{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/skill/deploy"},"x-facet":{"type":"skill","slug":"deploy","display":"Deploy","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_6fa63397-a74"},"title":"Internship Opportunity: Smart Mobility System Validation in Europe","description":"<p>Join a dynamic project focused on the future of intelligent mobility across Europe. This internship offers the chance to be part of an international validation campaign for smart vehicle technologies, with a strong focus on intelligent speed limit assistance systems and regulatory compliance.</p>\n<p>Over the course of the project, you will support the planning, execution, and analysis of real-world test drives across more than 20 European countries. The experience includes exposure to cutting-edge vehicle prototypes, data acquisition systems, and advanced driver assistance technologies. You will gain hands-on experience in mobility research, road safety validation, and data-driven system analysis while contributing to a large-scale European deployment.</p>\n<p>Interns will collaborate closely with the Data Science team to develop a deep understanding of how smart mobility solutions are evaluated and improved. This role is ideal for engineering or data science students with strong analytical skills, an interest in the automotive or mobility sectors, and a passion for innovative transportation technologies.</p>\n<p>Responsibilities: Support the planning, execution, and analysis of real-world test drives across more than 20 European countries. Exposure to cutting-edge vehicle prototypes, data acquisition systems, and advanced driver assistance technologies. Gain hands-on experience in mobility research, road safety validation, and data-driven system analysis while contributing to a large-scale European deployment. Collaborate closely with the Data Science team to develop a deep understanding of how smart mobility solutions are evaluated and improved.</p>\n<p>Profile: Academic background in engineering (Automotive, Mechanical, Aeronautical, etc.). Passion for automotive technology and willingness to travel across Europe for several months (approximately 2-3 months). Positive attitude, teamwork, proactive in the search for solutions and capacity for innovation Strong commitment and analytical skills. Ideal start date: within 1 month to 1-5 months. Duration: 5 to 6 months. English and Spanish languages required Driving license B</p>\n<p>It is essential to confirm with the university in advance whether the collaboration agreement allows travel abroad during those months, to more than 20 European countries.</p>\n<p>Applications that do not meet this requirement will not be accepted.</p>\n<p>If you&#39;re ready to explore the roads of Europe and contribute to shaping safer, smarter mobility systems, this is the internship for you.</p>\n<p>About AVL Iberica AVL Iberica is responsible for the Spanish, Mexican and Portuguese markets. It is formed by an international team that develops cutting-edge mobility technology in the fields of internal combustion engine, e-mobility, hydrogen, autonomous and connected driving, software and simulation, applied to all propulsion systems.</p>\n<p>We are committed to deliver excellence in the development, simulation, testing and integration of propulsion systems, with all the experience of the AVL group in a local, personalized way and with a close technical service.</p>\n<p>About AVL AVL is one of the world’s leading mobility technology companies for development, simulation and testing in the automotive industry, and beyond. We provide concepts, solutions and methodologies in fields like vehicle development and integration, e-mobility, automated and connected mobility (ADAS/AD), and software for a greener, safer, better world of mobility.</p>\n<p>Find out more: www.avl.com</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_6fa63397-a74","directApply":true,"hiringOrganization":{"@type":"Organization","name":"AVL Iberica","sameAs":"https://jobs.avl.com","logo":"https://logos.yubhub.co/jobs.avl.com.png"},"x-apply-url":"https://jobs.avl.com/job/Valencia-Internship-Opportunity-Smart-Mobility-System-Validation-in-Europe/1380119933/","x-work-arrangement":null,"x-experience-level":"entry","x-job-type":"internship","x-salary-range":null,"x-skills-required":["data acquisition systems","advanced driver assistance technologies","mobility research","road safety validation","data-driven system analysis","European deployment","Data Science","smart mobility solutions","regulatory compliance","intelligent speed limit assistance systems"],"x-skills-preferred":[],"datePosted":"2026-04-22T17:34:36.619Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Valencia"}},"employmentType":"INTERN","occupationalCategory":"Engineering","industry":"Automotive","skills":"data acquisition systems, advanced driver assistance technologies, mobility research, road safety validation, data-driven system analysis, European deployment, Data Science, smart mobility solutions, regulatory compliance, intelligent speed limit assistance systems"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_23925c0e-6a8"},"title":"Senior Account Executive – Industrial Cloud Solutions (DACH)","description":"<p>As a Senior Account Executive – Industrial Cloud Solutions (DACH), you will win customers, convince them of complex software solutions, and drive digital transformation in the industry forward. Your tasks will include:</p>\n<p>Identifying and developing key accounts in the DACH region and steering the entire sales funnel from lead to closing Generating leads and developing a sustainable pipeline through social selling, events, and CRM Negotiating and concluding complex contracts in coordination with the MHP organization Analyzing customer requirements in discovery meetings and coordinating solution finding with solution architects Strategically developing existing accounts and scaling customer projects for larger rollouts</p>\n<p>To be successful in this role, you will need:</p>\n<p>A degree in economics, industrial engineering, or computer science, as well as several years of experience (5+ years) in B2B SaaS sales with proven success in closing complex enterprise deals A passion for selling software solutions in the manufacturing industry Expertise in complex sales processes, value-based selling, and knowledge of the industrial environment and the sale of digital solutions for shift and deployment planning in the industry Your work style is structured, analytical, and solution-oriented. You work communicatively, resiliently, and maintain a clear overview even in complex situations</p>\n<p>You will start after agreement – always at the beginning of a month You will work full-time (40 hours) &amp; 30 days of vacation You will have an unlimited contract You will work in the Markets department You will speak secure German &amp; English You will have a valid work permit; we can apply for a work permit in our recruitment process if necessary The procedure takes time and affects the start date</p>\n<p>As a technology and business partner, MHP digitalizes processes and products for its customers and accompanies them in their IT transformations along the entire value chain. As a digitalization pioneer in the sectors of mobility and manufacturing, MHP transfers its expertise to various industries and is the premium partner for thought leaders on the way to a better tomorrow.</p>\n<p>Worldwide, MHP supports over 300 customers: leading corporations and innovative medium-sized companies. MHP advises both operationally and strategically and provides recognized IT and technology expertise as well as specific industry know-how. As a OneTeam, MHP acts internationally with its headquarters in Germany and subsidiaries in the USA, UK, Romania, and China.</p>\n<p>For 25 years, MHP has shaped the future together with its customers. Over 3,000 MHP employees unite the claim to excellence and sustainable success. This claim drives MHP further – today, tomorrow, and in the future.</p>\n<p>MHP: DRIVEN BY EXCELLENCE.</p>\n<p>At MHP, you will grow in an innovative and supportive environment continuously. This makes us the perfect sparring partner for your development. For both professional input and professional networking. We offer you:</p>\n<p>Appreciation. We support and appreciate colleagues as they are and celebrate our successes together. We are always happy about creativity and new impulses. Flexibility. Your working arrangement is up to you, both in terms of time and place. You have the opportunity to grow with us in tasks, knowledge, and responsibility.</p>\n<p>You can find an extensive overview of our benefits here.</p>\n<p>If you have any questions, please take a look at our FAQs on our career page.</p>\n<p>For further inquiries, please contact our recruitment team at +49 (0)7141 7856 1600.</p>\n<p>Back to search results</p>\n<p><strong>Share with your Social Media Account</strong></p>\n<p>Click on one of the following icons:</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_23925c0e-6a8","directApply":true,"hiringOrganization":{"@type":"Organization","name":"MHP","sameAs":"https://jobs.porsche.com","logo":"https://logos.yubhub.co/jobs.porsche.com.png"},"x-apply-url":"https://jobs.porsche.com/index.php?ac=jobad&id=20291","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"Competitive salary and benefits package","x-skills-required":["Sales","Software solutions","Industrial cloud solutions","Digital transformation","Complex sales processes","Value-based selling","Industrial environment","Shift and deployment planning"],"x-skills-preferred":[],"datePosted":"2026-04-22T17:28:05.329Z","employmentType":"FULL_TIME","occupationalCategory":"Sales","industry":"Technology","skills":"Sales, Software solutions, Industrial cloud solutions, Digital transformation, Complex sales processes, Value-based selling, Industrial environment, Shift and deployment planning"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_b33cbd91-bc9"},"title":"Systematic Production Support Engineer","description":"<p>We are seeking an experienced Systematic Production Support Engineer to help us scale our systematic operations and support engineering capabilities. This role directly supports portfolio management teams across Millennium, with operational excellence at the core. Our efforts are focused on delivering the highest quality returns to our investors – providing a world-class and reliable trading and technology platform is essential to this mission.</p>\n<p>As a Systematic Production Support Engineer, you will be responsible for building, developing, and maintaining a reliable, scalable, and integrated platform for trading strategy monitoring, reporting, and operations. 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This senior leadership role provides strategic and operational direction for the global organisation responsible for on-market technical support to AstraZeneca’s commercial Oral Solid Dosage (OSD) portfolio.</p>\n<p>Based in Mount Vernon, US, the position leads a high-performing team that supports OSD platform teams and senior scientific experts, ensuring robust, reliable and innovative manufacturing performance across the product lifecycle.</p>\n<p>In this role, the Senior Director Global OSD leads and develops a diverse technical organisation focused on delivering strong product and process performance for AstraZeneca’s commercial OSD portfolio. 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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. 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We are currently seeking an experienced professional to join our team in the role of Consultant Specialist.</p>\n<p>As a Consultant Specialist, you will be responsible for understanding release cycles within GPE and aligned testing associated with it. 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You&#39;ll work alongside a Data Scientist and a Data Analyst to develop a smart, dynamic, and data-driven pricing strategy. Our team uses modern tooling, including S3, Redshift, Athena, DuckDB, MLflow, SageMaker, Terraform, Docker, Jenkins, and AWS EKS.</p>\n<p>As a Senior DataOps Engineer / Software Engineer, you&#39;ll be the engineering backbone that enables our Data Scientists to move from experimentation to production. 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This high-impact role is critical to our mission of delivering the industry&#39;s leading GenAI Evaluation Suite.</p>\n<p>As a hands-on contributor to the core systems that ensure the safety, reliability, and continuous improvement of LLM-powered workflows and agents for the enterprise, you will partner with Scale&#39;s Operations team and enterprise customers to translate ambiguity into structured evaluation data. This involves guiding the creation and maintenance of gold-standard human-rated datasets and expert rubrics that anchor AI evaluation systems.</p>\n<p>Your responsibilities will also include analysing feedback and collected data to identify patterns, refine evaluation frameworks, and establish iterative improvement loops that enhance the quality and relevance of human-curated assessments. 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You should be able to think outside the box, stay current with the latest literature in AI evaluation, and be passionate about integrating novel research ideas into our workflows to build best-in-class evaluation systems.</p>\n<p>In addition to your technical expertise, you will need excellent communication and collaboration skills, as you will work closely with cross-functional teams to drive project success.</p>\n<p>If you are a motivated and detail-oriented individual with a passion for AI research and evaluation, we encourage you to apply for this exciting opportunity.</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_9a42f26c-511","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/4629589005","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$216,000-$270,000 USD","x-skills-required":["Python","PyTorch","TensorFlow","Large Language Models","Generative AI","Machine Learning","Applied Research","Evaluation Infrastructure"],"x-skills-preferred":["Advanced degree in Computer Science, Machine Learning, or a related quantitative field","Published research in leading ML or AI conferences","Experience designing, building, or deploying LLM-as-a-Judge frameworks or other automated evaluation systems","Experience collaborating with operations or external teams to define high-quality human annotator guidelines","Expertise in ML research engineering, stochastic systems, observability, or LLM-powered applications for model evaluation and analysis"],"datePosted":"2026-04-18T16:01:26.736Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA; New York, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, PyTorch, TensorFlow, Large Language Models, Generative AI, Machine Learning, Applied Research, Evaluation Infrastructure, Advanced degree in Computer Science, Machine Learning, or a related quantitative field, Published research in leading ML or AI conferences, Experience designing, building, or deploying LLM-as-a-Judge frameworks or other automated evaluation systems, Experience collaborating with operations or external teams to define high-quality human annotator guidelines, Expertise in ML research engineering, stochastic systems, observability, or LLM-powered applications for model evaluation and analysis","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_c19e39af-feb"},"title":"Full-Stack Software Engineer, (Forward Deployed), GPS","description":"<p>Scale&#39;s rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world.</p>\n<p>Our core work consists of creating custom AI applications that will impact millions of citizens, generating high-quality training data for custom LLMs, and upskilling and advisory services to spread the impact of AI.</p>\n<p>As a Full Stack Software Engineer (Forward Deployed), you&#39;ll collaborate directly with public sector counterparts to quickly build full-stack, AI applications, to solve their most pressing challenges and achieve meaningful impact for citizens.</p>\n<p>At Scale, we&#39;re not just building AI solutions,we&#39;re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Collaborate with senior engineers to implement features for public sector clients, including spending time with the client to understand user feedback and assist with delivery.</li>\n<li>Develop and maintain full-stack components that integrate with AI models, focusing on building responsive UIs and reliable backend APIs.</li>\n<li>Assist in deploying and monitoring applications within cloud environments, ensuring basic system stability and security.