings.</p>\n<p>How we&#39;re different:</p>\n<p>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&#39;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.</p>\n<p>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 &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.</p>\n<p>Come work with us!</p>\n<p>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</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_853e1417-019","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.com","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5079511008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$240,000-$270,000 USD","x-skills-required":["TS/SCI clearance","Prior experience working with US national security (defense and/or intelligence) agencies","Technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager","Experience navigating complex buying cycles involving multiple stakeholders","Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders","Experience designing scalable cloud architectures and integrating with enterprise systems","Familiar with Python","Familiarity with common LLM frameworks and tools or a background in machine learning or data science"],"x-skills-preferred":["Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more","Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities","A love of teaching, mentoring, and helping others succeed","Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders","Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems"],"datePosted":"2026-04-18T15:59:41.597Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Washington, DC"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"TS/SCI clearance, Prior experience working with US national security (defense and/or intelligence) agencies, Technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager, Experience navigating complex buying cycles involving multiple stakeholders, Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders, Experience designing scalable cloud architectures and integrating with enterprise systems, Familiar with Python, Familiarity with common LLM frameworks and tools or a background in machine learning or data science, Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more, Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities, A love of teaching, mentoring, and helping others succeed, Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders, Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":240000,"maxValue":270000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_3aedc59f-428"},"title":"Senior Forward Deployed AI Engineer, Enterprise","description":"<p>As a Senior Forward Deployed AI Engineer on our Enterprise team, you&#39;ll be the technical bridge between Scale AI&#39;s cutting-edge AI capabilities and our most strategic customers. You&#39;ll work with enterprise clients to understand their unique challenges, architect custom AI solutions, and ensure successful deployment and adoption of AI systems in production environments.</p>\n<p>This is a hands-on technical role that combines deep engineering expertise with customer-facing problem solving. You&#39;ll work directly with customer engineering teams to integrate AI into their critical workflows.</p>\n<p><strong>Key Responsibilities</strong></p>\n<p><strong>Customer Integration &amp; Deployment</strong></p>\n<ul>\n<li>Partner directly with enterprise customers to understand their technical infrastructure, data pipelines, and business requirements</li>\n<li>Design and implement custom integrations between Scale AI&#39;s platform and customer data environments (cloud platforms, data warehouses, internal APIs)</li>\n<li>Build robust data connectors and ETL pipelines to ingest, process, and prepare customer data for AI workflows</li>\n<li>Deploy and configure AI models and agents within customer security and compliance boundaries</li>\n</ul>\n<p><strong>AI Agent Development</strong></p>\n<ul>\n<li>Develop production-grade AI agents tailored to customer use cases across domains like customer support, data analysis, content generation, and workflow automation</li>\n<li>Architect multi-agent systems that orchestrate between different models, tools, and data sources</li>\n<li>Implement evaluation frameworks to measure agent performance and iterate toward business objectives</li>\n<li>Design human-in-the-loop workflows and feedback mechanisms for continuous agent improvement</li>\n</ul>\n<p><strong>Prompt Engineering &amp; Optimization</strong></p>\n<ul>\n<li>Create sophisticated prompt engineering strategies optimized for customer-specific domains and data</li>\n<li>Build and maintain prompt libraries, templates, and best practices for customer use cases</li>\n<li>Conduct systematic prompt experimentation and A/B testing to improve model outputs</li>\n<li>Implement RAG (Retrieval Augmented Generation) systems and fine-tuning pipelines where appropriate</li>\n</ul>\n<p><strong>Technical Leadership &amp; Collaboration</strong></p>\n<ul>\n<li>Serve as the primary technical point of contact for strategic enterprise accounts</li>\n<li>Collaborate with customer data scientists, ML engineers, and software developers to ensure smooth integration</li>\n<li>Provide technical training and knowledge transfer to customer teams</li>\n<li>Work closely with Scale&#39;s product and engineering teams to translate customer needs into product improvements</li>\n<li>Document technical architectures, integration patterns, and best practices</li>\n</ul>\n<p><strong>Problem Solving &amp; Innovation</strong></p>\n<ul>\n<li>Debug complex technical issues across the entire stack, from data pipelines to model outputs</li>\n<li>Rapidly prototype solutions to unblock customers and prove out new use cases</li>\n<li>Stay current on the latest AI/ML research and tools, bringing innovative approaches to customer problems</li>\n<li>Identify opportunities for productization based on common customer patterns</li>\n</ul>\n<p><strong>Required Qualifications</strong></p>\n<ul>\n<li>4+ years of software engineering experience with strong fundamentals in data structures, algorithms, and system design</li>\n<li>Production Python expertise with experience in modern ML/AI frameworks (e.g., LangChain, LlamaIndex, HuggingFace, OpenAI API)</li>\n<li>Experience with cloud platforms (AWS, GCP, or Azure) and modern data infrastructure</li>\n<li>Strong problem-solving skills with the ability to navigate ambiguous requirements and rapidly iterate toward solutions</li>\n<li>Excellent communication skills with the ability to explain complex technical concepts to both technical and non-technical audiences</li>\n</ul>\n<p><strong>Preferred Qualifications</strong></p>\n<ul>\n<li>Agent Development Wiz</li>\n<li>Deep understanding of LLMs including prompting techniques, embeddings, and RAG architectures</li>\n<li>Experience building and deploying AI agents or autonomous systems in production</li>\n<li>Knowledge of vector databases and semantic search systems</li>\n<li>Contributions to open-source AI/ML projects</li>\n</ul>\n<ul>\n<li>Infrastructure Guru</li>\n<li>Experience with containerization (Docker, Kubernetes) and CI/CD pipelines</li>\n<li>Experience using Terraform, Bicep, or other Infrastructure as Code (IaC) tools</li>\n<li>Previous work in a devops, platform, or infra role</li>\n</ul>\n<ul>\n<li>Customer Product Whisperer</li>\n<li>Proven ability to work with customers in a technical consulting, solutions engineering, or product engineering role</li>\n<li>Domain expertise in verticals like finance, healthcare, government, or manufacturing</li>\n<li>Experience with technical enablement or teaching programs</li>\n</ul>\n<p><strong>Sample Projects</strong></p>\n<p>The following are some examples of the types of projects we’ve worked on with customers. All of these projects leverage customer data, integrate directly into customers’ existing systems, and are deployed on their infrastructure.</p>\n<ul>\n<li>Deep Research for Due Diligence</li>\n<li>Churn Prediction</li>\n<li>Data Extraction Voice Agent</li>\n</ul>\n<p><strong>Compensation</strong></p>\n<p>Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.</p>\n<p><strong>Pay Transparency</strong></p>\n<p>For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $216,000-$270,000 USD</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_3aedc59f-428","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale AI","sameAs":"https://scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4597399005","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$216,000-$270,000 USD","x-skills-required":["Software engineering","Data structures","Algorithms","System design","Python","ML/AI frameworks","Cloud platforms","Modern data infrastructure","Problem-solving","Communication"],"x-skills-preferred":["LLMs","Prompting techniques","Embeddings","RAG architectures","Containerization","CI/CD pipelines","Infrastructure as Code","Devops","Platform","Infra"],"datePosted":"2026-04-18T15:59:30.214Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA; New York, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Software engineering, Data structures, Algorithms, System design, Python, ML/AI frameworks, Cloud platforms, Modern data infrastructure, Problem-solving, Communication, LLMs, Prompting techniques, Embeddings, RAG architectures, Containerization, CI/CD pipelines, Infrastructure as Code, Devops, Platform, Infra","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":216000,"maxValue":270000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_faee4fa2-887"},"title":"Prompt Engineer, Claude Code","description":"<p>As a Prompt Engineer on the Claude Code team, you&#39;ll own Claude&#39;s behaviours specifically within Claude Code , ensuring users get a consistent, safe, and high-quality experience as we ship new models and evolve the product.</p>\n<p>This is a highly specialized role sitting at the intersection of model behaviour and product quality. You&#39;ll be the expert on how Claude behaves inside Claude Code, owning and maintaining the system prompts that ship with each new model snapshot. When a new model drops, you&#39;re the person making sure Claude Code feels right within days , not weeks.</p>\n<p>You&#39;ll work closely with Model Quality and Research to understand emergent behaviours and behavioural regressions, and with product and safeguards teams to respond quickly when something goes wrong.</p>\n<p>This role requires someone who can move fast on behavioural tuning while maintaining rigor, and who cares deeply about the end-to-end developer experience Claude Code delivers. You&#39;ll need strong prompting skills, excellent judgment about model behaviours, and the collaborative skills to work across product, safeguards, and research teams.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Own Claude Code&#39;s system prompts for each new model snapshot, ensuring behaviours feel consistent and well-tuned</li>\n<li>Review production prompt changes and serve as a resource for particularly challenging prompting problems involving alignment and reputational risks</li>\n<li>Lead incident response for behavioural and policy concerns, coordinating with product and safeguards teams</li>\n<li>Scale prompting and evaluation best practices across claude code and product teams.</li>\n<li>Deliver product evaluations focused on model behaviours</li>\n<li>Define and streamline processes for rolling out prompt changes, including launch criteria and review practices</li>\n<li>Create model-specific prompt guides that document quirks and optimal prompting strategies for each release</li>\n<li>Collaborate with product teams to translate feature requirements into effective prompts</li>\n</ul>\n<p>You may be a good fit if you:</p>\n<ul>\n<li>Are a power user of agentic coding tools and have strong intuition about model capabilities and limitations</li>\n<li>Thrive in high-intensity environments with fast iteration cycles</li>\n<li>Take full ownership of problems and drive them to completion independently</li>\n<li>Are skilled at creating and maintaining behavioural evaluations</li>\n<li>Have strong technical understanding, including comprehension of agent scaffold architectures and model training processes</li>\n<li>Are an experienced coder comfortable working in Python and Typescript</li>\n<li>Have independently driven changes through production systems with strong execution and responsiveness</li>\n<li>Have experience translating user feedback and product needs into coherent prompts and behavioural specifications</li>\n<li>Excel at working across organisational boundaries, collaborating effectively with teams that have differing goals and perspectives</li>\n<li>Have experience translating user feedback and behavioural observations into coherent prompt changes and specifications</li>\n<li>Care deeply about AI safety and making Claude a healthy alternative in the AI landscape</li>\n</ul>\n<p>Annual compensation range for this role is $300,000-$405,000 USD.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_faee4fa2-887","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.com/","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5159669008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$300,000-$405,000 USD","x-skills-required":["prompt engineering","model behaviour","product quality","agentic coding tools","Python","Typescript","collaboration","incident response","process definition","evaluation best practices"],"x-skills-preferred":["AI safety","model training processes","agent scaffold architectures","behavioural evaluations","user feedback analysis"],"datePosted":"2026-04-18T15:59:03.936Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY | Seattle, WA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"prompt engineering, model behaviour, product quality, agentic coding tools, Python, Typescript, collaboration, incident response, process definition, evaluation best practices, AI safety, model training processes, agent scaffold architectures, behavioural evaluations, user feedback analysis","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":300000,"maxValue":405000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_5d71bfd7-723"},"title":"Partner Solutions Architect, Applied AI","description":"<p>As a Partner Solutions Architect on the Applied AI team at Anthropic, you will be a Pre-Sales architect focused on cultivating technical relationships with our Global and Regional System Integrators (GSIs/RSIs), and our cloud partners (AWS and GCP).</p>\n<p>You will strengthen our relationships with key partners to accelerate indirect revenue, enable their AI practices, and execute on long-term GTM strategy.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Strategic Technical Partnership: Be a technical thought partner to the Anthropic GTM partnerships team, providing technical expertise to better understand the partner landscape, driving key strategic programs, and identifying opportunities to deepen partner technical capabilities. Embed with GSI and cloud partner technical teams to enable their AI practices, support troubleshooting, evangelize Anthropic in their developer communities, and serve as an escalation point for complex technical issues.</li>\n</ul>\n<ul>\n<li>Joint Solution Development: Collaborate with partners to identify high value industry-specific GenAI applications, develop joint solutions and codify reference architectures / best practices to accelerate time to deployment</li>\n</ul>\n<ul>\n<li>Customer Deal Support: Intervene directly to unblock strategic customer deals where partners are the primary delivery vehicle, providing deep technical expertise and solution architecture guidance.</li>\n</ul>\n<ul>\n<li>Partner Ecosystem &amp; Events: Represent Anthropic at partner events such as GSI customer workshops, AWS summits, and industry conferences. Lead or support partner-specific developer events, hackathons, and technical enablement sessions, especially for technically native communities.</li>\n</ul>\n<p>Product Feedback: Validate and gather feedback on Anthropic&#39;s products and offerings, especially as they relate to partner use cases and deployment patterns, and deliver this feedback to relevant Anthropic teams to inform product roadmap and partner strategy.</p>\n<p>You may be a good fit if you have:</p>\n<ul>\n<li>5+ years of experience in technical customer-facing/partner-facing roles such as Solutions Architect, Sales Engineer, Partner Sales Engineer, Technical Account Manager</li>\n</ul>\n<ul>\n<li>Track record of successfully partnering with GSIs and/or cloud providers to solve complex technical challenges, from initial solution design through customer delivery</li>\n</ul>\n<ul>\n<li>Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering &amp; IT teams, and more</li>\n</ul>\n<ul>\n<li>Strong presentation &amp; technical communication skills with the ability to translate requirements between technical and business stakeholders</li>\n</ul>\n<ul>\n<li>Experience designing scalable cloud architectures and integrating with enterprise systems</li>\n</ul>\n<ul>\n<li>Familiarity with common LLM frameworks and tools or a background in machine learning or data science</li>\n</ul>\n<ul>\n<li>Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities</li>\n</ul>\n<ul>\n<li>A love of teaching, mentoring, and helping others succeed</li>\n</ul>\n<ul>\n<li>Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_5d71bfd7-723","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.com/","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5112486008","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["technical customer-facing/partner-facing roles","Solutions Architect","Sales Engineer","Partner Sales Engineer","Technical Account Manager","cloud providers","scalable cloud architectures","enterprise systems","LLM frameworks","machine learning","data science"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:59:03.769Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Paris, France"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"technical customer-facing/partner-facing roles, Solutions Architect, Sales Engineer, Partner Sales Engineer, Technical Account Manager, cloud providers, scalable cloud architectures, enterprise systems, LLM frameworks, machine learning, data science"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_e6c2906a-625"},"title":"Senior Software Engineer,  Full-Stack – Scale GP","description":"<p>We are seeking a strong Senior Full-Stack Engineer to help us build, scale, and refine our rapidly growing Generative AI platform, Scale GP. As a senior engineer, you will work across the stack,from React/TypeScript frontends to Python-based backends,while integrating with LLMs and machine learning systems. 