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Small wages, bitter cold, long months of complete darkness, constant danger, safe return doubtful. Honour and recognition in case of success.</p>\n<p>Fridtjof Nansen crossed the Arctic, going places no human had ever been. Together with our users, we&#39;re doing the same onchain: charting entirely new territory.</p>\n<p>Nansen is a special company. We&#39;re building the single best product for onchain investing, allowing A New Way To Trade that&#39;s agentic, onchain, and fully integrated.</p>\n<p>If you&#39;re looking for an adventure, you&#39;ve come to the right place.</p>\n<p><strong>Our mission:</strong></p>\n<p>Surface the signal and create winners.</p>\n<p><strong>What you&#39;ll do at Nansen</strong></p>\n<p>You&#39;ll build the intelligence layer that powers that mission. That means working with 500M+ labeled blockchain addresses, training models on data no one else has, and shipping AI/ML systems that help real investors make better decisions and grow their portfolios.</p>\n<ul>\n<li>Design and build AI/ML models on top of the richest onchain dataset in the world , then make them fast, scalable, and production-ready</li>\n<li>Work shoulder-to-shoulder with engineers and product to ship models that actually reach users</li>\n<li>Stay ahead of the curve in both AI/ML and blockchain , this space moves fast, and we need someone who moves faster</li>\n<li>Level up the team: mentor junior engineers, raise the bar on what good looks like</li>\n<li>Own your work end-to-end; from data pipeline to deployed feature</li>\n</ul>\n<p><strong>What we&#39;re looking for</strong></p>\n<ul>\n<li>You&#39;ve shipped AI/ML at production scale , you have the scars and the portfolio to prove it</li>\n<li>Deep fluency in frameworks around Python, Generative AI and agents</li>\n<li>Deep expertise in LLMs, agent architectures, prompt engineering, and context engineering , across OpenAI, Anthropic, and beyond</li>\n<li>You can work the full data stack: feature engineering, pipelines, model serving. Data engineering experience is a genuine edge</li>\n<li>You don&#39;t just use AI as a tool. You think with it. AI-first isn&#39;t a checkbox, it&#39;s how you work</li>\n<li>Bonus: you know onchain, you care about crypto, and you have opinions about where this is going</li>\n</ul>\n<p><strong>What we offer our crew</strong></p>\n<ul>\n<li>Competitive salary. Meaningful equity. Real ownership in what you build</li>\n<li>Fully remote with two no-meeting days a week , because deep work doesn&#39;t happen in a Google Meet</li>\n<li>Annual company retreat and team off-sites in one of our offices: Singapore, Bangkok, London, and Oslo , flights and accommodation covered</li>\n<li>Unlimited AI tokens: Claude, OpenAI, whatever helps you move fast</li>\n<li>Your own OpenClaw for work</li>\n<li>Nansen Pro account: giving you full access to the most detailed onchain data in the market</li>\n<li>A team that started as data engineers and data scientists. 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We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.</p>\n<p><strong>About Beneficial Deployments</strong></p>\n<p>Beneficial Deployments ensures AI reaches and benefits the communities that need it most. We partner with nonprofits, foundations, and mission-driven organisations to deploy Claude in education, global health, economic mobility, and life sciences, focusing on raising the floor.</p>\n<p><strong>About the Role</strong></p>\n<p>We&#39;re looking for an Applied AI Engineer to join our Beneficial Deployments team. 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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>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.</strong></p>\n<p><strong>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.</strong></p>\n<p><strong>How we&#39;re different</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</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_297256fb-31a","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://job-boards.greenhouse.io","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5068226008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$280,000 - $300,000 USD","x-skills-required":["Software Engineer","Forward Deployed Engineer","Technical founder","LLM-powered applications","Prompting","Context engineering","Agent architectures","Evaluation frameworks","Deployment at scale","Ed-tech","Healthcare","Scientific research","Nonprofit","Mission-driven organisations","Public goods infrastructure","Benchmarks","MCP's","Agent Skills","Technical presentations","Demos","Scalable technical content","Documentation","Tutorials","Sample code"],"x-skills-preferred":["Pair programming","Prototyping","Code contributions","Team processes","Communication skills"],"datePosted":"2026-03-08T13:56:45.563Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Software Engineer, Forward Deployed Engineer, Technical founder, LLM-powered applications, Prompting, Context engineering, Agent architectures, Evaluation frameworks, Deployment at scale, Ed-tech, Healthcare, Scientific research, Nonprofit, Mission-driven organisations, Public goods infrastructure, Benchmarks, MCP's, Agent Skills, Technical presentations, Demos, Scalable technical content, Documentation, Tutorials, Sample code, Pair programming, Prototyping, Code contributions, Team processes, Communication skills","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":280000,"maxValue":300000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_325895d8-540"},"title":"Applied AI Engineer, Life Sciences (Beneficial Deployments)","description":"<p><strong>About the Role:</strong></p>\n<p>We&#39;re looking for an Applied AI Engineer to join our Beneficial Deployments team, focused on maximising the impact of Claude in the life sciences. Our goal is ambitious: accelerate scientific progress from R&amp;D through translation by an order of magnitude.