</li>\n<li>Help build and refine reusable features that support diverse international client use cases.</li>\n<li>Work within a multi-disciplinary team of design, product, and data specialists to build robust features that follow established technical architectures.</li>\n</ul>\n<p><strong>Ideal Candidate:</strong></p>\n<ul>\n<li>Bachelor&#39;s degree in Computer Science or a related quantitative field</li>\n<li>Professional full-stack experience with a focus on React, TypeScript, and Python/Node.js. 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As a Staff Product Manager, you will develop enterprise-grade solutions that leverage cutting-edge AI and AI agents to drive value for public sector customers. You will work with executives at Scale and our customers to determine and execute the product strategy of the business. You will own end-to-end product development by understanding customer pain points, defining product requirements, managing development, testing, and launches. You will lead cross-functional teams including engineering, product design, operations, marketing, go-to-market, and finance. You will develop a point of view and execute on turning the solutions we build into scalable software that we can commercialize across the industry. Ideally, you&#39;d have technical experience in building ML-powered and/or enterprise-facing products, a strong understanding of generative AI technologies and their applications in public or large-scale private sector settings, experience operating in a fast-paced environment with high ambiguity, exceptional leadership, presentation, and communication skills with the ability to influence cross-functional teams, data literacy, and experience with data analytics. You will maintain a Top Secret security clearance.</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. 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>For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $237,600-$297,000 USD. For pay transparency purposes, the base salary range for this full-time position in the locations of Washington DC, Texas, Colorado, Hawaii is: $213,400-$267,300 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_4c6f4642-054","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale","sameAs":"https://www.scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4612403005","x-work-arrangement":"onsite","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$237,600-$297,000 USD; $213,400-$267,300 USD","x-skills-required":["generative AI technologies","public sector AI solution","software engineering principles","ML/AI application development","Top Secret security clearance"],"x-skills-preferred":["experience building infrastructure and tooling to develop and support agentic applications","experience working in startup environments building solutions for public sector/federal customers","understanding of public/federal networks, infrastructure, and deployment constraints","TS/SCI Security Clearance"],"datePosted":"2026-04-18T15:59:39.807Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York, NY; San Francisco, CA; Washington, DC"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"generative AI technologies, public sector AI solution, software engineering principles, ML/AI application development, Top Secret security clearance, experience building infrastructure and tooling to develop and support agentic applications, experience working in startup environments building solutions for public sector/federal customers, understanding of public/federal networks, infrastructure, and deployment constraints, TS/SCI Security Clearance","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":213400,"maxValue":297000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_82adee54-ef0"},"title":"Strategic Account Executive, Retail & Commercial Banking","description":"<p>JOB DESCRIPTION:</p>\n<p>As an Account Executive focused on Retail &amp; Commercial Banking at Anthropic, you&#39;ll be part of the foundational team bringing frontier AI to the institutions that serve millions of consumers and businesses every day.</p>\n<p>You&#39;ll drive adoption of Claude across regional and national banks, credit unions, and commercial lenders,helping them transform workflows in customer service, lending operations, risk management, and branch productivity.</p>\n<p>You&#39;ll leverage consultative sales expertise and sector knowledge to secure strategic enterprise deals while becoming a trusted partner to stakeholders navigating AI deployment in highly regulated, customer-facing environments.</p>\n<p>Responsibilities</p>\n<ul>\n<li>Own the full sales cycle from prospecting through close, winning new business and driving revenue within retail and commercial banking accounts. 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Translate market intelligence into targeted account plans and campaigns.</li>\n</ul>\n<ul>\n<li>Identify and develop new use cases across banking workflows,customer support and contact centres, loan origination and underwriting, fraud detection, compliance documentation, and relationship manager enablement,collaborating cross-functionally to differentiate our offerings.</li>\n</ul>\n<ul>\n<li>Build consensus across complex stakeholder ecosystems including business line leaders, Chief Digital Officers, risk and compliance teams, and procurement.</li>\n</ul>\n<ul>\n<li>Serve as the voice of the customer internally, gathering feedback from users and conveying market needs to inform product roadmaps, security requirements, and go-to-market positioning.</li>\n</ul>\n<ul>\n<li>Contribute to the evolution of our financial services sales methodology by documenting learnings, refining playbooks, and identifying process improvements that drive productivity and consistency.</li>\n</ul>\n<p>You 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As a Software Engineer, you will redefine how engineers develop, build, test, and deploy software at Scale using AI development tools in addition to traditional practices. 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As a key contributor, you&#39;ll own and architect large-scale data processing pipelines, build ML training and fine-tuning pipelines, and develop tools and real-time systems for robotics data collection, teleoperation, model evaluation, data curation, and data annotation.</p>\n<p>In this role, you&#39;ll interact directly with robotics and AV stakeholders to understand their technical needs and drive product development. You&#39;ll also design comprehensive monitoring and evaluation frameworks for robotics models and data quality, and collaborate with ML engineers and researchers to bring robotics research into production.</p>\n<p>To succeed, you&#39;ll need at least 6 years of high-proficiency software engineering experience, with a strong background in complex systems and the ability to independently research, analyze, and unblock hard technical problems. 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We bring Claude to life by serving our models via the industry&#39;s largest compute-agnostic inference deployments. We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators.</p>\n<p>The team has a dual mandate: maximizing compute efficiency to serve our explosive customer growth, while enabling breakthrough research by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. 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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. 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You&#39;ll track and synthesise the competitive landscape for sovereign AI and national AI programs, surfacing implications for Anthropic’s positioning and commercial strategy.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Contribute to Anthropic’s international compute strategy</li>\n<li>Develop a framework for evaluating and sequencing data residency and sovereign deployment requests</li>\n<li>Identify and document international customer requirements for product localization</li>\n<li>Translate infrastructure and product capabilities into commercial propositions</li>\n<li>Serve as the internal subject matter expert on international readiness requirements</li>\n<li>Build scalable processes for capturing, triaging, and acting on international product feedback</li>\n<li>Serve as the GTM strategist for Anthropic’s mission-oriented international programs</li>\n<li>Partner with Policy, Beneficial Deployments, and Global Affairs to ensure mission programs have a viable commercial and infrastructure foundation</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>5–7 years in product, technical GTM, solutions engineering, or strategy roles with meaningful international scope</li>\n<li>Strong working knowledge of cloud infrastructure, data residency frameworks, and enterprise compliance requirements</li>\n<li>Experience working with or selling to government customers or regulated enterprises</li>\n<li>Ability to synthesise complex technical, regulatory, and geopolitical constraints into clear commercial and strategic recommendations</li>\n<li>Comfortable building internal processes from scratch</li>\n<li>High autonomy and strong written communication</li>\n<li>Direct experience with sovereign cloud programs, regulated data environments, or government AI initiatives is a plus</li>\n<li>Familiarity with EU AI Act, India DPDP Act, or similar regulatory frameworks shaping enterprise AI deployment internationally is a plus</li>\n<li>Experience at a hyperscaler, cloud provider, or enterprise SaaS company navigating international infrastructure decisions is a plus</li>\n<li>An interest in the intersection of AI, democratic governance, and responsible technology deployment is a plus</li>\n<li>Annual salary: £120,000-£170,000 GBP</li>\n</ul>\n<p>$190,000-$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_fc62d58e-581","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/5151939008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"£120,000-£170,000 GBP\n$190,000-$270,000 USD","x-skills-required":["Cloud infrastructure","Data residency frameworks","Enterprise compliance requirements","Government customers","Regulated enterprises","Complex technical, regulatory, and geopolitical constraints","Commercial and strategic recommendations","Internal processes","High autonomy","Strong written communication"],"x-skills-preferred":["Sovereign cloud programs","Regulated data environments","Government AI initiatives","EU AI Act","India DPDP Act","Hyperscalers","Cloud providers","Enterprise SaaS companies","International infrastructure decisions","AI, democratic governance, and responsible technology deployment"],"datePosted":"2026-04-18T15:59:05.480Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London, UK; San Francisco, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Cloud infrastructure, Data residency frameworks, Enterprise compliance requirements, Government customers, Regulated enterprises, Complex technical, regulatory, and geopolitical constraints, Commercial and strategic recommendations, Internal processes, High autonomy, Strong written communication, Sovereign cloud programs, Regulated data environments, Government AI initiatives, EU AI Act, India DPDP Act, Hyperscalers, Cloud providers, Enterprise SaaS companies, International infrastructure decisions, AI, democratic governance, and responsible technology deployment","baseSalary":{"@type":"MonetaryAmount","currency":"GBP","value":{"@type":"QuantitativeValue","minValue":120000,"maxValue":270000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_2717510f-5f6"},"title":"Transaction Principal","description":"<p>As a Transaction Principal for Europe at Anthropic, you&#39;ll drive the commercial sourcing and transaction execution process for our European data center capacity deals. 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As a Data Platform Solutions Architect, you will work with clients on short to medium-term customer engagements on their big data challenges using the Databricks platform. 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As a key contributor, you&#39;ll build production systems for robotics data collection, model training pipelines, and evaluation infrastructure. You&#39;ll have the opportunity to own critical parts of our robotics platform, work directly with cutting-edge robotics and AV customers, and shape the future of embodied AI systems.</p>\n<p>Your responsibilities will include:</p>\n<ul>\n<li>Owning and architecting large-scale data processing pipelines for robotics and autonomous vehicle datasets</li>\n<li>Building ML training and fine-tuning pipelines using Scale&#39;s robotics data</li>\n<li>Working across backend (Python, Node.js, C++) and frontend (React, TypeScript) stacks to build end-to-end solutions</li>\n<li>Developing tools and real-time systems for robotics data collection, teleoperation, model evaluation, data curation, and data annotation</li>\n<li>Interacting directly with robotics and AV stakeholders to understand their technical needs and drive product development</li>\n<li>Designing comprehensive monitoring and evaluation frameworks for robotics models and data quality</li>\n</ul>\n<p>Ideal candidates will have:</p>\n<ul>\n<li>3+ years of high-proficiency software engineering experience, with a strong background in complex systems and the ability to independently research, analyze, and unblock hard technical problems</li>\n<li>Strong programming skills in Python and TypeScript/Node.js for production systems</li>\n<li>Experience with React and modern frontend development for 3D interfaces</li>\n<li>Concurrent and real-time systems, with special attention to timing constraints</li>\n<li>Understanding of distributed systems, workflow orchestration, and cloud infrastructure (AWS, Temporal, Kubernetes, Docker)</li>\n<li>Experience with databases (MongoDB, PostgreSQL) and data processing at large scale</li>\n<li>Track record of working with cross-functional teams including ML engineers, researchers, and customers</li>\n<li>Strong communication skills and ability to operate with high autonomy</li>\n</ul>\n<p>Nice to have:</p>\n<ul>\n<li>Experience with C++</li>\n<li>Experience with robotics hardware platforms (robotic arms, mobile robots, perception systems) with a focus on time synchronization</li>\n<li>Background in computer vision, SLAM, motion planning, or imitation learning</li>\n<li>Familiarity with autonomous vehicle data, lidar technologies, or 3D data processing</li>\n<li>Experience with ML model deployment and serving frameworks</li>\n<li>Knowledge of teleoperation systems (ALOHA, UMI, hand tracking) or VR interfaces</li>\n<li>Experience with workflow orchestration systems (Temporal, Airflow)</li>\n<li>Published research or open-source contributions in robotics or autonomous 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_ef6605f2-fe0","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/4655050005","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Python","TypeScript","Node.js","C++","React","Distributed systems","Workflow orchestration","Cloud infrastructure","Databases","Data processing"],"x-skills-preferred":["Robotics hardware platforms","Computer vision","SLAM","Motion planning","Imitation learning","Autonomous vehicle data","Lidar technologies","3D data processing","ML model deployment","Serving frameworks","Teleoperation systems","VR interfaces","Workflow orchestration systems"],"datePosted":"2026-04-18T15:58:47.535Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mexico City, MX"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, TypeScript, Node.js, C++, React, Distributed systems, Workflow orchestration, Cloud infrastructure, Databases, Data processing, Robotics hardware platforms, Computer vision, SLAM, Motion planning, Imitation learning, Autonomous vehicle data, Lidar technologies, 3D data processing, ML model deployment, Serving frameworks, Teleoperation systems, VR interfaces, Workflow orchestration systems"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_91a17cfc-0a6"},"title":"Service Delivery Trainer","description":"<p>Secure Every Identity, from AI to Human</p>\n<p>Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organisations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.</p>\n<p>This is an opportunity to do career-defining work. We&#39;re all in on this mission. If you are too, let&#39;s talk.</p>\n<p>The Partner Enablement team at Okta is responsible for equipping our Field Team and Partners with the knowledge, tools, and resources needed to succeed. We create, deliver, and manage training programs that drive understanding and adoption of Okta’s innovative identity and access management solutions. Our mission is to empower every learner to maximise the value of Okta’s platform and services.