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Additionally, this role may be eligible for additional benefits such as a commuter stipend.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_e6c2906a-625","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale","sameAs":"https://scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4637484005","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$216,000-$270,000 USD","x-skills-required":["React","TypeScript","Python","LLMs","vector databases","embeddings","SQL","API development","Kubernetes","containerization","microservice architectures","cloud providers (AWS, GCP, or Azure)"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:58:56.168Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA; New York, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"React, TypeScript, Python, LLMs, vector databases, embeddings, SQL, API development, Kubernetes, containerization, microservice architectures, cloud providers (AWS, GCP, or Azure)","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":216000,"maxValue":270000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_cec208e5-844"},"title":"Solutions Architect, Applied AI (Digital Native Business)","description":"<p>As an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping large enterprises understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack.</p>\n<p>You&#39;ll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability.</p>\n<p>Working closely with our Sales, Product, and Engineering teams, you&#39;ll guide customers from initial technical discovery through successful deployment. You&#39;ll leverage your expertise to help customers understand Claude&#39;s capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.</p>\n<p>Responsibilities:</p>\n<p>Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation</p>\n<p>Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams &amp; stakeholders to drive customer success</p>\n<p>Support customers building with both the Claude API and Claude for Work</p>\n<p>Create and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering &amp; development teams up to business value focused conversations with executives</p>\n<p>Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack</p>\n<p>Help customers develop evaluation frameworks to measure Claude&#39;s performance for their specific use cases</p>\n<p>Identify common integration patterns and contribute insights back to our Product and Engineering teams</p>\n<p>Travel occasionally to customer sites for workshops, technical deep dives, and relationship building</p>\n<p>Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns</p>\n<p>You may be a good fit if you have:</p>\n<p>5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager</p>\n<p>Experience working with enterprise customers, navigating complex buying cycles involving multiple stakeholders</p>\n<p>Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering &amp; IT teams, and more</p>\n<p>Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders</p>\n<p>Experience designing scalable cloud architectures and integrating with enterprise systems</p>\n<p>Comfortable with python</p>\n<p>Familiarity with common LLM frameworks and tools or a background in machine learning or data science</p>\n<p>Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities</p>\n<p>A love of teaching, mentoring, and helping others succeed</p>\n<p>Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities</p>\n<p>Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems</p>\n<p>Please note this role requires 3 days in office per week.</p>\n<p>Deadline to apply: None. Applications will be reviewed on a rolling basis.</p>\n<p>The annual compensation range for this role is listed below.</p>\n<p>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.</p>\n<p>Annual Salary: $240,000-$315,000 USD</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_cec208e5-844","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.com","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5065835008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$240,000-$315,000 USD","x-skills-required":["Technical customer-facing roles","Enterprise customers","Complex buying cycles","Technical communication skills","Scalable cloud architectures","Python","LLM frameworks and tools","Machine learning or data science"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:58:42.551Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Technical customer-facing roles, Enterprise customers, Complex buying cycles, Technical communication skills, Scalable cloud architectures, Python, LLM frameworks and tools, Machine learning or data science","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":240000,"maxValue":315000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_1fa27595-f10"},"title":"Sr Software Engineer-Networking","description":"<p>We are seeking experienced Senior Software Engineers with large-scale distributed system experience to join the Networking Infrastructure team. You will design and automate the networking foundations for large-scale compute clusters across all the major cloud providers, connecting millions of VMs running on Databricks. You will lead the design and development of secure and scalable connectivity that powers all the data / AI workloads. You will work closely with cross-functional teams, including product management, operations, and other engineering teams, to ensure the delivery of robust, scalable, and efficient networking systems.</p>\n<p>This is an excellent opportunity for a hands-on leader who thrives in a fast-paced environment and is passionate about solving novel multicloud and distributed systems challenges.</p>\n<p>The ideal candidate will have 5+ years of production-level experience in one of: Python, Java, Scala, C++, or a similar language, and 4+ years of experience developing large-scale distributed systems from scratch. Experience working on a SaaS platform or with Service-Oriented Architectures is also required. 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You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data.</p>\n<p>You will work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to&#39;s and productionalizing customer use cases. You will work with engagement managers to scope variety of professional services work with input from the customer.</p>\n<p>Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications. Consult on architecture and design; bootstrap or implement customer projects which leads to a customers&#39; successful understanding, evaluation and adoption of Databricks.</p>\n<p>Provide an escalated level of support for customer operational issues. 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As a member of the Connectivity team, you&#39;ll design and own foundational platform systems that support scalable data generation, evaluation, and bespoke customer delivery across Scale&#39;s ecosystem.</p>\n<p>Your responsibilities will include:</p>\n<ul>\n<li>Designing extensible, production-grade services that can support frontier AI workflows, including multi-modal inputs, long-running processes, and agentic orchestration.</li>\n<li>Building and operating distributed systems at scale, with strong guarantees around correctness, reliability, observability, and cost efficiency.</li>\n<li>Integrating with public LLM APIs and AI services, designing abstractions that are resilient to model churn, latency variability, and evolving usage patterns.</li>\n<li>Designing and maintaining data transformation and processing systems, supporting complex schema evolution, customization, and high-throughput workloads.</li>\n<li>Partnering closely with infrastructure, product, and customer-facing teams to define requirements, shape technical direction, and deliver seamless integration experiences for customers.</li>\n<li>Leading multi-quarter technical initiatives, including authoring and driving a 6+ month technical roadmap for major platform investments.</li>\n<li>Applying strong engineering judgment in ambiguous problem spaces, balancing speed with long-term maintainability and operational excellence.</li>\n<li>Raising the quality bar through thoughtful system design reviews, rigorous code reviews, and mentorship grounded in real-world production experience.</li>\n</ul>\n<p>Ideal Experience:</p>\n<ul>\n<li>7+ years of professional software engineering experience, with a strong background in building and operating large-scale, production-grade platforms.</li>\n<li>Deep expertise in distributed systems and cloud-native architectures, including Kubernetes, microservices, event-driven systems, caching, and production databases.</li>\n<li>Proven ability to lead multi-quarter technical initiatives, work effectively across cross-functional teams, and apply strong architectural judgment in ambiguous environments.</li>\n</ul>\n<p>Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_eb830261-e76","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale","sameAs":"https://scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4654275005","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$216,000-$270,000 USD","x-skills-required":["distributed systems","cloud-native architectures","Kubernetes","microservices","event-driven systems","caching","production databases"],"x-skills-preferred":["LLM APIs","AI services","data transformation","processing systems"],"datePosted":"2026-04-18T15:58:28.063Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA; New York, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"distributed systems, cloud-native architectures, Kubernetes, microservices, event-driven systems, caching, production databases, LLM APIs, AI services, data transformation, processing systems","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":216000,"maxValue":270000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_b05b9f90-7d3"},"title":"Data Center Engineer, Resource Efficiency – Compute Supply","description":"<p><strong>About the Role</strong></p>\n<p>As a Power &amp; Resource Efficiency Engineer, you&#39;ll sit at the intersection of IT and facilities , building the systems, models, and control loops that optimize how we allocate and consume power, cooling, and physical capacity across our TPU/GPU fleet.</p>\n<p>You&#39;ll own the technical strategy for turning raw data center capacity into reliable, efficient compute, working across power topology, workload scheduling, and real-time telemetry to push utilization as close to the physical envelope as possible while maintaining our availability commitments.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Build models that forecast consumption across electrical and mechanical subsystems, informing capacity planning, energy procurement, oversubscription targets and risks, including statistical modeling of cluster utilization, workload profiles, and failure modes.</li>\n</ul>\n<ul>\n<li>Design IT/OT interfaces that bridge compute orchestration with facility controls, enabling real-time telemetry across accelerator hardware, power distribution, cooling, and schedulers.</li>\n</ul>\n<ul>\n<li>Build and operate load management systems that use power and cooling topology to enable load management and power/thermal-aware placement to maximize throughput while meeting SLOs.</li>\n</ul>\n<ul>\n<li>Partner with data center providers to drive design optimizations and hold them accountable to SLA-grade performance standards, providing technical diligence on partner architectures.</li>\n</ul>\n<p><strong>What We&#39;re Looking For</strong></p>\n<ul>\n<li>Deep knowledge of data center power distribution and cooling architectures, and how they interact with IT load profiles. Experience with reliability engineering, SLA development, and failure-mode analysis.</li>\n</ul>\n<ul>\n<li>Proficiency in statistical modeling and simulation for infrastructure capacity or power utilization.</li>\n</ul>\n<ul>\n<li>Familiarity with SCADA/BMS/EPMS, telemetry pipelines, and control systems. Experience building software that bridges IT and OT.</li>\n</ul>\n<ul>\n<li>Exposure to accelerator deployments and their power management interfaces strongly preferred.</li>\n</ul>\n<ul>\n<li>Demand response, grid interaction, or behind-the-meter generation experience is a plus.</li>\n</ul>\n<ul>\n<li>Ability to translate between infrastructure engineering, software teams, and external partners.</li>\n</ul>\n<p><strong>Required Qualifications</strong></p>\n<ul>\n<li>Bachelor&#39;s degree in Electrical Engineering, Mechanical Engineering, Power Systems, Controls Engineering, or a related field.</li>\n</ul>\n<ul>\n<li>5+ years of experience in data center infrastructure or facility engineering.</li>\n</ul>\n<ul>\n<li>Demonstrated experience with data center power distribution and cooling system architectures.</li>\n</ul>\n<ul>\n<li>Experience building or operating software-based power management, load scheduling, or control systems.</li>\n</ul>\n<ul>\n<li>Proficiency in Python or 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You will ensure systems are fully operational, reliable, and compliant with design intent, safety standards, and performance requirements before transitioning to operations.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Develop, implement, and maintain comprehensive commissioning plans, protocols, test procedures, checklists, and scripts for electrical systems with related control systems</li>\n<li>Lead functional, integrated systems, and performance testing (including factory acceptance testing (FAT), site acceptance testing (SAT), and load bank testing) to verify system readiness and compliance with specifications</li>\n<li>Coordinate with design engineers, construction teams, vendors, and operations to resolve issues, perform troubleshooting, and execute corrective actions during commissioning phases</li>\n<li>Conduct thorough documentation of test results, deficiencies, punch lists, and as-built conditions; prepare commissioning reports and turnover packages for operations handover</li>\n<li>Perform quality assurance reviews of system installations, calibrations, sequences of operations, and safety interlocks</li>\n<li>Support startup and initial operations of power plants, substations, UPS, generators, or other datacenter critical electrical infrastructure</li>\n<li>Identify risks and opportunities for improvement in commissioning processes; recommend enhancements to standards, tools, and workflows</li>\n<li>Collaborate cross-functionally to ensure seamless integration of bespoke AI infrastructure systems (e.g., high-reliability power redundancy, monitoring/EPMS)</li>\n<li>Maintain a strong focus on safety, compliance with industry codes and standards (NEC, NFPA, etc.), and xAI&#39;s operational excellence standards in fast-paced, high-stakes environments</li>\n</ul>\n<p>Basic Qualifications:</p>\n<ul>\n<li>Bachelor’s degree in Electrical Engineering or a related field (or equivalent practical experience)</li>\n<li>Proficient in commissioning tools and processes (e.g., test plan development, data logging, fault simulation, and integrated systems testing)</li>\n<li>Experienced with power systems (medium/low voltage distribution, generators, UPS, switchgear, BESS)</li>\n<li>Detail-oriented with excellent analytical, problem-solving, and troubleshooting skills under tight deadlines</li>\n<li>Strong communicator capable of working effectively with multidisciplinary teams, contractors, and stakeholders</li>\n<li>Comfortable in a dynamic, fast-moving environment with evolving priorities and ambitious timelines</li>\n</ul>\n<p>Preferred Skills and Experience:</p>\n<ul>\n<li>5+ years of hands-on commissioning experience in mission-critical facilities (data centers, power plants, or similar high-reliability environments), with strong focus on electrical systems</li>\n<li>Experience commissioning natural gas power generation, datacenter infrastructure, or AI/high-performance compute facilities</li>\n<li>Familiarity with tools like SEL relays, BMS/EPMS, Navisworks, or commissioning management software</li>\n<li>Knowledge of redundancy architectures (N+1, 2N), energy efficiency metrics (PUE), and safety protocols in high-voltage environments</li>\n<li>Previous owner-side or client-facing commissioning role</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_1916d784-60b","directApply":true,"hiringOrganization":{"@type":"Organization","name":"xAI","sameAs":"https://x.ai/","logo":"https://logos.yubhub.co/x.ai.png"},"x-apply-url":"https://job-boards.greenhouse.io/xai/jobs/5082714007","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["commissioning tools and processes","power systems","electrical distribution","BESS","UPS","generators","switchgear","detail-oriented","analytical","problem-solving","troubleshooting","strong communicator"],"x-skills-preferred":["hands-on commissioning experience","natural gas power generation","datacenter infrastructure","AI/high-performance compute facilities","SEL relays","BMS/EPMS","Navisworks","commissioning management software","redundancy architectures","energy efficiency metrics","safety protocols"],"datePosted":"2026-04-18T15:58:04.694Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Memphis, TN"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"commissioning tools and processes, power systems, electrical distribution, BESS, UPS, generators, switchgear, detail-oriented, analytical, problem-solving, troubleshooting, strong communicator, hands-on commissioning experience, natural gas power generation, datacenter infrastructure, AI/high-performance compute facilities, SEL relays, BMS/EPMS, Navisworks, commissioning management software, redundancy architectures, energy efficiency metrics, safety protocols"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_d5f768d1-df6"},"title":"Full-Stack Engineer, AI Data Platform","description":"<p>Shape the Future of AI</p>\n<p>At Labelbox, we&#39;re building the critical infrastructure that powers breakthrough AI models at leading research labs and enterprises. Since 2018, we&#39;ve been pioneering data-centric approaches that are fundamental to AI development, and our work becomes even more essential as AI capabilities expand exponentially.