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You won&#39;t be handed a backlog. You&#39;ll be handed challenges like &quot;our hosts spend too much time on guest communication&quot; or &quot;we need to understand why conversion drops here&quot; and you&#39;ll figure out what to build.</p>\n<p>Ship fast, learn faster. We measure output in customer impact, not lines of code. You&#39;ll take features from idea to production, often in days.</p>\n<p>Work at the frontier. Our Agentic Experience team builds AI agents that handle thousands of real guest-host conversations, automate complex workflows, and push the boundaries of what&#39;s possible with LLMs in production.</p>\n<p>Know your tools, stay curious. Our stack runs on Kotlin/Java, AWS, k8s, ReactJS, and PostgreSQL, and you won&#39;t hesitate to introduce the right tool for tomorrow.</p>\n<p><strong>Your backpack is filled with</strong></p>\n<ul>\n<li>You have 5+ years of backend development experience (Kotlin or Java).</li>\n<li>You use AI coding tools like Claude Code as a natural extension of your workflow, not because it&#39;s trendy, but because you&#39;ve found it makes your thinking more effective.</li>\n<li>You&#39;ve shipped production systems and understand what it takes to keep them running.</li>\n<li>You think in products, not features. You ask &quot;what problem are we solving?&quot; before &quot;what should I build?&quot;.</li>\n<li>You&#39;re comfortable with ambiguity and energized by ownership.</li>\n<li>You have strong fundamentals (we mostly use Kotlin, but the language matters less than the thinking).</li>\n<li>You communicate clearly - with code, in documents, and in conversation.</li>\n</ul>\n<p><strong>Our adventure includes</strong></p>\n<ul>\n<li>Impact: Shape the future of travel with products used by millions of guests and thousands of hosts. At Holidu ideas become products, data drives decisions, and iteration fuels fast learning. Your work matters - and you’ll see the impact.</li>\n<li>Learning: Grow professionally in a culture that thrives on curiosity and feedback. You’ll learn from outstanding colleagues, collaborate across disciplines, and benefit from mentorship, and personal learning budgets - with a strong focus on AI.</li>\n<li>Great People: Join a team of smart, motivated and international colleagues who challenge and support each other. We celebrate wins and keep our culture fun, ambitious and human. Our customers are guests and hosts - people we can all relate to - making work meaningful and energizing.</li>\n<li>Technology: Work in a modern tech environment. You’ll experience the pace of a scale-up combined with the stability of a proven business model, enabling you to build, test, and improve continuously.</li>\n<li>Flexibility: Work a hybrid setup with 50% in-office time for collaboration, and spend up to 8 weeks a year from other inspiring locations. You’ll stay connected through regular events and meet-ups across our almost 30 offices.</li>\n<li>Perks on Top: Of course, we also offer travel benefits, gym discounts, and other perks to keep you energized - but what truly sets us apart is the chance to grow in a dynamic industry, alongside amazing people, while having fun along the way.</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_994d2c89-a88","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Holidu Hosts GmbH","sameAs":"https://holidu.jobs.personio.com","logo":"https://logos.yubhub.co/holidu.jobs.personio.com.png"},"x-apply-url":"https://holidu.jobs.personio.com/job/2591432","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"Full-time","x-salary-range":null,"x-skills-required":["backend development experience","Kotlin or Java","AI coding tools","Claude Code","shipping production systems","strong fundamentals","communication skills"],"x-skills-preferred":[],"datePosted":"2026-04-18T22:09:17.187Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Munich, Germany"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"backend development experience, Kotlin or Java, AI coding tools, Claude Code, shipping production systems, strong fundamentals, communication skills"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_38e51e8f-9b2"},"title":"Lead Technical Program Manager, Trust & Safety","description":"<p>About the Role</p>\n<p>Scale is at the frontier of GenAI and human-AI collaboration. The Gen AI Ops Trust and Safety team is focused on safeguarding human authenticity and genuineness in AI training.</p>\n<p>We are looking for a highly analytical Technical Program Manager (TPM) who leans heavily into fraud analytics and data-driven strategy to protect our ecosystem. This isn&#39;t a project management role. You will act as the lead investigative analyst and program owner for our fraud defense portfolio.</p>\n<p>Your day-to-day will involve diving deep into complex datasets to uncover hidden fraud vectors, and then translating those analytical insights into scalable rules, policies, and operational programs. 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The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.</p>\n<p>Salary Range</p>\n<p>The base salary range for this full-time position in the location of San Francisco is: $180,800-$226,000 USD</p>\n<p>Benefits</p>\n<p>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>About Us</p>\n<p>At Scale, our mission is to develop reliable AI systems for the world&#39;s most important decisions. Our products provide the high-quality data and full-stack technologies that power the world&#39;s leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact.</p>\n<p>We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.</p>\n<p>We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.</p>\n<p>We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com.</p>\n<p>Please see the United States Department of Labor&#39;s Know Your Rights poster for additional information.</p>\n<p>We comply with the United States Department of Labor&#39;s Pay Transparency provision.</p>\n<p>PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. 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Yet we are only scratching the surface.</p>\n<p>As model intelligence accelerates, the ultimate form factor of agentic software development remains unwritten.</p>\n<p>We seek a product manager who combines deep technical understanding, genuine love for developers, and strong product intuition.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Define the roadmap for an area of the Claude Code product suite</li>\n</ul>\n<ul>\n<li>Translate cutting-edge AI advances into practical developer features</li>\n</ul>\n<ul>\n<li>Build an ecosystem around the CLI and other products so that developers can easily share best practices</li>\n</ul>\n<p>You might be a good fit if you:</p>\n<ul>\n<li>Have a combined 5+ years in product management and engineering, including at least 1 year as a professional engineer.</li>\n</ul>\n<ul>\n<li>Have a deep technical background with experience working cross-functionally with engineering teams to ship technical products.</li>\n</ul>\n<ul>\n<li>Track record of launching ambitious products that have achieved distribution or commercial success. Experience in dev tools is preferred.</li>\n</ul>\n<ul>\n<li>Stay up-to-date and hands-on with AI coding tools, model capabilities, and industry trends</li>\n</ul>\n<ul>\n<li>Have a creative, hacker spirit and love solving puzzles</li>\n</ul>\n<p>The annual compensation range for this role is $285,000-$305,000 USD.</p>\n<p>Logistics:</p>\n<ul>\n<li>Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience</li>\n</ul>\n<ul>\n<li>Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience</li>\n</ul>\n<ul>\n<li>Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position</li>\n</ul>\n<p>Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.</p>\n<p>Visa sponsorship: We do sponsor visas! However, we aren&#39;t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</p>\n<p>We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you&#39;re interested in this work.</p>\n<p>Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you&#39;re ever unsure about a communication, don&#39;t click any links,visit anthropic.com/careers directly for confirmed position openings.