</p>\n<p>You&#39;ll work directly with flagship research partners like Howard Hughes Medical Institute and The Allen Institute, embedded in their scientific workflows. This isn&#39;t consulting from the outside — you&#39;ll be building alongside their engineers, prototyping agents that fit into real research pipelines, and developing the ecosystem-level tooling (MCP servers, benchmarks, reusable agent skills) that extends Claude&#39;s usefulness across the broader life sciences community.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Partner deeply with flagship life sciences research institutions — understand their scientific workflows end-to-end, build hands-on with their engineering teams, and help take projects from early exploration to production systems integrated into how they do science day-to-day.</li>\n<li>Develop reusable ecosystem infrastructure, like MCP servers for domain-specific data sources (genomics platforms, literature databases, experimental repositories), instruments, scientifically-grounded benchmarks, and agent skills that other institutions can adopt without starting from scratch.</li>\n<li>Identify what&#39;s actually hard about deploying AI in life sciences (heterogeneous data, auditability requirements, the prototype-to-trust gap) and feed those findings back to product, engineering, and research.</li>\n<li>Create technical content and documentation that lets partners self-serve, so what works for one institution can scale globally without the same level of hand-holding.</li>\n</ul>\n<p><strong>You Might Be a Good Fit If You Have:</strong></p>\n<ul>\n<li>4+ years as a Software Engineer, Forward Deployed Engineer, or technical founder — with production experience shipping systems that real users depend on.</li>\n<li>Deep research experience in life sciences, biomedical research, or scientific computing. 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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 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_325895d8-540","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://job-boards.greenhouse.io","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5111942008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$280,000 - $320,000 USD","x-skills-required":["Software Engineer","Forward Deployed Engineer","Technical Founder","Life Sciences","Biomedical Research","Scientific Computing","Genomics","Neuroscience","Drug Discovery","LLM-powered tools","Prompting","Context Engineering","Agent Architectures","Evaluation Frameworks"],"x-skills-preferred":["Builder Credibility","Scrappy Mentality","Production Code","Shipping Systems","Real Users"],"datePosted":"2026-03-08T13:56:01.188Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Software Engineer, Forward Deployed Engineer, Technical Founder, Life Sciences, Biomedical Research, Scientific Computing, Genomics, Neuroscience, Drug Discovery, LLM-powered tools, Prompting, Context Engineering, Agent Architectures, Evaluation Frameworks, Builder Credibility, Scrappy Mentality, Production Code, Shipping Systems, Real Users","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":280000,"maxValue":320000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_ecc4ede4-8ad"},"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. 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. 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<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<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<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<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>You may be a good fit if you have:</strong></p>\n<ul>\n<li>5+ 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<li>Experience working with startups or high-growth technology companies; you understand the velocity and constraints of early-stage companies</li>\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<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<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<li>Strong technical communication skills with the ability to translate complex AI concepts into actionable insights for founders and engineering teams</li>\n<li>Track record of selling technical products in competitive markets</li>\n<li>Comfortable with Python and familiarity with common LLM frameworks, tools, and integration patterns</li>\n<li>Passion for making powerful technology safe and societally beneficial</li>\n</ul>\n<p><strong>Logistics</strong></p>\n<p><strong>Education requirements:</strong> We require at least a Bachelor&#39;s degree in a related field or equivalent experience. <strong>Location-based hybrid policy:</strong> 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><strong>Visa sponsorship:</strong> 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><strong>We encourage you to apply even if you do not believe you meet every single qualification.</strong> 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><strong>Your safety matters to us.</strong> 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><strong>How we&#39;re different</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 the state of the art in AI and making a positive impact on society.