</p>\n<p><strong>The Service Delivery Trainer Opportunity</strong></p>\n<p>Reporting to the Manager, GSI Enablement, this role will develop and deliver training programs to ensure seamless deployment and adoption of Okta solutions. The Service Delivery Trainer will leverage their technical enablement and deployment experience to provide our customers and partners with best-in-class training, enabling them to deploy Okta successfully.</p>\n<p><strong>What You’ll Be Doing</strong></p>\n<ul>\n<li>Delivering technical training sessions to GSI partners focused on deploying and managing Okta solutions.</li>\n<li>Designing, developing, and maintaining training materials, including presentations, hands-on labs, and virtual learning modules.</li>\n<li>Collaborating with cross-functional teams to ensure training aligns with product updates and best practices.</li>\n<li>Partnering with deployment teams to understand challenges and create targeted training programs to address skill gaps.</li>\n<li>Gathering feedback from learners to continuously improve training effectiveness and content quality.</li>\n<li>Managing logistics for training sessions, including scheduling, registration, and follow-up communications.</li>\n</ul>\n<p><strong>What You’ll Bring to the Role &amp; What We’re Looking For</strong></p>\n<ul>\n<li>5+ years of experience in technical enablement or training, preferably with a focus on SaaS or identity solutions.</li>\n<li>Hands-on experience deploying Okta or similar identity management solutions.</li>\n<li>Proven ability to design and deliver engaging, technically complex training programs to diverse audiences.</li>\n<li>Excellent communication and presentation skills with a knack for making technical topics accessible.</li>\n<li>Strong collaboration skills and the ability to work across multiple teams and functions.</li>\n<li>Familiarity with instructional design principles and adult learning methodologies.</li>\n</ul>\n<p><strong>Additional Experience That We Value</strong></p>\n<ul>\n<li>Okta certifications (e.g., Okta Certified Administrator, Okta Certified Professional).</li>\n<li>Experience with deployment tools and methodologies.</li>\n<li>Proficiency with virtual training platforms and e-learning development tools.</li>\n<li>Background in managing customer or partner onboarding programs.</li>\n<li>Experience working with global teams and scaling training programs internationally.</li>\n</ul>\n<p>#LI-Hybrid</p>\n<p>#P22580</p>\n<p>The Okta Experience</p>\n<ul>\n<li>Supporting Your Well-Being</li>\n<li>Driving Social Impact</li>\n<li>Developing Talent and Fostering Connection + Community</li>\n</ul>\n<p>We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.</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_91a17cfc-0a6","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/7745062","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Technical enablement or training","Okta or similar identity management solutions","Instructional design principles and adult learning methodologies","Virtual training platforms and e-learning development tools","Deployment tools and methodologies"],"x-skills-preferred":["Okta certifications","Experience with global teams and scaling training programs internationally","Background in managing customer or partner onboarding programs"],"datePosted":"2026-04-18T15:58:39.630Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bengaluru, India"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Technical enablement or training, Okta or similar identity management solutions, Instructional design principles and adult learning methodologies, Virtual training platforms and e-learning development tools, Deployment tools and methodologies, Okta certifications, Experience with global teams and scaling training programs internationally, Background in managing customer or partner onboarding programs"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_5b244f27-9fd"},"title":"Resident Solutions Architect - Communications, Media, Entertainment & Games","description":"<p>As a 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. 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. You will work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer&#39;s needs.</p>\n<p>Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.</p>\n<p>The ideal candidate will have 6+ years experience in data engineering, data platforms &amp; analytics, comfortable writing code in either Python or Scala, working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one, deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals, familiarity with CI/CD for production deployments, working knowledge of MLOps, design and deployment of performant end-to-end data architectures, experience with technical project delivery - managing scope and timelines, documentation and white-boarding skills, experience working with clients and managing conflicts, build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects.</p>\n<p>Travel to customers 20% of the time.</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_5b244f27-9fd","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/8461258002","x-work-arrangement":"hybrid","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 (AWS, Azure, GCP)","Apache Spark","CI/CD for production deployments","MLOps","end-to-end data architectures","technical project delivery","documentation and white-boarding skills","client management"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:58:34.588Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Raleigh, North Carolina"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"data engineering, data platforms & analytics, Python, Scala, Cloud ecosystems (AWS, Azure, GCP), Apache Spark, CI/CD for production deployments, 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_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. 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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 develop test executive software that can systematically and thoroughly test our products and create analytics to improve our development cycle. You will champion automation, and work to reduce operator time and instruction complexity through the use of parallel execution, data acquisition, automated deployment tools. You will be presented complex, multiplatform problems with heavy reliance on cloud data systems. In this role you’ll need to think creatively and continuously improve our methods of automation, throughput, user interfaces, and data analytics.</p>\n<p>This role will be based temporarily at Santa Ana, CA for a 3 month training period before transitioning to Asheville, OH.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Develop applications for Windows and Linux desktop environments</li>\n<li>Integrate cloud data and deployment features while maintaining user authentication and security</li>\n<li>Generate automation scripts (python) for debug and prototype development</li>\n<li>Triage issues, root cause failures, and coordinate next-steps</li>\n<li>Partner with end-users to turn needs into features while balancing user experience with engineering constraints</li>\n</ul>\n<p>Required Qualifications:</p>\n<ul>\n<li>Expertise in desktop application development with WPF and C#</li>\n<li>Proficient in ASP.NET, RESTful services with C# in AWS/Azure infrastructure</li>\n<li>Hands-on working 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Career-defining work.</strong></p>\n<p>Lots of tech companies disrupt. But, many fail when they try to scale. We&#39;re different. CockroachDB makes it easier for companies to build and scale apps. This is how and why we&#39;re helping some of the most innovative companies on the planet. We tackle problems head-on and focus on solutions that create lasting impact.</p>\n<p><strong>Because when our customers win, we all win.</strong></p>\n<p><strong>The Role</strong></p>\n<p>Our Account Executives target and close new business with some of today&#39;s most innovative companies. In this role, you&#39;ll both nurture inbound leads in your territory with marketing-led support as well as prospect into a target list of select accounts. You will do this by driving opportunities through the entire sales cycle from pipeline generation to closure, employing a value-oriented sales methodology with a focus on use cases spanning customer data and marketing activation. 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You have started building relationships with several leaders across your region and are beginning to understand their challenges and how CockroachDB can help solve them.</p>\n<p>After six months, you will have 3x your quota in pipeline and will have at least 3 POCs in process.</p>\n<p><strong>You Have</strong></p>\n<ul>\n<li>3-5+ years of experience selling enterprise solutions and demonstrated success in software sales within the database ecosystem or adjacent technologies</li>\n</ul>\n<ul>\n<li>Experience leading large and complex sales cycles within the C-Level at Fortune 500 companies, specifically within financial services</li>\n</ul>\n<ul>\n<li>A consultative and value-based approach to selling software for cloud, on-premise and hybrid deployments</li>\n</ul>\n<ul>\n<li>The ability to assess customer needs and build valuable, trusted relationships at all levels</li>\n</ul>\n<ul>\n<li>An interest and experience leveraging AI tools to improve your sales process</li>\n</ul>\n<ul>\n<li>A track record of overachievement and hitting sales targets</li>\n</ul>\n<ul>\n<li>Expert time management and resource skills</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_32b5f6f9-913","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Cockroach Labs","sameAs":"https://www.cockroachlabs.com/","logo":"https://logos.yubhub.co/cockroachlabs.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/cockroachlabs/jobs/7792866","x-work-arrangement":"onsite","x-experience-level":"executive","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Enterprise sales","Software sales","Database ecosystem","Cloud deployments","On-premise deployments","Hybrid deployments","Value-based sales","Customer needs assessment","Relationship building","AI tools","Time management","Resource skills"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:57:33.583Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London, UK"}},"employmentType":"FULL_TIME","occupationalCategory":"Sales","industry":"Technology","skills":"Enterprise sales, Software sales, Database ecosystem, Cloud deployments, On-premise deployments, Hybrid deployments, Value-based sales, Customer needs assessment, Relationship building, AI tools, Time management, Resource skills"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_769c0070-5b2"},"title":"Research Scientist, Agent Robustness","description":"<p>As a Research Scientist working on Agent Robustness, you will work on the fundamental challenges of building AI agents that are safe and aligned with humans.</p>\n<p>For example, you might:</p>\n<ul>\n<li>Research the science of AI agent capabilities with a focus on how they relate to safety, risk factors, and methodologies for benchmarking them;</li>\n<li>Design and build harnesses to test AI agents&#39; tendency to take harmful actions when pressured to do so by users or tricked into doing so by elements of their environment;</li>\n<li>Design and build exploits and mitigations for new and unique failure modes that arise as AI agents gain affordances like coding, web browsing, and computer use;</li>\n<li>Characterize and design mitigations for potential failure modes or broader risks of systems involving multiple interacting AI agents.</li>\n</ul>\n<p>Ideally you&#39;d have:</p>\n<ul>\n<li>Commitment to our mission of promoting safe, secure, and trustworthy AI deployments in the industry as frontier AI capabilities continue to advance;</li>\n<li>Practical experience conducting technical research collaboratively;</li>\n<li>Experience with post-training and RL techniques such as RLHF, DPO, GRPO, and similar approaches;</li>\n<li>A track record of published research in machine learning, particularly in generative AI;</li>\n<li>At least three years of experience addressing sophisticated ML problems, whether in a research setting or in product development;</li>\n<li>Strong written and verbal communication skills to operate in a cross-functional team.</li>\n</ul>\n<p>Nice to have:</p>\n<ul>\n<li>Hands-on experience with agent evaluation frameworks such as SWE-bench, WebArena, OSWorld, Inspect, or similar tools;</li>\n<li>Experience with red-teaming, prompt injection, or adversarial testing of AI systems.</li>\n</ul>\n<p>Our research interviews are crafted to assess candidates&#39; skills in practical ML prototyping and debugging, their grasp of research concepts, and their alignment with our organisational culture. We will not ask any LeetCode-style questions. If you&#39;re excited about advancing AI safety and contributing to our mission, we encourage you to apply, even if your experience doesn&#39;t perfectly align with every requirement.</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&#39;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 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_769c0070-5b2","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/4675684005","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$216,000-$270,000 USD","x-skills-required":["Commitment to our mission of promoting safe, secure, and trustworthy AI deployments in the industry as frontier AI capabilities continue to advance","Practical experience conducting technical research collaboratively","Experience with post-training and RL techniques such as RLHF, DPO, GRPO, and similar approaches","A track record of published research in machine learning, particularly in generative AI","At least three years of experience addressing sophisticated ML problems, whether in a research setting or in product development"],"x-skills-preferred":["Hands-on experience with agent evaluation frameworks such as SWE-bench, WebArena, OSWorld, Inspect, or similar tools","Experience with red-teaming, prompt injection, or adversarial testing of AI systems"],"datePosted":"2026-04-18T15:57:29.447Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA; New York, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Commitment to our mission of promoting safe, secure, and trustworthy AI deployments in the industry as frontier AI capabilities continue to advance, Practical experience conducting technical research collaboratively, Experience with post-training and RL techniques such as RLHF, DPO, GRPO, and similar approaches, A track record of published research in machine learning, particularly in generative AI, At least three years of experience addressing sophisticated ML problems, whether in a research setting or in product development, Hands-on experience with agent evaluation frameworks such as SWE-bench, WebArena, OSWorld, Inspect, or similar tools, Experience with red-teaming, prompt injection, or adversarial testing of AI 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_d935f4fa-322"},"title":"Engineering Manager, Forward Deployed Engineering","description":"<p><strong>Job Title</strong></p>\n<p>Engineering Manager, Forward Deployed Engineering</p>\n<p><strong>Job Description</strong></p>\n<p>We are seeking a commercially-minded engineering leader to lead our Forward Deployed Engineering (FDE) New Business team in EMEA. This role is pivotal in helping Intercom scale its AI-first platform to the world’s most complex organisations.</p>\n<p><strong>Key Responsibilities</strong></p>\n<p>As a hands-on leader, you will:</p>\n<ul>\n<li>Lead, coach, and nurture a high-performing FDE team while operating under pressure in high-stakes customer engagements.</li>\n<li>Own end-to-end outcomes through clarity in communication, speed of execution, tight coordination, and technical quality.</li>\n<li>Operate as a player-coach, actively engaging in strategic deals while developing team capabilities.</li>\n<li>Lead discovery, design, and delivery of tailored technical solutions, including PoCs, evaluations and business value assessments.</li>\n<li>Champion a customer-obsessed culture, noticing early indicators of success or failure in customer engagements and raising and correcting them with urgency.</li>\n<li>Support opportunities with technical guidance, architecture, demos, and product evaluation support, as well as sales expertise.</li>\n<li>Contribute to codifying successful deployments into reusable tools, playbooks, and inputs to the product roadmap, and create leverage for Intercom and our customers.