</p>\n<p>How we&#39;re different:</p>\n<p>We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact , advancing our long-term goals of steerable, trustworthy AI , rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We&#39;re an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.</p>\n<p>The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.</p>\n<p>Come work with us!</p>\n<p>Anthropic is a public benefit corporation headquartered in San Francisco. 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As a high-impact, early-career role, you will be responsible for building the canonical data infrastructure, owning critical dashboards, and enabling Marketing stakeholders to execute faster, more confident, data-driven decisions.</p>\n<p>You will design and maintain trustworthy data models for core marketing metrics, manage the full lifecycle from prototyping through production, and develop and govern dbt data pipelines. You will also build and optimize dashboards that deliver real-time, self-serve insights across high-priority marketing areas, drive data independence for Marketing stakeholders, and collaborate with the Marketing team and data partners to establish the AI Business Context layer for marketing use cases.</p>\n<p>You will serve as the primary data partner for marketing managers, demand generation teams, and leadership, translating complex data insights into clear business recommendations via dashboards, memos, and presentations. You will achieve a comprehensive mastery of Airtable&#39;s marketing data models, existing pipelines, and BI tools within the first 6 months, becoming the definitive internal expert.</p>\n<p>This is a genuinely AI-native role, requiring active, demonstrated daily use of AI coding tools such as Cursor, Claude, ChatGPT, and Gemini. You must provide specific, concrete examples of how these tools are integral to your work, moving beyond simple familiarity.</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_df625390-342","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Airtable","sameAs":"https://airtable.com/","logo":"https://logos.yubhub.co/airtable.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/airtable/jobs/8434307002","x-work-arrangement":"remote","x-experience-level":"entry","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Expert-level SQL","Proficiency with dbt or equivalent data transformation tools","Experience with BI and visualization platforms (Looker, Omni, Tableau, Hex, or similar)","Active, demonstrated daily use of AI coding tools (Cursor, Claude, ChatGPT, Gemini)","Mandatory use of GitHub for version control in a standard development workflow"],"x-skills-preferred":["Python for data work (pandas, ETL scripting, or analysis)","Prior exposure to marketing data concepts: attribution, funnel metrics, lead scoring, or campaign performance","Familiarity with CRM (Salesforce) or marketing automation platforms (Marketo)","Experience with Databricks or cloud data warehouses","A public portfolio showcasing data or AI-assisted engineering work (GitHub, personal projects, Kaggle)"],"datePosted":"2026-04-18T15:56:13.818Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA; Austin, TX; New York, NY"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Expert-level SQL, Proficiency with dbt or equivalent data transformation tools, Experience with BI and visualization platforms (Looker, Omni, Tableau, Hex, or similar), Active, demonstrated daily use of AI coding tools (Cursor, Claude, ChatGPT, Gemini), Mandatory use of GitHub for version control in a standard development workflow, Python for data work (pandas, ETL scripting, or analysis), Prior exposure to marketing data concepts: attribution, funnel metrics, lead scoring, or campaign performance, Familiarity with CRM (Salesforce) or marketing automation platforms (Marketo), Experience with Databricks or cloud data warehouses, A public portfolio showcasing data or AI-assisted engineering work (GitHub, personal projects, Kaggle)"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_0b5a4347-f37"},"title":"Sr. Machine Learning Engineer, Monetization Engineering","description":"<p>About this role:</p>\n<p>We&#39;re looking for a Senior Machine Learning Engineer to join our Monetization team. As a key member of the team, you will be responsible for developing and executing a vision for the evolution of the machine learning technology stack within Ads.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Building cutting-edge technology using the latest advances in deep learning and machine learning to personalize Pinterest</li>\n<li>Partnering closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search)</li>\n<li>Using data-driven methods and leveraging the unique properties of our data to improve candidate retrieval</li>\n<li>Working in a high-impact environment with quick experimentation and product launches</li>\n<li>Keeping up with industry trends in recommendation systems</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>2+ years of industry experience applying machine learning methods</li>\n<li>Degree in computer science, statistics, or related field; or equivalent experience</li>\n<li>End-to-end hands-on experience with building data processing pipelines, large-scale machine learning systems, and big data technologies</li>\n<li>Practical knowledge of large-scale recommender systems, or modern ads ranking, retrieval, targeting, marketplace systems</li>\n</ul>\n<p>Nice to have:</p>\n<ul>\n<li>M.S. or PhD in Machine Learning or related areas</li>\n<li>Publications at top ML conferences</li>\n<li>Experience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring</li>\n<li>Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration</li>\n<li>Expertise in scalable real-time systems that process stream data</li>\n<li>Passion for applied ML and the Pinterest product</li>\n<li>Background in computational advertising</li>\n</ul>\n<p>Relocation Statement:</p>\n<p>This position is not eligible for relocation assistance.</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_0b5a4347-f37","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Pinterest","sameAs":"https://www.pinterest.com/","logo":"https://logos.yubhub.co/pinterest.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/pinterest/jobs/6121551","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$189,721-$332,012 USD","x-skills-required":["Machine Learning","Deep Learning","Data Processing Pipelines","Large-Scale Machine Learning Systems","Big Data Technologies","Recommender Systems","Ads Ranking","Retrieval","Targeting","Marketplace Systems"],"x-skills-preferred":["M.S. or PhD in Machine Learning or related areas","Publications at top ML conferences","Experience using Cursor, Copilot, Codex, or similar AI coding assistants","Familiarity with LLM-powered productivity tools","Expertise in scalable real-time systems","Passion for applied ML and the Pinterest product","Background in computational advertising"],"datePosted":"2026-04-18T15:56:06.423Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA, US; Palo Alto, CA, US; Seattle, WA, US"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Machine Learning, Deep Learning, Data Processing Pipelines, Large-Scale Machine Learning Systems, Big Data Technologies, Recommender Systems, Ads Ranking, Retrieval, Targeting, Marketplace Systems, M.S. or PhD in Machine Learning or related areas, Publications at top ML conferences, Experience using Cursor, Copilot, Codex, or similar AI coding assistants, Familiarity with LLM-powered productivity tools, Expertise in scalable real-time systems, Passion for applied ML and the Pinterest product, Background in computational advertising","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":189721,"maxValue":332012,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_2955ece8-328"},"title":"Engineering Manager II, Developer Fundamentals","description":"<p>About Pinterest:</p>\n<p>Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime.</p>\n<p>At Pinterest, we&#39;re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.