</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_ecc4ede4-8ad","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://job-boards.greenhouse.io","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/4968059008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"£150,000 - £170,000GBP","x-skills-required":["Python","LLM frameworks","AI engineering best practices","Context engineering","Evaluation frameworks","Modern AI architectures"],"x-skills-preferred":["Sales Engineer","Forward Deployed Engineer","Technical founder","Software engineer","Technical founder-led sales"],"datePosted":"2026-03-08T13:52:25.221Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London, UK"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, LLM frameworks, AI engineering best practices, Context engineering, Evaluation frameworks, Modern AI architectures, Sales Engineer, Forward Deployed Engineer, Technical founder, Software engineer, Technical founder-led sales","baseSalary":{"@type":"MonetaryAmount","currency":"GBP","value":{"@type":"QuantitativeValue","minValue":150000,"maxValue":170000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_453f53c5-e0d"},"title":"Research Engineer, AI Observability","description":"<p><strong>About Anthropic</strong></p>\n<p>Anthropic&#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. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.</p>\n<p><strong>About the Team</strong></p>\n<p>As AI training and deployments scale, the volume of data we need to monitor and understand is exploding. Our team uses Claude itself to make sense of this data. We own an integrated set of tools enabling Anthropic to ask open-ended questions, surface unexpected patterns, and maintain meaningful human oversight over massive datasets.</p>\n<p>Our tools are widely adopted internally — powering ongoing enforcement, threat intelligence investigations, model audits, and more — and we’re looking for experienced engineers and researchers to both scale up existing applications and go zero-to-one on new ones.</p>\n<p><strong>About the Role</strong></p>\n<p>As a Research Engineer on our team, you&#39;ll design and build systems that let AI analyse large, unstructured datasets — think tens or hundreds of thousands of conversations or documents — and produce structured, trustworthy insights. You&#39;ll work across the full stack, from core analysis frameworks through user-facing apps and interfaces.</p>\n<p>This is a high-leverage role. The tools you build will be used by dozens of researchers and investigators, and directly shape our ability to measure and mitigate both misuse and misalignment.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Design and implement AI-based monitoring systems for AI training and deployment</li>\n</ul>\n<ul>\n<li>Extend and improve core frameworks for processing large volumes of unstructured text</li>\n</ul>\n<ul>\n<li>Partner with researchers and safety teams across Anthropic to understand their analytical needs and build solutions</li>\n</ul>\n<ul>\n<li>Develop agentic integrations that allow AI systems to autonomously investigate and act on analytical findings</li>\n</ul>\n<ul>\n<li>Contribute to the strategic direction of the team, including decisions about what to build, what to partner on, and where to invest</li>\n</ul>\n<p><strong>You May Be a Good Fit If You:</strong></p>\n<ul>\n<li>Have 5+ years of software engineering experience, with meaningful exposure to ML systems</li>\n</ul>\n<ul>\n<li>Are excited about the problem of scaling human oversight of AI systems</li>\n</ul>\n<ul>\n<li>Are familiar with LLM application development (context engineering, evaluation, orchestration)</li>\n</ul>\n<ul>\n<li>Enjoy building tools that other people use — you care about UX, reliability, and documentation</li>\n</ul>\n<ul>\n<li>Can context-switch between deep infrastructure work and user-facing product thinking</li>\n</ul>\n<ul>\n<li>Thrive in collaborative, cross-functional environments</li>\n</ul>\n<p><strong>Strong Candidates May Also Have:</strong></p>\n<ul>\n<li>Research experience in AI safety, alignment, or responsible deployment</li>\n</ul>\n<ul>\n<li>Practical experience with both data science and engineering, including developing and using large-scale data processing frameworks</li>\n</ul>\n<ul>\n<li>Experience with productionizing internal tools or building developer-facing platforms</li>\n</ul>\n<ul>\n<li>Background in building monitoring or observability systems</li>\n</ul>\n<ul>\n<li>Comfort with ambiguity — our team is small and growing, and you&#39;ll help define what we become</li>\n</ul>\n<p><strong>Logistics</strong></p>\n<p><strong>Education requirements:</strong> We require at least a Bachelor&#39;s degree in a related field or equivalent experience. <strong>Location-based hybrid policy:</strong> 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><strong>Visa sponsorship:</strong> 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><strong>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.</strong></p>\n<p><strong>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.</strong></p>\n<p><strong>How we&#39;re different</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.