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>3+ years of technical experience in roles such as Software Engineer, Forward Deployed Engineer, Solutions Architect, Applied AI or related technical roles.</li>\n<li>Having 2+ years of experience leading technical customer-facing teams, with a proven track record of mentoring and managing high-performing teams.</li>\n<li>Strong technical judgment and the ability to coach engineers through complex architectural trade-offs.</li>\n<li>Comfortable with a problem space that is ambiguous in nature, and capable of translating that ambiguity into clear signals for Product and Engineering and for positive customer outcomes.</li>\n<li>Ability to flex working hours to partner with global teams.</li>\n<li>Excellent communication and presentation skills.</li>\n</ul>\n<p><strong>Bonus Skills &amp; Attributes</strong></p>\n<ul>\n<li>Experience selling and deploying AI, data, or highly technical products in complex enterprise environments.</li>\n<li>Curiosity and enthusiasm for AI, with a desire to learn how ML systems are developed and operated in production.</li>\n<li>Experience hiring and managing high-performing teams.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<p>We are a well-treated bunch, with awesome benefits!</p>\n<ul>\n<li>Competitive salary and equity in a fast-growing start-up</li>\n<li>We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen</li>\n<li>Regular compensation reviews - we reward great work!</li>\n<li>Pension scheme &amp; match up to 4%</li>\n<li>Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents</li>\n<li>Flexible paid time off policy</li>\n<li>Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones</li>\n<li>If you’re cycling, we’ve got you covered on the Cycle-to-Work Scheme. 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As a key member of our team, you will support the design and development of shared platforms used across Scale. This includes designing our foundational data platforms and lifecycle, architecting Scale&#39;s core cloud infrastructure and orchestration stack, and redefining how engineers develop, build, test, and deploy software at Scale.</p>\n<p>You will drive the design, and implementation of our foundational platforms and systems, working closely with stakeholders and internal customers to understand and refine requirements. You&#39;ll collaborate with cross-functional teams to define, design, and deliver new features. You&#39;ll also proactively identify opportunities for, and drive improvements to, current programming practices, including process enhancements and tool upgrades.</p>\n<p>Ideally, you&#39;d have 3+ years of full-time engineering experience, post-graduation with specialities in back-end systems. You should have extensive experience in software development and a deep understanding of distributed systems and public cloud platforms (AWS preferred). You should show a track record of independent ownership of successful engineering projects. You should possess excellent communication and collaboration skills, and the ability to translate complex technical concepts to non-technical stakeholders.</p>\n<p>You should have experience working fluently with standard containerization &amp; deployment technologies like Kubernetes, Terraform, Docker, etc. You should have experience with orchestration platforms, such as Temporal and AWS Step Functions. You should have experience with NoSQL document databases (MongoDB) and structured databases (Postgres). You should have strong knowledge of software engineering best practices and CI/CD tooling (CircleCI).</p>\n<p>Nice to haves include experience with data warehouses (Snowflake, Firebolt) and data pipeline/ETL tools (Dagster, dbt). Experience with authentication/authorization systems (Zanzibar, Authz, etc.) is also a plus. Experience scaling products at hyper-growth startups is highly valued. Excitement to work with AI technologies is a must.</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_1869fa15-51d","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/4594879005","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$180,000-$225,000 USD","x-skills-required":["software development","distributed systems","public cloud platforms","containerization & deployment technologies","orchestration platforms","NoSQL document databases","structured databases","software engineering best practices","CI/CD tooling"],"x-skills-preferred":["data warehouses","data pipeline/ETL tools","authentication/authorization systems","scaling products at hyper-growth startups","AI technologies"],"datePosted":"2026-04-18T15:57:02.885Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA; New York, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"software development, distributed systems, public cloud platforms, containerization & deployment technologies, orchestration platforms, NoSQL document databases, structured databases, software engineering best practices, CI/CD tooling, data warehouses, data pipeline/ETL tools, authentication/authorization systems, scaling products at hyper-growth startups, AI technologies","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":180000,"maxValue":225000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_c38cbb6f-4b7"},"title":"Staff Software Engineer, Inference","description":"<p>Job Title: Staff Software Engineer, Inference\\n\\nLocation: Dublin, IE\\n\\nDepartment: Software Engineering - Infrastructure\\n\\nJob Description:\\n\\nAbout Anthropic\\n\\nAnthropic&#39;s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole.\\n\\nAbout the role:\\n\\nOur Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry&#39;s largest compute-agnostic inference deployments. We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators.\\n\\nThe team has a dual mandate: maximizing compute efficiency to serve our explosive customer growth, while enabling breakthrough research by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms.\\n\\nAs a Staff Software Engineer on our Inference team, you will work end to end, identifying and addressing key infrastructure blockers to serve Claude to millions of users while enabling breakthrough AI research. Strong candidates should have familiarity with performance optimization, distributed systems, large-scale service orchestration, and intelligent request routing. Familiarity with LLM inference optimization, batching strategies, and multi-accelerator deployments is highly encouraged but not strictly necessary.\\n\\nStrong candidates may also have experience with:\\n\\n- High-performance, large-scale distributed systems\\n\\n- Implementing and deploying machine learning systems at scale\\n\\n- Load balancing, request routing, or traffic management systems\\n\\n- LLM inference optimization, batching, and caching strategies\\n\\n- Kubernetes and cloud infrastructure (AWS, GCP)\\n\\n- Python or Rust\\n\\nYou may be a good fit if you:\\n\\n- Have significant software engineering experience, particularly with distributed systems\\n\\n- Are results-oriented, with a bias towards flexibility and impact\\n\\n- Pick up slack, even if it goes outside your job description\\n\\n- Want to learn more about machine learning systems and infrastructure\\n\\n- Thrive in environments where technical excellence directly drives both business results and research breakthroughs\\n\\n- Care about the societal impacts of your work\\n\\nRepresentative projects across the org:\\n\\n- Designing intelligent routing algorithms that optimize request distribution across thousands of accelerators\\n\\n- Autoscaling our compute fleet to dynamically match supply with demand across production, research, and experimental workloads\\n\\n- Building production-grade deployment pipelines for releasing new models to millions of users\\n\\n- Integrating new AI accelerator platforms to maintain our hardware-agnostic competitive advantage\\n\\n- Contributing to new inference features (e.g., structured sampling, prompt caching)\\n\\n- Supporting inference for new model architectures\\n\\n- Analyzing observability data to tune performance based on real-world production workloads\\n\\n- Managing multi-region deployments and geographic routing for global customers\\n\\nDeadline to apply: None. Applications will be reviewed on a rolling basis.\\n\\nThe annual compensation range for this role is listed below.\\n\\nFor sales roles, the range provided is the role’s On Target Earnings (&quot;OTE&quot;) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.\\n\\nAnnual Salary:€295.000-€355.000 EUR\\n\\nLogistics\\n\\nMinimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience\\n\\nRequired field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience\\n\\nMinimum years of experience: Years of experience required will correlate with the internal job level requirements for the position\\n\\nLocation-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.\\n\\nVisa 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.\\n\\nWe 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.\\n\\nYour 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.\\n\\nHow we&#39;re different\\n\\nWe 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.\\n\\nThe 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.\\n\\nCome work with us!\\n\\nAnthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates&#39; AI Usage: Learn about our policy for using AI in our application 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_c38cbb6f-4b7","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/5150472008","x-work-arrangement":"hybrid","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"€295.000-€355.000 EUR","x-skills-required":["performance optimization","distributed systems","large-scale service orchestration","intelligent request routing","LLM inference optimization","batching strategies","multi-accelerator deployments","Kubernetes","cloud infrastructure","Python","Rust"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:57:00.340Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Dublin, IE"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"performance optimization, distributed systems, large-scale service orchestration, intelligent request routing, LLM inference optimization, batching strategies, multi-accelerator deployments, Kubernetes, cloud infrastructure, Python, Rust"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_890da396-bd8"},"title":"Head of International - Partner Solutions Architecture, Applied AI","description":"<p>Job Title: Head of International - Partner Solutions Architecture, Applied AI</p>\n<p>Location: London, UK</p>\n<p>Department: Sales</p>\n<p>As the Manager of the International Partnerships, Applied AI, Solutions Architect team at Anthropic, you will drive the adoption of frontier AI by enabling the deployment of Anthropic&#39;s products (Claude for Enterprise, Claude Code, and API) through our Global and Regional System Integrators (GSIs/RSIs), cloud partners (AWS and GCP), and strategic technology partners across international markets.</p>\n<p>Based in London, you will lead and grow a team of Partner Solutions Architects, establishing Anthropic&#39;s technical partner ecosystem across EMEA and beyond. You&#39;ll be responsible for leading &amp; growing the International Partnerships Applied AI team, establishing processes and best practices for partner-led pre-sales engagements, helping each team member achieve success, high productivity, and career growth, and representing Anthropic as a technical lead on some of its most important international partnerships.</p>\n<p>In collaboration with the Sales, Partnerships, Product, and Engineering teams, you&#39;ll help partners incorporate leading-edge AI systems into their practices, solutions, and customer engagements. You will employ your excellent communication skills to explain and demonstrate complex solutions persuasively to technical and non-technical audiences alike.</p>\n<p>You will play a critical role in identifying opportunities to accelerate indirect revenue, enable partner AI practices, and execute on long-term international GTM strategy, while maintaining our best-in-class safety standards.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Team Leadership &amp; Development: Manage and mentor a team of Applied AI, Partner Solutions Architects, providing both technical guidance and career development. Set goals and reviews for your team, promoting growth and output</li>\n</ul>\n<ul>\n<li>Strategic Technical Partnership: Serve as the senior technical thought partner to the Anthropic international GTM partnerships team, providing technical expertise to better understand the partner landscape, driving key strategic programs, and identifying opportunities to deepen partner technical capabilities across international markets</li>\n</ul>\n<ul>\n<li>Partner Ecosystem Enablement: Embed your team 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: Lead your team in collaborating with partners to identify high-value industry-specific GenAI applications, develop joint solutions, and codify reference architectures / best practices to accelerate time to deployment across international markets</li>\n</ul>\n<ul>\n<li>Customer Deal Support: Own the technical portions of partner-led pre-sales engagements, ensuring your team intervenes 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 international partner events such as GSI customer workshops, AWS summits, and industry conferences. Lead or support partner-specific developer events, hackathons, and technical enablement sessions</li>\n</ul>\n<ul>\n<li>Cross-Functional Collaboration: Drive collaboration from cross-functional teams to influence and unify stakeholders at all levels of the organization to drive business outcomes. Partner closely with your aligned GTM leadership to co-build international partner strategies</li>\n</ul>\n<ul>\n<li>Product Feedback: Validate and gather feedback on Anthropic&#39;s products and offerings, especially as they relate to international partner use cases and deployment patterns, and deliver this feedback to relevant Anthropic teams to inform product roadmap and partner strategy</li>\n</ul>\n<ul>\n<li>Thought Leadership: Contribute to thought leadership through conference presentations, webinars, and technical content creation focused on the international partner ecosystem</li>\n</ul>\n<p>You may be a good fit if you:</p>\n<ul>\n<li>7+ 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>5+ years of technical go-to-market management experience, specifically managing pre-sales or partner-facing technical teams across EMEA, APAC, and other international regions.</li>\n</ul>\n<ul>\n<li>Track record of successfully building and scaling partnerships with GSIs (e.g., Accenture, Deloitte, WPP, TCS, Infosys) and/or cloud providers (AWS, GCP) to solve complex technical challenges across international markets</li>\n</ul>\n<ul>\n<li>Experience with the unique dynamics of partner-led selling and delivery, including indirect revenue models and partner enablement at scale</li>\n</ul>\n<ul>\n<li>Deep technical proficiency with enterprise AI deployments, API integrations, and production LLM use cases</li>\n</ul>\n<ul>\n<li>Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders including C-suite executives, engineering &amp; 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We look forward to hearing from you!</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_32c0c69a-037","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/5150472008","x-work-arrangement":"hybrid","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"€295.000-€355.000 EUR","x-skills-required":["performance optimization","distributed systems","large-scale service orchestration","intelligent request routing","LLM inference optimization","batching strategies","multi-accelerator deployments","Kubernetes","cloud infrastructure","Python","Rust"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:56:14.384Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Dublin, IE"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"performance optimization, distributed systems, large-scale service orchestration, intelligent request routing, LLM inference optimization, batching strategies, multi-accelerator deployments, Kubernetes, cloud infrastructure, Python, Rust"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_34601aa9-464"},"title":"Technical Business Development (Model Labs)","description":"<p>As a Technical Business Development (Model Labs) at fal, you will work directly with our partner companies, particularly Model Labs, focused on driving successful Model Launches, Infrastructure development, and Program Management. 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The future of work is here, and it&#39;s at Cresta.