</p>\n<p>Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other&#39;s unique experiences and embrace the flexibility to do your best work.</p>\n<p>Creating a career you love? It&#39;s Possible.</p>\n<p>At Pinterest, AI isn&#39;t just a feature, it&#39;s a powerful partner that augments our creativity and amplifies our impact, and we&#39;re looking for candidates who are excited to be a part of that.</p>\n<p>To get a complete picture of your experience and abilities, we&#39;ll explore your foundational skills and how you collaborate with AI.</p>\n<p>Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think.</p>\n<p>You can read more about our AI interview philosophy and how we use AI in our recruiting process here.</p>\n<p><strong>Job Description:</strong></p>\n<p>We&#39;re looking for an Engineering Manager to lead the Developer Fundamentals team within Developer Foundations.</p>\n<p>In this role, you&#39;ll lead a team responsible for improving the daily development experience for every Pinterest engineer by shaping the core workflows developers rely on to write, 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developer environments, including sandbox usability, agent tooling integration and AI-assisted code review workflows</li>\n</ul>\n<ul>\n<li>Build a culture of developer empathy: understand the pain points of Pinterest engineers and translate them into high-impact improvements</li>\n</ul>\n<ul>\n<li>Establish and improve operational practices including oncall rotations, incident response and production health metrics</li>\n</ul>\n<ul>\n<li>Partner with cross-functional teams (Developer Infrastructure, Security, ML Infrastructure) to ensure developer workflows integrate smoothly with underlying systems</li>\n</ul>\n<ul>\n<li>Hire and develop engineers, creating clear growth paths and a high-trust team environment</li>\n</ul>\n<p><strong>Requirements:</strong></p>\n<ul>\n<li>3+ years of engineering management experience leading teams of 4+ engineers</li>\n</ul>\n<ul>\n<li>Experience improving developer experience with a track record of identifying and removing friction in engineering workflows</li>\n</ul>\n<ul>\n<li>Strong technical background building or operating developer platforms such as source control systems, developer CLIs, developer environments, build systems or CI/CD</li>\n</ul>\n<ul>\n<li>Experience improving developer workflows and operating developer platforms at scale in large engineering environments, including ownership of oncall, reliability improvements and service health metrics</li>\n</ul>\n<ul>\n<li>Ability to partner effectively with a Tech Lead to align people leadership with technical direction</li>\n</ul>\n<ul>\n<li>Hands-on experience using AI coding assistants and developer tools in day-to-day engineering work, with an ability to evaluate and adopt emerging tools effectively</li>\n</ul>\n<ul>\n<li>Familiarity with how AI is transforming developer workflows – code generation, code review, agent-driven development and developer environments</li>\n</ul>\n<ul>\n<li>Strong communication skills with the ability to articulate technical strategy to both engineers and senior leadership</li>\n</ul>\n<ul>\n<li>Bachelor&#39;s degree in Computer Science, a related field or equivalent experience</li>\n</ul>\n<p><strong>Additional Information:</strong></p>\n<p>This job posting is for an open vacancy.</p>\n<p>Please note that the company utilizes artificial intelligence to screen applicants for the positions.</p>\n<p>Relocation Statement:</p>\n<p>This position is not eligible for relocation assistance.</p>\n<p>Visit our PinFlex page to learn more about our working model.</p>\n<p>In-Office Requirement Statement:</p>\n<p>We recognize that the ideal environment for work is situational and may differ across departments.</p>\n<p>What this looks like day-to-day can vary based on the needs of each organization or role.</p>\n<p>This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in Ontario.</p>\n<p>#LI-HYBRID #LI-CH1</p>\n<p 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As a Machine Learning Engineer II, you will be responsible for developing and implementing ML models to improve user targeting and personalization for growth initiatives. You will design and build scalable ML pipelines for data processing, model training, and deployment. You will collaborate with cross-functional teams to identify potential ML solutions for growth opportunities. You will conduct A/B tests to evaluate the performance of ML models and optimize their impact on key growth metrics. You will analyze large datasets to extract insights and inform decision-making for user acquisition and retention strategies. You will contribute to the development of our ML infrastructure, ensuring it can support rapid experimentation and deployment. You will stay up-to-date with the latest advancements in ML and recommend new techniques to enhance our growth efforts. You will participate in code reviews and collaborate with team members as needed. 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Today the company runs one of the world&#39;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>Cloudflare was named to Entrepreneur Magazine&#39;s Top Company Cultures list and ranked among the World&#39;s Most Innovative Companies by Fast Company.</p>\n<p>About the Department</p>\n<p>At Cloudflare, we have our eyes set on an ambitious goal: to help build a better Internet. Today the company runs one of the world&#39;s largest networks that powers approximately 25 million Internet properties, for customers ranging from individual bloggers to SMBs to Fortune 500 companies.</p>\n<p>Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks.</p>\n<p>Cloudflare was named to Entrepreneur Magazine&#39;s Top Company Cultures list and ranked among the World&#39;s Most Innovative Companies by Fast Company.</p>\n<p>About the Team</p>\n<p>Domain management is the foundation for any online presence and Cloudflare Registrar is our answer to a simple and straightforward experience. The Registrar product manages the full lifecycle of the domains, including searching/registering for new domains and transferring/renewing existing ones. Onboarding domains on Cloudflare is the gateway to the vast array of Cloudflare services.</p>\n<p>What You&#39;ll Do</p>\n<p>We are looking for a talented systems engineer to be part of our engineering team. Come be part of the team and work with a group of passionate, talented engineers that will be creating innovative products. The amount of requests being processed is massive and we utilize all the latest technology to ensure its scalability and availability.</p>\n<p>Responsibilities</p>\n<ul>\n<li>Designing, building, running and scaling tools and services that support the full spectrum of domain management.</li>\n<li>Analyzing and communicating complex technical requirements and concepts, identifying the highest priority areas, and carving a path to delivery.</li>\n<li>Improving system design and architecture to ensure stability and performance of the internal and customer-facing compliance concerns.</li>\n<li>Working closely with Cloudflare&#39;s Trust and Safety team to help make the internet a better place.</li>\n<li>Ongoing monitoring and maintenance of production services, including participation in on-call rotations.</li>\n</ul>\n<p>Requirements</p>\n<ul>\n<li>5+ years of experience as a software engineer with a focus on designing, building and scaling data infrastructure.</li>\n<li>Experience with product teams to understand goals and develop robust and scalable solutions that align with the customer need.</li>\n<li>Strong communication skills, especially around articulating technical concepts for technical and non-technical audiences.</li>\n<li>Experience working on, and deploying, large scale systems in Typescript, Go, Ruby/Rails, Java, or other high performance languages.</li>\n<li>Experience (and love) for debugging to ensure the system works in all cases.</li>\n<li>Strong systems level programming skills.</li>\n<li>Excited by the idea of optimizing complex solutions to general problems that all websites face.</li>\n<li>Experience with a continuous integration workflow and using source control (we use git).