</p>\n<p>We&#39;re the only company offering three integrated solutions for frontier AI development:</p>\n<ul>\n<li>Enterprise Platform &amp; Tools: Advanced annotation tools, workflow automation, and quality control systems that enable teams to produce high-quality training data at scale</li>\n</ul>\n<ul>\n<li>Frontier Data Labeling Service: Specialized data labeling through Alignerr, leveraging subject matter experts for next-generation AI models</li>\n</ul>\n<ul>\n<li>Expert Marketplace: Connecting AI teams with highly skilled annotators and domain experts for flexible scaling</li>\n</ul>\n<p>Why Join Us</p>\n<ul>\n<li>High-Impact Environment: We operate like an early-stage startup, focusing on impact over process. You&#39;ll take on expanded responsibilities quickly, with career growth directly tied to your contributions.</li>\n</ul>\n<ul>\n<li>Technical Excellence: Work at the cutting edge of AI development, collaborating with industry leaders and shaping the future of artificial intelligence.</li>\n</ul>\n<ul>\n<li>Innovation at Speed: We celebrate those who take ownership, move fast, and deliver impact. Our environment rewards high agency and rapid execution.</li>\n</ul>\n<ul>\n<li>Continuous Growth: Every role requires continuous learning and evolution. You&#39;ll be surrounded by curious minds solving complex problems at the frontier of AI.</li>\n</ul>\n<ul>\n<li>Clear Ownership: You&#39;ll know exactly what you&#39;re responsible for and have the autonomy to execute. We empower people to drive results through clear ownership and metrics.</li>\n</ul>\n<p>Role Overview</p>\n<p>We’re looking for a Full-Stack AI Engineer to join our team, where you’ll build the next generation of tools for developing, evaluating, and training state-of-the-art AI systems. You will own features end to end,from user-facing experiences and APIs to backend services, data models, and infrastructure.</p>\n<p>You’ll be at the heart of our applied AI efforts, with a particular focus on human-in-the-loop systems used to generate high-quality training data for Large Language Models (LLMs) and AI agents. This includes building a platform that enables us and our customers to create and evaluate data, as well as systems that leverage LLMs to assist with reviewing, scoring, and improving human submissions.</p>\n<p>Your Impact</p>\n<ul>\n<li>Own End-to-End Product Features</li>\n</ul>\n<p>Design, build, and ship complete workflows spanning frontend UI, APIs, backend services, databases, and production infrastructure.</p>\n<ul>\n<li>Enable Human-in-the-Loop AI Training</li>\n</ul>\n<p>Build systems that allow humans to efficiently create, review, and curate high-quality training and evaluation data used in AI model development.</p>\n<ul>\n<li>Support RLHF and Preference Data Workflows</li>\n</ul>\n<p>Design and implement tooling that supports RLHF-style pipelines, including task generation, human review, scoring, aggregation, and dataset versioning.</p>\n<ul>\n<li>Leverage LLMs in the Review Loop</li>\n</ul>\n<p>Build systems that use LLMs to assist human reviewers,such as automated checks, critiques, ranking suggestions, or quality signals,while maintaining human oversight.</p>\n<ul>\n<li>Advance AI Evaluation</li>\n</ul>\n<p>Design and implement evaluation frameworks and interactive tools for LLMs and AI agents across multiple data modalities (text, images, audio, video).</p>\n<ul>\n<li>Create Intuitive, Reviewer-Focused Interfaces</li>\n</ul>\n<p>Build thoughtful, efficient user interfaces (e.g., in React) optimized for high-throughput human review, quality control, and operational workflows.</p>\n<ul>\n<li>Architect Scalable Data &amp; Service Layers</li>\n</ul>\n<p>Design APIs, backend services, and data schemas that support large-scale data creation, review, and iteration with strong guarantees around correctness and traceability.</p>\n<ul>\n<li>Solve Ambiguous, Real-World Problems</li>\n</ul>\n<p>Translate loosely defined operational and research needs into practical, scalable, end-to-end systems.</p>\n<ul>\n<li>Ensure System Reliability</li>\n</ul>\n<p>Participate in on-call rotations to monitor, troubleshoot, and resolve issues across the full stack.</p>\n<ul>\n<li>Elevate the Team</li>\n</ul>\n<p>Improve engineering practices, development processes, and documentation. Share knowledge through technical writing and design discussions.</p>\n<p>What You Bring</p>\n<ul>\n<li>Bachelor’s degree in Computer Science, Data Engineering, or a related field.</li>\n</ul>\n<ul>\n<li>2+ years of experience in a software or machine learning engineering role.</li>\n</ul>\n<ul>\n<li>A proactive, product-focused mindset and a high degree of ownership, with a passion for building solutions that empower users.</li>\n</ul>\n<ul>\n<li>Experience using frontend frameworks like React/Redux and backend systems and technologies like Python, Java, GraphQL; familiarity with NodeJS and NestJS is a plus.</li>\n</ul>\n<ul>\n<li>Knowledge of designing and managing scalable database systems, including relational databases (e.g., PostgreSQL, MySQL), NoSQL stores (e.g., MongoDB, Cassandra), and cloud-native solutions (e.g., Google Spanner, AWS DynamoDB).</li>\n</ul>\n<ul>\n<li>Familiarity with cloud infrastructure like GCP (GCS, PubSub) and containerization (Kubernetes) is a plus.</li>\n</ul>\n<ul>\n<li>Excellent communication and collaboration skills.</li>\n</ul>\n<ul>\n<li>High proficiency in leveraging AI tools for daily development (e.g., Cursor, GitHub Copilot).</li>\n</ul>\n<ul>\n<li>Comfort and enthusiasm for working in a fast-paced, agile environment where rapid problem-solving is key.</li>\n</ul>\n<p>Bonus Points</p>\n<ul>\n<li>Experience building tools for AI/ML applications, particularly for data annotation, monitoring, or agent evaluation.</li>\n</ul>\n<ul>\n<li>Familiarity with data infrastructure components such as data pipelines, streaming systems, and storage architectures (e.g., Cloud Buckets, Key-Value Stores).</li>\n</ul>\n<ul>\n<li>Previous experience with search engines (e.g., ElasticSearch).</li>\n</ul>\n<ul>\n<li>Experience in optimizing databases for performance (e.g., schema design, indexing, query tuning) and integrating them with broader data workflows.</li>\n</ul>\n<p>Engineering at Labelbox</p>\n<p>At Labelbox Engineering, we&#39;re building a comprehensive platform that powers the future of AI development. Our team combines deep technical expertise with a passion for innovation, working at the intersection of AI infrastructure, data systems, and user experience. We believe in pushing technical boundaries while maintaining high standards of code quality and system reliability. Our engineering culture emphasizes autonomous decision-making, rapid iteration, and collaborative problem-solving. We&#39;ve cultivated an environment where engineers can take ownership of significant challenges, experiment with cutting-edge technologies, and see their solutions directly impact how leading AI labs and enterprises build the next generation of AI systems.</p>\n<p>Our Technology Stack</p>\n<p>Our engineering team works with a modern tech stack designed for scalability, performance, and developer efficiency:</p>\n<ul>\n<li>Frontend: React.js with Redux, TypeScript</li>\n</ul>\n<ul>\n<li>Backend: Node.js, TypeScript, Python, some Java &amp; Kotlin</li>\n</ul>\n<ul>\n<li>APIs: GraphQL</li>\n</ul>\n<ul>\n<li>Cloud &amp; Infrastructure: Google Cloud Platform (GCP), Kubernetes</li>\n</ul>\n<ul>\n<li>Databases: MySQL, Spanner, PostgreSQL</li>\n</ul>\n<ul>\n<li>Queueing / Streaming: Kafka, PubSub</li>\n</ul>\n<p>Labelbox strives to ensure pay parity across the organization and discuss compensation transparently. The expected annual base salary range for United States-based candidates is below. This range is not inclusive of any potential equity packages or additional benefits. 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You will also help create abstractions that hide networking complexity from product teams, making connectivity, discovery, and reliability seamless by default.</p>\n<p>You&#39;ll work across three key areas that define Databricks&#39; networking stack:</p>\n<p>Ingress Control Plane: Build the control plane for Databricks&#39; global ingress layer. Enable programming of API gateways with static and dynamic endpoints, simplify service onboarding, and make it easy to expose APIs securely across clouds.</p>\n<p>Service-to-Service Communication: Design scalable mechanisms for service discovery and load balancing across thousands of clusters. Provide networking abstractions so product teams don&#39;t need to worry about underlying connectivity details.</p>\n<p>Overload Protection: Build intelligent rate limiting and admission control systems to protect critical services under high load. Ensure reliability and predictable performance for both customer-facing and internal workloads.</p>\n<p>We&#39;re looking for someone with a strong proficiency in one or more languages such as Java, Scala, Go, or C++, and experience with service-oriented architectures and large scale distributed systems. Familiarity with cloud platforms (AWS, Azure, GCP) and container/orchestration technologies (Kubernetes, Docker) is also required. A track record of shipping infrastructure that supports mission-critical workloads at scale is essential.</p>\n<p>The pay range for this role is $166,000-$225,000 USD.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_82e9a289-022","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Databricks","sameAs":"https://databricks.com/","logo":"https://logos.yubhub.co/databricks.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/databricks/jobs/8183195002","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$166,000-$225,000 USD","x-skills-required":["Java","Scala","Go","C++","service-oriented architectures","large scale distributed systems","cloud platforms","container/orchestration technologies"],"x-skills-preferred":["service discovery","DNS","load balancing","Envoy"],"datePosted":"2026-04-18T15:57:51.589Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Java, Scala, Go, C++, service-oriented architectures, large scale distributed systems, cloud platforms, container/orchestration technologies, service discovery, DNS, load balancing, Envoy","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":166000,"maxValue":225000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_ef18c75a-f72"},"title":"Solutions Architect, Applied AI (Commercial)","description":"<p>As a Solutions Architect, Applied AI (Commercial), you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping customers understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack.\\n\\nYou&#39;ll combine your technical depth with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability.\\n\\nAs a Commercial Solutions Architect, you&#39;ll go deep with priority accounts as a hands-on builder, while creating reusable blueprints, demos, and enablement that extend Claude&#39;s reach across the broader Commercial book of business.\\n\\nWorking closely with our Sales, Product, and Engineering teams, you&#39;ll guide customers from initial technical discovery through successful deployment. You&#39;ll leverage your expertise to help customers understand Claude&#39;s capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.\\n\\nResponsibilities:\\n\\n<em> Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation\\n\\n</em> Serve as the primary technical advisor to customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams and stakeholders to drive customer success\\n\\n<em> Support customers building with the Claude API, Claude Code, and Claude for Enterprise\\n\\n</em> Ship working code. Build prototypes and proof-of-concepts hands-on, develop eval frameworks, and write near-production examples that customers can extend\\n\\n<em> Build reusable blueprints, demos, and enablement assets that scale across customers\\n\\n</em> Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack\\n\\n<em> Help customers develop evaluation frameworks to measure Claude&#39;s performance for their specific use cases\\n\\n</em> Identify common integration patterns and contribute insights back to our Product and Engineering teams\\n\\n<em> Travel occasionally to customer sites for workshops, technical deep dives, and relationship building\\n\\n</em> Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns\\n\\nYou may be a good fit if you have:\\n\\n<em> 3+ years of highly technical experience as a software engineer (or equivalent) with some customer-facing exposure, OR 3+ years as a Solutions Architect, Sales Engineer, or Technical Account Manager with strong hands-on building experience\\n\\n</em> A builder identity. You&#39;ve shipped real software, you have technical taste, and you care about the craft of what you build\\n\\n<em> A systems mindset. When you see a problem, your instinct is to ask &quot;how do I make this reusable.&quot; You&#39;d rather build one thing that serves ten customers than ten things that serve one each\\n\\n</em> Strong coding ability. You ship prototypes regularly and can work in a real codebase, not just notebooks. Comfort with Python expected\\n\\n<em> Strong ability to build trust with technical stakeholders and adjust your communication for varied audiences\\n\\n</em> Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders\\n\\n<em> Experience designing scalable cloud architectures and integrating with enterprise systems\\n\\n</em> Familiarity with common LLM frameworks and tools, or a background in machine learning or data science\\n\\n<em> Comfort operating in early-stage, ambiguous environments where the playbook doesn&#39;t exist yet, and a track record of building structure as you go\\n\\n</em> Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities\\n\\n<em> A love of teaching, mentoring, and helping others succeed\\n\\n</em> Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately 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requirements.</p>\n<p>You will lead proof of concept initiatives to showcase the value and viability of CoreWeave&#39;s solutions within specific environments.</p>\n<p>You will drive technical leadership and direction during customer meetings, presentations, and workshops, addressing any technical queries or concerns that arise.</p>\n<p>You will act as a virtual member of CoreWeave&#39;s Kubernetes product and engineering teams, identifying opportunities for product enhancement and collaborating with engineers to implement your suggestions.</p>\n<p>You will offer valuable insights on product features, functionality, and performance, contributing regularly to discussions about product strategy and architecture.</p>\n<p>You will conduct periodic technical reviews and assessments of customer workloads, pinpointing opportunities for workload optimization and suggesting suitable solutions.</p>\n<p>You will stay informed of the latest developments and trends in Kubernetes, cloud computing 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managing conflicts.</li>\n<li>Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects.</li>\n<li>Travel to customers 20% of the time</li>\n</ul>\n<p>Databricks Certification</p>\n<p>Pay Range Transparency</p>\n<p>Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.</p>\n<p>Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location.</p>\n<p>Based on the factors above, Databricks anticipated utilizing the full width of the range.</p>\n<p>The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.</p>\n<p>For more information regarding which range your location is in visit our page here.</p>\n<p>Zone 1 Pay Range $180,656-$248,360 USD</p>\n<p>Zone 2 Pay Range $180,656-$248,360 USD</p>\n<p>Zone 3 Pay Range $180,656-$248,360 USD</p>\n<p>Zone 4 Pay Range $180,656-$248,360 USD</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_fdc6f0f9-900","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Databricks","sameAs":"https://databricks.com","logo":"https://logos.yubhub.co/databricks.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/databricks/jobs/8461168002","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$180,656-$248,360 USD","x-skills-required":["data engineering","data science","cloud technology","Apache Spark","distributed computing","CI/CD","MLOps","performant end-to-end data architectures","technical project delivery","documentation and white-boarding skills","client management"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:57:29.214Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Los Angeles, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"data engineering, data science, cloud technology, Apache Spark, distributed computing, CI/CD, MLOps, performant end-to-end data architectures, technical project delivery, documentation and white-boarding skills, client management","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":180656,"maxValue":248360,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_7e28478b-c37"},"title":"Research, Audio Expertise","description":"<p>We&#39;re seeking a researcher to advance the frontier of audio capabilities. 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Our Talent Acquisition Team can answer questions around dbt Labs&#39; total rewards during your interview process.</p>\n<p>In select locations (including Boston, Chicago, Denver, Los Angeles, Philadelphia, New York Metro, San Francisco, DC Metro, Seattle, Austin), an alternate range may apply, as specified below.</p>\n<ul>\n<li>The typical starting salary range for this role is: $147,000 - $178,000 USD</li>\n</ul>\n<ul>\n<li>The typical starting salary range for this role in the select locations listed is: $163,000 - $198,000 US</li>\n</ul>\n<p>Equity Stake Benefits</p>\n<ul>\n<li>dbt Labs offers: unlimited vacation, 401k w/3% guaranteed contribution, excellent healthcare, paid parental leave, wellness stipend, home office stipend, and more!