</p>\n<p>At Cresta, shipping AI is only half the story. Ensuring that AI interacts with humans reliably, accurately, and empathetically at scale is where the real challenge lies. As the QA Lead, AI Agent, you will be the ultimate guardian of the customer experience for our AI Agent product line. This role is perfect for a strategic quality expert who loves the intersection of human psychology and machine logic.</p>\n<p>You will own the end-to-end quality strategy, from designing complex test plans for non-deterministic LLMs to building automated and scalable testing environments using Cresta&#39;s proprietary no-code test and evaluation tools. You aren&#39;t just looking for bugs; you are building the framework that allows Cresta to deploy world-class AI agents for the world&#39;s largest enterprises with total confidence.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Architect &amp; Scale AI Evaluation Systems: Design and oversee the end-to-end framework for testing AI agent systems at scale. You will leverage LLM-driven methodologies,including automated simulations, &quot;LLM-on-LLM&quot; rubrics, and adversarial red-teaming,to ensure reliability, policy adherence, and logic across complex, multi-turn conversational flows.</li>\n</ul>\n<ul>\n<li>Drive Deployment Excellence: Partner with Forward Deployed Engineers and PMs to triage issues, identify bottlenecks, and create new test cases on the fly to address real-world deployment challenges.</li>\n</ul>\n<ul>\n<li>Be the Customer’s Voice: Conduct manual UAT and voice-call testing to represent the end-customer experience. 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This role owns end-to-end data products - from problem framing and modeling to deployment and operational integration - that directly influence how our GTM organization prioritizes leads, manages accounts, allocates resources, and drives revenue.</p>\n<p>You’ll work closely with Marketing, Sales, and RevOps leadership to build ML-powered systems that change how decisions are made at scale.</p>\n<p><strong>What will I be doing?</strong></p>\n<ul>\n<li>Build Revenue-Impacting ML Systems</li>\n<li>Develop, deploy, optimize predictive models (lead scoring, account prioritization, marketing attribution, revenue estimation)</li>\n<li>Productionize models into operational systems (Salesforce, Marketo, outbound workflows)</li>\n<li>Monitor model performance and iterate for measurable business lift</li>\n<li>Design and implement experimentation frameworks (A/B testing, holdouts, incremental lift measurement)</li>\n<li>Apply advanced techniques when appropriate (e.g., causal inference, uplift modeling, segmentation, LTV modeling)</li>\n</ul>\n<p>You don’t just build models - you ensure they change behavior.</p>\n<p><strong>Own End-to-End Data Products</strong></p>\n<ul>\n<li>Translate ambiguous business problems into clear, measurable objectives</li>\n<li>Define GTM data products vision, success metrics, and roadmap</li>\n<li>Ensure integration into existing workflows and systems</li>\n<li>Lead stakeholder alignment and change management</li>\n<li>Secure buy-in from system owners before replacing or enhancing existing solutions</li>\n</ul>\n<p>You operate as a mini GM for your data products.</p>\n<p><strong>Architect Scalable Data Foundations</strong></p>\n<ul>\n<li>Design robust data pipelines and modeling infrastructure in collaboration with Data Engineering / Data Infrastructure</li>\n<li>Ensure data quality, governance, and reproducibility</li>\n<li>Elevate the team’s standards for experimentation, documentation, and knowledge sharing</li>\n<li>Push adoption of new tools and AI capabilities where appropriate</li>\n</ul>\n<p>You raise the technical bar for the GTM organization.</p>\n<p><strong>What impact might I have?</strong></p>\n<p>Within 6-12 months, you might:</p>\n<ul>\n<li>Launch predictive models that materially improve conversion, expansion, or retention</li>\n<li>Reduce inefficiencies in Sales workflows through automation</li>\n<li>Help leadership make investment decisions backed by rigorous data science</li>\n<li>Influence GTM strategy through quantitative insight and modeling</li>\n</ul>\n<p>Success is measured in business outcomes - not dashboards built.</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_27ecbf0a-523","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Intercom","sameAs":"https://www.intercom.com/","logo":"https://logos.yubhub.co/intercom.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/intercom/jobs/7652268","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$197,600 - $246,713","x-skills-required":["Expert-level SQL","Advanced Python or R for modeling and experimentation","Strong foundation in statistics and experimental design","Predictive modeling","Feature engineering"],"x-skills-preferred":["Causal inference or uplift modeling","Model deployment & monitoring"],"datePosted":"2026-04-18T15:55:52.628Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Expert-level SQL, Advanced Python or R for modeling and experimentation, Strong foundation in statistics and experimental design, Predictive modeling, Feature engineering, Causal inference or uplift modeling, Model deployment & monitoring","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":197600,"maxValue":246713,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_674fd864-f88"},"title":"Infrastructure Services Engineer","description":"<p>About Us</p>\n<p>At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies.</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. As a result, they see significant improvement in performance and a decrease in spam and other attacks.</p>\n<p>Role Summary</p>\n<p>The Infrastructure Services Engineer is a foundational execution role within Cloudflare’s Integrated Hardware Systems team, supporting the delivery of outsourced data center and infrastructure services that enable global hardware deployments at scale. This role focuses on day-to-day service execution, delivery tracking, and operational follow-through across Cloudflare’s data center footprint.</p>\n<p>Role Responsibilities</p>\n<ul>\n<li>Support the execution and oversight of outsourced data center and infrastructure services supporting hardware deployment and lifecycle operations.</li>\n<li>Track service delivery related to rack installation, deployment support, remote hands, and in-data-center activities, ensuring work is completed to defined expectations.</li>\n<li>Identify delivery risks, service gaps, and recurring issues, escalating concerns and supporting resolution as needed.</li>\n<li>Analyze service performance, deployment trends, and vendor metrics to support operational insight and reporting.</li>\n<li>Maintain dashboards, trackers, and recurring operational reports used to monitor execution and service health.</li>\n<li>Support service reviews, readiness assessments, and onboarding activities for new sites and deployment waves.</li>\n<li>Serve as an operational liaison between Integrated Hardware Systems, Infrastructure Operations, Engineering, Procurement, and external service vendors to ensure clarity on responsibilities, handoffs, and escalation paths.</li>\n</ul>\n<p>Role Requirements</p>\n<p>Must-Have Skills</p>\n<p>Experience supporting infrastructure operations, data center services, or hardware deployment activities. Familiarity with data center environments, rack-level hardware, or infrastructure build-out processes. Strong analytical skills with experience using spreadsheets, dashboards, or trackers to monitor execution and performance. Comfort working with operational metrics, SLAs, and service indicators. Clear written and verbal communication skills, with the ability to coordinate across teams and with external vendors. Strong sense of ownership, follow-through, and accountability in execution-heavy environments. Ability to operate effectively in fast-moving, operationally complex settings.</p>\n<p>Nice-to-Have Skills</p>\n<p>Experience working with outsourced service providers or vendor-managed operational models. Exposure to large-scale infrastructure deployments or global data center operations. Familiarity with service reviews, vendor evaluations, or commercial performance tracking.</p>\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. 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. 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. All qualified applicants will be considered for employment without regard to their, or any other person&#39;s, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law.</p>\n<p>We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.</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_674fd864-f88","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/7540934","x-work-arrangement":"hybrid","x-experience-level":null,"x-job-type":"full-time","x-salary-range":null,"x-skills-required":["infrastructure operations","data center services","hardware deployment activities","data center environments","rack-level hardware","infrastructure build-out processes","analytical skills","spreadsheets","dashboards","trackers","operational metrics","SLAs","service indicators","written communication skills","verbal communication skills","coordination across teams","external vendors","ownership","follow-through","accountability","fast-moving","operationally complex settings"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:55:51.372Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Hybrid"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"infrastructure operations, data center services, hardware deployment activities, data center environments, rack-level hardware, infrastructure build-out processes, analytical skills, spreadsheets, dashboards, trackers, operational metrics, SLAs, service indicators, written communication skills, verbal communication skills, coordination across teams, external vendors, ownership, follow-through, accountability, fast-moving, operationally complex settings"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_9d736b69-aba"},"title":"Solutions Architect, Applied AI (Startups)","description":"<p><strong>About the role</strong></p>\n<p>As a Solutions Architect on the Startups Applied AI team at Anthropic, you will win the trust of founders and engineers by being an exceptional technical partner, helping startups successfully build on the Claude Developer Platform as they grow from early product to scale.</p>\n<p>You&#39;ll combine deep technical expertise with a builder-first mindset to help startups architect innovative LLM solutions, win technical evaluations, and get the most out of Claude.</p>\n<p>Working closely with Account Executives and the broader Sales, Product, and Engineering teams, you&#39;ll guide startups from initial technical discovery through successful deployment and beyond.</p>\n<p>You&#39;ll leverage your expertise to help founders understand Claude&#39;s capabilities, develop evals, and design architectures that maximize the value of our AI systems.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Partner with Account Executives to deeply understand startup requirements, translate them into technical solutions, and serve as a trusted technical advisor throughout the Claude adoption journey from initial evaluation through deployment and expansion</li>\n</ul>\n<ul>\n<li>Win technical evaluations that demonstrate why Claude is the best foundation for what startups are building, helping them develop evaluation frameworks to measure Claude&#39;s performance for their specific use cases</li>\n</ul>\n<ul>\n<li>Build technical credibility with founders, founding engineers, and startup engineering teams by speaking their language, understanding their build patterns, and guiding technical architecture decisions</li>\n</ul>\n<ul>\n<li>Gather insights on how startups are building with Claude, identify emerging use cases and deployment patterns, and deliver feedback to Product and Engineering teams</li>\n</ul>\n<ul>\n<li>Travel to customer sites, startup-focused events, and industry conferences for workshops, technical deep dives, and relationship building</li>\n</ul>\n<p><strong>Requirements:</strong></p>\n<ul>\n<li>3+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, Forward Deployed Engineer, or technical founder who has done founder-led sales</li>\n</ul>\n<ul>\n<li>Experience working with startups or high-growth technology companies; you understand the velocity and constraints of early-stage companies</li>\n</ul>\n<ul>\n<li>Strong builder credibility through experience as a software engineer or technical founder; you speak the language of builders and have the presence to earn the trust of technical founders and startup engineering teams</li>\n</ul>\n<ul>\n<li>Deep technical proficiency with building and scaling AI products, a pulse on AI engineering best practices, and the ability to demonstrate why Claude is the best foundation</li>\n</ul>\n<ul>\n<li>Hands-on experience building and deploying LLM-powered applications in production, with expertise in context engineering, evaluation frameworks, and modern AI architectures</li>\n</ul>\n<ul>\n<li>Strong technical communication skills with the ability to translate complex AI concepts into actionable insights for founders and engineering teams</li>\n</ul>\n<ul>\n<li>Track record of selling technical products in competitive markets</li>\n</ul>\n<ul>\n<li>Comfortable with Python and familiarity with common LLM frameworks, tools, and integration patterns</li>\n</ul>\n<ul>\n<li>Passion for making powerful technology safe and societally beneficial</li>\n</ul>\n<p><strong>Benefits:</strong></p>\n<ul>\n<li>Annual Salary: $240,000-$315,000 USD</li>\n</ul>\n<ul>\n<li>Competitive compensation and benefits</li>\n</ul>\n<ul>\n<li>Optional equity donation matching</li>\n</ul>\n<ul>\n<li>Generous vacation and parental leave</li>\n</ul>\n<ul>\n<li>Flexible working hours</li>\n</ul>\n<ul>\n<li>Lovely office space in which to collaborate with colleagues</li>\n</ul>\n<p><strong>Location:</strong></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. 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As a key member of the Brand Experience team, you&#39;ll be responsible for managing all aspects of Scale&#39;s digital presence, including the company&#39;s front door scale.com. This role sits at the intersection of brand, engineering, marketing, and design.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Leading the team: owning the web roadmap, prioritizing and communicating clearly, and managing a lean team of web developers and designers</li>\n<li>Managing quality and reliability: owning the quality of everything that ships, designing and running planning around urgent issues, and building systems to keep marketing sites secure, performant, and compliant</li>\n<li>Managing our stack: overseeing Scale&#39;s integrations on web properties, managing relationships with web vendors, internal security, and IT teams, and regularly auditing the AI tooling</li>\n</ul>\n<p>Ideal candidate will have:</p>\n<ul>\n<li>4+ years in web management, digital operations, or a related field, including direct people management</li>\n<li>Technical fluency: comfortable in conversations about architecture, deployment pipelines, or front-end frameworks</li>\n<li>Experience managing AI integrations or APIs: genuine curiosity about how the underlying models work</li>\n<li>Operational instinct: keeps clean documentation, runs tight sprint cycles, and treats QA as a feature</li>\n<li>Calm under pressure: steadies the team when something breaks</li>\n<li>Ambitious and meticulous: motivated by achieving broader business results, and sweats the small details that compound over time into a reputation for quality</li>\n</ul>\n<p>Please note that our policy requires a 90-day waiting period before reconsidering candidates for the same role.</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_8bd772e4-c1c","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/4676261005","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["web management","digital operations","AI integrations","APIs","front-end frameworks","architecture","deployment pipelines","QA","technical leadership"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:55:43.784Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA; New York, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"web management, digital operations, AI integrations, APIs, front-end frameworks, architecture, deployment pipelines, QA, technical leadership"},{"@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; bootstrap hands-on projects which leads to a customers&#39; successful understanding, evaluation and adoption of Databricks.</li>\n<li>Provide an escalated level of support for customer operational issues.