</li>\n</ul>\n<p>Bonus Points</p>\n<ul>\n<li>Experience with Cloudflare Developer Platform.</li>\n<li>Experience with Ruby or Go (or a strong desire to learn).</li>\n<li>Experience working with OpenAPI.</li>\n<li>Experience with AI coding tools.</li>\n<li>Experience with Kubernetes.</li>\n<li>Experience with Kibana, Grafana, and/or Prometheus.</li>\n<li>Experience with relational databases (e.g. Postgres).</li>\n<li>Experience with Gitlab and Gitlab CI.</li>\n<li>Experience with DNS (and DNSSEC).</li>\n<li>Experience in the registry/registrar industry.</li>\n</ul>\n<p>Equity</p>\n<p>This role is eligible to participate in Cloudflare&#39;s equity plan.</p>\n<p>Benefits</p>\n<p>Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!</p>\n<p>The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S.</p>\n<p>Health &amp; Welfare Benefits</p>\n<ul>\n<li>Medical/Rx Insurance</li>\n<li>Dental Insurance</li>\n<li>Vision Insurance</li>\n<li>Flexible Spending Accounts</li>\n<li>Commuter Spending Accounts</li>\n<li>Fertility &amp; Family Forming Benefits</li>\n<li>On-demand mental health support and Employee Assistance Program</li>\n<li>Global Travel Medical Insurance</li>\n</ul>\n<p>Financial Benefits</p>\n<ul>\n<li>Short and Long Term Disability Insurance</li>\n<li>Life &amp; Accident Insurance</li>\n<li>401(k) Retirement Savings Plan</li>\n<li>Employee Stock Participation Plan</li>\n</ul>\n<p>Time Off</p>\n<ul>\n<li>Flexible paid time off covering vacation and sick leave</li>\n<li>Leave programs, including parental, pregnancy health, medical, and bereavement leave</li>\n</ul>\n<p>What Makes Cloudflare Special?</p>\n<p>We&#39;re not just a highly ambitious, large-scale technology company. We&#39;re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.</p>\n<p>Project Galileo: Since 2014, we&#39;ve equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare&#39;s enterprise customers--at no cost.</p>\n<p>Athenian Project: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we&#39;ve provided services to more than 425 local government election websites in 33 states.</p>\n<p>1.1.1.1: We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released.</p>\n<p>Here&#39;s the deal - we don&#39;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&#39;d like to be a part of? 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You&#39;ll collaborate with other engineering teams to leverage their platforms and signals and work with them to collaborate on the adoption and evaluation of Responsible AI practices and ML Fairness tooling across Pinterest.</p>\n<p>You&#39;ll also mentor junior engineers on the Responsible AI team and across the company on the R-AI space, and work with the team and senior leaders at the company to define and drive technical strategy in this area.</p>\n<p>To be successful in this role, you&#39;ll need extensive, real-world experience applying advanced ML methods to production systems, with a strong track record in responsible technology spanning fairness, ethics, and broader societal considerations. 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We&#39;re looking for a technical leader and engineering manager to help lead the search backend team.</p>\n<p>The search backend team is responsible for major areas of the search engine, including indexing and document ranking, query and content understanding, personalization, ML based retrieval, shopping, videos, as well as infrastructure efficiency and scalability. The team also works on innovative applications of NLP and Vision Models, and other techniques to drive query recommendations, multimodal search, agentic search, multimodal query understanding, and query based module generation and ranking.</p>\n<p>Responsibilities</p>\n<ul>\n<li>Lead the search backend team to develop and maintain a scalable and efficient search engine</li>\n<li>Collaborate with other engineering teams to bring superior search experience to users</li>\n<li>Drive the vision for the team and provide visibility for senior leadership into the team&#39;s global impact</li>\n<li>Partner with stakeholders to expand impact across the company</li>\n<li>Mentor and grow managers, leaders and engineers on the team</li>\n</ul>\n<p>Requirements</p>\n<ul>\n<li>Experience leading and working on a large-scale production search, recommendation or ads systems</li>\n<li>Applied machine learning experience is strongly preferred</li>\n<li>Ability to drive the roadmap and directions of scalable production quality systems end-to-end</li>\n<li>A knack for product and impact on users of a consumer product</li>\n<li>3+ years of experience in leading/managing a highly impactful ML-based engineering team of 5+ size; 7+ years of software development experience</li>\n<li>Bachelors degree in computer science or related technical field, or equivalent experience</li>\n<li>Experience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring</li>\n<li>Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration</li>\n</ul>\n<p>In-Office Requirement Statement</p>\n<p>We let the type of work you do guide the collaboration style. That means we&#39;re not always working in an office, but we continue to gather for key moments of collaboration and connection.</p>\n<p>Relocation Statement</p>\n<p>This position is not eligible for relocation assistance. 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Yet we are only scratching the surface.</p>\n<p>As model intelligence accelerates, the ultimate form factor of agentic software development remains unwritten.</p>\n<p>We seek a product manager who combines deep technical understanding, genuine love for developers, and strong product intuition.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Define the roadmap for an area of the Claude Code product suite</li>\n</ul>\n<ul>\n<li>Translate cutting-edge AI advances into practical developer features</li>\n</ul>\n<ul>\n<li>Build an ecosystem around the CLI and other products so that developers can easily share best practices</li>\n</ul>\n<p>You might be a good fit if you:</p>\n<ul>\n<li>Have a combined 5+ years in product management and engineering, including at least 1 year as a professional engineer.</li>\n</ul>\n<ul>\n<li>Have a deep technical background with experience working cross-functionally with engineering teams to ship technical products.</li>\n</ul>\n<ul>\n<li>Track record of launching ambitious products that have achieved distribution or commercial success. Experience in dev tools is preferred.</li>\n</ul>\n<ul>\n<li>Stay up-to-date and hands-on with AI coding tools, model capabilities, and industry trends</li>\n</ul>\n<ul>\n<li>Have a creative, hacker spirit and love solving puzzles</li>\n</ul>\n<p>The annual compensation range for this role is $285,000-$305,000 USD.</p>\n<p>Logistics:</p>\n<ul>\n<li>Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience</li>\n</ul>\n<ul>\n<li>Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience</li>\n</ul>\n<ul>\n<li>Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position</li>\n</ul>\n<p>Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.</p>\n<p>Visa sponsorship: We do sponsor visas! However, we aren&#39;t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</p>\n<p>We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you&#39;re interested in this work.</p>\n<p>Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you&#39;re ever unsure about a communication, don&#39;t click any links,visit anthropic.com/careers directly for confirmed position openings.</p>\n<p>How we&#39;re different:</p>\n<p>We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact , advancing our long-term goals of steerable, trustworthy AI , rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We&#39;re an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.</p>\n<p>The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.</p>\n<p>Come work with us!</p>\n<p>Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.