</li>\n</ul>\n<ul>\n<li>Equity or comparable benefits may be offered depending on the legal limitations</li>\n</ul>\n<p><strong>Our Hiring Process (All Video Interviews)</strong></p>\n<ul>\n<li>Interview with a Talent Acquisition Partner (30 Mins)</li>\n</ul>\n<ul>\n<li>Technical Interview with Hiring Manager (60 Mins)</li>\n</ul>\n<ul>\n<li>Team Interviews with Cross Collaborators (4 rounds, 45 Mins each)</li>\n</ul>\n<ul>\n<li>Final Values Interview (30 Mins)</li>\n</ul>\n<p>dbt Labs is an equal opportunity employer, committed to building an inclusive team that welcomes diverse perspectives, backgrounds, and experiences. 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You&#39;ll leverage your expertise to help customers understand Claude&#39;s capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Partner with account executives across India to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation</li>\n</ul>\n<ul>\n<li>Serve as the primary technical advisor to enterprise customers across India throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams &amp; stakeholders to drive customer success</li>\n</ul>\n<ul>\n<li>Support customers building with both the Claude API and Claude for Work</li>\n</ul>\n<ul>\n<li>Create and deliver compelling technical content tailored to different audiences across India. You will need to be able to spread the gamut from technical deep dives for engineering &amp; development teams up to business value focused conversations with executives</li>\n</ul>\n<ul>\n<li>Guide technical architecture decisions and help customers across India integrate Claude effectively into their existing technology stack</li>\n</ul>\n<ul>\n<li>Help customers develop evaluation frameworks to measure Claude&#39;s performance for their specific use cases</li>\n</ul>\n<ul>\n<li>Identify common integration patterns and contribute insights back to our Product and Engineering teams</li>\n</ul>\n<ul>\n<li>Travel occasionally to customer sites for workshops, technical deep dives, and relationship building</li>\n</ul>\n<ul>\n<li>Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns</li>\n</ul>\n<p>You may be a good fit if you have:</p>\n<ul>\n<li>7+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager</li>\n</ul>\n<ul>\n<li>Experience working with enterprise customers, navigating complex buying cycles involving multiple stakeholders</li>\n</ul>\n<ul>\n<li>Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering &amp; IT teams, and more</li>\n</ul>\n<ul>\n<li>Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders</li>\n</ul>\n<ul>\n<li>Experience designing scalable cloud architectures and integrating with enterprise systems</li>\n</ul>\n<ul>\n<li>Comfortable with python</li>\n</ul>\n<ul>\n<li>Familiarity with common LLM frameworks and tools or a background in machine learning or data science</li>\n</ul>\n<ul>\n<li>Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities</li>\n</ul>\n<ul>\n<li>A love of teaching, mentoring, and helping others succeed</li>\n</ul>\n<ul>\n<li>Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities</li>\n</ul>\n<ul>\n<li>Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems</li>\n</ul>\n<p>Logistics:</p>\n<ul>\n<li>Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience</li>\n</ul>\n<ul>\n<li>Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience</li>\n</ul>\n<ul>\n<li>Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position</li>\n</ul>\n<ul>\n<li>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.</li>\n</ul>\n<ul>\n<li>Visa sponsorship: We do sponsor visas! However, we aren&#39;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.</li>\n</ul>\n<p>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&#39;re interested in this work.</p>\n<p>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&#39;re ever unsure about a communication, don&#39;t click any links,visit anthropic.com/careers directly for confirmed position openings.</p>\n<p>How we&#39;re different:</p>\n<ul>\n<li>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.</li>\n</ul>\n<ul>\n<li>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&#39;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.</li>\n</ul>\n<ul>\n<li>As such, we greatly value communication skills.</li>\n</ul>\n<p>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 &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.</p>\n<p>Come work with us!</p>\n<p>Anthropic is a public benefit corporation headquartered in San Francisco. 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Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies.</p>\n<p>We protect and accelerate any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. 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You appreciate the diversity of challenges in working with partners and customers, and look forward to helping them realize the full promise of Cloudflare.</p>\n<p>On the Solutions Engineering team, you will find a collaborative environment where everyone brings different strengths and jumps in to help each other. Specifically, we are looking for you to:</p>\n<ul>\n<li>Build and maintain long term technical relationships with our EMEA partners to increase Cloudflare’s reputation and authority within the partner solution portfolio through demonstrating value, enablement, and uncovering new areas of potential revenue</li>\n</ul>\n<ul>\n<li>Drive technical solution design conversations and guide partners in EMEA through use case qualification and collaborative technical wins through demonstrations and proofs-of-concepts</li>\n</ul>\n<ul>\n<li>Evangelize and represent Cloudflare through technical thought leadership and expertise</li>\n</ul>\n<ul>\n<li>Be the voice of the partner internally at Cloudflare, engaging with and influencing Cloudflare’s Product and Engineering teams to meet your partner and customer needs</li>\n</ul>\n<p>Travel up to 40% throughout the quarter to support partner engagements, attend conferences and industry events, and to collaborate with your Cloudflare teammates</p>\n<p>Examples of desirable skills, knowledge and experience:</p>\n<ul>\n<li>Fluency in English (verbal and written)</li>\n</ul>\n<ul>\n<li>Experience managing technical sales within large partners and accounts:</li>\n</ul>\n<ul>\n<li>Developing champion-style relationships</li>\n</ul>\n<ul>\n<li>Driving technical wins</li>\n</ul>\n<ul>\n<li>Assisting with technical validation</li>\n</ul>\n<ul>\n<li>Experience and expertise in one or more of the core industry components of Cloudflare solutions:</li>\n</ul>\n<ul>\n<li>SASE concepts and Zero Trust Networking architectures</li>\n</ul>\n<ul>\n<li>Networking technologies including TCP, UDP, DNS, IPv4 + IPv6, BGP routing, GRE, SD-WAN, MPLS, Global Traffic Management</li>\n</ul>\n<ul>\n<li>Internet security technologies including DDoS and DDoS mitigation, Firewalls, TLS, VPN, DLP</li>\n</ul>\n<ul>\n<li>Detailed understanding of workflow from user to application including hybrid architectures with Azure, AWS, GCP</li>\n</ul>\n<ul>\n<li>HTTP technologies including reverse proxy (e.g., WAF and CDN), forward proxy (secure web gateway), serverless application development</li>\n</ul>\n<p>What Makes Cloudflare Special?</p>\n<p>We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.</p>\n<p>Project Galileo: Since 2014, we&#39;ve equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.</p>\n<p>Athenian Project: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we&#39;ve provided services to more than 425 local government election websites in 33 states.</p>\n<p>1.1.1.1: We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released.</p>\n<p>Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers.</p>\n<p>Sound like something you’d like to be a part of? We’d love to hear from you!</p>\n<p>This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.</p>\n<p>Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. 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You&#39;ll work directly with customer engineering teams to integrate AI into their critical workflows.</p>\n<p><strong>Customer Integration &amp; Deployment</strong></p>\n<p>Partner directly with enterprise customers to understand their technical infrastructure, data pipelines, and business requirements.</p>\n<p>Design and implement custom integrations between Scale AI&#39;s platform and customer data environments (cloud platforms, data warehouses, internal APIs).</p>\n<p>Build robust data connectors and ETL pipelines to ingest, process, and prepare customer data for AI workflows.</p>\n<p>Deploy and configure AI models and agents within customer security and compliance boundaries.</p>\n<p><strong>AI Agent Development</strong></p>\n<p>Develop production-grade AI agents tailored to customer use cases across domains like customer support, data analysis, content generation, and workflow automation.</p>\n<p>Architect multi-agent systems that orchestrate between different models, tools, and data sources.</p>\n<p>Implement evaluation frameworks to measure agent performance and iterate toward business objectives.</p>\n<p>Design human-in-the-loop workflows and feedback mechanisms for continuous agent improvement.</p>\n<p><strong>Prompt Engineering &amp; 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As a member of this team, you will be responsible for designing and implementing large-scale systems to detect and mitigate fraud across our entire platform.</p>\n<p>The Trust Platform team is responsible for protecting our community and platform from fraud while also ensuring our hosts, guests, homes, and experiences meet our high standards. 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We strive to also provide a disability inclusive application and interview process.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_3146971a-370","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Airbnb","sameAs":"https://www.airbnb.com/","logo":"https://logos.yubhub.co/airbnb.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/airbnb/jobs/7684833","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$190,000-$220,000 USD","x-skills-required":["backend languages","service-oriented architectures","large-scale distributed systems","platform architecture patterns","best practices","project management","technical direction","trust and risk domain","infrastructure"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:56:08.024Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote, USA"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"backend languages, service-oriented architectures, large-scale distributed systems, platform architecture patterns, best practices, project management, technical direction, trust and risk domain, infrastructure","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":190000,"maxValue":220000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_d8a17638-e52"},"title":"Account Executive NATO","description":"<p>Elastic, the Search AI company, is looking for an Enterprise Account Executive to drive net-new revenue and expansion within our developing relationship with NATO, Brussels. 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The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list . If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.</p>\n<p>Our Commitment To Inclusion &amp; Belonging:</p>\n<p>Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply. We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process. We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.</p>\n<p>How We&#39;ll Take Care of You:</p>\n<p>Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.</p>\n<p>Pay Range $212,000-$265,000 USD</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_4c199de2-f4c","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Airbnb","sameAs":"https://www.airbnb.com/","logo":"https://logos.yubhub.co/airbnb.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/airbnb/jobs/7774153","x-work-arrangement":"remote","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$212,000-$265,000 USD","x-skills-required":["backend systems","large-scale service-oriented architectures","semantic modeling","AI-driven infrastructure","data systems","infrastructure and code changes","human-in-the-loop workflows","expert guidance","data ecosystem","detecting issues","orchestrating solutions","technical design reviews","engineering architecture","software engineers","team boundaries","globally optimal solutions","communication skills","team collaboration"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:55:43.689Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote - US"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"backend systems, large-scale service-oriented architectures, semantic modeling, AI-driven infrastructure, data systems, infrastructure and code changes, human-in-the-loop workflows, expert guidance, data ecosystem, detecting issues, orchestrating solutions, technical design reviews, engineering architecture, software engineers, team boundaries, globally optimal solutions, communication skills, team collaboration","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":212000,"maxValue":265000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_0036f074-845"},"title":"Resident Solutions Architect - Financial Services","description":"<p>As a Senior Big Data Solutions Architect (Sr Resident Solutions Architect) in our Professional Services team, you will work with clients on short to medium term customer engagements on their big data challenges using the Databricks platform.</p>\n<p>You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data.</p>\n<p>RSAs are billable and know how to complete projects according to specification with excellent customer service.</p>\n<p>You will report to the regional Manager/Lead.</p>\n<p>The impact you will have:</p>\n<ul>\n<li>Work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to&#39;s and productionalizing customer use cases</li>\n<li>Work with engagement managers to scope variety of professional services work with input from the customer</li>\n<li>Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications</li>\n<li>Consult on architecture and design; 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As a Customer Solutions Architect, you will monitor an existing book of business, lead technical discussions with customers, uncover new data challenges, and showcase how dbt Cloud can address their needs through live demos and technical workshops.</p>\n<p>Responsibilities</p>\n<ul>\n<li>Manage a portfolio of Commercial or Enterprise customers and proactively monitor the health of your accounts, product adoption, and utilization across your book of business to identify opportunities for potential expansion and churn or contraction risks</li>\n<li>Improve customer loyalty and retention through building and maintaining strong relationships with key technical stakeholders within customer accounts, and understanding their analytics needs and use cases to determine where dbt Cloud can help them achieve their goals</li>\n<li>Increase the value customers obtain from dbt Cloud through educating your customer base on new products and features as they are launched and on existing products and features that they may not be making use of</li>\n<li>Collaborate closely with Sales Directors and Solutions Architects on your accounts, building strong trust-based relationships and providing strategic input on the customer lifecycle and renewals processes</li>\n<li>Be the voice of the customer in product discussions, work with the team to improve the way we work together, and participate in other cross-functional activities</li>\n<li>Participate in the knowledge loop helping to improve our processes and assets and enabling others on the team</li>\n<li>Create and deliver external facing content through live events, blog posts, recorded tutorials, or other content</li>\n</ul>\n<p>What You&#39;ll Need</p>\n<ul>\n<li>2+ years of experience in a post-sales role, such as a technical account manager or CSE</li>\n<li>A solid technical background, with a firm understanding of modern data warehousing architectures, the analytics stack, and SQL proficiency</li>\n<li>High degree of comfort presenting to various stakeholders or audience, ideally with experience in an externally facing role</li>\n<li>Ability to operate in an ambiguous and fast-paced environment and think on your feet when engaged in customer conversations</li>\n<li>Desire to be part of a team, both as an active member of the Customer Solutions Architect team as we continue to evolve and improve how we work, and in your day-to-day work with Sales Directors and Solutions Architects</li>\n<li>Openness to travel</li>\n</ul>\n<p>What Will Make You Stand Out</p>\n<ul>\n<li>Bonus points for dbt certification, prior dbt experience will be very helpful in this role</li>\n<li>Basic python competency and advanced SQL knowledge</li>\n<li>Have experience with ancillary tools, managing data infrastructure, APIs, etc</li>\n</ul>\n<p>Benefits</p>\n<ul>\n<li>Unlimited vacation time with a culture that actively encourages time off</li>\n<li>401k plan with 3% guaranteed company contribution</li>\n<li>Comprehensive healthcare coverage</li>\n<li>Generous paid parental leave</li>\n<li>Flexible stipends for:</li>\n<li>Health &amp; Wellness</li>\n<li>Home Office Setup</li>\n<li>Cell Phone &amp; Internet</li>\n<li>Learning &amp; Development</li>\n<li>Office Space</li>\n</ul>\n<p>Compensation</p>\n<p>We offer competitive compensation packages commensurate with experience, including salary, equity, and where applicable, performance-based pay. Our Talent Acquisition Team can answer questions around dbt Labs total rewards during your interview process.</p>\n<p>OTE Range (Select Locations)</p>\n<p>$110,000-$140,000 USD</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_45c42a6e-519","directApply":true,"hiringOrganization":{"@type":"Organization","name":"dbt Labs","sameAs":"https://www.getdbt.com/","logo":"https://logos.yubhub.co/getdbt.