</li>\n<li>Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer&#39;s needs.</li>\n<li>Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.</li>\n</ul>\n<p>What we look for:</p>\n<ul>\n<li>9+ years experience in data engineering, data platforms &amp; analytics</li>\n<li>Comfortable writing code in either Python or Scala</li>\n<li>Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one</li>\n<li>Deep experience with distributed computing with Apache Spark™ and knowledge of Apache Spark™ runtime internals</li>\n<li>Familiarity with CI/CD for production deployments</li>\n<li>Working knowledge of MLOps</li>\n<li>Capable of design and deployment of highly performant end-to-end data architectures</li>\n<li>Experience with technical project delivery - managing scope and timelines.</li>\n<li>Documentation and white-boarding skills.</li>\n<li>Experience working with clients and managing conflicts.</li>\n<li>Experience in building scalable streaming and batch solutions using cloud-native components</li>\n<li>Travel to customers up to 20% of the time</li>\n</ul>\n<p>Nice to have: Databricks Certification</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_0036f074-845","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/8456966002","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 platforms & analytics","Python","Scala","Cloud ecosystems (AWS, Azure, GCP)","Apache Spark","CI/CD for production deployments","MLOps","design and deployment of highly performant end-to-end data architectures","technical project delivery","documentation and white-boarding skills","client management"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:55:41.870Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Boston, Massachusetts"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"data engineering, data platforms & analytics, Python, Scala, Cloud ecosystems (AWS, Azure, GCP), Apache Spark, CI/CD for production deployments, MLOps, design and deployment of highly 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_def0922c-823"},"title":"Materials Manager, Warehouse (Technical Hardware)","description":"<p>As a Materials Manager, you will create a strategic plan to optimise warehouse operations, create a standard set of metrics to monitor team performance, set goals for improving performance, and identify areas to reduce cost while maintaining quality.</p>\n<p>The right person for this role has extensive supply chain knowledge, has developed SOPs and implemented them, has implemented or improved ERP/WMS, and has a track record of managing expensive inventory.</p>\n<p>Key responsibilities include:</p>\n<p>Developing and implementing material management strategies, policies, and procedures to comply with regulations. Hiring and training talent who can manage material flow per Anduril guidelines. Developing processes that increase the efficiency and effectiveness of Anduril materials management. Implementing necessary systems that match Anduril Federal policies on management of government property and inventory management. Implementing end-to-end material management measures, including FIFO adherence, material variances, cycle time optimisation, scrap/obsolescence management, cycle/physical counting, and audits, etc., to ensure inventory accuracy and to mitigate stockouts or overstocking. Collaborating with cross-functional teams, including procurement, production, manufacturing engineering, logistics, and quality, to aid in accurate demand forecasting, procurement planning, and timely delivery of materials. Collaborating with production planning and manufacturing teams to align material availability with production schedules, minimise disruptions, and meet customer demand on time. 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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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We seek individuals who embody our core traits: Scrappy, Curious, Optimistic, Persistent, and Empathetic.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Contribute to the architecture of the billing platform to help it scale and support rapid growth in the Dialpad customer base.</li>\n<li>Build reusable, well-defined APIs that are consumed in product code.</li>\n<li>Monitor for performance and accuracy of how we bill our customers.</li>\n<li>Build automated tools to enable our customers and support teams to perform self-service billing operations.</li>\n<li>Collaborate and cooperate with other engineers and product managers in design and code reviews, and translate business requirements into pragmatic technical solutions while discussing and navigating tradeoffs.</li>\n<li>Identify classes of problems across the system and come up with solutions in the form of a long-term engineering roadmap.</li>\n<li>Mentor new hires to help the team grow.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>Inquisitiveness and a background with critical stable systems of scale.</li>\n<li>Experienced with real-time debugging and outages, and have built backend data models that have high performance requirements.</li>\n<li>Bachelor&#39;s degree in Computer Science or equivalent practical experience.</li>\n<li>Demonstrated experience with 2+ large production backend systems at scale: designing, building, launching, and maintaining.</li>\n<li>Deep experience with cloud-deployed solutions.</li>\n<li>Strong backend programming experience whether with Python, Java, C#, Node.js, Ruby, etc.</li>\n<li>Experience designing backends based on microservices architecture.</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_e80c5d4c-2d6","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Dialpad","sameAs":"https://dialpad.com","logo":"https://logos.yubhub.co/dialpad.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/dialpad/jobs/8435279002","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["backend programming","API design","microservices architecture","cloud-deployed solutions","database modeling","debugging","code reviews"],"x-skills-preferred":["Python","Java","C#","Node.js","Ruby","agile development","continuous integration"],"datePosted":"2026-04-18T15:54:11.221Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Buenos Aires, Argentina"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"backend programming, API design, microservices architecture, cloud-deployed solutions, database modeling, debugging, code reviews, Python, Java, C#, Node.js, Ruby, agile development, continuous integration"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_bf6a8614-973"},"title":"Events Manager, GenAI","description":"<p>We&#39;re looking for a talented Events Manager to join our Events and Experiences team supporting the GenAI Unit. 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Establish meaningful quality metrics (crash analytics, defect trends, flaky tests, API reliability, release risk scoring) and surface actionable insights to engineering stakeholders.</p>\n<p>Champion shift-left quality by influencing design reviews, API schema discussions, and acceptance criteria early in development.</p>\n<p><strong>AI-Driven Quality and Automation</strong></p>\n<p>Leverage AI to enhance mobile, backend, and web testing effectiveness, including:</p>\n<ul>\n<li>AI-assisted test case and test data generation</li>\n<li>Intelligent regression suite prioritization based on code changes</li>\n<li>Predictive defect detection and risk-based testing</li>\n<li>Flaky test detection and automated stabilization insights</li>\n</ul>\n<p>Integrate AI-powered log intelligence, crash clustering, and anomaly detection into quality workflows. 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Work effectively with globally distributed teams to coordinate testing across time zones.</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_307c2f1c-d78","directApply":true,"hiringOrganization":{"@type":"Organization","name":"EarnIn","sameAs":"https://www.earnin.com/","logo":"https://logos.yubhub.co/earnin.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/earnin/jobs/7403324","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$210,000 to $257,000.Minus equity and benefits","x-skills-required":["XCUITest","Espresso","Appium","Playwright","REST Assured","API contracts","Feature flags","Deterministic state management","AI-assisted test case and test data generation","Intelligent regression suite prioritization","Predictive defect detection","Risk-based testing","Flaky test detection","Automated stabilization insights","Log intelligence","Crash clustering","Anomaly detection","CI/CD pipelines","Pre-merge quality gates","Parallelized execution","Environment-aware test runs","Post-deployment smoke and regression coverage","Self-service test execution","Real-time reporting and dashboards","Faster debugging and failure triage","Scalable test data and environment management"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:53:59.311Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View, US"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"XCUITest, Espresso, Appium, Playwright, REST Assured, API contracts, Feature flags, Deterministic state management, AI-assisted test case and test data generation, Intelligent regression suite prioritization, Predictive defect detection, Risk-based testing, Flaky test detection, Automated stabilization insights, Log intelligence, Crash clustering, Anomaly detection, CI/CD pipelines, Pre-merge quality gates, Parallelized execution, Environment-aware test runs, Post-deployment smoke and regression coverage, Self-service test execution, Real-time reporting and dashboards, Faster debugging and failure triage, Scalable test data and environment management","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":210000,"maxValue":257000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_dbb4a6c8-3d9"},"title":"Manager, Applied AI Solutions Architecture - Partnerships","description":"<p>As the Manager of the Partnerships Applied AI Solutions Architect team, you will drive adoption of frontier AI by enabling deployment of Anthropic&#39;s products (Claude for Enterprise, Claude Code, API) through our Global and Regional System Integrators, cloud partners (AWS, GCP, Azure), and strategic technology partners.</p>\n<p>You will build and lead a team of Partner Solutions Architects, establish processes and best practices for partner-led pre-sales engagements, and represent Anthropic as the technical lead on its most important partnerships. In collaboration with Sales, Partnerships, Product, and Engineering, you will help partners incorporate leading-edge AI into their practices, accelerate indirect revenue, and execute long-term GTM strategy while maintaining our best-in-class safety standards.</p>\n<p>Responsibilities:</p>\n<p>Team Leadership &amp; Development: Hire, manage, and mentor a team of Partner Solutions Architects. Set goals, run reviews, and coach each team member toward high productivity and career growth.</p>\n<p>Strategic Technical Partnership: Act as the senior technical thought partner to Anthropic&#39;s GTM partnerships team. Co-build partner strategy with aligned GTM leadership, drive key programs, and align cross-functional stakeholders (Sales, Product, Engineering) behind partner outcomes.</p>\n<p>Partner Enablement &amp; Ecosystem: Embed your team with GSI and cloud partner technical teams to enable their AI practices, troubleshoot, and evangelize Anthropic in their developer communities. Represent Anthropic at partner events (GSI workshops, AWS/GCP summits, hackathons) and contribute technical content and thought leadership.</p>\n<p>Joint Solution Development: Lead partners in identifying high-value, industry-specific GenAI applications. Develop joint solutions and codify reference architectures and best practices to accelerate time to deployment.</p>\n<p>Customer Deal Support: Own the technical portion of partner-led pre-sales engagements. Intervene directly on strategic deals where partners are the primary delivery vehicle, providing deep solution architecture guidance.</p>\n<p>Product Feedback: Gather and validate feedback on Anthropic&#39;s products from partner deployments and deliver it to Product and Engineering to inform roadmap and partner strategy.</p>\n<p>You may be a good fit if you have:</p>\n<p>7+ years in technical customer-facing or partner-facing roles (Solutions Architect, Sales Engineer, Partner SE, TAM).</p>\n<p>3+ years managing pre-sales or partner-facing technical teams; comfortable building foundational teams in ambiguous, fast-moving environments.</p>\n<p>Track record building and scaling partnerships with GSIs (e.g., Accenture, Deloitte, TCS, Infosys) and/or cloud providers (AWS, GCP, Azure).</p>\n<p>Deep understanding of partner-led selling and delivery: indirect revenue models, enablement at scale, and joint GTM motions.</p>\n<p>Technical depth in enterprise AI deployments: LLM architecture, prompt engineering, evaluation, API integrations, and production use cases.</p>\n<p>Exceptional communication and executive presence; able to build trusted relationships with C-suite, partner leadership, and engineering teams alike.</p>\n<p>A love of teaching and mentoring, and a passion for advancing safe, beneficial AI.</p>\n<p>Strong candidates may also have:</p>\n<p>5+ years leading partner-facing SA teams through hypergrowth, including developing both senior and junior talent.</p>\n<p>Direct experience helping GSIs or consultancies build their AI/ML practice - enablement programs, certification paths, joint solution development.</p>\n<p>The annual compensation range for this role is $315,000-$380,000 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_dbb4a6c8-3d9","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/5173031008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$315,000-$380,000 USD","x-skills-required":["Technical customer-facing or partner-facing roles","Pre-sales or partner-facing technical teams management","Partnership building and scaling","Partner-led selling and delivery","Enterprise AI deployments"],"x-skills-preferred":["LLM architecture","Prompt engineering","API integrations","Production use cases"],"datePosted":"2026-04-18T15:53:59.200Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY | Seattle, WA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Technical customer-facing or partner-facing roles, Pre-sales or partner-facing technical teams management, Partnership building and scaling, Partner-led selling and delivery, Enterprise AI deployments, LLM architecture, Prompt engineering, API integrations, Production use cases","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":315000,"maxValue":380000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_3c13f93e-7f3"},"title":"Forward Deployed Product Manager, AI Agent","description":"<p>Join us on this thrilling journey to revolutionize the workforce with AI. The future of work is here, and it&#39;s at Cresta.</p>\n<p>As a Forward Deployed Product Manager, AI Agent, you will create, deploy and optimize AI Agents that transform our customers&#39; businesses and delight their customers. This highly cross-functional and customer-facing role blends product thinking, a nose for value, and project leadership with senior customer executives.</p>\n<p>At the end of the day, you own each AI Agent and the outcomes they drive for our customers, and you take that personally. You are a creative, pragmatic problem solver who thrives in fast-paced environments, rolls up your sleeves to build, and excels at turning ambiguity into execution.</p>\n<p>In this role, you’ll partner with Forward Deployed Engineers (FDEs) who will support the build, integrations and optimization to make the AI Agent product successful. 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Help prospects and customers move faster to ensure we can deliver quickly and effectively.</li>\n</ul>\n<ul>\n<li>Facilitate workshops and design sessions with customer stakeholders to align on agent use cases, workflows, and success criteria while gathering feedback to improve the AI agent platform</li>\n</ul>\n<ul>\n<li>Work closely with FDEs to ensure smooth implementation, build new capabilities as needed and provide feedback and improvements to our broader platform</li>\n</ul>\n<ul>\n<li>Improve our playbooks for agent development and customer deployment</li>\n</ul>\n<p>What We’re Looking For:</p>\n<ul>\n<li>5+ years of experience in Technology Consulting, Implementations, Product, or Customer Success roles, ideally working closely with AI or LLM first products</li>\n</ul>\n<ul>\n<li>Hands-on work style – curiosity with a bias for action. You anticipate needs and bottlenecks and deliver with urgency and care.