</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_8095293c-3ca","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/4985920008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$285,000-$305,000 USD","x-skills-required":["product management","engineering","AI coding tools","model capabilities","industry trends"],"x-skills-preferred":["dev tools","cross-functional collaboration","communication skills"],"datePosted":"2026-04-18T15:42:21.988Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | Seattle, WA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"product management, engineering, AI coding tools, model capabilities, industry trends, dev tools, cross-functional collaboration, communication skills","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":285000,"maxValue":305000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_d195961d-daa"},"title":"Engineering Manager - Intelligent Tooling","description":"<p>We believe that the way people interact with their finances will drastically improve in the next few years. We&#39;re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life.</p>\n<p>The Intelligent Tooling team is being built from the ground up, and our mission is to establish the technical foundations, operating model, and internal platforms that embed AI deeply into Plaid&#39;s coding tools, internal systems, and the entire software development lifecycle. When we are successful, engineers across Plaid will delegate lower-leverage work to AI agents, move faster with confidence, and spend more of their time designing and inventing for customers.</p>\n<p>As the Engineering Manager for Intelligent Tooling, you will lead an engineering team responsible for some of the highest-leverage systems at Plaid. This role is central to executing Plaid&#39;s 2026 engineering strategy to supercharge the engineering organization with AI tooling, and requires a leader who can both build the team and personally operate at the frontier of AI-powered developer workflows to drive real, organization-wide change.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Build and grow the Intelligent Tooling engineering team from the ground up, including hiring, setting early technical direction, and establishing team culture and operating norms.</li>\n<li>Develop, integrate, and own Plaid&#39;s AI-powered developer tooling and internal platforms, including AI coding tools, agentic workflows, and AI-native SDLC automation.</li>\n<li>Take ownership of existing internal tooling platforms (e.g. Retool, Wadsworth, ID2), ensuring clear ownership, reliable operations, and steady improvements to developer experience.</li>\n<li>Drive organization-wide adoption of AI tooling by embedding AI directly into core engineering workflows such as coding, testing, debugging, and incident response.</li>\n<li>Partner closely with DevEff, Security, Privacy, Legal, and other cross-functional partners to ensure AI tooling is safe, compliant, scalable, and aligned with Plaid’s standards.</li>\n<li>Define and execute against clear success metrics (e.g. usage, quality, reliability) to measure the real impact of Intelligent Tooling across the engineering organization.</li>\n</ul>\n<p><strong>Qualifications</strong></p>\n<ul>\n<li>8–10+ years of engineering experience, including time as an IC building production systems.</li>\n<li>3+ years of experience managing and scaling engineering teams.</li>\n<li>Demonstrated success driving adoption of new tools or workflows, ideally AI-powered, for their own team.</li>\n<li>Hands-on experience with AI coding tools, agentic workflows, or LLM-powered developer systems.</li>\n<li>Strong technical judgment with depth in at least one of: developer tooling / DX platforms, infrastructure or platform engineering, or applied AI systems in production.</li>\n<li>Experience translating ambiguous strategy into execution and delivering measurable outcomes.</li>\n<li>Excellent communication and stakeholder management skills.</li>\n</ul>\n<p><strong>Additional Information</strong></p>\n<p>Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn&#39;t fully match the job description.</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_d195961d-daa","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Plaid","sameAs":"https://plaid.com/","logo":"https://logos.yubhub.co/plaid.com.png"},"x-apply-url":"https://jobs.lever.co/plaid/5731dc74-0cf9-43ab-98db-c5e961370e7d","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$216,000-367,200 per year","x-skills-required":["AI coding tools","agentic workflows","LLM-powered developer systems","developer tooling","DX platforms","infrastructure or platform engineering","applied AI systems in production"],"x-skills-preferred":[],"datePosted":"2026-04-17T12:50:43.710Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Finance","skills":"AI coding tools, agentic workflows, LLM-powered developer systems, developer tooling, DX platforms, infrastructure or platform engineering, applied AI systems in production","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":216000,"maxValue":367200,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_59d754a0-050"},"title":"Full Stack Software Engineer","description":"<p>About Cyngn</p>\n<p>Based in Mountain View, CA, Cyngn is a publicly-traded autonomous technology company that deploys self-driving industrial vehicles to factories, warehouses, and other facilities throughout North America.</p>\n<p>We are looking for innovative, motivated, and experienced leaders to join us and move this field forward. If you like to build, tinker, and create with a team of trusted and passionate colleagues, then Cyngn is the place for you.</p>\n<p>Key reasons to join Cyngn:</p>\n<ul>\n<li><p>We are small and big. With under 100 employees, Cyngn operates with the energy of a startup. On the other hand, we’re publicly traded. This means our employees not only work in close-knit teams with mentorship from company leaders,they also get access to the liquidity of our publicly-traded equity.</p>\n</li>\n<li><p>We build today and deploy tomorrow. Our autonomous vehicles aren’t just test concepts,they’re deployed to real clients right now. That means your work will have a tangible, visible impact.</p>\n</li>\n<li><p>We aren’t robots. We just develop them. We’re a welcoming, diverse team of sharp thinkers and kind humans. Collaboration and trust drive our creative environment. 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As a Full Stack Engineer (Mid–Senior), you’ll ship features end-to-end,from Python backend services to TypeScript/JavaScript frontends,on a small, high-impact team.</p>\n<p>Responsibilities</p>\n<ul>\n<li><p>Build customer-facing web experiences: fleet dashboards, live views/maps, alerts, admin tools, and reporting using TypeScript/JavaScript.</p>\n</li>\n<li><p>Build and evolve backend services in Python that power fleet operations, integrations, data ingestion, and analytics.</p>\n</li>\n<li><p>Design and implement reliable APIs (REST and/or gRPC) that are well-documented and easy to integrate with customer systems.</p>\n</li>\n<li><p>Deliver real-time features (live vehicle state, events, notifications, operator workflows) using WebSockets and event-driven patterns.</p>\n</li>\n<li><p>Support “physical AI” workflows by connecting cloud software to autonomy/robotics systems,telemetry pipelines, command-and-control surfaces, and operational tooling that interacts with vehicles in the real world.</p>\n</li>\n<li><p>Use modern AI tools and agents to move faster and raise quality (and help build customer-facing copilot experiences where it makes sense).</p>\n</li>\n<li><p>Contribute to digital-twin simulation + validation loops (where applicable): support workflows that use simulation to test behaviors, validate releases, and reproduce field issues.</p>\n</li>\n<li><p>Raise engineering quality through testing, code reviews, observability, and pragmatic reliability/performance improvements.</p>\n</li>\n<li><p>Own meaningful chunks of the product: shape solutions, make tradeoffs, and drive work to completion.</p>\n</li>\n</ul>\n<p>Qualifications</p>\n<ul>\n<li><p>2–4+ years of professional software engineering experience.</p>\n</li>\n<li><p>Strong production experience with:</p>\n<ul>\n<li><p>Python (backend services, APIs, data workflows)</p>\n</li>\n<li><p>TypeScript or JavaScript (frontend)</p>\n</li>\n<li><p>You’ve shipped and supported user-facing web applications (not just internal tools).