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/dbtlabsinc/jobs/4664399005","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$110,000-$140,000 USD","x-skills-required":["modern data warehousing architectures","analytics stack","SQL proficiency","post-sales role","technical account manager"],"x-skills-preferred":["dbt certification","prior dbt experience","basic python competency","advanced SQL knowledge","ancillary tools","managing data infrastructure","APIs"],"datePosted":"2026-04-18T15:55:40.064Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Austin, Texas"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"modern data warehousing architectures, analytics stack, SQL proficiency, post-sales role, technical account manager, dbt certification, prior dbt experience, basic python competency, advanced SQL knowledge, ancillary tools, managing data infrastructure, APIs","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":110000,"maxValue":140000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_3b6af70e-6ba"},"title":"Field Engineering, Data Warehousing Product Specialist","description":"<p>As the Data Warehousing Product Specialist in the Field Engineering team, you will be defining and driving our technical go-to-market strategy in the Asia Pacific and Japan region.</p>\n<p>You will be directly working with customers to guide and influence their data warehousing architecture and decisions. 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You will lead two key areas: the Automation Platform, a large-scale conversational AI platform, and automation provisioning for internal human agents and AI agents. You will collaborate with cross-functional teams to drive success metrics such as NPS, CSAT, and time-to-resolution.</p>\n<p>A typical day will involve collaborating with product, design, engineering, and data science teams to develop backend systems and enhance AI prompt effectiveness. You will drive the technical vision and strategy for workflow and backend optimization, leading and contributing to the full development cycle: technical design, implementation, testing, experimentation, and deployment.</p>\n<p>We are looking for a seasoned software engineer with 9+ years of experience in service-oriented architectures and backend development. You should have expertise in workflow optimization and backend systems, with a focus on scalable and flexible architecture. 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You&#39;ll leverage your expertise to help customers understand Claude&#39;s capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Partner with account executives across India to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation</li>\n</ul>\n<ul>\n<li>Serve as the primary technical advisor to enterprise customers across India throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams &amp; stakeholders to drive customer success</li>\n</ul>\n<ul>\n<li>Support customers building with both the Claude API and Claude for Work</li>\n</ul>\n<ul>\n<li>Create and deliver compelling technical content tailored to different audiences across India. You will need to be able to spread the gamut from technical deep dives for engineering &amp; development teams up to business value focused conversations with executives</li>\n</ul>\n<ul>\n<li>Guide technical architecture decisions and help customers across India integrate Claude effectively into their existing technology stack</li>\n</ul>\n<ul>\n<li>Help customers develop evaluation frameworks to measure Claude&#39;s performance for their specific use cases</li>\n</ul>\n<ul>\n<li>Identify common integration patterns and contribute insights back to our Product and Engineering teams</li>\n</ul>\n<ul>\n<li>Travel occasionally to customer sites for workshops, technical deep dives, and relationship building</li>\n</ul>\n<ul>\n<li>Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns</li>\n</ul>\n<p>You may be a good fit if you have:</p>\n<ul>\n<li>7+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager</li>\n</ul>\n<ul>\n<li>Experience working with enterprise customers, navigating complex buying cycles involving multiple stakeholders</li>\n</ul>\n<ul>\n<li>Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering &amp; IT teams, and more</li>\n</ul>\n<ul>\n<li>Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders</li>\n</ul>\n<ul>\n<li>Experience designing scalable cloud architectures and integrating with enterprise systems</li>\n</ul>\n<ul>\n<li>Comfortable with python</li>\n</ul>\n<ul>\n<li>Familiarity with common LLM frameworks and tools or a background in machine learning or data science</li>\n</ul>\n<ul>\n<li>Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities</li>\n</ul>\n<ul>\n<li>A love of teaching, mentoring, and helping others succeed</li>\n</ul>\n<ul>\n<li>Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities</li>\n</ul>\n<ul>\n<li>Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems</li>\n</ul>\n<p>Logistics:</p>\n<ul>\n<li>Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience</li>\n</ul>\n<ul>\n<li>Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience</li>\n</ul>\n<ul>\n<li>Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position</li>\n</ul>\n<ul>\n<li>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.</li>\n</ul>\n<ul>\n<li>Visa sponsorship: We do sponsor visas! However, we aren&#39;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.</li>\n</ul>\n<p>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&#39;re interested in this work.</p>\n<p>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&#39;re ever unsure about a communication, don&#39;t click any links,visit anthropic.com/careers directly for confirmed position openings.</p>\n<p>How we&#39;re different:</p>\n<ul>\n<li>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.</li>\n</ul>\n<ul>\n<li>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.</li>\n</ul>\n<ul>\n<li>We&#39;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.</li>\n</ul>\n<ul>\n<li>As such, we greatly value communication skills.</li>\n</ul>\n<p>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 &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.</p>\n<p>Come work with us!</p>\n<p>Anthropic is a public benefit corporation headquartered in San Francisco. 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As a Staff Technical Program Manager, you will be responsible for leading strategic ML/AI platform programs, operating with an AI-first execution mindset, and driving complex technical decisions across teams.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Lead Strategic ML/AI Platform Programs: Identify, scope, champion, and deliver high-impact, cross-engineering initiatives critical to advancing Pinterest&#39;s ML/AI Platform, GenAI infrastructure, and Agent Platform.</li>\n<li>Operate with an AI-First Execution Mindset: Use GenAI as the default operating model for program execution; producing AI-assisted first drafts of core program artifacts, modernizing high-toil workflows, and synthesizing signals to proactively surface risks, tradeoffs, and escalation paths.</li>\n<li>Prototype AI-Augmented Tools &amp; Workflows: Leverage AI coding assistants to build lightweight solutions that improve decision-making and reduce friction, including dashboards, data analysis, process helpers, and internal tooling.</li>\n<li>Apply Safety-by-Design AI Governance: Follow Pinterest&#39;s AI guidance for risk, governance, and compliance; 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We build the foundational primitives that accelerate product development across Anthropic, and own infrastructure and systems that teams depend on to ship reliably and at scale.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Architect and optimise the critical development infrastructure that powers our AI product development, including dev environments, observability, and CI/CD pipelines.</li>\n<li>Partner closely with product teams to understand their development workflow and eliminate friction points.</li>\n<li>Work on problems where reliability and enterprise trust are the bar: token refresh at scale, admin controls that let IT govern what agents can do, proxy infrastructure that stays up when partner servers don&#39;t.</li>\n</ul>\n<p><strong>Platforms</strong></p>\n<ul>\n<li>Platform Acceleration: We work on maximising the developer productivity of product engineers at Anthropic.</li>\n<li>Service Infra: We build and maintain the core infrastructure that powers Anthropic&#39;s engineering organisation, from service mesh and observability systems to deployment pipelines and shared libraries.</li>\n<li>Multicloud: We build and maintain the infrastructure that enables Anthropic to operate across multiple cloud providers.</li>\n<li>Auth &amp; Identity: We build and maintain the critical infrastructure that powers identity and authentication across Anthropic&#39;s product suite.</li>\n<li>Connectivity: Our mission is to make Claude the most connected AI.</li>\n<li>API Distributability: The Claude API today is a rapidly growing platform serving developers and enterprises at scale.</li>\n<li>Platform Intelligence: We build the training systems that adapt Claude to specific customer workloads.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Have a minimum of 5 years of practical experience building backend product or platform systems,distributed systems, cloud-native products, developer tools, or external developer facing products.</li>\n<li>Have strong fundamentals in service-oriented architectures, networking, and systems design.</li>\n<li>Are proficient in Python, Go, Rust, or similar systems languages.</li>\n<li>Have experience with cloud infrastructure (GCP, AWS, or Azure), container orchestration (Kubernetes), and/or multi-cloud networking.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Annual compensation range: $320,000-\\$320,000 USD.</li>\n<li>Visa sponsorship available.</li>\n<li>Flexible work arrangements, including remote work options.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_0f3a04da-d45","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.com/","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5157844008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$320,000-\\$320,000 USD","x-skills-required":["Python","Go","Rust","Cloud infrastructure","Container orchestration","Multi-cloud networking","Service-oriented architectures","Networking","Systems design"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:54:40.638Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY | Seattle, WA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, Go, Rust, Cloud infrastructure, Container orchestration, Multi-cloud networking, Service-oriented architectures, Networking, Systems design","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":320000,"maxValue":320000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_a2470208-732"},"title":"Solutions Architect, Applied AI (Industries)","description":"<p>As an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping large enterprises understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack.</p>\n<p>You&#39;ll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability.</p>\n<p>Working closely with our Sales, Product, and Engineering teams, you&#39;ll guide customers from initial technical discovery through successful deployment. You&#39;ll leverage your expertise to help customers understand Claude&#39;s capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation</li>\n</ul>\n<ul>\n<li>Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams &amp; stakeholders to drive customer success</li>\n</ul>\n<ul>\n<li>Support customers building with both the Claude API and Claude for Work</li>\n</ul>\n<ul>\n<li>Create and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering &amp; development teams up to business value focused conversations with executives</li>\n</ul>\n<ul>\n<li>Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack</li>\n</ul>\n<ul>\n<li>Help customers develop evaluation frameworks to measure Claude&#39;s performance for their specific use cases</li>\n</ul>\n<ul>\n<li>Identify common integration patterns and contribute insights back to our Product and Engineering teams</li>\n</ul>\n<ul>\n<li>Travel occasionally to customer sites for workshops, technical deep dives, and relationship building</li>\n</ul>\n<ul>\n<li>Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns</li>\n</ul>\n<p>You may be a good fit if you have:</p>\n<ul>\n<li>5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager</li>\n</ul>\n<ul>\n<li>Native German speaker with fluent English proficiency</li>\n</ul>\n<ul>\n<li>Experience working with enterprise customers, navigating complex buying cycles involving multiple stakeholders</li>\n</ul>\n<ul>\n<li>Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering &amp; IT teams, and more</li>\n</ul>\n<ul>\n<li>Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders</li>\n</ul>\n<ul>\n<li>Experience designing scalable cloud architectures and integrating with enterprise systems</li>\n</ul>\n<ul>\n<li>Comfortable with python</li>\n</ul>\n<ul>\n<li>Familiarity with common LLM frameworks and tools or a background in machine learning or data science</li>\n</ul>\n<ul>\n<li>Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities</li>\n</ul>\n<ul>\n<li>A love of teaching, mentoring, and helping others succeed</li>\n</ul>\n<ul>\n<li>Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities</li>\n</ul>\n<ul>\n<li>Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems</li>\n</ul>\n<p>Annual Salary: €190,000-€215,000 EUR</p>\n<p>Logistics:</p>\n<ul>\n<li>Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience</li>\n</ul>\n<ul>\n<li>Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience</li>\n</ul>\n<ul>\n<li>Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position</li>\n</ul>\n<p>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.</p>\n<p>Visa sponsorship: We do sponsor visas! However, we aren&#39;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.</p>\n<p>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&#39;re interested in this work. We think AI systems like the ones we&#39;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.</p>\n<p>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&#39;re ever unsure about a communication, don&#39;t click any links,visit anthropic.com/careers directly for confirmed position openings.</p>\n<p>How we&#39;re different:</p>\n<ul>\n<li>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.</li>\n</ul>\n<ul>\n<li>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.</li>\n</ul>\n<ul>\n<li>We&#39;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.</li>\n</ul>\n<ul>\n<li>As such, we greatly value communication skills.</li>\n</ul>\n<p>The easiest way to understand our research directions is to read our recent research. 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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</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_a2470208-732","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.com/","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/4977624008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"€190,000-€215,000 EUR","x-skills-required":["Technical customer-facing roles","Solutions Architect","Sales Engineer","Technical Account Manager","Native German speaker","Fluent English proficiency","Experience working with enterprise customers","Complex buying cycles","Multiple stakeholders","Exceptional ability to build relationships","Communicate technical concepts","Diverse stakeholders","C-suite executives","Engineering & IT teams","Strong technical communication skills","Translate customer requirements","Technical and business stakeholders","Experience designing scalable cloud architectures","Integrating with enterprise systems","Comfortable with python","Familiarity with common LLM frameworks and tools","Background in machine learning or data science","Excitement for cross-organizational collaboration","Working through trade-offs","Balancing competing priorities","Love of teaching, mentoring, and helping others succeed","Excellent communication and interpersonal skills","Convey complicated topics in easily understandable terms","Diverse set of external and internal stakeholders","Passion for thinking creatively about how to use technology","Safe and beneficial","Advancing safe AI systems"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:54:22.181Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Munich, Germany"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Technical customer-facing roles, Solutions Architect, Sales Engineer, Technical Account Manager, Native German speaker, Fluent English proficiency, Experience working with enterprise customers, Complex buying cycles, Multiple stakeholders, Exceptional ability to build relationships, Communicate technical concepts, Diverse stakeholders, C-suite executives, Engineering & IT teams, Strong technical communication skills, Translate customer requirements, Technical and business stakeholders, Experience designing scalable cloud architectures, Integrating with enterprise systems, Comfortable with python, Familiarity with common LLM frameworks and tools, Background in machine learning or data science, Excitement for cross-organizational collaboration, Working through trade-offs, Balancing competing priorities, Love of teaching, mentoring, and helping others succeed, Excellent communication and interpersonal skills, Convey complicated topics in easily understandable terms, Diverse set of external and internal stakeholders, Passion for thinking creatively about how to use technology, Safe and beneficial, Advancing safe AI systems","baseSalary":{"@type":"MonetaryAmount","currency":"EUR","value":{"@type":"QuantitativeValue","minValue":190000,"maxValue":215000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_dd290e64-a85"},"title":"Quantum Software Engineer","description":"<p>We are seeking a talented and innovative Quantum Software Engineer to join our forward-looking team at Anduril Labs. In this role, you will be instrumental in building and delivering impactful quantum solutions for both Anduril-internal use cases and external customer applications.</p>\n<p>You will work closely with delivery leads, application developers, and other solutions architects, as well as internal and external partners to design, implement, and deliver bleeding edge quantum solutions on state-of-the-art quantum-inspired, quantum annealing, and quantum gate platforms for real-world defense and national security challenges.