</li>\n</ul>\n<ul>\n<li>Experience leading complex deployments, owning customer relationships (including senior customer stakeholders), and working cross-functionally</li>\n</ul>\n<ul>\n<li>Strong technical understanding, systems thinking and exposure to building Agents (not necessarily conversational, personal projects count!)</li>\n</ul>\n<ul>\n<li>Comfortable working with ambiguity and learning quickly in a dynamic startup environment</li>\n</ul>\n<ul>\n<li>Passion for AI, automation, and shaping the future of customer experience</li>\n</ul>\n<p>Bonus Points:</p>\n<ul>\n<li>Background in product management, conversation design or forward deployed engineering roles</li>\n</ul>\n<ul>\n<li>Experience in a startup or high-growth SaaS environment</li>\n</ul>\n<ul>\n<li>Familiarity with customer support and contact center operations</li>\n</ul>\n<p>Perks &amp; Benefits:</p>\n<p>We offer a comprehensive and people-first benefits package to support you at work and in life:</p>\n<ul>\n<li>Comprehensive medical, dental, and vision coverage with plans to fit you and your family</li>\n</ul>\n<ul>\n<li>Flexible PTO to take the time you need, when you need it</li>\n</ul>\n<ul>\n<li>Paid parental leave for all new parents welcoming a new child</li>\n</ul>\n<ul>\n<li>Retirement savings plan to help you plan for the future</li>\n</ul>\n<ul>\n<li>Remote work setup budget to help you create a productive home office</li>\n</ul>\n<ul>\n<li>Monthly wellness and communication stipend to keep you connected and balanced</li>\n</ul>\n<ul>\n<li>In-office meal program and commuter benefits provided for onsite employees</li>\n</ul>\n<p>Compensation at Cresta</p>\n<p>Cresta’s approach to compensation is simple: recognize impact, reward excellence, and invest in our people. 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Okta secures AI by building the trusted, neutral infrastructure that enables organisations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.</p>\n<p>This is an opportunity to do career-defining work. We&#39;re all in on this mission. If you are too, let&#39;s talk.</p>\n<p><strong>Access Management Engineering Team</strong></p>\n<p>The Okta Access Management Team builds the foundation for authentication and authorization across Okta-protected resources. Our mission is to enable customers to access these resources securely. We develop Okta cloud services and client software that allow users to seamlessly login to devices and use Okta authenticators to access applications securely. Learn more about Okta’s Engineering on our blog.</p>\n<p><strong>About You</strong></p>\n<p>We seek a passionate Java Senior Software Engineer to join our dynamic team. The ideal candidate should possess:</p>\n<ul>\n<li>Solid experience in Java web development.</li>\n</ul>\n<ul>\n<li>Enthusiasm for developing high-quality, secure, and performant applications.</li>\n</ul>\n<ul>\n<li>A keen interest in learning about cutting-edge security and identity management challenges.</li>\n</ul>\n<ul>\n<li>A collaborative mindset and excellent communication skills to work effectively with cross-functional teams.</li>\n</ul>\n<p>This role offers an exciting opportunity to join a team building innovative identity and security products from the ground up. You will have the chance to work on challenging problems, contribute to the product roadmap, and continuously expand your skills in a rapidly evolving industry.</p>\n<p><strong>Job Duties and Responsibilities:</strong></p>\n<ul>\n<li>Collaborate with cross-functional teams (QA, Product, Support, UX) for seamless integration.</li>\n</ul>\n<ul>\n<li>Following best practices, contribute to technical designs, proposals, and architectural decisions.</li>\n</ul>\n<ul>\n<li>Develop high-quality, maintainable software components with comprehensive unit/functional tests.</li>\n</ul>\n<ul>\n<li>Participate in code reviews, providing feedback and ensuring adherence to coding standards and security best practices.</li>\n</ul>\n<ul>\n<li>Contribute to technical documentation and knowledge sharing within the team.</li>\n</ul>\n<p><strong>Minimum Requirements:</strong></p>\n<ul>\n<li>7+ years of experience building Java-based web applications</li>\n</ul>\n<ul>\n<li>Good understanding of design patterns, scalability patterns, security engineering, and object-oriented principles.</li>\n</ul>\n<ul>\n<li>Experience working in fast-paced software development teams leveraging continuous integration and deployment practices.</li>\n</ul>\n<ul>\n<li>Strong communication skills and the ability to work across functions</li>\n</ul>\n<p><strong>Nice to have:</strong></p>\n<ul>\n<li>Experience building anomaly detection systems or risk systems is a huge plus.</li>\n</ul>\n<ul>\n<li>Experience in cloud security, identity, and/or authentication protocols.</li>\n</ul>\n<ul>\n<li>Experience with one or more UI technologies such as Angular, ReactJS, Backbone, and Vue.</li>\n</ul>\n<ul>\n<li>Strong understanding of IAM protocols (FIDO, WebAuthn, SSO, SAML, OAuth) and identity management best practices.</li>\n</ul>\n<p><strong>Education and Training:</strong></p>\n<ul>\n<li>Bachelor’s degree in Computer Science, Computer Engineering, or equivalent experience or degree.</li>\n</ul>\n<ul>\n<li>7 years of software development experience.</li>\n</ul>\n<p>#LI-Hybrid</p>\n<p>P24157_3354134</p>\n<p>The Okta Experience</p>\n<ul>\n<li>Supporting Your Well-Being</li>\n</ul>\n<ul>\n<li>Driving Social Impact</li>\n</ul>\n<ul>\n<li>Developing Talent and Fostering Connection + Community</li>\n</ul>\n<p>We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.</p>\n<p>---</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_72d0fd7b-f94","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/7587533","x-work-arrangement":"hybrid","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Java","Web Development","Security Engineering","Object-Oriented Principles","Continuous Integration and Deployment Practices","Cloud Security","Identity and Authentication Protocols"],"x-skills-preferred":["Angular","ReactJS","Backbone","Vue","FIDO","WebAuthn","SSO","SAML","OAuth"],"datePosted":"2026-04-18T15:53:48.281Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bengaluru, India"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Java, Web Development, Security Engineering, Object-Oriented Principles, Continuous Integration and Deployment Practices, Cloud Security, Identity and Authentication Protocols, Angular, ReactJS, Backbone, Vue, FIDO, WebAuthn, SSO, SAML, OAuth"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_d50772ab-afe"},"title":"Staff / Senior Software Engineer, Cloud Inference","description":"<p>We are seeking a Staff / Senior Software Engineer to join our Cloud Inference team. The successful candidate will design and build infrastructure that serves Claude across multiple cloud service providers (CSPs), accounting for differences in compute hardware, networking, APIs, and operational models.</p>\n<p>The ideal candidate will have significant software engineering experience, with a strong background in high-performance, large-scale distributed systems serving millions of users. 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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_74be15a1-bce"},"title":"Software Engineer, Inference Deployment","description":"<p>Our mandate is to make inference deployment boring and unattended. We serve Claude to millions of users across GPUs, TPUs, and Trainium , and every model update must reach production safely, quickly, and without disrupting service. As a Software Engineer on the Launch Engineering team, you&#39;ll design and build the deployment infrastructure that moves inference code from merge to production.</p>\n<p>This is a resource-constrained optimization problem at its core: validation and deployment consume the same accelerator chips that serve customer traffic , your deploys compete with live user requests for the same hardware. Every model brings different fleet sizes, startup times, and correctness requirements, so the system must adapt continuously. You&#39;ll build systems that navigate these constraints , orchestrating validation, scheduling deployments intelligently, and driving down cycle time from merge to production.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Own deployment orchestration that continuously moves validated inference builds into production across GPU, TPU, and Trainium fleets, unattended under normal conditions</li>\n</ul>\n<ul>\n<li>Improve capacity-aware deployment scheduling to maximize deployment throughput against constrained accelerator budgets and variable fleet sizes</li>\n</ul>\n<ul>\n<li>Extend deployment observability , dashboards and tooling that answer &quot;what code is running in production,&quot; &quot;where is my commit,&quot; and &quot;what validation passed for this deploy&quot;</li>\n</ul>\n<ul>\n<li>Drive down cycle time from code merge to production with pipeline architectures that minimize serial dependencies and maximize parallelism</li>\n</ul>\n<ul>\n<li>Optimize fleet rollout strategies 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windows</li>\n</ul>\n<ul>\n<li>A track record of building automation that measurably improves deployment velocity and reliability</li>\n</ul>\n<ul>\n<li>Proficiency with Kubernetes-based deployments, rolling update mechanics, and container orchestration</li>\n</ul>\n<ul>\n<li>Comfort working across the stack , from backend services and databases to CLI tools and web UIs</li>\n</ul>\n<ul>\n<li>Strong communication skills and the ability to work closely with oncall engineers, model teams, and infrastructure partners</li>\n</ul>\n<p>Strong Candidates May Also Have:</p>\n<ul>\n<li>Experience with ML inference or training infrastructure deployment, particularly across multiple accelerator types (GPU, TPU, Trainium)</li>\n</ul>\n<ul>\n<li>Background in capacity planning or resource-constrained scheduling (e.g., bin-packing, fleet management, job scheduling with hardware affinity)</li>\n</ul>\n<ul>\n<li>Experience with progressive delivery in systems with long validation cycles: canary/soak 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You&#39;ll combine deep engineering expertise with customer-facing skills to help customers unlock the full potential of Claude APIs and move their products closer to the frontier, while maintaining our high standards for safety and reliability.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Serve as a specialist technical advisor to Anthropic customers as they deploy new products &amp; workflows with our models: from discovery through deployment, coordinating internally across multiple teams to drive customer success</li>\n</ul>\n<ul>\n<li>Partner with account executives and solutions architects to translate customer business requirements into technical solutions</li>\n</ul>\n<ul>\n<li>Influence technical architecture decisions and customer product strategy by developing customized pilots, prototypes, and evaluation suites</li>\n</ul>\n<ul>\n<li>Lead hands-on technical workshops and code reviews with customer engineering teams</li>\n</ul>\n<ul>\n<li>Identify common design patterns and contribute insights back to our Product and Engineering teams</li>\n</ul>\n<ul>\n<li>Create scalable public and internal assets, documenting the latest LLM prompting, evaling, agentic, and architecture techniques</li>\n</ul>\n<ul>\n<li>Maintain strong knowledge of the latest developments in LLM capabilities, implementation patterns, and AI product development stacks</li>\n</ul>\n<ul>\n<li>Travel occasionally to customer sites for workshops, implementation support, and building relationships</li>\n</ul>\n<ul>\n<li>Attend conferences, lead speaking engagements, write blog posts and white papers on topics surrounding the AI space</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>4+ years of experience in technical roles such as Forward Deployed Engineer, Software Engineer or Technical Product Manager with a desire to work closely with customers. 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environments, with senior-level responsibility for cluster deployment, large-scale IT integration, or equivalent infrastructure programs.</li>\n</ul>\n<ul>\n<li>Have delivered AI, HPC, or high-density compute clusters at scale and developed a strong intuition for the constraints that govern cluster deployment , interconnect reach, adjacency, power density, and thermal limits.</li>\n</ul>\n<ul>\n<li>Can operate fluently across the boundary between IT hardware and facility infrastructure, and have set interface standards that held up across multiple hardware generations and sites.</li>\n</ul>\n<ul>\n<li>Have led cross-functional programs with both internal engineering teams and external developers, engineering firms, and OEM partners, and are effective at driving alignment across organizational levels.</li>\n</ul>\n<ul>\n<li>Combine strong systems thinking with execution discipline , comfortable zooming from cluster topology and portfolio strategy down to the specific interface detail that will otherwise become a field issue.</li>\n</ul>\n<ul>\n<li>Communicate clearly with technical and executive audiences, and can distill complex, multi-disciplinary programs into decisions and tradeoffs leadership can act on.</li>\n</ul>\n<ul>\n<li>Thrive in ambiguous, fast-moving environments where the hardware, the scale, and the requirements are all changing simultaneously.</li>\n</ul>\n<ul>\n<li>Hold a Bachelor&#39;s degree in Electrical Engineering, Mechanical Engineering, Computer Engineering, or equivalent practical experience.</li>\n</ul>\n<p>Strong candidates may also:</p>\n<ul>\n<li>Have direct experience deploying leading-edge AI accelerator clusters at hyperscale.</li>\n</ul>\n<ul>\n<li>Have shaped reference designs, deployment standards, or cluster-level playbooks that were adopted across a fleet.</li>\n</ul>\n<ul>\n<li>Have experience working across multiple geographies and understand how regional codes, climate, utility constraints, and supply chains shape cluster-level decisions.</li>\n</ul>\n<ul>\n<li>Have partnered closely with hardware and system providers on long-term platform onboarding and bring-up.</li>\n</ul>\n<ul>\n<li>Have experience building the program mechanisms , roadmaps, milestones, risk registers, runbooks , that make delivery predictable at massive scale.</li>\n</ul>\n<p>The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings (“OTE”) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.</p>\n<p>Annual Salary: $320,000-$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_18013f3c-904","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/5191638008","x-work-arrangement":"remote-hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$320,000-$405,000 USD","x-skills-required":["Hyperscale datacenter environments","Cluster deployment","Large-scale IT integration","Infrastructure programs","AI","HPC","High-density compute clusters","Interconnect reach","Adjacency","Power density","Thermal limits","IT hardware","Facility infrastructure","Interface standards","Cluster topology","Portfolio strategy","Execution discipline","Systems thinking","Communication","Technical audiences","Executive audiences","Complex programs","Decisions","Tradeoffs","Leadership","Bachelor's degree","Electrical Engineering","Mechanical Engineering","Computer Engineering","Practical experience"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:51:42.505Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote-Friendly, United States"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Hyperscale datacenter environments, Cluster deployment, Large-scale IT integration, Infrastructure programs, AI, HPC, High-density compute clusters, Interconnect reach, Adjacency, Power density, Thermal limits, IT hardware, Facility infrastructure, Interface standards, Cluster topology, Portfolio strategy, Execution discipline, Systems thinking, Communication, Technical audiences, Executive audiences, Complex programs, Decisions, Tradeoffs, Leadership, Bachelor's degree, Electrical Engineering, Mechanical Engineering, Computer Engineering, Practical experience","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":320000,"maxValue":405000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_7df35551-a96"},"title":"Account Executive, Beneficial Deployments (French Speaking)","description":"<p>As an EMEA Nonprofit Account Executive at Anthropic, you&#39;ll drive adoption of safe, frontier AI by securing strategic partnerships with nonprofit organisations across Europe, the Middle East, and Africa.\\n\\nYou&#39;ll leverage your consultative sales expertise to propel revenue growth while becoming a trusted partner to nonprofit leaders, helping them embed and deploy AI to amplify their impact across programme delivery, fundraising, research, and operations.