</p>\n</li>\n<li><p>You’re comfortable building APIs and working with databases (SQL preferred; 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Collaborate with modellers on the implementation and deployment of financial risk models. Understand client requirements and translate them into software engineering tasks.</p>\n<p>Our team</p>\n<ul>\n<li>Is passionate about technology and solving complex problems.</li>\n<li>Develops in Python, working with technologies like Pandas, Apache Arrow, Snowflake, Prefect, Docker, and Azure DevOps.</li>\n<li>Consists of technologists that unlock constant innovation.</li>\n<li>Constantly challenges the technology status quo and looks for ways to improve the platform.</li>\n</ul>\n<p>Key Responsibilities</p>\n<p>We expect the role to involve the following core responsibilities and would expect a successful candidate to be able to demonstrate skills or experience with the following (not in order of priority):</p>\n<ul>\n<li>Quickly learn the platform and act as a subject matter expert towards modelling teams and product analysts.</li>\n<li>Work with modellers and product analysts to understand the business and their requirements. Help implement those on our platform using engineering best practices.</li>\n<li>Facilitate technical design and code review sessions to ensure software meets functional and compatibility requirements, as well as high quality standards.</li>\n<li>Stay abreast of the latest developments in machine learning, quantitative finance, and technology to incorporate innovative solutions into our platform.</li>\n<li>Enhance the performance of existing models, ensuring they operate efficiently at scale.</li>\n<li>Implementation and maintenance of a standard data / technology deployment workflow to ensure that all deliverables/enhancements are delivered in a disciplined and robust manner.</li>\n<li>Ensure operational readiness of the product and meet customer commitments with regards to incident SLAs.</li>\n</ul>\n<p>Skillset</p>\n<ul>\n<li>Strong experience (3+ years) in Python is crucial</li>\n<li>Bachelor’s (BSc) or higher degree in Computer Science or related field</li>\n<li>Experience with Pandas, Apache Arrow, Snowflake, (Prefect is a plus)</li>\n<li>Good understanding of Object-Oriented Design principles</li>\n<li>Fluency with AI coding tools and the use of LLM in everyday development</li>\n<li>Good understanding of fundamental Algorithms and Data Structures</li>\n<li>Knowledge of Azure DevOps and git, CI/CD</li>\n<li>Good understanding of unit tests, integration and regression tests, and their importance</li>\n<li>An aptitude for designing data models and pipelines is a plus</li>\n<li>Ability to understand advanced mathematical and statistical methods and concepts</li>\n<li>Fluency in reading, writing and speaking English</li>\n</ul>\n<p>Personal Qualities</p>\n<ul>\n<li>Team player</li>\n<li>Problem-solving skills</li>\n<li>Critical and analytical thinking</li>\n<li>Technical curiosity</li>\n<li>Adaptable</li>\n</ul>\n<p>Our benefits</p>\n<p>To help you stay energized, engaged and inspired, we offer a wide range of employee benefits including: retirement investment and tools designed to help you in building a sound financial future; access to education reimbursement; comprehensive resources to support your physical health and emotional well-being; family support programs; and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.</p>\n<p>Our hybrid work model</p>\n<p>BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. 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You’ll work closely with Sales, Solutions Engineering, Product, Applied Engineering, and the broader Codex organization to advocate for customer needs, shape product direction, and accelerate the successful deployment of intelligent coding systems across some of the world’s most influential companies.</p>\n<p><strong>In this role, you will:</strong></p>\n<ul>\n<li>Serve as the primary technical subject matter expert on OpenAI Codex for a portfolio of customers, embedding deeply with them to enable their engineering teams and build coding workflows.</li>\n</ul>\n<ul>\n<li>Partner directly with customers to design and implement AI-enhanced development workflows, from rapid prototyping through scalable production rollout.</li>\n</ul>\n<ul>\n<li>Build high-quality demos, reference implementations, and workflow automations, using Codex itself as part of your development process.</li>\n</ul>\n<ul>\n<li>Lead large-format workshops, technical deep dives, and hands-on enablement sessions that help engineering organizations adopt AI coding tools effectively and safely.</li>\n</ul>\n<ul>\n<li>Contribute technical content including examples, guides, patterns, and best practices to the OpenAI Cookbook to help the broader developer community accelerate their work with Codex.</li>\n</ul>\n<ul>\n<li>Gather high-fidelity product insights from real customer deployments and translate them into clear product proposals and model feedback for internal teams.</li>\n</ul>\n<ul>\n<li>Influence customer strategy and decision-making by framing how AI coding tools fit into their SDLC, technical roadmap, and organizational workflows.</li>\n</ul>\n<ul>\n<li>Serve as a trusted advisor on solution architecture, operational readiness, model configuration, security considerations, and best-practice adoption.</li>\n</ul>\n<p><strong>You’ll thrive in this role if you:</strong></p>\n<ul>\n<li>Have 5+ years of technical consulting, post-sales engineering, solutions architecture, or similar experience working directly with customers.</li>\n</ul>\n<ul>\n<li>Are an active power user of AI coding tools and have deeply customized your own developer workflow; you have a point of view on what makes engineers more productive.</li>\n</ul>\n<ul>\n<li>Enjoy building scrappy, high-signal demos, integrations, and prototypes that clearly articulate what Codex can enable, often using Codex to accelerate your own development process.</li>\n</ul>\n<ul>\n<li>Have experience delivering large, high-impact workshops or technical training to engineering teams and know how to craft sessions that are engaging, hands-on, and outcomes-driven.</li>\n</ul>\n<ul>\n<li>Have contributed technical guides, patterns, or examples publicly and care about clarity, pedagogy, and community impact.</li>\n</ul>\n<ul>\n<li>Communicate complex technical concepts in clear, persuasive written and verbal form especially when helping customers make strategic decisions about where and how to apply AI.</li>\n</ul>\n<ul>\n<li>Are excited by ambiguous, rapidly evolving problem spaces and enjoy iterating toward novel solutions hand-in-hand with customers.</li>\n</ul>\n<ul>\n<li>Care about customer success, reliability, safety, and operational excellence as much as you care about technical ingenuity.</li>\n</ul>\n<p><strong>About OpenAI</strong></p>\n<p>OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.</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_e4c94efb-1a7","directApply":true,"hiringOrganization":{"@type":"Organization","name":"OpenAI","sameAs":"https://jobs.ashbyhq.com","logo":"https://logos.yubhub.co/openai.com.png"},"x-apply-url":"https://jobs.ashbyhq.com/openai/03e9c605-5b93-4589-888d-959a8071b9be","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"Competitive salary and benefits package","x-skills-required":["AI coding tools","Technical consulting","Post-sales engineering","Solutions architecture","Customer-facing leadership","Technical architecture","Product strategy","Customer success","Reliability","Safety","Operational excellence"],"x-skills-preferred":["Power user of AI coding tools","Customized developer workflow","Scrappy demos, integrations, and prototypes","Large-format workshops","Technical deep dives","Hands-on enablement sessions","Technical content creation","Product insights","Customer strategy and decision-making"],"datePosted":"2026-03-06T18:30:42.765Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Munich, Germany"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"AI coding tools, Technical consulting, Post-sales engineering, Solutions architecture, Customer-facing leadership, Technical architecture, Product strategy, Customer success, Reliability, Safety, Operational excellence, Power user of AI coding tools, Customized developer workflow, Scrappy demos, integrations, and prototypes, Large-format workshops, Technical deep dives, Hands-on enablement sessions, Technical content creation, Product insights, Customer strategy and decision-making"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_3a9d064c-28e"},"title":"AI Engineer (Staff/Principal)","description":"<p><strong>AI Engineer (Staff/Principal)</strong></p>\n<p><strong>Want to join us at a well-funded AI startup that&#39;s really going places? Ship AI features in production for real customers and revenue at 5D. Work in a low-ego, high-learning environment, and grow.