• Review and enhance AI-generated outputs and recommendations related to AI architecture, design, and scalability • Evaluate the technical accuracy and feasibility of AI-driven architectural scenarios and solutions • Develop practical examples, use cases, and risk assessments from your domain experience • Create scenario variations for different architectural roles – solution architects, data scientists, leads • Identify shortcomings, risks, and potential gaps in AI-generated suggestions, providing actionable feedback • Directly influence how AI models reason about architecture design, best practices, and industry challenges

Title: Design Engineer, AI Capability Development (Education Labs) Location: San Francisco, CA | New York City, NY Job Description: About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We believe skill with AI is fundamental to human agency. Education Labs builds the paradigms that help people become genuinely more capable-not just more engaged. This is a new kind of role: part researcher, part product builder, part interaction designer. You'll be the second technical builder on a small team studying how AI transforms human capability-and shipping features based on what we discover. You'll have significant creative license to define what "good" looks like, exploring new interaction patterns rather than optimizing existing ones. We're skeptical of tutorials, onboarding flows, and engagement metrics. We care about experiences that make users progressively more capable, curious, and empowered over time. This means integrating skill development into product design, using Claude itself as a capability-building partner, and measuring success by how users actually grow. You'll operate as a one-person technical shop: prototyping new ideas, establishing technical direction, and shipping production-quality features to millions of users. You'll need strong product instincts and clean interface design sensibilities, balanced with comfort in ambiguity and frontier thinking. Responsibilities: - Ship features that help users develop real skill with AI-measuring success by capability growth, not time-on-site - Architect end-to-end prototypes (front-end and back-end) that test new interaction paradigms, with particular attention to the front-of-the-frontend: motion, polish, and interaction feel - Define technical direction for the team-establish patterns others can follow - Build relationships across Product, Design, and Research to influence how skill development principles shape Anthropic's broader product strategy - Shape team strategy and roadmap-identify the highest-leverage opportunities and build conviction across stakeholders - Translate research insights about skill development and human-AI collaboration into shipped product through close collaboration with researchers - Document and share your work through clear writing, prototypes, and presentations that influence thinking across the organization You may be a good fit if you have: Strong full-stack engineering with design sensibility - 6+ years building and shipping web products, with deep expertise across the stack - Strong front-end craft: TypeScript/JavaScript, React, CSS-with an eye for interaction design, motion, and visual detail - Solid back-end and data pipeline experience: Python, API design, analytics infrastructure - A portfolio showcasing innovative interaction designs and high-quality implementations - Track record of independently driving features from prototype to production Deep conviction about human capability - Strong perspective on how technology should enhance human capabilities rather than diminish them - Experience or genuine passion for skill development, HCI, developer tools, or products that help people become more capable - Skepticism of purely engagement-driven metrics; interest in measuring capability outcomes Research mindset with product execution - Comfort with ambiguity and exploring undefined problem spaces - Ability to rapidly prototype, test with users, and iterate toward production - Strong instincts for product design and user experience, even without formal design training Strategic leadership and coalition building - Experience setting vision, shaping team strategy, and building conviction across cross-functional stakeholders - Ability to build productive relationships with Product, Design, Research, and Engineering teams-especially when your team isn't the owner - Strong sense of prioritization-knowing what to build now, what to defer, and what to cut - Track record of influencing roadmaps and decisions beyond your immediate team Strong candidates may also have: - Experience in developer tools, creative tools, learning platforms, or other products where user skill development and mastery matter more than time-on-site - Background in learning sciences, cognitive science, HCI, skill acquisition research, or educational psychology (formal or self-directed) - Experience with experimentation frameworks, A/B testing, or analytics that measure capability development in production - Previous experience in research labs, frontier tech companies, or startups with high autonomy and ambiguity - Published writing, talks, or open-source work on skill development, human-AI interaction, or product philosophy - Experience building AI-native product experiences or working with LLMs in production contexts Strong candidates may also have - Background in learning sciences, cognitive science, HCI, or educational psychology - Experience in developer tools, creative tools, or learning platforms where mastery matters more than engagement - Published writing, talks, or open-source work on skill development or human-AI interaction - Experience building AI-native product experiences or working with LLMs in production What this role is not This is a hands-on technical role building product features, embedded within a research team. You'll provide technical guidance and help set direction, but this role doesn't involve people management off the bat. If you're looking to immediately transition into engineering management or lead a large team, this likely isn't the right fit. The annual compensation range for this role is listed below. For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $300,000 - $405,000 USD Logistics Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links-visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact - advancing our long-term goals of steerable, trustworthy AI - rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process