</p>\n<p>The ideal candidate will combine a strong foundation in quantum computing principles with hands-on classical and quantum software development expertise. You will leverage your skills to translate complex problems into (hybrid) quantum algorithms, applications, and services.</p>\n<p>This includes developing robust software implementations, and integrate quantum-enhanced solutions into existing and new defense systems.</p>\n<p>If you are passionate about applying theoretical quantum concepts to deliver tangible, high-impact results, and thrive in an environment that values innovation, collaboration, and rapid prototyping, we encourage you to apply.</p>\n<p><strong>Key Responsibilities:</strong> Be a key contributor to the development of next-generation quantum-enhanced Anduril offerings and lead the design, development, and deployment of novel quantum-enhanced applications and services in the defense and national security domain. Develop impactful hybrid quantum algorithms and applications that promise significant decision advantages and focus on practical scalability and real-world applicability. Contribute knowledge of classical and quantum optimization algorithms and tools, evaluating, and communicating their pros and cons, current state-of-the-art, scaling behaviors, trade-offs, and cross-over points. Participate in the full (hybrid) quantum software development lifecycle, from concept and design to testing, deployment, and ongoing maintenance.</p>\n<p><strong>Requirements:</strong> Bachelor&#39;s degree in Computer Science, Quantum Information Science, Physics, Mathematics, or a closely related technical field. 3+ years of hands-on, professional software development experience with C, C++, Python, or another general-purpose compiled programming language. Practical experience in quantum computing, including programming quantum applications, or quantum circuit compilation. Proficiency with one or more leading quantum programming languages, SDKs, or APIs such as Qiskit, CUDA-Q, Q#, Cirq, PennyLane, or similar. Expertise in key mathematical techniques foundational to quantum computing, including linear algebra, matrix decompositions, probability theory, group theory, symmetry, and computational complexity. Proficient with database systems and SQL, with hands-on experience working with relational databases (e.g., PostgreSQL, Oracle, MySQL). Experience with Git version control, build tools, and CI/CD pipelines. Demonstrated understanding and application of software testing principles and practices, including unit testing, integration testing, and end-to-end testing. Strong problem-solving skills, meticulous attention to detail, and the ability to work effectively in a collaborative team environment. Excellent communication and interpersonal skills, with the ability to effectively articulate complex technical concepts to diverse audiences. Eligible to obtain and maintain an active U.S. Top Secret SCI security clearance. Demonstrable hands-on experience using GenAI tools (e.g., OpenAI Codex, Claude Code, Gemini Code Assist, GitHub Copilot, Amazon CodeWhisperer, or similar) for software development, code generation, debugging, and algorithmic exploration.</p>\n<p><strong>Preferred Qualifications:</strong> Master&#39;s or Ph.D. in Quantum Information Science, Physics, Computer Science, or a related quantitative field. Familiarity with leading classical optimization tools and solvers (e.g., CPLEX, Gurobi, OR-Tools) and knowledge of mathematical modeling and classical optimization solution techniques. Experience building and deploying applications to solve complex business or defense problems for customers. Proven record of successful on-time delivery of complex software projects with a high degree of predictability and quality. Experience with deployment of code in distributed environments, cloud application development (e.g., AWS, Azure, GCP), and RESTful API-driven architectures. Experience with high-performance computing (HPC) environments or parallel programming. Familiarity with quantum hardware platforms and their unique characteristics. Prior experience in defense, aerospace, or related industries applying advanced technologies. 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You will build, maintain, and develop a world-class team of product managers and leaders who deeply care about Cloudflare’s role in helping build a better Internet.</p>\n<p>Responsibilities</p>\n<ul>\n<li>Define the roadmap, drive the development, and ensure the successful delivery of innovative data security capabilities that integrate seamlessly into Cloudflare One, Cloudflare’s SASE platform.</li>\n<li>Partner with leaders in other departments such as Product Marketing, Marketing, Sales, and Customer Support to drive adoption with and gather feedback from customers and prospects.</li>\n<li>Develop and nurture relationships with engineering leadership and coordinate closely to ensure successful delivery of product.</li>\n<li>Deep understanding of the data security landscape, including current threats, regulatory requirements, and emerging technologies.</li>\n<li>A strong passion for and a clear vision for how AI and Machine Learning can fundamentally transform data security solutions in the modern era.</li>\n</ul>\n<p>Requirements</p>\n<ul>\n<li>10+ years of experience in product management or a closely related role, with a focus on data security technologies (e.g., DLP, DSPM, CASB, data encryption, data classification, data privacy).</li>\n<li>Deep understanding of the data security landscape, including current threats, regulatory requirements, and emerging technologies.</li>\n<li>A strong passion for and a clear vision for how AI and Machine Learning can fundamentally transform data security solutions in the modern era.</li>\n<li>Exceptional empathy, curiosity, attention to detail, and problem-solving abilities.</li>\n<li>Experience building and leading high-performing product teams.</li>\n<li>Excellent communication, presentation, and interpersonal skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences.</li>\n</ul>\n<p>Desirable Skills, Knowledge, and Experience</p>\n<ul>\n<li>Experience with large-scale distributed systems and cloud-native architectures.</li>\n<li>Familiarity with Zero Trust principles and architectures.</li>\n<li>Active participation in industry conferences, publications, or open-source projects related to data security or AI in security.</li>\n<li>Bachelor&#39;s degree in Computer Science, Engineering, or a related technical field; advanced degree (MBA, Master&#39;s) welcomed but not required.</li>\n</ul>\n<p>What Makes Cloudflare Special?</p>\n<p>We’re not just a highly ambitious, large-scale technology company. 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be that via Claude.ai, the Anthropic API, enterprise deployments, Claude Code, or mission-driven applications - and carry real end-to-end ownership.\\n\\nYou&#39;ll partner with engineering managers, product leaders, designers, and researchers to understand new model capabilities and redefine what is possible for users in the world of LLMs - and how to build it.\\n\\nWe’ll look to you to have a product-oriented mindset and input, own technical quality across the stack (performance, accessibility, reliability, and developer experience), scale your efforts to millions of users on a global scale, and carry genuine excitement about what AI makes possible.\\n\\n## Responsibilities:\\n\\nDeveloper Experience:\\n\\nYou&#39;ll build the products and tools - console, SDKs, docs, and observability - that give developers the confidence to rely on Claude in their most critical applications.\\n\\nOur mission is to meet developers where they are and bring them closer to the ceiling of what&#39;s possible with our models and API.\\n\\nThat means building trust through great platform fundamentals, inspiring developers to raise the bar in how they use Claude&#39;s capabilities, and accelerating the path to agentic development by designing for both human and AI developers.\\n\\nYou&#39;ll work closely with teams across the Platform org to turn Claude&#39;s newest capabilities into experiences developers can actually pick up and run with - 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React, Typescript)\\n\\n- Take a product-focused approach to building solutions that are robust, scalable, and easy to use\\n\\n- Have worked in early start-up or otherwise fast moving, rapidly evolving environments, and have ideally built products from 0 to 1\\n\\n- Have successfully driven cross-team alignment to get impactful work shipped, and work with influence over authority\\n\\n- Have experience establishing engineering standards, component architectures, and development best practices\\n\\n- Thrive in fast-paced environments and can navigate ambiguity to deliver high-quality products\\n\\n## Benefits:\\n\\n- Competitive salary and equity package\\n\\n- Opportunity to work with a talented team of engineers and researchers\\n\\n- Collaborative and dynamic work environment\\n\\n- Flexible work arrangements, including remote work options\\n\\n- Access to cutting-edge technology and tools\\n\\n- Professional development opportunities\\n\\n- Recognition and rewards for outstanding performance\\n\\n- Comprehensive benefits package, including medical, dental, and vision insurance\\n\\n- 401(k) matching program\\n\\n- Paid time off and holidays\\n\\n- Employee assistance program\\n\\n- Discounts on Anthropic products and services\\n\\n## How to Apply:\\n\\nIf you&#39;re excited about the opportunity to join our team and contribute to the development of innovative AI solutions, please submit your application through our website.\\n\\nWe can&#39;t wait to hear from you!</strong></p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_12544c89-d3a","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.com/","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5174743008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$320,000-$320,000 USD","x-skills-required":["full-stack engineering","React","Typescript","modern frontend and backend development","complex, consumer or B2B user-facing products","engineering standards","component architectures","development best practices"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:54:01.056Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY | Seattle, WA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"full-stack engineering, React, Typescript, modern frontend and backend development, complex, consumer or B2B user-facing products, engineering standards, component architectures, development best practices","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":320000,"maxValue":320000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_9be280f4-cbc"},"title":"Software Engineer, Data Infrastructure","description":"<p>We&#39;re looking for an engineer to join our small, high-impact team responsible for architecting and scaling the core infrastructure behind distributed training pipelines, multimodal data catalogs, and intelligent processing systems that operate over petabytes of data.</p>\n<p>As a software engineer on our data infrastructure team, you&#39;ll design, build, and operate scalable, fault-tolerant infrastructure for LLM Research: distributed compute, data orchestration, and storage across modalities. 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practices, with a perspective on how AI can improve engineering productivity and code quality.</li>\n</ul>\n<ul>\n<li>Experience working asynchronously as part of a fully remote, distributed team.</li>\n</ul>\n<p>Preferred Qualifications</p>\n<ul>\n<li>Experience with Kargo or similar progressive delivery systems.</li>\n</ul>\n<ul>\n<li>Hands-on experience with multi-cloud architectures (AWS, GCP, Azure).</li>\n</ul>\n<ul>\n<li>Experience building code quality platforms, static analysis tooling, or testing infrastructure at scale.</li>\n</ul>\n<ul>\n<li>Experience defining and rolling out engineering-wide code quality standards or best practices.</li>\n</ul>\n<ul>\n<li>A track record of improving developer productivity or release safety across a large engineering organization.</li>\n</ul>\n<ul>\n<li>Experience mentoring engineers and shaping team culture in a staff or principal-level role.</li>\n</ul>\n<ul>\n<li>Track record of evaluating, championing, and rolling out AI developer tools (e.g., Copilot, Cursor, Claude Code) within an engineering organization.</li>\n</ul>\n<ul>\n<li>Experience defining guidelines, guardrails, or best practices for AI-assisted development.</li>\n</ul>\n<p>Compensation &amp; Benefits</p>\n<p>Salary: We offer competitive compensation packages commensurate with experience, including salary, equity, and where applicable, performance-based pay.</p>\n<p>In select locations (including Boston, Chicago, Denver, Los Angeles, Philadelphia, New York Metro, San Francisco, DC Metro, Seattle, Austin), an alternate range may apply, as specified below.</p>\n<ul>\n<li>The typical starting salary range for this role is: $207,000 - $251,000 USD</li>\n</ul>\n<ul>\n<li>The typical starting salary range for this role in the select locations listed is: $230,000 - $279,000 US</li>\n</ul>\n<p>Equity Stake Benefits</p>\n<ul>\n<li>dbt Labs offers: unlimited vacation, 401k w/3% guaranteed contribution, excellent healthcare, paid parental leave, wellness stipend, home office stipend, and more!</li>\n</ul>\n<p>Our Hiring Process</p>\n<ul>\n<li>Interview with a Talent Acquisition Partner (30 Mins)</li>\n</ul>\n<ul>\n<li>Technical Interview with Hiring Manager (60 Mins)</li>\n</ul>\n<ul>\n<li>Team Interviews - Technical (3 rounds, 60 Mins each)</li>\n</ul>\n<ul>\n<li>Values Interview (30 Mins)</li>\n</ul>\n<p>#LI_RC1</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_76d3f53b-3c6","directApply":true,"hiringOrganization":{"@type":"Organization","name":"dbt Labs","sameAs":"https://www.getdbt.com/","logo":"https://logos.yubhub.co/getdbt.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/dbtlabsinc/jobs/4666468005","x-work-arrangement":"remote","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Helm","ArgoCD","Terraform","Python","GitHub 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To aid your customers, you will work closely with every team at Cloudflare, from Sales and Product to Engineering and Customer Success.</p>\n<p>Your goal should drive you through the entire organization as you seek out and create solutions for your customer&#39;s needs.</p>\n<p>Virtual Solution Engineers (VSE) are a specialized part of this team, engaging directly with Small and Medium Business (SMB) customers across the Europe, Middle East and Africa (EMEA) region. They deliver product demonstrations, conduct discovery sessions, build technical alignment, and ensure customers understand how Cloudflare can solve their challenges at scale.</p>\n<p>VSEs work primarily through digital channels, collaborating closely with Account Executives (AE) across multiple markets to engage with new prospects and help existing customers move forward in their journey with Cloudflare.</p>\n<p>Ultimately, we&#39;re committed to accelerating sales cycles and increasing win rates while increasing productivity and efficiency, through standardization and automation.</p>\n<p>Who are we looking for?</p>\n<p>Our Virtual Solution Engineers come from a wide range of backgrounds. We&#39;re serious about building a diverse team. When hiring we look for experience combined with genuine curiosity for our technology and ambition to be as diligent and helpful as possible in supporting our customers and partners to achieve their goals.</p>\n<p>The range of products and solutions offered by Cloudflare is broad so that we are able to meet our lofty goal of helping to build a better Internet. A broad knowledge of Internet performance, networking and security technology is required.</p>\n<p>The curiosity to maintain and develop new knowledge is essential to keeping up with the high rate of product innovation at Cloudflare.</p>\n<p>Ultimately, you are passionate about technology and have the ability to explain complex technical concepts in easy-to-understand terms. 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We&#39;re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.</p>\n<p>Project Galileo: Since 2014, we&#39;ve equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare&#39;s enterprise customers--at no cost.</p>\n<p>Athenian Project: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we&#39;ve provided services to more than 425 local government entities.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_a442cd76-850","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Cloudflare","sameAs":"https://www.cloudflare.com/","logo":"https://logos.yubhub.co/cloudflare.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/cloudflare/jobs/6934200","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Internet fundamentals","Networking","Security technology","Programming and application development knowledge","Python","JavaScript","Bash","APIs","Cloud providers","Modern app architectures","Serverless","Containers","Microservices","Cloud security platforms","SASE","Zero Trust"],"x-skills-preferred":["Graduates of technical, computer science, 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Support Experience team, you&#39;ll play a crucial role in enhancing our self-serve support experiences.</p>\n<p><strong>About the Team</strong></p>\n<p>The Support Experience engineering organization builds and improves Stripe&#39;s user support from end to end: how users get help within our products, how they get in touch with us when they have questions, and how our teams use internal tools to answer those questions.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Design and implement state-of-the-art ML models and large-scale ML systems for enhancing self-serve support capabilities, balancing ML principles, domain knowledge, and engineering constraints</li>\n<li>Develop and optimize contextual conversation models and ML-powered resolution flows for common support scenarios, using tools such as PyTorch, TensorFlow, and XGBoost</li>\n<li>Create and refine pipelines for training and evaluating models in both offline and online environments, with a focus on improving support 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In this role, you will lead the Notebook Dataplane team, which is responsible for running user code in the Notebook. We are undergoing an exciting architecture transformation to run stateful user code as a service for the product teams, providing a reliable and low-latency service for the Serverless products.