</strong></p>\n<p>Apply</p>\n<p>We usually respond within a day</p>\n<p><strong>About Us:</strong></p>\n<p>Fifth Dimension is bringing vibe working to document-heavy industries. Today we work with real estate businesses in the US, EU and APAC, automating complex tasks, extracting valuable insights from documents, and empowering professionals to focus on high-impact work. Our AI workspace transforms how large investment managers and developers handle leases, development documents, and investment decisions.</p>\n<p>We&#39;re a London and New York based startup with an ample runway, backed by Tier 1 European and American investors. Our founders, Johnny Morris and Dr. Kate Jarvis bring a powerful blend of expertise: Johnny has 17+ years applying data and analytics to Real Estate, while Kate holds a Stanford PhD and 12 years of executive experience across Silicon Valley and London startups.</p>\n<p>At Fifth Dimension, we&#39;re demanding yet encouraging, valuing experimentation and kind challenges. Our company values, <strong>Own It, Ship It, and Don&#39;t Be Boring</strong>, drive us to deliver exceptional results while fostering a culture of innovation and continuous improvement.</p>\n<p><strong>The Challenge</strong></p>\n<p>It&#39;s 9 AM on a Monday. Using Claude Code, you&#39;ve just implemented a new extraction pipeline that transforms how property leases are analyzed. By noon, a major real estate firm emails: &quot;This just saved us 40 hours of work.&quot; By Thursday, you&#39;re troubleshooting with their development team as they integrate your APIs into their enterprise document management system. By Friday, you&#39;re celebrating with the team as data flows seamlessly between platforms, unlocking new capabilities for real estate investors that will help them make faster, more informed decisions across their portfolios.</p>\n<p><strong>About You</strong></p>\n<p>You&#39;re an expert software engineer who&#39;s witnessed the transformative power of AI and wants to apply it to solve real business problems. You don&#39;t just code—you architect solutions that make users say &quot;How did we ever work without this?&quot;</p>\n<p>You&#39;ve developed exceptional engineering and architectural skills through years of practice. You stay current with AI advances and can identify the right approach for each unique challenge. Your experience implementing AI in business contexts has taught you that the magic isn&#39;t in the model—it&#39;s in understanding the problem deeply.</p>\n<p>You&#39;re proficient with AI coding assistance tools like Claude Code, leveraging them to accelerate development and focus on higher-level architectural challenges. You understand that modern engineering means effectively collaborating with AI to maximise your productivity and creative potential.</p>\n<p>Details don&#39;t escape you. You&#39;re comfortable diving into complex documents and intricate code to build a complete picture. As someone who thrives in fast-paced environments, you adapt quickly and mentor other engineers while collaborating effectively with commercial teams and customers.</p>\n<p>You&#39;re passionate about your personal growth and see each complex problem as an opportunity to expand your capabilities. You actively seek challenges that push the boundaries of what&#39;s possible and value environments where you can both contribute your expertise and continue to evolve as an engineer.</p>\n<p><strong>Your Impact</strong></p>\n<p>Reporting to our CTO Chen, you&#39;ll architect and implement innovative AI technology to meet our enterprise customers&#39; unique needs. Working closely with our skilled engineering team, you&#39;ll design scalable AI solutions that deliver tangible value and expand the capabilities of our generative AI platform. You&#39;ll own the complete lifecycle of core product capabilities from initial customer conversations through architecture, implementation, deployment, and customer adoption.</p>\n<p><strong>Day to Day, You Will</strong></p>\n<ul>\n<li><strong>Think like a Product Manager+</strong>: Own core product components while balancing technical excellence with business impact</li>\n</ul>\n<ul>\n<li><strong>Own end-to-end delivery</strong> of complex features from initial concept to production deployment and customer adoption</li>\n</ul>\n<ul>\n<li><strong>Collaborate with product and commercial teams</strong> to understand customer needs and translate them into robust technical solutions</li>\n</ul>\n<ul>\n<li><strong>Leverage AI coding tools</strong> like Claude Code to accelerate development workflows</li>\n</ul>\n<ul>\n<li>Lead development of features solving our customers&#39; most complex challenges:</li>\n</ul>\n<ul>\n<li>Advanced data extraction systems for processing property leases at scale</li>\n</ul>\n<ul>\n<li>Sophisticated workflow automation for analyzing planning documents and drafting advice</li>\n</ul>\n<ul>\n<li>Multi-step agentic content generation for creating market research reports</li>\n</ul>\n<ul>\n<li>Implement data privacy and security by design</li>\n</ul>\n<ul>\n<li>Stay ahead of relevant research and technologies</li>\n</ul>\n<ul>\n<li><strong>Mentor other engineers</strong> and help establish engineering best practices</li>\n</ul>\n<ul>\n<li><strong>Invest in your own growth</strong> by taking on ambitious technical challenges and expanding your expertise</li>\n</ul>\n<ul>\n<li>Apply our engineering philosophy: intellectual honesty, effective time management, clear communication, and innovation</li>\n</ul>\n<p><strong>Our Values and Engineering Culture</strong></p>\n<p>At 5D, we embody three core principles: <strong>Own it, Ship it, and Don&#39;t be boring</strong>.</p>\n<p>Our engineering team values:</p>\n<ul>\n<li><strong>Product-Minded Engineering</strong>: Understanding the &quot;why&quot; behind features and using technical expertise to inform product decisions</li>\n</ul>\n<ul>\n<li><strong>Intellectual Honesty</strong>: Backing discussions with data and acknowledging knowledge gaps</li>\n</ul>\n<ul>\n<li><strong>Effective Time Management</strong>: Setting clear timebox and abandoning approaches that aren&#39;t working</li>\n</ul>\n<ul>\n<li><strong>Clear Communication</strong>: Writing self-documenting code and providing detailed explanations</li>\n</ul>\n<ul>\n<li><strong>Innovation Mindset</strong>: Forming well-reasoned opinions backed by data and continuously learning</li>\n</ul>\n<ul>\n<li><strong>Personal Growth</strong>: Supporting your development through challenging work and opportunities to expand your expertise</li>\n</ul>\n<p><strong>Intellectual Curiosity and Honesty in Action: An Example</strong></p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_3a9d064c-28e","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Fifth Dimension","sameAs":"https://careers.fifthdimensionai.com","logo":"https://logos.yubhub.co/careers.fifthdimensionai.com.png"},"x-apply-url":"https://careers.fifthdimensionai.com/jobs/4876297-ai-engineer-staff-principal","x-work-arrangement":"hybrid","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["AI coding assistance tools like Claude Code","Exceptional engineering and architectural skills","Proficiency with AI advances","Understanding of data privacy and security","Experience implementing AI in business contexts"],"x-skills-preferred":["Data extraction systems for processing property leases at scale","Sophisticated workflow automation for analyzing planning documents and drafting advice","Multi-step agentic content generation for creating market research reports"],"datePosted":"2026-03-06T14:17:50.467Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London and New York"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"AI coding assistance tools like Claude Code, Exceptional engineering and architectural skills, Proficiency with AI advances, Understanding of data privacy and security, Experience implementing AI in business contexts, Data extraction systems for processing property leases at scale, Sophisticated workflow automation for analyzing planning documents and drafting advice, Multi-step agentic content generation for creating market research reports"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_810f8996-ce6"},"title":"Product Engineer (Staff/Principal)","description":"<p><strong>Want to join us at a well-funded AI startup that&#39;s really going places? Build product that customers love, by AI, in production, for real revenue at 5D. Work in a low-ego, high-learning environment.