Role Description Vous êtes placé sous la responsabilité hiérarchique du chef de bureau ANAH. Courant 2026, vous appuyez le chef de bureau ANAH et la chargée de mission ANAH pour préfigurer les modalités de reprise de la délégation des aides à la pierre par la DDT à partir du 1er janvier 2027. A compter du 1er janvier 2027, vous intégrez l'équipe d'instruction (3 instructeurs) des dossiers de demande d'aides de l'Anah selon un format que la phase de préfiguration courant 2026 aura permis d'affiner : - Modalités de répartition et de priorisation des dossiers - Organisation des contrôles - Modalités d'animation des partenaires impliqués dans la rénovation du parc privé ancien Qualifications - Agent de catégorie C ou B - Expérience dans une unité d'instruction des aides de l'Anah (si possible) Requirements - Cadre juridique et réglementaire applicable aux aides de l'Anah - Infrastructures numériques associées à l'instruction et au pilotage des aides de l'Anah (Op@l, Infocentre, SEL, etc...) Benefits - Constituer et entretenir un réseau - Anticiper un risque, une évolution - Proposer - Convaincre Company Description - Faire preuve d'initiative - Avoir l'esprit de synthèse Éléments de candidature Documents à transmettre : Pour postuler à cette offre, l'envoi du CV et d'une lettre de motivation est obligatoire. Personnes à contacter : - david.fayard@haute-loire.gouv.fr - valerie.sigaud@haute-loire.gouv.fr

Company Description Managing business expenses shouldn’t be a guessing game. Yet many SMEs still lack clear cash flow visibility and spend control. At Budgetly, we’re changing that. We’re building an AI-first platform that simplifies expense management and helps businesses make better financial decisions, faster. The goal is simple: help you spend smarter, save time, and grow profitably. The bet Most companies are using AI to help engineers write code faster. We’re doing something different. We’re building AI agents across the entire company, not just engineering. Sales, marketing, onboarding, and support are all being rebuilt around agentic workflows. If this works, capability scales with systems, not headcount. What success looks like in 12 months - Revenue teams execute faster with less manual work - Core GTM workflows are systemised and consistently followed - AI is embedded into daily revenue operations (not a side experiment) - Revenue outcomes improve without growing the team Job Description This isn’t a traditional engineering role. You won’t spend most of your time writing product features. Your main focus is internal: helping the people accountable for revenue do their jobs better, faster, and more consistently through AI and systems. Your focus is on: - Building AI-enabled workflows and systems - Designing tools that support prospecting, deal progression, onboarding, and retention - Enablement and iteration - Teaching teams how to use these systems, identifying where they break, and improving them Your day to day: - Translate ambiguous business problems into clear, usable systems and tools - Work directly with revenue owners to understand friction and remove it - Build tooling and automations that improve execution quality - Identify where workflows fail and continuously improve them - Act as a teacher and multiplier, not just a builder Qualifications This role requires strength in two areas, equally: - Systems thinking for agent workflows. You can design feedback loops, identify where pipelines fail, and build the scaffolding (steering files, review gates, prompt structures) that makes agents reliable. - Engineering Taste. You look at agent-generated code and immediately know whether it’s good — not just “does it work” but “does it match the conventions, is it the simplest solution, would I approve this PR.” This requires deep experience shipping production software. You can’t judge quality you’ve never produced yourself. What we need from you - Strong software engineering experience in production environments - Strong ability to design and improve processes and workflows - Experience working with tools like CRMs, automation platforms, or AI tools - Comfort working in ambiguity, as you’ll help define what “good” looks like in this space Nice to have: AWS knowledge. Our backend is a mix of modern serverless microservices (Typescript) and a legacy Express/PostgreSQL monolith. Familiarity with either side means faster ramp-up. Who this role is not for Be honest with yourself: - If you want to spend most of your time building features directly, this role will frustrate you. The whole point is to automate yourself out of the direct build loop. - If you struggle to influence or teach others, you’ll find it hard to drive impact in this role. - If you prefer clearly defined roles, stable scope, and established best practices, this environment won’t be a match. The team and company This role is part of a team of 3–4 engineers reporting to a hands-on CTO. The entire company is going all-in on AI-enabled workflows, and you’ll play a key role in making that real for revenue teams. Additional Information We’re guided by trust, respect, and ownership. Our values, Embrace Change, Carte Blanche, Find Wisdom in Data, and We All “Own It”, shape how we work. - We’re fully remote, so you can work from anywhere in Australia - 5 weeks annual leave and flexible working - we believe in balance - Monthly “Wellness Budget” to help you stay healthy, mentally & physically - Employee share options (ESOP) for all team members - we truly all “own it” How to apply? To start your application with us, submit your CV via the application form. Note that background checks are required as part of our offer process. We welcome applications from all backgrounds, abilities, and identities. We value diversity and believe that it enhances our creativity, innovation, and overall success. Join us in creating a workplace where everyone can thrive. - Compensation: AUD 110000 - AUD 130000 - yearly