</p>\n<p>As the Engineering Manager, you will play a critical role in driving the technical vision, architecture, and execution for the service. 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The ideal candidate will have 10+ years of software engineering experience, 3+ years of engineering management experience, and expertise in distributed systems, cloud platforms, and modern web application architectures.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_ae715d1b-bea","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Databricks","sameAs":"https://databricks.com","logo":"https://logos.yubhub.co/databricks.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/databricks/jobs/8190108002","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$190,900-$253,750 USD","x-skills-required":["distributed systems","cloud platforms","modern web application architectures","software engineering","engineering management"],"x-skills-preferred":["containers","Kubernetes","system-level skills"],"datePosted":"2026-04-18T15:53:34.665Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"distributed systems, cloud platforms, modern web application architectures, software engineering, engineering management, containers, Kubernetes, system-level skills","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":190900,"maxValue":253750,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_90e31ab7-e71"},"title":"AI Engineer - Paige","description":"<p><strong>Job Title: AI Engineer - Paige</strong></p>\n<p><strong>About the Role</strong></p>\n<p>At Pave, we&#39;re building the industry&#39;s leading compensation platform. As an AI Engineer on the Paige team, you&#39;ll shape the technical vision and execution of our autonomous AI compensation analyst. You&#39;ll work with a team of engineers and data scientists to build the product end-to-end and take it to market.</p>\n<p><strong>Key Responsibilities</strong></p>\n<ul>\n<li>Develop and maintain production systems using LLMs, agentic architectures, and retrieval systems</li>\n<li>Collaborate with cross-functional teams to design and implement features end-to-end</li>\n<li>Apply pragmatic engineering judgment to balance speed and quality</li>\n<li>Communicate clearly and effectively with both technical and non-technical stakeholders</li>\n</ul>\n<p><strong>What We Offer</strong></p>\n<ul>\n<li>Competitive salary and equity package</li>\n<li>Best-in-class medical, dental, and vision coverage</li>\n<li>Unlimited PTO and flexible work arrangements</li>\n<li>Quarterly education stipend and opportunities for professional growth</li>\n</ul>\n<p><strong>Culture</strong></p>\n<p>At Pave, we value intellectual honesty, a willingness to play to win, and a commitment to upholding the highest standards. 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You are someone that invests in yourself as much as you invest in your professional relationships.</li>\n<li>A history of successful customer relations where you developed an understanding of what made a difference, and devised architectures that helped meet a goal, tackle a problem, or outpace competitors.</li>\n<li>An ability to influence. Have you more than once convinced a team you worked for, of an idea, technology, or architectural pattern?</li>\n<li>The ability to inspire groups, both large and small.</li>\n<li>A willingness to travel 40% within region, as well as occasionally internationally.</li>\n</ul>\n<p><strong>Compensation</strong></p>\n<p>Compensation for this role is in the form of base salary plus a variable component, that together comprise the On-Target Earnings (OTE). On-Target Earnings (OTE) are based on a 70/30 pay mix (base salary / target variable). The typical starting OTE range for new hires in this role is listed below. This range represents the lowest to highest OTE we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the range may be modified in the future. An employee&#39;s position within the OTE range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organisational needs. Elastic believes that employees should have the opportunity to share in the value that we create together for our shareholders. Therefore, in addition to cash compensation, this role is currently eligible to participate in Elastic&#39;s stock program. Our total rewards package also includes a company-matched 401k with dollar-for-dollar matching up to 6% of eligible earnings, along with a range of other benefits offered with a holistic emphasis on employee well-being. The typical starting salary range for this role is: $107,500-$170,100 USD The typical starting Target Variable range for this role is: $46,000-$72,800 USD The typical starting On-Target Earnings (OTE) range for this role is: $153,500-$242,900 USD</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_cbd5a66b-041","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Elastic","sameAs":"https://www.elastic.co","logo":"https://logos.yubhub.co/elastic.co.png"},"x-apply-url":"https://job-boards.greenhouse.io/elastic/jobs/7747112","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$107,500-$170,100 USD","x-skills-required":["technical presales role","modern platforms","software","technologies","customer relations","architectures","influence","inspire groups","travel"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:53:23.359Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York, United States"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"technical presales role, modern platforms, software, technologies, customer relations, architectures, influence, inspire groups, travel","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":107500,"maxValue":170100,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_31f63648-f2e"},"title":"Software Engineer, Fullstack (Support Core)","description":"<p>We&#39;re seeking an experienced and ambitious Full Stack Software Engineer to join our team in Vancouver, Canada. 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Your expertise will enrich the team, including through the active mentorship of junior engineers.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Design, develop, and deploy high-quality features across Dialpad&#39;s web and desktop-native applications.</li>\n<li>Write clean, modular, and maintainable code using best practices along with unit &amp; integration tests.</li>\n<li>Participate in code reviews to ensure code quality, maintainability, and scalability.</li>\n<li>Ensure that features are shipped on time and with the highest quality.</li>\n<li>Participate in a rotating team on-call schedule to quickly diagnose and resolve critical issues, ensuring a seamless customer experience.</li>\n<li>Collaborate with cross-functional teams to build and use common components and practices across Dialpad products.</li>\n<li>Mentor junior engineers and help them grow their skills and expertise.</li>\n</ul>\n<p>Requirements include:</p>\n<ul>\n<li>5+ years of professional experience in 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pipelines that give Safeguards, Policy, and T&amp;S operational teams situational awareness over CSP traffic and close the visibility gap between third-party and first-party serving</li>\n</ul>\n<ul>\n<li>Dive into the CSP serving stack to identify the lowest-impact points to gather signals or introduce interventions without degrading latency, stability, or overall architecture</li>\n</ul>\n<ul>\n<li>Hold a high operational bar: own on-call, drive root-cause analyses and postmortems for safeguards incidents on CSP platforms, and build systems that reduce the human intervention required to keep Claude safe</li>\n</ul>\n<ul>\n<li>Work closely with Safeguards research, Policy &amp; Enforcement, the Cloud Inference team, and CSP partner contacts to turn detection research and policy decisions into production enforcement that works inside a partner&#39;s cloud.</li>\n</ul>\n<p>You may be a good fit if you:</p>\n<ul>\n<li>Have a Bachelor&#39;s degree in Computer Science, Software 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complex technical and risk tradeoffs to non-technical stakeholders across Policy, Legal, and partner organisations</li>\n</ul>\n<ul>\n<li>Enjoy working in a fast-paced, early environment; comfortable with adapting priorities as driven by the rapidly evolving AI space</li>\n</ul>\n<p>Strong candidates may also have experience with:</p>\n<ul>\n<li>Building trust and safety, anti-spam, fraud, or abuse detection and mitigation mechanisms for AI/ML systems, or the infrastructure to support these systems at scale</li>\n</ul>\n<ul>\n<li>Machine learning serving infrastructure (GPUs/TPUs, inference servers, load balancing) and the operational realities of running models in production</li>\n</ul>\n<ul>\n<li>Major cloud platform internals,IAM, Network/service perimeter controls, regional resource constraints, cloud-native logging/monitoring,or experience shipping software that runs inside a partner&#39;s cloud rather than your own</li>\n</ul>\n<ul>\n<li>Data residency, privacy engineering, or compliance-constrained architectures, particularly where telemetry has to stay within regional or contractual boundaries</li>\n</ul>\n<ul>\n<li>Working closely with operational and human-review teams to build custom internal tooling, admin UX, and alerting</li>\n</ul>\n<ul>\n<li>Adversarial mindset: has shipped defences against motivated attackers before, knows what it feels like when they adapt, and can sprint to close a gap before it becomes an incident</li>\n</ul>\n<ul>\n<li>Comfortable operating at the intersection of platform/infra engineering and trust &amp; safety,neither a pure infra engineer nor a pure T&amp;S engineer, but someone who can credibly do both</li>\n</ul>\n<ul>\n<li>Has shipped software that runs inside someone else&#39;s infrastructure (partner cloud, embedded deployment, or similar) and knows how to get things done when you don&#39;t control the whole stack</li>\n</ul>\n<ul>\n<li>Senior enough to own a cross-team seam independently, drive consensus across orgs, and make latency/safety tradeoff calls without escalation</li>\n</ul>\n<ul>\n<li>TypeScript or Rust, and agentic coding tools such as Claude Code</li>\n</ul>\n<p>The annual compensation range for this role is listed below.</p>\n<p>For sales roles, the range provided is the role&#39;s On Target Earnings (&#39;OTE&#39;) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.</p>\n<p>Annual Salary: $405,000-$485,000 USD</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a 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You&#39;ll leverage your AI engineering expertise to develop custom evaluation frameworks, design scalable architectures, and create the technical resources that enable startups to succeed with Claude.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Serve as a deep technical advisor to high-potential startups, working alongside them to build innovative use cases that push the boundaries of AI</li>\n</ul>\n<ul>\n<li>Work hands-on with startup engineering teams: pair programming, architecture reviews, and code contributions that accelerate their development</li>\n</ul>\n<ul>\n<li>Develop prototypes and technical documentation,including evaluation suites, AI engineering techniques, and architecture diagrams,that enable startups to build and scale with Claude</li>\n</ul>\n<ul>\n<li>Collaborate closely with Applied AI Architects to maintain context and continuity across customer engagements</li>\n</ul>\n<ul>\n<li>Identify patterns across engagements and contribute insights back to Product, Engineering, and the broader Applied AI team</li>\n</ul>\n<ul>\n<li>Create technical content for startup audiences including documentation, tutorials, and sample code</li>\n</ul>\n<ul>\n<li>Foster community engagement through hackathons, webinars, technical office hours, and startup-focused events</li>\n</ul>\n<ul>\n<li>Travel to customer sites for workshops, implementation support, and relationship building</li>\n</ul>\n<p>You may be a good fit if you have:</p>\n<ul>\n<li>4+ years of experience as a Software Engineer, Forward Deployed Engineer, or technical founder</li>\n</ul>\n<ul>\n<li>Production experience building LLM-powered applications, including prompting, context engineering, agent architectures, evaluation frameworks, and deployment at scale</li>\n</ul>\n<ul>\n<li>Strong programming skills with proficiency in Python and experience building production applications</li>\n</ul>\n<ul>\n<li>Experience with startups or high-growth companies</li>\n</ul>\n<ul>\n<li>Ability to context-switch across industries (healthcare, fintech, etc.) and use cases</li>\n</ul>\n<ul>\n<li>Builder credibility that earns trust with technical founders and engineering teams,you&#39;ve shipped products and can speak from experience</li>\n</ul>\n<ul>\n<li>Strong technical communication skills with the ability to translate complex AI concepts into architectural decisions and actionable implementation plans</li>\n</ul>\n<ul>\n<li>Experience facilitating technical workshops, hackathons, or developer-focused events</li>\n</ul>\n<ul>\n<li>Passion for making powerful technology safe and beneficial</li>\n</ul>\n<p>The annual compensation range for this role is $200,000-$320,000 USD.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_99943bd5-1ee","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.com/","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5073277008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$200,000-$320,000 USD","x-skills-required":["Python","LLM-powered applications","Prompting","Context engineering","Agent architectures","Evaluation frameworks","Deployment at scale"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:53:04.865Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, LLM-powered applications, Prompting, Context engineering, Agent architectures, Evaluation frameworks, Deployment at scale","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":200000,"maxValue":320000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_4ea7999b-3d8"},"title":"Resident Solutions Architect - 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The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.</p>\n<p>Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location.</p>\n<p>Based on the factors above, Databricks anticipated utilizing the full width of the range.</p>\n<p>The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.</p>\n<p>For more information regarding which range your location is in visit our page here.</p>\n<p>Zone 1 Pay Range $180,656-$248,360 USD</p>\n<p>Zone 2 Pay Range $180,656-$248,360 USD</p>\n<p>Zone 3 Pay Range $180,656-$248,360 USD</p>\n<p>Zone 4 Pay Range $180,656-$248,360 USD</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_4ea7999b-3d8","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Databricks","sameAs":"https://databricks.com","logo":"https://logos.yubhub.co/databricks.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/databricks/jobs/8494145002","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$180,656-$248,360 USD","x-skills-required":["data engineering","data platforms & analytics","Python","Scala","Cloud ecosystems","Apache Spark","CI/CD","MLOps","end-to-end data architectures","technical project delivery","documentation and white-boarding skills","client management"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:53:02.737Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Austin, Texas"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"data engineering, data platforms & analytics, Python, Scala, Cloud ecosystems, Apache Spark, CI/CD, MLOps, end-to-end data architectures, technical project delivery, documentation and white-boarding skills, client management","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":180656,"maxValue":248360,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_f9bb74a3-292"},"title":"Platform Software Engineer","description":"<p>EarnIn is seeking a Platform Engineer to help with strategic design, automation, and optimization of our cloud infrastructure. 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most strategic accounts.</li>\n</ul>\n<p>Candidates should demonstrate how they can act as a force multiplier across multiple dimensions of the business.</p>\n<p>Success in this role requires strength in four areas:</p>\n<ul>\n<li>Business ownership – Operate at a business-unit level by tracking revenue, pipeline, and key observations, and by identifying areas needing additional focus or support.</li>\n</ul>\n<ul>\n<li>Strategic account engagement – Partner with account teams to engage priority accounts across the global DB700, driving strategic opportunities from initial engagement through successful outcomes.</li>\n</ul>\n<ul>\n<li>Field enablement – Build and execute enablement plans that empower AEs and SAs to confidently carry the Lakebase conversation even when the specialist is not present.</li>\n</ul>\n<p>Market voice and thought leadership – Develop an internal and external presence by contributing to global AMAs and internal forums, and by representing Databricks at key first- and third-party events.</p>\n<p><strong>What we look for</strong></p>\n<ul>\n<li>7+ years of enterprise SaaS sales experience, consistently exceeding quota in complex, multi-stakeholder deals.</li>\n</ul>\n<ul>\n<li>Proven success selling data platforms, operational databases (e.g., Postgres, MySQL, cloud-native DBaaS), or adjacent data/AI infrastructure to technical buyers and business leaders.</li>\n</ul>\n<ul>\n<li>Strong understanding of modern data and application architectures, including cloud-native services, microservices, event-driven systems, and how operational data underpins AI and analytics strategies.</li>\n</ul>\n<ul>\n<li>Ability to sell to both technical stakeholders (developers, architects, data engineers) and business stakeholders (product leaders, operations, line-of-business owners).</li>\n</ul>\n<ul>\n<li>Demonstrated experience leading specialist or overlay motions, working jointly with core Account Executives to create and progress opportunities.