</strong></p>\n<p>Apply</p>\n<p>We usually respond within a day</p>\n<p><strong>About Us:</strong></p>\n<p>Fifth Dimension is bringing vibe working to document-heavy industries. Today we work with real estate businesses in the US, EU and APAC, automating complex tasks, extracting valuable insights from documents, and empowering professionals to focus on high-impact work. Our AI workspace transforms how large investment managers and developers handle leases, development documents, and investment decisions.</p>\n<p>We&#39;re a London and New York based startup with an ample runway, backed by Tier 1 European and American investors. 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By Wednesday, you&#39;re on a call with a major real estate firm, listening to how they actually use the platform day-to-day—and you spot an opportunity nobody had articulated yet. By Thursday, you&#39;ve shaped that insight into a spec, got buy-in, and started building. By Friday, you&#39;re celebrating with the team as a customer tells you: &quot;This is exactly what we needed.&quot;</p>\n<p><strong>About You</strong></p>\n<p>You&#39;ve honed your craft through years of practice across the full stack, from performant backends and well-designed APIs to responsive, polished frontends. You have strong product intuition—you know how to talk to customers, read between the lines of a feature request, and make pragmatic trade-offs between scope, speed, and quality.</p>\n<p>You&#39;re proficient with AI coding assistance tools like Claude Code, leveraging them to accelerate development and focus on higher-level product and architectural challenges. You understand that modern engineering means effectively collaborating with AI to maximise your productivity and creative potential.</p>\n<p>Details don&#39;t escape you. You take pride in the end-to-end user experience—from the API contract to the loading state to the edge case that only one customer hits. As someone who thrives in fast-paced environments, you adapt quickly and mentor other engineers while collaborating effectively with commercial teams and customers.</p>\n<p>You&#39;re passionate about your personal growth and see each complex problem as an opportunity to expand your capabilities. You actively seek challenges that push the boundaries of what&#39;s possible and value environments where you can both contribute your expertise and continue to evolve as an engineer.</p>\n<p><strong>Your Impact</strong></p>\n<p>Reporting to our CTO Chen, you&#39;ll own and shape core product areas end-to-end—from discovery and design through to architecture, implementation, deployment, and customer adoption. Working closely with our skilled engineering team and commercial stakeholders, you&#39;ll combine deep technical ability with strong product sense to build capabilities that deliver tangible value to enterprise customers and drive the business forward.</p>\n<p><strong>Day to Day, You Will</strong></p>\n<ul>\n<li><strong>Think like a Product Manager+</strong>: Own core product areas while balancing technical excellence with business impact—you don&#39;t wait for a spec, you help write it</li>\n</ul>\n<ul>\n<li><strong>Own end-to-end delivery</strong> of complex features from discovery and definition through to production deployment and customer adoption</li>\n</ul>\n<ul>\n<li><strong>Talk to customers</strong> regularly—understanding their workflows, pain points, and unarticulated needs to inform what you build</li>\n</ul>\n<ul>\n<li><strong>Collaborate with product, design, and commercial teams</strong> to shape the roadmap and translate customer insight into robust technical solutions</li>\n</ul>\n<ul>\n<li><strong>Leverage AI coding tools</strong> like Claude Code to accelerate development workflows</li>\n</ul>\n<ul>\n<li>Lead development of the systems that underpin our platform:</li>\n</ul>\n<ul>\n<li>Scalable APIs and backend services that power document processing, data extraction, and agentic workflows</li>\n</ul>\n<ul>\n<li>Reliable streaming and event-driven architectures for real-time user experiences</li>\n</ul>\n<ul>\n<li>Frontend experiences that make powerful AI capabilities intuitive and accessible</li>\n</ul>\n<ul>\n<li>Integrations with enterprise systems and third-party platforms</li>\n</ul>\n<ul>\n<li>Implement data privacy and security by design</li>\n</ul>\n<ul>\n<li>Champion engineering best practices: testing, observability, CI/CD, and infrastructure-as-code</li>\n</ul>\n<ul>\n<li><strong>Mentor other engineers</strong> and help establish engineering and product-thinking best practices</li>\n</ul>\n<ul>\n<li><strong>Invest in your own growth</strong> by taking on ambitious technical challenges and expanding your expertise</li>\n</ul>\n<ul>\n<li>Apply our engineering philosophy: intellectual honesty, effective time management, clear communication, and innovation</li>\n</ul>\n<p><strong>Our Values and Engineering Culture</strong></p>\n<p>At 5D, we embody three core principles: <strong>Own it, Ship it, and Don&#39;t be boring</strong>.</p>\n<p>Our engineering team values:</p>\n<ul>\n<li><strong>Product-Minded Engineering</strong>: Understanding the &quot;why&quot; behind features and using technical expertise to inform product decisions</li>\n</ul>\n<ul>\n<li><strong>Intellectual Honesty</strong>: Backing discussions with data and acknowledging knowledge gaps</li>\n</ul>\n<ul>\n<li><strong>Effective Time Management</strong>: Setting clear timebox and abandoning approaches that aren&#39;t working</li>\n</ul>\n<ul>\n<li><strong>Clear Communication</strong>: Writing self-documenting code and providing detailed explanations</li>\n</ul>\n<ul>\n<li>**Innovation Minds</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_810f8996-ce6","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Fifth Dimension","sameAs":"https://careers.fifthdimensionai.com","logo":"https://logos.yubhub.co/careers.fifthdimensionai.com.png"},"x-apply-url":"https://careers.fifthdimensionai.com/jobs/7199218-product-engineer-staff-principal","x-work-arrangement":"hybrid","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"Competitive salary and equity","x-skills-required":["AI coding assistance tools","Claude Code","Full stack development","API design","Backend services","Frontend experiences","Data privacy and security","Testing","Observability","CI/CD","Infrastructure-as-code"],"x-skills-preferred":["Machine learning","Cloud computing","DevOps","Agile development","Scrum","Kanban"],"datePosted":"2026-03-06T14:16:53.100Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London and New York"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"AI coding assistance tools, Claude Code, Full stack development, API design, Backend services, Frontend experiences, Data privacy and security, Testing, Observability, CI/CD, Infrastructure-as-code, Machine learning, Cloud computing, DevOps, Agile development, Scrum, Kanban"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_9f2e194b-fdd"},"title":"DevTools Engineer (C++)","description":"<p>Opening. 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