\\n\\nThe ideal candidate will be an exceptional salesperson with experience selling into EMEA markets , and specifically into French-speaking contexts , a passion for developing new market segments, and the ability to operate autonomously while partnering closely with SF-based teams.\\n\\nBy driving deployment of Anthropic&#39;s emerging products in the EMEA nonprofit sector, you will help organisations amplify their social impact while advancing the ethical development of AI.\\n\\nResponsibilities:\\n\\n- Win new business and drive revenue for Anthropic within EMEA nonprofit organisations, including INGOs, foundations, charitable trusts, and social enterprises. 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Proficiency in additional languages (Spanish, Arabic) a plus.\\n\\n- Passion for emerging technologies like AI, with interest in ensuring they are developed safely and responsibly\\n\\n- Interest in or passion for social impact and mission-driven work\\n\\nStrong Candidates May Also Have:\\n\\n- Experience selling to or working with EMEA nonprofit organisations, INGOs, foundations, or government/bilateral agencies (e.g., FCDO, GIZ, EU institutions)\\n\\n- Understanding of international development funding mechanisms, including institutional donors, bilateral agencies, and European foundation giving\\n\\n- Familiarity with nonprofit technology ecosystems popular in EMEA, including CRMs (Salesforce NPSP, Blackbaud, CiviCRM), and platforms like Raiser&#39;s Edge\\n\\n- Active involvement in the EMEA nonprofit community through board service, volunteering, or prior employment\\n\\n- Experience navigating complex procurement with major INGOs (e.g., Save the Children, Oxfam, MSF, IRC) or large UK charities\\n\\n- Understanding of specific nonprofit verticals in EMEA contexts (humanitarian, development, environment, health, migration)\\n\\n- Existing network within Francophone nonprofit, INGO, or social sector communities strongly preferred\\n\\nLogistics:\\n\\nLocation: London or Dublin preferred. \\n\\nTravel: Up to 40% travel within EMEA for customer meetings and events; quarterly travel to SF headquarters expected.\\n\\nEducation: Bachelor&#39;s degree or equivalent experience.\\n\\nVisa Sponsorship: We sponsor visas where possible and retain immigration support for successful candidates.\\n\\nThe annual compensation range for this role is listed below. \\n\\nFor sales roles, the range provided is the role’s On Target Earnings (&quot;OTE&quot;) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.\\n\\nAnnual Salary:€205.000-€250.000 EUR</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_7df35551-a96","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/5165641008","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"€205.000-€250.000 EUR","x-skills-required":["Sales","EMEA markets","French-speaking contexts","AI","Nonprofit organisations","Strategic partnerships","Revenue growth","Complex procurement processes","Innovative sales strategies","Regulatory environments","Cultural contexts","Market landscapes","International deployments","Nonprofit technology platforms","Consultants","Sector networks","Sector influencers","Global sales methodology development","Adapting playbooks and best practices"],"x-skills-preferred":["Fluency in English","Native or professional fluency in French","Proficiency in additional languages (Spanish, Arabic)","Passion for emerging technologies","Interest in ensuring they are developed safely and responsibly","Interest in or passion for social impact and mission-driven work"],"datePosted":"2026-04-18T15:51:41.195Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Dublin, IE"}},"employmentType":"FULL_TIME","occupationalCategory":"Sales","industry":"Technology","skills":"Sales, EMEA markets, French-speaking contexts, AI, Nonprofit organisations, Strategic partnerships, Revenue growth, Complex procurement processes, Innovative sales strategies, Regulatory environments, Cultural contexts, Market landscapes, International deployments, Nonprofit technology platforms, Consultants, Sector networks, Sector influencers, Global sales methodology development, Adapting playbooks and best practices, Fluency in English, Native or professional fluency in French, Proficiency in additional languages (Spanish, Arabic), Passion for emerging technologies, Interest in ensuring they are developed safely and responsibly, Interest in or passion for social impact and mission-driven work"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_3439b4ff-d42"},"title":"Engineering Manager, HADR","description":"<p>We&#39;re seeking an experienced Engineering Manager to join our High Availability and Disaster Recovery team. 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As a member of this team, you will play a key role in building and maintaining our open-source AI/ML platforms to enable users to train, deploy and monitor models and GenAI agents at scale.</p>\n<p>The impact you&#39;ll have:</p>\n<ul>\n<li>Design and implement platform capabilities to support the AI/ML development and productionization lifecycle including training, evaluation, deployment, monitoring, and management of models and agents</li>\n<li>Design and implement platform integrations with various frameworks in the AI/ML ecosystem</li>\n<li>Collaborate with the AI/ML community across the world to advance the state-of-the-art in AIOps</li>\n<li>Ensure the latest AI/ML tooling advancements are available to Databricks&#39; customers, thereby enabling organizations around the world to get more value from their data</li>\n<li>Mentor and guide junior engineers on the team by helping with project planning, technical decisions, and code and document review</li>\n</ul>\n<p>What we look for:</p>\n<ul>\n<li>BS (or higher) in Computer Science, or a related field</li>\n<li>3+ years of hands-on experience in building production systems using at least one of the following programming languages: Python (Preferred), Scala and Java</li>\n<li>Experience building and maintaining software tools and frameworks for AI/ML, ideally in an open-source environment</li>\n<li>Familiarity with AI/ML and AIOps concepts and technologies, such as model training, deployment, and monitoring</li>\n<li>Deep understanding and experience in working with agent frameworks such as LangChain, LlamaIndex, DSPy, or other similar projects</li>\n<li>Significant contributions to open-source projects in the AI/ML domain, such as SparkML, TensorFlow, PyTorch, MLflow, or other similar projects</li>\n</ul>\n<p>About Databricks</p>\n<p>Databricks is the data and AI company. More than 10,000 organizations worldwide , including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 , rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI.</p>\n<p>Benefits</p>\n<p>At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.</p>\n<p>Our Commitment to Diversity and Inclusion</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_ed89fde9-362","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/8341810002","x-work-arrangement":"remote","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Python","Scala","Java","AI/ML","AIOps","model training","deployment","monitoring"],"x-skills-preferred":["LangChain","LlamaIndex","DSPy","SparkML","TensorFlow","PyTorch","MLflow"],"datePosted":"2026-04-18T15:51:20.157Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Singapore"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, Scala, Java, AI/ML, AIOps, model training, deployment, monitoring, LangChain, LlamaIndex, DSPy, SparkML, TensorFlow, PyTorch, MLflow"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_029ea902-556"},"title":"Senior Engineering Manager, Design","description":"<p>As the first Engineering Manager embedded in the Upstream Studios organization at GitLab, you&#39;ll lead a focused team of Engineers responsible for two foundational surfaces: the Pajamas Design System, which powers the coherence of the entire GitLab product, and docs.gitlab.com, the documentation platform serving millions of GitLab users and contributors worldwide.</p>\n<p>This is a rare opportunity to define what engineering leadership looks like inside a design organization. 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We imagine it, we design it, we document it, we ship it,partnering across product, engineering, and marketing to deliver a continuous deployment of quality. We integrate research, design, frontend engineering, documentation, and brand into a unified delivery pipeline, shaping how customers experience GitLab from first impression to final deployment.</p>\n<p>For more information on how we work, see the Upstream Studios section of the GitLab Handbook.</p>\n<p><strong>How GitLab Supports Full-Time Employees</strong></p>\n<ul>\n<li>Benefits to support your health, finances, and well-being</li>\n<li>Flexible Paid Time Off</li>\n<li>Team Member Resource Groups</li>\n<li>Equity Compensation &amp; Employee Stock Purchase Plan</li>\n<li>Growth and Development Fund</li>\n<li>Parental leave</li>\n<li>Home office support</li>\n</ul>\n<p>Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. 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security requirements and policies.</li>\n<li>Partner with Client Engineering teams to ensure seamless integration of acquired client and client-facing technologies and services.</li>\n<li>Provide clear, concise, and opinionated technical guidance, and proactively push back on misaligned proposals to ensure successful technical outcomes.</li>\n<li>Act as a technical authority, mentor, and trusted advisor to engineering teams involved in integration efforts.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Minimum of 12 years of progressive experience in Systems Engineering, Network Engineering, and/or IT Infrastructure roles with a focus on complex, enterprise-scale environments.</li>\n<li>Self-sufficient ability to execute in (technical and non-technical) program management, architecture, and hands-on engineering capacities.</li>\n<li>Demonstrated expertise in defining and building engineering practices and repeatable processes.</li>\n<li>Proven ability to operate across 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private banks, wealth managers, and family offices,helping them transform workflows in investment research, portfolio analytics, client reporting, and advisor productivity.</p>\n<p>You&#39;ll leverage consultative sales expertise and sector knowledge to secure strategic enterprise deals while becoming a trusted partner to stakeholders navigating AI deployment in highly regulated, performance-driven environments.</p>\n<p>In collaboration with GTM, Product, Policy, and Marketing teams, you&#39;ll shape our approach to this high-value vertical and help define how AI enhances both investment decision-making and client experience in wealth management.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Own the full sales cycle from prospecting through close, winning new business and driving revenue within asset and wealth management accounts.</li>\n</ul>\n<ul>\n<li>Design and execute sales strategies tailored to the unique procurement dynamics, budget cycles, and regulatory considerations of investment management firms.</li>\n</ul>\n<ul>\n<li>Identify and develop new use cases across wealth management workflows,investment research and analysis, portfolio construction and reporting, client communications, compliance documentation, and advisor/analyst enablement,collaborating cross-functionally to differentiate our offerings.</li>\n</ul>\n<ul>\n<li>Build consensus across complex stakeholder ecosystems including portfolio managers, Chief Investment Officers, Chief Technology Officers, compliance teams, and procurement.</li>\n</ul>\n<ul>\n<li>Serve as the voice of the customer internally, gathering feedback from users and conveying market needs to inform product roadmaps, security requirements, and go-to-market positioning.</li>\n</ul>\n<ul>\n<li>Contribute to the evolution of our financial services sales methodology by documenting learnings, refining playbooks, and identifying process improvements that drive productivity and consistency.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>5+ years of enterprise B2B sales experience, with significant time selling into asset managers, hedge funds, private banks, wealth managers, or family offices.</li>\n</ul>\n<ul>\n<li>A track record of closing complex, multi-stakeholder deals within investment management firms by navigating both technical requirements and business use cases.</li>\n</ul>\n<ul>\n<li>Deep familiarity with how asset and wealth managers buy technology,including vendor due diligence, regulatory compliance reviews, and enterprise procurement processes.</li>\n</ul>\n<ul>\n<li>Experience negotiating enterprise agreements within investment management procurement frameworks, including navigating legal, compliance, and infosec requirements.</li>\n</ul>\n<ul>\n<li>Proven history of exceeding revenue targets by effectively managing pipeline and executing a disciplined sales process.</li>\n</ul>\n<ul>\n<li>Strong communication skills and the ability to present 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Inference","description":"<p><strong>About the role</strong></p>\n<p>Our Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry&#39;s largest compute-agnostic inference deployments. We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators.</p>\n<p>As a Staff Software Engineer on our Inference team, you will work end to end, identifying and addressing key infrastructure blockers to serve Claude to millions of users while enabling breakthrough AI research. Strong candidates should have familiarity with performance optimization, distributed systems, large-scale service orchestration, and intelligent request routing. Familiarity with LLM inference optimization, batching strategies, and multi-accelerator deployments is highly encouraged but not strictly necessary.</p>\n<p><strong>Strong candidates may also have experience with</strong></p>\n<ul>\n<li>High-performance, large-scale distributed systems</li>\n<li>Implementing and deploying machine learning systems at scale</li>\n<li>Load balancing, request routing, or traffic management systems</li>\n<li>LLM inference optimization, batching, and caching strategies</li>\n<li>Kubernetes and cloud infrastructure (AWS, GCP)</li>\n<li>Python or Rust</li>\n</ul>\n<p><strong>You may be a good fit if you</strong></p>\n<ul>\n<li>Have significant software engineering experience, particularly with distributed systems</li>\n<li>Are results-oriented, with a bias towards flexibility and impact</li>\n<li>Pick up slack, even if it goes outside your job description</li>\n<li>Want to learn more about machine learning systems and infrastructure</li>\n<li>Thrive in environments where technical excellence directly drives both business results and research breakthroughs</li>\n<li>Care about the societal impacts of your work</li>\n</ul>\n<p><strong>Representative projects across the org</strong></p>\n<ul>\n<li>Designing intelligent routing algorithms that optimize request distribution across thousands of accelerators</li>\n<li>Autoscaling our compute fleet to dynamically match supply with demand across production, research, and experimental workloads</li>\n<li>Building production-grade deployment pipelines for releasing new models to millions of users</li>\n<li>Integrating new AI accelerator platforms to maintain our hardware-agnostic competitive advantage</li>\n<li>Contributing to new inference features (e.g., structured sampling, prompt caching)</li>\n<li>Supporting inference for new model architectures</li>\n<li>Analyzing observability data to tune performance based on real-world production workloads</li>\n<li>Managing multi-region deployments and geographic routing for global customers</li>\n</ul>\n<p><strong>Deadline to apply</strong></p>\n<p>None. Applications will be reviewed on a rolling basis.</p>\n<p><strong>Annual compensation range</strong></p>\n<p>The annual compensation range for this role is £325,000-£390,000 GBP.</p>\n<p><strong>Logistics</strong></p>\n<ul>\n<li>Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience</li>\n<li>Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience</li>\n<li>Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position</li>\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<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><strong>Why work with us?</strong></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><strong>Come work with us!</strong></p>\n<p>Anthropic is a public benefit corporation headquartered in San Francisco. 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