</li>\n</ul>\n<ul>\n<li>Executive presence with the ability to whiteboard architectures, lead C-level conversations, and build trust with senior decision makers.</li>\n</ul>\n<ul>\n<li>Strong value selling skills: adept at discovering pain, building a business case, and tying technical capabilities to clear, quantified outcomes.</li>\n</ul>\n<ul>\n<li>Excellent communication, storytelling, and negotiation skills, with comfort presenting to both large and small audiences.</li>\n</ul>\n<ul>\n<li>Bachelor’s degree or equivalent practical experience.</li>\n</ul>\n<p><strong>Preferred qualifications</strong></p>\n<ul>\n<li>Experience selling Postgres, operational databases, OLTP workloads, or transactional cloud database services, ideally within large or strategic accounts.</li>\n</ul>\n<ul>\n<li>Familiarity with data platforms, lakehouse architectures, and cloud ecosystems (AWS, Azure, GCP), including how operational databases fit within broader data and AI strategies.</li>\n</ul>\n<ul>\n<li>Understanding of reverse ETL, real-time decisioning, and operational analytics use cases, and how they drive value for customer-facing and internal applications.</li>\n</ul>\n<ul>\n<li>Exposure to AI-native and agent-driven applications that depend on low-latency, highly scalable operational data services.</li>\n</ul>\n<ul>\n<li>Prior experience in a high-growth, category-creating environment, helping shape new plays, messaging, and customer narratives.</li>\n</ul>\n<ul>\n<li>Experience collaborating with partners and ISVs to drive joint pipeline and co-sell motions.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<p>At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. 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Act as a virtual member of CoreWeave&#39;s Storage product and engineering teams, identifying opportunities for product enhancement and collaborating with engineers to implement your suggestions.</p>\n<p>Offer valuable insights on product features, functionality, and performance, contributing regularly to discussions about product strategy and architecture. Conduct periodic technical reviews and assessments of customer workloads, pinpointing opportunities for workload optimization and suggesting suitable solutions.</p>\n<p>Stay informed of the latest developments and trends in Kubernetes, cloud computing and infrastructure, sharing your thought leadership with customers and internal stakeholders. 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Okta secures AI by building the trusted, neutral infrastructure that enables organisations to safely embrace this new era.</p>\n<p>As a Senior Product Acceleration Specialist, you will play a critical role in driving Okta&#39;s success through the deployment and implementation of new products. You will serve as a trusted advisor to our Product and Go-To-Market (GTM) Field teams and customers, empowering them to unlock the full potential of our solutions.</p>\n<p>We are looking for an experienced, enthusiastic, and hands-on technical leader who has deep experience in the Okta platform and the broader Identity industry. 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SAML 2.0, WS-Federation, OAuth, OpenID Connect, SCIM</li>\n<li>Expertise in implementing robust access control models using RBAC, ABAC, IBAC, GBAC, and SOD</li>\n<li>Proficiency in governance frameworks such as HIPAA, PCI-DSS, or GDPR</li>\n<li>Experience installing, configuring, and managing server and desktop operating systems (Windows, Linux, macOS).</li>\n<li>Proven ability to automate infrastructure using scripting (e.g., PowerShell, Python) or IaC tools (e.g., Terraform).</li>\n<li>Experience with modern Endpoint Management systems (e.g., Microsoft Intune, Jamf, VMware Workspace One).</li>\n<li>Strong foundation in networking (on-prem and cloud) and experience managing virtualized environments</li>\n</ul>\n<p>Experience Level: Senior Employment Type: Full-time Workplace Type: Hybrid Category: Engineering Industry: Technology Salary Range: Not specified Required Skills:</p>\n<ul>\n<li>Identity and Access Management</li>\n<li>Cyber Security</li>\n<li>Microsoft Active Directory</li>\n<li>SAML 2.0</li>\n<li>WS-Federation</li>\n<li>OAuth</li>\n<li>OpenID Connect</li>\n<li>SCIM</li>\n<li>RBAC</li>\n<li>ABAC</li>\n<li>IBAC</li>\n<li>GBAC</li>\n<li>SOD</li>\n<li>HIPAA</li>\n<li>PCI-DSS</li>\n<li>GDPR</li>\n<li>PowerShell</li>\n<li>Python</li>\n<li>Terraform</li>\n<li>Microsoft Intune</li>\n<li>Jamf</li>\n<li>VMware Workspace One</li>\n</ul>\n<p>Preferred Skills:</p>\n<ul>\n<li>Cloud Architectures</li>\n<li>Complex IT Landscapes</li>\n<li>Enterprise Web Technologies</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_62d39826-7f4","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Okta","sameAs":"https://www.okta.com/","logo":"https://logos.yubhub.co/okta.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/okta/jobs/7557879","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Identity and Access Management","Cyber Security","Microsoft Active Directory","SAML 2.0","WS-Federation","OAuth","OpenID Connect","SCIM","RBAC","ABAC","IBAC","GBAC","SOD","HIPAA","PCI-DSS","GDPR","PowerShell","Python","Terraform","Microsoft Intune","Jamf","VMware Workspace One"],"x-skills-preferred":["Cloud Architectures","Complex IT Landscapes","Enterprise Web Technologies"],"datePosted":"2026-04-18T15:52:25.738Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bengaluru, India"}},"employmentType":"FULL_TIME","occupationalCategory":"engineering","industry":"technology","skills":"Identity and Access Management, Cyber Security, Microsoft Active Directory, SAML 2.0, WS-Federation, OAuth, OpenID Connect, SCIM, RBAC, ABAC, IBAC, GBAC, SOD, HIPAA, PCI-DSS, GDPR, PowerShell, Python, Terraform, Microsoft Intune, Jamf, VMware Workspace One, Cloud Architectures, Complex IT Landscapes, Enterprise Web Technologies"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_47807ca3-e36"},"title":"Strategic AI/BI Account Executive","description":"<p>We are seeking a Strategic AI/BI Account Executive to help enterprise customers transform how business users interact with data. This high-impact role sits within the AI Go-To-Market team and partners closely with Enterprise Account Executives to drive adoption of Databricks AI/BI and Genie in APJ.</p>\n<p>You will help organisations move beyond static dashboards to governed, conversational, AI-powered analytics at the centre of the convergence of business intelligence, data platforms, and generative AI. Enterprise analytics is rapidly evolving from dashboards and static reporting to conversational, AI-driven decision platforms. 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or solution design experience in customer-facing roles</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_47807ca3-e36","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Databricks","sameAs":"https://databricks.com","logo":"https://logos.yubhub.co/databricks.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/databricks/jobs/8441884002","x-work-arrangement":"onsite","x-experience-level":"executive","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Enterprise sales experience in BI, analytics, data platforms, or AI/ML","Strong understanding of modern analytics architectures and data governance","Ability to sell to both technical and business stakeholders","Executive presence and experience navigating complex buying cycles","Passion for AI and the impact of GenAI on enterprise 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with modern BI platforms such as Tableau, Power BI, Looker, or ThoughtSpot, Familiarity with semantic layers, metrics stores, or governed data models, Understanding of lakehouse architectures and cloud data platforms, Exposure to GenAI, natural language interfaces, or conversational applications, Consulting or solution design experience in customer-facing roles"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_6a7d182d-c49"},"title":"Solutions Architect - Kubernetes","description":"<p>As a Solutions Architect at CoreWeave, you will play a vital role in helping customers succeed with our cloud infrastructure offerings, focusing on Kubernetes solutions within high-performance compute (HPC) environments.</p>\n<p>Your primary responsibility will be to serve as the primary technical point of contact for customers, establishing strong technical relationships and ensuring their success with CoreWeave&#39;s cloud 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workloads, pinpointing opportunities for workload optimization and suggesting suitable solutions.</p>\n<p>You will stay informed of the latest developments and trends in Kubernetes, cloud computing and infrastructure, sharing your thought leadership with customers and internal stakeholders.</p>\n<p>You will lead the prototyping and initiation of research and development efforts for emerging products and solutions, delivering prototypes and key insights for internal consumption.</p>\n<p>You will represent CoreWeave at conferences and industry events, with occasional travel as required.</p>\n<p>To be successful in this role, you will need to have a proven track record of working as a Solutions Architect, engineer, researcher, or technical account manager in cloud infrastructure, focusing on building distributed systems or HPC/cloud services, with an expertise focused on scalable Kubernetes solutions.</p>\n<p>You will also need to have fluency in cloud computing concepts, architecture, 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Architect","description":"<p>Are you looking to make a real impact and play a meaningful role in the growth of our company? As a Solutions Architect at Elastic, you will serve as a technical authority and trusted advisor to our sales team, customers, partners, and community.</p>\n<p>You will understand and solve our customer&#39;s business issues with the Elastic Stack, engage the regional Elastic community through events and programs, and enable sales through our Partners.</p>\n<p>A successful SA at Elastic will be focused on excellence; taking the initiative to improve both themselves and the team through continuous learning and questioning the status quo.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Serve as the technical point of contact for your accounts and account managers in your assigned territory.</li>\n<li>Develop a deep understanding of customers&#39; goals and objectives, and articulate how our offerings address their needs.</li>\n<li>Create and own value-based relationships at all levels in customer organisations.</li>\n<li>Actively participate in all phases of planning and execution for your territory, from initial discovery to the technical win.</li>\n<li>Develop and maintain a deep understanding of the Elastic products and solutions to demonstrate the value of our offerings in sales meetings, and at events such as meetups and conferences.</li>\n<li>Advise the sales team on effective ways of positioning Elastic products, solutions, and services.</li>\n<li>Onboard, educate, and enable our partners, and support them in sales cycles.</li>\n<li>Create collateral, contribute to programs, and collaborate with other Elasticians to meet individual client needs.</li>\n<li>Be the voice of the customer and community to communicate needs, gaps, and enhancements to our engineering and leadership teams.</li>\n<li>Deepen both your sales and technical skills through self-driven education while taking advantage of all the professional development opportunities provided by Elastic.</li>\n</ul>\n<p><strong>What You Bring Along</strong></p>\n<ul>\n<li>A track record of success in a technical presales role within the Enterprise Sector.</li>\n<li>A demonstrable ability to articulate and sell the benefits of modern platforms, software, and technologies.</li>\n<li>A real passion for being curious and a continuous learner.</li>\n<li>A history of successful customer relations where you developed an understanding of what made a difference, and devised architectures that helped meet a goal, tackle a problem, or outpace competitors.</li>\n<li>An ability to influence.</li>\n<li>The ability to inspire groups, both large and small.</li>\n<li>A willingness to travel 30% within region, as well as occasionally internationally.</li>\n</ul>\n<p><strong>Why Elastic?</strong></p>\n<p>&quot;Once I started, I was blown away to realise, what was always so obvious, everything is search. Anything you do with data involves search, every app needs search, even analytics are about search. Daily I am blown away with the types of things our users and customers are doing with search.&quot; - Director of Product, Elastic.</p>\n<p><strong>Why this team?</strong></p>\n<p>&quot;We question the status quo, debate the best ways to accomplish our goals and hold ourselves and our teams to the highest standards of performance. We take pride in our ability to understand our customers&#39; needs and make recommendations that are based on extensive global experience across multiple use cases. We learn from our mistakes and losses and celebrate our successes with an eye towards constant improvement. 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href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_92d63795-0ea","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anduril Industries","sameAs":"https://www.anduril.com/","logo":"https://logos.yubhub.co/anduril.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/andurilindustries/jobs/5111019007","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$220,000-$292,000 USD","x-skills-required":["Systems Engineering","Network Engineering","IT Infrastructure","Cloud Architectures","Hybrid Cloud Solutions","On-Premises Infrastructure","Enterprise Networking Technologies","Server Virtualization","Containerization Technologies","Operating Systems","Identity and Access Management","Single Sign-On","Multi-Factor Authentication","Scripting and Automation","Infrastructure Deployment and Management"],"x-skills-preferred":["Infrastructure-as-Code","CI/CD Pipelines","DevOps Methodologies","Data 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As a condition of employment for this position, the successful candidate must be able to submit documentation establishing U.S. Person status (e.g. a U.S. Citizen, National, Lawful Permanent Resident, Refugee, or Asylee. 22 CFR 120.15) upon hire.</li>\n<li>Must be available to work onsite at Fort Meade.</li>\n<li>Must have active Secret Clearance.</li>\n</ul>\n<p>Nice to have:</p>\n<ul>\n<li>Experience in designing and implementing security and identity management solutions to support critical systems and business programs.</li>\n<li>Experience in delivering Okta implementations for organisations.</li>\n<li>Mobile development experience preferred (iOS and Android).</li>\n</ul>\n<p>Problem Solving:</p>\n<ul>\n<li>Exhibits confidence and an extensive knowledge of emerging industry practices when solving business problems.</li>\n<li>Asks probing questions to elicit facts and clarify a situation.</li>\n<li>Identifies critical issues with ease.</li>\n<li>Engages appropriate resources to obtain information, seek suggestions and acquire assistance.</li>\n<li>Pushes creative thinking beyond the boundaries of existing industry practices and customer mindsets.</li>\n</ul>\n<p>Communication:</p>\n<ul>\n<li>Communicates with internal and external customers and all levels of management.</li>\n<li>Effectively communicate technical information to non-technical audiences.</li>\n<li>Delivers informative, well-organised presentations.</li>\n<li>Understands how to communicate difficult/sensitive information thoughtfully.</li>\n<li>Uses active listening skills to figure out and understand the customer&#39;s business goals, objectives and priorities.</li>\n</ul>\n<p>Team and Customer Interaction:</p>\n<ul>\n<li>Facilitates effective team interaction.</li>\n<li>Communicates effectively with customers to identify needs and evaluate alternative technical solutions with customers.</li>\n<li>Continually seeks opportunities to increase customer satisfaction and deepen client relationships.</li>\n<li>Manages client expectations effectively.</li>\n</ul>\n<p>Education:</p>\n<p>A Bachelor&#39;s degree (or equivalent) in Computer Science, Information Technology or related discipline required.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_4ed0ed0a-c05","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Okta","sameAs":"https://www.okta.com","logo":"https://logos.yubhub.co/okta.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/okta/jobs/7488049","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Technical consultant","Identity federation","Robust access control models","SAML 2.0","WS-Federation","OAuth","OpenID Connect","Cloud architectures","Complex enterprise on-premise IT landscapes","Software development","Java","Ruby",".Net","PHP","REST/JSON","JavaScript","JavaScript MVC frameworks","Backbone","Angular","Ember","React","Enterprise identity life cycle management processes","Typical enterprise identity life cycle management processes and standards"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:51:09.767Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Washington, DC"}},"employmentType":"FULL_TIME","occupationalCategory":"IT","industry":"Technology","skills":"Technical consultant, Identity federation, Robust access control models, SAML 2.0, WS-Federation, OAuth, OpenID Connect, Cloud architectures, Complex enterprise on-premise IT landscapes, Software development, Java, Ruby, .Net, PHP, REST/JSON, JavaScript, JavaScript MVC frameworks, Backbone, Angular, Ember, React, Enterprise identity life cycle management processes, Typical enterprise identity life cycle management processes and standards"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_58d220e6-02a"},"title":"Senior Site Reliability Engineer, Tenant Services: Geo","description":"<p>Job Title: Senior Site Reliability Engineer, Tenant Services: Geo</p>\n<p>We are looking for a skilled Senior Site Reliability Engineer to join our Tenant Services, Geo team. As a Senior Site Reliability Engineer, you will be responsible for ensuring the smooth operation of our user-facing services and production systems.</p>\n<p>About Us</p>\n<p>GitLab is the intelligent orchestration platform for DevSecOps. 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