</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_453f53c5-e0d","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://job-boards.greenhouse.io","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5125083008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$320,000 - $405,000 USD","x-skills-required":["software engineering","ML systems","LLM application development","context engineering","evaluation","orchestration","UX","reliability","documentation","data science","engineering","large-scale data processing frameworks","productionizing internal tools","developer-facing platforms","monitoring","observability systems"],"x-skills-preferred":["research experience in AI safety","alignment","responsible deployment","practical experience with both data science and engineering","experience with productionizing internal tools or building developer-facing platforms","background in building monitoring or observability systems","comfort with ambiguity"],"datePosted":"2026-03-08T13:49:26.465Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"software engineering, ML systems, LLM application development, context engineering, evaluation, orchestration, UX, reliability, documentation, data science, engineering, large-scale data processing frameworks, productionizing internal tools, developer-facing platforms, monitoring, observability systems, research experience in AI safety, alignment, responsible deployment, practical experience with both data science and engineering, experience with productionizing internal tools or building developer-facing platforms, background in building monitoring or observability systems, comfort with ambiguity","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_8c4eada1-9ea"},"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. 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. 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<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<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<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<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>You may be a good fit if you have:</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<li>Experience working with startups or high-growth technology companies; you understand the velocity and constraints of early-stage companies</li>\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<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<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<li>Strong technical communication skills with the ability to translate complex AI concepts into actionable insights for founders and engineering teams</li>\n<li>Track record of selling technical products in competitive markets</li>\n<li>Comfortable with Python and familiarity with common LLM frameworks, tools, and integration patterns</li>\n<li>Passion for making powerful technology safe and societally beneficial</li>\n</ul>\n<p><strong>Logistics</strong></p>\n<p><strong>Education requirements:</strong> We require at least a Bachelor&#39;s degree in a related field or equivalent experience. <strong>Location-based hybrid policy:</strong> 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><strong>Visa sponsorship:</strong> 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><strong>We encourage you to apply even if you do not believe you meet every single qualification.</strong> Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you&#39;re interested in this work. We think AI systems like the ones we&#39;re building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.</p>\n<p><strong>Your safety matters to us.</strong> 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><strong>How we&#39;re different</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.</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_8c4eada1-9ea","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://job-boards.greenhouse.io","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5057258008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$170,000 - $270,000 USD","x-skills-required":["Technical customer-facing roles","Solutions Architect","Sales Engineer","Forward Deployed Engineer","Technical founder","Python","LLM frameworks","Tools","Integration patterns","Context engineering","Evaluation frameworks","Modern AI architectures"],"x-skills-preferred":["Builder credibility","Software engineer","Technical founder","Builder-first mindset","LLM solutions","Technical evaluations","Evaluation frameworks","Modern AI architectures","Python","LLM frameworks","Tools","Integration patterns","Context engineering","Evaluation frameworks","Modern AI architectures"],"datePosted":"2026-03-08T13:47:48.001Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Technical customer-facing roles, Solutions Architect, Sales Engineer, Forward Deployed Engineer, Technical founder, Python, LLM frameworks, Tools, Integration patterns, Context engineering, Evaluation frameworks, Modern AI architectures, Builder credibility, Software engineer, Technical founder, Builder-first mindset, LLM solutions, Technical evaluations, Evaluation frameworks, Modern AI architectures, Python, LLM frameworks, Tools, Integration patterns, Context engineering, Evaluation frameworks, Modern AI architectures","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":170000,"maxValue":270000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_b9169446-789"},"title":"AI Enablement Engineer","description":"<p>As an AI Solutions Engineer for EA Experiences, you will be an innovator and creator of cutting-edge AI solutions, solutions that keep our fans at the center of everything we do. You will collaborate closely with teams across EA Experiences, developing and understanding of their business, their challenges, and their opportunities. You will rapidly create innovative AI solutions using cutting-edge AI technologies that provide increased efficiency and help our teams focus on what matters most, our fans.</p>\n<p><strong>What you&#39;ll do</strong></p>\n<p>Implement AI solutions to enable efficiency, expansion, and transformation across EA Experiences, directly aligned with EA Experiences&#39; goals. 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